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Author SHA1 Message Date
David Testé
da6eb1a592 chore(ci): remove wasm test that is not relevant 2024-10-09 09:29:35 +02:00
936 changed files with 26087 additions and 84802 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

@@ -1,53 +0,0 @@
name: Setup Cuda
description: Setup Cuda on Hyperstack instance
inputs:
cuda-version:
description: Version of Cuda to use
required: true
gcc-version:
description: Version of GCC to use
required: true
cmake-version:
description: Version of cmake to use
default: 3.29.6
runs:
using: "composite"
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
shell: bash
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev libclang-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ inputs.cmake-version }}/cmake-${{ inputs.cmake-version }}.tar.gz
tar -zxvf cmake-${{ inputs.cmake-version }}.tar.gz
cd cmake-${{ inputs.cmake-version }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Export CUDA variables
shell: bash
run: |
CUDA_PATH=/usr/local/cuda-${{ inputs.cuda-version }}
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ inputs.cuda-version }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
shell: bash
run: |
{
echo "CC=/usr/bin/gcc-${{ inputs.gcc-version }}";
echo "CXX=/usr/bin/g++-${{ inputs.gcc-version }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ inputs.gcc-version }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
shell: bash
run: nvidia-smi

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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -44,13 +44,17 @@ jobs:
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
@@ -72,7 +76,7 @@ jobs:
echo "branch=${BRANCH}" >> "${GITHUB_OUTPUT}"
- name: Clone test data
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
persist-credentials: 'false'
repository: zama-ai/tfhe-backward-compat-data
@@ -87,7 +91,7 @@ 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 +104,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -111,7 +115,7 @@ 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

@@ -51,26 +51,24 @@ 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
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:
@@ -133,7 +131,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -153,20 +151,24 @@ jobs:
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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@7b1c307e0dcbda6122208f10795a713336a9b35a
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'
@@ -193,37 +195,10 @@ 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@1bd1e32a3bdc45362d1e726936510720a7c30a57 #v4.2.0
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Install Node
if: steps.node-cache.outputs.cache-hit != 'true'
run: |
make install_node
- name: Node cache save
uses: actions/cache/save@1bd1e32a3bdc45362d1e726936510720a7c30a57 #v4.2.0
if: steps.node-cache.outputs.cache-hit != 'true'
with:
path: |
~/.nvm
~/.npm
key: node-${{ 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 +221,14 @@ 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() }}
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 +241,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -281,7 +252,7 @@ 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

@@ -39,27 +39,24 @@ jobs:
steps.changed-files.outputs.integer_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
integer:
- tfhe/Cargo.toml
- tfhe-csprng/**
- tfhe-fft/**
- concrete-csprng/**
- tfhe-zk-pok/**
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
- tfhe/src/integer/**
- .github/workflows/aws_tfhe_integer_tests.yml
setup-instance:
name: Setup instance (unsigned-integer-tests)
@@ -75,7 +72,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -93,13 +90,17 @@ jobs:
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
@@ -127,7 +128,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Unsigned Integer tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -140,7 +141,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -151,7 +152,7 @@ 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

@@ -39,27 +39,24 @@ jobs:
steps.changed-files.outputs.integer_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
integer:
- tfhe/Cargo.toml
- tfhe-csprng/**
- tfhe-fft/**
- concrete-csprng/**
- tfhe-zk-pok/**
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
- tfhe/src/integer/**
- .github/workflows/aws_tfhe_signed_integer_tests.yml
setup-instance:
name: Setup instance (unsigned-integer-tests)
@@ -75,7 +72,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -93,13 +90,17 @@ jobs:
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
@@ -131,7 +132,7 @@ 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: "Signed Integer tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -144,7 +145,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -155,7 +156,7 @@ 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -162,20 +151,24 @@ jobs:
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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@7b1c307e0dcbda6122208f10795a713336a9b35a
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 +205,6 @@ 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: |
@@ -237,7 +225,7 @@ 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: "CPU tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -250,7 +238,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -261,7 +249,7 @@ 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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -45,45 +45,23 @@ jobs:
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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@7b1c307e0dcbda6122208f10795a713336a9b35a
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@1bd1e32a3bdc45362d1e726936510720a7c30a57 #v4.2.0
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Install Node
if: steps.node-cache.outputs.cache-hit != 'true'
run: |
make install_node
- name: Node cache save
uses: actions/cache/save@1bd1e32a3bdc45362d1e726936510720a7c30a57 #v4.2.0
if: steps.node-cache.outputs.cache-hit != 'true'
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Install web resources
run: |
make install_node
make install_chrome_browser
make install_chrome_web_driver
@@ -93,20 +71,16 @@ jobs:
- 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
- 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 tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -119,7 +93,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -130,7 +104,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (wasm-tests) 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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -48,7 +48,7 @@ jobs:
continue-on-error: true
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
@@ -61,8 +61,13 @@ jobs:
echo "COMMIT_HASH=$(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@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
@@ -80,7 +85,8 @@ 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 +95,17 @@ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_boolean
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -114,7 +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: "Boolean benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -127,7 +133,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -138,7 +144,7 @@ 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

@@ -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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -44,7 +44,7 @@ jobs:
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
@@ -57,8 +57,13 @@ jobs:
echo "COMMIT_HASH=$(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@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
@@ -78,16 +83,17 @@ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -102,7 +108,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "PBS benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -115,7 +121,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -126,7 +132,7 @@ 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

@@ -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

@@ -39,7 +39,7 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
@@ -54,12 +54,12 @@ jobs:
echo "FAST_BENCH=TRUE" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -79,10 +79,11 @@ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_integer_multi_bit_gpu_default
path: ${{ env.RESULTS_FILENAME }}
@@ -96,7 +97,7 @@ 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: "Integer RTX 4090 full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -113,10 +114,9 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
@@ -127,12 +127,12 @@ jobs:
} >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -154,10 +154,10 @@ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
@@ -179,7 +179,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Core crypto RTX 4090 full 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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -48,19 +48,28 @@ jobs:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Get benchmark details
run: |
{
@@ -75,10 +84,31 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Run benchmarks with AVX512
run: |
make bench_pbs_gpu
@@ -95,16 +125,17 @@ jobs:
--commit-date "${{ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -124,7 +155,7 @@ 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 }})"
@@ -137,7 +168,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -148,7 +179,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-core-crypto-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,44 +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)"
- "4-h100 (n3-H100x4)"
- "multi-h100 (n3-H100x8)"
- "multi-h100-nvlink (n3-H100x8-NVLink)"
- "multi-h100-sxm5 (n3-H100x8-SXM5)"
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

