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Author SHA1 Message Date
J-B Orfila
d0937aae20 pbs count 2024-03-20 18:28:02 +01:00
1057 changed files with 53207 additions and 118955 deletions

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@@ -3,8 +3,6 @@ self-hosted-runner:
labels:
- m1mac
- 4090-desktop
- large_windows_16_latest
- large_ubuntu_16
# Configuration variables in array of strings defined in your repository or
# organization. `null` means disabling configuration variables check.
# Empty array means no configuration variable is allowed.

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@@ -1,5 +1,5 @@
# Add labels in pull request
name: PR label manager
# Manage approved label in pull request
name: PR approved label manager
on:
pull_request:
@@ -21,16 +21,14 @@ jobs:
uses: actions-ecosystem/action-remove-labels@2ce5d41b4b6aa8503e285553f75ed56e0a40bae0
with:
# We use a PAT to have the same user (zama-bot) for label deletion as for creation.
github_token: ${{ secrets.FHE_ACTIONS_TOKEN }}
github_token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
labels: approved
# Add label only if the review is approved and if the label doesn't already exist
- name: Add approved label
uses: actions-ecosystem/action-add-labels@18f1af5e3544586314bbe15c0273249c770b2daf
if: ${{ github.event_name == 'pull_request_review'
&& github.event.review.state == 'approved'
&& !contains(fromJSON(env.LABELS), 'approved') }}
if: ${{ github.event_name == 'pull_request_review' && github.event.review.state == 'approved' && !contains(fromJSON(env.LABELS), 'approved') }}
with:
# We need to use a PAT to be able to trigger `labeled` event for the other workflow.
github_token: ${{ secrets.FHE_ACTIONS_TOKEN }}
github_token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
labels: approved

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@@ -1,120 +0,0 @@
# Run backward compatibility tests
name: Backward compatibility Tests on CPU
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
jobs:
setup-instance:
name: Setup instance (backward-compat-tests)
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: cpu-small
backward-compat-tests:
name: Backward compatibility tests
needs: [ setup-instance ]
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Install git-lfs
run: |
sudo apt update && sudo apt -y install git-lfs
- name: Use specific data branch
if: ${{ contains(github.event.pull_request.labels.*.name, 'data_PR') }}
env:
PR_BRANCH: ${{ github.head_ref || github.ref_name }}
run: |
echo "BACKWARD_COMPAT_DATA_BRANCH=${PR_BRANCH}" >> "${GITHUB_ENV}"
- name: Get backward compat branch
id: backward_compat_branch
run: |
BRANCH="$(make backward_compat_branch)"
echo "branch=${BRANCH}" >> "${GITHUB_OUTPUT}"
- name: Clone test data
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
repository: zama-ai/tfhe-backward-compat-data
path: tfhe/tfhe-backward-compat-data
lfs: 'true'
ref: ${{ steps.backward_compat_branch.outputs.branch }}
- name: Run backward compatibility tests
run: |
make test_backward_compatibility_ci
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Backward compatibility tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (backward-compat-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, backward-compat-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (backward-compat-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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@@ -1,4 +1,4 @@
# Run a small subset of tests to ensure quick feedback.
# Run a small subset of shortint and integer tests to ensure quick feedback.
name: Fast AWS Tests on CPU
env:
@@ -11,7 +11,6 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
@@ -19,192 +18,85 @@ on:
pull_request:
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
csprng_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.csprng_any_changed }}
zk_pok_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.zk_pok_any_changed }}
core_crypto_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.core_crypto_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
boolean_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.boolean_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
shortint_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.shortint_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
integer_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.integer_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
wasm_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.wasm_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
high_level_api_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.high_level_api_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
user_docs_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.user_docs_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
any_file_changed: ${{ env.IS_PULL_REQUEST == 'false' || steps.aggregated-changes.outputs.any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
dependencies:
- tfhe/Cargo.toml
- concrete-csprng/**
- tfhe-zk-pok/**
csprng:
- concrete-csprng/**
zk_pok:
- tfhe-zk-pok/**
core_crypto:
- tfhe/src/core_crypto/**
boolean:
- tfhe/src/core_crypto/**
- tfhe/src/boolean/**
shortint:
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
integer:
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
- tfhe/src/integer/**
wasm:
- tfhe/src/**
- tfhe/js_on_wasm_tests/**
- tfhe/web_wasm_parallel_tests/**
- '!tfhe/src/c_api/**'
- '!tfhe/src/boolean/**'
high_level_api:
- tfhe/src/**
- '!tfhe/src/c_api/**'
- '!tfhe/src/boolean/**'
- '!tfhe/src/c_api/**'
- '!tfhe/src/js_on_wasm_api/**'
user_docs:
- tfhe/src/**
- '!tfhe/src/c_api/**'
- 'tfhe/docs/**.md'
- README.md
- name: Aggregate file changes
id: aggregated-changes
if: ( steps.changed-files.outputs.dependencies_any_changed == 'true' ||
steps.changed-files.outputs.csprng_any_changed == 'true' ||
steps.changed-files.outputs.zk_pok_any_changed == 'true' ||
steps.changed-files.outputs.core_crypto_any_changed == 'true' ||
steps.changed-files.outputs.boolean_any_changed == 'true' ||
steps.changed-files.outputs.shortint_any_changed == 'true' ||
steps.changed-files.outputs.integer_any_changed == 'true' ||
steps.changed-files.outputs.wasm_any_changed == 'true' ||
steps.changed-files.outputs.high_level_api_any_changed == 'true' ||
steps.changed-files.outputs.user_docs_any_changed == 'true')
run: |
echo "any_changed=true" >> "$GITHUB_OUTPUT"
setup-instance:
name: Setup instance (fast-tests)
if: github.event_name != 'pull_request' ||
needs.should-run.outputs.any_file_changed == 'true'
needs: should-run
setup-ec2:
name: Setup EC2 instance (fast-tests)
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
instance-id: ${{ steps.start-instance.outputs.ec2-instance-id }}
aws-region: ${{ steps.start-instance.outputs.aws-region }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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
fast-tests:
name: Fast CPU tests
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
needs: [ should-run, setup-instance ]
needs: setup-ec2
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
runs-on: ${{ needs.setup-ec2.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: stable
- name: Run concrete-csprng tests
if: needs.should-run.outputs.csprng_test == 'true'
run: |
make test_concrete_csprng
- name: Run tfhe-zk-pok tests
if: needs.should-run.outputs.zk_pok_test == 'true'
run: |
make test_zk_pok
- name: Run core tests
if: needs.should-run.outputs.core_crypto_test == 'true'
run: |
AVX512_SUPPORT=ON make test_core_crypto
- name: Run boolean tests
if: needs.should-run.outputs.boolean_test == 'true'
run: |
make test_boolean
- name: Run user docs tests
if: needs.should-run.outputs.user_docs_test == 'true'
run: |
make test_user_doc
- name: Run js on wasm API tests
if: needs.should-run.outputs.wasm_test == 'true'
run: |
make test_nodejs_wasm_api_in_docker
- name: Gen Keys if required
if: needs.should-run.outputs.shortint_test == 'true' ||
needs.should-run.outputs.integer_test == 'true'
run: |
make gen_key_cache
- name: Run shortint tests
if: needs.should-run.outputs.shortint_test == 'true'
run: |
BIG_TESTS_INSTANCE=TRUE FAST_TESTS=TRUE make test_shortint_ci
- name: Run integer tests
if: needs.should-run.outputs.integer_test == 'true'
run: |
BIG_TESTS_INSTANCE=TRUE FAST_TESTS=TRUE make test_integer_ci
- name: Run shortint multi-bit tests
run: |
BIG_TESTS_INSTANCE=TRUE FAST_TESTS=TRUE make test_shortint_multi_bit_ci
- name: Run integer multi-bit tests
run: |
BIG_TESTS_INSTANCE=TRUE FAST_TESTS=TRUE make test_integer_multi_bit_ci
- name: Run high-level API tests
if: needs.should-run.outputs.high_level_api_test == 'true'
run: |
make test_high_level_api
@@ -215,31 +107,32 @@ jobs:
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Fast AWS tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (fast-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, fast-tests ]
teardown-ec2:
name: Teardown EC2 instance (fast-tests)
if: ${{ always() && needs.setup-ec2.result != 'skipped' }}
needs: [ setup-ec2, fast-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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 }}
region: ${{ needs.setup-ec2.outputs.aws-region }}
label: ${{ needs.setup-ec2.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (fast-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "EC2 teardown (fast-tests) failed. (${{ env.ACTION_RUN_URL }})"

