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1 Commits

Author SHA1 Message Date
Guillermo Oyarzun
f3f05f9068 refactor(gpu): random test fft 2024-06-27 10:10:13 +02:00
857 changed files with 35423 additions and 71616 deletions

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@@ -4,7 +4,6 @@ self-hosted-runner:
- m1mac
- 4090-desktop
- large_windows_16_latest
- large_ubuntu_16
# Configuration variables in array of strings defined in your repository or
# organization. `null` means disabling configuration variables check.
# Empty array means no configuration variable is allowed.

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@@ -1,117 +0,0 @@
# Run backward compatibility tests
name: Backward compatibility Tests on CPU
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
jobs:
setup-instance:
name: Setup instance (backward-compat-tests)
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: cpu-small
backward-compat-tests:
name: Backward compatibility tests
needs: [ setup-instance ]
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Install git-lfs
run: |
sudo apt update && sudo apt -y install git-lfs
- name: Use specific data branch
if: ${{ contains(github.event.pull_request.labels.*.name, 'data_PR') }}
env:
PR_BRANCH: ${{ github.head_ref || github.ref_name }}
run: |
echo "BACKWARD_COMPAT_DATA_BRANCH=${PR_BRANCH}" >> "${GITHUB_ENV}"
- name: Get backward compat branch
id: backward_compat_branch
run: |
BRANCH="$(make backward_compat_branch)"
echo "branch=${BRANCH}" >> "${GITHUB_OUTPUT}"
- name: Clone test data
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
persist-credentials: 'false'
repository: zama-ai/tfhe-backward-compat-data
path: tfhe/tfhe-backward-compat-data
lfs: 'true'
ref: ${{ steps.backward_compat_branch.outputs.branch }}
- name: Run backward compatibility tests
run: |
make test_backward_compatibility_ci
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Backward compatibility tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (backward-compat-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, backward-compat-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (backward-compat-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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@@ -1,4 +1,4 @@
# Run a small subset of tests to ensure quick feedback.
# Run a small subset of shortint and integer tests to ensure quick feedback.
name: Fast AWS Tests on CPU
env:
@@ -11,7 +11,6 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
@@ -19,119 +18,15 @@ on:
pull_request:
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
csprng_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.csprng_any_changed }}
zk_pok_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.zk_pok_any_changed }}
versionable_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.versionable_any_changed }}
core_crypto_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.core_crypto_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
boolean_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.boolean_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
shortint_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.shortint_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
integer_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.integer_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
wasm_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.wasm_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
high_level_api_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.high_level_api_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
user_docs_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.user_docs_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
any_file_changed: ${{ env.IS_PULL_REQUEST == 'false' || steps.aggregated-changes.outputs.any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
dependencies:
- tfhe/Cargo.toml
- concrete-csprng/**
- tfhe-zk-pok/**
- utils/tfhe-versionable/**
- utils/tfhe-versionable-derive/**
csprng:
- concrete-csprng/**
zk_pok:
- tfhe-zk-pok/**
versionable:
- utils/tfhe-versionable/**
- utils/tfhe-versionable-derive/**
core_crypto:
- tfhe/src/core_crypto/**
boolean:
- tfhe/src/core_crypto/**
- tfhe/src/boolean/**
shortint:
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
integer:
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
- tfhe/src/integer/**
wasm:
- tfhe/src/**
- tfhe/js_on_wasm_tests/**
- tfhe/web_wasm_parallel_tests/**
- '!tfhe/src/c_api/**'
- '!tfhe/src/boolean/**'
high_level_api:
- tfhe/src/**
- '!tfhe/src/c_api/**'
- '!tfhe/src/boolean/**'
- '!tfhe/src/c_api/**'
- '!tfhe/src/js_on_wasm_api/**'
user_docs:
- tfhe/src/**
- '!tfhe/src/c_api/**'
- 'tfhe/docs/**.md'
- README.md
- name: Aggregate file changes
id: aggregated-changes
if: ( steps.changed-files.outputs.dependencies_any_changed == 'true' ||
steps.changed-files.outputs.csprng_any_changed == 'true' ||
steps.changed-files.outputs.zk_pok_any_changed == 'true' ||
steps.changed-files.outputs.versionable_any_changed == 'true' ||
steps.changed-files.outputs.core_crypto_any_changed == 'true' ||
steps.changed-files.outputs.boolean_any_changed == 'true' ||
steps.changed-files.outputs.shortint_any_changed == 'true' ||
steps.changed-files.outputs.integer_any_changed == 'true' ||
steps.changed-files.outputs.wasm_any_changed == 'true' ||
steps.changed-files.outputs.high_level_api_any_changed == 'true' ||
steps.changed-files.outputs.user_docs_any_changed == 'true')
run: |
echo "any_changed=true" >> "$GITHUB_OUTPUT"
setup-instance:
name: Setup instance (fast-tests)
if: github.event_name != 'pull_request' ||
needs.should-run.outputs.any_file_changed == 'true'
needs: should-run
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -142,105 +37,75 @@ jobs:
fast-tests:
name: Fast CPU tests
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
needs: [ should-run, setup-instance ]
needs: setup-instance
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
- name: Install git-lfs
run: |
sudo apt update && sudo apt -y install git-lfs
- name: Run concrete-csprng tests
if: needs.should-run.outputs.csprng_test == 'true'
run: |
make test_concrete_csprng
- name: Run tfhe-zk-pok tests
if: needs.should-run.outputs.zk_pok_test == 'true'
run: |
make test_zk_pok
- name: Run tfhe-versionable tests
if: needs.should-run.outputs.versionable_test == 'true'
run: |
make test_versionable
- name: Run core tests
if: needs.should-run.outputs.core_crypto_test == 'true'
run: |
AVX512_SUPPORT=ON make test_core_crypto
- name: Run boolean tests
if: needs.should-run.outputs.boolean_test == 'true'
run: |
make test_boolean
- name: Run user docs tests
if: needs.should-run.outputs.user_docs_test == 'true'
run: |
make test_user_doc
- name: Get Node version
run: |
echo "NODE_VERSION=$(make node_version)" >> "${GITHUB_ENV}"
- name: Node cache restoration
id: node-cache
uses: actions/cache/restore@6849a6489940f00c2f30c0fb92c6274307ccb58a #v4.1.2
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Install Node
if: steps.node-cache.outputs.cache-hit != 'true'
run: |
make install_node
- name: Node cache save
uses: actions/cache/save@6849a6489940f00c2f30c0fb92c6274307ccb58a #v4.1.2
if: steps.node-cache.outputs.cache-hit != 'true'
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Run js on wasm API tests
if: needs.should-run.outputs.wasm_test == 'true'
run: |
make test_nodejs_wasm_api_ci
make test_nodejs_wasm_api_in_docker
- name: Gen Keys if required
if: needs.should-run.outputs.shortint_test == 'true' ||
needs.should-run.outputs.integer_test == 'true'
run: |
make gen_key_cache
- name: Run shortint tests
if: needs.should-run.outputs.shortint_test == 'true'
run: |
BIG_TESTS_INSTANCE=TRUE FAST_TESTS=TRUE make test_shortint_ci
- name: Run integer tests
if: needs.should-run.outputs.integer_test == 'true'
run: |
BIG_TESTS_INSTANCE=TRUE FAST_TESTS=TRUE make test_integer_ci
- name: Run shortint multi-bit tests
run: |
BIG_TESTS_INSTANCE=TRUE FAST_TESTS=TRUE make test_shortint_multi_bit_ci
- name: Run integer multi-bit tests
run: |
BIG_TESTS_INSTANCE=TRUE FAST_TESTS=TRUE make test_integer_multi_bit_ci
- name: Run high-level API tests
if: needs.should-run.outputs.high_level_api_test == 'true'
run: |
make test_high_level_api
@@ -248,10 +113,21 @@ jobs:
run: |
make test_safe_deserialization
- name: Clone test data
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/tfhe-backward-compat-data
path: tfhe/tfhe-backward-compat-data
lfs: 'true'
- name: Run backward compatibility tests
run: |
make test_backward_compatibility_ci
- name: Slack Notification
if: ${{ failure() }}
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Fast AWS tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -264,7 +140,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -275,7 +151,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (fast-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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@@ -17,16 +17,11 @@ on:
workflow_dispatch:
pull_request:
types: [ labeled ]
schedule:
# Nightly tests @ 1AM after each work day
- cron: "0 1 * * MON-FRI"
jobs:
cuda-tests-linux:
name: CUDA tests (RTX 4090)
if: github.event_name == 'workflow_dispatch' ||
contains(github.event.label.name, '4090_test') ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
if: ${{ github.event_name == 'workflow_dispatch' || contains(github.event.label.name, '4090_test') }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
@@ -34,13 +29,12 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -75,9 +69,9 @@ jobs:
github_token: ${{ secrets.GITHUB_TOKEN }}
- name: Slack Notification
if: ${{ failure() }}
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CUDA RTX 4090 tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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@@ -1,5 +1,5 @@
# Compile and test tfhe-cuda-backend on an AWS instance
name: TFHE Cuda Backend - Fast tests
name: TFHE Cuda Backend - Full tests
env:
CARGO_TERM_COLOR: always
@@ -11,7 +11,6 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
@@ -19,63 +18,26 @@ on:
pull_request:
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/gpu_fast_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
setup-instance:
name: Setup instance (cuda-tests)
needs: should-run
if: github.event_name != 'pull_request' ||
needs.should-run.outputs.gpu_test == 'true'
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
backend: aws
profile: gpu-test
cuda-tests-linux:
name: CUDA tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
cuda-pcc:
name: CUDA post-commit checks
needs: setup-instance
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
@@ -87,35 +49,22 @@ jobs:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -138,15 +87,77 @@ jobs:
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run core crypto and internal CUDA backend tests
- name: Run fmt checks
run: |
make test_core_crypto_gpu
make test_integer_compression_gpu
make test_cuda_backend
make check_fmt_gpu
- name: Run clippy checks
run: |
make pcc_gpu
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CUDA AWS post-commit checks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
cuda-tests-linux:
name: CUDA tests
needs: [ setup-instance, cuda-pcc ]
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Run core crypto, integer and internal CUDA backend tests
run: |
make test_gpu
- name: Run user docs tests
run: |
@@ -160,28 +171,23 @@ jobs:
run: |
make test_high_level_api_gpu
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-tests-linux.result }}
SLACK_MESSAGE: "Base GPU tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CUDA AWS tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests-linux ]
needs: [ setup-instance, cuda-pcc, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -192,7 +198,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -13,66 +13,24 @@ env:
# We clear the cache to reduce memory pressure because of the numerous processes of cargo
# nextest
TFHE_RS_CLEAR_IN_MEMORY_KEY_CACHE: "1"
NO_BIG_PARAMS: FALSE
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [labeled]
push:
branches:
- main
types: [ labeled ]
jobs:
should-run:
if:
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'pull_request' && contains(github.event.label.name, 'approved')) ||
github.event_name == 'workflow_dispatch'
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
integer_test: ${{ github.event_name == 'workflow_dispatch' ||
steps.changed-files.outputs.integer_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
persist-credentials: "false"
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
integer:
- tfhe/Cargo.toml
- concrete-csprng/**
- tfhe-zk-pok/**
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
- tfhe/src/integer/**
setup-instance:
name: Setup instance (unsigned-integer-tests)
needs: should-run
if:
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs' && needs.should-run.outputs.integer_test == 'true') ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'pull_request' && contains(github.event.label.name, 'approved')) ||
github.event_name == 'workflow_dispatch'
if: ${{ github.event_name == 'workflow_dispatch' || contains(github.event.label.name, 'approved') }}
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -85,26 +43,24 @@ jobs:
name: Unsigned integer tests
needs: setup-instance
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}${{ github.ref == 'refs/heads/main' && github.sha || '' }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: "false"
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
persist-credentials: 'false'
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
- name: Should skip big parameters set
if: github.event_name == 'pull_request'
run: |
echo "NO_BIG_PARAMS=TRUE" >> "${GITHUB_ENV}"
- name: Gen Keys if required
run: |
make GEN_KEY_CACHE_MULTI_BIT_ONLY=TRUE gen_key_cache
@@ -119,12 +75,12 @@ jobs:
- name: Run unsigned integer tests
run: |
AVX512_SUPPORT=ON NO_BIG_PARAMS=${{ env.NO_BIG_PARAMS }} BIG_TESTS_INSTANCE=TRUE make test_unsigned_integer_ci
AVX512_SUPPORT=ON BIG_TESTS_INSTANCE=TRUE make test_unsigned_integer_ci
- name: Slack Notification
if: ${{ failure() }}
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Unsigned Integer tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -132,12 +88,12 @@ jobs:
teardown-instance:
name: Teardown instance (unsigned-integer-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [setup-instance, unsigned-integer-tests]
needs: [ setup-instance, unsigned-integer-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -148,7 +104,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (unsigned-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,5 +1,5 @@
# Perfom tfhe-cuda-backend post-commit checks on an AWS instance
name: TFHE Cuda Backend - Post-commit Checks
# Compile and test tfhe-cuda-backend on an AWS instance
name: TFHE Cuda Backend - Full tests multi-GPU
env:
CARGO_TERM_COLOR: always
@@ -13,32 +13,34 @@ env:
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
jobs:
setup-instance:
name: Setup instance (cuda-pcc)
name: Setup instance (cuda-tests-multi-gpu)
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: gpu-build
profile: multi-gpu-test
cuda-pcc:
name: CUDA post-commit checks
needs: setup-instance
cuda-tests-linux:
name: CUDA multi-GPU tests
needs: [ setup-instance ]
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
@@ -53,17 +55,14 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -86,31 +85,39 @@ jobs:
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Run fmt checks
- name: Run core crypto, integer and internal CUDA backend tests
run: |
make check_fmt_gpu
make test_gpu
- name: Run clippy checks
- name: Run user docs tests
run: |
make pcc_gpu
make test_user_doc_gpu
- name: Test C API
run: |
make test_c_api_gpu
- name: Run High Level API Tests
run: |
make test_high_level_api_gpu
- name: Slack Notification
if: ${{ failure() }}
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CUDA AWS post-commit checks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "CUDA AWS multi-GPU tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-pcc)
name: Teardown instance (cuda-tests-multi-gpu)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-pcc ]
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -121,7 +128,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-pcc) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "Instance teardown (cuda-tests-multi-gpu) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -13,66 +13,24 @@ env:
# We clear the cache to reduce memory pressure because of the numerous processes of cargo
# nextest
TFHE_RS_CLEAR_IN_MEMORY_KEY_CACHE: "1"
NO_BIG_PARAMS: FALSE
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [labeled]
push:
branches:
- main
types: [ labeled ]
jobs:
should-run:
if:
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'pull_request' && contains(github.event.label.name, 'approved')) ||
github.event_name == 'workflow_dispatch'
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
integer_test: ${{ github.event_name == 'workflow_dispatch' ||
steps.changed-files.outputs.integer_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
persist-credentials: "false"
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
integer:
- tfhe/Cargo.toml
- concrete-csprng/**
- tfhe-zk-pok/**
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
- tfhe/src/integer/**
setup-instance:
name: Setup instance (unsigned-integer-tests)
needs: should-run
if:
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs' && needs.should-run.outputs.integer_test == 'true') ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'pull_request' && contains(github.event.label.name, 'approved')) ||
github.event_name == 'workflow_dispatch'
name: Setup instance (signed-integer-tests)
if: ${{ github.event_name == 'workflow_dispatch' || contains(github.event.label.name, 'approved') }}
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -85,26 +43,24 @@ jobs:
name: Signed integer tests
needs: setup-instance
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}${{ github.ref == 'refs/heads/main' && github.sha || '' }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: "false"
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
persist-credentials: 'false'
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
- name: Should skip big parameters set
if: github.event_name == 'pull_request'
run: |
echo "NO_BIG_PARAMS=TRUE" >> "${GITHUB_ENV}"
- name: Gen Keys if required
run: |
make GEN_KEY_CACHE_MULTI_BIT_ONLY=TRUE gen_key_cache
@@ -123,12 +79,12 @@ jobs:
- name: Run signed integer tests
run: |
AVX512_SUPPORT=ON NO_BIG_PARAMS=${{ env.NO_BIG_PARAMS }} BIG_TESTS_INSTANCE=TRUE make test_signed_integer_ci
AVX512_SUPPORT=ON BIG_TESTS_INSTANCE=TRUE make test_signed_integer_ci
- name: Slack Notification
if: ${{ failure() }}
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Signed Integer tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -136,12 +92,12 @@ jobs:
teardown-instance:
name: Teardown instance (signed-integer-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [setup-instance, signed-integer-tests]
needs: [ setup-instance, signed-integer-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -152,7 +108,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (signed-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -57,13 +57,13 @@ jobs:
any_file_changed: ${{ env.IS_PULL_REQUEST == 'false' || steps.aggregated-changes.outputs.any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
uses: tj-actions/changed-files@eaf854ef0c266753e1abec356dcf17d92695b251
with:
since_last_remote_commit: true
files_yaml: |
@@ -86,8 +86,6 @@ jobs:
high_level_api:
- tfhe/src/**
- '!tfhe/src/c_api/**'
- '!tfhe/src/boolean/**'
- '!tfhe/src/js_on_wasm_api/**'
c_api:
- tfhe/src/**
examples:
@@ -123,7 +121,7 @@ jobs:
setup-instance:
name: Setup instance (cpu-tests)
if: github.event_name != 'pull_request' ||
(github.event.action == 'labeled' && github.event.label.name == 'approved' && needs.should-run.outputs.any_file_changed == 'true')
(github.event_name == 'pull_request' && needs.should-run.outputs.any_file_changed == 'true')
needs: should-run
runs-on: ubuntu-latest
outputs:
@@ -131,7 +129,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -151,13 +149,16 @@ jobs:
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -219,9 +220,9 @@ jobs:
make test_kreyvium
- name: Slack Notification
if: ${{ failure() }}
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CPU tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -234,7 +235,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -245,7 +246,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cpu-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -27,7 +27,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -45,64 +45,39 @@ jobs:
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
- name: Get Node version
run: |
echo "NODE_VERSION=$(make node_version)" >> "${GITHUB_ENV}"
- name: Node cache restoration
id: node-cache
uses: actions/cache/restore@6849a6489940f00c2f30c0fb92c6274307ccb58a #v4.1.2
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Install Node
if: steps.node-cache.outputs.cache-hit != 'true'
run: |
make install_node
- name: Node cache save
uses: actions/cache/save@6849a6489940f00c2f30c0fb92c6274307ccb58a #v4.1.2
if: steps.node-cache.outputs.cache-hit != 'true'
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Install web resources
run: |
make install_chrome_browser
make install_chrome_web_driver
- name: Run fmt checks
run: |
make check_fmt_js
- name: Run js on wasm API tests
run: |
make test_nodejs_wasm_api_ci
make test_nodejs_wasm_api_in_docker
- name: Run parallel wasm tests
run: |
make test_web_js_api_parallel_chrome_ci
make test_web_js_api_parallel_ci
- name: Slack Notification
if: ${{ failure() }}
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "WASM tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -115,7 +90,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -126,7 +101,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (wasm-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,150 +0,0 @@
# Run boolean benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Boolean benchmarks
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (boolean-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
boolean-benchmarks:
name: Execute boolean benchmarks in EC2
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
continue-on-error: true
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make bench_boolean
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Measure key sizes
run: |
make measure_boolean_key_sizes
- name: Parse key sizes results
run: |
python3 ./ci/benchmark_parser.py tfhe/boolean_key_sizes.csv ${{ env.RESULTS_FILENAME }} \
--object-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_boolean
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Boolean benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (boolean-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, boolean-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (boolean-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,138 +0,0 @@
# Run core crypto benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Core crypto benchmarks
on:
workflow_dispatch:
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (core-crypto-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
core-crypto-benchmarks:
name: Execute core crypto benchmarks in EC2
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make bench_pbs
make bench_pbs128
make bench_ks
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--name-suffix avx512 \
--walk-subdirs \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "PBS benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (core-crypto-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, core-crypto-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (core-crypto-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,146 +0,0 @@
# Run all ERC20 benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: ERC20 benchmarks
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 5a.m.
- cron: '0 5 * * 6'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (erc20-benchmarks)
runs-on: ubuntu-latest
if: github.event_name == 'workflow_dispatch' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
erc20-benchmarks:
name: Execute ERC20 benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
continue-on-error: true
timeout-minutes: 720 # 12 hours
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Run benchmarks
run: |
make bench_hlapi_erc20
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512
- name: Parse PBS counts
run: |
python3 ./ci/benchmark_parser.py tfhe/erc20_pbs_count.csv ${{ env.RESULTS_FILENAME }} \
--object-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_erc20
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "ERC20 benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (erc20-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, erc20-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (erc20-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,195 +0,0 @@
# Run ERC20 benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: ERC20 GPU H100 benchmarks
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 5a.m.
- cron: '0 5 * * 6'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (cuda-erc20-benchmarks)
runs-on: ubuntu-latest
if: github.event_name == 'workflow_dispatch' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-erc20-benchmarks:
name: Execute GPU integer benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks
run: |
make bench_hlapi_erc20_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x1" \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512
- name: Parse PBS counts
run: |
python3 ./ci/benchmark_parser.py tfhe/erc20_pbs_count.csv ${{ env.RESULTS_FILENAME }} \
--object-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_erc20
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-erc20-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-erc20-benchmarks.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-erc20-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU benchmarks finished with status: ${{ needs.cuda-erc20-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-erc20-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-erc20-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-erc20-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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@@ -1,194 +0,0 @@
# Run integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Integer 2xH100 benchmarks
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (cuda-integer-full-2-gpu-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: 2-h100
cuda-integer-full-2-gpu-benchmarks:
name: Execute 2xH100 integer benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer_multi_bit]
op_flavor: [default]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x2" \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-full-2-gpu-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-full-2-gpu-benchmarks.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-integer-full-2-gpu-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU 2xH100 benchmarks finished with status: ${{ needs.cuda-integer-full-2-gpu-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-integer-full-2-gpu-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-integer-full-2-gpu-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-full-2-gpu-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,206 +0,0 @@
# Run benchmarks on an L40 VM and return parsed results to Slab CI bot.
name: Cuda benchmarks (L40)
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (cuda-l40-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: l40
cuda-l40-benchmarks:
name: Cuda benchmarks (L40)
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer_multi_bit]
op_flavor: [default]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
- name: Run compression benchmarks with AVX512
run: |
make bench_integer_compression_gpu
- name: Run PBS benchmarks
run: |
make bench_pbs_gpu
- name: Run KS benchmarks
run: |
make bench_ks_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-L40x1" \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-l40-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-l40-benchmarks.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-l40-benchmarks.result }}
SLACK_MESSAGE: "Cuda benchmarks (L40) finished with status: ${{ needs.cuda-l40-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-l40-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-l40-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-l40-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,190 +0,0 @@
# Run all integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Integer benchmarks
on:
workflow_dispatch:
inputs:
all_precisions:
description: "Run all precisions"
type: boolean
default: false
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
# Quarterly benchmarks will be triggered right before end of quarter, the 25th of the current month at 4a.m.
# These benchmarks are far longer to execute hence the reason to run them only four time a year.
- cron: '0 4 25 MAR,JUN,SEP,DEC *'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_BENCH: TRUE
jobs:
prepare-matrix:
name: Prepare operations matrix
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
steps:
- name: Weekly benchmarks
if: github.event_name == 'workflow_dispatch' ||
github.event.schedule == '0 1 * * 6'
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
- name: Quarterly benchmarks
if: github.event.schedule == '0 4 25 MAR,JUN,SEP,DEC *'
run: |
echo "OP_FLAVOR=[\"default\", \"smart\", \"unchecked\", \"misc\"]" >> "${GITHUB_ENV}"
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
setup-instance:
name: Setup instance (integer-benchmarks)
needs: prepare-matrix
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
integer-benchmarks:
name: Execute integer benchmarks for all operations flavor
needs: [ prepare-matrix, setup-instance ]
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
continue-on-error: true
timeout-minutes: 1440 # 24 hours
strategy:
max-parallel: 1
matrix:
command: [ integer, integer_multi_bit]
op_flavor: ${{ fromJson(needs.prepare-matrix.outputs.op_flavor) }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${GITHUB_ENV}"
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}
# Run these benchmarks only once
- name: Run compression benchmarks with AVX512
if: matrix.op_flavor == 'default' && matrix.command == 'integer'
run: |
make bench_integer_compression
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Integer full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (integer-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, integer-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (integer-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,186 +0,0 @@
# Run all shortint benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Shortint full benchmarks
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
# Quarterly benchmarks will be triggered right before end of quarter, the 25th of the current month at 4a.m.
# These benchmarks are far longer to execute hence the reason to run them only four time a year.
- cron: '0 4 25 MAR,JUN,SEP,DEC *'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
prepare-matrix:
name: Prepare operations matrix
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
steps:
- name: Weekly benchmarks
if: github.event_name == 'workflow_dispatch' ||
github.event.schedule == '0 1 * * 6'
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
- name: Quarterly benchmarks
if: github.event.schedule == '0 4 25 MAR,JUN,SEP,DEC *'
run: |
echo "OP_FLAVOR=[\"default\", \"smart\", \"unchecked\"]" >> "${GITHUB_ENV}"
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
setup-instance:
name: Setup instance (shortint-benchmarks)
needs: prepare-matrix
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
shortint-benchmarks:
name: Execute shortint benchmarks for all operations flavor
needs: [ prepare-matrix, setup-instance ]
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
continue-on-error: true
strategy:
max-parallel: 1
matrix:
op_flavor: ${{ fromJson(needs.prepare-matrix.outputs.op_flavor) }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_shortint
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
# This small benchmark needs to be executed only once.
- name: Measure key sizes
if: matrix.op_flavor == 'default'
run: |
make measure_shortint_key_sizes
- name: Parse key sizes results
if: matrix.op_flavor == 'default'
run: |
python3 ./ci/benchmark_parser.py tfhe/shortint_key_sizes.csv ${{ env.RESULTS_FILENAME }} \
--object-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_shortint_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Shortint full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (shortint-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, shortint-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (shortint-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,184 +0,0 @@
# Run all signed integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Signed Integer full benchmarks
on:
workflow_dispatch:
inputs:
all_precisions:
description: "Run all precisions"
type: boolean
default: false
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
# Quarterly benchmarks will be triggered right before end of quarter, the 25th of the current month at 4a.m.
# These benchmarks are far longer to execute hence the reason to run them only four time a year.
- cron: '0 4 25 MAR,JUN,SEP,DEC *'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_BENCH: TRUE
jobs:
prepare-matrix:
name: Prepare operations matrix
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
steps:
- name: Weekly benchmarks
if: github.event_name == 'workflow_dispatch' ||
github.event.schedule == '0 1 * * 6'
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
- name: Quarterly benchmarks
if: github.event.schedule == '0 4 25 MAR,JUN,SEP,DEC *'
run: |
echo "OP_FLAVOR=[\"default\", \"unchecked\"]" >> "${GITHUB_ENV}"
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
setup-instance:
name: Setup instance (signed-integer-benchmarks)
needs: prepare-matrix
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
signed-integer-benchmarks:
name: Execute signed integer benchmarks for all operations flavor
needs: [ prepare-matrix, setup-instance ]
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
continue-on-error: true
timeout-minutes: 1440 # 24 hours
strategy:
max-parallel: 1
matrix:
command: [ integer, integer_multi_bit ]
op_flavor: [ default, unchecked ]
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${GITHUB_ENV}"
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_signed_${{ matrix.command }}
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Signed integer full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (integer-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, signed-integer-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (signed-integer-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