@@ -1,180 +0,0 @@
# Run ERC20 benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Cuda ERC20 benchmarks - common
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
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (cuda-erc20-benchmarks)
runs-on: ubuntu-latest
if: github.event_name == 'workflow_dispatch' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@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: ${{ inputs.profile }}
cuda-erc20-benchmarks:
name: Cuda ERC20 benchmarks (${{ inputs.profile }})
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(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: Run benchmarks
run: |
make bench_hlapi_erc20_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "${{ 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: ${{ github.sha }}_erc20_${{ inputs.profile }}
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-erc20-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-erc20-benchmarks.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
env:
SLACK_COLOR: ${{ needs.cuda-erc20-benchmarks.result }}
SLACK_MESSAGE: "Cuda ERC20 benchmarks (${{ inputs.profile }}) finished with status: ${{ needs.cuda-erc20-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-erc20-${{ inputs.profile }}-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-erc20-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@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: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-erc20-${{ inputs.profile }}-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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

@@ -1,79 +1,201 @@
# Run CUDA benchmarks on a Hyperstack VM and return parsed results to Slab CI bot.
name: Cuda benchmarks
# Run integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Integer GPU 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-h100-sxm5 (n3-H100x8-SXM5)"
- "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
push:
branches:
- main
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:
parse-inputs:
setup-instance:
name: Setup instance (cuda-integer-benchmarks)
runs-on: ubuntu-latest
if: github.event_name == 'workflow_dispatch' ||
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs')
outputs:
profile: ${{ steps.parse_profile.outputs.profile }}
hardware_name: ${{ steps.parse_hardware_name.outputs.name }}
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Parse profile
id: parse_profile
run: |
echo "profile=$(echo '${{ inputs.profile }}' | sed 's|\(.*\)[[:space:]](.*)|\1|')" >> "${GITHUB_OUTPUT}"
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
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
- name: Parse hardware name
id: parse_hardware_name
cuda-integer-benchmarks:
name: Execute GPU integer benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
echo "name=$(echo '${{ inputs.profile }}' | sed 's|.*[[:space:]](\(.*\))|\1|')" >> "${GITHUB_OUTPUT}"
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ 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
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
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make FAST_BENCH=TRUE BENCH_OP_FLAVOR=default bench_integer_gpu
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@50769540e7f4bd5e21e526ee35c689e35e0d6874
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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-benchmarks.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU benchmarks finished with status: ${{ needs.cuda-integer-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-integer-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -0,0 +1,194 @@
# Run integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Integer 2xH100 benchmarks
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (cuda-integer-full-2-gpu-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: 2-h100
cuda-integer-full-2-gpu-benchmarks:
name: Execute 2xH100 integer benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer_multi_bit]
op_flavor: [default]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x2" \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-full-2-gpu-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-full-2-gpu-benchmarks.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-full-2-gpu-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU 2xH100 benchmarks finished with status: ${{ needs.cuda-integer-full-2-gpu-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-integer-full-2-gpu-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-integer-full-2-gpu-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
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-2-gpu-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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@@ -1,256 +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
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(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: 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 \
--bench-type ${{ matrix.bench_type }}
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}_${{ inputs.profile }}
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-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 }})"

View File

@@ -0,0 +1,200 @@
# 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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer, integer_multi_bit]
op_flavor: [default]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
# Run these benchmarks only once
- name: Run compression benchmarks with AVX512
if: matrix.op_flavor == 'default' && matrix.command == 'integer'
run: |
make bench_integer_compression_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x1" \
--backend gpu \
--project-version "${{ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-full-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-full-benchmarks.result != 'skipped' && failure() }}
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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

@@ -0,0 +1,224 @@
# 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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${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@50769540e7f4bd5e21e526ee35c689e35e0d6874
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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-multi-bit-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-multi-bit-benchmarks.result != 'skipped' && failure() }}
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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 }})"

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@@ -0,0 +1,214 @@
# 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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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
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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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 ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x8" \
--backend gpu \
--project-version "${{ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-multi-bit-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-multi-bit-multi-gpu-benchmarks.result != 'skipped' && failure() }}
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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 }})"

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@@ -0,0 +1,194 @@
# 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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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
cuda-integer-full-multi-gpu-benchmarks:
name: Execute multi GPU integer benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer_multi_bit]
op_flavor: [default]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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 ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x8" \
--backend gpu \
--project-version "${{ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-full-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-full-multi-gpu-benchmarks.result != 'skipped' && failure() }}
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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 }})"

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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

206
.github/workflows/benchmark_gpu_l40.yml vendored Normal file
View File

@@ -0,0 +1,206 @@
# Run benchmarks on an L40 VM and return parsed results to Slab CI bot.
name: Cuda benchmarks (L40)
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (cuda-l40-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: l40
cuda-l40-benchmarks:
name: Cuda benchmarks (L40)
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer_multi_bit]
op_flavor: [default]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
- name: Run compression benchmarks with AVX512
run: |
make bench_integer_compression_gpu
- name: Run PBS benchmarks
run: |
make bench_pbs_gpu
- name: Run KS benchmarks
run: |
make bench_ks_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-L40x1" \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
python3 slab/scripts/data_sender.py ${{ env.RESULTS_FILENAME }} "${{ secrets.JOB_SECRET }}" \
--slab-url "${{ secrets.SLAB_URL }}"
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-l40-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-l40-benchmarks.result != 'skipped' && failure() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-l40-benchmarks.result }}
SLACK_MESSAGE: "Cuda benchmarks (L40) finished with status: ${{ needs.cuda-l40-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-l40-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-l40-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
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-l40-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\", \"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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -113,10 +85,9 @@ 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
@@ -129,13 +100,18 @@ jobs:
echo "COMMIT_HASH=$(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@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -148,13 +124,13 @@ jobs:
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} BENCH_TYPE=${{ matrix.bench_type }} bench_${{ matrix.command }}
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}
# Run these benchmarks only once per benchmark type
# Run these benchmarks only once
- name: Run compression benchmarks with AVX512
if: matrix.op_flavor == 'default' && matrix.command == 'integer'
run: |
make BENCH_TYPE=${{ matrix.bench_type }} bench_integer_compression
make bench_integer_compression
- name: Parse results
run: |
@@ -167,12 +143,12 @@ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
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
@@ -184,7 +160,7 @@ 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: "Integer full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -197,7 +173,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -208,7 +184,7 @@ 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

@@ -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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -79,7 +79,7 @@ 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
@@ -92,13 +92,18 @@ jobs:
echo "COMMIT_HASH=$(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@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -120,7 +125,8 @@ 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 +138,11 @@ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_shortint_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
@@ -150,7 +156,7 @@ 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: "Shortint full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -163,7 +169,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -174,7 +180,7 @@ 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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -112,11 +84,10 @@ 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
@@ -129,13 +100,18 @@ jobs:
echo "COMMIT_HASH=$(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@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -148,7 +124,7 @@ 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_${{ matrix.command }}
- name: Parse results
run: |
@@ -161,12 +137,12 @@ jobs:
--bench-date "${{ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
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
@@ -178,7 +154,7 @@ 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: "Signed integer full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -191,7 +167,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -202,7 +178,7 @@ 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