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@@ -16,17 +16,12 @@ on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
schedule:
# Nightly tests @ 1AM after each work day
- cron: "0 1 * * MON-FRI"
types: [labeled]
jobs:
cuda-tests-linux:
name: CUDA tests (RTX 4090)
if: github.event_name == 'workflow_dispatch' ||
contains(github.event.label.name, '4090_test') ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
if: ${{ github.event_name == 'workflow_dispatch' || contains(github.event.label.name, '4090_test') }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
@@ -34,12 +29,10 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: stable
@@ -68,7 +61,7 @@ jobs:
make test_high_level_api_gpu
- uses: actions-ecosystem/action-remove-labels@2ce5d41b4b6aa8503e285553f75ed56e0a40bae0
if: ${{ always() && github.event_name == 'pull_request' }}
if: ${{ github.event_name == 'pull_request' }}
with:
labels: 4090_test
github_token: ${{ secrets.GITHUB_TOKEN }}
@@ -76,7 +69,7 @@ jobs:
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CUDA RTX 4090 tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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@@ -1,5 +1,5 @@
# Perfom tfhe-cuda-backend post-commit checks on an AWS instance
name: TFHE Cuda Backend - Post-commit Checks
# Compile and test tfhe-cuda-backend on an AWS instance
name: TFHE Cuda Backend - Full tests
env:
CARGO_TERM_COLOR: always
@@ -13,33 +13,36 @@ env:
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
jobs:
setup-instance:
name: Setup instance (cuda-pcc)
setup-ec2:
name: Setup EC2 instance (cuda-tests)
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
instance-id: ${{ steps.start-instance.outputs.ec2-instance-id }}
aws-region: ${{ steps.start-instance.outputs.aws-region }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: gpu-build
profile: gpu-test
cuda-pcc:
name: CUDA post-commit checks
needs: setup-instance
cuda-tests-linux:
name: CUDA tests
needs: setup-ec2
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-ec2.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
@@ -53,16 +56,14 @@ jobs:
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: stable
@@ -93,34 +94,51 @@ jobs:
run: |
make pcc_gpu
- name: Run core crypto, integer and internal CUDA backend tests
run: |
make test_gpu
- name: Run user docs tests
run: |
make test_user_doc_gpu
- name: Test C API
run: |
make test_c_api_gpu
- name: Run High Level API Tests
run: |
make test_high_level_api_gpu
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CUDA AWS post-commit checks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "CUDA AWS tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-pcc)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-pcc ]
teardown-ec2:
name: Teardown EC2 instance (cuda-tests)
if: ${{ always() && needs.setup-ec2.result != 'skipped' }}
needs: [ setup-ec2, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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 }}
region: ${{ needs.setup-ec2.outputs.aws-region }}
label: ${{ needs.setup-ec2.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-pcc) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "EC2 teardown (cuda-tests) failed. (${{ env.ACTION_RUN_URL }})"

View File

@@ -10,72 +10,53 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
# We clear the cache to reduce memory pressure because of the numerous processes of cargo
# nextest
TFHE_RS_CLEAR_IN_MEMORY_KEY_CACHE: "1"
NO_BIG_PARAMS: FALSE
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
push:
branches:
- main
schedule:
# Nightly tests @ 3AM after each work day
- cron: "0 3 * * MON-FRI"
jobs:
setup-instance:
name: Setup instance (unsigned-integer-tests)
if: (github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'pull_request' && contains(github.event.label.name, 'approved')) ||
github.event_name == 'workflow_dispatch'
setup-ec2:
name: Setup EC2 instance (unsigned-integer-tests)
if: ${{ github.event_name == 'workflow_dispatch' || contains(github.event.label.name, 'approved') }}
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
instance-id: ${{ steps.start-instance.outputs.ec2-instance-id }}
aws-region: ${{ steps.start-instance.outputs.aws-region }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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
unsigned-integer-tests:
name: Unsigned integer tests
needs: setup-instance
needs: setup-ec2
concurrency:
group: ${{ github.workflow }}_${{ 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 }}
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-ec2.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: stable
- name: Should skip big parameters set
if: github.event_name == 'pull_request'
run: |
echo "NO_BIG_PARAMS=TRUE" >> "${GITHUB_ENV}"
- name: Gen Keys if required
run: |
make GEN_KEY_CACHE_MULTI_BIT_ONLY=TRUE gen_key_cache
@@ -90,36 +71,37 @@ jobs:
- name: Run unsigned integer tests
run: |
AVX512_SUPPORT=ON NO_BIG_PARAMS=${{ env.NO_BIG_PARAMS }} BIG_TESTS_INSTANCE=TRUE make test_unsigned_integer_ci
AVX512_SUPPORT=ON BIG_TESTS_INSTANCE=TRUE make test_unsigned_integer_ci
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Unsigned Integer tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (unsigned-integer-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, unsigned-integer-tests ]
teardown-ec2:
name: Teardown EC2 instance (unsigned-integer-tests)
if: ${{ always() && needs.setup-ec2.result != 'skipped' }}
needs: [ setup-ec2, unsigned-integer-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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 }}
region: ${{ needs.setup-ec2.outputs.aws-region }}
label: ${{ needs.setup-ec2.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (unsigned-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "EC2 teardown (unsigned-integer-tests) failed. (${{ env.ACTION_RUN_URL }})"

View File

@@ -10,72 +10,53 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
# We clear the cache to reduce memory pressure because of the numerous processes of cargo
# nextest
TFHE_RS_CLEAR_IN_MEMORY_KEY_CACHE: "1"
NO_BIG_PARAMS: FALSE
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
push:
branches:
- main
schedule:
# Nightly tests @ 3AM after each work day
- cron: "0 3 * * MON-FRI"
jobs:
setup-instance:
name: Setup instance (signed-integer-tests)
if: (github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'pull_request' && contains(github.event.label.name, 'approved')) ||
github.event_name == 'workflow_dispatch'
setup-ec2:
name: Setup EC2 instance (signed-integer-tests)
if: ${{ github.event_name == 'workflow_dispatch' || contains(github.event.label.name, 'approved') }}
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
instance-id: ${{ steps.start-instance.outputs.ec2-instance-id }}
aws-region: ${{ steps.start-instance.outputs.aws-region }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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
signed-integer-tests:
name: Signed integer tests
needs: setup-instance
needs: setup-ec2
concurrency:
group: ${{ github.workflow }}_${{ 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 }}
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-ec2.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: stable
- name: Should skip big parameters set
if: github.event_name == 'pull_request'
run: |
echo "NO_BIG_PARAMS=TRUE" >> "${GITHUB_ENV}"
- name: Gen Keys if required
run: |
make GEN_KEY_CACHE_MULTI_BIT_ONLY=TRUE gen_key_cache
@@ -94,36 +75,37 @@ jobs:
- name: Run signed integer tests
run: |
AVX512_SUPPORT=ON NO_BIG_PARAMS=${{ env.NO_BIG_PARAMS }} BIG_TESTS_INSTANCE=TRUE make test_signed_integer_ci
AVX512_SUPPORT=ON BIG_TESTS_INSTANCE=TRUE make test_signed_integer_ci
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Signed Integer tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (signed-integer-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, signed-integer-tests ]
teardown-ec2:
name: Teardown EC2 instance (signed-integer-tests)
if: ${{ always() && needs.setup-ec2.result != 'skipped' }}
needs: [ setup-ec2, signed-integer-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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 }}
region: ${{ needs.setup-ec2.outputs.aws-region }}
label: ${{ needs.setup-ec2.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (signed-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "EC2 teardown (signed-integer-tests) failed. (${{ env.ACTION_RUN_URL }})"

