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2 Commits

Author SHA1 Message Date
Arthur Meyre
e1f5d36224 chore: fix bytemuck version to be compatible with pulp
- avx512 intrinsics were not stable back then and APIs have changed, using
an older version of bytemuck compatible with the fixed pulp version solves
compilation issues on x86
2026-03-19 09:34:24 +01:00
Arthur Meyre
cfcdfa7c30 Artifact AsiaCrypt 2025: Accelerating TFHE with Sorted-Bootstrapping Techniques.
Co-authored-by: Loris Bergerat <loris.bergerat@zama.ai>
Co-authored-by: Arthur Meyre <arthur.meyre@zama.ai>
Co-authored-by: Jean-Baptiste Orfila <jb.orfila@zama.ai>
Co-authored-by: Adeline Roux Langlois <adeline.roux-langlois@cnrs.fr>
Co-authored-by: Samuel Tap <samuel.tap@zama.ai>
2026-01-15 09:44:06 +01:00
1022 changed files with 47528 additions and 116725 deletions

View File

@@ -1,6 +1,2 @@
[alias]
xtask = "run --manifest-path ./tasks/Cargo.toml --"
# Accessed by wasm-bindgen when testing for the wasm target
[target.wasm32-unknown-unknown]
runner = 'wasm-bindgen-test-runner'

View File

@@ -26,7 +26,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -44,13 +44,16 @@ 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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -72,7 +75,7 @@ jobs:
echo "branch=${BRANCH}" >> "${GITHUB_OUTPUT}"
- name: Clone test data
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
repository: zama-ai/tfhe-backward-compat-data
@@ -87,7 +90,7 @@ 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: "Backward compatibility tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -100,7 +103,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -111,7 +114,7 @@ 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 (backward-compat-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -26,7 +26,6 @@ jobs:
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 }}
@@ -51,31 +50,24 @@ 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
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
uses: tj-actions/changed-files@6b2903bdce6310cfbddd87c418f253cf29b2dec9
with:
since_last_remote_commit: true
files_yaml: |
dependencies:
- tfhe/Cargo.toml
- tfhe-csprng/**
- tfhe-fft/**
- concrete-csprng/**
- tfhe-zk-pok/**
- utils/tfhe-versionable/**
- utils/tfhe-versionable-derive/**
csprng:
- tfhe-csprng/**
- concrete-csprng/**
zk_pok:
- tfhe-zk-pok/**
versionable:
- utils/tfhe-versionable/**
- utils/tfhe-versionable-derive/**
core_crypto:
- tfhe/src/core_crypto/**
boolean:
@@ -111,7 +103,6 @@ jobs:
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' ||
@@ -133,7 +124,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -153,31 +144,29 @@ 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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
- name: Run tfhe-csprng tests
- name: Run concrete-csprng tests
if: needs.should-run.outputs.csprng_test == 'true'
run: |
make test_tfhe_csprng
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: |
@@ -193,37 +182,10 @@ jobs:
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' ||
@@ -246,18 +208,14 @@ jobs:
run: |
make test_high_level_api
- name: Run safe serialization tests
- name: Run safe deserialization tests
run: |
make test_safe_serialization
- name: Run zk tests
run: |
make test_zk
make test_safe_deserialization
- 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 }})"
@@ -270,7 +228,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -281,7 +239,7 @@ 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 }})"

View File

@@ -34,13 +34,12 @@ 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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -75,9 +74,9 @@ 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 }})"

View File

@@ -24,7 +24,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -53,17 +53,16 @@ jobs:
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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -95,9 +94,9 @@ jobs:
make pcc_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 }})"
@@ -110,7 +109,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -121,7 +120,7 @@ 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 }})"

View File

@@ -27,14 +27,13 @@ jobs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
uses: tj-actions/changed-files@6b2903bdce6310cfbddd87c418f253cf29b2dec9
with:
since_last_remote_commit: true
files_yaml: |
@@ -43,17 +42,11 @@ jobs:
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/server_key/radix_parallel/tests_unsigned/**
- tfhe/src/integer/server_key/radix_parallel/tests_signed/**
- tfhe/src/integer/server_key/radix_parallel/tests_cases_unsigned.rs
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/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)
@@ -66,13 +59,13 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
backend: aws
profile: gpu-test
cuda-tests-linux:
@@ -91,35 +84,22 @@ jobs:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ 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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -142,14 +122,9 @@ 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
run: |
make test_core_crypto_gpu
make test_integer_compression_gpu
make test_cuda_backend
- name: Run user docs tests
@@ -164,18 +139,13 @@ 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)
@@ -185,7 +155,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -196,7 +166,7 @@ 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

@@ -21,6 +21,7 @@ on:
types:
- opened
- synchronize
- labeled
schedule:
# Nightly tests @ 1AM after each work day
- cron: "0 1 * * MON-FRI"
@@ -34,14 +35,13 @@ jobs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
uses: tj-actions/changed-files@6b2903bdce6310cfbddd87c418f253cf29b2dec9
with:
since_last_remote_commit: true
files_yaml: |
@@ -50,37 +50,32 @@ jobs:
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/server_key/radix_parallel/tests_unsigned/**
- tfhe/src/integer/server_key/radix_parallel/tests_signed/**
- tfhe/src/integer/server_key/radix_parallel/tests_cases_unsigned.rs
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/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'
(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@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
backend: aws
profile: gpu-test
cuda-unsigned-integer-tests:
@@ -99,33 +94,20 @@ jobs:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ 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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -156,26 +138,22 @@ jobs:
echo "NIGHTLY_TESTS=TRUE";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run unsigned integer tests
if: github.event_name != 'pull_request' || contains(github.event.label.name, 'approved')
run: |
make test_unsigned_integer_gpu_ci
- 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
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
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 }})"
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CUDA AWS unsigned integer tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-tests)
@@ -185,7 +163,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -196,7 +174,7 @@ 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-unsigned-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -19,62 +19,28 @@ on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [labeled]
types: [ labeled ]
push:
branches:
- main
schedule:
# Nightly tests @ 3AM after each work day
- cron: "0 3 * * MON-FRI"
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
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
persist-credentials: "false"
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
with:
since_last_remote_commit: true
files_yaml: |
integer:
- tfhe/Cargo.toml
- tfhe-csprng/**
- tfhe-fft/**
- 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 == '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
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -92,13 +58,16 @@ 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: ${{ secrets.FHE_ACTIONS_TOKEN }}
persist-credentials: 'false'
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -124,9 +93,9 @@ jobs:
AVX512_SUPPORT=ON NO_BIG_PARAMS=${{ env.NO_BIG_PARAMS }} 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 }})"
@@ -134,12 +103,12 @@ 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@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -150,7 +119,7 @@ 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

@@ -28,14 +28,13 @@ jobs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
uses: tj-actions/changed-files@6b2903bdce6310cfbddd87c418f253cf29b2dec9
with:
since_last_remote_commit: true
files_yaml: |
@@ -44,17 +43,11 @@ jobs:
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/server_key/radix_parallel/tests_unsigned/**
- tfhe/src/integer/server_key/radix_parallel/tests_signed/**
- tfhe/src/integer/server_key/radix_parallel/tests_cases_unsigned.rs
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/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)
@@ -68,13 +61,13 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
backend: aws
profile: multi-gpu-test
cuda-tests-linux:
@@ -93,35 +86,20 @@ jobs:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ 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
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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -144,43 +122,30 @@ jobs:
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
make test_integer_multi_bit_gpu_ci
- name: Run user docs tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_user_doc_gpu
make test_user_doc_gpu
- name: Test C API
run: |
BIG_TESTS_INSTANCE=TRUE make test_c_api_gpu
make test_c_api_gpu
- name: Run High Level API Tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_high_level_api_gpu
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: "Multi-GPU tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CUDA AWS multi-GPU tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-tests-multi-gpu)
@@ -190,7 +155,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -201,7 +166,7 @@ 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-multi-gpu) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -22,6 +22,7 @@ on:
types:
- opened
- synchronize
- labeled
schedule:
# Nightly tests @ 1AM after each work day
- cron: "0 1 * * MON-FRI"
@@ -35,14 +36,13 @@ jobs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
uses: tj-actions/changed-files@6b2903bdce6310cfbddd87c418f253cf29b2dec9
with:
since_last_remote_commit: true
files_yaml: |
@@ -51,17 +51,11 @@ jobs:
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/server_key/radix_parallel/tests_unsigned/**
- tfhe/src/integer/server_key/radix_parallel/tests_signed/**
- tfhe/src/integer/server_key/radix_parallel/tests_cases_unsigned.rs
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/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)
@@ -69,19 +63,20 @@ jobs:
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'
(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')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
backend: aws
profile: gpu-test
cuda-signed-integer-tests:
@@ -100,36 +95,20 @@ jobs:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ 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
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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -160,26 +139,22 @@ jobs:
echo "NIGHTLY_TESTS=TRUE";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run signed integer tests
if: github.event_name != 'pull_request' || contains(github.event.label.name, 'approved')
run: |
make test_signed_integer_gpu_ci
- 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
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
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 }})"
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CUDA AWS signed integer tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-tests)
@@ -189,7 +164,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -200,7 +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-signed-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -19,62 +19,28 @@ on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [labeled]
types: [ labeled ]
push:
branches:
- main
schedule:
# Nightly tests @ 3AM after each work day
- cron: "0 3 * * MON-FRI"
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
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
persist-credentials: "false"
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
with:
since_last_remote_commit: true
files_yaml: |
integer:
- tfhe/Cargo.toml
- tfhe-csprng/**
- tfhe-fft/**
- 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 == '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
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -92,13 +58,16 @@ 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: ${{ secrets.FHE_ACTIONS_TOKEN }}
persist-credentials: 'false'
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -128,9 +97,9 @@ jobs:
AVX512_SUPPORT=ON NO_BIG_PARAMS=${{ env.NO_BIG_PARAMS }} 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 }})"
@@ -138,12 +107,12 @@ 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@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -154,7 +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 (signed-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -40,9 +40,6 @@ jobs:
shortint_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.shortint_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
strings_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.strings_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 }}
@@ -60,24 +57,22 @@ 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
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
uses: tj-actions/changed-files@6b2903bdce6310cfbddd87c418f253cf29b2dec9
with:
since_last_remote_commit: true
files_yaml: |
dependencies:
- tfhe/Cargo.toml
- tfhe-csprng/**
- tfhe-fft/**
- concrete-csprng/**
- tfhe-zk-pok/**
csprng:
- tfhe-csprng/**
- concrete-csprng/**
zk_pok:
- tfhe-zk-pok/**
core_crypto:
@@ -88,11 +83,6 @@ jobs:
shortint:
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
strings:
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
- tfhe/src/integer/**
- tfhe/src/strings/**
high_level_api:
- tfhe/src/**
- '!tfhe/src/c_api/**'
@@ -122,7 +112,6 @@ jobs:
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.strings_any_changed == 'true' ||
steps.changed-files.outputs.high_level_api_any_changed == 'true' ||
steps.changed-files.outputs.c_api_any_changed == 'true' ||
steps.changed-files.outputs.examples_any_changed == 'true' ||
@@ -142,7 +131,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -162,20 +151,23 @@ 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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
- name: Run tfhe-csprng tests
- name: Run concrete-csprng tests
if: needs.should-run.outputs.csprng_test == 'true'
run: |
make test_tfhe_csprng
make test_concrete_csprng
- name: Run tfhe-zk-pok tests
if: needs.should-run.outputs.zk_pok_test == 'true'
@@ -212,11 +204,6 @@ jobs:
run: |
BIG_TESTS_INSTANCE=TRUE make test_shortint_ci
- name: Run strings tests
if: needs.should-run.outputs.strings_test == 'true'
run: |
BIG_TESTS_INSTANCE=TRUE make test_strings
- name: Run high-level API tests
if: needs.should-run.outputs.high_level_api_test == 'true'
run: |
@@ -235,9 +222,9 @@ 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 }})"
@@ -250,7 +237,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -261,7 +248,7 @@ 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@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -45,68 +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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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
- name: Run x86_64/wasm zk compatibility tests
run: |
make test_zk_wasm_x86_compat_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 }})"
@@ -119,7 +90,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -130,7 +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