@@ -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 }})"

View File

@@ -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 }})"

View File

@@ -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@bab30c2299617f6615ec02a68b9a40d10bd21366
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

@@ -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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -85,7 +84,7 @@ jobs:
browser: [ chrome, firefox ]
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
@@ -98,42 +97,21 @@ jobs:
echo "COMMIT_HASH=$(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@7b1c307e0dcbda6122208f10795a713336a9b35a
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@1bd1e32a3bdc45362d1e726936510720a7c30a57 #v4.2.0
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Install Node
if: steps.node-cache.outputs.cache-hit != 'true'
run: |
make install_node
- name: Node cache save
uses: actions/cache/save@1bd1e32a3bdc45362d1e726936510720a7c30a57 #v4.2.0
if: steps.node-cache.outputs.cache-hit != 'true'
with:
path: |
~/.nvm
~/.npm
key: node-${{ env.NODE_VERSION }}
- name: Install web resources
run: |
make install_node
make install_${{ matrix.browser }}_browser
make install_${{ matrix.browser }}_web_driver
make install_${{ matrix.browser }}_driver
- name: Run benchmarks
run: |
@@ -166,13 +144,13 @@ jobs:
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882
uses: actions/upload-artifact@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_wasm_${{ matrix.browser }}
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -187,7 +165,7 @@ 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: ${{ job.status }}
SLACK_MESSAGE: "WASM benchmarks (${{ matrix.browser }}) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -200,7 +178,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -211,7 +189,7 @@ 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -116,18 +77,14 @@ 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 || '' }}
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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
@@ -140,13 +97,18 @@ jobs:
echo "COMMIT_HASH=$(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@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -154,7 +116,7 @@ jobs:
- name: Run benchmarks with AVX512
run: |
make BENCH_TYPE=${{ matrix.bench_type }} bench_integer_zk
make bench_integer_zk
- name: Parse results
run: |
@@ -168,22 +130,22 @@ jobs:
--bench-date "${{ 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@50769540e7f4bd5e21e526ee35c689e35e0d6874
with:
name: ${{ github.sha }}_integer_zk
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: zama-ai/slab
path: slab
@@ -198,7 +160,7 @@ 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: "PKE ZK benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -211,7 +173,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -222,7 +184,7 @@ 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 }})"

View File

@@ -1,4 +1,4 @@
name: Cargo Build TFHE-rs
name: Cargo Build
on:
pull_request:
@@ -25,10 +25,10 @@ jobs:
fail-fast: false
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
@@ -47,10 +47,10 @@ jobs:
run: |
make pcc
- name: Build tfhe-csprng
- name: Build concrete-csprng
if: ${{ contains(matrix.os, 'ubuntu') }}
run: |
make build_tfhe_csprng
make build_concrete_csprng
- name: Build Release core
if: ${{ contains(matrix.os, 'ubuntu') }}

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@d632683dd7b4114ad314bca15554477dd762a938
- name: Get actionlint
run: |
@@ -27,7 +27,7 @@ jobs:
make lint_workflow
- name: Ensure SHA pinned actions
uses: zgosalvez/github-actions-ensure-sha-pinned-actions@5d6ac37a4cef8b8df67f482a8e384987766f0213 # v3.0.17
uses: zgosalvez/github-actions-ensure-sha-pinned-actions@b8f9a25a51fe633d9215ac7734854dc11cd299cb # v3.0.13
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -44,22 +44,26 @@ jobs:
timeout-minutes: 5760 # 4 days
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
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@7f8b4b4bde536c465e797be725718b88c5d95e0e
uses: codecov/codecov-action@b9fd7d16f6d7d1b5d2bec1a2887e65ceed900238
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@7f8b4b4bde536c465e797be725718b88c5d95e0e
uses: codecov/codecov-action@b9fd7d16f6d7d1b5d2bec1a2887e65ceed900238
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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

@@ -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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -45,13 +45,17 @@ jobs:
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
@@ -62,10 +66,10 @@ 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 +79,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -86,7 +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: "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

@@ -34,13 +34,13 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
@@ -77,7 +77,7 @@ 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: "CUDA RTX 4090 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
@@ -45,16 +44,14 @@ jobs:
- 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'
- Makefile
- '.github/workflows/gpu_fast_h100_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-h100-tests)
@@ -68,7 +65,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -94,28 +91,60 @@ jobs:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run core crypto and internal CUDA backend tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_core_crypto_gpu
@@ -142,7 +171,7 @@ 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-tests-linux.result }}
SLACK_MESSAGE: "Fast H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -155,7 +184,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -166,7 +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

@@ -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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
@@ -43,17 +42,15 @@ 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/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/gpu_fast_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
- Makefile
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-tests)
@@ -66,7 +63,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -92,28 +89,60 @@ jobs:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run core crypto and internal CUDA backend tests
run: |
make test_core_crypto_gpu
@@ -140,7 +169,7 @@ 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-tests-linux.result }}
SLACK_MESSAGE: "Base GPU tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -153,7 +182,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -164,7 +193,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -49,12 +49,15 @@ jobs:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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
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 }}
@@ -63,26 +66,43 @@ jobs:
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run core crypto, integer and internal CUDA backend tests
run: |
make test_gpu
@@ -107,7 +127,7 @@ 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-tests-linux.result }}
SLACK_MESSAGE: "Full H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -119,7 +139,7 @@ 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 +150,7 @@ 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

@@ -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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
@@ -44,17 +43,15 @@ 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/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- Makefile
- '.github/workflows/**_multi_gpu_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-tests-multi-gpu)
@@ -68,7 +65,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -94,28 +91,60 @@ jobs:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run multi-bit CUDA integer compression tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_integer_compression_gpu
@@ -145,7 +174,7 @@ 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-tests-linux.result }}
SLACK_MESSAGE: "Multi-GPU tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -158,7 +187,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -169,7 +198,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@c33737706dea87cd7784c687dadc9adf1be59990
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-tests-multi-gpu) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,114 +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: 2-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
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
with:
toolchain: stable
- 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

@@ -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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -53,7 +53,7 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
@@ -63,7 +63,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
@@ -97,7 +97,7 @@ 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: "CUDA AWS post-commit checks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
@@ -110,7 +110,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -121,7 +121,7 @@ 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

@@ -1,155 +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@bab30c2299617f6615ec02a68b9a40d10bd21366
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
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
with:
toolchain: stable
- 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