136
.github/workflows/boolean_benchmark.yml vendored Normal file
View File

@@ -0,0 +1,136 @@
# Run boolean benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Boolean benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
# This input is not used in this workflow but still mandatory since a calling workflow could
# use it. If a triggering command include a user_inputs field, then the triggered workflow
# must include this very input, otherwise the workflow won't be called.
# See start_full_benchmarks.yml as example.
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-boolean-benchmarks:
name: Execute boolean benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make bench_boolean
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Measure key sizes
run: |
make measure_boolean_key_sizes
- name: Parse key sizes results
run: |
python3 ./ci/benchmark_parser.py tfhe/boolean_key_sizes.csv ${{ env.RESULTS_FILENAME }} \
--key-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_boolean
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Boolean benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -19,21 +19,14 @@ jobs:
strategy:
matrix:
# GitHub macos-latest are now M1 macs, so use ours, we limit what runs so it will be fast
# even with a few PRs
os: [large_ubuntu_16, macos-latest, windows-latest]
os: [ubuntu-latest, macos-latest-large, large_windows_16_latest]
fail-fast: false
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Install and run newline linter checks
if: ${{ contains(matrix.os, 'ubuntu') }}
if: matrix.os == 'ubuntu-latest'
run: |
wget https://github.com/fernandrone/linelint/releases/download/0.0.6/linelint-linux-amd64
echo "16b70fb7b471d6f95cbdc0b4e5dc2b0ac9e84ba9ecdc488f7bdf13df823aca4b linelint-linux-amd64" > checksum
@@ -43,33 +36,27 @@ jobs:
make check_newline
- name: Run pcc checks
if: ${{ contains(matrix.os, 'ubuntu') }}
run: |
make pcc
- name: Build concrete-csprng
if: ${{ contains(matrix.os, 'ubuntu') }}
run: |
make build_concrete_csprng
- name: Build Release core
if: ${{ contains(matrix.os, 'ubuntu') }}
run: |
make build_core AVX512_SUPPORT=ON
make build_core_experimental AVX512_SUPPORT=ON
- name: Build Release boolean
if: ${{ contains(matrix.os, 'ubuntu') }}
run: |
make build_boolean
- name: Build Release shortint
if: ${{ contains(matrix.os, 'ubuntu') }}
run: |
make build_shortint
- name: Build Release integer
if: ${{ contains(matrix.os, 'ubuntu') }}
run: |
make build_integer
@@ -78,12 +65,10 @@ jobs:
make build_tfhe_full
- name: Build Release c_api
if: ${{ contains(matrix.os, 'ubuntu') }}
run: |
make build_c_api
- name: Build coverage tests
if: ${{ contains(matrix.os, 'ubuntu') }}
run: |
make build_tfhe_coverage

View File

@@ -10,7 +10,7 @@ jobs:
- name: Check first line
uses: gsactions/commit-message-checker@16fa2d5de096ae0d35626443bcd24f1e756cafee
with:
pattern: '^((feat|fix|chore|refactor|style|test|docs|doc)(\([\w\-_]+\))?\!?\:) .+$'
pattern: '^((feat|fix|chore|refactor|style|test|docs|doc)(\([\w\-_]+\))?\:) .+$'
flags: "gs"
error: 'Your first line has to contain a commit type and scope like "feat(my_feature): msg".'
excludeDescription: "true" # optional: this excludes the description body of a pull request
@@ -28,6 +28,3 @@ jobs:
excludeTitle: "true" # optional: this excludes the title of a pull request
checkAllCommitMessages: "true" # optional: this checks all commits associated with a pull request
accessToken: ${{ secrets.GITHUB_TOKEN }} # github access token is only required if checkAllCommitMessages is true
- name: Check commit signatures
uses: 1Password/check-signed-commits-action@ed2885f3ed2577a4f5d3c3fe895432a557d23d52

View File

@@ -13,7 +13,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Get actionlint
run: |
@@ -25,9 +25,3 @@ jobs:
- name: Lint workflows
run: |
make lint_workflow
- name: Ensure SHA pinned actions
uses: zgosalvez/github-actions-ensure-sha-pinned-actions@ed00f72a3ca5b6eff8ad4d3ffdcacedb67a21db1 # v3.0.15
with:
allowlist: |
slsa-framework/slsa-github-generator

View File

@@ -25,7 +25,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -44,16 +44,20 @@ jobs:
timeout-minutes: 5760 # 4 days
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
uses: tj-actions/changed-files@eaf854ef0c266753e1abec356dcf17d92695b251
with:
files_yaml: |
tfhe:
@@ -83,7 +87,7 @@ jobs:
make test_shortint_cov
- name: Upload tfhe coverage to Codecov
uses: codecov/codecov-action@b9fd7d16f6d7d1b5d2bec1a2887e65ceed900238
uses: codecov/codecov-action@e28ff129e5465c2c0dcc6f003fc735cb6ae0c673
if: steps.changed-files.outputs.tfhe_any_changed == 'true'
with:
token: ${{ secrets.CODECOV_TOKEN }}
@@ -97,7 +101,7 @@ jobs:
make test_integer_cov
- name: Upload tfhe coverage to Codecov
uses: codecov/codecov-action@b9fd7d16f6d7d1b5d2bec1a2887e65ceed900238
uses: codecov/codecov-action@e28ff129e5465c2c0dcc6f003fc735cb6ae0c673
if: steps.changed-files.outputs.tfhe_any_changed == 'true'
with:
token: ${{ secrets.CODECOV_TOKEN }}
@@ -108,7 +112,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Code coverage finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -121,7 +125,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -132,7 +136,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (code-coverage) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -0,0 +1,128 @@
# Run core crypto benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Core crypto benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
# This input is not used in this workflow but still mandatory since a calling workflow could
# use it. If a triggering command include a user_inputs field, then the triggered workflow
# must include this very input, otherwise the workflow won't be called.
# See start_full_benchmarks.yml as example.
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-core-crypto-benchmarks:
name: Execute core crypto benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make bench_pbs
make bench_pbs128
make bench_ks
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--name-suffix avx512 \
--walk-subdirs \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on downloaded artifact"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "PBS benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -27,7 +27,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -50,13 +50,13 @@ jobs:
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
CMAKE_VERSION: 3.29.1
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
@@ -64,12 +64,10 @@ jobs:
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -85,7 +83,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
@@ -130,13 +128,13 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
@@ -145,8 +143,16 @@ jobs:
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
echo "Computing HMac on downloaded artifact"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
@@ -156,7 +162,7 @@ jobs:
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-core-crypto-benchmarks.result }}
SLACK_MESSAGE: "PBS GPU benchmarks finished with status: ${{ needs.cuda-core-crypto-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -169,7 +175,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -180,7 +186,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-core-crypto-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -27,7 +27,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -45,13 +45,16 @@ jobs:
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -62,7 +65,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "concrete-csprng randomness check finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -75,7 +78,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -86,7 +89,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (csprng-randomness-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,123 +0,0 @@
name: Close or Merge corresponding PR on the data repo
# When a PR with the data_PR tag is closed or merged, this will close the corresponding PR in the data repo.
env:
TARGET_REPO_API_URL: ${{ github.api_url }}/repos/zama-ai/tfhe-backward-compat-data
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
PR_BRANCH: ${{ github.head_ref || github.ref_name }}
CLOSE_TYPE: ${{ github.event.pull_request.merged && 'merge' || 'close' }}
# only trigger on pull request closed events
on:
pull_request:
types: [ closed ]
# The same pattern is used for jobs that use the github api:
# - save the result of the API call in the env var "GH_API_RES". Since the var is multiline
# we use this trick: https://docs.github.com/en/actions/using-workflows/workflow-commands-for-github-actions#example-of-a-multiline-string
# - "set +e" will make sure we reach the last "echo EOF" even in case of error
# - "set -o" pipefail makes one line piped command return the error of the first failure
# - 'RES="$?"' and 'exit $RES' are used to return the error code if a command failed. Without it, with "set +e"
# the script will always return 0 because of the "echo EOF".
jobs:
auto_close_job:
if: ${{ contains(github.event.pull_request.labels.*.name, 'data_PR') }}
runs-on: ubuntu-latest
steps:
- name: Find corresponding Pull Request in the data repo
run: |
{
set +e
set -o pipefail
echo 'TARGET_REPO_PR<<EOF'
curl --fail-with-body --no-progress-meter -L -X GET \
-H "Accept: application/vnd.github+json" \
-H "X-GitHub-Api-Version: 2022-11-28" \
${{ env.TARGET_REPO_API_URL }}/pulls\?head=${{ github.repository_owner }}:${{ env.PR_BRANCH }} | jq -e '.[0]' | sed 's/null/{ "message": "corresponding PR not found" }/'
RES="$?"
echo EOF
} >> "${GITHUB_ENV}"
exit $RES
- name: Comment on the PR to indicate the reason of the close
run: |
{
set +e
set -o pipefail
echo 'GH_API_RES<<EOF'
curl --fail-with-body --no-progress-meter -L -X POST \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer ${{ secrets.FHE_ACTIONS_TOKEN }}" \
-H "X-GitHub-Api-Version: 2022-11-28" \
${{ fromJson(env.TARGET_REPO_PR).comments_url }} \
-d '{ "body": "PR ${{ env.CLOSE_TYPE }}d because the corresponding PR in main repo was ${{ env.CLOSE_TYPE }}d: ${{ github.repository }}#${{ github.event.number }}" }'
RES="$?"
echo EOF
} >> "${GITHUB_ENV}"
exit $RES
- name: Merge the Pull Request in the data repo
if: ${{ github.event.pull_request.merged }}
run: |
{
set +e
set -o pipefail
echo 'GH_API_RES<<EOF'
curl --fail-with-body --no-progress-meter -L -X PUT \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer ${{ secrets.FHE_ACTIONS_TOKEN }}" \
-H "X-GitHub-Api-Version: 2022-11-28" \
${{ fromJson(env.TARGET_REPO_PR).url }}/merge \
-d '{ "merge_method": "rebase" }'
RES="$?"
echo EOF
} >> "${GITHUB_ENV}"
exit $RES
- name: Close the Pull Request in the data repo
if: ${{ !github.event.pull_request.merged }}
run: |
{
set +e
set -o pipefail
echo 'GH_API_RES<<EOF'
curl --fail-with-body --no-progress-meter -L -X PATCH \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer ${{ secrets.FHE_ACTIONS_TOKEN }}" \
-H "X-GitHub-Api-Version: 2022-11-28" \
${{ fromJson(env.TARGET_REPO_PR).url }} \
-d '{ "state": "closed" }'
RES="$?"
echo EOF
} >> "${GITHUB_ENV}"
exit $RES
- name: Delete the associated branch in the data repo
run: |
{
set +e
set -o pipefail
echo 'GH_API_RES<<EOF'
curl --fail-with-body --no-progress-meter -L -X DELETE \
-H "Accept: application/vnd.github+json" \
-H "Authorization: Bearer ${{ secrets.FHE_ACTIONS_TOKEN }}" \
-H "X-GitHub-Api-Version: 2022-11-28" \
${{ env.TARGET_REPO_API_URL }}/git/refs/heads/${{ env.PR_BRANCH }}
RES="$?"
echo EOF
} >> "${GITHUB_ENV}"
exit $RES
- name: Slack Notification
if: ${{ always() && job.status == 'failure' }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Failed to auto-${{ env.CLOSE_TYPE }} PR on data repo: ${{ fromJson(env.GH_API_RES || env.TARGET_REPO_PR).message }}"

View File

@@ -1,5 +1,5 @@
# Run benchmarks on an RTX 4090 machine and return parsed results to Slab CI bot.
name: TFHE Cuda Backend - 4090 benchmarks
# Run all benchmarks on an RTX 4090 machine and return parsed results to Slab CI bot.
name: TFHE Cuda Backend - 4090 full benchmarks
env:
CARGO_TERM_COLOR: always
@@ -11,7 +11,6 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_BENCH: TRUE
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
@@ -24,10 +23,8 @@ on:
jobs:
cuda-integer-benchmarks:
name: Cuda integer benchmarks (RTX 4090)
if: ${{ github.event_name == 'workflow_dispatch' ||
github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs' ||
contains(github.event.label.name, '4090_bench') }}
name: Cuda integer benchmarks for all operations flavor (RTX 4090)
if: ${{ github.event_name == 'workflow_dispatch' || github.event_name == 'schedule' || contains(github.event.label.name, '4090_bench') }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}_cuda_integer_bench
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
@@ -36,13 +33,15 @@ jobs:
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer, integer_multi_bit]
op_flavor: [default, unchecked]
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -51,15 +50,14 @@ jobs:
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
echo "FAST_BENCH=TRUE" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
@@ -67,7 +65,7 @@ jobs:
- name: Run integer benchmarks
run: |
make BENCH_OP_FLAVOR=default bench_integer_multi_bit_gpu
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
- name: Parse results
run: |
@@ -83,21 +81,29 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_integer_multi_bit_gpu_default
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Integer RTX 4090 full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -114,7 +120,7 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
@@ -127,18 +133,18 @@ jobs:
} >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Run core crypto benchmarks
- name: Run integer benchmarks
run: |
make bench_pbs_gpu
make bench_ks_gpu
@@ -157,7 +163,7 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
@@ -177,9 +183,9 @@ jobs:
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Core crypto RTX 4090 full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,200 +0,0 @@
# Compile and test tfhe-cuda-backend on an H100 VM on hyperstack
name: TFHE Cuda Backend - Fast tests on H100
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/gpu_fast_h100_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
setup-instance:
name: Setup instance (cuda-h100-tests)
needs: should-run
if: github.event_name != 'pull_request' ||
(github.event.action != 'labeled' && needs.should-run.outputs.gpu_test == 'true') ||
(github.event.action == 'labeled' && github.event.label.name == 'approved' && needs.should-run.outputs.gpu_test == 'true')
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-tests-linux:
name: CUDA H100 tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run core crypto and internal CUDA backend tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_core_crypto_gpu
BIG_TESTS_INSTANCE=TRUE make test_integer_compression_gpu
BIG_TESTS_INSTANCE=TRUE make test_cuda_backend
- name: Run user docs tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_user_doc_gpu
- name: Test C API
run: |
BIG_TESTS_INSTANCE=TRUE make test_c_api_gpu
- name: Run High Level API Tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_high_level_api_gpu
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-tests-linux.result }}
SLACK_MESSAGE: "Fast H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-h100-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-h100-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,203 +0,0 @@
# Compile and test tfhe-cuda-backend on an AWS instance
name: TFHE Cuda Backend - Full tests multi-GPU
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/**_multi_gpu_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
setup-instance:
name: Setup instance (cuda-tests-multi-gpu)
needs: should-run
if: github.event_name != 'pull_request' ||
(github.event.action != 'labeled' && needs.should-run.outputs.gpu_test == 'true') ||
(github.event.action == 'labeled' && github.event.label.name == 'approved' && needs.should-run.outputs.gpu_test == 'true')
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: multi-gpu-test
cuda-tests-linux:
name: CUDA multi-GPU tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run multi-bit CUDA integer compression tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_integer_compression_gpu
# No need to test core_crypto and classic PBS in integer since it's already tested on single GPU.
- name: Run multi-bit CUDA integer tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_integer_multi_bit_gpu_ci
- name: Run user docs tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_user_doc_gpu
- name: Test C API
run: |
BIG_TESTS_INSTANCE=TRUE make test_c_api_gpu
- name: Run High Level API Tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_high_level_api_gpu
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-tests-linux.result }}
SLACK_MESSAGE: "Multi-GPU tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-tests-multi-gpu)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-tests-multi-gpu) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,189 +0,0 @@
# Signed integer GPU tests on an H100 VM on hyperstack
name: TFHE Cuda Backend - Signed integer tests on H100
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/gpu_signed_integer_h100_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
setup-instance:
name: Setup instance (cuda-h100-tests)
needs: should-run
if: github.event_name != 'pull_request' ||
(github.event.action != 'labeled' && needs.should-run.outputs.gpu_test == 'true') ||
(github.event.action == 'labeled' && github.event.label.name == 'approved' && needs.should-run.outputs.gpu_test == 'true')
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-tests-linux:
name: CUDA H100 signed integer tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run signed integer tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_signed_integer_gpu_ci
- name: Run signed integer multi-bit tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_signed_integer_multi_bit_gpu_ci
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-tests-linux.result }}
SLACK_MESSAGE: "Integer GPU H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-h100-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-h100-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,202 +0,0 @@
# Compile and test tfhe-cuda-backend signed integer on an AWS instance
name: TFHE Cuda Backend - Signed integer tests
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_TESTS: TRUE
NIGHTLY_TESTS: FALSE
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types:
- opened
- synchronize
schedule:
# Nightly tests @ 1AM after each work day
- cron: "0 1 * * MON-FRI"
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/gpu_signed_integer_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
setup-instance:
name: Setup instance (cuda-signed-integer-tests)
runs-on: ubuntu-latest
needs: should-run
if: (github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
github.event_name == 'workflow_dispatch' ||
needs.should-run.outputs.gpu_test == 'true'
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: gpu-test
cuda-signed-integer-tests:
name: CUDA signed integer tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Should run nightly tests
if: github.event_name == 'schedule'
run: |
{
echo "FAST_TESTS=FALSE";
echo "NIGHTLY_TESTS=TRUE";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run signed integer multi-bit tests
run: |
make test_signed_integer_multi_bit_gpu_ci
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-signed-integer-tests ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-signed-integer-tests.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-signed-integer-tests.result }}
SLACK_MESSAGE: "Base GPU tests finished with status: ${{ needs.cuda-signed-integer-tests.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-signed-integer-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-signed-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,189 +0,0 @@
# Test unsigned integers on an H100 VM on hyperstack
name: TFHE Cuda Backend - Unsigned integer tests on H100
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/gpu_unsigned_integer_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
setup-instance:
name: Setup instance (cuda-h100-tests)
needs: should-run
if: github.event_name != 'pull_request' ||
(github.event.action != 'labeled' && needs.should-run.outputs.gpu_test == 'true') ||
(github.event.action == 'labeled' && github.event.label.name == 'approved' && needs.should-run.outputs.gpu_test == 'true')
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-tests-linux:
name: CUDA H100 unsigned integer tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run unsigned integer tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_unsigned_integer_gpu_ci
- name: Run unsigned integer multi-bit tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_unsigned_integer_multi_bit_gpu_ci
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-tests-linux.result }}
SLACK_MESSAGE: "Unsigned integer GPU H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-h100-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-h100-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,199 +0,0 @@
# Compile and test tfhe-cuda-backend unsigned integer on an AWS instance
name: TFHE Cuda Backend - Unsigned integer tests
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_TESTS: TRUE
NIGHTLY_TESTS: FALSE
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types:
- opened
- synchronize
schedule:
# Nightly tests @ 1AM after each work day
- cron: "0 1 * * MON-FRI"
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/gpu_unsigned_integer_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
setup-instance:
name: Setup instance (cuda-unsigned-integer-tests)
needs: should-run
if: (github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
github.event_name == 'workflow_dispatch' ||
needs.should-run.outputs.gpu_test == 'true'
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: gpu-test
cuda-unsigned-integer-tests:
name: CUDA unsigned integer tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Should run nightly tests
if: github.event_name == 'schedule'
run: |
{
echo "FAST_TESTS=FALSE";
echo "NIGHTLY_TESTS=TRUE";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run unsigned integer multi-bit tests
run: |
make test_unsigned_integer_multi_bit_gpu_ci
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-unsigned-integer-tests ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-unsigned-integer-tests.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-unsigned-integer-tests.result }}
SLACK_MESSAGE: "Unsigned integer GPU tests finished with status: ${{ needs.cuda-unsigned-integer-tests.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-unsigned-integer-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-unsigned-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -11,10 +11,11 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
jobs:
setup-instance:
@@ -25,7 +26,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -51,13 +52,22 @@ jobs:
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
CMAKE_VERSION: 3.29.1
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
sudo apt install ca-certificates curl
sudo install -m 0755 -d /etc/apt/keyrings
sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
sudo chmod a+r /etc/apt/keyrings/docker.asc
echo \
"deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
$(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
@@ -66,17 +76,14 @@ jobs:
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -99,7 +106,7 @@ jobs:
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
- name:
if: ${{ !cancelled() }}
run: nvidia-smi
@@ -122,24 +129,25 @@ jobs:
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ failure() }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-tests-linux.result }}
SLACK_MESSAGE: "Full H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "Integer GPU H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-h100-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -150,7 +158,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-h100-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

130
.github/workflows/integer_benchmark.yml vendored Normal file
View File

@@ -0,0 +1,130 @@
# Run integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Integer benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-integer-benchmarks:
name: Execute integer benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make FAST_BENCH=TRUE bench_integer
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Integer benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -0,0 +1,158 @@
# Run all integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Integer full benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
prepare-matrix:
name: Prepare operations matrix
runs-on: ubuntu-latest
outputs:
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
steps:
- name: Weekly benchmarks
if: ${{ github.event.inputs.user_inputs == 'weekly_benchmarks' }}
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
- name: Quarterly benchmarks
if: ${{ github.event.inputs.user_inputs == 'quarterly_benchmarks' }}
run: |
echo "OP_FLAVOR=[\"default\", \"smart\", \"unchecked\", \"misc\"]" >> "${GITHUB_ENV}"
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
integer-benchmarks:
name: Execute integer benchmarks for all operations flavor
needs: prepare-matrix
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
continue-on-error: true
timeout-minutes: 1440 # 24 hours
strategy:
max-parallel: 1
matrix:
command: [ integer, integer_multi_bit]
op_flavor: ${{ fromJson(needs.prepare-matrix.outputs.op_flavor) }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notification:
name: Slack Notification
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ failure() }}
needs: integer-benchmarks
steps:
- name: Notify
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Integer full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -23,14 +23,14 @@ jobs:
setup-instance:
name: Setup instance (cuda-integer-benchmarks)
runs-on: ubuntu-latest
if: github.event_name == 'workflow_dispatch' ||
if: github.event_name != 'push' ||
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -53,13 +53,13 @@ jobs:
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
CMAKE_VERSION: 3.29.1
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
@@ -68,10 +68,9 @@ jobs:
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -87,7 +86,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
@@ -111,10 +110,6 @@ jobs:
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make FAST_BENCH=TRUE BENCH_OP_FLAVOR=default bench_integer_gpu
@@ -125,7 +120,7 @@ jobs:
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
@@ -145,13 +140,13 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
@@ -160,18 +155,26 @@ jobs:
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-benchmarks.result != 'skipped' && failure() }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU benchmarks finished with status: ${{ needs.cuda-integer-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -184,7 +187,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -195,7 +198,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -29,7 +29,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -49,7 +49,7 @@ jobs:
max-parallel: 1
matrix:
command: [integer, integer_multi_bit]
op_flavor: [default]
op_flavor: [default, unchecked]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
@@ -57,13 +57,13 @@ jobs:
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
CMAKE_VERSION: 3.29.1
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
@@ -72,10 +72,9 @@ jobs:
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -91,7 +90,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
@@ -116,26 +115,16 @@ jobs:
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
# Run these benchmarks only once
- name: Run compression benchmarks with AVX512
if: matrix.op_flavor == 'default' && matrix.command == 'integer'
run: |
make bench_integer_compression_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
@@ -151,7 +140,7 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
@@ -159,18 +148,26 @@ jobs:
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-full-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-full-benchmarks.result != 'skipped' && failure() }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-full-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU full benchmarks finished with status: ${{ needs.cuda-integer-full-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -183,7 +180,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -194,7 +191,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-full-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -0,0 +1,130 @@
# Run integer benchmarks with multi-bit cryptographic parameters on an AWS instance and return parsed results to Slab CI bot.
name: Integer Multi-bit benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-integer-benchmarks:
name: Execute integer multi-bit benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Run multi-bit benchmarks with AVX512
run: |
make FAST_BENCH=TRUE bench_integer_multi_bit
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Integer benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -3,16 +3,6 @@ name: Integer GPU Multi-bit benchmarks
on:
workflow_dispatch:
inputs:
all_precisions:
description: "Run all precisions"
type: boolean
default: false
fast_default:
description: "Run only deduplicated default operations without scalar variants"
type: boolean
default: false
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
@@ -28,8 +18,6 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_BENCH: TRUE
BENCH_OP_FLAVOR: default
jobs:
setup-instance:
@@ -42,7 +30,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -66,13 +54,13 @@ jobs:
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
CMAKE_VERSION: 3.29.1
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
@@ -81,10 +69,9 @@ jobs:
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -100,7 +87,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
@@ -124,23 +111,9 @@ jobs:
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${GITHUB_ENV}"
- name: Should run fast subset benchmarks
if: inputs.fast_default
run: |
echo "BENCH_OP_FLAVOR=fast_default" >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run multi-bit benchmarks with AVX512
run: |
make bench_unsigned_integer_multi_bit_gpu
make FAST_BENCH=TRUE BENCH_OP_FLAVOR=default bench_integer_multi_bit_gpu
- name: Parse benchmarks to csv
run: |
@@ -148,7 +121,7 @@ jobs:
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
@@ -168,13 +141,13 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
@@ -183,18 +156,27 @@ jobs:
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-multi-bit-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-multi-bit-benchmarks.result != 'skipped' && failure() }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-multi-bit-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU multi-bit benchmarks finished with status: ${{ needs.cuda-integer-multi-bit-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -207,7 +189,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -218,7 +200,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-multi-bit-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -3,16 +3,6 @@ name: Integer multi GPU Multi-bit benchmarks
on:
workflow_dispatch:
inputs:
all_precisions:
description: "Run all precisions"
type: boolean
default: false
fast_default:
description: "Run only deduplicated default operations without scalar variants"
type: boolean
default: false
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
@@ -27,29 +17,25 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_BENCH: TRUE
BENCH_OP_FLAVOR: default
jobs:
setup-instance:
name: Setup instance (cuda-integer-multi-bit-multi-gpu-benchmarks)
runs-on: ubuntu-latest
if: ${{ (github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
github.event_name == 'workflow_dispatch' }}
if: ${{ (github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs') || github.event_name == 'workflow_dispatch' }}
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: multi-h100
backend: aws
profile: multi-gpu-test
cuda-integer-multi-bit-multi-gpu-benchmarks:
name: Execute multi GPU integer multi-bit benchmarks
@@ -64,28 +50,15 @@ jobs:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -101,7 +74,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
@@ -126,35 +99,21 @@ jobs:
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${GITHUB_ENV}"
- name: Should run fast subset benchmarks
if: inputs.fast_default
run: |
echo "BENCH_OP_FLAVOR=fast_default" >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run multi-bit benchmarks with AVX512
run: |
make bench_unsigned_integer_multi_bit_gpu
make FAST_BENCH=TRUE BENCH_OP_FLAVOR=default bench_integer_multi_bit_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x8" \
--hardware "p3.8xlarge" \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
@@ -165,7 +124,7 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
@@ -173,18 +132,26 @@ jobs:
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-multi-bit-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-multi-bit-multi-gpu-benchmarks.result != 'skipped' && failure() }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-multi-bit-multi-gpu-benchmarks.result }}
SLACK_MESSAGE: "Integer multi GPU multi-bit benchmarks finished with status: ${{ needs.cuda-integer-multi-bit-multi-gpu-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -197,7 +164,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -208,7 +175,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-multi-bit-multi-gpu-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -29,17 +29,17 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: multi-h100
backend: aws
profile: multi-gpu-test
cuda-integer-full-multi-gpu-benchmarks:
name: Execute multi GPU integer benchmarks
name: Execute multi GPU integer benchmarks for all operations flavor
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
@@ -48,34 +48,21 @@ jobs:
fail-fast: false
max-parallel: 1
matrix:
command: [integer_multi_bit]
op_flavor: [default]
command: [integer, integer_multi_bit]
op_flavor: [default, unchecked]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -91,7 +78,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
@@ -116,16 +103,12 @@ jobs:
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
@@ -134,7 +117,7 @@ jobs:
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x8" \
--hardware "p3.8xlarge" \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
@@ -145,7 +128,7 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
@@ -153,18 +136,26 @@ jobs:
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-full-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-full-multi-gpu-benchmarks.result != 'skipped' && failure() }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-full-multi-gpu-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU full benchmarks finished with status: ${{ needs.cuda-integer-full-multi-gpu-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -177,7 +168,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -188,7 +179,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-full-multi-gpu-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -34,12 +34,12 @@ jobs:
timeout-minutes: 720
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -149,7 +149,7 @@ jobs:
- name: Slack Notification
if: ${{ needs.cargo-builds.result != 'skipped' }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cargo-builds.result }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}