@@ -1,141 +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@98f0788261a7323d5d695a883e20df36591a92b7
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: Install rust
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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@98f0788261a7323d5d695a883e20df36591a92b7
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

@@ -1,41 +0,0 @@
# Run CUDA ERC20 benchmarks on a Hyperstack VM and return parsed results to Slab CI bot.
name: Cuda ERC20 benchmarks
on:
workflow_dispatch:
inputs:
profile:
description: "Instance type"
required: true
type: choice
options:
- "l40 (n3-L40x1)"
- "single-h100 (n3-H100x1)"
- "2-h100 (n3-H100x2)"
- "multi-h100 (n3-H100x8)"
jobs:
parse-inputs:
runs-on: ubuntu-latest
outputs:
profile: ${{ steps.parse_profile.outputs.profile }}
hardware_name: ${{ steps.parse_hardware_name.outputs.name }}
steps:
- name: Parse profile
id: parse_profile
run: |
echo "profile=$(echo '${{ inputs.profile }}' | sed 's|\(.*\)[[:space:]](.*)|\1|')" >> "${GITHUB_OUTPUT}"
- name: Parse hardware name
id: parse_hardware_name
run: |
echo "name=$(echo '${{ inputs.profile }}' | sed 's|.*[[:space:]](\(.*\))|\1|')" >> "${GITHUB_OUTPUT}"
run-benchmarks:
name: Run benchmarks
needs: parse-inputs
uses: ./.github/workflows/benchmark_gpu_erc20_common.yml
with:
profile: ${{ needs.parse-inputs.outputs.profile }}
hardware_name: ${{ needs.parse-inputs.outputs.hardware_name }}
secrets: inherit

View File

@@ -1,35 +0,0 @@
# Run CUDA ERC20 benchmarks on multiple Hyperstack VMs and return parsed results to Slab CI bot.
name: Cuda ERC20 weekly benchmarks
on:
schedule:
# Weekly benchmarks will be triggered each Saturday at 5a.m.
- cron: '0 5 * * 6'
jobs:
run-benchmarks-1-h100:
name: Run benchmarks (1xH100)
if: github.repository == 'zama-ai/tfhe-rs'
uses: ./.github/workflows/benchmark_gpu_erc20_common.yml
with:
profile: single-h100
hardware_name: n3-H100x1
secrets: inherit
run-benchmarks-2-h100:
name: Run benchmarks (2xH100)
if: github.repository == 'zama-ai/tfhe-rs'
uses: ./.github/workflows/benchmark_gpu_erc20_common.yml
with:
profile: 2-h100
hardware_name: n3-H100x2
secrets: inherit
run-benchmarks-8-h100:
name: Run benchmarks (8xH100)
if: github.repository == 'zama-ai/tfhe-rs'
uses: ./.github/workflows/benchmark_gpu_erc20_common.yml
with:
profile: multi-h100
hardware_name: n3-H100x8
secrets: inherit

View File

@@ -1,78 +0,0 @@
# Run CUDA benchmarks on a Hyperstack VM and return parsed results to Slab CI bot.
name: Cuda benchmarks
on:
workflow_dispatch:
inputs:
profile:
description: "Instance type"
required: true
type: choice
options:
- "l40 (n3-L40x1)"
- "single-h100 (n3-H100x1)"
- "2-h100 (n3-H100x2)"
- "4-h100 (n3-H100x4)"
- "multi-h100 (n3-H100x8)"
- "multi-h100-nvlink (n3-H100x8-NVLink)"
- "multi-a100-nvlink (n3-A100x8-NVLink)"
command:
description: "Benchmark command to run"
type: choice
default: integer_multi_bit
options:
- integer
- integer_multi_bit
- integer_compression
- pbs
- ks
op_flavor:
description: "Operations set to run"
type: choice
default: default
options:
- default
- fast_default
- unchecked
all_precisions:
description: "Run all precisions"
type: boolean
default: false
bench_type:
description: "Benchmarks type"
type: choice
default: latency
options:
- latency
- throughput
- both
jobs:
parse-inputs:
runs-on: ubuntu-latest
outputs:
profile: ${{ steps.parse_profile.outputs.profile }}
hardware_name: ${{ steps.parse_hardware_name.outputs.name }}
steps:
- name: Parse profile
id: parse_profile
run: |
echo "profile=$(echo '${{ inputs.profile }}' | sed 's|\(.*\)[[:space:]](.*)|\1|')" >> "${GITHUB_OUTPUT}"
- name: Parse hardware name
id: parse_hardware_name
run: |
echo "name=$(echo '${{ inputs.profile }}' | sed 's|.*[[:space:]](\(.*\))|\1|')" >> "${GITHUB_OUTPUT}"
run-benchmarks:
name: Run benchmarks
needs: parse-inputs
uses: ./.github/workflows/benchmark_gpu_integer_common.yml
with:
profile: ${{ needs.parse-inputs.outputs.profile }}
hardware_name: ${{ needs.parse-inputs.outputs.hardware_name }}
command: ${{ inputs.command }}
op_flavor: ${{ inputs.op_flavor }}
bench_type: ${{ inputs.bench_type }}
all_precisions: ${{ inputs.all_precisions }}
secrets: inherit

View File

@@ -1,288 +0,0 @@
# Run integer benchmarks on CUDA instance and return parsed results to Slab CI bot.
name: Cuda benchmarks - common
on:
workflow_call:
inputs:
backend:
type: string
default: hyperstack
profile:
type: string
required: true
hardware_name:
type: string
required: true
command: # Use a comma separated values to generate an array
type: string
required: true
op_flavor: # Use a comma separated values to generate an array
type: string
required: true
bench_type:
type: string
default: latency
all_precisions:
type: boolean
default: false
secrets:
FHE_ACTIONS_TOKEN:
required: true
SLAB_ACTION_TOKEN:
required: true
SLAB_BASE_URL:
required: true
SLAB_URL:
required: true
JOB_SECRET:
required: true
SLACK_CHANNEL:
required: true
BOT_USERNAME:
required: true
SLACK_WEBHOOK:
required: true
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
outputs:
command: ${{ steps.set_command.outputs.command }}
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
bench_type: ${{ steps.set_bench_type.outputs.bench_type }}
steps:
- name: Set single command
if: ${{ !contains(inputs.command, ',')}}
run: |
echo "COMMAND=[\"${{ inputs.command }}\"]" >> "${GITHUB_ENV}"
- name: Set multiple commands
if: ${{ contains(inputs.command, ',')}}
run: |
PARSED_COMMAND=$(echo "${{ inputs.command }}" | sed 's/[[:space:]]*,[[:space:]]*/\\", \\"/g')
echo "COMMAND=[\"${PARSED_COMMAND}\"]" >> "${GITHUB_ENV}"
- name: Set single operations flavor
if: ${{ !contains(inputs.op_flavor, ',')}}
run: |
echo "OP_FLAVOR=[\"${{ inputs.op_flavor }}\"]" >> "${GITHUB_ENV}"
- name: Set multiple operations flavors
if: ${{ contains(inputs.op_flavor, ',')}}
run: |
PARSED_OP_FLAVOR=$(echo "${{ inputs.op_flavor }}" | sed 's/[[:space:]]*,[[:space:]]*/", "/g')
echo "OP_FLAVOR=[\"${PARSED_OP_FLAVOR}\"]" >> "${GITHUB_ENV}"
- name: Set benchmark types
run: |
if [[ "${{ inputs.bench_type }}" == "both" ]]; then
echo "BENCH_TYPE=[\"latency\", \"throughput\"]" >> "${GITHUB_ENV}"
else
echo "BENCH_TYPE=[\"${{ inputs.bench_type }}\"]" >> "${GITHUB_ENV}"
fi
- name: Set command output
id: set_command
run: |
echo "command=${{ toJSON(env.COMMAND) }}" >> "${GITHUB_OUTPUT}"
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
- name: Set benchmark types output
id: set_bench_type
run: |
echo "bench_type=${{ toJSON(env.BENCH_TYPE) }}" >> "${GITHUB_OUTPUT}"
setup-instance:
name: Setup instance (cuda-${{ inputs.profile }}-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@98f0788261a7323d5d695a883e20df36591a92b7
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: ${{ inputs.backend }}
profile: ${{ inputs.profile }}
cuda-benchmarks:
name: Cuda benchmarks (${{ inputs.profile }})
needs: [ prepare-matrix, 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: ${{ fromJSON(needs.prepare-matrix.outputs.command) }}
op_flavor: ${{ fromJSON(needs.prepare-matrix.outputs.op_flavor) }}
bench_type: ${{ fromJSON(needs.prepare-matrix.outputs.bench_type) }}
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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: ${{ !cancelled() }}
run: nvidia-smi
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${GITHUB_ENV}"
- name: Run benchmarks
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} BENCH_TYPE=${{ matrix.bench_type }} bench_${{ matrix.command }}_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "${{ inputs.hardware_name }}" \
--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: 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-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-benchmarks.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-benchmarks.result }}
SLACK_MESSAGE: "Cuda benchmarks (${{ inputs.profile }}) finished with status: ${{ needs.cuda-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-${{ inputs.profile }}-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
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: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-${{ inputs.profile }}-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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@@ -1,60 +0,0 @@
# Run CUDA benchmarks on multiple Hyperstack VMs and return parsed results to Slab CI bot.
name: Cuda weekly benchmarks
on:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
jobs:
run-benchmarks-1-h100:
name: Run benchmarks (1xH100)
if: github.repository == 'zama-ai/tfhe-rs'
uses: ./.github/workflows/benchmark_gpu_integer_common.yml
with:
profile: single-h100
hardware_name: n3-H100x1
command: integer,integer_multi_bit
op_flavor: default
bench_type: latency
all_precisions: true
secrets: inherit
run-benchmarks-2-h100:
name: Run benchmarks (2xH100)
if: github.repository == 'zama-ai/tfhe-rs'
uses: ./.github/workflows/benchmark_gpu_integer_common.yml
with:
profile: 2-h100
hardware_name: n3-H100x2
command: integer_multi_bit
op_flavor: default
bench_type: latency
all_precisions: true
secrets: inherit
run-benchmarks-8-h100:
name: Run benchmarks (8xH100)
if: github.repository == 'zama-ai/tfhe-rs'
uses: ./.github/workflows/benchmark_gpu_integer_common.yml
with:
profile: multi-h100
hardware_name: n3-H100x8
command: integer_multi_bit
op_flavor: default
bench_type: latency
all_precisions: true
secrets: inherit
run-benchmarks-l40:
name: Run benchmarks (L40)
if: github.repository == 'zama-ai/tfhe-rs'
uses: ./.github/workflows/benchmark_gpu_integer_common.yml
with:
profile: l40
hardware_name: n3-L40x1
command: integer_multi_bit,integer_compression,pbs,ks
op_flavor: default
bench_type: latency
all_precisions: true
secrets: inherit

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@@ -1,143 +0,0 @@
# Run FFT benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: FFT benchmarks
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
RUST_BACKTRACE: "full"
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:
workflow_dispatch:
push:
branches:
- "main"
paths:
- tfhe-fft/**
- .github/workflows/benchmark_tfhe_fft.yml
schedule:
# Job will be triggered each Thursday at 11p.m.
- cron: '0 23 * * 4'
jobs:
setup-ec2:
name: Setup EC2 instance (fft-benchmarks)
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@98f0788261a7323d5d695a883e20df36591a92b7
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
fft-benchmarks:
name: Execute FFT benchmarks in EC2
needs: setup-ec2
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-ec2.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(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: Install rust
uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af
with:
toolchain: nightly
override: true
- name: Run benchmarks with AVX512
run: |
make bench_fft
- name: Parse AVX512 results
run: |
python3 ./ci/fft_benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database concrete_fft \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--name-suffix avx512
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_fft
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on downloaded artifact"
SIGNATURE="$(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@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe-fft benchmarks failed. (${{ env.ACTION_RUN_URL }})"
teardown-ec2:
name: Teardown EC2 instance (fft-benchmarks)
if: ${{ always() && needs.setup-ec2.result != 'skipped' }}
needs: [ setup-ec2, fft-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-ec2.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "EC2 teardown (fft-benchmarks) failed. (${{ env.ACTION_RUN_URL }})"