@@ -28,14 +28,14 @@ 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
@@ -44,17 +44,15 @@ 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/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- Makefile
- '.github/workflows/gpu_signed_integer_h100_tests.yml'
- scripts/integer-tests.sh
- ci/slab.toml
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-h100-tests)
@@ -68,7 +66,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -94,25 +92,61 @@ jobs:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
# 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: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Checkout tfhe-rs
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run signed integer tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_signed_integer_gpu_ci
- name: Run signed integer multi-bit tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_signed_integer_multi_bit_gpu_ci
@@ -125,7 +159,7 @@ 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-tests-linux.result }}
SLACK_MESSAGE: "Integer GPU H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -138,7 +172,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -149,7 +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 (cuda-h100-tests) 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
@@ -51,17 +51,15 @@ 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/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
- Makefile
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-signed-integer-tests)
@@ -69,13 +67,13 @@ 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')
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -101,28 +99,56 @@ jobs:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ 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
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
persist-credentials: 'false'
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Should run nightly tests
if: github.event_name == 'schedule'
run: |
@@ -131,6 +157,10 @@ jobs:
echo "NIGHTLY_TESTS=TRUE";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run signed integer multi-bit tests
run: |
make test_signed_integer_multi_bit_gpu_ci
@@ -143,7 +173,7 @@ 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-signed-integer-tests.result }}
SLACK_MESSAGE: "Base GPU tests finished with status: ${{ needs.cuda-signed-integer-tests.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -156,7 +186,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -167,7 +197,7 @@ 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

@@ -1,155 +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@bab30c2299617f6615ec02a68b9a40d10bd21366
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
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
- name: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
with:
toolchain: stable
- 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

@@ -28,14 +28,14 @@ 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
@@ -44,17 +44,15 @@ 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/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
- Makefile
- '.github/workflows/gpu_unsigned_integer_tests.yml'
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-h100-tests)
@@ -68,7 +66,7 @@ jobs:
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -94,25 +92,61 @@ jobs:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
# 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: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Checkout tfhe-rs
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run unsigned integer tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_unsigned_integer_gpu_ci
- name: Run unsigned integer multi-bit tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_unsigned_integer_multi_bit_gpu_ci
@@ -125,7 +159,7 @@ 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-tests-linux.result }}
SLACK_MESSAGE: "Unsigned integer GPU H100 tests finished with status: ${{ needs.cuda-tests-linux.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -138,7 +172,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -149,7 +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 (cuda-h100-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 +35,14 @@ 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@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@bab30c2299617f6615ec02a68b9a40d10bd21366
uses: tj-actions/changed-files@c3a1bb2c992d77180ae65be6ae6c166cf40f857c
with:
since_last_remote_commit: true
files_yaml: |
@@ -50,31 +51,29 @@ 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/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
- Makefile
- scripts/**
- ci/**
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')
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -100,25 +99,53 @@ jobs:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
# 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: Setup Hyperstack dependencies
uses: ./.github/actions/hyperstack_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
- name: Checkout tfhe-rs
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Should run nightly tests
if: github.event_name == 'schedule'
run: |
@@ -127,6 +154,10 @@ jobs:
echo "NIGHTLY_TESTS=TRUE";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run unsigned integer multi-bit tests
run: |
make test_unsigned_integer_multi_bit_gpu_ci
@@ -139,7 +170,7 @@ 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-unsigned-integer-tests.result }}
SLACK_MESSAGE: "Unsigned integer GPU tests finished with status: ${{ needs.cuda-unsigned-integer-tests.result }}. (${{ env.ACTION_RUN_URL }})"
@@ -152,7 +183,7 @@ jobs:
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@98f0788261a7323d5d695a883e20df36591a92b7
uses: zama-ai/slab-github-runner@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -163,7 +194,7 @@ 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

@@ -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

@@ -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@d632683dd7b4114ad314bca15554477dd762a938
with:
persist-credentials: "false"
persist-credentials: 'false'
- name: Install latest stable
uses: dtolnay/rust-toolchain@315e265cd78dad1e1dcf3a5074f6d6c47029d5aa
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
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@d632683dd7b4114ad314bca15554477dd762a938
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@50769540e7f4bd5e21e526ee35c689e35e0d6874 # v4.4.0
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@d632683dd7b4114ad314bca15554477dd762a938
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 +1,4 @@
name: Publish tfhe-csprng release
name: Publish concrete-csprng release
on:
workflow_dispatch:
@@ -12,38 +12,30 @@ 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@d632683dd7b4114ad314bca15554477dd762a938
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 finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -21,22 +21,15 @@ 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@c0e7168795bd78f61f61146951ed9d0c73c9b701
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
@@ -61,17 +54,16 @@ jobs:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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@7b1c307e0dcbda6122208f10795a713336a9b35a
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@c0e7168795bd78f61f61146951ed9d0c73c9b701
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

@@ -12,22 +12,14 @@ 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-versionable Release
needs: verify_tag
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
fetch-depth: 0
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Publish proc-macro crate
env:
@@ -46,7 +38,7 @@ 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

@@ -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@d632683dd7b4114ad314bca15554477dd762a938
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

@@ -17,10 +17,10 @@ jobs:
runs-on: large_ubuntu_16
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
- name: Checkout lattice-estimator
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
with:
repository: malb/lattice-estimator
path: lattice_estimator
@@ -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

@@ -13,10 +13,9 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repo
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938
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

3
.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
@@ -29,8 +28,6 @@ backends/tfhe-cuda-backend/cuda/cmake-build-debug/
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"

580
Makefile

File diff suppressed because it is too large Load Diff

View File

@@ -70,12 +70,26 @@ production-ready library for all the advanced features of TFHE.
### 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"] }
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 >= 1.81 to compile TFHE-rs.
> 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.

View File

@@ -6,8 +6,15 @@ edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[dependencies]
rayon = { workspace = true }
tfhe = { path = "../../tfhe", features = [ "boolean", "shortint", "integer" ] }
rayon = { version = "1.7.0"}
[target.'cfg(target_arch = "x86_64")'.dependencies.tfhe]
path = "../../tfhe"
features = [ "boolean", "shortint", "integer", "x86_64" ]
[target.'cfg(target_arch = "aarch64")'.dependencies.tfhe]
path = "../../tfhe"
features = [ "boolean", "shortint", "integer", "aarch64-unix" ]
[dev-dependencies]
criterion = { version = "0.5.1", features = [ "html_reports" ]}

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

@@ -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

@@ -1,7 +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

@@ -1,6 +1,6 @@
[package]
name = "tfhe-cuda-backend"
version = "0.6.0"
version = "0.4.0"
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

@@ -1,24 +1,25 @@
#ifndef CUDA_CIPHERTEXT_H
#define CUDA_CIPHERTEXT_H
#include "stdint.h"
#include "device.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,
void *lwe_array_out, void *glwe_array_in,
uint32_t *nth_array, uint32_t num_nths,
uint32_t glwe_dimension,
uint32_t polynomial_size);
}
};
#endif