View File

@@ -10,213 +10,91 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
schedule:
# Nightly tests @ 1AM after each work day
- cron: "0 1 * * MON-FRI"
jobs:
should-run:
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
permissions:
pull-requests: write
outputs:
csprng_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.csprng_any_changed }}
zk_pok_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.zk_pok_any_changed }}
core_crypto_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.core_crypto_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
boolean_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.boolean_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
shortint_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.shortint_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
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 }}
c_api_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.c_api_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
examples_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.examples_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
apps_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.apps_any_changed || steps.changed-files.outputs.dependencies_any_changed }}
user_docs_test: ${{ env.IS_PULL_REQUEST == 'false' ||
steps.changed-files.outputs.user_docs_any_changed ||
steps.changed-files.outputs.dependencies_any_changed }}
any_file_changed: ${{ env.IS_PULL_REQUEST == 'false' || steps.aggregated-changes.outputs.any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
dependencies:
- tfhe/Cargo.toml
- concrete-csprng/**
- tfhe-zk-pok/**
csprng:
- concrete-csprng/**
zk_pok:
- tfhe-zk-pok/**
core_crypto:
- tfhe/src/core_crypto/**
boolean:
- tfhe/src/core_crypto/**
- tfhe/src/boolean/**
shortint:
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
high_level_api:
- tfhe/src/**
- '!tfhe/src/c_api/**'
- '!tfhe/src/boolean/**'
- '!tfhe/src/js_on_wasm_api/**'
c_api:
- tfhe/src/**
examples:
- tfhe/src/**
- '!tfhe/src/c_api/**'
- tfhe/examples/**
apps:
- tfhe/src/**
- '!tfhe/src/c_api/**'
- apps/trivium/src/**
user_docs:
- tfhe/src/**
- '!tfhe/src/c_api/**'
- 'tfhe/docs/**.md'
- README.md
- name: Aggregate file changes
id: aggregated-changes
if: ( steps.changed-files.outputs.dependencies_any_changed == 'true' ||
steps.changed-files.outputs.csprng_any_changed == 'true' ||
steps.changed-files.outputs.zk_pok_any_changed == 'true' ||
steps.changed-files.outputs.core_crypto_any_changed == 'true' ||
steps.changed-files.outputs.boolean_any_changed == 'true' ||
steps.changed-files.outputs.shortint_any_changed == 'true' ||
steps.changed-files.outputs.high_level_api_any_changed == 'true' ||
steps.changed-files.outputs.c_api_any_changed == 'true' ||
steps.changed-files.outputs.examples_any_changed == 'true' ||
steps.changed-files.outputs.apps_any_changed == 'true' ||
steps.changed-files.outputs.user_docs_any_changed == 'true')
run: |
echo "any_changed=true" >> "$GITHUB_OUTPUT"
setup-instance:
name: Setup instance (cpu-tests)
if: github.event_name != 'pull_request' ||
(github.event.action == 'labeled' && github.event.label.name == 'approved' && needs.should-run.outputs.any_file_changed == 'true')
needs: should-run
setup-ec2:
name: Setup EC2 instance (cpu-tests)
if: ${{ github.event_name == 'workflow_dispatch' || contains(github.event.label.name, 'approved') }}
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
instance-id: ${{ steps.start-instance.outputs.ec2-instance-id }}
aws-region: ${{ steps.start-instance.outputs.aws-region }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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: CPU tests
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
needs: [ should-run, setup-instance ]
needs: setup-ec2
concurrency:
group: ${{ github.workflow }}_${{github.event_name}}_${{ github.ref }}
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
runs-on: ${{ needs.setup-ec2.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: stable
- name: Run concrete-csprng tests
if: needs.should-run.outputs.csprng_test == 'true'
run: |
make test_concrete_csprng
- name: Run tfhe-zk-pok tests
if: needs.should-run.outputs.zk_pok_test == 'true'
run: |
make test_zk_pok
- name: Run core tests
if: needs.should-run.outputs.core_crypto_test == 'true'
run: |
AVX512_SUPPORT=ON make test_core_crypto
- name: Run boolean tests
if: needs.should-run.outputs.boolean_test == 'true'
run: |
make test_boolean
- name: Run C API tests
if: needs.should-run.outputs.c_api_test == 'true'
run: |
make test_c_api
- name: Run user docs tests
if: needs.should-run.outputs.user_docs_test == 'true'
run: |
make test_user_doc
- name: Gen Keys if required
if: needs.should-run.outputs.shortint_test == 'true'
run: |
make gen_key_cache
- name: Run shortint tests
if: needs.should-run.outputs.shortint_test == 'true'
run: |
BIG_TESTS_INSTANCE=TRUE make test_shortint_ci
- name: Run high-level API tests
if: needs.should-run.outputs.high_level_api_test == 'true'
run: |
BIG_TESTS_INSTANCE=TRUE make test_high_level_api
- name: Run example tests
if: needs.should-run.outputs.examples_test == 'true'
run: |
make test_examples
make dark_market
- name: Run apps tests
if: needs.should-run.outputs.apps_test == 'true'
run: |
make test_trivium
make test_kreyvium
@@ -224,31 +102,32 @@ jobs:
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "CPU 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 ]
teardown-ec2:
name: Teardown EC2 instance (cpu-tests)
if: ${{ always() && needs.setup-ec2.result != 'skipped' }}
needs: [ setup-ec2, cpu-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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 }}
region: ${{ needs.setup-ec2.outputs.aws-region }}
label: ${{ needs.setup-ec2.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cpu-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "EC2 teardown (cpu-tests) failed. (${{ env.ACTION_RUN_URL }})"

View File

@@ -18,90 +18,83 @@ on:
types: [ labeled ]
jobs:
setup-instance:
name: Setup instance (wasm-tests)
setup-ec2:
name: Setup EC2 instance (wasm-tests)
if: ${{ github.event_name == 'workflow_dispatch' || contains(github.event.label.name, 'approved') }}
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
instance-id: ${{ steps.start-instance.outputs.ec2-instance-id }}
aws-region: ${{ steps.start-instance.outputs.aws-region }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: cpu-small
wasm-tests:
name: WASM tests
needs: setup-instance
needs: setup-ec2
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
runs-on: ${{ needs.setup-ec2.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: stable
- name: Install Node
run: |
make install_node
- name: Run fmt checks
run: |
make check_fmt_js
- name: Run js on wasm API tests
run: |
make test_nodejs_wasm_api_in_docker
- name: Run parallel wasm tests
run: |
make test_web_js_api_parallel_ci
make install_node
make ci_test_web_js_api_parallel
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "WASM tests finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (wasm-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, wasm-tests ]
teardown-ec2:
name: Teardown EC2 instance (wasm-tests)
if: ${{ always() && needs.setup-ec2.result != 'skipped' }}
needs: [ setup-ec2, wasm-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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 }}
region: ${{ needs.setup-ec2.outputs.aws-region }}
label: ${{ needs.setup-ec2.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (wasm-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "EC2 teardown (wasm-tests) failed. (${{ env.ACTION_RUN_URL }})"