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@@ -1,143 +0,0 @@
# Run NTT benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: NTT benchmarks
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
RUST_BACKTRACE: "full"
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:
workflow_dispatch:
push:
branches:
- "main"
paths:
- tfhe-ntt/**
- .github/workflows/benchmark_tfhe_ntt.yml
schedule:
# Job will be triggered each Friday at 11p.m.
- cron: "0 23 * * 5"
jobs:
setup-ec2:
name: Setup EC2 instance (ntt-benchmarks)
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@98f0788261a7323d5d695a883e20df36591a92b7
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
ntt-benchmarks:
name: Execute NTT benchmarks in EC2
needs: setup-ec2
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-ec2.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(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: Install rust
uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af
with:
toolchain: nightly
override: true
- name: Run benchmarks
run: |
make bench_ntt
- name: Parse results
run: |
python3 ./ci/ntt_benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database concrete_ntt \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--name-suffix avx512
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_ntt
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on downloaded artifact"
SIGNATURE="$(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@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe-ntt benchmarks failed. (${{ env.ACTION_RUN_URL }})"
teardown-ec2:
name: Teardown EC2 instance (ntt-benchmarks)
if: ${{ always() && needs.setup-ec2.result != 'skipped' }}
needs: [setup-ec2, ntt-benchmarks]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-ec2.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "EC2 teardown (ntt-benchmarks) failed. (${{ env.ACTION_RUN_URL }})"

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@@ -1,172 +0,0 @@
# Run benchmarks of the tfhe-zk-pok crate on an instance and return parsed results to Slab CI bot.
name: tfhe-zk-pok benchmarks
on:
workflow_dispatch:
push:
branches:
- main
schedule:
# Weekly benchmarks will be triggered each Saturday at 3a.m.
- cron: '0 3 * * 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:
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')
outputs:
zk_pok_changed: ${{ steps.changed-files.outputs.zk_pok_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@4edd678ac3f81e2dc578756871e4d00c19191daf
with:
since_last_remote_commit: true
files_yaml: |
zk_pok:
- tfhe-zk-pok/**
- .github/workflows/benchmark_tfhe_zk_pok.yml
setup-instance:
name: Setup instance (tfhe-zk-pok-benchmarks)
runs-on: ubuntu-latest
needs: should-run
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' &&
needs.should-run.outputs.zk_pok_changed == 'true')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
tfhe-zk-pok-benchmarks:
name: Execute tfhe-zk-pok benchmarks
if: needs.setup-instance.result != 'skipped'
needs: setup-instance
concurrency:
group: ${{ github.workflow }}_${{github.event_name}}_${{ github.ref }}${{ github.ref == 'refs/heads/main' && github.sha || '' }}
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
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: Install rust
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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_tfhe_zk_pok
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--crate tfhe-zk-pok \
--hardware "hpc7a.96xlarge" \
--backend cpu \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_tfhe_zk_pok
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: "tfhe-zk-pok benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (tfhe-zk-pok-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, tfhe-zk-pok-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
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 (tfhe-zk-pok-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@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -48,10 +48,9 @@ jobs:
continue-on-error: true
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -61,8 +60,13 @@ jobs:
echo "COMMIT_HASH=$(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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
@@ -80,7 +84,8 @@ jobs:
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512
--name-suffix avx512 \
--throughput
- name: Measure key sizes
run: |
@@ -89,17 +94,17 @@ jobs:
- name: Parse key sizes results
run: |
python3 ./ci/benchmark_parser.py tfhe/boolean_key_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@0b2256b8c012f0828dc542b3febcab082c67f72b
with:
name: ${{ github.sha }}_boolean
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
@@ -108,13 +113,21 @@ 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() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Boolean benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -127,7 +140,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -138,7 +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 (boolean-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,4 +1,4 @@
name: Cargo Build TFHE-rs
name: Cargo Build
on:
pull_request:
@@ -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: [large_ubuntu_16, macos-latest-large, large_windows_16_latest]
fail-fast: false
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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 tfhe-csprng
if: ${{ contains(matrix.os, 'ubuntu') }}
- name: Build concrete-csprng
run: |
make build_tfhe_csprng
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

@@ -1,44 +0,0 @@
# Build tfhe-fft
name: Cargo Build tfhe-fft
on:
pull_request:
env:
CARGO_TERM_COLOR: always
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref }}
cancel-in-progress: true
jobs:
cargo-builds-fft:
runs-on: ${{ matrix.runner_type }}
strategy:
matrix:
runner_type: [ubuntu-latest, macos-latest, windows-latest]
fail-fast: false
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Install Rust
uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af
with:
toolchain: stable
override: true
- name: Run pcc checks
if: matrix.runner_type == 'ubuntu-latest'
run: |
sudo apt install -y libfftw3-dev
make pcc_fft
- name: Build release
run: |
make build_fft
- name: Build release no-std
run: |
make build_fft_no_std

View File

@@ -1,40 +0,0 @@
# Build tfhe-ntt
name: Cargo Build tfhe-ntt
on:
pull_request:
env:
CARGO_TERM_COLOR: always
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref }}
cancel-in-progress: true
jobs:
cargo-builds:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
fail-fast: false
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Install Rust
uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af
with:
toolchain: stable
override: true
- name: Run pcc checks
run: |
make pcc_ntt
- name: Build release
run: |
make build_ntt
- name: Build release no-std
run: |
make build_ntt_no_std

View File

@@ -1,71 +0,0 @@
# Test tfhe-fft
name: Cargo Test tfhe-fft
on:
pull_request:
env:
CARGO_TERM_COLOR: always
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref }}
cancel-in-progress: true
jobs:
cargo-tests:
runs-on: ${{ matrix.runner_type }}
strategy:
matrix:
runner_type: [ubuntu-latest, macos-latest, windows-latest]
fail-fast: false
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Install Rust
uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af
with:
toolchain: stable
override: true
- name: Test debug
run: |
make test_fft
- name: Test serialization
run: make test_fft_serde
- name: Test no-std
run: |
make test_fft_no_std
cargo-tests-nightly:
runs-on: ${{ matrix.runner_type }}
strategy:
matrix:
runner_type: [ubuntu-latest, macos-latest, windows-latest]
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Install Rust
uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af
with:
toolchain: nightly
override: true
- name: Test nightly
run: |
make test_fft_nightly
- name: Test no-std nightly
run: |
make test_fft_no_std_nightly
cargo-tests-node-js:
runs-on: "ubuntu-latest"
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Test node js
run: |
make install_node
make test_fft_node_js_ci

View File

@@ -1,54 +0,0 @@
# Test tfhe-ntt
name: Cargo Test tfhe-ntt
on:
pull_request:
env:
CARGO_TERM_COLOR: always
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref }}
cancel-in-progress: true
jobs:
cargo-tests:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
fail-fast: false
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Install Rust
uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af
with:
toolchain: stable
override: true
- name: Test debug
run: make test_ntt
- name: Test no-std
run: make test_ntt_no_std
cargo-tests-nightly:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Install Rust
uses: actions-rs/toolchain@16499b5e05bf2e26879000db0c1d13f7e13fa3af
with:
toolchain: nightly
override: true
- name: Test nightly
run: make test_ntt_nightly
- name: Test no-std nightly
run: make test_ntt_no_std_nightly

View File

@@ -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@5d6ac37a4cef8b8df67f482a8e384987766f0213 # v3.0.17
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@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -44,22 +44,26 @@ jobs:
timeout-minutes: 5760 # 4 days
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
uses: tj-actions/changed-files@6b2903bdce6310cfbddd87c418f253cf29b2dec9
with:
files_yaml: |
tfhe:
- tfhe/src/**
tfhe_csprng:
- tfhe-csprng/src/**
concrete_csprng:
- concrete-csprng/src/**
- name: Generate Keys
if: steps.changed-files.outputs.tfhe_any_changed == 'true'
@@ -83,7 +87,7 @@ jobs:
make test_shortint_cov
- name: Upload tfhe coverage to Codecov
uses: codecov/codecov-action@015f24e6818733317a2da2edd6290ab26238649a
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@015f24e6818733317a2da2edd6290ab26238649a
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@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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

@@ -26,7 +26,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -44,10 +44,9 @@ jobs:
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -57,8 +56,13 @@ jobs:
echo "COMMIT_HASH=$(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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
@@ -78,16 +82,17 @@ jobs:
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--name-suffix avx512 \
--walk-subdirs
--walk-subdirs \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
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
@@ -96,13 +101,21 @@ jobs:
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
echo "Computing HMac on downloaded artifact"
SIGNATURE="$(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@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "PBS benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -115,7 +128,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -126,7 +139,7 @@ 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 (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@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -56,7 +56,7 @@ jobs:
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
@@ -65,10 +65,9 @@ jobs:
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -84,7 +83,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
@@ -125,16 +124,17 @@ jobs:
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--name-suffix avx512 \
--walk-subdirs
--walk-subdirs \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
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
@@ -143,8 +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
@@ -154,7 +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 }})"
@@ -167,7 +175,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -178,7 +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@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -62,10 +65,10 @@ 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-csprng randomness check finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "concrete-csprng randomness check finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (csprng-randomness-tests)
@@ -75,7 +78,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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

@@ -117,7 +117,7 @@ jobs:
- name: Slack Notification
if: ${{ always() && job.status == 'failure' }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
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

@@ -39,10 +39,9 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -54,12 +53,12 @@ jobs:
echo "FAST_BENCH=TRUE" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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
@@ -79,10 +78,11 @@ jobs:
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs
--walk-subdirs \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
with:
name: ${{ github.sha }}_integer_multi_bit_gpu_default
path: ${{ env.RESULTS_FILENAME }}
@@ -90,13 +90,21 @@ 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: ${{ 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 }})"
@@ -113,10 +121,9 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -127,12 +134,12 @@ jobs:
} >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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
@@ -154,10 +161,10 @@ jobs:
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
@@ -177,9 +184,9 @@ 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

@@ -1,204 +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
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
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/integer/server_key/radix_parallel/tests_unsigned/**
- tfhe/src/integer/server_key/radix_parallel/tests_signed/**
- tfhe/src/integer/server_key/radix_parallel/tests_cases_unsigned.rs
- 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@98f0788261a7323d5d695a883e20df36591a92b7
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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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@98f0788261a7323d5d695a883e20df36591a92b7
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

@@ -1,156 +0,0 @@
# Compile and test tfhe-cuda-backend on an H100 VM on hyperstack
name: TFHE Cuda Backend - Full 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:
workflow_dispatch:
jobs:
setup-instance:
name: Setup instance (cuda-h100-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@98f0788261a7323d5d695a883e20df36591a92b7
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: [ setup-instance ]
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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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, integer and internal CUDA backend tests
run: |
make test_gpu
- name: Run user docs tests
run: |
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
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ 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: "Full H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-h100-tests)
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
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 }})"