View File

@@ -1,7 +1,46 @@
#ifndef CUDA_INTEGER_COMPRESSION_UTILITIES_H
#define CUDA_INTEGER_COMPRESSION_UTILITIES_H
#ifndef CUDA_INTEGER_COMPRESSION_H
#define CUDA_INTEGER_COMPRESSION_H
#include "../integer_utilities.h"
#include "integer.h"
extern "C" {
void scratch_cuda_integer_compress_radix_ciphertext_64(
void **streams, uint32_t *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 **streams, uint32_t *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 **streams, uint32_t *gpu_indexes, uint32_t gpu_count,
void *glwe_array_out, void *lwe_array_in, void **fp_ksk, uint32_t num_nths,
int8_t *mem_ptr);
void cuda_integer_decompress_radix_ciphertext_64(
void **streams, uint32_t *gpu_indexes, uint32_t gpu_count,
void *lwe_array_out, void *glwe_in, uint32_t *indexes_array,
uint32_t indexes_array_size, void **bsks, int8_t *mem_ptr);
void cleanup_cuda_integer_compress_radix_ciphertext_64(void **streams,
uint32_t *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
void cleanup_cuda_integer_decompress_radix_ciphertext_64(void **streams,
uint32_t *gpu_indexes,
uint32_t gpu_count,
int8_t **mem_ptr_void);
}
template <typename Torus> struct int_compression {
int_radix_params compression_params;
@@ -15,7 +54,7 @@ template <typename Torus> struct int_compression {
Torus *tmp_lwe;
Torus *tmp_glwe_array_out;
int_compression(cudaStream_t const *streams, uint32_t const *gpu_indexes,
int_compression(cudaStream_t *streams, uint32_t *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) {
@@ -42,7 +81,7 @@ template <typename Torus> struct int_compression {
num_radix_blocks, true);
}
}
void release(cudaStream_t const *streams, uint32_t const *gpu_indexes,
void release(cudaStream_t *streams, uint32_t *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]);
@@ -66,7 +105,7 @@ template <typename Torus> struct int_decompression {
int_radix_lut<Torus> *carry_extract_lut;
int_decompression(cudaStream_t const *streams, uint32_t const *gpu_indexes,
int_decompression(cudaStream_t *streams, uint32_t *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,
@@ -102,15 +141,16 @@ template <typename Torus> struct int_decompression {
};
generate_device_accumulator<Torus>(
streams[0], gpu_indexes[0], carry_extract_lut->get_lut(0, 0),
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, 0);
carry_extract_lut->broadcast_lut(streams, gpu_indexes, gpu_indexes[0]);
}
}
void release(cudaStream_t const *streams, uint32_t const *gpu_indexes,
void release(cudaStream_t *streams, uint32_t *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]);

View File

@@ -27,23 +27,12 @@ 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);
@@ -53,7 +42,7 @@ void cuda_check_valid_malloc(uint64_t size, uint32_t gpu_index);
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,

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

@@ -1,444 +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

View File

@@ -1,23 +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 *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 scratch_packing_keyswitch_lwe_list_to_glwe_64(
void *stream, uint32_t gpu_index, int8_t **fp_ks_buffer,
@@ -25,11 +23,10 @@ void scratch_packing_keyswitch_lwe_list_to_glwe_64(
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 *stream, uint32_t gpu_index, void *glwe_array_out, void *lwe_array_in,
void *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,

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

@@ -1,10 +1,87 @@
#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, 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 *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);
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);
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 *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 lut_count, uint32_t lut_stride);
void cuda_programmable_bootstrap_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *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 lut_count, uint32_t lut_stride);
void cleanup_cuda_programmable_bootstrap(void *stream, uint32_t gpu_index,
int8_t **pbs_buffer);
}
template <typename Torus>
uint64_t get_buffer_size_full_sm_programmable_bootstrap_step_one(
@@ -69,7 +146,7 @@ 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;
@@ -114,7 +191,7 @@ 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 +224,7 @@ 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);
@@ -194,7 +271,7 @@ 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 +285,7 @@ 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);
@@ -250,35 +327,32 @@ bool has_support_to_cuda_programmable_bootstrap_cg(uint32_t glwe_dimension,
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 level_count, uint32_t num_samples, uint32_t lut_count,
uint32_t lut_stride);
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 level_count, uint32_t num_samples, uint32_t lut_count,
uint32_t lut_stride);
#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 level_count, uint32_t num_samples, uint32_t lut_count,
uint32_t lut_stride);
template <typename Torus>
@@ -334,4 +408,4 @@ __device__ const T *get_multi_bit_ith_lwe_gth_group_kth_block(
#endif
#endif // CUDA_BOOTSTRAP_UTILITIES_H
#endif // CUDA_BOOTSTRAP_H

View File

@@ -1,7 +1,38 @@
#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);
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 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 *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 lut_count,
uint32_t lut_stride);
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(
@@ -22,13 +53,12 @@ void scratch_cuda_tbc_multi_bit_programmable_bootstrap(
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 lut_count, uint32_t lut_stride);
#endif
template <typename Torus>
@@ -40,13 +70,12 @@ void scratch_cuda_cg_multi_bit_programmable_bootstrap(
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 lut_count, uint32_t lut_stride);
template <typename Torus>
void scratch_cuda_multi_bit_programmable_bootstrap(
@@ -57,13 +86,12 @@ void scratch_cuda_multi_bit_programmable_bootstrap(
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 lut_count, uint32_t lut_stride);
template <typename Torus>
uint64_t get_buffer_size_full_sm_multibit_programmable_bootstrap_keybundle(
@@ -93,10 +121,6 @@ template <typename Torus>
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;
@@ -106,7 +130,7 @@ template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::MULTI_BIT> {
uint32_t lwe_chunk_size;
double2 *keybundle_fft;
Torus *global_accumulator;
double2 *global_join_buffer;
double2 *global_accumulator_fft;
PBS_VARIANT pbs_variant;
@@ -225,12 +249,10 @@ 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 +284,12 @@ 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>
uint32_t get_lwe_chunk_size(uint32_t gpu_index, uint32_t max_num_pbs,
uint32_t polynomial_size);
#endif // CUDA_MULTI_BIT_H