View File

@@ -3,9 +3,30 @@ name: Boolean benchmarks
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
# This input is not used in this workflow but still mandatory since a calling workflow could
# use it. If a triggering command include a user_inputs field, then the triggered workflow
# must include this very input, otherwise the workflow won't be called.
# See start_full_benchmarks.yml as example.
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
@@ -13,60 +34,36 @@ env:
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (boolean-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
boolean-benchmarks:
run-boolean-benchmarks:
name: Execute boolean benchmarks in EC2
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
continue-on-error: true
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
@@ -76,12 +73,14 @@ jobs:
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
@@ -98,17 +97,17 @@ jobs:
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_boolean
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
@@ -127,31 +126,11 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Boolean benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (boolean-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, boolean-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (boolean-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Boolean benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -19,11 +19,11 @@ jobs:
strategy:
matrix:
os: [large_ubuntu_16, macos-latest-large, large_windows_16_latest]
os: [ubuntu-latest, macos-latest-large, windows-latest]
fail-fast: false
steps:
- uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Install and run newline linter checks
if: matrix.os == 'ubuntu-latest'

View File

@@ -10,7 +10,7 @@ jobs:
- name: Check first line
uses: gsactions/commit-message-checker@16fa2d5de096ae0d35626443bcd24f1e756cafee
with:
pattern: '^((feat|fix|chore|refactor|style|test|docs|doc)(\([\w\-_]+\))?\!?\:) .+$'
pattern: '^((feat|fix|chore|refactor|style|test|docs|doc)(\(\w+\))?\:) .+$'
flags: "gs"
error: 'Your first line has to contain a commit type and scope like "feat(my_feature): msg".'
excludeDescription: "true" # optional: this excludes the description body of a pull request

View File

@@ -13,7 +13,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Get actionlint
run: |

View File

@@ -6,58 +6,70 @@ env:
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:
# Code coverage workflow is only run via workflow_dispatch event since execution duration is not stabilized yet.
# All the inputs are provided by Slab
inputs:
instance_id:
description: "AWS instance ID"
type: string
instance_image_id:
description: "AWS instance AMI ID"
type: string
instance_type:
description: "AWS instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: 'Slab request ID'
type: string
fork_repo:
description: 'Name of forked repo as user/repo'
type: string
fork_git_sha:
description: 'Git SHA to checkout from fork'
type: string
jobs:
setup-instance:
name: Setup instance (code-coverage)
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@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: cpu-small
code-coverage:
name: Code coverage tests
needs: setup-instance
concurrency:
group: ${{ github.workflow }}_${{ github.event_name }}_${{ github.ref }}
group: ${{ github.workflow }}_${{ github.ref }}_${{ inputs.instance_image_id }}_${{ inputs.instance_type }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 5760 # 4 days
runs-on: ${{ inputs.runner_name }}
timeout-minutes: 11520 # 8 days
steps:
# Step used for log purpose.
- name: Instance configuration used
run: |
echo "ID: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
echo "Fork repo: ${{ inputs.fork_repo }}"
echo "Fork git sha: ${{ inputs.fork_git_sha }}"
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: ${{ inputs.fork_repo }}
ref: ${{ inputs.fork_git_sha }}
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: stable
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
uses: tj-actions/changed-files@aa08304bd477b800d468db44fe10f6c61f7f7b11
with:
files_yaml: |
tfhe:
@@ -87,7 +99,7 @@ jobs:
make test_shortint_cov
- name: Upload tfhe coverage to Codecov
uses: codecov/codecov-action@e28ff129e5465c2c0dcc6f003fc735cb6ae0c673
uses: codecov/codecov-action@54bcd8715eee62d40e33596ef5e8f0f48dbbccab
if: steps.changed-files.outputs.tfhe_any_changed == 'true'
with:
token: ${{ secrets.CODECOV_TOKEN }}
@@ -101,7 +113,7 @@ jobs:
make test_integer_cov
- name: Upload tfhe coverage to Codecov
uses: codecov/codecov-action@e28ff129e5465c2c0dcc6f003fc735cb6ae0c673
uses: codecov/codecov-action@54bcd8715eee62d40e33596ef5e8f0f48dbbccab
if: steps.changed-files.outputs.tfhe_any_changed == 'true'
with:
token: ${{ secrets.CODECOV_TOKEN }}
@@ -112,31 +124,11 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Code coverage finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (code-coverage)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, code-coverage ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (code-coverage) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -3,6 +3,30 @@ name: Core crypto benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
# This input is not used in this workflow but still mandatory since a calling workflow could
# use it. If a triggering command include a user_inputs field, then the triggered workflow
# must include this very input, otherwise the workflow won't be called.
# See start_full_benchmarks.yml as example.
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
@@ -10,93 +34,71 @@ env:
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (core-crypto-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
core-crypto-benchmarks:
run-core-crypto-benchmarks:
name: Execute core crypto benchmarks in EC2
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make bench_pbs
make bench_pbs128
make bench_ks
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--name-suffix avx512 \
--walk-subdirs \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
@@ -115,31 +117,11 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "PBS benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (core-crypto-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, core-crypto-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (core-crypto-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "PBS benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -1,45 +1,43 @@
# Run core crypto benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
# Run core crypto benchmarks on an AWS instance with CUDA and return parsed results to Slab CI bot.
name: Core crypto GPU benchmarks
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
# This input is not used in this workflow but still mandatory since a calling workflow could
# use it. If a triggering command include a user_inputs field, then the triggered workflow
# must include this very input, otherwise the workflow won't be called.
# See start_full_benchmarks.yml as example.
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
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-core-crypto-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-core-crypto-benchmarks:
name: Execute GPU core crypto benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
run-core-crypto-benchmarks:
name: Execute GPU core crypto benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
@@ -47,43 +45,33 @@ jobs:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
- name: Instance configuration used
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
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
@@ -115,30 +103,32 @@ jobs:
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x1" \
--hardware ${{ inputs.instance_type }} \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--name-suffix avx512 \
--walk-subdirs \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
@@ -154,39 +144,14 @@ jobs:
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-core-crypto-benchmarks ]
runs-on: ubuntu-latest
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-core-crypto-benchmarks.result }}
SLACK_MESSAGE: "PBS GPU benchmarks finished with status: ${{ needs.cuda-core-crypto-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-integer-full-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-core-crypto-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-core-crypto-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "PBS GPU benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -17,44 +17,44 @@ on:
pull_request:
types: [ labeled ]
jobs:
setup-instance:
name: Setup instance (csprng-randomness-tests)
setup-ec2:
name: Setup EC2 instance (csprng-randomness-tests)
if: ${{ github.event_name == 'workflow_dispatch' || contains(github.event.label.name, 'approved') }}
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
instance-id: ${{ steps.start-instance.outputs.ec2-instance-id }}
aws-region: ${{ steps.start-instance.outputs.aws-region }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: cpu-small
csprng-randomness-tests:
name: CSPRNG randomness tests
needs: setup-instance
needs: setup-ec2
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: true
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
runs-on: ${{ needs.setup-ec2.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: stable
@@ -65,31 +65,32 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "concrete-csprng randomness check finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (csprng-randomness-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, csprng-randomness-tests ]
teardown-ec2:
name: Teardown EC2 instance (csprng-randomness-tests)
if: ${{ always() && needs.setup-ec2.result != 'skipped' }}
needs: [ setup-ec2, csprng-randomness-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
uses: zama-ai/slab-github-runner@8562abbdc96b3619bd5debe1fb934db298f9a044
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 }}
region: ${{ needs.setup-ec2.outputs.aws-region }}
label: ${{ needs.setup-ec2.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (csprng-randomness-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "EC2 teardown (csprng-randomness-tests) failed. (${{ env.ACTION_RUN_URL }})"