View File

@@ -30,69 +30,20 @@ env:
NPM_TAG: ""
jobs:
verify_tag:
uses: ./.github/workflows/verify_tagged_commit.yml
secrets:
RELEASE_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
package:
runs-on: ubuntu-latest
needs: verify_tag
outputs:
hash: ${{ steps.hash.outputs.hash }}
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Prepare package
run: |
cargo package -p tfhe
- uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882 # v4.4.3
with:
name: crate
path: target/package/*.crate
- name: generate hash
id: hash
run: cd target/package && echo "hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance:
if: ${{ !inputs.dry_run }}
needs: [package]
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v2.0.0
permissions:
# Needed to detect the GitHub Actions environment
actions: read
# Needed to create the provenance via GitHub OIDC
id-token: write
# Needed to upload assets/artifacts
contents: write
with:
# SHA-256 hashes of the Crate package.
base64-subjects: ${{ needs.package.outputs.hash }}
publish_release:
name: Publish Release
needs: [package] # for comparing hashes
runs-on: ubuntu-latest
permissions:
contents: read
id-token: write
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Create NPM version tag
if: ${{ inputs.npm_latest_tag }}
run: |
echo "NPM_TAG=latest" >> "${GITHUB_ENV}"
- name: Download artifact
uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
with:
name: crate
path: target/package
- name: Publish crate.io package
if: ${{ inputs.push_to_crates }}
env:
@@ -101,22 +52,6 @@ jobs:
run: |
cargo publish -p tfhe --token ${{ env.CRATES_TOKEN }} ${{ env.DRY_RUN }}
- name: Generate hash
id: published_hash
run: cd target/package && echo "pub_hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
- name: Slack notification (hashes comparison)
if: ${{ needs.package.outputs.hash != steps.published_hash.outputs.pub_hash }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: failure
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "SLSA tfhe crate - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
- name: Build web package
if: ${{ inputs.push_web_package }}
run: |
@@ -130,7 +65,6 @@ jobs:
package: tfhe/pkg/package.json
dry-run: ${{ inputs.dry_run }}
tag: ${{ env.NPM_TAG }}
provenance: true
- name: Build Node package
if: ${{ inputs.push_node_package }}
@@ -148,12 +82,11 @@ jobs:
package: tfhe/pkg/package.json
dry-run: ${{ inputs.dry_run }}
tag: ${{ env.NPM_TAG }}
provenance: true
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}

View File

@@ -1,3 +1,4 @@
# Publish new release of tfhe-rs on various platform.
name: Publish concrete-csprng release
on:
@@ -12,19 +13,12 @@ env:
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
jobs:
verify_tag:
uses: ./.github/workflows/verify_tagged_commit.yml
secrets:
RELEASE_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
publish_release:
name: Publish concrete-csprng Release
needs: verify_tag
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
@@ -38,11 +32,11 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "concrete-csprng release finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "concrete-csprng release failed: (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -21,29 +21,22 @@ env:
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
verify_tag:
uses: ./.github/workflows/verify_tagged_commit.yml
secrets:
RELEASE_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
setup-instance:
name: Setup instance (publish-cuda-release)
needs: verify_tag
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: gpu-build
profile: gpu-test
publish-cuda-release:
name: Publish CUDA Release
@@ -61,7 +54,7 @@ jobs:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
@@ -70,7 +63,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -106,7 +99,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe-cuda-backend release finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -119,7 +112,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -130,7 +123,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (publish-cuda-release) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,55 +0,0 @@
name: Publish tfhe-versionable release
on:
workflow_dispatch:
inputs:
dry_run:
description: "Dry-run"
type: boolean
default: true
env:
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
jobs:
verify_tag:
uses: ./.github/workflows/verify_tagged_commit.yml
secrets:
RELEASE_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
publish_release:
name: Publish tfhe-versionable Release
needs: verify_tag
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Publish proc-macro crate
env:
CRATES_TOKEN: ${{ secrets.CARGO_REGISTRY_TOKEN }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
run: |
cargo publish -p tfhe-versionable-derive --token ${{ env.CRATES_TOKEN }} ${{ env.DRY_RUN }}
- name: Publish main crate
if: ${{ ! inputs.dry_run }}
env:
CRATES_TOKEN: ${{ secrets.CARGO_REGISTRY_TOKEN }}
run: |
cargo publish -p tfhe-versionable --token ${{ env.CRATES_TOKEN }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "tfhe-versionable release finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -13,19 +13,12 @@ env:
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
jobs:
verify_tag:
uses: ./.github/workflows/verify_tagged_commit.yml
secrets:
RELEASE_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
publish_release:
name: Publish tfhe-zk-pok Release
needs: verify_tag
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
@@ -39,7 +32,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}

View File

@@ -14,17 +14,17 @@ on:
jobs:
params-curves-security-check:
runs-on: large_ubuntu_16
runs-on: ubuntu-latest
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Checkout lattice-estimator
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: malb/lattice-estimator
path: lattice_estimator
ref: 'e80ec6bbbba212428b0e92d0467c18629cf9ed67'
ref: '53508253629d3b5d31a2ad110e85dc69391ccb95'
- name: Install Sage
run: |
@@ -42,7 +42,7 @@ jobs:
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}

128
.github/workflows/shortint_benchmark.yml vendored Normal file
View File

@@ -0,0 +1,128 @@
# Run shortint benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Shortint benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-shortint-benchmarks:
name: Execute shortint benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make bench_shortint
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Measure key sizes
run: |
make measure_shortint_key_sizes
- name: Parse key sizes results
run: |
python3 ./ci/benchmark_parser.py tfhe/shortint_key_sizes.csv ${{ env.RESULTS_FILENAME }} \
--key-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_shortint
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Shortint benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -0,0 +1,152 @@
# Run all shortint benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Shortint full benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
# This input is not used in this workflow but still mandatory since a calling workflow could
# use it. If a triggering command include a user_inputs field, then the triggered workflow
# must include this very input, otherwise the workflow won't be called.
# See start_full_benchmarks.yml as example.
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
shortint-benchmarks:
name: Execute shortint benchmarks for all operations flavor
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
strategy:
max-parallel: 1
matrix:
op_flavor: [ default, smart, unchecked ]
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_shortint
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
# This small benchmark needs to be executed only once.
- name: Measure key sizes
if: matrix.op_flavor == 'default'
run: |
make measure_shortint_key_sizes
- name: Parse key sizes results
if: matrix.op_flavor == 'default'
run: |
python3 ./ci/benchmark_parser.py tfhe/shortint_key_sizes.csv ${{ env.RESULTS_FILENAME }} \
--key-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_shortint_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notification:
name: Slack Notification
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ failure() }}
needs: shortint-benchmarks
steps:
- name: Notify
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Shortint full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -0,0 +1,130 @@
# Run signed integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Signed Integer benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-integer-benchmarks:
name: Execute signed integer benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make FAST_BENCH=TRUE bench_signed_integer
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Signed integer benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -0,0 +1,136 @@
# Run all signed integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Signed Integer full benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
integer-benchmarks:
name: Execute signed integer benchmarks for all operations flavor
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
continue-on-error: true
timeout-minutes: 1440 # 24 hours
strategy:
max-parallel: 1
matrix:
command: [ integer, integer_multi_bit ]
op_flavor: [ default, unchecked ]
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_signed_${{ matrix.command }}
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notification:
name: Slack Notification
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ failure() }}
needs: integer-benchmarks
steps:
- name: Notify
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Signed integer full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -0,0 +1,130 @@
# Run signed integer benchmarks with multi-bit cryptographic parameters on an AWS instance and return parsed results to Slab CI bot.
name: Signed Integer Multi-bit benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-integer-benchmarks:
name: Execute signed integer multi-bit benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Run multi-bit benchmarks with AVX512
run: |
make FAST_BENCH=TRUE bench_signed_integer_multi_bit
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Signed integer benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

123
.github/workflows/start_benchmarks.yml vendored Normal file
View File

@@ -0,0 +1,123 @@
# Start all benchmark jobs on Slab CI bot.
name: Start all benchmarks
on:
push:
branches:
- "main"
workflow_dispatch:
inputs:
# The input name must be the name of the slab command to launch
boolean_bench:
description: "Run Boolean benches"
type: boolean
default: true
shortint_bench:
description: "Run shortint benches"
type: boolean
default: true
integer_bench:
description: "Run integer benches"
type: boolean
default: true
signed_integer_bench:
description: "Run signed integer benches"
type: boolean
default: true
integer_multi_bit_bench:
description: "Run integer multi bit benches"
type: boolean
default: true
signed_integer_multi_bit_bench:
description: "Run signed integer multi bit benches"
type: boolean
default: true
core_crypto_bench:
description: "Run core crypto benches"
type: boolean
default: true
jobs:
start-benchmarks:
if: ${{ (github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs') || github.event_name == 'workflow_dispatch' }}
strategy:
matrix:
command: [ boolean_bench, shortint_bench,
integer_bench, integer_multi_bit_bench,
signed_integer_bench, signed_integer_multi_bit_bench,
core_crypto_bench ]
runs-on: ubuntu-latest
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@eaf854ef0c266753e1abec356dcf17d92695b251
with:
files_yaml: |
common_benches:
- toolchain.txt
- Makefile
- ci/slab.toml
- tfhe/Cargo.toml
- tfhe/src/core_crypto/**
- .github/workflows/start_benchmarks.yml
boolean_bench:
- tfhe/src/boolean/**
- tfhe/benches/boolean/**
- .github/workflows/boolean_benchmark.yml
shortint_bench:
- tfhe/src/shortint/**
- tfhe/benches/shortint/**
- .github/workflows/shortint_benchmark.yml
integer_bench:
- tfhe/src/shortint/**
- tfhe/src/integer/**
- tfhe/benches/integer/bench.rs
- .github/workflows/integer_benchmark.yml
integer_multi_bit_bench:
- tfhe/src/shortint/**
- tfhe/src/integer/**
- tfhe/benches/integer/bench.rs
- .github/workflows/integer_multi_bit_benchmark.yml
signed_integer_bench:
- tfhe/src/shortint/**
- tfhe/src/integer/**
- tfhe/benches/integer/signed_bench.rs
- .github/workflows/signed_integer_benchmark.yml
signed_integer_multi_bit_bench:
- tfhe/src/shortint/**
- tfhe/src/integer/**
- tfhe/benches/integer/signed_bench.rs
- .github/workflows/signed_integer_multi_bit_benchmark.yml
core_crypto_bench:
- tfhe/src/core_crypto/**
- tfhe/benches/core_crypto/**
- .github/workflows/core_crypto_benchmark.yml
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Start AWS job in Slab
# If manually triggered check that the current bench has been requested
# Otherwise if it's on push check that files relevant to benchmarks have changed
if: (github.event_name == 'workflow_dispatch' && github.event.inputs[matrix.command] == 'true') || (github.event_name == 'push' && (steps.changed-files.outputs.common_benches_any_changed == 'true' || steps.changed-files.outputs[format('{0}_any_changed', matrix.command)] == 'true'))
shell: bash
run: |
echo -n '{"command": "${{ matrix.command }}", "git_ref": "${{ github.ref }}", "sha": "${{ github.sha }}"}' > command.json
SIGNATURE="$(slab/scripts/hmac_calculator.sh command.json '${{ secrets.JOB_SECRET }}')"
curl -v -k \
--fail-with-body \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: start_aws" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @command.json \
${{ secrets.SLAB_URL }}

View File

@@ -0,0 +1,66 @@
# Start all benchmark jobs, including full shortint and integer, on Slab CI bot.
name: Start full suite benchmarks
on:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
# Quarterly benchmarks will be triggered right before end of quarter, the 25th of the current month at 4a.m.
# These benchmarks are far longer to execute hence the reason to run them only four time a year.
- cron: '0 4 25 MAR,JUN,SEP,DEC *'
workflow_dispatch:
inputs:
benchmark_type:
description: 'Benchmark type'
required: true
default: 'weekly'
type: choice
options:
- weekly
- quarterly
jobs:
start-benchmarks:
if: ${{ (github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') || github.event_name == 'workflow_dispatch' }}
strategy:
matrix:
command: [ boolean_bench, shortint_full_bench,
integer_full_bench, signed_integer_full_bench,
core_crypto_bench, wasm_client_bench ]
runs-on: ubuntu-latest
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Set benchmarks type as weekly
if: (github.event_name == 'workflow_dispatch' && inputs.benchmark_type == 'weekly') || github.event.schedule == '0 1 * * 6'
run: |
echo "BENCH_TYPE=weekly_benchmarks" >> "${GITHUB_ENV}"
- name: Set benchmarks type as quarterly
if: (github.event_name == 'workflow_dispatch' && inputs.benchmark_type == 'quarterly') || github.event.schedule == '0 4 25 MAR,JUN,SEP,DEC *'
run: |
echo "BENCH_TYPE=quarterly_benchmarks" >> "${GITHUB_ENV}"
- name: Start AWS job in Slab
shell: bash
run: |
echo -n '{"command": "${{ matrix.command }}", "git_ref": "${{ github.ref }}", "sha": "${{ github.sha }}", "user_inputs": "${{ env.BENCH_TYPE }}"}' > command.json
SIGNATURE="$(slab/scripts/hmac_calculator.sh command.json '${{ secrets.JOB_SECRET }}')"
curl -v -k \
--fail-with-body \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: start_aws" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @command.json \
${{ secrets.SLAB_URL }}

View File

@@ -13,7 +13,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: git-sync

View File

@@ -1,32 +0,0 @@
# Verify a tagged commit
name: Verify tagged commit
on:
workflow_call:
secrets:
RELEASE_TEAM:
required: true
READ_ORG_TOKEN:
required: true
jobs:
checks:
runs-on: ubuntu-latest
if: startsWith(github.ref, 'refs/tags/')
steps:
# Check triggering actor membership
- name: Actor verification
id: actor_check
uses: morfien101/actions-authorized-user@4a3cfbf0bcb3cafe4a71710a278920c5d94bb38b
with:
username: ${{ github.triggering_actor }}
org: ${{ github.repository_owner }}
team: ${{ secrets.RELEASE_TEAM }}
github_token: ${{ secrets.READ_ORG_TOKEN }}
- name: Actor authorized
run: |
if [ "${{ steps.actor_check.outputs.authorized }}" == "false" ]; then
echo "Actor '${{ github.triggering_actor }}' is not authorized to perform release"
exit 1
fi

View File

@@ -25,21 +25,20 @@ jobs:
should-run:
runs-on: ubuntu-latest
if: github.event_name == 'workflow_dispatch' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs')
((github.event_name == 'push' || github.event_name == 'schedule') && github.repository == 'zama-ai/tfhe-rs')
permissions:
pull-requests: write
outputs:
wasm_bench: ${{ steps.changed-files.outputs.wasm_bench_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
uses: tj-actions/changed-files@eaf854ef0c266753e1abec356dcf17d92695b251
with:
since_last_remote_commit: true
files_yaml: |
@@ -54,8 +53,7 @@ jobs:
setup-instance:
name: Setup instance (wasm-client-benchmarks)
if: github.event_name == 'workflow_dispatch' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
if: github.event_name != 'push' ||
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs' && needs.should-run.outputs.wasm_bench)
needs: should-run
runs-on: ubuntu-latest
@@ -64,7 +62,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -75,19 +73,15 @@ jobs:
wasm-client-benchmarks:
name: Execute WASM client benchmarks
needs: setup-instance
if: needs.setup-instance.result != 'skipped'
needs: [ should-run, setup-instance ]
if: github.event_name != 'push' ||
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs' && needs.should-run.outputs.wasm_bench)
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
max-parallel: 1
matrix:
browser: [ chrome, firefox ]
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -97,46 +91,20 @@ jobs:
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Get Node version
run: |
echo "NODE_VERSION=$(make node_version)" >> "${GITHUB_ENV}"
- name: Node cache restoration
id: node-cache
uses: actions/cache/restore@6849a6489940f00c2f30c0fb92c6274307ccb58a #v4.1.2
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Install Node
if: steps.node-cache.outputs.cache-hit != 'true'
run: |
make install_node
- name: Node cache save
uses: actions/cache/save@6849a6489940f00c2f30c0fb92c6274307ccb58a #v4.1.2
if: steps.node-cache.outputs.cache-hit != 'true'
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Install web resources
run: |
make install_${{ matrix.browser }}_browser
make install_${{ matrix.browser }}_web_driver
- name: Run benchmarks
run: |
make bench_web_js_api_parallel_${{ matrix.browser }}_ci
make install_node
make bench_web_js_api_parallel_ci
- name: Parse results
run: |
@@ -149,29 +117,25 @@ jobs:
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--key-gen
rm tfhe/wasm_pk_gen.csv
# Run these benchmarks only once
- name: Measure public key and ciphertext sizes in HL Api
if: matrix.browser == 'chrome'
run: |
make measure_hlapi_compact_pk_ct_sizes
- name: Parse key and ciphertext sizes results
if: matrix.browser == 'chrome'
run: |
python3 ./ci/benchmark_parser.py tfhe/hlapi_cpk_and_cctl_sizes.csv ${{ env.RESULTS_FILENAME }} \
--key-gen \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_wasm_${{ matrix.browser }}
name: ${{ github.sha }}_wasm
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
@@ -180,16 +144,24 @@ jobs:
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "WASM benchmarks (${{ matrix.browser }}) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "WASM benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (wasm-client-benchmarks)
@@ -199,7 +171,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -210,7 +182,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (wasm-client-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -24,19 +24,19 @@ env:
jobs:
should-run:
runs-on: ubuntu-latest
if: github.event_name == 'workflow_dispatch' ||
((github.event_name == 'push' || github.event_name == 'schedule') && github.repository == 'zama-ai/tfhe-rs')
if: github.event_name != 'push' ||
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs')
outputs:
zk_pok_changed: ${{ steps.changed-files.outputs.zk_pok_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
uses: tj-actions/changed-files@eaf854ef0c266753e1abec356dcf17d92695b251
with:
since_last_remote_commit: true
files_yaml: |
@@ -55,7 +55,7 @@ jobs:
name: Setup instance (pke-zk-benchmarks)
runs-on: ubuntu-latest
needs: should-run
if: github.event_name == 'workflow_dispatch' ||
if: github.event_name != 'push' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'push' &&
github.repository == 'zama-ai/tfhe-rs' &&
@@ -65,7 +65,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -76,18 +76,19 @@ jobs:
pke-zk-benchmarks:
name: Execute PKE ZK benchmarks
if: needs.setup-instance.result != 'skipped'
needs: setup-instance
if: github.event_name != 'push' ||
((github.event_name == 'push' || github.event_name == 'schedule') &&
needs.setup-instance.result != 'skipped')
needs: [ should-run, setup-instance ]
concurrency:
group: ${{ github.workflow }}_${{github.event_name}}_${{ github.ref }}${{ github.ref == 'refs/heads/main' && github.sha || '' }}
group: ${{ github.workflow }}_${{github.event_name}}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -103,12 +104,12 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
@@ -135,17 +136,17 @@ jobs:
- name: Parse CRS sizes results
run: |
python3 ./ci/benchmark_parser.py tfhe/pke_zk_crs_sizes.csv ${{ env.RESULTS_FILENAME }} \
--object-sizes \
--key-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@65462800fd760344b1a7b4382951275a0abb4808
with:
name: ${{ github.sha }}_integer_zk
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
@@ -154,13 +155,21 @@ jobs:
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "PKE ZK benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -173,7 +182,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@801df0b8db5ea2b06128b7476c652f5ed5f193a8
uses: zama-ai/slab-github-runner@1d4b7b7540118af5f96ac16a1dc4cfd9c5929dc8
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -184,7 +193,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (pke-zk-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

3
.gitignore vendored
View File

@@ -7,7 +7,6 @@ target/
# In case of symlinked keys
/keys
**/*.rmeta
**/Cargo.lock
**/*.bin
@@ -26,8 +25,6 @@ backends/tfhe-cuda-backend/cuda/cmake-build-debug/
# WASM tests
tfhe/web_wasm_parallel_tests/server.PID
venv/
web-test-runner/
# Dir used for backward compatibility test data
tfhe/tfhe-backward-compat-data/

View File

@@ -8,13 +8,10 @@ members = [
"concrete-csprng",
"backends/tfhe-cuda-backend",
"utils/tfhe-versionable",
"utils/tfhe-versionable-derive",
"utils/tfhe-versionable-derive"
]
exclude = [
"tfhe/backward_compatibility_tests",
"utils/cargo-tfhe-lints-inner",
"utils/cargo-tfhe-lints"
"tfhe/backward_compatibility_tests"
]
[profile.bench]