View File

@@ -22,8 +22,8 @@ void cuda_convert_lwe_ciphertext_vector_to_cpu_64(void *stream,
}
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,
void *lwe_array_out, void *glwe_array_in,
uint32_t *nth_array, uint32_t num_nths,
uint32_t glwe_dimension,
uint32_t polynomial_size) {
@@ -31,43 +31,43 @@ void cuda_glwe_sample_extract_64(void *stream, uint32_t gpu_index,
case 256:
host_sample_extract<uint64_t, AmortizedDegree<256>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
(uint64_t *)glwe_array_in, (uint32_t *)nth_array, num_nths,
glwe_dimension);
break;
case 512:
host_sample_extract<uint64_t, AmortizedDegree<512>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
(uint64_t *)glwe_array_in, (uint32_t *)nth_array, num_nths,
glwe_dimension);
break;
case 1024:
host_sample_extract<uint64_t, AmortizedDegree<1024>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
(uint64_t *)glwe_array_in, (uint32_t *)nth_array, num_nths,
glwe_dimension);
break;
case 2048:
host_sample_extract<uint64_t, AmortizedDegree<2048>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
(uint64_t *)glwe_array_in, (uint32_t *)nth_array, num_nths,
glwe_dimension);
break;
case 4096:
host_sample_extract<uint64_t, AmortizedDegree<4096>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
(uint64_t *)glwe_array_in, (uint32_t *)nth_array, num_nths,
glwe_dimension);
break;
case 8192:
host_sample_extract<uint64_t, AmortizedDegree<8192>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
(uint64_t *)glwe_array_in, (uint32_t *)nth_array, num_nths,
glwe_dimension);
break;
case 16384:
host_sample_extract<uint64_t, AmortizedDegree<16384>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t const *)glwe_array_in, (uint32_t const *)nth_array, num_nths,
(uint64_t *)glwe_array_in, (uint32_t *)nth_array, num_nths,
glwe_dimension);
break;
default:

View File

@@ -27,9 +27,8 @@ void cuda_convert_lwe_ciphertext_vector_to_cpu(cudaStream_t stream,
}
template <typename Torus, class params>
__global__ void sample_extract(Torus *lwe_array_out, Torus const *glwe_array_in,
uint32_t const *nth_array,
uint32_t glwe_dimension) {
__global__ void sample_extract(Torus *lwe_array_out, Torus *glwe_array_in,
uint32_t *nth_array, uint32_t glwe_dimension) {
const int input_id = blockIdx.x;
@@ -51,9 +50,8 @@ __global__ void sample_extract(Torus *lwe_array_out, Torus const *glwe_array_in,
template <typename Torus, class params>
__host__ void host_sample_extract(cudaStream_t stream, uint32_t gpu_index,
Torus *lwe_array_out,
Torus const *glwe_array_in,
uint32_t const *nth_array, uint32_t num_nths,
Torus *lwe_array_out, Torus *glwe_array_in,
uint32_t *nth_array, uint32_t num_nths,
uint32_t glwe_dimension) {
cudaSetDevice(gpu_index);

View File

@@ -1,7 +1,6 @@
#ifndef CNCRT_CRYPTO_CUH
#define CNCRT_CRPYTO_CUH
#include "crypto/torus.cuh"
#include "device.h"
#include <cstdint>
@@ -22,6 +21,7 @@ private:
uint32_t base_log;
uint32_t mask;
uint32_t num_poly;
int current_level;
T mask_mod_b;
T *state;
@@ -32,6 +32,13 @@ public:
state(state) {
mask_mod_b = (1ll << base_log) - 1ll;
current_level = level_count;
int tid = threadIdx.x;
for (int i = 0; i < num_poly * params::opt; i++) {
state[tid] >>= (sizeof(T) * 8 - base_log * level_count);
tid += params::degree / params::opt;
}
synchronize_threads_in_block();
}
// Decomposes all polynomials at once
@@ -45,30 +52,28 @@ public:
// Decomposes a single polynomial
__device__ void decompose_and_compress_next_polynomial(double2 *result,
int j) {
uint32_t tid = threadIdx.x;
auto state_slice = &state[j * params::degree];
if (j == 0)
current_level -= 1;
int tid = threadIdx.x;
auto state_slice = state + j * params::degree;
for (int i = 0; i < params::opt / 2; i++) {
auto input1 = &state_slice[tid];
auto input2 = &state_slice[tid + params::degree / 2];
T res_re = *input1 & mask_mod_b;
T res_im = *input2 & mask_mod_b;
*input1 >>= base_log; // Update state
*input2 >>= base_log; // Update state
T carry_re = ((res_re - 1ll) | *input1) & res_re;
T carry_im = ((res_im - 1ll) | *input2) & res_im;
T res_re = state_slice[tid] & mask_mod_b;
T res_im = state_slice[tid + params::degree / 2] & mask_mod_b;
state_slice[tid] >>= base_log;
state_slice[tid + params::degree / 2] >>= base_log;
T carry_re = ((res_re - 1ll) | state_slice[tid]) & res_re;
T carry_im =
((res_im - 1ll) | state_slice[tid + params::degree / 2]) & res_im;
carry_re >>= (base_log - 1);
carry_im >>= (base_log - 1);
*input1 += carry_re; // Update state
*input2 += carry_im; // Update state
state_slice[tid] += carry_re;
state_slice[tid + params::degree / 2] += carry_im;
res_re -= carry_re << base_log;
res_im -= carry_im << base_log;
typecast_torus_to_double(res_re, result[tid].x);
typecast_torus_to_double(res_im, result[tid].y);
result[tid].x = (int32_t)res_re;
result[tid].y = (int32_t)res_im;
tid += params::degree / params::opt;
}

View File

@@ -37,18 +37,16 @@ void cuda_keyswitch_lwe_ciphertext_vector_32(
*/
void cuda_keyswitch_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void const *lwe_output_indexes, void const *lwe_array_in,
void const *lwe_input_indexes, void const *ksk, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log, uint32_t level_count,
uint32_t num_samples) {
void *lwe_output_indexes, void *lwe_array_in, void *lwe_input_indexes,
void *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples) {
host_keyswitch_lwe_ciphertext_vector<uint64_t>(
static_cast<cudaStream_t>(stream), gpu_index,
static_cast<uint64_t *>(lwe_array_out),
static_cast<const uint64_t *>(lwe_output_indexes),
static_cast<const uint64_t *>(lwe_array_in),
static_cast<const uint64_t *>(lwe_input_indexes),
static_cast<const uint64_t *>(ksk), lwe_dimension_in, lwe_dimension_out,
base_log, level_count, num_samples);
static_cast<uint64_t *>(lwe_output_indexes),
static_cast<uint64_t *>(lwe_array_in),
static_cast<uint64_t *>(lwe_input_indexes), static_cast<uint64_t *>(ksk),
lwe_dimension_in, lwe_dimension_out, base_log, level_count, num_samples);
}
void scratch_packing_keyswitch_lwe_list_to_glwe_64(
@@ -63,19 +61,18 @@ void scratch_packing_keyswitch_lwe_list_to_glwe_64(
* ciphertexts.
*/
void cuda_packing_keyswitch_lwe_list_to_glwe_64(
void *stream, uint32_t gpu_index, void *glwe_array_out,
void const *lwe_array_in, void const *fp_ksk_array, int8_t *fp_ks_buffer,
uint32_t input_lwe_dimension, uint32_t output_glwe_dimension,
uint32_t output_polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_lwes) {
void *stream, uint32_t gpu_index, void *glwe_array_out, void *lwe_array_in,
void *fp_ksk_array, int8_t *fp_ks_buffer, uint32_t input_lwe_dimension,
uint32_t output_glwe_dimension, uint32_t output_polynomial_size,
uint32_t base_log, uint32_t level_count, uint32_t num_lwes) {
host_packing_keyswitch_lwe_list_to_glwe<uint64_t>(
static_cast<cudaStream_t>(stream), gpu_index,
static_cast<uint64_t *>(glwe_array_out),
static_cast<const uint64_t *>(lwe_array_in),
static_cast<const uint64_t *>(fp_ksk_array), fp_ks_buffer,
input_lwe_dimension, output_glwe_dimension, output_polynomial_size,
base_log, level_count, num_lwes);
static_cast<uint64_t *>(lwe_array_in),
static_cast<uint64_t *>(fp_ksk_array), fp_ks_buffer, input_lwe_dimension,
output_glwe_dimension, output_polynomial_size, base_log, level_count,
num_lwes);
}
void cleanup_packing_keyswitch_lwe_list_to_glwe(void *stream,