View File

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

@@ -1,5 +1,5 @@
# Run benchmarks on an RTX 4090 machine and return parsed results to Slab CI bot.
name: TFHE Cuda Backend - 4090 benchmarks
# Run all benchmarks on an RTX 4090 machine and return parsed results to Slab CI bot.
name: TFHE Cuda Backend - 4090 full benchmarks
env:
CARGO_TERM_COLOR: always
@@ -11,7 +11,6 @@ env:
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_BENCH: TRUE
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
@@ -24,22 +23,23 @@ on:
jobs:
cuda-integer-benchmarks:
name: Cuda integer benchmarks (RTX 4090)
if: ${{ github.event_name == 'workflow_dispatch' ||
github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs' ||
contains(github.event.label.name, '4090_bench') }}
name: Cuda integer benchmarks for all operations flavor (RTX 4090)
if: ${{ github.event_name == 'workflow_dispatch' || github.event_name == 'schedule' || contains(github.event.label.name, '4090_bench') }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}_cuda_integer_bench
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
cancel-in-progress: true
runs-on: ["self-hosted", "4090-desktop"]
timeout-minutes: 1440 # 24 hours
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer, integer_multi_bit]
op_flavor: [default, unchecked]
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
@@ -50,23 +50,22 @@ jobs:
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
echo "FAST_BENCH=TRUE" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Run integer benchmarks
run: |
make BENCH_OP_FLAVOR=default bench_integer_multi_bit_gpu
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
- name: Parse results
run: |
@@ -82,9 +81,9 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_integer_multi_bit_gpu_default
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
@@ -104,10 +103,10 @@ jobs:
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Integer RTX 4090 full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "Integer RTX 4090 full benchmarks failed. (${{ env.ACTION_RUN_URL }})"
cuda-core-crypto-benchmarks:
name: Cuda core crypto benchmarks (RTX 4090)
@@ -115,13 +114,13 @@ jobs:
needs: cuda-integer-benchmarks
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}_cuda_core_crypto_bench
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
cancel-in-progress: true
runs-on: ["self-hosted", "4090-desktop"]
timeout-minutes: 1440 # 24 hours
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
@@ -134,18 +133,18 @@ jobs:
} >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Run core crypto benchmarks
- name: Run integer benchmarks
run: |
make bench_pbs_gpu
make bench_ks_gpu
@@ -164,7 +163,7 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_core_crypto
path: ${{ env.RESULTS_FILENAME }}
@@ -186,16 +185,16 @@ jobs:
- name: Slack Notification
if: ${{ !success() && !cancelled() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Core crypto RTX 4090 full benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "Core crypto RTX 4090 full benchmarks failed. (${{ env.ACTION_RUN_URL }})"
remove_github_label:
name: Remove 4090 bench label
if: ${{ always() && github.event_name == 'pull_request' }}
if: ${{ github.event_name == 'pull_request' }}
needs: [cuda-integer-benchmarks, cuda-core-crypto-benchmarks]
runs-on: ubuntu-latest
runs-on: ["self-hosted", "4090-desktop"]
steps:
- uses: actions-ecosystem/action-remove-labels@2ce5d41b4b6aa8503e285553f75ed56e0a40bae0
with:

View File

@@ -1,199 +0,0 @@
# Compile and test tfhe-cuda-backend on an H100 VM on hyperstack
name: TFHE Cuda Backend - Fast tests on H100
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- Makefile
- '.github/workflows/gpu_fast_h100_tests.yml'
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-h100-tests)
needs: should-run
if: github.event_name != 'pull_request' ||
(github.event.action != 'labeled' && needs.should-run.outputs.gpu_test == 'true') ||
(github.event.action == 'labeled' && github.event.label.name == 'approved' && needs.should-run.outputs.gpu_test == 'true')
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-tests-linux:
name: CUDA H100 tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run core crypto and internal CUDA backend tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_core_crypto_gpu
BIG_TESTS_INSTANCE=TRUE make test_cuda_backend
- name: Run user docs tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_user_doc_gpu
- name: Test C API
run: |
BIG_TESTS_INSTANCE=TRUE make test_c_api_gpu
- name: Run High Level API Tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_high_level_api_gpu
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-h100-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-h100-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,197 +0,0 @@
# Compile and test tfhe-cuda-backend on an AWS instance
name: TFHE Cuda Backend - Fast tests
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
jobs:
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@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/gpu_fast_tests.yml'
- Makefile
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-tests)
needs: should-run
if: github.event_name != 'pull_request' ||
needs.should-run.outputs.gpu_test == 'true'
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
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 tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run core crypto and internal CUDA backend tests
run: |
make test_core_crypto_gpu
make test_cuda_backend
- name: Run user docs tests
run: |
make test_user_doc_gpu
- name: Test C API
run: |
make test_c_api_gpu
- name: Run High Level API Tests
run: |
make test_high_level_api_gpu
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-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@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,199 +0,0 @@
# Compile and test tfhe-cuda-backend on an AWS instance
name: TFHE Cuda Backend - Full tests multi-GPU
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- Makefile
- '.github/workflows/**_multi_gpu_tests.yml'
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-tests-multi-gpu)
needs: should-run
if: github.event_name != 'pull_request' ||
(github.event.action != 'labeled' && needs.should-run.outputs.gpu_test == 'true') ||
(github.event.action == 'labeled' && github.event.label.name == 'approved' && needs.should-run.outputs.gpu_test == 'true')
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: multi-gpu-test
cuda-tests-linux:
name: CUDA multi-GPU tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
# No need to test core_crypto and classic PBS in integer since it's already tested on single GPU.
- name: Run multi-bit CUDA integer tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_integer_multi_bit_gpu_ci
- name: Run user docs tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_user_doc_gpu
- name: Test C API
run: |
BIG_TESTS_INSTANCE=TRUE make test_c_api_gpu
- name: Run High Level API Tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_high_level_api_gpu
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-tests-multi-gpu)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-tests-multi-gpu) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,188 +0,0 @@
# Signed integer GPU tests on an H100 VM on hyperstack
name: TFHE Cuda Backend - Signed integer tests on H100
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- Makefile
- '.github/workflows/gpu_signed_integer_h100_tests.yml'
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-h100-tests)
needs: should-run
if: github.event_name != 'pull_request' ||
(github.event.action != 'labeled' && needs.should-run.outputs.gpu_test == 'true') ||
(github.event.action == 'labeled' && github.event.label.name == 'approved' && needs.should-run.outputs.gpu_test == 'true')
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-tests-linux:
name: CUDA H100 signed integer tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run signed integer tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_signed_integer_gpu_ci
- name: Run signed integer multi-bit tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_signed_integer_multi_bit_gpu_ci
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-h100-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-h100-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,202 +0,0 @@
# Compile and test tfhe-cuda-backend signed integer on an AWS instance
name: TFHE Cuda Backend - Signed integer tests
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_TESTS: TRUE
NIGHTLY_TESTS: FALSE
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types:
- opened
- synchronize
- labeled
schedule:
# Nightly tests @ 1AM after each work day
- cron: "0 1 * * MON-FRI"
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/gpu_signed_integer_tests.yml'
- Makefile
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-signed-integer-tests)
runs-on: ubuntu-latest
needs: should-run
if: (github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
github.event_name == 'workflow_dispatch' ||
(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@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: gpu-test
cuda-signed-integer-tests:
name: CUDA signed integer tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Should run nightly tests
if: github.event_name == 'schedule'
run: |
{
echo "FAST_TESTS=FALSE";
echo "NIGHTLY_TESTS=TRUE";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run signed integer multi-bit tests
run: |
make test_signed_integer_multi_bit_gpu_ci
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-signed-integer-tests ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-signed-integer-tests.result != 'skipped' }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-signed-integer-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-signed-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,188 +0,0 @@
# Test unsigned integers on an H100 VM on hyperstack
name: TFHE Cuda Backend - Unsigned integer tests on H100
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
IS_PULL_REQUEST: ${{ github.event_name == 'pull_request' }}
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types: [ labeled ]
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- Makefile
- '.github/workflows/gpu_unsigned_integer_tests.yml'
- scripts/**
- ci/**
setup-instance:
name: Setup instance (cuda-h100-tests)
needs: should-run
if: github.event_name != 'pull_request' ||
(github.event.action != 'labeled' && needs.should-run.outputs.gpu_test == 'true') ||
(github.event.action == 'labeled' && github.event.label.name == 'approved' && needs.should-run.outputs.gpu_test == 'true')
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-tests-linux:
name: CUDA H100 unsigned integer tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run unsigned integer tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_unsigned_integer_gpu_ci
- name: Run unsigned integer multi-bit tests
run: |
BIG_TESTS_INSTANCE=TRUE make test_unsigned_integer_multi_bit_gpu_ci
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-tests-linux.result != 'skipped' }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-h100-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-tests-linux ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-h100-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,199 +0,0 @@
# Compile and test tfhe-cuda-backend unsigned integer on an AWS instance
name: TFHE Cuda Backend - Unsigned integer tests
env:
CARGO_TERM_COLOR: always
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUSTFLAGS: "-C target-cpu=native"
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_TESTS: TRUE
NIGHTLY_TESTS: FALSE
on:
# Allows you to run this workflow manually from the Actions tab as an alternative.
workflow_dispatch:
pull_request:
types:
- opened
- synchronize
- labeled
schedule:
# Nightly tests @ 1AM after each work day
- cron: "0 1 * * MON-FRI"
jobs:
should-run:
runs-on: ubuntu-latest
permissions:
pull-requests: write
outputs:
gpu_test: ${{ env.IS_PULL_REQUEST == 'false' || steps.changed-files.outputs.gpu_any_changed }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
gpu:
- tfhe/Cargo.toml
- tfhe/build.rs
- backends/tfhe-cuda-backend/**
- tfhe/src/core_crypto/gpu/**
- tfhe/src/integer/gpu/**
- tfhe/shortint/parameters/**
- tfhe/src/high_level_api/**
- tfhe/src/c_api/**
- 'tfhe/docs/**.md'
- '.github/workflows/gpu_unsigned_integer_tests.yml'
- 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' ||
(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@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: gpu-test
cuda-unsigned-integer-tests:
name: CUDA unsigned integer tests
needs: [ should-run, setup-instance ]
if: github.event_name != 'pull_request' ||
(github.event_name == 'pull_request' && needs.setup-instance.result != 'skipped')
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
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"$(nproc)"
sudo make install
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "CUDA_PATH=$CUDA_PATH" >> "${GITHUB_ENV}"
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH" >> "${GITHUB_ENV}"
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc" >> "${GITHUB_ENV}"
# Specify the correct host compilers
- name: Export gcc and g++ variables
if: ${{ !cancelled() }}
run: |
{
echo "CC=/usr/bin/gcc-${{ matrix.gcc }}";
echo "CXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
echo "HOME=/home/ubuntu";
} >> "${GITHUB_ENV}"
- name: Should run nightly tests
if: github.event_name == 'schedule'
run: |
{
echo "FAST_TESTS=FALSE";
echo "NIGHTLY_TESTS=TRUE";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run unsigned integer multi-bit tests
run: |
make test_unsigned_integer_multi_bit_gpu_ci
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-unsigned-integer-tests ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-unsigned-integer-tests.result != 'skipped' }}
continue-on-error: true
steps:
- name: Send message
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 }})"
teardown-instance:
name: Teardown instance (cuda-tests)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-unsigned-integer-tests ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-unsigned-integer-tests) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