440
Makefile
View File

@@ -16,21 +16,31 @@ GEN_KEY_CACHE_COVERAGE_ONLY?=FALSE
PARSE_INTEGER_BENCH_CSV_FILE?=tfhe_rs_integer_benches.csv
FAST_TESTS?=FALSE
FAST_BENCH?=FALSE
NIGHTLY_TESTS?=FALSE
BENCH_OP_FLAVOR?=DEFAULT
NODE_VERSION=22.6
NODE_VERSION=20
FORWARD_COMPAT?=OFF
BACKWARD_COMPAT_DATA_URL=https://github.com/zama-ai/tfhe-backward-compat-data.git
BACKWARD_COMPAT_DATA_BRANCH?=v0.3
BACKWARD_COMPAT_DATA_PROJECT=tfhe-backward-compat-data
BACKWARD_COMPAT_DATA_DIR=$(BACKWARD_COMPAT_DATA_PROJECT)
TFHE_SPEC:=tfhe
WEB_RUNNER_DIR=web-test-runner
WEB_SERVER_DIR=tfhe/web_wasm_parallel_tests
BACKWARD_COMPAT_DATA_DIR=tfhe-backward-compat-data
# sed: -n, do not print input stream, -e means a script/expression
# 1,/version/ indicates from the first line, to the line matching version at the start of the line
# p indicates to print, so we keep only the start of the Cargo.toml until we hit the first version
# entry which should be the version of tfhe
TFHE_CURRENT_VERSION:=\
$(shell sed -n -e '1,/^version/p' tfhe/Cargo.toml | \
grep '^version[[:space:]]*=' | cut -d '=' -f 2 | xargs)
# Cargo has a hard time distinguishing between our package from the workspace and a package that
# could be a dependency, so we build an unambiguous spec here
TFHE_SPEC:=tfhe@$(TFHE_CURRENT_VERSION)
# This is done to avoid forgetting it, we still precise the RUSTFLAGS in the commands to be able to
# copy paste the command in the terminal and change them if required without forgetting the flags
export RUSTFLAGS?=-C target-cpu=native
ifeq ($(AVX512_SUPPORT),ON)
AVX512_FEATURE=nightly-avx512
else
AVX512_FEATURE=
endif
ifeq ($(GEN_KEY_CACHE_MULTI_BIT_ONLY),TRUE)
MULTI_BIT_ONLY=--multi-bit-only
else
@@ -107,7 +117,7 @@ install_cargo_nextest: install_rs_build_toolchain
.PHONY: install_wasm_pack # Install wasm-pack to build JS packages
install_wasm_pack: install_rs_build_toolchain
@wasm-pack --version > /dev/null 2>&1 || \
cargo $(CARGO_RS_BUILD_TOOLCHAIN) install --locked wasm-pack@0.13.0 || \
cargo $(CARGO_RS_BUILD_TOOLCHAIN) install wasm-pack || \
( echo "Unable to install cargo wasm-pack, unknown error." && exit 1 )
.PHONY: install_node # Install last version of NodeJS via nvm
@@ -122,10 +132,6 @@ install_node:
$(SHELL) -i -c 'nvm install $(NODE_VERSION)' || \
( echo "Unable to install node, unknown error." && exit 1 )
.PHONY: node_version # Return Node version that will be installed
node_version:
@echo "$(NODE_VERSION)"
.PHONY: install_dieharder # Install dieharder for apt distributions or macOS
install_dieharder:
@dieharder -h > /dev/null 2>&1 || \
@@ -141,68 +147,6 @@ install_tarpaulin: install_rs_build_toolchain
cargo $(CARGO_RS_BUILD_TOOLCHAIN) install cargo-tarpaulin --locked || \
( echo "Unable to install cargo tarpaulin, unknown error." && exit 1 )
.PHONY: install_tfhe_lints # Install custom tfhe-rs lints
install_tfhe_lints:
(cd utils/cargo-tfhe-lints-inner && cargo install --path .) && \
cd utils/cargo-tfhe-lints && cargo install --path .
.PHONY: install_typos_checker # Install typos checker
install_typos_checker: install_rs_build_toolchain
@typos --version > /dev/null 2>&1 || \
cargo $(CARGO_RS_BUILD_TOOLCHAIN) install typos-cli || \
( echo "Unable to install typos-cli, unknown error." && exit 1 )
.PHONY: setup_venv # Setup Python virtualenv for wasm tests
setup_venv:
python3 -m venv venv
@source venv/bin/activate && \
pip3 install -r ci/webdriver_requirements.txt
# This is an internal target, not meant to be called on its own.
install_web_resource:
wget -P $(dest) $(url)
@cd $(dest) && \
echo "$(checksum) $(filename)" > checksum && \
sha256sum -c checksum && \
rm checksum && \
$(decompress_cmd) $(filename)
install_chrome_browser: url = "https://storage.googleapis.com/chrome-for-testing-public/130.0.6723.69/linux64/chrome-linux64.zip"
install_chrome_browser: checksum = "f789d53911a50cfa4a2bc1f09cde57567247f52515436d92b1aa9de93c2787d0"
install_chrome_browser: dest = "$(WEB_RUNNER_DIR)/chrome"
install_chrome_browser: filename = "chrome-linux64.zip"
install_chrome_browser: decompress_cmd = unzip
.PHONY: install_chrome_browser # Install Chrome browser for Linux
install_chrome_browser: install_web_resource
install_chrome_web_driver: url = "https://storage.googleapis.com/chrome-for-testing-public/130.0.6723.69/linux64/chromedriver-linux64.zip"
install_chrome_web_driver: checksum = "90fe8dedf33eefe4b72704f626fa9f5834427c042235cfeb4251f18c9f0336ea"
install_chrome_web_driver: dest = "$(WEB_RUNNER_DIR)/chrome"
install_chrome_web_driver: filename = "chromedriver-linux64.zip"
install_chrome_web_driver: decompress_cmd = unzip
.PHONY: install_chrome_web_driver # Install Chrome web driver for Linux
install_chrome_web_driver: install_web_resource
install_firefox_browser: url = "https://download-installer.cdn.mozilla.net/pub/firefox/releases/131.0/linux-x86_64/en-US/firefox-131.0.tar.bz2"
install_firefox_browser: checksum = "4ca8504a62a31472ecb8c3a769d4301dd4ac692d4cc5d51b8fe2cf41e7b11106"
install_firefox_browser: dest = "$(WEB_RUNNER_DIR)/firefox"
install_firefox_browser: filename = "firefox-131.0.tar.bz2"
install_firefox_browser: decompress_cmd = tar -xvf
.PHONY: install_firefox_browser # Install firefox browser for Linux
install_firefox_browser: install_web_resource
install_firefox_web_driver: url = "https://github.com/mozilla/geckodriver/releases/download/v0.35.0/geckodriver-v0.35.0-linux64.tar.gz"
install_firefox_web_driver: checksum = "ac26e9ba8f3b8ce0fbf7339b9c9020192f6dcfcbf04a2bcd2af80dfe6bb24260"
install_firefox_web_driver: dest = "$(WEB_RUNNER_DIR)/firefox"
install_firefox_web_driver: filename = "geckodriver-v0.35.0-linux64.tar.gz"
install_firefox_web_driver: decompress_cmd = tar -xvf
.PHONY: install_firefox_web_driver # Install firefox web driver for Linux
install_firefox_web_driver: install_web_resource
.PHONY: check_linelint_installed # Check if linelint newline linter is installed
check_linelint_installed:
@printf "\n" | linelint - > /dev/null 2>&1 || \
@@ -264,10 +208,6 @@ check_fmt_js: check_nvm_installed
nvm use $(NODE_VERSION) && \
$(MAKE) -C tfhe/web_wasm_parallel_tests check_fmt
.PHONY: check_typos # Check for typos in codebase
check_typos: install_typos_checker
@typos && echo "No typos found"
.PHONY: clippy_gpu # Run clippy lints on tfhe with "gpu" enabled
clippy_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
@@ -275,13 +215,6 @@ clippy_gpu: install_rs_check_toolchain
--all-targets \
-p $(TFHE_SPEC) -- --no-deps -D warnings
.PHONY: check_gpu # Run check on tfhe with "gpu" enabled
check_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" check \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache,gpu \
--all-targets \
-p $(TFHE_SPEC)
.PHONY: fix_newline # Fix newline at end of file issues to be UNIX compliant
fix_newline: check_linelint_installed
linelint -a .
@@ -320,18 +253,12 @@ clippy_shortint: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
--features=$(TARGET_ARCH_FEATURE),shortint \
-p $(TFHE_SPEC) -- --no-deps -D warnings
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
--features=$(TARGET_ARCH_FEATURE),shortint,experimental \
-p $(TFHE_SPEC) -- --no-deps -D warnings
.PHONY: clippy_integer # Run clippy lints enabling the integer features
clippy_integer: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
--features=$(TARGET_ARCH_FEATURE),integer \
-p $(TFHE_SPEC) -- --no-deps -D warnings
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
--features=$(TARGET_ARCH_FEATURE),integer,experimental \
-p $(TFHE_SPEC) -- --no-deps -D warnings
.PHONY: clippy # Run clippy lints enabling the boolean, shortint, integer
clippy: install_rs_check_toolchain
@@ -339,17 +266,6 @@ clippy: install_rs_check_toolchain
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer \
-p $(TFHE_SPEC) -- --no-deps -D warnings
.PHONY: clippy_rustdoc # Run clippy lints on doctests enabling the boolean, shortint, integer and zk-pok
clippy_rustdoc: install_rs_check_toolchain
if [[ "$(OS)" != "Linux" && "$(OS)" != "Darwin" ]]; then \
echo "WARNING: skipped clippy_rustdoc, unsupported OS $(OS)"; \
exit 0; \
fi && \
CLIPPYFLAGS="-D warnings" RUSTDOCFLAGS="--no-run --nocapture --test-builder ./scripts/clippy_driver.sh -Z unstable-options" \
cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" test --doc \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,zk-pok,pbs-stats \
-p $(TFHE_SPEC)
.PHONY: clippy_c_api # Run clippy lints enabling the boolean, shortint and the C API
clippy_c_api: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
@@ -358,9 +274,6 @@ clippy_c_api: install_rs_check_toolchain
.PHONY: clippy_js_wasm_api # Run clippy lints enabling the boolean, shortint, integer and the js wasm API
clippy_js_wasm_api: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
--features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api,high-level-client-js-wasm-api,zk-pok \
-p $(TFHE_SPEC) -- --no-deps -D warnings
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
--features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api,high-level-client-js-wasm-api \
-p $(TFHE_SPEC) -- --no-deps -D warnings
@@ -380,9 +293,6 @@ clippy_all_targets: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache,zk-pok \
-p $(TFHE_SPEC) -- --no-deps -D warnings
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache,zk-pok,experimental \
-p $(TFHE_SPEC) -- --no-deps -D warnings
.PHONY: clippy_concrete_csprng # Run clippy lints on concrete-csprng
clippy_concrete_csprng: install_rs_check_toolchain
@@ -395,47 +305,26 @@ clippy_zk_pok: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
-p tfhe-zk-pok -- --no-deps -D warnings
.PHONY: clippy_versionable # Run clippy lints on tfhe-versionable
clippy_versionable: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
-p tfhe-versionable-derive -- --no-deps -D warnings
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
-p tfhe-versionable -- --no-deps -D warnings
.PHONY: clippy_all # Run all clippy targets
clippy_all: clippy_rustdoc clippy clippy_boolean clippy_shortint clippy_integer clippy_all_targets \
clippy_c_api clippy_js_wasm_api clippy_tasks clippy_core clippy_concrete_csprng clippy_zk_pok clippy_trivium \
clippy_versionable
clippy_all: clippy clippy_boolean clippy_shortint clippy_integer clippy_all_targets clippy_c_api \
clippy_js_wasm_api clippy_tasks clippy_core clippy_concrete_csprng clippy_zk_pok clippy_trivium
.PHONY: clippy_fast # Run main clippy targets
clippy_fast: clippy_rustdoc clippy clippy_all_targets clippy_c_api clippy_js_wasm_api clippy_tasks \
clippy_core clippy_concrete_csprng
clippy_fast: clippy clippy_all_targets clippy_c_api clippy_js_wasm_api clippy_tasks clippy_core \
clippy_concrete_csprng
.PHONY: clippy_cuda_backend # Run clippy lints on the tfhe-cuda-backend
clippy_cuda_backend: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
-p tfhe-cuda-backend -- --no-deps -D warnings
.PHONY: check_rust_bindings_did_not_change # Check rust bindings are up to date for tfhe-cuda-backend
check_rust_bindings_did_not_change:
cargo build -p tfhe-cuda-backend && "$(MAKE)" fmt_gpu && \
git diff --quiet HEAD -- backends/tfhe-cuda-backend/src/bindings.rs || \
( echo "Generated bindings have changed! Please run 'git add backends/tfhe-cuda-backend/src/bindings.rs' \
and commit the changes." && exit 1 )
.PHONY: tfhe_lints # Run custom tfhe-rs lints
tfhe_lints: install_tfhe_lints
cd tfhe && RUSTFLAGS="$(RUSTFLAGS)" cargo tfhe-lints \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,zk-pok -- -D warnings
.PHONY: build_core # Build core_crypto without experimental features
build_core: install_rs_build_toolchain install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE) -p $(TFHE_SPEC)
@if [[ "$(AVX512_SUPPORT)" == "ON" ]]; then \
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),nightly-avx512 -p $(TFHE_SPEC); \
--features=$(TARGET_ARCH_FEATURE),$(AVX512_FEATURE) -p $(TFHE_SPEC); \
fi
.PHONY: build_core_experimental # Build core_crypto with experimental features
@@ -444,7 +333,7 @@ build_core_experimental: install_rs_build_toolchain install_rs_check_toolchain
--features=$(TARGET_ARCH_FEATURE),experimental -p $(TFHE_SPEC)
@if [[ "$(AVX512_SUPPORT)" == "ON" ]]; then \
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),experimental,nightly-avx512 -p $(TFHE_SPEC); \
--features=$(TARGET_ARCH_FEATURE),experimental,$(AVX512_FEATURE) -p $(TFHE_SPEC); \
fi
.PHONY: build_boolean # Build with boolean enabled
@@ -472,23 +361,32 @@ build_tfhe_coverage: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS) --cfg tarpaulin" cargo $(CARGO_RS_BUILD_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache -p $(TFHE_SPEC) --tests
.PHONY: symlink_c_libs_without_fingerprint # Link the .a and .so files without the changing hash part in target
symlink_c_libs_without_fingerprint:
@./scripts/symlink_c_libs_without_fingerprint.sh \
--cargo-profile "$(CARGO_PROFILE)" \
--lib-name tfhe-c-api-dynamic-buffer
.PHONY: build_c_api # Build the C API for boolean, shortint and integer
build_c_api: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api,high-level-c-api,zk-pok,$(FORWARD_COMPAT_FEATURE) \
-p $(TFHE_SPEC)
@"$(MAKE)" symlink_c_libs_without_fingerprint
.PHONY: build_c_api_gpu # Build the C API for boolean, shortint and integer
build_c_api_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api,high-level-c-api,zk-pok,gpu \
-p $(TFHE_SPEC)
@"$(MAKE)" symlink_c_libs_without_fingerprint
.PHONY: build_c_api_experimental_deterministic_fft # Build the C API for boolean, shortint and integer with experimental deterministic FFT
build_c_api_experimental_deterministic_fft: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api,high-level-c-api,zk-pok,experimental-force_fft_algo_dif4,$(FORWARD_COMPAT_FEATURE) \
-p $(TFHE_SPEC)
@"$(MAKE)" symlink_c_libs_without_fingerprint
.PHONY: build_web_js_api # Build the js API targeting the web browser
build_web_js_api: install_rs_build_toolchain install_wasm_pack
@@ -504,9 +402,7 @@ build_web_js_api_parallel: install_rs_check_toolchain install_wasm_pack
RUSTFLAGS="$(WASM_RUSTFLAGS) -C target-feature=+atomics,+bulk-memory,+mutable-globals" rustup run $(RS_CHECK_TOOLCHAIN) \
wasm-pack build --release --target=web \
-- --features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api,parallel-wasm-api,zk-pok \
-Z build-std=panic_abort,std && \
find pkg/snippets -type f -iname workerHelpers.worker.js -exec sed -i "s|from '..\/..\/..\/';|from '..\/..\/..\/tfhe.js';|" {} \;
jq '.files += ["snippets"]' tfhe/pkg/package.json > tmp_pkg.json && mv -f tmp_pkg.json tfhe/pkg/package.json
-Z build-std=panic_abort,std
.PHONY: build_node_js_api # Build the js API targeting nodejs
build_node_js_api: install_rs_build_toolchain install_wasm_pack
@@ -526,7 +422,7 @@ test_core_crypto: install_rs_build_toolchain install_rs_check_toolchain
--features=$(TARGET_ARCH_FEATURE),experimental,zk-pok -p $(TFHE_SPEC) -- core_crypto::
@if [[ "$(AVX512_SUPPORT)" == "ON" ]]; then \
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),experimental,zk-pok,nightly-avx512 -p $(TFHE_SPEC) -- core_crypto::; \
--features=$(TARGET_ARCH_FEATURE),experimental,zk-pok,$(AVX512_FEATURE) -p $(TFHE_SPEC) -- core_crypto::; \
fi
.PHONY: test_core_crypto_cov # Run the tests of the core_crypto module with code coverage
@@ -540,7 +436,7 @@ test_core_crypto_cov: install_rs_build_toolchain install_rs_check_toolchain inst
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) tarpaulin --profile $(CARGO_PROFILE) \
--out xml --output-dir coverage/core_crypto_avx512 --line --engine llvm --timeout 500 \
--implicit-test-threads $(COVERAGE_EXCLUDED_FILES) \
--features=$(TARGET_ARCH_FEATURE),experimental,internal-keycache,nightly-avx512 \
--features=$(TARGET_ARCH_FEATURE),experimental,internal-keycache,$(AVX512_FEATURE) \
-p $(TFHE_SPEC) -- -Z unstable-options --report-time core_crypto::; \
fi
@@ -549,8 +445,8 @@ test_cuda_backend:
mkdir -p "$(TFHECUDA_BUILD)" && \
cd "$(TFHECUDA_BUILD)" && \
cmake .. -DCMAKE_BUILD_TYPE=Release -DTFHE_CUDA_BACKEND_BUILD_TESTS=ON && \
"$(MAKE)" -j "$(CPU_COUNT)" && \
"$(MAKE)" test
make -j "$(CPU_COUNT)" && \
make test
.PHONY: test_gpu # Run the tests of the core_crypto module including experimental on the gpu backend
test_gpu: test_core_crypto_gpu test_integer_gpu test_cuda_backend
@@ -569,74 +465,6 @@ test_integer_gpu: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --doc --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),integer,gpu -p $(TFHE_SPEC) -- integer::gpu::server_key::
.PHONY: test_integer_compression
test_integer_compression: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),integer -p $(TFHE_SPEC) -- integer::ciphertext::compressed_ciphertext_list::tests::
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --doc --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),integer -p $(TFHE_SPEC) -- integer::ciphertext::compress
.PHONY: test_integer_compression_gpu
test_integer_compression_gpu: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),integer,gpu -p $(TFHE_SPEC) -- integer::gpu::ciphertext::compressed_ciphertext_list::tests::
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --doc --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),integer,gpu -p $(TFHE_SPEC) -- integer::gpu::ciphertext::compress
.PHONY: test_integer_gpu_ci # Run the tests for integer ci on gpu backend
test_integer_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --backend "gpu" \
--tfhe-package "$(TFHE_SPEC)"
.PHONY: test_unsigned_integer_gpu_ci # Run the tests for unsigned integer ci on gpu backend
test_unsigned_integer_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --backend "gpu" \
--unsigned-only --tfhe-package "$(TFHE_SPEC)"
.PHONY: test_signed_integer_gpu_ci # Run the tests for signed integer ci on gpu backend
test_signed_integer_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --backend "gpu" \
--signed-only --tfhe-package "$(TFHE_SPEC)"
.PHONY: test_integer_multi_bit_gpu_ci # Run the tests for integer ci on gpu backend running only multibit tests
test_integer_multi_bit_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --backend "gpu" \
--tfhe-package "$(TFHE_SPEC)"
.PHONY: test_unsigned_integer_multi_bit_gpu_ci # Run the tests for unsigned integer ci on gpu backend running only multibit tests
test_unsigned_integer_multi_bit_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --backend "gpu" \
--unsigned-only --tfhe-package "$(TFHE_SPEC)"
.PHONY: test_signed_integer_multi_bit_gpu_ci # Run the tests for signed integer ci on gpu backend running only multibit tests
test_signed_integer_multi_bit_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --backend "gpu" \
--signed-only --tfhe-package "$(TFHE_SPEC)"
.PHONY: test_boolean # Run the tests of the boolean module
test_boolean: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
@@ -699,7 +527,6 @@ test_shortint_cov: install_rs_check_toolchain install_tarpaulin
test_integer_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --avx512-support "$(AVX512_SUPPORT)" \
--tfhe-package "$(TFHE_SPEC)"
@@ -708,7 +535,6 @@ test_integer_ci: install_rs_check_toolchain install_cargo_nextest
test_unsigned_integer_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --avx512-support "$(AVX512_SUPPORT)" \
--unsigned-only --tfhe-package "$(TFHE_SPEC)"
@@ -717,7 +543,6 @@ test_unsigned_integer_ci: install_rs_check_toolchain install_cargo_nextest
test_signed_integer_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --avx512-support "$(AVX512_SUPPORT)" \
--signed-only --tfhe-package "$(TFHE_SPEC)"
@@ -726,25 +551,22 @@ test_signed_integer_ci: install_rs_check_toolchain install_cargo_nextest
test_integer_multi_bit_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --avx512-support "$(AVX512_SUPPORT)" \
--tfhe-package "$(TFHE_SPEC)"
.PHONY: test_unsigned_integer_multi_bit_ci # Run the tests for unsigned integer ci running only multibit tests
.PHONY: test_unsigned_integer_multi_bit_ci # Run the tests for nsigned integer ci running only multibit tests
test_unsigned_integer_multi_bit_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --avx512-support "$(AVX512_SUPPORT)" \
--unsigned-only --tfhe-package "$(TFHE_SPEC)"
.PHONY: test_signed_integer_multi_bit_ci # Run the tests for signed integer ci running only multibit tests
.PHONY: test_signed_integer_multi_bit_ci # Run the tests for nsigned integer ci running only multibit tests
test_signed_integer_multi_bit_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --avx512-support "$(AVX512_SUPPORT)" \
--signed-only --tfhe-package "$(TFHE_SPEC)"
@@ -836,23 +658,16 @@ test_zk_pok: install_rs_build_toolchain
.PHONY: test_versionable # Run tests for tfhe-versionable subcrate
test_versionable: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--all-targets -p tfhe-versionable
-p tfhe-versionable
# The backward compat data repo holds historical binary data but also rust code to generate and load them.
# Here we use the "patch" functionality of Cargo to make sure the repo used for the data is the same as the one used for the code.
.PHONY: test_backward_compatibility_ci
test_backward_compatibility_ci: install_rs_build_toolchain
TFHE_BACKWARD_COMPAT_DATA_DIR="$(BACKWARD_COMPAT_DATA_DIR)" RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--config "patch.'$(BACKWARD_COMPAT_DATA_URL)'.$(BACKWARD_COMPAT_DATA_PROJECT).path=\"tfhe/$(BACKWARD_COMPAT_DATA_DIR)\"" \
--features=$(TARGET_ARCH_FEATURE),shortint,integer,zk-pok -p $(TFHE_SPEC) test_backward_compatibility -- --nocapture
--features=$(TARGET_ARCH_FEATURE),shortint,integer -p $(TFHE_SPEC) test_backward_compatibility -- --nocapture
.PHONY: test_backward_compatibility # Same as test_backward_compatibility_ci but tries to clone the data repo first if needed
test_backward_compatibility: tfhe/$(BACKWARD_COMPAT_DATA_DIR) test_backward_compatibility_ci
.PHONY: backward_compat_branch # Prints the required backward compatibility branch
backward_compat_branch:
@echo "$(BACKWARD_COMPAT_DATA_BRANCH)"
.PHONY: doc # Build rust doc
doc: install_rs_check_toolchain
@# Even though we are not in docs.rs, this allows to "just" build the doc
@@ -915,60 +730,38 @@ check_compile_tests_benches_gpu: install_rs_build_toolchain
mkdir -p "$(TFHECUDA_BUILD)" && \
cd "$(TFHECUDA_BUILD)" && \
cmake .. -DCMAKE_BUILD_TYPE=Debug -DTFHE_CUDA_BACKEND_BUILD_TESTS=ON -DTFHE_CUDA_BACKEND_BUILD_BENCHMARKS=ON && \
"$(MAKE)" -j "$(CPU_COUNT)"
make -j "$(CPU_COUNT)"
.PHONY: build_nodejs_test_docker # Build a docker image with tools to run nodejs tests for wasm API
build_nodejs_test_docker:
DOCKER_BUILDKIT=1 docker build --build-arg RUST_TOOLCHAIN="$(RS_BUILD_TOOLCHAIN)" \
-f docker/Dockerfile.wasm_tests --build-arg NODE_VERSION=$(NODE_VERSION) -t tfhe-wasm-tests .
.PHONY: test_nodejs_wasm_api_in_docker # Run tests for the nodejs on wasm API in a docker container
test_nodejs_wasm_api_in_docker: build_nodejs_test_docker
if [[ -t 1 ]]; then RUN_FLAGS="-it"; else RUN_FLAGS="-i"; fi && \
docker run --rm "$${RUN_FLAGS}" \
-v "$$(pwd)":/tfhe-wasm-tests/tfhe-rs \
-v tfhe-rs-root-target-cache:/root/tfhe-rs-target \
-v tfhe-rs-pkg-cache:/tfhe-wasm-tests/tfhe-rs/tfhe/pkg \
-v tfhe-rs-root-cargo-registry-cache:/root/.cargo/registry \
-v tfhe-rs-root-cache:/root/.cache \
tfhe-wasm-tests /bin/bash -i -c 'make test_nodejs_wasm_api'
.PHONY: test_nodejs_wasm_api # Run tests for the nodejs on wasm API
test_nodejs_wasm_api: build_node_js_api
cd tfhe/js_on_wasm_tests && npm install && npm run test
cd tfhe && node --test js_on_wasm_tests
.PHONY: test_nodejs_wasm_api_ci # Run tests for the nodejs on wasm API
test_nodejs_wasm_api_ci: build_node_js_api
.PHONY: test_web_js_api_parallel # Run tests for the web wasm api
test_web_js_api_parallel: build_web_js_api_parallel
$(MAKE) -C tfhe/web_wasm_parallel_tests test
.PHONY: test_web_js_api_parallel_ci # Run tests for the web wasm api
test_web_js_api_parallel_ci: build_web_js_api_parallel
source ~/.nvm/nvm.sh && \
nvm install $(NODE_VERSION) && \
nvm use $(NODE_VERSION) && \
$(MAKE) test_nodejs_wasm_api
# This is an internal target, not meant to be called on its own.
run_web_js_api_parallel: build_web_js_api_parallel setup_venv
cd $(WEB_SERVER_DIR) && npm install && npm run build
source venv/bin/activate && \
python ci/webdriver.py \
--browser-path $(browser_path) \
--driver-path $(driver_path) \
--browser-kind $(browser_kind) \
--server-cmd "npm run server" \
--server-workdir "$(WEB_SERVER_DIR)" \
--id-pattern $(filter)
test_web_js_api_parallel_chrome: browser_path = "$(WEB_RUNNER_DIR)/chrome/chrome-linux64/chrome"
test_web_js_api_parallel_chrome: driver_path = "$(WEB_RUNNER_DIR)/chrome/chromedriver-linux64/chromedriver"
test_web_js_api_parallel_chrome: browser_kind = chrome
test_web_js_api_parallel_chrome: filter = Test
.PHONY: test_web_js_api_parallel_chrome # Run tests for the web wasm api on Chrome
test_web_js_api_parallel_chrome: run_web_js_api_parallel
.PHONY: test_web_js_api_parallel_chrome_ci # Run tests for the web wasm api on Chrome
test_web_js_api_parallel_chrome_ci: setup_venv
source ~/.nvm/nvm.sh && \
nvm install $(NODE_VERSION) && \
nvm use $(NODE_VERSION) && \
$(MAKE) test_web_js_api_parallel_chrome
test_web_js_api_parallel_firefox: browser_path = "$(WEB_RUNNER_DIR)/firefox/firefox/firefox"
test_web_js_api_parallel_firefox: driver_path = "$(WEB_RUNNER_DIR)/firefox/geckodriver"
test_web_js_api_parallel_firefox: browser_kind = firefox
test_web_js_api_parallel_firefox: filter = Test
.PHONY: test_web_js_api_parallel_firefox # Run tests for the web wasm api on Firefox
test_web_js_api_parallel_firefox: run_web_js_api_parallel
.PHONY: test_web_js_api_parallel_firefox_ci # Run tests for the web wasm api on Firefox
test_web_js_api_parallel_firefox_ci: setup_venv
source ~/.nvm/nvm.sh && \
nvm install $(NODE_VERSION) && \
nvm use $(NODE_VERSION) && \
$(MAKE) test_web_js_api_parallel_firefox
$(MAKE) -C tfhe/web_wasm_parallel_tests test-ci
.PHONY: no_tfhe_typo # Check we did not invert the h and f in tfhe
no_tfhe_typo:
@@ -986,11 +779,6 @@ dieharder_csprng: install_dieharder build_concrete_csprng
# Benchmarks
#
.PHONY: print_doc_bench_parameters # Print parameters used in doc benchmarks
print_doc_bench_parameters:
RUSTFLAGS="" cargo run --example print_doc_bench_parameters \
--features=$(TARGET_ARCH_FEATURE),shortint,internal-keycache -p tfhe
.PHONY: bench_integer # Run benchmarks for unsigned integer
bench_integer: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" __TFHE_RS_BENCH_OP_FLAVOR=$(BENCH_OP_FLAVOR) __TFHE_RS_FAST_BENCH=$(FAST_BENCH) \
@@ -1012,18 +800,6 @@ bench_integer_gpu: install_rs_check_toolchain
--bench integer-bench \
--features=$(TARGET_ARCH_FEATURE),integer,gpu,internal-keycache,nightly-avx512 -p $(TFHE_SPEC) --
.PHONY: bench_integer_compression # Run benchmarks for unsigned integer compression
bench_integer_compression: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench glwe_packing_compression-integer-bench \
--features=$(TARGET_ARCH_FEATURE),integer,internal-keycache,nightly-avx512 -p $(TFHE_SPEC) --
.PHONY: bench_integer_compression_gpu
bench_integer_compression_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench glwe_packing_compression-integer-bench \
--features=$(TARGET_ARCH_FEATURE),integer,internal-keycache,gpu -p $(TFHE_SPEC) --
.PHONY: bench_integer_multi_bit # Run benchmarks for unsigned integer using multi-bit parameters
bench_integer_multi_bit: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" __TFHE_RS_BENCH_TYPE=MULTI_BIT \
@@ -1048,14 +824,6 @@ bench_integer_multi_bit_gpu: install_rs_check_toolchain
--bench integer-bench \
--features=$(TARGET_ARCH_FEATURE),integer,gpu,internal-keycache,nightly-avx512 -p $(TFHE_SPEC) --
.PHONY: bench_unsigned_integer_multi_bit_gpu # Run benchmarks for unsigned integer on GPU backend using multi-bit parameters
bench_unsigned_integer_multi_bit_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" __TFHE_RS_BENCH_TYPE=MULTI_BIT \
__TFHE_RS_BENCH_OP_FLAVOR=$(BENCH_OP_FLAVOR) __TFHE_RS_FAST_BENCH=$(FAST_BENCH) \
cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench integer-bench \
--features=$(TARGET_ARCH_FEATURE),integer,gpu,internal-keycache,nightly-avx512 -p $(TFHE_SPEC) -- ::unsigned
.PHONY: bench_integer_zk # Run benchmarks for integer encryption with ZK proofs
bench_integer_zk: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" \
@@ -1071,12 +839,16 @@ bench_shortint: install_rs_check_toolchain
--bench shortint-bench \
--features=$(TARGET_ARCH_FEATURE),shortint,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
.PHONY: bench_shortint_oprf # Run benchmarks for shortint
bench_shortint_oprf: install_rs_check_toolchain
.PHONY: bench_oprf # Run benchmarks for shortint
bench_oprf: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" \
cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench oprf-shortint-bench \
--features=$(TARGET_ARCH_FEATURE),shortint,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
RUSTFLAGS="$(RUSTFLAGS)" \
cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench oprf-integer-bench \
--features=$(TARGET_ARCH_FEATURE),integer,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
.PHONY: bench_shortint_multi_bit # Run benchmarks for shortint using multi-bit parameters
bench_shortint_multi_bit: install_rs_check_toolchain
@@ -1106,7 +878,7 @@ bench_pbs128: install_rs_check_toolchain
.PHONY: bench_pbs_gpu # Run benchmarks for PBS on GPU backend
bench_pbs_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" __TFHE_RS_FAST_BENCH=$(FAST_BENCH) cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench pbs-bench \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,gpu,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
@@ -1122,47 +894,15 @@ bench_ks_gpu: install_rs_check_toolchain
--bench ks-bench \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,gpu,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
bench_web_js_api_parallel_chrome: browser_path = "$(WEB_RUNNER_DIR)/chrome/chrome-linux64/chrome"
bench_web_js_api_parallel_chrome: driver_path = "$(WEB_RUNNER_DIR)/chrome/chromedriver-linux64/chromedriver"
bench_web_js_api_parallel_chrome: browser_kind = chrome
bench_web_js_api_parallel_chrome: filter = Bench
.PHONY: bench_web_js_api_parallel # Run benchmarks for the web wasm api
bench_web_js_api_parallel: build_web_js_api_parallel
$(MAKE) -C tfhe/web_wasm_parallel_tests bench
.PHONY: bench_web_js_api_parallel_chrome # Run benchmarks for the web wasm api
bench_web_js_api_parallel_chrome: run_web_js_api_parallel
.PHONY: bench_web_js_api_parallel_chrome_ci # Run benchmarks for the web wasm api
bench_web_js_api_parallel_chrome_ci: setup_venv
.PHONY: bench_web_js_api_parallel_ci # Run benchmarks for the web wasm api
bench_web_js_api_parallel_ci: build_web_js_api_parallel
source ~/.nvm/nvm.sh && \
nvm install $(NODE_VERSION) && \
nvm use $(NODE_VERSION) && \
$(MAKE) bench_web_js_api_parallel_chrome
bench_web_js_api_parallel_firefox: browser_path = "$(WEB_RUNNER_DIR)/firefox/firefox/firefox"
bench_web_js_api_parallel_firefox: driver_path = "$(WEB_RUNNER_DIR)/firefox/geckodriver"
bench_web_js_api_parallel_firefox: browser_kind = firefox
bench_web_js_api_parallel_firefox: filter = Bench
.PHONY: bench_web_js_api_parallel_firefox # Run benchmarks for the web wasm api
bench_web_js_api_parallel_firefox: run_web_js_api_parallel
.PHONY: bench_web_js_api_parallel_firefox_ci # Run benchmarks for the web wasm api
bench_web_js_api_parallel_firefox_ci: setup_venv
source ~/.nvm/nvm.sh && \
nvm install $(NODE_VERSION) && \
nvm use $(NODE_VERSION) && \
$(MAKE) bench_web_js_api_parallel_firefox
.PHONY: bench_hlapi_erc20 # Run benchmarks for ECR20 operations
bench_hlapi_erc20: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench hlapi-erc20 \
--features=$(TARGET_ARCH_FEATURE),integer,internal-keycache,pbs-stats,nightly-avx512 -p $(TFHE_SPEC) --
.PHONY: bench_hlapi_erc20_gpu # Run benchmarks for ECR20 operations on GPU
bench_hlapi_erc20_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench hlapi-erc20 \
--features=$(TARGET_ARCH_FEATURE),integer,gpu,internal-keycache,pbs-stats,nightly-avx512 -p $(TFHE_SPEC) --
nvm use node && \
$(MAKE) -C tfhe/web_wasm_parallel_tests bench-ci
#
# Utility tools
@@ -1172,8 +912,8 @@ bench_hlapi_erc20_gpu: install_rs_check_toolchain
gen_key_cache: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS) --cfg tarpaulin" cargo $(CARGO_RS_BUILD_TOOLCHAIN) run --profile $(CARGO_PROFILE) \
--example generates_test_keys \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,experimental,internal-keycache -p $(TFHE_SPEC) \
-- $(MULTI_BIT_ONLY) $(COVERAGE_ONLY)
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,internal-keycache -- \
$(MULTI_BIT_ONLY) $(COVERAGE_ONLY)
.PHONY: gen_key_cache_core_crypto # Run function to generate keys and cache them for core_crypto tests
gen_key_cache_core_crypto: install_rs_build_toolchain
@@ -1210,7 +950,7 @@ parse_wasm_benchmarks: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) run --profile $(CARGO_PROFILE) \
--example wasm_benchmarks_parser \
--features=$(TARGET_ARCH_FEATURE),shortint,internal-keycache \
-- wasm_benchmark_results.json
-- web_wasm_parallel_tests/test/benchmark_results
.PHONY: write_params_to_file # Gather all crypto parameters into a file with a Sage readable format.
write_params_to_file: install_rs_check_toolchain
@@ -1220,7 +960,7 @@ write_params_to_file: install_rs_check_toolchain
.PHONY: clone_backward_compat_data # Clone the data repo needed for backward compatibility tests
clone_backward_compat_data:
./scripts/clone_backward_compat_data.sh $(BACKWARD_COMPAT_DATA_URL) $(BACKWARD_COMPAT_DATA_BRANCH) tfhe/$(BACKWARD_COMPAT_DATA_DIR)
./scripts/clone_backward_compat_data.sh $(BACKWARD_COMPAT_DATA_URL) tfhe/$(BACKWARD_COMPAT_DATA_DIR)
tfhe/$(BACKWARD_COMPAT_DATA_DIR): clone_backward_compat_data
@@ -1249,14 +989,14 @@ sha256_bool: install_rs_check_toolchain
--features=$(TARGET_ARCH_FEATURE),boolean
.PHONY: pcc # pcc stands for pre commit checks (except GPU)
pcc: no_tfhe_typo no_dbg_log check_fmt check_typos lint_doc check_md_docs_are_tested check_intra_md_links \
clippy_all tfhe_lints check_compile_tests
pcc: no_tfhe_typo no_dbg_log check_fmt lint_doc check_md_docs_are_tested check_intra_md_links \
clippy_all check_compile_tests
.PHONY: pcc_gpu # pcc stands for pre commit checks for GPU compilation
pcc_gpu: clippy_gpu clippy_cuda_backend check_compile_tests_benches_gpu check_rust_bindings_did_not_change
pcc_gpu: clippy_gpu clippy_cuda_backend check_compile_tests_benches_gpu
.PHONY: fpcc # pcc stands for pre commit checks, the f stands for fast
fpcc: no_tfhe_typo no_dbg_log check_fmt check_typos lint_doc check_md_docs_are_tested clippy_fast \
fpcc: no_tfhe_typo no_dbg_log check_fmt lint_doc check_md_docs_are_tested clippy_fast \
check_compile_tests
.PHONY: conformance # Automatically fix problems that can be fixed