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@@ -1,146 +0,0 @@
name: AWS Long Run Tests on 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 }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
schedule:
# Weekly tests will be triggered each Friday at 1a.m.
- cron: '0 1 * * FRI'
jobs:
setup-instance:
name: Setup instance (gpu-tests)
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
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@98f0788261a7323d5d695a883e20df36591a92b7
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:
name: Long run GPU H100 tests
needs: [ setup-instance ]
concurrency:
group: ${{ github.workflow }}_${{github.event_name}}_${{ github.ref }}
cancel-in-progress: true
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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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 tests
run: |
make test_integer_long_run_gpu
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-tests.result }}
SLACK_MESSAGE: "Integer GPU H100 long run tests finished with status: ${{ needs.cuda-tests.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (gpu-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
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 (gpu-long-run-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,188 +0,0 @@
# Signed integer GPU tests on an RTXA6000 VM on hyperstack with classical PBS
name: TFHE Cuda Backend - Signed integer tests with classical PBS
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@4edd678ac3f81e2dc578756871e4d00c19191daf
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/server_key/radix_parallel/tests_unsigned/**
- tfhe/src/integer/server_key/radix_parallel/tests_signed/**
- tfhe/src/integer/server_key/radix_parallel/tests_cases_unsigned.rs
- 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_classic_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
setup-instance:
name: Setup instance (cuda-signed-classic-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@98f0788261a7323d5d695a883e20df36591a92b7
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-tests-linux:
name: CUDA signed integer tests with classical PBS
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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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
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 signed integer tests with classical PBS finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-signed-classic-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@98f0788261a7323d5d695a883e20df36591a92b7
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-classic-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,188 +0,0 @@
# Test unsigned integers on an RTXA6000 VM on hyperstack with the classical PBS
name: TFHE Cuda Backend - Unsigned integer tests with classical PBS
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@4edd678ac3f81e2dc578756871e4d00c19191daf
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/server_key/radix_parallel/tests_unsigned/**
- tfhe/src/integer/server_key/radix_parallel/tests_signed/**
- tfhe/src/integer/server_key/radix_parallel/tests_cases_unsigned.rs
- 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_classic_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
setup-instance:
name: Setup instance (cuda-unsigned-classic-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@98f0788261a7323d5d695a883e20df36591a92b7
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-tests-linux:
name: CUDA unsigned integer tests with classical PBS
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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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
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 classic tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-unsigned-classic-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@98f0788261a7323d5d695a883e20df36591a92b7
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-classic-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,188 +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@4edd678ac3f81e2dc578756871e4d00c19191daf
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/server_key/radix_parallel/tests_unsigned/**
- tfhe/src/integer/server_key/radix_parallel/tests_signed/**
- tfhe/src/integer/server_key/radix_parallel/tests_cases_unsigned.rs
- 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_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@98f0788261a7323d5d695a883e20df36591a92b7
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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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 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@98f0788261a7323d5d695a883e20df36591a92b7
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

@@ -1,5 +1,5 @@
# Signed integer GPU tests on an H100 VM on hyperstack
name: TFHE Cuda Backend - Signed integer tests on H100
# Compile and test tfhe-cuda-backend on an H100 VM on hyperstack
name: TFHE Cuda Backend - Full tests on H100
env:
CARGO_TERM_COLOR: always
@@ -28,14 +28,13 @@ jobs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
uses: tj-actions/changed-files@6b2903bdce6310cfbddd87c418f253cf29b2dec9
with:
since_last_remote_commit: true
files_yaml: |
@@ -44,17 +43,11 @@ jobs:
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/server_key/radix_parallel/tests_unsigned/**
- tfhe/src/integer/server_key/radix_parallel/tests_signed/**
- tfhe/src/integer/server_key/radix_parallel/tests_cases_unsigned.rs
- tfhe/src/integer/gpu/**
- tfhe/src/shortint/parameters/**
- tfhe/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)
@@ -68,7 +61,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -78,7 +71,7 @@ jobs:
profile: single-h100
cuda-tests-linux:
name: CUDA H100 signed integer tests
name: CUDA H100 tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
@@ -102,7 +95,7 @@ jobs:
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
@@ -110,16 +103,15 @@ jobs:
make -j"$(nproc)"
sudo make install
- 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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -146,19 +138,40 @@ jobs:
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run signed integer multi-bit tests
- name: Run core crypto and internal CUDA backend tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_signed_integer_multi_bit_gpu_ci
make test_core_crypto_gpu
make test_cuda_backend
- name: Run integer tests
run: |
make test_integer_gpu_ci
- name: Run integer multi-bit tests
run: |
make test_integer_multi_bit_gpu_ci
- name: Run user docs tests
run: |
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
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' && failure() }}
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' }}
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: "Integer GPU H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -171,7 +184,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -182,7 +195,7 @@ 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 }})"

View File

@@ -8,14 +8,6 @@ on:
description: "Run all precisions"
type: boolean
default: false
bench_type:
description: "Benchmarks type"
type: choice
default: latency
options:
- latency
- throughput
- both
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
@@ -44,10 +36,10 @@ jobs:
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
bench_type: ${{ steps.set_bench_type.outputs.bench_type }}
steps:
- name: Weekly benchmarks
if: github.event.schedule == '0 1 * * 6'
if: github.event_name == 'workflow_dispatch' ||
github.event.schedule == '0 1 * * 6'
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
@@ -56,31 +48,11 @@ jobs:
run: |
echo "OP_FLAVOR=[\"default\", \"smart\", \"unchecked\", \"misc\"]" >> "${GITHUB_ENV}"
- name: Set benchmark types
if: github.event_name == 'workflow_dispatch'
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
if [[ "${{ inputs.bench_type }}" == "both" ]]; then
echo "BENCH_TYPE=[\"latency\", \"throughput\"]" >> "${GITHUB_ENV}"
else
echo "BENCH_TYPE=[\"${{ inputs.bench_type }}\"]" >> "${GITHUB_ENV}"
fi
- name: Default benchmark type
if: github.event_name != 'workflow_dispatch'
run: |
echo "BENCH_TYPE=[\"latency\"]" >> "${GITHUB_ENV}"
- name: Set operation flavor output
id: set_op_flavor
run: |
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
- name: Set benchmark types output
id: set_bench_type
run: |
echo "bench_type=${{ toJSON(env.BENCH_TYPE) }}" >> "${GITHUB_OUTPUT}"
setup-instance:
name: Setup instance (integer-benchmarks)
needs: prepare-matrix
@@ -90,7 +62,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -113,13 +85,11 @@ jobs:
matrix:
command: [ integer, integer_multi_bit]
op_flavor: ${{ fromJson(needs.prepare-matrix.outputs.op_flavor) }}
bench_type: ${{ fromJSON(needs.prepare-matrix.outputs.bench_type) }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -129,13 +99,18 @@ jobs:
echo "COMMIT_HASH=$(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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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
@@ -148,13 +123,7 @@ jobs:
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} BENCH_TYPE=${{ matrix.bench_type }} bench_${{ matrix.command }}
# Run these benchmarks only once per benchmark type
- name: Run compression benchmarks with AVX512
if: matrix.op_flavor == 'default' && matrix.command == 'integer'
run: |
make BENCH_TYPE=${{ matrix.bench_type }} bench_integer_compression
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}
- name: Parse results
run: |
@@ -167,24 +136,32 @@ jobs:
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--bench-type ${{ matrix.bench_type }}
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}_${{ matrix.bench_type }}
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() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Integer full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -197,7 +174,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -208,7 +185,7 @@ 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 (integer-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,35 +1,11 @@
# Run ERC20 benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Cuda ERC20 benchmarks - common
# Run integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Integer GPU benchmarks
on:
workflow_call:
inputs:
backend:
type: string
default: hyperstack
profile:
type: string
required: true
hardware_name:
type: string
required: true
secrets:
FHE_ACTIONS_TOKEN:
required: true
SLAB_ACTION_TOKEN:
required: true
SLAB_BASE_URL:
required: true
SLAB_URL:
required: true
JOB_SECRET:
required: true
SLACK_CHANNEL:
required: true
BOT_USERNAME:
required: true
SLACK_WEBHOOK:
required: true
workflow_dispatch:
push:
branches:
- main
env:
CARGO_TERM_COLOR: always
@@ -45,26 +21,26 @@ env:
jobs:
setup-instance:
name: Setup instance (cuda-erc20-benchmarks)
name: Setup instance (cuda-integer-benchmarks)
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')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: ${{ inputs.backend }}
profile: ${{ inputs.profile }}
backend: hyperstack
profile: single-h100
cuda-erc20-benchmarks:
name: Cuda ERC20 benchmarks (${{ inputs.profile }})
cuda-integer-benchmarks:
name: Execute GPU integer benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
@@ -92,10 +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: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -111,7 +86,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: nightly
@@ -139,31 +114,43 @@ jobs:
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks
- name: Run benchmarks with AVX512
run: |
make bench_hlapi_erc20_gpu
make FAST_BENCH=TRUE BENCH_OP_FLAVOR=default bench_integer_gpu
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "${{ inputs.hardware_name }}" \
--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-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
with:
name: ${{ github.sha }}_erc20
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
@@ -172,31 +159,39 @@ 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-erc20-benchmarks ]
needs: [ setup-instance, cuda-integer-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-erc20-benchmarks.result != 'skipped' && failure() }}
if: ${{ always() && needs.cuda-integer-benchmarks.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-erc20-benchmarks.result }}
SLACK_MESSAGE: "Cuda ERC20 benchmarks (${{ inputs.profile }}) finished with status: ${{ needs.cuda-erc20-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
SLACK_COLOR: ${{ needs.cuda-integer-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU benchmarks finished with status: ${{ needs.cuda-integer-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-erc20-${{ inputs.profile }}-benchmarks)
name: Teardown instance (cuda-integer-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-erc20-benchmarks, slack-notify ]
needs: [ setup-instance, cuda-integer-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -207,7 +202,7 @@ 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: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-erc20-${{ inputs.profile }}-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "Instance teardown (cuda-integer-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -0,0 +1,201 @@
# Run all integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Integer GPU full 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-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@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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-integer-full-benchmarks:
name: Execute GPU integer benchmarks for all operations flavor
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer, integer_multi_bit]
op_flavor: [default, unchecked]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(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: 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@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
- 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 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
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-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-full-benchmarks ]
runs-on: ubuntu-latest
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-integer-full-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-integer-full-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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@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

@@ -1,94 +0,0 @@
name: AWS Long Run 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:
schedule:
# Weekly tests will be triggered each Friday at 1a.m.
- cron: '0 1 * * FRI'
jobs:
setup-instance:
name: Setup instance (cpu-tests)
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
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@98f0788261a7323d5d695a883e20df36591a92b7
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: cpu-big
cpu-tests:
name: Long run CPU tests
needs: [ setup-instance ]
concurrency:
group: ${{ github.workflow }}_${{github.event_name}}_${{ 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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
with:
toolchain: stable
- name: Run tests
run: |
make test_integer_long_run
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CPU long run tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cpu-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cpu-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
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 (cpu-long-run-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -0,0 +1,232 @@
# Run integer benchmarks with multi-bit cryptographic parameters on an instance and return parsed results to Slab CI bot.
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'
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 }}
FAST_BENCH: TRUE
BENCH_OP_FLAVOR: default
jobs:
setup-instance:
name: Setup instance (cuda-integer-multi-bit-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@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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-integer-multi-bit-benchmarks:
name: Execute GPU integer multi-bit benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(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: 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 }}";
} >> "${GITHUB_ENV}"
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${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: ${{ !cancelled() }}
run: nvidia-smi
- name: Run multi-bit benchmarks with AVX512
run: |
make bench_unsigned_integer_multi_bit_gpu
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- 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 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
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 }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-multi-bit-benchmarks ]
runs-on: ubuntu-latest
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-integer-full-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-integer-multi-bit-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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@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

@@ -0,0 +1,221 @@
# Run 64-bit multi-bit integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
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'
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
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' }}
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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-nvlink
cuda-integer-multi-bit-multi-gpu-benchmarks:
name: Execute multi GPU integer multi-bit benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(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: 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@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
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x8-NVLink" \
--backend gpu \
--project-version "${{ 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@0b2256b8c012f0828dc542b3febcab082c67f72b
with:
name: ${{ github.sha }}_integer
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-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-multi-bit-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-integer-multi-bit-multi-gpu-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-integer-multi-bit-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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@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

@@ -0,0 +1,201 @@
# Run all integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Integer multi GPU full 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-multi-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@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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-nvlink
cuda-integer-full-multi-gpu-benchmarks:
name: Execute multi GPU integer benchmarks for all operations flavor
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer, integer_multi_bit]
op_flavor: [default, unchecked]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(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: 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@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
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x8-NVLink" \
--backend gpu \
--project-version "${{ 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@0b2256b8c012f0828dc542b3febcab082c67f72b
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-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-full-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-integer-full-multi-gpu-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-integer-full-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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@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