View File

@@ -71,8 +71,9 @@ keyswitch(Torus *lwe_array_out, const Torus *__restrict__ lwe_output_indexes,
// This loop distribution seems to benefit the global mem reads
for (int i = start_i; i < end_i; i++) {
Torus state =
init_decomposer_state(block_lwe_array_in[i], base_log, level_count);
Torus a_i = round_to_closest_multiple(block_lwe_array_in[i], base_log,
level_count);
Torus state = a_i >> (sizeof(Torus) * 8 - base_log * level_count);
for (int j = 0; j < level_count; j++) {
auto ksk_block =
@@ -100,10 +101,9 @@ keyswitch(Torus *lwe_array_out, const Torus *__restrict__ lwe_output_indexes,
template <typename Torus>
__host__ void host_keyswitch_lwe_ciphertext_vector(
cudaStream_t stream, uint32_t gpu_index, Torus *lwe_array_out,
Torus const *lwe_output_indexes, Torus const *lwe_array_in,
Torus const *lwe_input_indexes, Torus const *ksk, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log, uint32_t level_count,
uint32_t num_samples) {
Torus *lwe_output_indexes, Torus *lwe_array_in, Torus *lwe_input_indexes,
Torus *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples) {
cudaSetDevice(gpu_index);
@@ -124,13 +124,13 @@ __host__ void host_keyswitch_lwe_ciphertext_vector(
}
template <typename Torus>
void execute_keyswitch_async(cudaStream_t const *streams,
uint32_t const *gpu_indexes, uint32_t gpu_count,
void execute_keyswitch_async(cudaStream_t *streams, uint32_t *gpu_indexes,
uint32_t gpu_count,
const LweArrayVariant<Torus> &lwe_array_out,
const LweArrayVariant<Torus> &lwe_output_indexes,
const LweArrayVariant<Torus> &lwe_array_in,
const LweArrayVariant<Torus> &lwe_input_indexes,
Torus *const *ksks, uint32_t lwe_dimension_in,
Torus **ksks, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log,
uint32_t level_count, uint32_t num_samples) {
@@ -176,9 +176,9 @@ __host__ void scratch_packing_keyswitch_lwe_list_to_glwe(
// different thread blocks at the x-axis to work on that input.
template <typename Torus>
__device__ void packing_keyswitch_lwe_ciphertext_into_glwe_ciphertext(
Torus *glwe_out, Torus const *lwe_in, Torus const *fp_ksk,
uint32_t lwe_dimension_in, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count) {
Torus *glwe_out, Torus *lwe_in, Torus *fp_ksk, uint32_t lwe_dimension_in,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t base_log,
uint32_t level_count) {
const int tid = threadIdx.x + blockIdx.x * blockDim.x;
size_t glwe_size = (glwe_dimension + 1);
@@ -200,8 +200,9 @@ __device__ void packing_keyswitch_lwe_ciphertext_into_glwe_ciphertext(
// Iterate through all lwe elements
for (int i = 0; i < lwe_dimension_in; i++) {
// Round and prepare decomposition
Torus state = init_decomposer_state(lwe_in[i], base_log, level_count);
Torus a_i = round_to_closest_multiple(lwe_in[i], base_log, level_count);
Torus state = a_i >> (sizeof(Torus) * 8 - base_log * level_count);
Torus mod_b_mask = (1ll << base_log) - 1ll;
// block of key for current lwe coefficient (cur_input_lwe[i])
@@ -224,11 +225,12 @@ __device__ void packing_keyswitch_lwe_ciphertext_into_glwe_ciphertext(
// Assumes there are (glwe_dimension+1) * polynomial_size threads split through
// different thread blocks at the x-axis to work on that input.
template <typename Torus>
__global__ void packing_keyswitch_lwe_list_to_glwe(
Torus *glwe_array_out, Torus const *lwe_array_in, Torus const *fp_ksk,
uint32_t lwe_dimension_in, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
Torus *d_mem) {
__global__ void
packing_keyswitch_lwe_list_to_glwe(Torus *glwe_array_out, Torus *lwe_array_in,
Torus *fp_ksk, uint32_t lwe_dimension_in,
uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log,
uint32_t level_count, Torus *d_mem) {
const int tid = threadIdx.x + blockIdx.x * blockDim.x;
const int glwe_accumulator_size = (glwe_dimension + 1) * polynomial_size;
@@ -242,16 +244,16 @@ __global__ void packing_keyswitch_lwe_list_to_glwe(
auto ks_glwe_out = d_mem + input_id * glwe_accumulator_size;
auto glwe_out = glwe_array_out + input_id * glwe_accumulator_size;
// KS LWE to GLWE
packing_keyswitch_lwe_ciphertext_into_glwe_ciphertext<Torus>(
packing_keyswitch_lwe_ciphertext_into_glwe_ciphertext(
ks_glwe_out, lwe_in, fp_ksk, lwe_dimension_in, glwe_dimension,
polynomial_size, base_log, level_count);
// P * x ^degree
auto in_poly = ks_glwe_out + (tid / polynomial_size) * polynomial_size;
auto out_result = glwe_out + (tid / polynomial_size) * polynomial_size;
polynomial_accumulate_monic_monomial_mul<Torus>(out_result, in_poly, degree,
tid % polynomial_size,
polynomial_size, 1, true);
polynomial_accumulate_monic_monomial_mul(out_result, in_poly, degree,
tid % polynomial_size,
polynomial_size, 1, true);
}
/// To-do: Rewrite this kernel for efficiency
@@ -274,7 +276,7 @@ __global__ void accumulate_glwes(Torus *glwe_out, Torus *glwe_array_in,
template <typename Torus>
__host__ void host_packing_keyswitch_lwe_list_to_glwe(
cudaStream_t stream, uint32_t gpu_index, Torus *glwe_out,
Torus const *lwe_array_in, Torus const *fp_ksk_array, int8_t *fp_ks_buffer,
Torus *lwe_array_in, Torus *fp_ksk_array, int8_t *fp_ks_buffer,
uint32_t lwe_dimension_in, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t base_log, uint32_t level_count,
uint32_t num_lwes) {
@@ -297,13 +299,13 @@ __host__ void host_packing_keyswitch_lwe_list_to_glwe(
auto d_tmp_glwe_array_out = d_mem + num_lwes * glwe_accumulator_size;
// individually keyswitch each lwe
packing_keyswitch_lwe_list_to_glwe<Torus><<<grid, threads, 0, stream>>>(
packing_keyswitch_lwe_list_to_glwe<<<grid, threads, 0, stream>>>(
d_tmp_glwe_array_out, lwe_array_in, fp_ksk_array, lwe_dimension_in,
glwe_dimension, polynomial_size, base_log, level_count, d_mem);
check_cuda_error(cudaGetLastError());
// accumulate to a single glwe
accumulate_glwes<Torus><<<num_blocks, threads, 0, stream>>>(
accumulate_glwes<<<num_blocks, threads, 0, stream>>>(
glwe_out, d_tmp_glwe_array_out, glwe_dimension, polynomial_size,
num_lwes);
check_cuda_error(cudaGetLastError());