View File

@@ -159,7 +159,7 @@ To run this code, use the following command:
> Note that when running code that uses `TFHE-rs`, it is highly recommended
to run in release mode with cargo's `--release` flag to have the best performances possible.
*Find an example with more explanations in [this part of the documentation](https://docs.zama.ai/tfhe-rs/get-started/quick_start)*
*Find an example with more explanations in [this part of the documentation](https://docs.zama.ai/tfhe-rs/getting-started/quick_start)*
<p align="right">
<a href="#about" > ↑ Back to top </a>
@@ -208,7 +208,7 @@ When a new update is published in the Lattice Estimator, we update parameters ac
### Security model
The default parameters for the TFHE-rs library are chosen considering the IND-CPA security model, and are selected with a bootstrapping failure probability fixed at p_error = $2^{-64}$. In particular, it is assumed that the results of decrypted computations are not shared by the secret key owner with any third parties, as such an action can lead to leakage of the secret encryption key. If you are designing an application where decryptions must be shared, you will need to craft custom encryption parameters which are chosen in consideration of the IND-CPA^D security model [1].
The default parameters for the TFHE-rs library are chosen considering the IND-CPA security model, and are selected with a bootstrapping failure probability fixed at p_error = $2^{-40}$. In particular, it is assumed that the results of decrypted computations are not shared by the secret key owner with any third parties, as such an action can lead to leakage of the secret encryption key. If you are designing an application where decryptions must be shared, you will need to craft custom encryption parameters which are chosen in consideration of the IND-CPA^D security model [1].
[1] Li, Baiyu, et al. "Securing approximate homomorphic encryption using differential privacy." Annual International Cryptology Conference. Cham: Springer Nature Switzerland, 2022. https://eprint.iacr.org/2022/816.pdf

View File

@@ -1,15 +0,0 @@
[default]
extend-ignore-identifiers-re = [
# Related to serialized object
"ser",
"unser",
# Used when dumping tfhe-rs parameters set into Sage format
"ND.*",
# Related to FHE strings example handling "banana"
"ba",
"enc_ba",
# Example with string replacing "hello" with "herlo"
"herlo",
# Example in trivium
"C9217BA0D762ACA1"
]

View File

@@ -7,7 +7,7 @@ using multithreading to accelerate the computation.
Quite similarly, the function `TriviumStream::<FheBool>::new` will return a very similar object running in FHE space. Its arguments are
2 arrays of 80 FheBool representing the encrypted Trivium key, and the encrypted IV. It also requires a reference to the server key of the
2 arrays of 80 FheBool representing the encrypted Trivium key, and the encrypted IV. It also requires a reference to the the server key of the
current scheme. This means that any user of this feature must also have the `tfhe-rs` crate as a dependency.

View File

@@ -4,8 +4,9 @@ use tfhe::{generate_keys, ConfigBuilder, FheUint64, FheUint8};
use tfhe_trivium::{KreyviumStreamByte, TransCiphering};
pub fn kreyvium_byte_gen(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::default()
.enable_function_evaluation()
.build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB000000000000".to_string();
@@ -32,8 +33,9 @@ pub fn kreyvium_byte_gen(c: &mut Criterion) {
}
pub fn kreyvium_byte_trans(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::default()
.enable_function_evaluation()
.build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB000000000000".to_string();
@@ -61,8 +63,9 @@ pub fn kreyvium_byte_trans(c: &mut Criterion) {
}
pub fn kreyvium_byte_warmup(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::default()
.enable_function_evaluation()
.build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB000000000000".to_string();

View File

@@ -1,6 +1,5 @@
use criterion::Criterion;
use tfhe::prelude::*;
use tfhe::shortint::parameters::PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64;
use tfhe::shortint::prelude::*;
use tfhe::{generate_keys, ConfigBuilder, FheUint64};
use tfhe_trivium::{KreyviumStreamShortint, TransCiphering};
@@ -11,8 +10,7 @@ pub fn kreyvium_shortint_warmup(c: &mut Criterion) {
let underlying_ck: tfhe::shortint::ClientKey = (*hl_client_key.as_ref()).clone().into();
let underlying_sk: tfhe::shortint::ServerKey = (*hl_server_key.as_ref()).clone().into();
let (client_key, server_key): (ClientKey, ServerKey) =
gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64);
let (client_key, server_key): (ClientKey, ServerKey) = gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS);
let ksk = KeySwitchingKey::new(
(&client_key, Some(&server_key)),
@@ -62,8 +60,7 @@ pub fn kreyvium_shortint_gen(c: &mut Criterion) {
let underlying_ck: tfhe::shortint::ClientKey = (*hl_client_key.as_ref()).clone().into();
let underlying_sk: tfhe::shortint::ServerKey = (*hl_server_key.as_ref()).clone().into();
let (client_key, server_key): (ClientKey, ServerKey) =
gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64);
let (client_key, server_key): (ClientKey, ServerKey) = gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS);
let ksk = KeySwitchingKey::new(
(&client_key, Some(&server_key)),
@@ -108,8 +105,7 @@ pub fn kreyvium_shortint_trans(c: &mut Criterion) {
let underlying_ck: tfhe::shortint::ClientKey = (*hl_client_key.as_ref()).clone().into();
let underlying_sk: tfhe::shortint::ServerKey = (*hl_server_key.as_ref()).clone().into();
let (client_key, server_key): (ClientKey, ServerKey) =
gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64);
let (client_key, server_key): (ClientKey, ServerKey) = gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS);
let ksk = KeySwitchingKey::new(
(&client_key, Some(&server_key)),

View File

@@ -1,6 +1,5 @@
use criterion::Criterion;
use tfhe::prelude::*;
use tfhe::shortint::parameters::PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64;
use tfhe::shortint::prelude::*;
use tfhe::{generate_keys, ConfigBuilder, FheUint64};
use tfhe_trivium::{TransCiphering, TriviumStreamShortint};
@@ -11,8 +10,7 @@ pub fn trivium_shortint_warmup(c: &mut Criterion) {
let underlying_ck: tfhe::shortint::ClientKey = (*hl_client_key.as_ref()).clone().into();
let underlying_sk: tfhe::shortint::ServerKey = (*hl_server_key.as_ref()).clone().into();
let (client_key, server_key): (ClientKey, ServerKey) =
gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64);
let (client_key, server_key): (ClientKey, ServerKey) = gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS);
let ksk = KeySwitchingKey::new(
(&client_key, Some(&server_key)),
@@ -62,8 +60,7 @@ pub fn trivium_shortint_gen(c: &mut Criterion) {
let underlying_ck: tfhe::shortint::ClientKey = (*hl_client_key.as_ref()).clone().into();
let underlying_sk: tfhe::shortint::ServerKey = (*hl_server_key.as_ref()).clone().into();
let (client_key, server_key): (ClientKey, ServerKey) =
gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64);
let (client_key, server_key): (ClientKey, ServerKey) = gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS);
let ksk = KeySwitchingKey::new(
(&client_key, Some(&server_key)),
@@ -108,8 +105,7 @@ pub fn trivium_shortint_trans(c: &mut Criterion) {
let underlying_ck: tfhe::shortint::ClientKey = (*hl_client_key.as_ref()).clone().into();
let underlying_sk: tfhe::shortint::ServerKey = (*hl_server_key.as_ref()).clone().into();
let (client_key, server_key): (ClientKey, ServerKey) =
gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64);
let (client_key, server_key): (ClientKey, ServerKey) = gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS);
let ksk = KeySwitchingKey::new(
(&client_key, Some(&server_key)),

View File

@@ -148,9 +148,10 @@ where
/// Computes one turn of the stream, updating registers and outputting the new bit.
pub fn next_bool(&mut self) -> T {
if let Some(sk) = &self.fhe_key {
set_server_key(sk.clone());
}
match &self.fhe_key {
Some(sk) => set_server_key(sk.clone()),
None => (),
};
let [o, a, b, c] = self.get_output_and_values(0);
@@ -225,12 +226,18 @@ where
/// Computes 64 turns of the stream, outputting the 64 bits all at once in a
/// Vec (first value is oldest, last is newest)
pub fn next_64(&mut self) -> Vec<T> {
if let Some(sk) = &self.fhe_key {
rayon::broadcast(|_| set_server_key(sk.clone()));
match &self.fhe_key {
Some(sk) => {
rayon::broadcast(|_| set_server_key(sk.clone()));
}
None => (),
}
let mut values = self.get_64_output_and_values();
if self.fhe_key.is_some() {
rayon::broadcast(|_| unset_server_key());
match &self.fhe_key {
Some(_) => {
rayon::broadcast(|_| unset_server_key());
}
None => (),
}
let mut ret = Vec::<T>::with_capacity(64);

View File

@@ -119,7 +119,7 @@ impl KreyviumStreamByte<FheUint8> {
}
// Key and iv are stored in reverse in their shift registers
let mut key = key_bytes.map(|b| b.reverse_bits());
let mut key = key_bytes.map(|b| b.map(|x| (x as u8).reverse_bits() as u64));
let mut iv = iv_bytes.map(|x| FheUint8::encrypt_trivial(x.reverse_bits()));
key.reverse();
iv.reverse();
@@ -237,12 +237,18 @@ where
/// Computes 64 turns of the stream, outputting the 64 bits (in 8 bytes) all at once in a
/// Vec (first value is oldest, last is newest)
pub fn next_64(&mut self) -> Vec<T> {
if let Some(sk) = &self.fhe_key {
rayon::broadcast(|_| set_server_key(sk.clone()));
match &self.fhe_key {
Some(sk) => {
rayon::broadcast(|_| set_server_key(sk.clone()));
}
None => (),
}
let values = self.get_64_output_and_values();
if self.fhe_key.is_some() {
rayon::broadcast(|_| unset_server_key());
match &self.fhe_key {
Some(_) => {
rayon::broadcast(|_| unset_server_key());
}
None => (),
}
let mut bytes = Vec::<T>::with_capacity(8);

View File

@@ -1,7 +1,7 @@
use crate::{KreyviumStream, KreyviumStreamByte, KreyviumStreamShortint, TransCiphering};
use tfhe::prelude::*;
use tfhe::shortint::parameters::PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64;
use tfhe::{generate_keys, ConfigBuilder, FheBool, FheUint64, FheUint8};
// Values for these tests come from the github repo renaud1239/Kreyvium,
// commit fd6828f68711276c25f55e605935028f5e843f43
@@ -221,8 +221,7 @@ fn kreyvium_test_shortint_long() {
let underlying_ck: tfhe::shortint::ClientKey = (*hl_client_key.as_ref()).clone().into();
let underlying_sk: tfhe::shortint::ServerKey = (*hl_server_key.as_ref()).clone().into();
let (client_key, server_key): (ClientKey, ServerKey) =
gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64);
let (client_key, server_key): (ClientKey, ServerKey) = gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS);
let ksk = KeySwitchingKey::new(
(&client_key, Some(&server_key)),
@@ -300,8 +299,9 @@ fn kreyvium_test_clear_byte() {
#[test]
fn kreyvium_test_byte_long() {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::default()
.enable_function_evaluation()
.build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB000000000000".to_string();
@@ -338,8 +338,9 @@ fn kreyvium_test_byte_long() {
#[test]
fn kreyvium_test_fhe_byte_transciphering_long() {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::default()
.enable_function_evaluation()
.build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB000000000000".to_string();

View File

@@ -1,5 +1,3 @@
#![allow(clippy::too_long_first_doc_paragraph)]
mod static_deque;
mod kreyvium;

View File

@@ -1,7 +1,7 @@
use crate::{TransCiphering, TriviumStream, TriviumStreamByte, TriviumStreamShortint};
use tfhe::prelude::*;
use tfhe::shortint::parameters::PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64;
use tfhe::{generate_keys, ConfigBuilder, FheBool, FheUint64, FheUint8};
// Values for these tests come from the github repo cantora/avr-crypto-lib, commit 2a5b018,
// file testvectors/trivium-80.80.test-vectors
@@ -357,8 +357,7 @@ fn trivium_test_shortint_long() {
let underlying_ck: tfhe::shortint::ClientKey = (*hl_client_key.as_ref()).clone().into();
let underlying_sk: tfhe::shortint::ServerKey = (*hl_server_key.as_ref()).clone().into();
let (client_key, server_key): (ClientKey, ServerKey) =
gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS_GAUSSIAN_2M64);
let (client_key, server_key): (ClientKey, ServerKey) = gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS);
let ksk = KeySwitchingKey::new(
(&client_key, Some(&server_key)),

View File

@@ -120,9 +120,10 @@ where
/// Computes one turn of the stream, updating registers and outputting the new bit.
pub fn next_bool(&mut self) -> T {
if let Some(sk) = &self.fhe_key {
set_server_key(sk.clone());
}
match &self.fhe_key {
Some(sk) => set_server_key(sk.clone()),
None => (),
};
let [o, a, b, c] = self.get_output_and_values(0);
@@ -195,12 +196,18 @@ where
/// Computes 64 turns of the stream, outputting the 64 bits all at once in a
/// Vec (first value is oldest, last is newest)
pub fn next_64(&mut self) -> Vec<T> {
if let Some(sk) = &self.fhe_key {
rayon::broadcast(|_| set_server_key(sk.clone()));
match &self.fhe_key {
Some(sk) => {
rayon::broadcast(|_| set_server_key(sk.clone()));
}
None => (),
}
let mut values = self.get_64_output_and_values();
if self.fhe_key.is_some() {
rayon::broadcast(|_| unset_server_key());
match &self.fhe_key {
Some(_) => {
rayon::broadcast(|_| unset_server_key());
}
None => (),
}
let mut ret = Vec::<T>::with_capacity(64);

View File

@@ -187,12 +187,18 @@ where
/// Computes 64 turns of the stream, outputting the 64 bits (in 8 bytes) all at once in a
/// Vec (first value is oldest, last is newest)
pub fn next_64(&mut self) -> Vec<T> {
if let Some(sk) = &self.fhe_key {
rayon::broadcast(|_| set_server_key(sk.clone()));
match &self.fhe_key {
Some(sk) => {
rayon::broadcast(|_| set_server_key(sk.clone()));
}
None => (),
}
let values = self.get_64_output_and_values();
if self.fhe_key.is_some() {
rayon::broadcast(|_| unset_server_key());
match &self.fhe_key {
Some(_) => {
rayon::broadcast(|_| unset_server_key());
}
None => (),
}
let mut bytes = Vec::<T>::with_capacity(8);

View File

@@ -1,6 +1,6 @@
[package]
name = "tfhe-cuda-backend"
version = "0.5.0"
version = "0.3.0"
edition = "2021"
authors = ["Zama team"]
license = "BSD-3-Clause-Clear"
@@ -14,4 +14,3 @@ keywords = ["fully", "homomorphic", "encryption", "fhe", "cryptography"]
[build-dependencies]
cmake = { version = "0.1" }
pkg-config = { version = "0.3" }
bindgen = "0.70.1"