130
.github/workflows/integer_benchmark.yml vendored Normal file
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@@ -0,0 +1,130 @@
# Run integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Integer benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-integer-benchmarks:
name: Execute integer benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make FAST_BENCH=TRUE bench_integer
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Integer benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

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@@ -1,191 +0,0 @@
# Run all integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Integer benchmarks
on:
workflow_dispatch:
inputs:
all_precisions:
description: "Run all precisions"
type: boolean
default: false
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
# Quarterly benchmarks will be triggered right before end of quarter, the 25th of the current month at 4a.m.
# These benchmarks are far longer to execute hence the reason to run them only four time a year.
- cron: '0 4 25 MAR,JUN,SEP,DEC *'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_BENCH: TRUE
jobs:
prepare-matrix:
name: Prepare operations matrix
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
steps:
- name: Weekly benchmarks
if: github.event_name == 'workflow_dispatch' ||
github.event.schedule == '0 1 * * 6'
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
- name: Quarterly benchmarks
if: github.event.schedule == '0 4 25 MAR,JUN,SEP,DEC *'
run: |
echo "OP_FLAVOR=[\"default\", \"smart\", \"unchecked\", \"misc\"]" >> "${GITHUB_ENV}"
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
setup-instance:
name: Setup instance (integer-benchmarks)
needs: prepare-matrix
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
integer-benchmarks:
name: Execute integer benchmarks for all operations flavor
needs: [ prepare-matrix, setup-instance ]
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
continue-on-error: true
timeout-minutes: 1440 # 24 hours
strategy:
max-parallel: 1
matrix:
command: [ integer, integer_multi_bit]
op_flavor: ${{ fromJson(needs.prepare-matrix.outputs.op_flavor) }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${GITHUB_ENV}"
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
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 }})"
teardown-instance:
name: Teardown instance (integer-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, integer-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (integer-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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@@ -0,0 +1,158 @@
# Run all integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Integer full benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
prepare-matrix:
name: Prepare operations matrix
runs-on: ubuntu-latest
outputs:
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
steps:
- name: Weekly benchmarks
if: ${{ github.event.inputs.user_inputs == 'weekly_benchmarks' }}
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
- name: Quarterly benchmarks
if: ${{ github.event.inputs.user_inputs == 'quarterly_benchmarks' }}
run: |
echo "OP_FLAVOR=[\"default\", \"smart\", \"unchecked\", \"misc\"]" >> "${GITHUB_ENV}"
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
integer-benchmarks:
name: Execute integer benchmarks for all operations flavor
needs: prepare-matrix
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
continue-on-error: true
timeout-minutes: 1440 # 24 hours
strategy:
max-parallel: 1
matrix:
command: [ integer, integer_multi_bit]
op_flavor: ${{ fromJson(needs.prepare-matrix.outputs.op_flavor) }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notification:
name: Slack Notification
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ failure() }}
needs: integer-benchmarks
steps:
- name: Notify
continue-on-error: true
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Integer full benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -1,11 +1,24 @@
# Run integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
# Run integer benchmarks on an AWS instance with CUDA and return parsed results to Slab CI bot.
name: Integer GPU benchmarks
on:
workflow_dispatch:
push:
branches:
- main
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
@@ -14,35 +27,12 @@ env:
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-benchmarks)
runs-on: ubuntu-latest
if: github.event_name == 'workflow_dispatch' ||
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-integer-benchmarks:
name: Execute GPU integer benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
run-integer-benchmarks:
name: Execute integer benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
@@ -50,43 +40,33 @@ jobs:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
- name: Instance configuration used
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
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
@@ -110,10 +90,6 @@ jobs:
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make FAST_BENCH=TRUE BENCH_OP_FLAVOR=default bench_integer_gpu
@@ -124,37 +100,39 @@ jobs:
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x1" \
--hardware ${{ inputs.instance_type }} \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
@@ -170,39 +148,14 @@ jobs:
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-benchmarks ]
runs-on: ubuntu-latest
if: ${{ always() && needs.cuda-integer-benchmarks.result != 'skipped' && failure() }}
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@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Integer GPU benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -1,11 +1,32 @@
# Run all integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
# Run all integer benchmarks on an AWS 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'
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
# This input is not used in this workflow but still mandatory since a calling workflow could
# use it. If a triggering command include a user_inputs field, then the triggered workflow
# must include this very input, otherwise the workflow won't be called.
# See start_full_benchmarks.yml as example.
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
@@ -13,36 +34,13 @@ env:
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (cuda-integer-full-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-integer-full-benchmarks:
name: Execute GPU integer benchmarks for all operations flavor
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
integer-benchmarks:
name: Execute integer benchmarks for all operations flavor
runs-on: ${{ github.event.inputs.runner_name }}
timeout-minutes: 1440 # 24 hours
if: ${{ !cancelled() }}
continue-on-error: true
strategy:
fail-fast: false
@@ -54,25 +52,19 @@ jobs:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
- name: Instance configuration used
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
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
@@ -90,7 +82,7 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
@@ -115,15 +107,11 @@ jobs:
} >> "${GITHUB_ENV}"
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Run benchmarks with AVX512
run: |
@@ -133,7 +121,7 @@ jobs:
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x1" \
--hardware ${{ inputs.instance_type }} \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
@@ -144,7 +132,7 @@ jobs:
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
@@ -163,39 +151,19 @@ jobs:
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
slack-notification:
name: Slack Notification
needs: [ setup-instance, cuda-integer-full-benchmarks ]
runs-on: ubuntu-latest
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
needs: integer-benchmarks
steps:
- name: Send message
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-full-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU full benchmarks finished with status: ${{ needs.cuda-integer-full-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-integer-full-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-integer-full-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
- name: Notify
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-full-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Integer GPU full benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -0,0 +1,130 @@
# Run integer benchmarks with multi-bit cryptographic parameters on an AWS instance and return parsed results to Slab CI bot.
name: Integer Multi-bit benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-integer-benchmarks:
name: Execute integer multi-bit benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Run multi-bit benchmarks with AVX512
run: |
make FAST_BENCH=TRUE bench_integer_multi_bit
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Integer benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -1,21 +1,24 @@