@@ -3,7 +3,7 @@ name: Tests on M1 CPU
on:
workflow_dispatch:
pull_request:
types: [labeled]
types: [ labeled ]
# Have a nightly build for M1 tests
schedule:
# * is a special character in YAML so you have to quote this string
@@ -27,66 +27,29 @@ concurrency:
cancel-in-progress: true
jobs:
cargo-builds-m1:
cargo-builds:
if: ${{ (github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') || github.event_name == 'workflow_dispatch' || contains(github.event.label.name, 'm1_test') }}
runs-on: ["self-hosted", "m1mac"]
# 12 hours, default is 6 hours, hopefully this is more than enough
timeout-minutes: 720
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: "false"
persist-credentials: 'false'
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
- name: Run pcc FFT checks
run: |
make pcc_fft
- name: Build FFT release
run: |
make build_fft
- name: Build FFT release no-std
run: |
make build_fft_no_std
- name: Run FFT tests
run: |
make test_fft
make test_fft_serde
make test_fft_nightly
make test_fft_no_std
make test_fft_no_std_nightly
# we don't run the js stuff here as it's causing issues with the M1 config
- name: Run pcc NTT checks
run: |
make pcc_ntt
- name: Build NTT release
run: |
make build_ntt
- name: Build NTT release no-std
run: |
make build_ntt_no_std
- name: Run NTT tests
run: |
make test_ntt_all
- name: Run pcc checks
run: |
make pcc
- name: Build tfhe-csprng
- name: Build concrete-csprng
run: |
make build_tfhe_csprng
make build_concrete_csprng
- name: Build Release core
run: |
@@ -112,9 +75,9 @@ jobs:
run: |
make build_c_api
- name: Run tfhe-csprng tests
- name: Run concrete-csprng tests
run: |
make test_tfhe_csprng
make test_concrete_csprng
- name: Run tfhe-zk-pok tests
run: |
@@ -174,7 +137,7 @@ jobs:
name: Remove m1_test label
runs-on: ubuntu-latest
needs:
- cargo-builds-m1
- cargo-builds
if: ${{ always() }}
steps:
- uses: actions-ecosystem/action-remove-labels@2ce5d41b4b6aa8503e285553f75ed56e0a40bae0
@@ -184,13 +147,13 @@ jobs:
github_token: ${{ secrets.GITHUB_TOKEN }}
- name: Slack Notification
if: ${{ needs.cargo-builds-m1.result != 'skipped' }}
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-m1.result }}
SLACK_COLOR: ${{ needs.cargo-builds.result }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "M1 tests finished with status: ${{ needs.cargo-builds-m1.result }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "M1 tests finished with status: ${{ needs.cargo-builds.result }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -30,27 +30,19 @@ 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
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Prepare package
run: |
cargo package -p tfhe
- uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882 # v4.4.3
- uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b # v4.3.4
with:
name: crate
path: target/package/*.crate
@@ -82,10 +74,9 @@ jobs:
id-token: write
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Create NPM version tag
if: ${{ inputs.npm_latest_tag }}
run: |
@@ -110,7 +101,7 @@ jobs:
- 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
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: failure
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
@@ -155,7 +146,7 @@ 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

@@ -1,4 +1,5 @@
name: Publish tfhe-csprng release
# Publish new release of tfhe-rs on various platform.
name: Publish concrete-csprng release
on:
workflow_dispatch:
@@ -12,38 +13,30 @@ 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-csprng Release
needs: verify_tag
name: Publish concrete-csprng Release
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Publish crate.io package
env:
CRATES_TOKEN: ${{ secrets.CARGO_REGISTRY_TOKEN }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
run: |
cargo publish -p tfhe-csprng --token ${{ env.CRATES_TOKEN }} ${{ env.DRY_RUN }}
cargo publish -p concrete-csprng --token ${{ env.CRATES_TOKEN }} ${{ env.DRY_RUN }}
- 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: "tfhe-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@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: gpu-build
profile: gpu-test
publish-cuda-release:
name: Publish CUDA Release
@@ -61,17 +54,16 @@ jobs:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@21dc36fb71dd22e3317045c0c31a3f4249868b17
with:
toolchain: stable
@@ -107,7 +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 }})"
@@ -120,7 +112,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -131,7 +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

@@ -1,49 +0,0 @@
# Publish new release of tfhe-fft
name: Publish tfhe-fft 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-fft Release
runs-on: ubuntu-latest
needs: verify_tag
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Publish crate.io package
env:
CRATES_TOKEN: ${{ secrets.CARGO_REGISTRY_TOKEN }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
run: |
cargo publish -p tfhe-fft --token ${{ env.CRATES_TOKEN }} ${{ env.DRY_RUN }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "tfhe-fft release failed: (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -1,49 +0,0 @@
# Publish new release of tfhe-ntt
name: Publish tfhe-ntt 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-ntt Release
runs-on: ubuntu-latest
needs: verify_tag
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
- name: Publish crate.io package
env:
CRATES_TOKEN: ${{ secrets.CARGO_REGISTRY_TOKEN }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
run: |
cargo publish -p tfhe-ntt --token ${{ env.CRATES_TOKEN }} ${{ env.DRY_RUN }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "tfhe-ntt release failed: (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -1,56 +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
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- 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

@@ -13,22 +13,14 @@ 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
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Publish crate.io package
env:
@@ -40,7 +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 }}

View File

@@ -56,7 +56,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -79,10 +79,9 @@ jobs:
op_flavor: ${{ fromJson(needs.prepare-matrix.outputs.op_flavor) }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -92,13 +91,18 @@ jobs:
echo "COMMIT_HASH=$(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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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
@@ -120,7 +124,8 @@ jobs:
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512
--name-suffix avx512 \
--throughput
# This small benchmark needs to be executed only once.
- name: Measure key sizes
@@ -132,11 +137,11 @@ jobs:
if: matrix.op_flavor == 'default'
run: |
python3 ./ci/benchmark_parser.py tfhe/shortint_key_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@0b2256b8c012f0828dc542b3febcab082c67f72b
with:
name: ${{ github.sha }}_shortint_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
@@ -144,13 +149,21 @@ 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() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Shortint full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -163,7 +176,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -174,7 +187,7 @@ 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 (shortint-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -8,14 +8,6 @@ on:
description: "Run all precisions"
type: boolean
default: false
bench_type:
description: "Benchmarks type"
type: choice
default: latency
options:
- latency
- throughput
- both
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
@@ -44,10 +36,10 @@ jobs:
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
bench_type: ${{ steps.set_bench_type.outputs.bench_type }}
steps:
- name: Weekly benchmarks
if: github.event.schedule == '0 1 * * 6'
if: github.event_name == 'workflow_dispatch' ||
github.event.schedule == '0 1 * * 6'
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
@@ -56,31 +48,11 @@ jobs:
run: |
echo "OP_FLAVOR=[\"default\", \"unchecked\"]" >> "${GITHUB_ENV}"
- name: Set benchmark types
if: github.event_name == 'workflow_dispatch'
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
if [[ "${{ inputs.bench_type }}" == "both" ]]; then
echo "BENCH_TYPE=[\"latency\", \"throughput\"]" >> "${GITHUB_ENV}"
else
echo "BENCH_TYPE=[\"${{ inputs.bench_type }}\"]" >> "${GITHUB_ENV}"
fi
- name: Default benchmark type
if: github.event_name != 'workflow_dispatch'
run: |
echo "BENCH_TYPE=[\"latency\"]" >> "${GITHUB_ENV}"
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
- name: Set benchmark types output
id: set_bench_type
run: |
echo "bench_type=${{ toJSON(env.BENCH_TYPE) }}" >> "${GITHUB_OUTPUT}"
setup-instance:
name: Setup instance (signed-integer-benchmarks)
needs: prepare-matrix
@@ -90,7 +62,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -112,14 +84,12 @@ jobs:
max-parallel: 1
matrix:
command: [ integer, integer_multi_bit ]
op_flavor: ${{ fromJSON(needs.prepare-matrix.outputs.op_flavor) }}
bench_type: ${{ fromJSON(needs.prepare-matrix.outputs.bench_type) }}
op_flavor: [ default, unchecked ]
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -129,13 +99,18 @@ jobs:
echo "COMMIT_HASH=$(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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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
@@ -148,7 +123,7 @@ jobs:
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} BENCH_TYPE=${{ matrix.bench_type }} bench_signed_${{ matrix.command }}
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_signed_${{ matrix.command }}
- name: Parse results
run: |
@@ -161,24 +136,32 @@ jobs:
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--bench-type ${{ matrix.bench_type }}
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@0b2256b8c012f0828dc542b3febcab082c67f72b
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}_${{ matrix.bench_type }}
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() }}
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 full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -191,7 +174,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -202,7 +185,7 @@ 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-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -13,10 +13,9 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: git-sync
uses: wei/git-sync@55c6b63b4f21607da0e9877ca9b4d11a29fc6d83
with:

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

@@ -33,20 +33,19 @@ jobs:
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
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
uses: tj-actions/changed-files@6b2903bdce6310cfbddd87c418f253cf29b2dec9
with:
since_last_remote_commit: true
files_yaml: |
wasm_bench:
- tfhe/Cargo.toml
- tfhe-csprng/**
- concrete-csprng/**
- tfhe-zk-pok/**
- tfhe/src/**
- '!tfhe/src/c_api/**'
@@ -65,7 +64,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -79,16 +78,11 @@ jobs:
needs: setup-instance
if: needs.setup-instance.result != 'skipped'
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: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -98,46 +92,20 @@ jobs:
echo "COMMIT_HASH=$(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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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_${{ matrix.browser }}_ci
make install_node
make bench_web_js_api_parallel_ci
- name: Parse results
run: |
@@ -150,29 +118,25 @@ jobs:
--commit-date "${{ 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@0b2256b8c012f0828dc542b3febcab082c67f72b
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
@@ -181,16 +145,24 @@ 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)
@@ -200,7 +172,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -211,7 +183,7 @@ 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

@@ -3,16 +3,6 @@ name: PKE ZK benchmarks
on:
workflow_dispatch:
inputs:
bench_type:
description: "Benchmarks type"
type: choice
default: latency
options:
- latency
- throughput
- both
push:
branches:
- main
@@ -40,21 +30,19 @@ jobs:
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
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@4edd678ac3f81e2dc578756871e4d00c19191daf
uses: tj-actions/changed-files@6b2903bdce6310cfbddd87c418f253cf29b2dec9
with:
since_last_remote_commit: true
files_yaml: |
zk_pok:
- tfhe/Cargo.toml
- tfhe-csprng/**
- tfhe-fft/**
- concrete-csprng/**
- tfhe-zk-pok/**
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
@@ -63,37 +51,10 @@ jobs:
- tfhe/benches/integer/zk_pke.rs
- .github/workflows/zk_pke_benchmark.yml
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:
bench_type: ${{ steps.set_bench_type.outputs.bench_type }}
steps:
- name: Set benchmark types
if: github.event_name == 'workflow_dispatch'
run: |
if [[ "${{ inputs.bench_type }}" == "both" ]]; then
echo "BENCH_TYPE=[\"latency\", \"throughput\"]" >> "${GITHUB_ENV}"
else
echo "BENCH_TYPE=[\"${{ inputs.bench_type }}\"]" >> "${GITHUB_ENV}"
fi
- name: Default benchmark type
if: github.event_name != 'workflow_dispatch'
run: |
echo "BENCH_TYPE=[\"latency\"]" >> "${GITHUB_ENV}"
- name: Set benchmark types output
id: set_bench_type
run: |
echo "bench_type=${{ toJSON(env.BENCH_TYPE) }}" >> "${GITHUB_OUTPUT}"
setup-instance:
name: Setup instance (pke-zk-benchmarks)
runs-on: ubuntu-latest
needs: [ should-run, prepare-matrix ]
needs: should-run
if: github.event_name == 'workflow_dispatch' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'push' &&
@@ -104,7 +65,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -116,21 +77,16 @@ jobs:
pke-zk-benchmarks:
name: Execute PKE ZK benchmarks
if: needs.setup-instance.result != 'skipped'
needs: [ prepare-matrix, setup-instance ]
needs: 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 }}
strategy:
max-parallel: 1
matrix:
bench_type: ${{ fromJSON(needs.prepare-matrix.outputs.bench_type) }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -140,13 +96,18 @@ jobs:
echo "COMMIT_HASH=$(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@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
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
@@ -154,7 +115,7 @@ jobs:
- name: Run benchmarks with AVX512
run: |
make BENCH_TYPE=${{ matrix.bench_type }} bench_integer_zk
make bench_integer_zk
- name: Parse results
run: |
@@ -168,22 +129,22 @@ jobs:
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--bench-type ${{ matrix.bench_type }}
--throughput
- 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@0b2256b8c012f0828dc542b3febcab082c67f72b
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
@@ -192,13 +153,21 @@ 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 }})"
@@ -211,7 +180,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -222,7 +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 (pke-zk-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