View File

@@ -1,33 +1,20 @@
use std::path::PathBuf;
use std::env;
use std::process::Command;
fn main() {
if let Ok(val) = std::env::var("DOCS_RS") {
if let Ok(val) = env::var("DOCS_RS") {
if val.parse::<u32>() == Ok(1) {
return;
}
}
// This is a workaround to the current nightly toolchain (2024-06-27 which started with
// toolchain 2024-05-05) build issue
// Essentially if cbindgen is running, a wrong argument ends up forwarded to the cuda backend
// "make" command during macro expansions for TFHE-rs C API, crashing make for make < 4.4 and
// thus crashing the build
// On the other hand, this speeds up C API build greatly given we don't have macro expansions
// in the CUDA backend so this skips the second compilation of TFHE-rs for macro inspection by
// cbindgen
if std::env::var("_CBINDGEN_IS_RUNNING").is_ok() {
return;
}
println!("Build tfhe-cuda-backend");
println!("cargo::rerun-if-changed=cuda/include");
println!("cargo::rerun-if-changed=cuda/src");
println!("cargo::rerun-if-changed=cuda/tests_and_benchmarks");
println!("cargo::rerun-if-changed=cuda/CMakeLists.txt");
println!("cargo::rerun-if-changed=src");
if std::env::consts::OS == "linux" {
if env::consts::OS == "linux" {
let output = Command::new("./get_os_name.sh").output().unwrap();
let distribution = String::from_utf8(output.stdout).unwrap();
if distribution != "Ubuntu\n" {
@@ -36,7 +23,6 @@ fn main() {
Only Ubuntu is supported by tfhe-cuda-backend at this time. Build may fail\n"
);
}
let dest = cmake::build("cuda");
println!("cargo:rustc-link-search=native={}", dest.display());
println!("cargo:rustc-link-lib=static=tfhe_cuda_backend");
@@ -53,57 +39,6 @@ fn main() {
println!("cargo:rustc-link-lib=cudart");
println!("cargo:rustc-link-search=native=/usr/lib/x86_64-linux-gnu/");
println!("cargo:rustc-link-lib=stdc++");
let header_path = "wrapper.h";
let headers = vec![
"wrapper.h",
"cuda/include/ciphertext.h",
"cuda/include/integer/compression/compression.h",
"cuda/include/integer/integer.h",
"cuda/include/keyswitch.h",
"cuda/include/linear_algebra.h",
"cuda/include/pbs/programmable_bootstrap.h",
"cuda/include/pbs/programmable_bootstrap_multibit.h",
];
let out_path = PathBuf::from("src").join("bindings.rs");
let bindings_modified = if out_path.exists() {
std::fs::metadata(&out_path).unwrap().modified().unwrap()
} else {
std::time::SystemTime::UNIX_EPOCH // If bindings file doesn't exist, consider it older
};
let mut headers_modified = bindings_modified;
for header in headers {
println!("cargo:rerun-if-changed={}", header);
// Check modification times
let header_modified = std::fs::metadata(header).unwrap().modified().unwrap();
if header_modified > headers_modified {
headers_modified = header_modified;
}
}
// Regenerate bindings only if header has been modified
if headers_modified > bindings_modified {
let bindings = bindgen::Builder::default()
.header(header_path)
// allow only what we are interested in, the custom types appearing in the interface
.allowlist_type("PBS_TYPE")
.allowlist_type("SHIFT_OR_ROTATE_TYPE")
// and the functions reachable from the headers included in wrapper.h
.allowlist_function(".*")
.clang_arg("-x")
.clang_arg("c++")
.clang_arg("-std=c++17")
.clang_arg("-I/usr/include")
.clang_arg("-I/usr/local/include")
.ctypes_prefix("ffi")
.raw_line("use crate::ffi;")
.generate()
.expect("Unable to generate bindings");
bindings
.write_to_file(&out_path)
.expect("Couldn't write bindings!");
}
} else {
panic!(
"Error: platform not supported, tfhe-cuda-backend not built (only Linux is supported)"

View File

@@ -67,21 +67,9 @@ endif()
add_compile_definitions(CUDA_ARCH=${CUDA_ARCH})
# Check if the DEBUG flag is defined
if(CMAKE_BUILD_TYPE STREQUAL "Debug")
# Debug mode
message("Compiling in Debug mode")
add_definitions(-DDEBUG)
set(OPTIMIZATION_FLAGS "${OPTIMIZATION_FLAGS} -O0 -G -g")
else()
# Release mode
message("Compiling in Release mode")
set(OPTIMIZATION_FLAGS "${OPTIMIZATION_FLAGS} -O3")
endif()
# in production, should use -arch=sm_70 --ptxas-options=-v to see register spills -lineinfo for better debugging
set(CMAKE_CUDA_FLAGS
"${CMAKE_CUDA_FLAGS} -ccbin ${CMAKE_CXX_COMPILER} ${OPTIMIZATION_FLAGS}\
"${CMAKE_CUDA_FLAGS} -ccbin ${CMAKE_CXX_COMPILER} -O3 \
-std=c++17 --no-exceptions --expt-relaxed-constexpr -rdc=true \
--use_fast_math -Xcompiler -fPIC")

View File

@@ -1,24 +1,18 @@
#ifndef CUDA_CIPHERTEXT_H
#define CUDA_CIPHERTEXT_H
#include "stdint.h"
#include <cstdint>
extern "C" {
void cuda_convert_lwe_ciphertext_vector_to_gpu_64(void *stream,
uint32_t gpu_index,
void *dest, void const *src,
void *dest, void *src,
uint32_t number_of_cts,
uint32_t lwe_dimension);
void cuda_convert_lwe_ciphertext_vector_to_cpu_64(void *stream,
uint32_t gpu_index,
void *dest, void const *src,
void *dest, void *src,
uint32_t number_of_cts,
uint32_t lwe_dimension);
void cuda_glwe_sample_extract_64(void *stream, uint32_t gpu_index,
void *lwe_array_out, void const *glwe_array_in,
uint32_t const *nth_array, uint32_t num_nths,
uint32_t glwe_dimension,
uint32_t polynomial_size);
}
};
#endif

View File

@@ -39,15 +39,16 @@ void *cuda_malloc_async(uint64_t size, cudaStream_t stream, uint32_t gpu_index);
void cuda_check_valid_malloc(uint64_t size, uint32_t gpu_index);
bool cuda_check_support_cooperative_groups();
bool cuda_check_support_thread_block_clusters();
void cuda_memcpy_async_to_gpu(void *dest, void *src, uint64_t size,
cudaStream_t stream, uint32_t gpu_index);
void cuda_memcpy_async_gpu_to_gpu(void *dest, void const *src, uint64_t size,
void cuda_memcpy_async_gpu_to_gpu(void *dest, void *src, uint64_t size,
cudaStream_t stream, uint32_t gpu_index);
void cuda_memcpy_gpu_to_gpu(void *dest, void *src, uint64_t size,
uint32_t gpu_index);
void cuda_memcpy_async_to_cpu(void *dest, const void *src, uint64_t size,
cudaStream_t stream, uint32_t gpu_index);
@@ -61,13 +62,15 @@ void cuda_synchronize_device(uint32_t gpu_index);
void cuda_drop(void *ptr, uint32_t gpu_index);
void cuda_drop_async(void *ptr, cudaStream_t stream, uint32_t gpu_index);
}
int cuda_get_max_shared_memory(uint32_t gpu_index);
bool cuda_check_support_cooperative_groups();
void cuda_stream_add_callback(cudaStream_t stream, uint32_t gpu_index,
cudaStreamCallback_t callback, void *user_data);
}
bool cuda_check_support_thread_block_clusters();
void host_free_on_stream_callback(cudaStream_t stream, cudaError_t status,
void *host_pointer);
template <typename Torus>
void cuda_set_value_async(cudaStream_t stream, uint32_t gpu_index,

View File

@@ -1,30 +1,14 @@
#ifndef HELPER_MULTI_GPU_H
#define HELPER_MULTI_GPU_H
#include <mutex>
#include <variant>
#include <vector>
extern std::mutex m;
extern bool p2p_enabled;
extern "C" {
int32_t cuda_setup_multi_gpu();
int cuda_setup_multi_gpu();
}
// Define a variant type that can be either a vector or a single pointer
template <typename Torus>
using LweArrayVariant = std::variant<std::vector<Torus *>, Torus *>;
// Macro to define the visitor logic using std::holds_alternative for vectors
#define GET_VARIANT_ELEMENT(variant, index) \
[&] { \
if (std::holds_alternative<std::vector<Torus *>>(variant)) { \
return std::get<std::vector<Torus *>>(variant)[index]; \
} else { \
return std::get<Torus *>(variant); \
} \
}()
int get_active_gpu_count(int num_inputs, int gpu_count);
int get_num_inputs_on_gpu(int total_num_inputs, int gpu_index, int gpu_count);

View File

@@ -1,45 +0,0 @@
#ifndef CUDA_INTEGER_COMPRESSION_H
#define CUDA_INTEGER_COMPRESSION_H
#include "../../pbs/pbs_enums.h"
extern "C" {
void scratch_cuda_integer_compress_radix_ciphertext_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t compression_glwe_dimension,
uint32_t compression_polynomial_size, uint32_t lwe_dimension,
uint32_t ks_level, uint32_t ks_base_log, uint32_t num_radix_blocks,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
uint32_t lwe_per_glwe, uint32_t storage_log_modulus,
bool allocate_gpu_memory);
void scratch_cuda_integer_decompress_radix_ciphertext_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t encryption_glwe_dimension,
uint32_t encryption_polynomial_size, uint32_t compression_glwe_dimension,
uint32_t compression_polynomial_size, uint32_t lwe_dimension,
uint32_t pbs_level, uint32_t pbs_base_log, uint32_t num_radix_blocks,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
uint32_t storage_log_modulus, uint32_t body_count,
bool allocate_gpu_memory);
void cuda_integer_compress_radix_ciphertext_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *glwe_array_out, void const *lwe_array_in, void *const *fp_ksk,
uint32_t num_nths, int8_t *mem_ptr);
void cuda_integer_decompress_radix_ciphertext_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array_out, void const *glwe_in, uint32_t const *indexes_array,
uint32_t indexes_array_size, void *const *bsks, int8_t *mem_ptr);
void cleanup_cuda_integer_compress_radix_ciphertext_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr_void);
void cleanup_cuda_integer_decompress_radix_ciphertext_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr_void);
}
#endif

View File

@@ -1,124 +0,0 @@
#ifndef CUDA_INTEGER_COMPRESSION_UTILITIES_H
#define CUDA_INTEGER_COMPRESSION_UTILITIES_H
#include "../integer_utilities.h"
template <typename Torus> struct int_compression {
int_radix_params compression_params;
uint32_t storage_log_modulus;
uint32_t lwe_per_glwe;
uint32_t body_count;
// Compression
int8_t *fp_ks_buffer;
Torus *tmp_lwe;
Torus *tmp_glwe_array_out;
int_compression(cudaStream_t const *streams, uint32_t const *gpu_indexes,
uint32_t gpu_count, int_radix_params compression_params,
uint32_t num_radix_blocks, uint32_t lwe_per_glwe,
uint32_t storage_log_modulus, bool allocate_gpu_memory) {
this->compression_params = compression_params;
this->lwe_per_glwe = lwe_per_glwe;
this->storage_log_modulus = storage_log_modulus;
this->body_count = num_radix_blocks;
if (allocate_gpu_memory) {
Torus glwe_accumulator_size = (compression_params.glwe_dimension + 1) *
compression_params.polynomial_size;
tmp_lwe = (Torus *)cuda_malloc_async(
num_radix_blocks * (compression_params.small_lwe_dimension + 1) *
sizeof(Torus),
streams[0], gpu_indexes[0]);
tmp_glwe_array_out = (Torus *)cuda_malloc_async(
lwe_per_glwe * glwe_accumulator_size * sizeof(Torus), streams[0],
gpu_indexes[0]);
scratch_packing_keyswitch_lwe_list_to_glwe_64(
streams[0], gpu_indexes[0], &fp_ks_buffer,
compression_params.glwe_dimension, compression_params.polynomial_size,
num_radix_blocks, true);
}
}
void release(cudaStream_t const *streams, uint32_t const *gpu_indexes,
uint32_t gpu_count) {
cuda_drop_async(tmp_lwe, streams[0], gpu_indexes[0]);
cuda_drop_async(tmp_glwe_array_out, streams[0], gpu_indexes[0]);
cleanup_packing_keyswitch_lwe_list_to_glwe(streams[0], gpu_indexes[0],
&fp_ks_buffer);
}
};
template <typename Torus> struct int_decompression {
int_radix_params encryption_params;
int_radix_params compression_params;
uint32_t storage_log_modulus;
uint32_t num_radix_blocks;
uint32_t body_count;
Torus *tmp_extracted_glwe;
Torus *tmp_extracted_lwe;
uint32_t *tmp_indexes_array;
int_radix_lut<Torus> *carry_extract_lut;
int_decompression(cudaStream_t const *streams, uint32_t const *gpu_indexes,
uint32_t gpu_count, int_radix_params encryption_params,
int_radix_params compression_params,
uint32_t num_radix_blocks, uint32_t body_count,
uint32_t storage_log_modulus, bool allocate_gpu_memory) {
this->encryption_params = encryption_params;
this->compression_params = compression_params;
this->storage_log_modulus = storage_log_modulus;
this->num_radix_blocks = num_radix_blocks;
this->body_count = body_count;
if (allocate_gpu_memory) {
Torus glwe_accumulator_size = (compression_params.glwe_dimension + 1) *
compression_params.polynomial_size;
Torus lwe_accumulator_size = (compression_params.glwe_dimension *
compression_params.polynomial_size +
1);
carry_extract_lut = new int_radix_lut<Torus>(
streams, gpu_indexes, gpu_count, encryption_params, 1,
num_radix_blocks, allocate_gpu_memory);
tmp_extracted_glwe = (Torus *)cuda_malloc_async(
num_radix_blocks * glwe_accumulator_size * sizeof(Torus), streams[0],
gpu_indexes[0]);
tmp_indexes_array = (uint32_t *)cuda_malloc_async(
num_radix_blocks * sizeof(uint32_t), streams[0], gpu_indexes[0]);
tmp_extracted_lwe = (Torus *)cuda_malloc_async(
num_radix_blocks * lwe_accumulator_size * sizeof(Torus), streams[0],
gpu_indexes[0]);
// Carry extract LUT
auto carry_extract_f = [encryption_params](Torus x) -> Torus {
return x / encryption_params.message_modulus;
};
generate_device_accumulator<Torus>(
streams[0], gpu_indexes[0],
carry_extract_lut->get_lut(gpu_indexes[0], 0),
encryption_params.glwe_dimension, encryption_params.polynomial_size,
encryption_params.message_modulus, encryption_params.carry_modulus,
carry_extract_f);
carry_extract_lut->broadcast_lut(streams, gpu_indexes, gpu_indexes[0]);
}
}
void release(cudaStream_t const *streams, uint32_t const *gpu_indexes,
uint32_t gpu_count) {
cuda_drop_async(tmp_extracted_glwe, streams[0], gpu_indexes[0]);
cuda_drop_async(tmp_extracted_lwe, streams[0], gpu_indexes[0]);
cuda_drop_async(tmp_indexes_array, streams[0], gpu_indexes[0]);
carry_extract_lut->release(streams, gpu_indexes, gpu_count);
delete carry_extract_lut;
}
};
#endif

View File

@@ -1,462 +0,0 @@
#ifndef CUDA_INTEGER_H
#define CUDA_INTEGER_H
#include "../pbs/pbs_enums.h"
#include <stdint.h>
enum OUTPUT_CARRY { NONE = 0, GENERATED = 1, PROPAGATED = 2 };
enum SHIFT_OR_ROTATE_TYPE {
LEFT_SHIFT = 0,
RIGHT_SHIFT = 1,
LEFT_ROTATE = 2,
RIGHT_ROTATE = 3
};
enum BITOP_TYPE {
BITAND = 0,
BITOR = 1,
BITXOR = 2,
SCALAR_BITAND = 3,
SCALAR_BITOR = 4,
SCALAR_BITXOR = 5,
};
enum COMPARISON_TYPE {
EQ = 0,
NE = 1,
GT = 2,
GE = 3,
LT = 4,
LE = 5,
MAX = 6,
MIN = 7,
};
enum CMP_ORDERING { IS_INFERIOR = 0, IS_EQUAL = 1, IS_SUPERIOR = 2 };
enum SIGNED_OPERATION { ADDITION = 1, SUBTRACTION = -1 };
extern "C" {
void scratch_cuda_apply_univariate_lut_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, void const *input_lut, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t input_lwe_ciphertext_count,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
bool allocate_gpu_memory);
void cuda_apply_univariate_lut_kb_64(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count, void *output_radix_lwe,
void const *input_radix_lwe,
int8_t *mem_ptr, void *const *ksks,
void *const *bsks, uint32_t num_blocks);
void cleanup_cuda_apply_univariate_lut_kb_64(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_apply_bivariate_lut_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, void const *input_lut, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t input_lwe_ciphertext_count,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
bool allocate_gpu_memory);
void cuda_apply_bivariate_lut_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *output_radix_lwe, void const *input_radix_lwe_1,
void const *input_radix_lwe_2, int8_t *mem_ptr, void *const *ksks,
void *const *bsks, uint32_t num_blocks, uint32_t shift);
void cleanup_cuda_apply_bivariate_lut_kb_64(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void cuda_apply_many_univariate_lut_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *output_radix_lwe, void const *input_radix_lwe, int8_t *mem_ptr,
void *const *ksks, void *const *bsks, uint32_t num_blocks,
uint32_t num_luts, uint32_t lut_stride);
void scratch_cuda_full_propagation_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t ks_level, uint32_t ks_base_log,
uint32_t pbs_level, uint32_t pbs_base_log, uint32_t grouping_factor,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
bool allocate_gpu_memory);
void cuda_full_propagation_64_inplace(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count, void *input_blocks,
int8_t *mem_ptr, void *const *ksks,
void *const *bsks, uint32_t num_blocks);
void cleanup_cuda_full_propagation(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count, int8_t **mem_ptr_void);
void scratch_cuda_integer_mult_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t message_modulus, uint32_t carry_modulus,
uint32_t glwe_dimension, uint32_t lwe_dimension, uint32_t polynomial_size,
uint32_t pbs_base_log, uint32_t pbs_level, uint32_t ks_base_log,
uint32_t ks_level, uint32_t grouping_factor, uint32_t num_blocks,
PBS_TYPE pbs_type, bool allocate_gpu_memory);
void cuda_integer_mult_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *radix_lwe_out, void const *radix_lwe_left,
void const *radix_lwe_right, void *const *bsks, void *const *ksks,
int8_t *mem_ptr, uint32_t polynomial_size, uint32_t num_blocks);
void cleanup_cuda_integer_mult(void *const *streams,
uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr_void);
void cuda_negate_integer_radix_ciphertext_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array_out, void const *lwe_array_in, uint32_t lwe_dimension,
uint32_t lwe_ciphertext_count, uint32_t message_modulus,
uint32_t carry_modulus);
void cuda_scalar_addition_integer_radix_ciphertext_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array, void const *scalar_input, uint32_t lwe_dimension,
uint32_t lwe_ciphertext_count, uint32_t message_modulus,
uint32_t carry_modulus);
void scratch_cuda_integer_radix_logical_scalar_shift_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_blocks, uint32_t message_modulus,
uint32_t carry_modulus, PBS_TYPE pbs_type, SHIFT_OR_ROTATE_TYPE shift_type,
bool allocate_gpu_memory);
void cuda_integer_radix_logical_scalar_shift_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array, uint32_t shift, int8_t *mem_ptr, void *const *bsks,
void *const *ksks, uint32_t num_blocks);
void scratch_cuda_integer_radix_arithmetic_scalar_shift_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_blocks, uint32_t message_modulus,
uint32_t carry_modulus, PBS_TYPE pbs_type, SHIFT_OR_ROTATE_TYPE shift_type,
bool allocate_gpu_memory);
void cuda_integer_radix_arithmetic_scalar_shift_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array, uint32_t shift, int8_t *mem_ptr, void *const *bsks,
void *const *ksks, uint32_t num_blocks);
void cleanup_cuda_integer_radix_logical_scalar_shift(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr_void);
void cleanup_cuda_integer_radix_arithmetic_scalar_shift(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_integer_radix_shift_and_rotate_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_blocks, uint32_t message_modulus,
uint32_t carry_modulus, PBS_TYPE pbs_type, SHIFT_OR_ROTATE_TYPE shift_type,
bool is_signed, bool allocate_gpu_memory);
void cuda_integer_radix_shift_and_rotate_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array, void const *lwe_shift, int8_t *mem_ptr, void *const *bsks,
void *const *ksks, uint32_t num_blocks);
void cleanup_cuda_integer_radix_shift_and_rotate(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_integer_radix_comparison_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t lwe_ciphertext_count,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
COMPARISON_TYPE op_type, bool is_signed, bool allocate_gpu_memory);
void cuda_comparison_integer_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array_out, void const *lwe_array_1, void const *lwe_array_2,
int8_t *mem_ptr, void *const *bsks, void *const *ksks,
uint32_t lwe_ciphertext_count);
void cuda_scalar_comparison_integer_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array_out, void const *lwe_array_in, void const *scalar_blocks,
int8_t *mem_ptr, void *const *bsks, void *const *ksks,
uint32_t lwe_ciphertext_count, uint32_t num_scalar_blocks);
void cleanup_cuda_integer_comparison(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count, int8_t **mem_ptr_void);
void scratch_cuda_integer_radix_bitop_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t lwe_ciphertext_count,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
BITOP_TYPE op_type, bool allocate_gpu_memory);
void cuda_bitop_integer_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array_out, void const *lwe_array_1, void const *lwe_array_2,
int8_t *mem_ptr, void *const *bsks, void *const *ksks,
uint32_t lwe_ciphertext_count);
void cuda_scalar_bitop_integer_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array_out, void const *lwe_array_input, void const *clear_blocks,
uint32_t num_clear_blocks, int8_t *mem_ptr, void *const *bsks,
void *const *ksks, uint32_t lwe_ciphertext_count, BITOP_TYPE op);
void cleanup_cuda_integer_bitop(void *const *streams,
uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_integer_radix_cmux_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t lwe_ciphertext_count,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
bool allocate_gpu_memory);
void cuda_cmux_integer_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array_out, void const *lwe_condition, void const *lwe_array_true,
void const *lwe_array_false, int8_t *mem_ptr, void *const *bsks,
void *const *ksks, uint32_t lwe_ciphertext_count);
void cleanup_cuda_integer_radix_cmux(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count, int8_t **mem_ptr_void);
void scratch_cuda_integer_radix_scalar_rotate_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_blocks, uint32_t message_modulus,
uint32_t carry_modulus, PBS_TYPE pbs_type, SHIFT_OR_ROTATE_TYPE shift_type,
bool allocate_gpu_memory);
void cuda_integer_radix_scalar_rotate_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array, uint32_t n, int8_t *mem_ptr, void *const *bsks,
void *const *ksks, uint32_t num_blocks);
void cleanup_cuda_integer_radix_scalar_rotate(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_propagate_single_carry_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_blocks, uint32_t message_modulus,
uint32_t carry_modulus, PBS_TYPE pbs_type, bool allocate_gpu_memory);
void cuda_propagate_single_carry_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array, void *carry_out, int8_t *mem_ptr, void *const *bsks,
void *const *ksks, uint32_t num_blocks);
void cuda_propagate_single_carry_get_input_carries_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array, void *carry_out, void *input_carries, int8_t *mem_ptr,
void *const *bsks, void *const *ksks, uint32_t num_blocks);
void cleanup_cuda_propagate_single_carry(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_fast_propagate_single_carry_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_blocks, uint32_t message_modulus,
uint32_t carry_modulus, PBS_TYPE pbs_type, uint32_t requested_flag,
uint32_t uses_carry, bool allocate_gpu_memory);
void cuda_fast_propagate_single_carry_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array, void *carry_out, const void *carry_in, int8_t *mem_ptr,
void *const *bsks, void *const *ksks, uint32_t num_blocks,
uint32_t requested_flag, uint32_t uses_carry);
void cleanup_cuda_fast_propagate_single_carry(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_integer_overflowing_sub_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_blocks, uint32_t message_modulus,
uint32_t carry_modulus, PBS_TYPE pbs_type, uint32_t compute_overflow,
bool allocate_gpu_memory);
void cuda_integer_overflowing_sub_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lhs_array, const void *rhs_array, void *overflow_block,
const void *input_borrow, int8_t *mem_ptr, void *const *bsks,
void *const *ksks, uint32_t num_blocks, uint32_t compute_overflow,
uint32_t uses_input_borrow);
void cleanup_cuda_integer_overflowing_sub(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_integer_radix_partial_sum_ciphertexts_vec_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t lwe_dimension, uint32_t ks_level, uint32_t ks_base_log,
uint32_t pbs_level, uint32_t pbs_base_log, uint32_t grouping_factor,
uint32_t num_blocks_in_radix, uint32_t max_num_radix_in_vec,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
bool allocate_gpu_memory);
void cuda_integer_radix_partial_sum_ciphertexts_vec_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *radix_lwe_out, void *radix_lwe_vec, uint32_t num_radix_in_vec,
int8_t *mem_ptr, void *const *bsks, void *const *ksks,
uint32_t num_blocks_in_radix);
void cleanup_cuda_integer_radix_partial_sum_ciphertexts_vec(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_integer_radix_overflowing_sub_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_blocks, uint32_t message_modulus,
uint32_t carry_modulus, PBS_TYPE pbs_type, bool allocate_gpu_memory);
void cuda_integer_radix_overflowing_sub_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *radix_lwe_out, void *radix_lwe_overflowed, void const *radix_lwe_left,
void const *radix_lwe_right, int8_t *mem_ptr, void *const *bsks,
void *const *ksks, uint32_t num_blocks_in_radix);
void cleanup_cuda_integer_radix_overflowing_sub(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_integer_scalar_mul_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t lwe_dimension, uint32_t ks_level, uint32_t ks_base_log,
uint32_t pbs_level, uint32_t pbs_base_log, uint32_t grouping_factor,
uint32_t num_blocks, uint32_t message_modulus, uint32_t carry_modulus,
PBS_TYPE pbs_type, bool allocate_gpu_memory);
void cuda_scalar_multiplication_integer_radix_ciphertext_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lwe_array, uint64_t const *decomposed_scalar,
uint64_t const *has_at_least_one_set, int8_t *mem_ptr, void *const *bsks,
void *const *ksks, uint32_t lwe_dimension, uint32_t polynomial_size,
uint32_t message_modulus, uint32_t num_blocks, uint32_t num_scalars);
void cleanup_cuda_integer_radix_scalar_mul(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_integer_div_rem_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_blocks, uint32_t message_modulus,
uint32_t carry_modulus, PBS_TYPE pbs_type, bool allocate_gpu_memory);
void cuda_integer_div_rem_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *quotient, void *remainder, void const *numerator, void const *divisor,
int8_t *mem_ptr, void *const *bsks, void *const *ksks,
uint32_t num_blocks_in_radix);
void cleanup_cuda_integer_div_rem(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count, int8_t **mem_ptr_void);
void scratch_cuda_signed_overflowing_add_or_sub_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t big_lwe_dimension, uint32_t small_lwe_dimension, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_blocks, int8_t signed_operation,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
bool allocate_gpu_memory);
void cuda_signed_overflowing_add_or_sub_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lhs, void const *rhs, void *overflowed, int8_t signed_operation,
int8_t *mem_ptr, void *const *bsks, void *const *ksks,
uint32_t num_blocks_in_radix);
void cleanup_signed_overflowing_add_or_sub(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void scratch_cuda_integer_compute_prefix_sum_hillis_steele_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, void const *input_lut, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t ks_level,
uint32_t ks_base_log, uint32_t pbs_level, uint32_t pbs_base_log,
uint32_t grouping_factor, uint32_t num_radix_blocks,
uint32_t message_modulus, uint32_t carry_modulus, PBS_TYPE pbs_type,
bool allocate_gpu_memory);
void cuda_integer_compute_prefix_sum_hillis_steele_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *output_radix_lwe, void *generates_or_propagates, int8_t *mem_ptr,
void *const *ksks, void *const *bsks, uint32_t num_blocks, uint32_t shift);
void cleanup_cuda_integer_compute_prefix_sum_hillis_steele_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr_void);
void cuda_integer_reverse_blocks_64_inplace(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count, void *lwe_array,
uint32_t num_blocks,
uint32_t lwe_size);
} // extern C
#endif // CUDA_INTEGER_H