# Run integer benchmarks with multi-bit cryptographic parameters on an instance and return parsed results to Slab CI bot.
# Run integer benchmarks with multi-bit cryptographic parameters on an AWS 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'
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
@@ -24,38 +27,13 @@ env:
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_BENCH: TRUE
BENCH_OP_FLAVOR: default
jobs:
setup-instance:
name: Setup instance (cuda-integer-multi-bit-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: single-h100
cuda-integer-multi-bit-benchmarks:
name: Execute GPU integer multi-bit benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
cuda-integer-benchmarks:
name: Execute integer multi-bit benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
timeout-minutes: 1440 # 24 hours
if: ${{ !cancelled() }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
@@ -63,43 +41,33 @@ jobs:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
- name: Instance configuration used
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
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
@@ -123,23 +91,9 @@ jobs:
echo "CUDAHOSTCXX=/usr/bin/g++-${{ matrix.gcc }}";
} >> "${GITHUB_ENV}"
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${GITHUB_ENV}"
- name: Should run fast subset benchmarks
if: inputs.fast_default
run: |
echo "BENCH_OP_FLAVOR=fast_default" >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run multi-bit benchmarks with AVX512
run: |
make bench_unsigned_integer_multi_bit_gpu
make FAST_BENCH=TRUE BENCH_OP_FLAVOR=default bench_integer_multi_bit_gpu
- name: Parse benchmarks to csv
run: |
@@ -147,37 +101,39 @@ jobs:
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x1" \
--hardware ${{ inputs.instance_type }} \
--backend gpu \
--project-version "${{ env.COMMIT_HASH }}" \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
@@ -193,40 +149,14 @@ jobs:
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-multi-bit-benchmarks ]
runs-on: ubuntu-latest
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-multi-bit-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU multi-bit benchmarks finished with status: ${{ needs.cuda-integer-multi-bit-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-integer-full-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-integer-multi-bit-benchmarks, slack-notify ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
if: ${{ !success() && !cancelled() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-multi-bit-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Integer GPU benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -1,221 +0,0 @@
# Run 64-bit multi-bit integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Integer multi GPU Multi-bit benchmarks
on:
workflow_dispatch:
inputs:
all_precisions:
description: "Run all precisions"
type: boolean
default: false
fast_default:
description: "Run only deduplicated default operations without scalar variants"
type: boolean
default: false
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_BENCH: TRUE
BENCH_OP_FLAVOR: default
jobs:
setup-instance:
name: Setup instance (cuda-integer-multi-bit-multi-gpu-benchmarks)
runs-on: ubuntu-latest
if: ${{ (github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
github.event_name == 'workflow_dispatch' }}
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: multi-h100
cuda-integer-multi-bit-multi-gpu-benchmarks:
name: Execute multi GPU integer multi-bit benchmarks
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@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@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${GITHUB_ENV}"
- name: Should run fast subset benchmarks
if: inputs.fast_default
run: |
echo "BENCH_OP_FLAVOR=fast_default" >> "${GITHUB_ENV}"
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run multi-bit benchmarks with AVX512
run: |
make bench_unsigned_integer_multi_bit_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x8" \
--backend gpu \
--project-version "${{ 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@834a144ee995460fba8ed112a2fc961b36a5ec5a
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-multi-bit-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-multi-bit-multi-gpu-benchmarks.result }}
SLACK_MESSAGE: "Integer multi GPU multi-bit benchmarks finished with status: ${{ needs.cuda-integer-multi-bit-multi-gpu-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-integer-multi-bit-multi-gpu-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-integer-multi-bit-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-multi-bit-multi-gpu-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,201 +0,0 @@
# Run all integer benchmarks on an instance with CUDA and return parsed results to Slab CI bot.
name: Integer multi GPU full benchmarks
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
setup-instance:
name: Setup instance (cuda-integer-full-multi-gpu-benchmarks)
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: multi-h100
cuda-integer-full-multi-gpu-benchmarks:
name: Execute multi GPU integer benchmarks for all operations flavor
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
timeout-minutes: 1440 # 24 hours
continue-on-error: true
strategy:
fail-fast: false
max-parallel: 1
matrix:
command: [integer, integer_multi_bit]
op_flavor: [default, unchecked]
# explicit include-based build matrix, of known valid options
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 11
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
CMAKE_VERSION: 3.29.6
steps:
# Mandatory on hyperstack since a bootable volume is not re-usable yet.
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y checkinstall zlib1g-dev libssl-dev
wget https://github.com/Kitware/CMake/releases/download/v${{ env.CMAKE_VERSION }}/cmake-${{ env.CMAKE_VERSION }}.tar.gz
tar -zxvf cmake-${{ env.CMAKE_VERSION }}.tar.gz
cd cmake-${{ env.CMAKE_VERSION }}
./bootstrap
make -j"$(nproc)"
sudo make install
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@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@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Check device is detected
if: ${{ !cancelled() }}
run: nvidia-smi
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_${{ matrix.command }}_gpu
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "n3-H100x8" \
--backend gpu \
--project-version "${{ 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@834a144ee995460fba8ed112a2fc961b36a5ec5a
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notify:
name: Slack Notification
needs: [ setup-instance, cuda-integer-full-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
if: ${{ !success() && !cancelled() }}
continue-on-error: true
steps:
- name: Send message
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ needs.cuda-integer-full-multi-gpu-benchmarks.result }}
SLACK_MESSAGE: "Integer GPU full benchmarks finished with status: ${{ needs.cuda-integer-full-multi-gpu-benchmarks.result }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (cuda-integer-full-multi-gpu-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, cuda-integer-full-multi-gpu-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (cuda-integer-full-multi-gpu-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -3,7 +3,7 @@ name: Tests on M1 CPU
on:
workflow_dispatch:
pull_request:
types: [ labeled ]
types: [labeled]
# Have a nightly build for M1 tests
schedule:
# * is a special character in YAML so you have to quote this string
@@ -18,9 +18,6 @@ env:
RUST_MIN_STACK: "8388608"
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
FAST_TESTS: "TRUE"
# We clear the cache to reduce memory pressure because of the numerous processes of cargo
# nextest
TFHE_RS_CLEAR_IN_MEMORY_KEY_CACHE: "1"
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref }}
@@ -34,12 +31,10 @@ jobs:
timeout-minutes: 720
steps:
- uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
persist-credentials: 'false'
- uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: stable
@@ -79,10 +74,6 @@ jobs:
run: |
make test_concrete_csprng
- name: Run tfhe-zk-pok tests
run: |
make test_zk_pok
- name: Run core tests
run: |
make test_core_crypto
@@ -91,13 +82,6 @@ jobs:
run: |
make test_boolean
# Because we do "illegal" things with the build system which Cargo does not seem to like much
# we need to clear the cache to make sure the C API is built properly and does not use a stale
# cached version
- name: Clear build cache
run: |
cargo clean
- name: Run C API tests
run: |
make test_c_api
@@ -149,7 +133,7 @@ jobs:
- name: Slack Notification
if: ${{ needs.cargo-builds.result != 'skipped' }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ needs.cargo-builds.result }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}