5
.gitignore vendored
View File

@@ -13,7 +13,6 @@ target/
# Some of our bench outputs
/tfhe/benchmarks_parameters
/tfhe-zk-pok/benchmarks_parameters
**/*.csv
# dieharder run log
@@ -27,10 +26,6 @@ backends/tfhe-cuda-backend/cuda/cmake-build-debug/
# WASM tests
tfhe/web_wasm_parallel_tests/server.PID
venv/
web-test-runner/
node_modules/
package-lock.json
# Dir used for backward compatibility test data
tfhe/tfhe-backward-compat-data/

View File

@@ -2,12 +2,10 @@
resolver = "2"
members = [
"tfhe",
"tfhe-fft",
"tfhe-ntt",
"tfhe-zk-pok",
"tasks",
"apps/trivium",
"tfhe-csprng",
"concrete-csprng",
"backends/tfhe-cuda-backend",
"utils/tfhe-versionable",
"utils/tfhe-versionable-derive",
@@ -18,17 +16,6 @@ exclude = [
"utils/cargo-tfhe-lints-inner",
"utils/cargo-tfhe-lints"
]
[workspace.dependencies]
aligned-vec = { version = "0.6", default-features = false }
bytemuck = "1.14.3"
dyn-stack = { version = "0.11", default-features = false }
itertools = "0.13"
num-complex = "0.4"
pulp = { version = "0.20.0", default-features = false }
rand = "0.8"
rayon = "1"
serde = { version = "1.0", default-features = false }
wasm-bindgen = ">=0.2.86,<0.2.94"
[profile.bench]
lto = "fat"

660
Makefile

File diff suppressed because it is too large Load Diff

280
README-TFHE-rs.md Normal file
View File

@@ -0,0 +1,280 @@
<p align="center">
<!-- product name logo -->
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/zama-ai/tfhe-rs/assets/157474013/5283e0ba-da1e-43af-9f2a-c5221367a12b">
<source media="(prefers-color-scheme: light)" srcset="https://github.com/zama-ai/tfhe-rs/assets/157474013/b94a8c96-7595-400b-9311-70765c706955">
<img width=600 alt="Zama TFHE-rs">
</picture>
</p>
<hr/>
<p align="center">
<a href="https://docs.zama.ai/tfhe-rs"> 📒 Documentation</a> | <a href="https://zama.ai/community"> 💛 Community support</a> | <a href="https://github.com/zama-ai/awesome-zama"> 📚 FHE resources by Zama</a>
</p>
<p align="center">
<a href="https://github.com/zama-ai/tfhe-rs/releases"><img src="https://img.shields.io/github/v/release/zama-ai/tfhe-rs?style=flat-square"></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/License-BSD--3--Clause--Clear-%23ffb243?style=flat-square"></a>
<a href="https://github.com/zama-ai/bounty-program"><img src="https://img.shields.io/badge/Contribute-Zama%20Bounty%20Program-%23ffd208?style=flat-square"></a>
</p>
## About
### What is TFHE-rs
**TFHE-rs** is a pure Rust implementation of TFHE for boolean and integer arithmetics over encrypted data.
It includes:
- a **Rust** API
- a **C** API
- and a **client-side WASM** API
TFHE-rs is designed for developers and researchers who want full control over
what they can do with TFHE, while not having to worry about the low-level
implementation. The goal is to have a stable, simple, high-performance, and
production-ready library for all the advanced features of TFHE.
<br></br>
### Main features
- **Low-level cryptographic library** that implements Zamas variant of TFHE, including programmable bootstrapping
- **Implementation of the original TFHE boolean API** that can be used as a drop-in replacement for other TFHE libraries
- **Short integer API** that enables exact, unbounded FHE integer arithmetics with up to 8 bits of message space
- **Size-efficient public key encryption**
- **Ciphertext and server key compression** for efficient data transfer
- **Full Rust API, C bindings to the Rust High-Level API, and client-side Javascript API using WASM**.
*Learn more about TFHE-rs features in the [documentation](https://docs.zama.ai/tfhe-rs/readme).*
<br></br>
## Table of Contents
- **[Getting started](#getting-started)**
- [Cargo.toml configuration](#cargotoml-configuration)
- [A simple example](#a-simple-example)
- **[Resources](#resources)**
- [TFHE deep dive](#tfhe-deep-dive)
- [Tutorials](#tutorials)
- [Documentation](#documentation)
- **[Working with TFHE-rs](#working-with-tfhe-rs)**
- [Disclaimers](#disclaimers)
- [Citations](#citations)
- [Contributing](#contributing)
- [License](#license)
- **[Support](#support)**
<br></br>
## Getting started
### Cargo.toml configuration
To use the latest version of `TFHE-rs` in your project, you first need to add it as a dependency in your `Cargo.toml`:
+ For x86_64-based machines running Unix-like OSes:
```toml
tfhe = { version = "*", features = ["boolean", "shortint", "integer", "x86_64-unix"] }
```
+ For Apple Silicon or aarch64-based machines running Unix-like OSes:
```toml
tfhe = { version = "*", features = ["boolean", "shortint", "integer", "aarch64-unix"] }
```
+ For x86_64-based machines with the [`rdseed instruction`](https://en.wikipedia.org/wiki/RDRAND) running Windows:
```toml
tfhe = { version = "*", features = ["boolean", "shortint", "integer", "x86_64"] }
```
> [!Note]
> Note: You need to use a Rust version >= 1.73 to compile TFHE-rs.
> [!Note]
> Note: aarch64-based machines are not yet supported for Windows as it's currently missing an entropy source to be able to seed the [CSPRNGs](https://en.wikipedia.org/wiki/Cryptographically_secure_pseudorandom_number_generator) used in TFHE-rs.
<p align="right">
<a href="#about" > ↑ Back to top </a>
</p>
### A simple example
Here is a full example:
``` rust
use tfhe::prelude::*;
use tfhe::{generate_keys, set_server_key, ConfigBuilder, FheUint32, FheUint8};
fn main() -> Result<(), Box<dyn std::error::Error>> {
// Basic configuration to use homomorphic integers
let config = ConfigBuilder::default().build();
// Key generation
let (client_key, server_keys) = generate_keys(config);
let clear_a = 1344u32;
let clear_b = 5u32;
let clear_c = 7u8;
// Encrypting the input data using the (private) client_key
// FheUint32: Encrypted equivalent to u32
let mut encrypted_a = FheUint32::try_encrypt(clear_a, &client_key)?;
let encrypted_b = FheUint32::try_encrypt(clear_b, &client_key)?;
// FheUint8: Encrypted equivalent to u8
let encrypted_c = FheUint8::try_encrypt(clear_c, &client_key)?;
// On the server side:
set_server_key(server_keys);
// Clear equivalent computations: 1344 * 5 = 6720
let encrypted_res_mul = &encrypted_a * &encrypted_b;
// Clear equivalent computations: 6720 >> 5 = 210
encrypted_a = &encrypted_res_mul >> &encrypted_b;
// Clear equivalent computations: let casted_a = a as u8;
let casted_a: FheUint8 = encrypted_a.cast_into();
// Clear equivalent computations: min(210, 7) = 7
let encrypted_res_min = &casted_a.min(&encrypted_c);
// Operation between clear and encrypted data:
// Clear equivalent computations: 7 & 1 = 1
let encrypted_res = encrypted_res_min & 1_u8;
// Decrypting on the client side:
let clear_res: u8 = encrypted_res.decrypt(&client_key);
assert_eq!(clear_res, 1_u8);
Ok(())
}
```
To run this code, use the following command:
<p align="center"> <code> cargo run --release </code> </p>
> [!Note]
> 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/getting-started/quick_start)*
<p align="right">
<a href="#about" > ↑ Back to top </a>
</p>
## Resources
### TFHE deep dive
- [TFHE Deep Dive - Part I - Ciphertext types](https://www.zama.ai/post/tfhe-deep-dive-part-1)
- [TFHE Deep Dive - Part II - Encodings and linear leveled operations](https://www.zama.ai/post/tfhe-deep-dive-part-2)
- [TFHE Deep Dive - Part III - Key switching and leveled multiplications](https://www.zama.ai/post/tfhe-deep-dive-part-3)
- [TFHE Deep Dive - Part IV - Programmable Bootstrapping](https://www.zama.ai/post/tfhe-deep-dive-part-4)
<br></br>
### Tutorials
- [[Video tutorial] Implement signed integers using TFHE-rs ](https://www.zama.ai/post/video-tutorial-implement-signed-integers-ssing-tfhe-rs)
- [Homomorphic parity bit](https://docs.zama.ai/tfhe-rs/tutorials/parity_bit)
- [Homomorphic case changing on Ascii string](https://docs.zama.ai/tfhe-rs/tutorials/ascii_fhe_string)
- [Boolean SHA256 with TFHE-rs](https://www.zama.ai/post/boolean-sha256-tfhe-rs)
- [Dark market with TFHE-rs](https://www.zama.ai/post/dark-market-tfhe-rs)
- [Regular expression engine with TFHE-rs](https://www.zama.ai/post/regex-engine-tfhe-rs)
*Explore more useful resources in [TFHE-rs tutorials](https://docs.zama.ai/tfhe-rs/tutorials) and [Awesome Zama repo](https://github.com/zama-ai/awesome-zama)*
<br></br>
### Documentation
Full, comprehensive documentation is available here: [https://docs.zama.ai/tfhe-rs](https://docs.zama.ai/tfhe-rs).
<p align="right">
<a href="#about" > ↑ Back to top </a>
</p>
## Working with TFHE-rs
### Disclaimers
#### Security estimation
Security estimations are done using the
[Lattice Estimator](https://github.com/malb/lattice-estimator)
with `red_cost_model = reduction.RC.BDGL16`.
When a new update is published in the Lattice Estimator, we update parameters accordingly.
### 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].
[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
#### Side-channel attacks
Mitigation for side-channel attacks has not yet been implemented in TFHE-rs,
and will be released in upcoming versions.
<br></br>
### Citations
To cite TFHE-rs in academic papers, please use the following entry:
```text
@Misc{TFHE-rs,
title={{TFHE-rs: A Pure Rust Implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data}},
author={Zama},
year={2022},
note={\url{https://github.com/zama-ai/tfhe-rs}},
}
```
### Contributing
There are two ways to contribute to TFHE-rs:
- [Open issues](https://github.com/zama-ai/tfhe-rs/issues/new/choose) to report bugs and typos, or to suggest new ideas
- Request to become an official contributor by emailing [hello@zama.ai](mailto:hello@zama.ai).
Becoming an approved contributor involves signing our Contributor License Agreement (CLA). Only approved contributors can send pull requests, so please make sure to get in touch before you do!
<br></br>
### License
This software is distributed under the **BSD-3-Clause-Clear** license. Read [this](LICENSE) for more details.
#### FAQ
**Is Zamas technology free to use?**
>Zamas libraries are free to use under the BSD 3-Clause Clear license only for development, research, prototyping, and experimentation purposes. However, for any commercial use of Zama's open source code, companies must purchase Zamas commercial patent license.
>
>Everything we do is open source and we are very transparent on what it means for our users, you can read more about how we monetize our open source products at Zama in [this blogpost](https://www.zama.ai/post/open-source).
**What do I need to do if I want to use Zamas technology for commercial purposes?**
>To commercially use Zamas technology you need to be granted Zamas patent license. Please contact us hello@zama.ai for more information.
**Do you file IP on your technology?**
>Yes, all Zamas technologies are patented.
**Can you customize a solution for my specific use case?**
>We are open to collaborating and advancing the FHE space with our partners. If you have specific needs, please email us at hello@zama.ai.
<p align="right">
<a href="#about" > ↑ Back to top </a>
</p>
## Support
<a target="_blank" href="https://community.zama.ai">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/zama-ai/tfhe-rs/assets/157474013/08656d0a-3f44-4126-b8b6-8c601dff5380">
<source media="(prefers-color-scheme: light)" srcset="https://github.com/zama-ai/tfhe-rs/assets/157474013/1c9c9308-50ac-4aab-a4b9-469bb8c536a4">
<img alt="Support">
</picture>
</a>
🌟 If you find this project helpful or interesting, please consider giving it a star on GitHub! Your support helps to grow the community and motivates further development.
<p align="right">
<a href="#about" > ↑ Back to top </a>
</p>