View File

@@ -1,39 +1,23 @@
#ifndef CNCRT_KS_H_
#define CNCRT_KS_H_
#include <stdint.h>
#include <cstdint>
extern "C" {
void cuda_keyswitch_lwe_ciphertext_vector_32(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_output_indexes, void const *lwe_array_in,
void const *lwe_input_indexes, void const *ksk, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log, uint32_t level_count,
uint32_t num_samples);
void *lwe_output_indexes, void *lwe_array_in, void *lwe_input_indexes,
void *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t gpu_offset = 0);
void cuda_keyswitch_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_output_indexes, void const *lwe_array_in,
void const *lwe_input_indexes, void const *ksk, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log, uint32_t level_count,
uint32_t num_samples);
void scratch_packing_keyswitch_lwe_list_to_glwe_64(
void *stream, uint32_t gpu_index, int8_t **fp_ks_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t num_lwes,
bool allocate_gpu_memory);
void cuda_packing_keyswitch_lwe_list_to_glwe_64(
void *stream, uint32_t gpu_index, void *glwe_array_out,
void const *lwe_array_in, void const *fp_ksk_array, int8_t *fp_ks_buffer,
uint32_t input_lwe_dimension, uint32_t output_glwe_dimension,
uint32_t output_polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_lwes);
void cleanup_packing_keyswitch_lwe_list_to_glwe(void *stream,
uint32_t gpu_index,
int8_t **fp_ks_buffer);
void *lwe_output_indexes, void *lwe_array_in, void *lwe_input_indexes,
void *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t gpu_offset = 0);
}
#endif // CNCRT_KS_H_

View File

@@ -1,54 +1,50 @@
#ifndef CUDA_LINALG_H_
#define CUDA_LINALG_H_
#include <stdint.h>
#include "programmable_bootstrap.h"
#include <cstdint>
#include <device.h>
extern "C" {
void cuda_negate_lwe_ciphertext_vector_32(void *stream, uint32_t gpu_index,
void *lwe_array_out,
void const *lwe_array_in,
void *lwe_array_in,
uint32_t input_lwe_dimension,
uint32_t input_lwe_ciphertext_count);
void cuda_negate_lwe_ciphertext_vector_64(void *stream, uint32_t gpu_index,
void *lwe_array_out,
void const *lwe_array_in,
void *lwe_array_in,
uint32_t input_lwe_dimension,
uint32_t input_lwe_ciphertext_count);
void cuda_add_lwe_ciphertext_vector_32(void *stream, uint32_t gpu_index,
void *lwe_array_out,
void const *lwe_array_in_1,
void const *lwe_array_in_2,
void *lwe_array_in_1,
void *lwe_array_in_2,
uint32_t input_lwe_dimension,
uint32_t input_lwe_ciphertext_count);
void cuda_add_lwe_ciphertext_vector_64(void *stream, uint32_t gpu_index,
void *lwe_array_out,
void const *lwe_array_in_1,
void const *lwe_array_in_2,
void *lwe_array_in_1,
void *lwe_array_in_2,
uint32_t input_lwe_dimension,
uint32_t input_lwe_ciphertext_count);
void cuda_add_lwe_ciphertext_vector_64_with_packing(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_array_in_1, void const *lwe_array_in_2,
uint32_t input_lwe_dimension, uint32_t input_lwe_ciphertext_count,
uint32_t message_modulus);
void cuda_add_lwe_ciphertext_vector_plaintext_vector_32(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_array_in, void const *plaintext_array_in,
uint32_t input_lwe_dimension, uint32_t input_lwe_ciphertext_count);
void *stream, uint32_t gpu_index, void *lwe_array_out, void *lwe_array_in,
void *plaintext_array_in, uint32_t input_lwe_dimension,
uint32_t input_lwe_ciphertext_count);
void cuda_add_lwe_ciphertext_vector_plaintext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_array_in, void const *plaintext_array_in,
uint32_t input_lwe_dimension, uint32_t input_lwe_ciphertext_count);
void *stream, uint32_t gpu_index, void *lwe_array_out, void *lwe_array_in,
void *plaintext_array_in, uint32_t input_lwe_dimension,
uint32_t input_lwe_ciphertext_count);
void cuda_mult_lwe_ciphertext_vector_cleartext_vector_32(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_array_in, void const *cleartext_array_in,
uint32_t input_lwe_dimension, uint32_t input_lwe_ciphertext_count);
void *stream, uint32_t gpu_index, void *lwe_array_out, void *lwe_array_in,
void *cleartext_array_in, uint32_t input_lwe_dimension,
uint32_t input_lwe_ciphertext_count);
void cuda_mult_lwe_ciphertext_vector_cleartext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_array_in, void const *cleartext_array_in,
uint32_t input_lwe_dimension, uint32_t input_lwe_ciphertext_count);
void *stream, uint32_t gpu_index, void *lwe_array_out, void *lwe_array_in,
void *cleartext_array_in, uint32_t input_lwe_dimension,
uint32_t input_lwe_ciphertext_count);
}
#endif // CUDA_LINALG_H_

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@@ -1,7 +0,0 @@
#ifndef CUDA_PBS_ENUMS_H
#define CUDA_PBS_ENUMS_H
enum PBS_TYPE { MULTI_BIT = 0, CLASSICAL = 1 };
enum PBS_VARIANT { DEFAULT = 0, CG = 1, TBC = 2 };
#endif // CUDA_PBS_ENUMS_H

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@@ -1,86 +0,0 @@
#ifndef CUDA_BOOTSTRAP_H
#define CUDA_BOOTSTRAP_H
#include "pbs_enums.h"
#include <stdint.h>
extern "C" {
void cuda_fourier_polynomial_mul(void *stream, uint32_t gpu_index,
void const *input1, void const *input2,
void *output, uint32_t polynomial_size,
uint32_t total_polynomials);
void cuda_convert_lwe_programmable_bootstrap_key_32(
void *stream, uint32_t gpu_index, void *dest, void const *src,
uint32_t input_lwe_dim, uint32_t glwe_dim, uint32_t level_count,
uint32_t polynomial_size);
void cuda_convert_lwe_programmable_bootstrap_key_64(
void *stream, uint32_t gpu_index, void *dest, void const *src,
uint32_t input_lwe_dim, uint32_t glwe_dim, uint32_t level_count,
uint32_t polynomial_size);
void scratch_cuda_programmable_bootstrap_amortized_32(
void *stream, uint32_t gpu_index, int8_t **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
void scratch_cuda_programmable_bootstrap_amortized_64(
void *stream, uint32_t gpu_index, int8_t **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
void cuda_programmable_bootstrap_amortized_lwe_ciphertext_vector_32(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_output_indexes, void const *lut_vector,
void const *lut_vector_indexes, void const *lwe_array_in,
void const *lwe_input_indexes, void const *bootstrapping_key,
int8_t *pbs_buffer, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_samples);
void cuda_programmable_bootstrap_amortized_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_output_indexes, void const *lut_vector,
void const *lut_vector_indexes, void const *lwe_array_in,
void const *lwe_input_indexes, void const *bootstrapping_key,
int8_t *pbs_buffer, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_samples);
void cleanup_cuda_programmable_bootstrap_amortized(void *stream,
uint32_t gpu_index,
int8_t **pbs_buffer);
void scratch_cuda_programmable_bootstrap_32(
void *stream, uint32_t gpu_index, int8_t **buffer, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
void scratch_cuda_programmable_bootstrap_64(
void *stream, uint32_t gpu_index, int8_t **buffer, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
void cuda_programmable_bootstrap_lwe_ciphertext_vector_32(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_output_indexes, void const *lut_vector,
void const *lut_vector_indexes, void const *lwe_array_in,
void const *lwe_input_indexes, void const *bootstrapping_key,
int8_t *buffer, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_samples, uint32_t lut_count, uint32_t lut_stride);
void cuda_programmable_bootstrap_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_output_indexes, void const *lut_vector,
void const *lut_vector_indexes, void const *lwe_array_in,
void const *lwe_input_indexes, void const *bootstrapping_key,
int8_t *buffer, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_samples, uint32_t lut_count, uint32_t lut_stride);
void cleanup_cuda_programmable_bootstrap(void *stream, uint32_t gpu_index,
int8_t **pbs_buffer);
}
#endif // CUDA_BOOTSTRAP_H

View File

@@ -1,38 +0,0 @@
#ifndef CUDA_MULTI_BIT_H
#define CUDA_MULTI_BIT_H
#include "pbs_enums.h"
#include "stdint.h"
extern "C" {
bool has_support_to_cuda_programmable_bootstrap_cg_multi_bit(
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t num_samples);
void cuda_convert_lwe_multi_bit_programmable_bootstrap_key_64(
void *stream, uint32_t gpu_index, void *dest, void const *src,
uint32_t input_lwe_dim, uint32_t glwe_dim, uint32_t level_count,
uint32_t polynomial_size, uint32_t grouping_factor);
void scratch_cuda_multi_bit_programmable_bootstrap_64(
void *stream, uint32_t gpu_index, int8_t **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
void cuda_multi_bit_programmable_bootstrap_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_output_indexes, void const *lut_vector,
void const *lut_vector_indexes, void const *lwe_array_in,
void const *lwe_input_indexes, void const *bootstrapping_key,
int8_t *buffer, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t grouping_factor, uint32_t base_log,
uint32_t level_count, uint32_t num_samples, uint32_t lut_count,
uint32_t lut_stride);
void cleanup_cuda_multi_bit_programmable_bootstrap(void *stream,
uint32_t gpu_index,
int8_t **pbs_buffer);
}
#endif // CUDA_MULTI_BIT_H

View File

@@ -1,32 +1,127 @@
#ifndef CUDA_BOOTSTRAP_UTILITIES_H
#define CUDA_BOOTSTRAP_UTILITIES_H
#ifndef CUDA_BOOTSTRAP_H
#define CUDA_BOOTSTRAP_H
#include "device.h"
#include "pbs_enums.h"
#include "vector_types.h"
#include <stdint.h>
#include <cstdint>
enum PBS_TYPE { MULTI_BIT = 0, CLASSICAL = 1 };
enum PBS_VARIANT { DEFAULT = 0, CG = 1, TBC = 2 };
extern "C" {
void cuda_fourier_polynomial_mul(cudaStream_t stream, uint32_t gpu_index,
void *input1, void *input2, void *output,
uint32_t polynomial_size,
uint32_t total_polynomials);
void cuda_convert_lwe_programmable_bootstrap_key_32(
void *stream, uint32_t gpu_index, void *dest, void *src,
uint32_t input_lwe_dim, uint32_t glwe_dim, uint32_t level_count,
uint32_t polynomial_size);
void cuda_convert_lwe_programmable_bootstrap_key_64(
void *stream, uint32_t gpu_index, void *dest, void *src,
uint32_t input_lwe_dim, uint32_t glwe_dim, uint32_t level_count,
uint32_t polynomial_size);
void scratch_cuda_programmable_bootstrap_amortized_32(
void *stream, uint32_t gpu_index, int8_t **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
void scratch_cuda_programmable_bootstrap_amortized_64(
void *stream, uint32_t gpu_index, int8_t **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
void cuda_programmable_bootstrap_amortized_lwe_ciphertext_vector_32(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *lwe_output_indexes, void *lut_vector, void *lut_vector_indexes,
void *lwe_array_in, void *lwe_input_indexes, void *bootstrapping_key,
int8_t *pbs_buffer, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_samples, uint32_t num_luts, uint32_t lwe_idx,
uint32_t max_shared_memory);
void cuda_programmable_bootstrap_amortized_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *lwe_output_indexes, void *lut_vector, void *lut_vector_indexes,
void *lwe_array_in, void *lwe_input_indexes, void *bootstrapping_key,
int8_t *pbs_buffer, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_samples, uint32_t num_luts, uint32_t lwe_idx,
uint32_t max_shared_memory, uint32_t gpu_offset = 0);
void cleanup_cuda_programmable_bootstrap_amortized(void *stream,
uint32_t gpu_index,
int8_t **pbs_buffer);
void scratch_cuda_programmable_bootstrap_32(
void *stream, uint32_t gpu_index, int8_t **buffer, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
void scratch_cuda_programmable_bootstrap_64(
void *stream, uint32_t gpu_index, int8_t **buffer, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
void cuda_programmable_bootstrap_lwe_ciphertext_vector_32(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *lwe_output_indexes, void *lut_vector, void *lut_vector_indexes,
void *lwe_array_in, void *lwe_input_indexes, void *bootstrapping_key,
int8_t *buffer, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_samples, uint32_t num_luts, uint32_t lwe_idx,
uint32_t max_shared_memory, uint32_t gpu_offset = 0);
void cuda_programmable_bootstrap_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *lwe_output_indexes, void *lut_vector, void *lut_vector_indexes,
void *lwe_array_in, void *lwe_input_indexes, void *bootstrapping_key,
int8_t *buffer, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_samples, uint32_t num_luts, uint32_t lwe_idx,
uint32_t max_shared_memory, uint32_t gpu_offset = 0);
void cleanup_cuda_programmable_bootstrap(void *stream, uint32_t gpu_index,
int8_t **pbs_buffer);
uint64_t get_buffer_size_programmable_bootstrap_amortized_64(
uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory);
uint64_t get_buffer_size_programmable_bootstrap_64(
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory);
}
template <typename Torus>
uint64_t get_buffer_size_full_sm_programmable_bootstrap_step_one(
__host__ __device__ uint64_t
get_buffer_size_full_sm_programmable_bootstrap_step_one(
uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator_rotated
sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
uint64_t get_buffer_size_full_sm_programmable_bootstrap_step_two(
__host__ __device__ uint64_t
get_buffer_size_full_sm_programmable_bootstrap_step_two(
uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator
sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
uint64_t
__host__ __device__ uint64_t
get_buffer_size_partial_sm_programmable_bootstrap(uint32_t polynomial_size) {
return sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
uint64_t
__host__ __device__ uint64_t
get_buffer_size_full_sm_programmable_bootstrap_tbc(uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator_rotated
sizeof(Torus) * polynomial_size + // accumulator
@@ -34,19 +129,21 @@ get_buffer_size_full_sm_programmable_bootstrap_tbc(uint32_t polynomial_size) {
}
template <typename Torus>
uint64_t get_buffer_size_partial_sm_programmable_bootstrap_tbc(
__host__ __device__ uint64_t
get_buffer_size_partial_sm_programmable_bootstrap_tbc(
uint32_t polynomial_size) {
return sizeof(double2) * polynomial_size / 2; // accumulator fft mask & body
}
template <typename Torus>
uint64_t get_buffer_size_sm_dsm_plus_tbc_classic_programmable_bootstrap(
__host__ __device__ uint64_t
get_buffer_size_sm_dsm_plus_tbc_classic_programmable_bootstrap(
uint32_t polynomial_size) {
return sizeof(double2) * polynomial_size / 2; // tbc
}
template <typename Torus>
uint64_t
__host__ __device__ uint64_t
get_buffer_size_full_sm_programmable_bootstrap_cg(uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator_rotated
sizeof(Torus) * polynomial_size + // accumulator
@@ -54,14 +151,15 @@ get_buffer_size_full_sm_programmable_bootstrap_cg(uint32_t polynomial_size) {
}
template <typename Torus>
uint64_t
__host__ __device__ uint64_t
get_buffer_size_partial_sm_programmable_bootstrap_cg(uint32_t polynomial_size) {
return sizeof(double2) * polynomial_size / 2; // accumulator fft mask & body
}
template <typename Torus>
bool supports_distributed_shared_memory_on_classic_programmable_bootstrap(
uint32_t polynomial_size);
__host__ bool
supports_distributed_shared_memory_on_classic_programmable_bootstrap(
uint32_t polynomial_size, uint32_t max_shared_memory);
template <typename Torus, PBS_TYPE pbs_type> struct pbs_buffer;
@@ -80,7 +178,7 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::CLASSICAL> {
this->pbs_variant = pbs_variant;
auto max_shared_memory = cuda_get_max_shared_memory(0);
auto max_shared_memory = cuda_get_max_shared_memory(gpu_index);
if (allocate_gpu_memory) {
switch (pbs_variant) {
@@ -157,7 +255,7 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::CLASSICAL> {
bool supports_dsm =
supports_distributed_shared_memory_on_classic_programmable_bootstrap<
Torus>(polynomial_size);
Torus>(polynomial_size, max_shared_memory);
uint64_t full_sm =
get_buffer_size_full_sm_programmable_bootstrap_tbc<Torus>(
@@ -216,10 +314,10 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::CLASSICAL> {
};
template <typename Torus>
uint64_t get_buffer_size_programmable_bootstrap_cg(
__host__ __device__ uint64_t get_buffer_size_programmable_bootstrap_cg(
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count) {
int max_shared_memory = cuda_get_max_shared_memory(0);
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory) {
uint64_t full_sm =
get_buffer_size_full_sm_programmable_bootstrap_cg<Torus>(polynomial_size);
uint64_t partial_sm =
@@ -245,78 +343,74 @@ template <typename Torus>
bool has_support_to_cuda_programmable_bootstrap_cg(uint32_t glwe_dimension,
uint32_t polynomial_size,
uint32_t level_count,
uint32_t num_samples);
uint32_t num_samples,
uint32_t max_shared_memory);
template <typename Torus>
void cuda_programmable_bootstrap_cg_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
Torus const *lwe_output_indexes, Torus const *lut_vector,
Torus const *lut_vector_indexes, Torus const *lwe_array_in,
Torus const *lwe_input_indexes, double2 const *bootstrapping_key,
Torus *lwe_output_indexes, Torus *lut_vector, Torus *lut_vector_indexes,
Torus *lwe_array_in, Torus *lwe_input_indexes, double2 *bootstrapping_key,
pbs_buffer<Torus, CLASSICAL> *buffer, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t base_log,
uint32_t level_count, uint32_t num_samples, uint32_t lut_count,
uint32_t lut_stride);
uint32_t level_count, uint32_t num_samples, uint32_t num_luts,
uint32_t lwe_idx, uint32_t max_shared_memory, uint32_t gpu_offset = 0);
template <typename Torus>
void cuda_programmable_bootstrap_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
Torus const *lwe_output_indexes, Torus const *lut_vector,
Torus const *lut_vector_indexes, Torus const *lwe_array_in,
Torus const *lwe_input_indexes, double2 const *bootstrapping_key,
Torus *lwe_output_indexes, Torus *lut_vector, Torus *lut_vector_indexes,
Torus *lwe_array_in, Torus *lwe_input_indexes, double2 *bootstrapping_key,
pbs_buffer<Torus, CLASSICAL> *buffer, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t base_log,
uint32_t level_count, uint32_t num_samples, uint32_t lut_count,
uint32_t lut_stride);
uint32_t level_count, uint32_t num_samples, uint32_t num_luts,
uint32_t lwe_idx, uint32_t max_shared_memory, uint32_t gpu_offset = 0);
#if (CUDA_ARCH >= 900)
template <typename Torus>
void cuda_programmable_bootstrap_tbc_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
Torus const *lwe_output_indexes, Torus const *lut_vector,
Torus const *lut_vector_indexes, Torus const *lwe_array_in,
Torus const *lwe_input_indexes, double2 const *bootstrapping_key,
Torus *lwe_output_indexes, Torus *lut_vector, Torus *lut_vector_indexes,
Torus *lwe_array_in, Torus *lwe_input_indexes, double2 *bootstrapping_key,
pbs_buffer<Torus, CLASSICAL> *buffer, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t base_log,
uint32_t level_count, uint32_t num_samples, uint32_t lut_count,
uint32_t lut_stride);
uint32_t level_count, uint32_t num_samples, uint32_t num_luts,
uint32_t lwe_idx, uint32_t max_shared_memory, uint32_t gpu_offset = 0);
template <typename Torus>
template <typename Torus, typename STorus>
void scratch_cuda_programmable_bootstrap_tbc(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, CLASSICAL> **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
#endif
template <typename Torus>
template <typename Torus, typename STorus>
void scratch_cuda_programmable_bootstrap_cg(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, CLASSICAL> **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
template <typename Torus>
template <typename Torus, typename STorus>
void scratch_cuda_programmable_bootstrap(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, CLASSICAL> **buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
template <typename Torus>
bool has_support_to_cuda_programmable_bootstrap_tbc(uint32_t num_samples,
uint32_t glwe_dimension,
uint32_t polynomial_size,
uint32_t level_count);
uint32_t level_count,
uint32_t max_shared_memory);
#ifdef __CUDACC__
__device__ inline int get_start_ith_ggsw(int i, uint32_t polynomial_size,
int glwe_dimension,
uint32_t level_count);
template <typename T>
__device__ const T *get_ith_mask_kth_block(const T *ptr, int i, int k,
int level, uint32_t polynomial_size,
int glwe_dimension,
uint32_t level_count);
template <typename T>
__device__ T *get_ith_mask_kth_block(T *ptr, int i, int k, int level,
uint32_t polynomial_size,
@@ -328,10 +422,10 @@ __device__ T *get_ith_body_kth_block(T *ptr, int i, int k, int level,
int glwe_dimension, uint32_t level_count);
template <typename T>
__device__ const T *get_multi_bit_ith_lwe_gth_group_kth_block(
const T *ptr, int g, int i, int k, int level, uint32_t grouping_factor,
__device__ T *get_multi_bit_ith_lwe_gth_group_kth_block(
T *ptr, int g, int i, int k, int level, uint32_t grouping_factor,
uint32_t polynomial_size, uint32_t glwe_dimension, uint32_t level_count);
#endif
#endif // CUDA_BOOTSTRAP_UTILITIES_H
#endif // CUDA_BOOTSTRAP_H