View File

@@ -1,7 +1,6 @@
#ifndef CNCRT_TORUS_CUH
#define CNCRT_TORUS_CUH
#include "device.h"
#include "polynomial/parameters.cuh"
#include "types/int128.cuh"
#include "utils/kernel_dimensions.cuh"
@@ -12,11 +11,6 @@ __host__ __device__ __forceinline__ constexpr double get_two_pow_torus_bits() {
return (sizeof(T) == 4) ? 4294967296.0 : 18446744073709551616.0;
}
template <typename T>
__host__ __device__ __forceinline__ constexpr T scalar_max() {
return std::numeric_limits<T>::max();
}
template <typename T>
__device__ inline void typecast_double_to_torus(double x, T &r) {
r = T(x);
@@ -50,36 +44,14 @@ __device__ inline void typecast_double_round_to_torus(double x, T &r) {
}
template <typename T>
__device__ inline void typecast_torus_to_double(T x, double &r);
template <>
__device__ inline void typecast_torus_to_double<uint32_t>(uint32_t x,
double &r) {
r = __int2double_rn(x);
}
template <>
__device__ inline void typecast_torus_to_double<uint64_t>(uint64_t x,
double &r) {
r = __ll2double_rn(x);
}
template <typename T>
__device__ inline T init_decomposer_state(T input, uint32_t base_log,
uint32_t level_count) {
const T rep_bit_count = level_count * base_log;
const T non_rep_bit_count = sizeof(T) * 8 - rep_bit_count;
T res = input >> (non_rep_bit_count - 1);
T rounding_bit = res & (T)(1);
res++;
res >>= 1;
T torus_max = scalar_max<T>();
T mod_mask = torus_max >> non_rep_bit_count;
res &= mod_mask;
T shifted_random = rounding_bit << (rep_bit_count - 1);
T need_balance =
(((res - (T)(1)) | shifted_random) & res) >> (rep_bit_count - 1);
return res - (need_balance << rep_bit_count);
__device__ inline T round_to_closest_multiple(T x, uint32_t base_log,
uint32_t level_count) {
const T non_rep_bit_count = sizeof(T) * 8 - level_count * base_log;
const T shift = non_rep_bit_count - 1;
T res = x >> shift;
res += 1;
res &= (T)(-2);
return res << shift;
}
template <typename T>

View File

@@ -2,30 +2,6 @@
#include <cstdint>
#include <cuda_runtime.h>
cudaEvent_t cuda_create_event(uint32_t gpu_index) {
check_cuda_error(cudaSetDevice(gpu_index));
cudaEvent_t event;
check_cuda_error(cudaEventCreate(&event));
return event;
}
void cuda_event_record(cudaEvent_t event, cudaStream_t stream,
uint32_t gpu_index) {
check_cuda_error(cudaSetDevice(gpu_index));
check_cuda_error(cudaEventRecord(event, stream));
}
void cuda_stream_wait_event(cudaStream_t stream, cudaEvent_t event,
uint32_t gpu_index) {
check_cuda_error(cudaSetDevice(gpu_index));
check_cuda_error(cudaStreamWaitEvent(stream, event, 0));
}
void cuda_event_destroy(cudaEvent_t event, uint32_t gpu_index) {
check_cuda_error(cudaSetDevice(gpu_index));
check_cuda_error(cudaEventDestroy(event));
}
/// Unsafe function to create a CUDA stream, must check first that GPU exists
cudaStream_t cuda_create_stream(uint32_t gpu_index) {
check_cuda_error(cudaSetDevice(gpu_index));
@@ -45,9 +21,6 @@ void cuda_synchronize_stream(cudaStream_t stream, uint32_t gpu_index) {
check_cuda_error(cudaStreamSynchronize(stream));
}
// Determine if a CUDA device is available at runtime
uint32_t cuda_is_available() { return cudaSetDevice(0) == cudaSuccess; }
/// Unsafe function that will try to allocate even if gpu_index is invalid
/// or if there's not enough memory. A safe wrapper around it must call
/// cuda_check_valid_malloc() first
@@ -140,7 +113,7 @@ void cuda_memcpy_async_to_gpu(void *dest, void *src, uint64_t size,
}
/// Copy memory within a GPU asynchronously
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) {
if (size == 0)
return;
@@ -295,20 +268,17 @@ void cuda_drop_async(void *ptr, cudaStream_t stream, uint32_t gpu_index) {
/// Get the maximum size for the shared memory
int cuda_get_max_shared_memory(uint32_t gpu_index) {
int max_shared_memory = 0;
cudaDeviceGetAttribute(&max_shared_memory, cudaDevAttrMaxSharedMemoryPerBlock,
gpu_index);
check_cuda_error(cudaGetLastError());
#if CUDA_ARCH == 900
max_shared_memory = 226000;
#elif CUDA_ARCH == 890
max_shared_memory = 100000;
#elif CUDA_ARCH == 860
max_shared_memory = 100000;
max_shared_memory = 127000;
#elif CUDA_ARCH == 800
max_shared_memory = 163000;
#elif CUDA_ARCH == 700
max_shared_memory = 95000;
#else
cudaDeviceGetAttribute(&max_shared_memory, cudaDevAttrMaxSharedMemoryPerBlock,
gpu_index);
check_cuda_error(cudaGetLastError());
#endif
return max_shared_memory;
}

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