330
README.md
View File

@@ -1,280 +1,114 @@
<p align="center">
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<picture>
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# Artifact: Accelerating TFHE with Sorted-Bootstrapping Techniques
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## Description
## About
In what follows, we provide instructions on how to run the benchmarks given in **Table 3** (page 29), from the paper titled **Accelerating TFHE with Sorted Bootstrapping Techniques**.
The implementation of the techniques described in the aforementioned paper has been integrated into the **TFHE-rs** library, version `0.8.0-alpha.2`.
The code related to the extended PBS (EBS), the sorted PBS (SBS) and the version with the companion modulus switch are located in ```tfhe/src/core_crypto/fft_impl/fft64/crypto/bootstrap.rs```.
All the benchmarks can be found in ```tfhe/benches/core_crypto/pbs_bench.rs```.
### What is TFHE-rs
**TFHE-rs** is a pure Rust implementation of TFHE for boolean and integer arithmetics over encrypted data.
## Setup and Dependencies
It includes:
- a **Rust** API
- a **C** API
- and a **client-side WASM** API
Tested on Linux and macOS with Rust version ≥ 1.85 (we recommend installing Rust via [rustup](https://www.rust-lang.org/tools/install), as rustup is required later by the provided Makefile).
The complete list of dependencies and a guide on how to install TFHE-rs can be found in the online documentation [here](https://docs.zama.ai/tfhe-rs/0.8) or in the local file [here](./README-TFHE-rs.md).
TFHE-rs is designed for developers and researchers who want full control over
what they can do with TFHE, while not having to worry about the low-level
implementation. The goal is to have a stable, simple, high-performance, and
production-ready library for all the advanced features of TFHE.
<br></br>
## How to run benchmarks
The benchmarks run across all precision and all failure probabilities, progressing from lower precision (4 bits) to higher precision (9 bits) and from higher failure probabilities ($2^{-64}$) to the lower failure probabilities ($2^{-128}$).
All the following benchmarks are **sequential**.
At the root of the project (i.e., in the TFHE-rs folder), enter the following commands to run the different benchmarks:
### Main features
- ```make bench_ly```: returns the timings associated with the extended PBS (EBS[LY23] in **Table 3**).
- ```make bench_sorted```: returns the timings associated with the sorted PBS (SBS in **Table 3**).
- ```make bench_cms```: returns the timings associated with the SBS with the companion modulus switch (cms) (SBS + CMS in **Table 3**).
- **Low-level cryptographic library** that implements Zamas variant of TFHE, including programmable bootstrapping
- **Implementation of the original TFHE boolean API** that can be used as a drop-in replacement for other TFHE libraries
- **Short integer API** that enables exact, unbounded FHE integer arithmetics with up to 8 bits of message space
- **Size-efficient public key encryption**
- **Ciphertext and server key compression** for efficient data transfer
- **Full Rust API, C bindings to the Rust High-Level API, and client-side Javascript API using WASM**.
*Learn more about TFHE-rs features in the [documentation](https://docs.zama.ai/tfhe-rs/readme).*
<br></br>
To modify the performed benchmarks, only a few lines need to be commented and modified in ```tfhe/benches/core_crypto/pbs_bench.rs```.
To focus only on specific benchmarks, you only need to keep the wanted precision and failure probabilities and adjust the number of tests with ```[ParametersLY23; X]```, where `X` must be equal to the number of uncommented parameters.
## Table of Contents
- **[Getting started](#getting-started)**
- [Cargo.toml configuration](#cargotoml-configuration)
- [A simple example](#a-simple-example)
- **[Resources](#resources)**
- [TFHE deep dive](#tfhe-deep-dive)
- [Tutorials](#tutorials)
- [Documentation](#documentation)
- **[Working with TFHE-rs](#working-with-tfhe-rs)**
- [Disclaimers](#disclaimers)
- [Citations](#citations)
- [Contributing](#contributing)
- [License](#license)
- **[Support](#support)**
<br></br>
All parameter sets follow a syntax of the form: ```{Name}_{Precision}_{-Log2(pfail)}```.
For instance, ```LY_5_64``` means that the parameter set is associated to the algorithm referred as *LY* in the paper, with *5* bits of precision for input message and $2^{-64}$ as failure probability.
## Getting started
For the EBS and the SBS, you need to modify lines 1502 to 1507 and lines 1612 to 1616 for the SBS with CMS.
For instance, changing lines 1502 to 1507:
```rust
const PARAM_BENCHES_LY23: [ParametersLY23; 16] = [
//LY_5_40, LY_6_40, LY_7_40, LY_8_40, LY_9_40
LY_5_64, LY_6_64, LY_7_64, LY_8_64, LY_9_64,
LY_5_80, LY_6_80, LY_7_81, LY_8_81, LY_9_81,
LY_4_128, LY_5_128, LY_6_129, LY_7_128, LY_8_128, LY_9_129,
];
```
into:
```rust
const PARAM_BENCHES_LY23: [ParametersLY23; 6] = [
//LY_5_40, LY_6_40, LY_7_40, LY_8_40, LY_9_40,
//LY_5_64, LY_6_64, LY_7_64, LY_8_64, LY_9_64,
//LY_5_80, LY_6_80, LY_7_81, LY_8_81, LY_9_81,
LY_4_128, LY_5_128, LY_6_129, LY_7_128, LY_8_128, LY_9_129,
];
```
and using the command ```make bench_ly``` launches only benchmarks for the EBS experiment with a failure probability of $2^{-128}$.
### Cargo.toml configuration
To use the latest version of `TFHE-rs` in your project, you first need to add it as a dependency in your `Cargo.toml`:
+ For x86_64-based machines running Unix-like OSes:
### Sample Output Structure
```toml
tfhe = { version = "*", features = ["boolean", "shortint", "integer", "x86_64-unix"] }
A typical benchmark result looks like this:
```
KS_Extended_PBS_LY23/PRECISION_6_BITS__EXTENDED_FACTOR_2^2__PFAIL_2^-64
time: [123.38 ms 123.46 ms 123.55 ms]
Found 19 outliers among 500 measurements (3.80%)
```
+ For Apple Silicon or aarch64-based machines running Unix-like OSes:
The first line indicates the operation whose latency is measured.
```toml
tfhe = { version = "*", features = ["boolean", "shortint", "integer", "aarch64-unix"] }
**Examples:**
```
+ For x86_64-based machines with the [`rdseed instruction`](https://en.wikipedia.org/wiki/RDRAND) running Windows:
```toml
tfhe = { version = "*", features = ["boolean", "shortint", "integer", "x86_64"] }
KS_Extended_PBS_LY23/PRECISION_6_BITS__EXTENDED_FACTOR_2^2__PFAIL_2^-64
```
means that this benchmark is measuring the latency of a Keyswitch (KS) followed by an Extended Bootstrapping (EBS [LY23]) with 6 bits of message, an extended factor equal to $2^2$, and a failure probability pfail $=2^{-64}$.
> [!Note]
> Note: You need to use a Rust version >= 1.81 to compile TFHE-rs.
#### Understanding Benchmark Output (Criterion.rs)
This project uses Criterion.rs for benchmarking. Criterion is a powerful and statistically robust benchmarking framework for Rust, and it may produce outputs that are unfamiliar at first glance. Here is a short explanation:
> [!Note]
> Note: aarch64-based machines are not yet supported for Windows as it's currently missing an entropy source to be able to seed the [CSPRNGs](https://en.wikipedia.org/wiki/Cryptographically_secure_pseudorandom_number_generator) used in TFHE-rs.
<p align="right">
<a href="#about" > ↑ Back to top </a>
</p>
### A simple example
Here is a full example:
``` rust
use tfhe::prelude::*;
use tfhe::{generate_keys, set_server_key, ConfigBuilder, FheUint32, FheUint8};
fn main() -> Result<(), Box<dyn std::error::Error>> {
// Basic configuration to use homomorphic integers
let config = ConfigBuilder::default().build();
// Key generation
let (client_key, server_keys) = generate_keys(config);
let clear_a = 1344u32;
let clear_b = 5u32;
let clear_c = 7u8;
// Encrypting the input data using the (private) client_key
// FheUint32: Encrypted equivalent to u32
let mut encrypted_a = FheUint32::try_encrypt(clear_a, &client_key)?;
let encrypted_b = FheUint32::try_encrypt(clear_b, &client_key)?;
// FheUint8: Encrypted equivalent to u8
let encrypted_c = FheUint8::try_encrypt(clear_c, &client_key)?;
// On the server side:
set_server_key(server_keys);
// Clear equivalent computations: 1344 * 5 = 6720
let encrypted_res_mul = &encrypted_a * &encrypted_b;
// Clear equivalent computations: 6720 >> 5 = 210
encrypted_a = &encrypted_res_mul >> &encrypted_b;
// Clear equivalent computations: let casted_a = a as u8;
let casted_a: FheUint8 = encrypted_a.cast_into();
// Clear equivalent computations: min(210, 7) = 7
let encrypted_res_min = &casted_a.min(&encrypted_c);
// Operation between clear and encrypted data:
// Clear equivalent computations: 7 & 1 = 1
let encrypted_res = encrypted_res_min & 1_u8;
// Decrypting on the client side:
let clear_res: u8 = encrypted_res.decrypt(&client_key);
assert_eq!(clear_res, 1_u8);
Ok(())
}
```
To run this code, use the following command:
<p align="center"> <code> cargo run --release </code> </p>
> [!Note]
> 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)*
<p align="right">
<a href="#about" > ↑ Back to top </a>
</p>
time: [low est. median high est.]: The estimated execution time of the function.
change: The performance change compared to a previous run (if available).
outliers: Some runs deviated from the typical time. Criterion detects and accounts for these using statistical methods.
#### Common Warnings and What They Mean
##### `Found X outliers among Y measurements`
Criterion runs each benchmark many times (default: 100) to get statistically significant results.
An *outlier* is a run that was significantly faster or slower than the others.
## Resources
- **Why does this happen?** Often, it's due to **other processes on the machine** (e.g., background services, OS interrupts, or CPU scheduling) affecting performance temporarily.
- **Why it doesn't invalidate results:** Criterion uses statistical techniques to minimize the impact of these outliers when estimating performance.
- **Best practice to reduce outliers:** Run the benchmarks on a **freshly rebooted machine**, with as few background processes as possible. Ideally, let the system idle for a minute after boot to stabilize before running benchmarks.
### TFHE deep dive
- [TFHE Deep Dive - Part I - Ciphertext types](https://www.zama.ai/post/tfhe-deep-dive-part-1)
- [TFHE Deep Dive - Part II - Encodings and linear leveled operations](https://www.zama.ai/post/tfhe-deep-dive-part-2)
- [TFHE Deep Dive - Part III - Key switching and leveled multiplications](https://www.zama.ai/post/tfhe-deep-dive-part-3)
- [TFHE Deep Dive - Part IV - Programmable Bootstrapping](https://www.zama.ai/post/tfhe-deep-dive-part-4)
<br></br>
##### `Unable to complete 100 samples in 5.0s.`
The benchmark took longer than the expected 5 seconds.
This is merely a warning indicating that the full set of 100 samples could not be collected within the default 5-second measurement window.
### Tutorials
- [[Video tutorial] Implement signed integers using TFHE-rs ](https://www.zama.ai/post/video-tutorial-implement-signed-integers-ssing-tfhe-rs)
- [Homomorphic parity bit](https://docs.zama.ai/tfhe-rs/tutorials/parity_bit)
- [Homomorphic case changing on Ascii string](https://docs.zama.ai/tfhe-rs/tutorials/ascii_fhe_string)
- [Boolean SHA256 with TFHE-rs](https://www.zama.ai/post/boolean-sha256-tfhe-rs)
- [Dark market with TFHE-rs](https://www.zama.ai/post/dark-market-tfhe-rs)
- [Regular expression engine with TFHE-rs](https://www.zama.ai/post/regex-engine-tfhe-rs)
- **No action is required**: Criterion will still proceed to run all 100 samples, and the results remain statistically valid.
- **Why the warning appears**: It's there to inform you that benchmarking is taking longer than expected and to help you tune settings if needed.
- **Optional**: If you're constrained by time (e.g., running in CI), you can:
- Reduce the sample size (e.g., to 10 or 20 samples).
- Or increase the measurement time using:
```bash
cargo bench -- --measurement-time 30
```
*Explore more useful resources in [TFHE-rs tutorials](https://docs.zama.ai/tfhe-rs/tutorials) and [Awesome Zama repo](https://github.com/zama-ai/awesome-zama)*
<br></br>
### Documentation
## Other Experiments (See long-paper version)
This section explains how to run more benchmarks related to the paper results appearing in the long version.
At the root of the project, run:
Full, comprehensive documentation is available here: [https://docs.zama.ai/tfhe-rs](https://docs.zama.ai/tfhe-rs).
<p align="right">
<a href="#about" > ↑ Back to top </a>
</p>
- ```make bench_pbs_asiacrypt```: returns the timings associated to the vanilla PBS. Can be used as another baseline comparison to see the impact of the EBS, SBS and SBS+CMS.
- ```make bench_ly23_parallelized```: returns the timings associated to the parallelized version of the extended PBS (EBS) from LY.