View File

@@ -1,109 +1,162 @@
#ifndef CUDA_MULTI_BIT_UTILITIES_H
#define CUDA_MULTI_BIT_UTILITIES_H
#ifndef CUDA_MULTI_BIT_H
#define CUDA_MULTI_BIT_H
#include "pbs_utilities.h"
#include "programmable_bootstrap.h"
#include <cstdint>
extern "C" {
bool has_support_to_cuda_programmable_bootstrap_cg_multi_bit(
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t num_samples, uint32_t max_shared_memory);
void cuda_convert_lwe_multi_bit_programmable_bootstrap_key_64(
void *stream, uint32_t gpu_index, void *dest, void *src,
uint32_t input_lwe_dim, uint32_t glwe_dim, uint32_t level_count,
uint32_t polynomial_size, uint32_t grouping_factor);
void scratch_cuda_multi_bit_programmable_bootstrap_64(
void *stream, uint32_t gpu_index, int8_t **pbs_buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count, uint32_t grouping_factor,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory, uint32_t chunk_size = 0);
void cuda_multi_bit_programmable_bootstrap_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *lwe_output_indexes, void *lut_vector, void *lut_vector_indexes,
void *lwe_array_in, void *lwe_input_indexes, void *bootstrapping_key,
int8_t *buffer, uint32_t lwe_dimension, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t grouping_factor, uint32_t base_log,
uint32_t level_count, uint32_t num_samples, uint32_t num_luts,
uint32_t lwe_idx, uint32_t max_shared_memory, uint32_t gpu_offset,
uint32_t lwe_chunk_size = 0);
void cleanup_cuda_multi_bit_programmable_bootstrap(void *stream,
uint32_t gpu_index,
int8_t **pbs_buffer);
}
template <typename Torus>
bool supports_distributed_shared_memory_on_multibit_programmable_bootstrap(
uint32_t polynomial_size);
__host__ bool
supports_distributed_shared_memory_on_multibit_programmable_bootstrap(
uint32_t polynomial_size, uint32_t max_shared_memory);
template <typename Torus>
bool has_support_to_cuda_programmable_bootstrap_tbc_multi_bit(
uint32_t num_samples, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count);
uint32_t level_count, uint32_t max_shared_memory);
#if CUDA_ARCH >= 900
template <typename Torus>
template <typename Torus, typename STorus>
void scratch_cuda_tbc_multi_bit_programmable_bootstrap(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, MULTI_BIT> **buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count, uint32_t grouping_factor,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory, uint32_t lwe_chunk_size);
template <typename Torus>
void cuda_tbc_multi_bit_programmable_bootstrap_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
Torus const *lwe_output_indexes, Torus const *lut_vector,
Torus const *lut_vector_indexes, Torus const *lwe_array_in,
Torus const *lwe_input_indexes, Torus const *bootstrapping_key,
Torus *lwe_output_indexes, Torus *lut_vector, Torus *lut_vector_indexes,
Torus *lwe_array_in, Torus *lwe_input_indexes, Torus *bootstrapping_key,
pbs_buffer<Torus, MULTI_BIT> *pbs_buffer, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t grouping_factor,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t lut_count, uint32_t lut_stride);
uint32_t num_luts, uint32_t lwe_idx, uint32_t max_shared_memory,
uint32_t gpu_offset, uint32_t lwe_chunk_size);
#endif
template <typename Torus>
template <typename Torus, typename STorus>
void scratch_cuda_cg_multi_bit_programmable_bootstrap(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, MULTI_BIT> **pbs_buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count, uint32_t grouping_factor,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory, uint32_t lwe_chunk_size = 0);
template <typename Torus, typename STorus>
void scratch_cuda_cg_multi_bit_programmable_bootstrap(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, MULTI_BIT> **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory, uint32_t lwe_chunk_size = 0);
template <typename Torus>
void cuda_cg_multi_bit_programmable_bootstrap_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
Torus const *lwe_output_indexes, Torus const *lut_vector,
Torus const *lut_vector_indexes, Torus const *lwe_array_in,
Torus const *lwe_input_indexes, Torus const *bootstrapping_key,
Torus *lwe_output_indexes, Torus *lut_vector, Torus *lut_vector_indexes,
Torus *lwe_array_in, Torus *lwe_input_indexes, Torus *bootstrapping_key,
pbs_buffer<Torus, MULTI_BIT> *pbs_buffer, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t grouping_factor,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t lut_count, uint32_t lut_stride);
uint32_t num_luts, uint32_t lwe_idx, uint32_t max_shared_memory,
uint32_t gpu_offset, uint32_t lwe_chunk_size = 0);
template <typename Torus>
template <typename Torus, typename STorus>
void scratch_cuda_multi_bit_programmable_bootstrap(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, MULTI_BIT> **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count, uint32_t grouping_factor,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory, uint32_t lwe_chunk_size = 0);
template <typename Torus>
void cuda_multi_bit_programmable_bootstrap_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
Torus const *lwe_output_indexes, Torus const *lut_vector,
Torus const *lut_vector_indexes, Torus const *lwe_array_in,
Torus const *lwe_input_indexes, Torus const *bootstrapping_key,
Torus *lwe_output_indexes, Torus *lut_vector, Torus *lut_vector_indexes,
Torus *lwe_array_in, Torus *lwe_input_indexes, Torus *bootstrapping_key,
pbs_buffer<Torus, MULTI_BIT> *pbs_buffer, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t grouping_factor,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t lut_count, uint32_t lut_stride);
uint32_t num_luts, uint32_t lwe_idx, uint32_t max_shared_memory,
uint32_t gpu_offset, uint32_t lwe_chunk_size = 0);
template <typename Torus>
uint64_t get_buffer_size_full_sm_multibit_programmable_bootstrap_keybundle(
__host__ __device__ uint64_t
get_buffer_size_full_sm_multibit_programmable_bootstrap_keybundle(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_full_sm_multibit_programmable_bootstrap_step_one(
__host__ __device__ uint64_t
get_buffer_size_full_sm_multibit_programmable_bootstrap_step_one(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_full_sm_multibit_programmable_bootstrap_step_two(
__host__ __device__ uint64_t
get_buffer_size_full_sm_multibit_programmable_bootstrap_step_two(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_partial_sm_multibit_programmable_bootstrap_step_one(
__host__ __device__ uint64_t
get_buffer_size_partial_sm_multibit_programmable_bootstrap_step_one(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_full_sm_cg_multibit_programmable_bootstrap(
__host__ __device__ uint64_t
get_buffer_size_full_sm_cg_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_partial_sm_cg_multibit_programmable_bootstrap(
__host__ __device__ uint64_t
get_buffer_size_partial_sm_cg_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_sm_dsm_plus_tbc_multibit_programmable_bootstrap(
__host__ __device__ uint64_t
get_buffer_size_sm_dsm_plus_tbc_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_partial_sm_tbc_multibit_programmable_bootstrap(
__host__ __device__ uint64_t
get_buffer_size_partial_sm_tbc_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_full_sm_tbc_multibit_programmable_bootstrap(
__host__ __device__ uint64_t
get_buffer_size_full_sm_tbc_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus, class params>
uint32_t get_lwe_chunk_size(uint32_t gpu_index, uint32_t max_num_pbs,
uint32_t polynomial_size);
template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::MULTI_BIT> {
int8_t *d_mem_keybundle = NULL;
int8_t *d_mem_acc_step_one = NULL;
int8_t *d_mem_acc_step_two = NULL;
int8_t *d_mem_acc_cg = NULL;
int8_t *d_mem_acc_tbc = NULL;
uint32_t lwe_chunk_size;
double2 *keybundle_fft;
Torus *global_accumulator;
double2 *global_accumulator_fft;
@@ -115,7 +168,6 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::MULTI_BIT> {
uint32_t input_lwe_ciphertext_count, uint32_t lwe_chunk_size,
PBS_VARIANT pbs_variant, bool allocate_gpu_memory) {
this->pbs_variant = pbs_variant;
this->lwe_chunk_size = lwe_chunk_size;
auto max_shared_memory = cuda_get_max_shared_memory(gpu_index);
// default
@@ -264,4 +316,9 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::MULTI_BIT> {
}
};
#endif // CUDA_MULTI_BIT_UTILITIES_H
template <typename Torus, class params>
__host__ uint32_t get_lwe_chunk_size(uint32_t gpu_index, uint32_t max_num_pbs,
uint32_t polynomial_size,
uint32_t max_shared_memory);
#endif // CUDA_MULTI_BIT_H

View File

@@ -1,3 +1,17 @@
set(SOURCES
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/bit_extraction.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/bitwise_ops.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/bootstrap.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/bootstrap_multibit.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/ciphertext.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/circuit_bootstrap.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/device.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/integer.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/keyswitch.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/linear_algebra.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/shifts.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/vertical_packing.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/helper_multi_gpu.h)
file(GLOB_RECURSE SOURCES "*.cu")
add_library(tfhe_cuda_backend STATIC ${SOURCES})
set_target_properties(tfhe_cuda_backend PROPERTIES CUDA_SEPARABLE_COMPILATION ON CUDA_RESOLVE_DEVICE_SYMBOLS ON)

View File

@@ -1,5 +1,4 @@
#include "ciphertext.cuh"
#include "polynomial/parameters.cuh"
void cuda_convert_lwe_ciphertext_vector_to_gpu_64(void *stream,
uint32_t gpu_index,
@@ -20,58 +19,3 @@ void cuda_convert_lwe_ciphertext_vector_to_cpu_64(void *stream,
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)dest,
(uint64_t *)src, number_of_cts, lwe_dimension);
}
void cuda_glwe_sample_extract_64(void *stream, uint32_t gpu_index,
void *lwe_array_out, void const *glwe_array_in,
uint32_t const *nth_array, uint32_t num_nths,
uint32_t glwe_dimension,
uint32_t polynomial_size) {
switch (polynomial_size) {
case 256:
host_sample_extract<uint64_t, AmortizedDegree<256>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
glwe_dimension);
break;
case 512:
host_sample_extract<uint64_t, AmortizedDegree<512>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
glwe_dimension);
break;
case 1024:
host_sample_extract<uint64_t, AmortizedDegree<1024>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
glwe_dimension);
break;
case 2048:
host_sample_extract<uint64_t, AmortizedDegree<2048>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
glwe_dimension);
break;
case 4096:
host_sample_extract<uint64_t, AmortizedDegree<4096>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
glwe_dimension);
break;
case 8192:
host_sample_extract<uint64_t, AmortizedDegree<8192>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
glwe_dimension);
break;
case 16384:
host_sample_extract<uint64_t, AmortizedDegree<16384>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
glwe_dimension);
break;
default:
PANIC("Cuda error: unsupported polynomial size. Supported "
"N's are powers of two in the interval [256..16384].")
}
}

View File

@@ -3,7 +3,6 @@
#include "ciphertext.h"
#include "device.h"
#include "polynomial/functions.cuh"
#include <cstdint>
template <typename T>
@@ -26,42 +25,4 @@ void cuda_convert_lwe_ciphertext_vector_to_cpu(cudaStream_t stream,
cuda_memcpy_async_to_cpu(dest, src, size, stream, gpu_index);
}
template <typename Torus, class params>
__global__ void sample_extract(Torus *lwe_array_out, Torus const *glwe_array_in,
uint32_t const *nth_array,
uint32_t glwe_dimension) {
const int input_id = blockIdx.x;
const int glwe_input_size = (glwe_dimension + 1) * params::degree;
const int lwe_output_size = glwe_dimension * params::degree + 1;
auto lwe_out = lwe_array_out + input_id * lwe_output_size;
// We assume each GLWE will store the first polynomial_size inputs
uint32_t lwe_per_glwe = params::degree;
auto glwe_in = glwe_array_in + (input_id / lwe_per_glwe) * glwe_input_size;
// nth is ensured to be in [0, lwe_per_glwe)
auto nth = nth_array[input_id] % lwe_per_glwe;
sample_extract_mask<Torus, params>(lwe_out, glwe_in, glwe_dimension, nth);
sample_extract_body<Torus, params>(lwe_out, glwe_in, glwe_dimension, nth);
}
template <typename Torus, class params>
__host__ void host_sample_extract(cudaStream_t stream, uint32_t gpu_index,
Torus *lwe_array_out,
Torus const *glwe_array_in,
uint32_t const *nth_array, uint32_t num_nths,
uint32_t glwe_dimension) {
cudaSetDevice(gpu_index);
dim3 grid(num_nths);
dim3 thds(params::degree / params::opt);
sample_extract<Torus, params><<<grid, thds, 0, stream>>>(
lwe_array_out, glwe_array_in, nth_array, glwe_dimension);
check_cuda_error(cudaGetLastError());
}
#endif

View File

@@ -9,14 +9,16 @@ void cuda_keyswitch_lwe_ciphertext_vector_32(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *lwe_output_indexes, void *lwe_array_in, void *lwe_input_indexes,
void *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples) {
host_keyswitch_lwe_ciphertext_vector<uint32_t>(
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t gpu_offset) {
cuda_keyswitch_lwe_ciphertext_vector(
static_cast<cudaStream_t>(stream), gpu_index,
static_cast<uint32_t *>(lwe_array_out),
static_cast<uint32_t *>(lwe_output_indexes),
static_cast<uint32_t *>(lwe_array_in),
static_cast<uint32_t *>(lwe_input_indexes), static_cast<uint32_t *>(ksk),
lwe_dimension_in, lwe_dimension_out, base_log, level_count, num_samples);
lwe_dimension_in, lwe_dimension_out, base_log, level_count, num_samples,
gpu_offset);
}
/* Perform keyswitch on a batch of 64 bits input LWE ciphertexts.
@@ -37,49 +39,16 @@ void cuda_keyswitch_lwe_ciphertext_vector_32(
*/
void cuda_keyswitch_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_output_indexes, void const *lwe_array_in,
void const *lwe_input_indexes, void const *ksk, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log, uint32_t level_count,
uint32_t num_samples) {
host_keyswitch_lwe_ciphertext_vector<uint64_t>(
void *lwe_output_indexes, void *lwe_array_in, void *lwe_input_indexes,
void *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t gpu_offset) {
cuda_keyswitch_lwe_ciphertext_vector(
static_cast<cudaStream_t>(stream), gpu_index,
static_cast<uint64_t *>(lwe_array_out),
static_cast<const uint64_t *>(lwe_output_indexes),
static_cast<const uint64_t *>(lwe_array_in),
static_cast<const uint64_t *>(lwe_input_indexes),
static_cast<const uint64_t *>(ksk), lwe_dimension_in, lwe_dimension_out,
base_log, level_count, num_samples);
}
void scratch_packing_keyswitch_lwe_list_to_glwe_64(
void *stream, uint32_t gpu_index, int8_t **fp_ks_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t num_lwes,
bool allocate_gpu_memory) {
scratch_packing_keyswitch_lwe_list_to_glwe<uint64_t>(
static_cast<cudaStream_t>(stream), gpu_index, fp_ks_buffer,
glwe_dimension, polynomial_size, num_lwes, allocate_gpu_memory);
}
/* Perform functional packing keyswitch on a batch of 64 bits input LWE
* ciphertexts.
*/
void cuda_packing_keyswitch_lwe_list_to_glwe_64(
void *stream, uint32_t gpu_index, void *glwe_array_out,
void const *lwe_array_in, void const *fp_ksk_array, int8_t *fp_ks_buffer,
uint32_t input_lwe_dimension, uint32_t output_glwe_dimension,
uint32_t output_polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_lwes) {
host_packing_keyswitch_lwe_list_to_glwe<uint64_t>(
static_cast<cudaStream_t>(stream), gpu_index,
static_cast<uint64_t *>(glwe_array_out),
static_cast<const uint64_t *>(lwe_array_in),
static_cast<const uint64_t *>(fp_ksk_array), fp_ks_buffer,
input_lwe_dimension, output_glwe_dimension, output_polynomial_size,
base_log, level_count, num_lwes);
}
void cleanup_packing_keyswitch_lwe_list_to_glwe(void *stream,
uint32_t gpu_index,
int8_t **fp_ks_buffer) {
cuda_drop_async(*fp_ks_buffer, static_cast<cudaStream_t>(stream), gpu_index);
static_cast<uint64_t *>(lwe_output_indexes),
static_cast<uint64_t *>(lwe_array_in),
static_cast<uint64_t *>(lwe_input_indexes), static_cast<uint64_t *>(ksk),
lwe_dimension_in, lwe_dimension_out, base_log, level_count, num_samples,
gpu_offset);
}

View File

@@ -7,7 +7,6 @@
#include "polynomial/functions.cuh"
#include "polynomial/polynomial_math.cuh"
#include "torus.cuh"
#include "utils/helper.cuh"
#include "utils/kernel_dimensions.cuh"
#include <thread>
#include <vector>
@@ -39,25 +38,26 @@ __device__ Torus *get_ith_block(Torus *ksk, int i, int level,
// threads in y are used to paralelize the lwe_dimension_in loop.
// shared memory is used to store intermediate results of the reduction.
template <typename Torus>
__global__ void
keyswitch(Torus *lwe_array_out, const Torus *__restrict__ lwe_output_indexes,
const Torus *__restrict__ lwe_array_in,
const Torus *__restrict__ lwe_input_indexes,
const Torus *__restrict__ ksk, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log, uint32_t level_count) {
__global__ void keyswitch(Torus *lwe_array_out, Torus *lwe_output_indexes,
Torus *lwe_array_in, Torus *lwe_input_indexes,
Torus *ksk, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log,
uint32_t level_count, int gpu_offset) {
const int tid = threadIdx.x + blockIdx.x * blockDim.x;
const int shmem_index = threadIdx.x + threadIdx.y * blockDim.x;
extern __shared__ int8_t sharedmem[];
Torus *lwe_acc_out = (Torus *)sharedmem;
auto block_lwe_array_out = get_chunk(
lwe_array_out, lwe_output_indexes[blockIdx.y], lwe_dimension_out + 1);
auto block_lwe_array_out =
get_chunk(lwe_array_out, lwe_output_indexes[blockIdx.y + gpu_offset],
lwe_dimension_out + 1);
if (tid <= lwe_dimension_out) {
Torus local_lwe_out = 0;
auto block_lwe_array_in = get_chunk(
lwe_array_in, lwe_input_indexes[blockIdx.y], lwe_dimension_in + 1);
auto block_lwe_array_in =
get_chunk(lwe_array_in, lwe_input_indexes[blockIdx.y + gpu_offset],
lwe_dimension_in + 1);
if (tid == lwe_dimension_out && threadIdx.y == 0) {
local_lwe_out = block_lwe_array_in[lwe_dimension_in];
@@ -75,8 +75,7 @@ keyswitch(Torus *lwe_array_out, const Torus *__restrict__ lwe_output_indexes,
level_count);
Torus state = a_i >> (sizeof(Torus) * 8 - base_log * level_count);
for (int j = level_count - 1; j >= 0; j--) {
// Levels are stored in reverse order
for (int j = 0; j < level_count; j++) {
auto ksk_block =
get_ith_block(ksk, i, j, lwe_dimension_out, level_count);
Torus decomposed = decompose_one<Torus>(state, mask_mod_b, base_log);
@@ -100,12 +99,12 @@ keyswitch(Torus *lwe_array_out, const Torus *__restrict__ lwe_output_indexes,
}
template <typename Torus>
__host__ void host_keyswitch_lwe_ciphertext_vector(
__host__ void cuda_keyswitch_lwe_ciphertext_vector(
cudaStream_t stream, uint32_t gpu_index, Torus *lwe_array_out,
Torus const *lwe_output_indexes, Torus const *lwe_array_in,
Torus const *lwe_input_indexes, Torus const *ksk, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log, uint32_t level_count,
uint32_t num_samples) {
Torus *lwe_output_indexes, Torus *lwe_array_in, Torus *lwe_input_indexes,
Torus *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t gpu_offset = 0) {
cudaSetDevice(gpu_index);
@@ -121,196 +120,42 @@ __host__ void host_keyswitch_lwe_ciphertext_vector(
keyswitch<Torus><<<grid, threads, shared_mem, stream>>>(
lwe_array_out, lwe_output_indexes, lwe_array_in, lwe_input_indexes, ksk,
lwe_dimension_in, lwe_dimension_out, base_log, level_count);
lwe_dimension_in, lwe_dimension_out, base_log, level_count, gpu_offset);
check_cuda_error(cudaGetLastError());
}
template <typename Torus>
void execute_keyswitch_async(cudaStream_t const *streams,
uint32_t const *gpu_indexes, uint32_t gpu_count,
const LweArrayVariant<Torus> &lwe_array_out,
const LweArrayVariant<Torus> &lwe_output_indexes,
const LweArrayVariant<Torus> &lwe_array_in,
const LweArrayVariant<Torus> &lwe_input_indexes,
Torus *const *ksks, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log,
uint32_t level_count, uint32_t num_samples) {
void execute_keyswitch(cudaStream_t *streams, uint32_t *gpu_indexes,
uint32_t gpu_count, Torus *lwe_array_out,
Torus *lwe_output_indexes, Torus *lwe_array_in,
Torus *lwe_input_indexes, Torus **ksks,
uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count,
uint32_t num_samples, bool sync_streams = true) {
/// If the number of radix blocks is lower than the number of GPUs, not all
/// GPUs will be active and there will be 1 input per GPU
for (uint i = 0; i < gpu_count; i++) {
auto active_gpu_count = get_active_gpu_count(num_samples, gpu_count);
int num_samples_on_gpu_0 = get_num_inputs_on_gpu(num_samples, 0, gpu_count);
if (sync_streams)
cuda_synchronize_stream(streams[0], gpu_indexes[0]);
#pragma omp parallel for num_threads(active_gpu_count)
for (uint i = 0; i < active_gpu_count; i++) {
int num_samples_on_gpu = get_num_inputs_on_gpu(num_samples, i, gpu_count);
Torus *current_lwe_array_out = GET_VARIANT_ELEMENT(lwe_array_out, i);
Torus *current_lwe_output_indexes =
GET_VARIANT_ELEMENT(lwe_output_indexes, i);
Torus *current_lwe_array_in = GET_VARIANT_ELEMENT(lwe_array_in, i);
Torus *current_lwe_input_indexes =
GET_VARIANT_ELEMENT(lwe_input_indexes, i);
int gpu_offset = get_gpu_offset(num_samples, i, gpu_count);
// Compute Keyswitch
host_keyswitch_lwe_ciphertext_vector<Torus>(
streams[i], gpu_indexes[i], current_lwe_array_out,
current_lwe_output_indexes, current_lwe_array_in,
current_lwe_input_indexes, ksks[i], lwe_dimension_in, lwe_dimension_out,
base_log, level_count, num_samples_on_gpu);
cuda_keyswitch_lwe_ciphertext_vector<Torus>(
streams[i], gpu_indexes[i], lwe_array_out, lwe_output_indexes,
lwe_array_in, lwe_input_indexes, ksks[i], lwe_dimension_in,
lwe_dimension_out, base_log, level_count, num_samples_on_gpu,
gpu_offset);
}
}
template <typename Torus>
__host__ void scratch_packing_keyswitch_lwe_list_to_glwe(
cudaStream_t stream, uint32_t gpu_index, int8_t **fp_ks_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t num_lwes,
bool allocate_gpu_memory) {
cudaSetDevice(gpu_index);
int glwe_accumulator_size = (glwe_dimension + 1) * polynomial_size;
if (allocate_gpu_memory)
*fp_ks_buffer = (int8_t *)cuda_malloc_async(
2 * num_lwes * glwe_accumulator_size * sizeof(Torus), stream,
gpu_index);
}
// public functional packing keyswitch for a single LWE ciphertext
//
// Assumes there are (glwe_dimension+1) * polynomial_size threads split through
// different thread blocks at the x-axis to work on that input.
template <typename Torus>
__device__ void packing_keyswitch_lwe_ciphertext_into_glwe_ciphertext(
Torus *glwe_out, Torus const *lwe_in, Torus const *fp_ksk,
uint32_t lwe_dimension_in, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count) {
const int tid = threadIdx.x + blockIdx.x * blockDim.x;
size_t glwe_size = (glwe_dimension + 1);
if (tid < glwe_size * polynomial_size) {
const int local_index = threadIdx.x;
// the output_glwe is split in polynomials and each x-block takes one of
// them
size_t poly_id = blockIdx.x;
size_t coef_per_block = blockDim.x;
// number of coefficients inside fp-ksk block for each lwe_input coefficient
size_t ksk_block_size = glwe_size * polynomial_size * level_count;
// initialize accumulator to 0
glwe_out[tid] = SEL(0, lwe_in[lwe_dimension_in],
tid == glwe_dimension * polynomial_size);
// Iterate through all lwe elements
for (int i = 0; i < lwe_dimension_in; i++) {
// Round and prepare decomposition
Torus a_i = round_to_closest_multiple(lwe_in[i], base_log, level_count);
Torus state = a_i >> (sizeof(Torus) * 8 - base_log * level_count);
Torus mod_b_mask = (1ll << base_log) - 1ll;
// block of key for current lwe coefficient (cur_input_lwe[i])
auto ksk_block = &fp_ksk[i * ksk_block_size];
for (int j = level_count - 1; j >= 0; j--) {
// Levels are stored in reverse order
auto ksk_glwe = &ksk_block[j * glwe_size * polynomial_size];
// Iterate through each level and multiply by the ksk piece
auto ksk_glwe_chunk = &ksk_glwe[poly_id * coef_per_block];
Torus decomposed = decompose_one<Torus>(state, mod_b_mask, base_log);
glwe_out[tid] -= decomposed * ksk_glwe_chunk[local_index];
}
if (sync_streams)
for (uint i = 0; i < active_gpu_count; i++) {
cuda_synchronize_stream(streams[i], gpu_indexes[i]);
}
}
}
// public functional packing keyswitch for a batch of LWE ciphertexts
//
// Selects the input each thread is working on using the y-block index.
//
// Assumes there are (glwe_dimension+1) * polynomial_size threads split through
// different thread blocks at the x-axis to work on that input.
template <typename Torus>
__global__ void packing_keyswitch_lwe_list_to_glwe(
Torus *glwe_array_out, Torus const *lwe_array_in, Torus const *fp_ksk,
uint32_t lwe_dimension_in, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
Torus *d_mem) {
const int tid = threadIdx.x + blockIdx.x * blockDim.x;
const int glwe_accumulator_size = (glwe_dimension + 1) * polynomial_size;
const int lwe_size = (lwe_dimension_in + 1);
const int input_id = blockIdx.y;
const int degree = input_id;
// Select an input
auto lwe_in = lwe_array_in + input_id * lwe_size;
auto ks_glwe_out = d_mem + input_id * glwe_accumulator_size;
auto glwe_out = glwe_array_out + input_id * glwe_accumulator_size;
// KS LWE to GLWE
packing_keyswitch_lwe_ciphertext_into_glwe_ciphertext<Torus>(
ks_glwe_out, lwe_in, fp_ksk, lwe_dimension_in, glwe_dimension,
polynomial_size, base_log, level_count);
// P * x ^degree
auto in_poly = ks_glwe_out + (tid / polynomial_size) * polynomial_size;
auto out_result = glwe_out + (tid / polynomial_size) * polynomial_size;
polynomial_accumulate_monic_monomial_mul<Torus>(out_result, in_poly, degree,
tid % polynomial_size,
polynomial_size, 1, true);
}
/// To-do: Rewrite this kernel for efficiency
template <typename Torus>
__global__ void accumulate_glwes(Torus *glwe_out, Torus *glwe_array_in,
uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t num_lwes) {
const int tid = threadIdx.x + blockIdx.x * blockDim.x;
if (tid < (glwe_dimension + 1) * polynomial_size) {
glwe_out[tid] = glwe_array_in[tid];
// Accumulate
for (int i = 1; i < num_lwes; i++) {
auto glwe_in = glwe_array_in + i * (glwe_dimension + 1) * polynomial_size;
glwe_out[tid] += glwe_in[tid];
}
}
}
template <typename Torus>
__host__ void host_packing_keyswitch_lwe_list_to_glwe(
cudaStream_t stream, uint32_t gpu_index, Torus *glwe_out,
Torus const *lwe_array_in, Torus const *fp_ksk_array, int8_t *fp_ks_buffer,
uint32_t lwe_dimension_in, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_lwes) {
if (num_lwes > polynomial_size)
PANIC("Cuda error: too many LWEs to pack. The number of LWEs should be "
"smaller than "
"polynomial_size.")
cudaSetDevice(gpu_index);
int glwe_accumulator_size = (glwe_dimension + 1) * polynomial_size;
int num_blocks = 0, num_threads = 0;
getNumBlocksAndThreads(glwe_accumulator_size, 128, num_blocks, num_threads);
dim3 grid(num_blocks, num_lwes);
dim3 threads(num_threads);
auto d_mem = (Torus *)fp_ks_buffer;
auto d_tmp_glwe_array_out = d_mem + num_lwes * glwe_accumulator_size;
// individually keyswitch each lwe
packing_keyswitch_lwe_list_to_glwe<Torus><<<grid, threads, 0, stream>>>(
d_tmp_glwe_array_out, lwe_array_in, fp_ksk_array, lwe_dimension_in,
glwe_dimension, polynomial_size, base_log, level_count, d_mem);
check_cuda_error(cudaGetLastError());
// accumulate to a single glwe
accumulate_glwes<Torus><<<num_blocks, threads, 0, stream>>>(
glwe_out, d_tmp_glwe_array_out, glwe_dimension, polynomial_size,
num_lwes);
check_cuda_error(cudaGetLastError());
}
#endif

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