- ```make bench_sorted_parallelized```: returns the timings associated to the parallelized sorted PBS (SBS).
## Working with TFHE-rs
These benchmarks can be used to see the impact of the sorted PBS in a parallelized context.
### Disclaimers
#### Security estimation
Security estimations are done using the
[Lattice Estimator](https://github.com/malb/lattice-estimator)
with `red_cost_model = reduction.RC.BDGL16`.
When a new update is published in the Lattice Estimator, we update parameters accordingly.
### 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].
[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
#### Side-channel attacks
Mitigation for side-channel attacks has not yet been implemented in TFHE-rs,
and will be released in upcoming versions.
<br></br>
### Citations
To cite TFHE-rs in academic papers, please use the following entry:
```text
@Misc{TFHE-rs,
title={{TFHE-rs: A Pure Rust Implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data}},
author={Zama},
year={2022},
note={\url{https://github.com/zama-ai/tfhe-rs}},
}
```
### Contributing
There are two ways to contribute to TFHE-rs:
- [Open issues](https://github.com/zama-ai/tfhe-rs/issues/new/choose) to report bugs and typos, or to suggest new ideas
- Request to become an official contributor by emailing [hello@zama.ai](mailto:hello@zama.ai).
Becoming an approved contributor involves signing our Contributor License Agreement (CLA). Only approved contributors can send pull requests, so please make sure to get in touch before you do!
<br></br>
### License
This software is distributed under the **BSD-3-Clause-Clear** license. Read [this](LICENSE) for more details.
#### FAQ
**Is Zamas technology free to use?**
>Zamas libraries are free to use under the BSD 3-Clause Clear license only for development, research, prototyping, and experimentation purposes. However, for any commercial use of Zama's open source code, companies must purchase Zamas commercial patent license.
>
>Everything we do is open source and we are very transparent on what it means for our users, you can read more about how we monetize our open source products at Zama in [this blogpost](https://www.zama.ai/post/open-source).
**What do I need to do if I want to use Zamas technology for commercial purposes?**
>To commercially use Zamas technology you need to be granted Zamas patent license. Please contact us hello@zama.ai for more information.
**Do you file IP on your technology?**
>Yes, all Zamas technologies are patented.
**Can you customize a solution for my specific use case?**
>We are open to collaborating and advancing the FHE space with our partners. If you have specific needs, please email us at hello@zama.ai.
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</p>
## Support
<a target="_blank" href="https://community.zama.ai">
<picture>
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<source media="(prefers-color-scheme: light)" srcset="https://github.com/zama-ai/tfhe-rs/assets/157474013/1c9c9308-50ac-4aab-a4b9-469bb8c536a4">
<img alt="Support">
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</a>
🌟 If you find this project helpful or interesting, please consider giving it a star on GitHub! Your support helps to grow the community and motivates further development.
<p align="right">
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</p>
As with the previous benchmarks, the launched experiment can be modified to only be performed on the wanted precision and failure probabilities by changing lines 1619 to 1628 for the PBS and lines 1630 to 1663 for the parallelized version.

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

@@ -6,7 +6,7 @@ edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[dependencies]
rayon = { workspace = true }
rayon = { version = "1.7.0"}
[target.'cfg(target_arch = "x86_64")'.dependencies.tfhe]
path = "../../tfhe"

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

@@ -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

@@ -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)),

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 = "0.6.0"
version = "0.4.0-alpha.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

@@ -1,8 +1,8 @@
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;
}
@@ -26,8 +26,7 @@ fn main() {
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 +35,6 @@ 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 +51,6 @@ 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

@@ -27,38 +27,28 @@ inline void cuda_error(cudaError_t code, const char *file, int line) {
std::abort(); \
}
cudaEvent_t cuda_create_event(uint32_t gpu_index);
void cuda_event_record(cudaEvent_t event, cudaStream_t stream,
uint32_t gpu_index);
void cuda_stream_wait_event(cudaStream_t stream, cudaEvent_t event,
uint32_t gpu_index);
void cuda_event_destroy(cudaEvent_t event, uint32_t gpu_index);
cudaStream_t cuda_create_stream(uint32_t gpu_index);
void cuda_destroy_stream(cudaStream_t stream, uint32_t gpu_index);
void cuda_synchronize_stream(cudaStream_t stream, uint32_t gpu_index);
uint32_t cuda_is_available();
void *cuda_malloc(uint64_t size, uint32_t gpu_index);
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);
@@ -72,13 +62,9 @@ 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();
bool cuda_check_support_thread_block_clusters();
}
template <typename Torus>
void cuda_set_value_async(cudaStream_t stream, uint32_t gpu_index,

View File

@@ -8,7 +8,7 @@ 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

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

@@ -1,444 +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 };
enum outputFlag { FLAG_NONE = 0, FLAG_OVERFLOW = 1, FLAG_CARRY = 2 };
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, bool const is_boolean_left, bool const is_boolean_right,
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, bool const is_bool_left,
void const *radix_lwe_right, bool const is_bool_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, uint32_t requested_flag,
uint32_t uses_carry, bool allocate_gpu_memory);
void scratch_cuda_add_and_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_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 cuda_add_and_propagate_single_carry_kb_64_inplace(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *lhs_array, const void *rhs_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_propagate_single_carry(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void cleanup_cuda_add_and_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_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,
bool is_signed, 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,
bool is_signed, 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_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);
void scratch_cuda_integer_abs_inplace_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
int8_t **mem_ptr, bool is_signed, 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_abs_inplace_radix_ciphertext_kb_64(
void *const *streams, uint32_t const *gpu_indexes, uint32_t gpu_count,
void *ct, int8_t *mem_ptr, bool is_signed, void *const *bsks,
void *const *ksks, uint32_t num_blocks);
void cleanup_cuda_integer_abs_inplace(void *const *streams,
uint32_t const *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
} // extern C
#endif // CUDA_INTEGER_H

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@@ -1,39 +1,21 @@
#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);
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);
}
#endif // CNCRT_KS_H_

View File

@@ -1,49 +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_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_

View File

@@ -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

View File

@@ -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 num_many_lut, 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 num_many_lut, 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 num_many_lut,
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);
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);
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);
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;
@@ -69,7 +167,7 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::CLASSICAL> {
int8_t *d_mem;
Torus *global_accumulator;
double2 *global_join_buffer;
double2 *global_accumulator_fft;
PBS_VARIANT pbs_variant;
@@ -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) {
@@ -114,7 +212,7 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::CLASSICAL> {
// Otherwise, both kernels run all in shared memory
d_mem = (int8_t *)cuda_malloc_async(device_mem, stream, gpu_index);
global_join_buffer = (double2 *)cuda_malloc_async(
global_accumulator_fft = (double2 *)cuda_malloc_async(
(glwe_dimension + 1) * level_count * input_lwe_ciphertext_count *
(polynomial_size / 2) * sizeof(double2),
stream, gpu_index);
@@ -147,7 +245,7 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::CLASSICAL> {
// Otherwise, both kernels run all in shared memory
d_mem = (int8_t *)cuda_malloc_async(device_mem, stream, gpu_index);
global_join_buffer = (double2 *)cuda_malloc_async(
global_accumulator_fft = (double2 *)cuda_malloc_async(
(glwe_dimension + 1) * level_count * input_lwe_ciphertext_count *
polynomial_size / 2 * sizeof(double2),
stream, gpu_index);
@@ -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>(
@@ -194,7 +292,7 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::CLASSICAL> {
// Otherwise, both kernels run all in shared memory
d_mem = (int8_t *)cuda_malloc_async(device_mem, stream, gpu_index);
global_join_buffer = (double2 *)cuda_malloc_async(
global_accumulator_fft = (double2 *)cuda_malloc_async(
(glwe_dimension + 1) * level_count * input_lwe_ciphertext_count *
polynomial_size / 2 * sizeof(double2),
stream, gpu_index);
@@ -208,7 +306,7 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::CLASSICAL> {
void release(cudaStream_t stream, uint32_t gpu_index) {
cuda_drop_async(d_mem, stream, gpu_index);
cuda_drop_async(global_join_buffer, stream, gpu_index);
cuda_drop_async(global_accumulator_fft, stream, gpu_index);
if (pbs_variant == DEFAULT)
cuda_drop_async(global_accumulator, stream, gpu_index);
@@ -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 =
@@ -245,66 +343,68 @@ 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 num_many_lut,
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);
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 num_many_lut,
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);
#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 num_many_lut,
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);
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,
@@ -334,4 +434,4 @@ __device__ const T *get_multi_bit_ith_lwe_gth_group_kth_block(
#endif
#endif // CUDA_BOOTSTRAP_UTILITIES_H
#endif // CUDA_BOOTSTRAP_H

View File

@@ -1,112 +1,164 @@
#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 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 num_many_lut, uint32_t lut_stride);
uint32_t num_luts, uint32_t lwe_idx, uint32_t max_shared_memory,
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 num_many_lut, uint32_t lut_stride);
uint32_t num_luts, uint32_t lwe_idx, uint32_t max_shared_memory,
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 num_many_lut, uint32_t lut_stride);
uint32_t num_luts, uint32_t lwe_idx, uint32_t max_shared_memory,
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_join_buffer;
double2 *global_accumulator_fft;
PBS_VARIANT pbs_variant;
@@ -115,7 +167,6 @@ 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
@@ -225,12 +276,10 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::MULTI_BIT> {
num_blocks_keybundle * (polynomial_size / 2) * sizeof(double2),
stream, gpu_index);
global_accumulator = (Torus *)cuda_malloc_async(
input_lwe_ciphertext_count * (glwe_dimension + 1) * polynomial_size *
sizeof(Torus),
stream, gpu_index);
global_join_buffer = (double2 *)cuda_malloc_async(
level_count * (glwe_dimension + 1) * input_lwe_ciphertext_count *
(polynomial_size / 2) * sizeof(double2),
num_blocks_acc_step_one * polynomial_size * sizeof(Torus), stream,
gpu_index);
global_accumulator_fft = (double2 *)cuda_malloc_async(
num_blocks_acc_step_one * (polynomial_size / 2) * sizeof(double2),
stream, gpu_index);
}
}
@@ -262,8 +311,13 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::MULTI_BIT> {
cuda_drop_async(keybundle_fft, stream, gpu_index);
cuda_drop_async(global_accumulator, stream, gpu_index);
cuda_drop_async(global_join_buffer, stream, gpu_index);
cuda_drop_async(global_accumulator_fft, stream, gpu_index);
}
};
#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)

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