View File

@@ -20,72 +20,20 @@ on:
description: "Push node js package"
type: boolean
default: true
npm_latest_tag:
description: "Set NPM tag as latest"
type: boolean
default: false
env:
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
NPM_TAG: ""
jobs:
package:
runs-on: ubuntu-latest
outputs:
hash: ${{ steps.hash.outputs.hash }}
steps:
- name: Checkout
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Prepare package
run: |
cargo package -p tfhe
- uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a # v4.3.6
with:
name: crate
path: target/package/*.crate
- name: generate hash
id: hash
run: cd target/package && echo "hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance:
if: ${{ !inputs.dry_run }}
needs: [package]
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v2.0.0
permissions:
# Needed to detect the GitHub Actions environment
actions: read
# Needed to create the provenance via GitHub OIDC
id-token: write
# Needed to upload assets/artifacts
contents: write
with:
# SHA-256 hashes of the Crate package.
base64-subjects: ${{ needs.package.outputs.hash }}
publish_release:
name: Publish Release
needs: [package] # for comparing hashes
runs-on: ubuntu-latest
permissions:
contents: read
id-token: write
steps:
- name: Checkout
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Create NPM version tag
if: ${{ inputs.npm_latest_tag }}
run: |
echo "NPM_TAG=latest" >> "${GITHUB_ENV}"
- name: Download artifact
uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
with:
name: crate
path: target/package
- name: Publish crate.io package
if: ${{ inputs.push_to_crates }}
env:
@@ -94,36 +42,18 @@ jobs:
run: |
cargo publish -p tfhe --token ${{ env.CRATES_TOKEN }} ${{ env.DRY_RUN }}
- name: Generate hash
id: published_hash
run: cd target/package && echo "pub_hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
- name: Slack notification (hashes comparison)
if: ${{ needs.package.outputs.hash != steps.published_hash.outputs.pub_hash }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: failure
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "SLSA tfhe crate - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
- name: Build web package
if: ${{ inputs.push_web_package }}
run: |
make build_web_js_api_parallel
make build_web_js_api
- name: Publish web package
if: ${{ inputs.push_web_package }}
uses: JS-DevTools/npm-publish@19c28f1ef146469e409470805ea4279d47c3d35c
uses: JS-DevTools/npm-publish@4b07b26a2f6e0a51846e1870223e545bae91c552
with:
token: ${{ secrets.NPM_TOKEN }}
package: tfhe/pkg/package.json
dry-run: ${{ inputs.dry_run }}
tag: ${{ env.NPM_TAG }}
provenance: true
- name: Build Node package
if: ${{ inputs.push_node_package }}
@@ -135,18 +65,16 @@ jobs:
- name: Publish Node package
if: ${{ inputs.push_node_package }}
uses: JS-DevTools/npm-publish@19c28f1ef146469e409470805ea4279d47c3d35c
uses: JS-DevTools/npm-publish@4b07b26a2f6e0a51846e1870223e545bae91c552
with:
token: ${{ secrets.NPM_TOKEN }}
package: tfhe/pkg/package.json
dry-run: ${{ inputs.dry_run }}
tag: ${{ env.NPM_TAG }}
provenance: true
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}

View File

@@ -18,7 +18,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
@@ -32,7 +32,7 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}

View File

@@ -1,129 +0,0 @@
# Publish new release of tfhe-cuda-backend on crates.io.
name: Publish CUDA release
on:
workflow_dispatch:
inputs:
dry_run:
description: "Dry-run"
type: boolean
default: true
push_to_crates:
description: "Push to crate"
type: boolean
default: true
env:
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
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 (publish-cuda-release)
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@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: gpu-test
publish-cuda-release:
name: Publish CUDA Release
needs: setup-instance
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
strategy:
fail-fast: false
# explicit include-based build matrix, of known valid options
matrix:
include:
- os: ubuntu-22.04
cuda: "12.2"
gcc: 9
env:
CUDA_PATH: /usr/local/cuda-${{ matrix.cuda }}
steps:
- name: Checkout
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Set up home
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install latest stable
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: stable
- name: Export CUDA variables
if: ${{ !cancelled() }}
run: |
echo "$CUDA_PATH/bin" >> "${GITHUB_PATH}"
{
echo "CUDA_PATH=$CUDA_PATH";
echo "LD_LIBRARY_PATH=$CUDA_PATH/lib:$LD_LIBRARY_PATH";
echo "CUDACXX=/usr/local/cuda-${{ matrix.cuda }}/bin/nvcc";
} >> "${GITHUB_ENV}"
# 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: Publish crate.io package
if: ${{ inputs.push_to_crates }}
env:
CRATES_TOKEN: ${{ secrets.CARGO_REGISTRY_TOKEN }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
run: |
cargo publish -p tfhe-cuda-backend --token ${{ env.CRATES_TOKEN }} ${{ env.DRY_RUN }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
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 }})"
teardown-instance:
name: Teardown instance (publish-release)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, publish-cuda-release ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (publish-cuda-release) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,42 +0,0 @@
# Publish new release of tfhe-zk-pok on crates.io.
name: Publish tfhe-zk-pok 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:
publish_release:
name: Publish tfhe-zk-pok Release
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
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-zk-pok --token ${{ env.CRATES_TOKEN }} ${{ env.DRY_RUN }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "tfhe-zk-pok release failed: (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -14,17 +14,17 @@ on:
jobs:
params-curves-security-check:
runs-on: large_ubuntu_16
runs-on: ubuntu-latest
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
- name: Checkout lattice-estimator
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: malb/lattice-estimator
path: lattice_estimator
ref: 'e80ec6bbbba212428b0e92d0467c18629cf9ed67'
ref: '53508253629d3b5d31a2ad110e85dc69391ccb95'
- name: Install Sage
run: |
@@ -42,7 +42,7 @@ jobs:
- name: Slack Notification
if: ${{ always() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}

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

@@ -0,0 +1,128 @@
# Run shortint benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Shortint benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-shortint-benchmarks:
name: Execute shortint benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make bench_shortint
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Measure key sizes
run: |
make measure_shortint_key_sizes
- name: Parse key sizes results
run: |
python3 ./ci/benchmark_parser.py tfhe/shortint_key_sizes.csv ${{ env.RESULTS_FILENAME }} \
--key-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_shortint
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Shortint benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -1,193 +0,0 @@
# Run all shortint benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Shortint full benchmarks
on:
workflow_dispatch:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
# Quarterly benchmarks will be triggered right before end of quarter, the 25th of the current month at 4a.m.
# These benchmarks are far longer to execute hence the reason to run them only four time a year.
- cron: '0 4 25 MAR,JUN,SEP,DEC *'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
jobs:
prepare-matrix:
name: Prepare operations matrix
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
steps:
- name: Weekly benchmarks
if: github.event_name == 'workflow_dispatch' ||
github.event.schedule == '0 1 * * 6'
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
- name: Quarterly benchmarks
if: github.event.schedule == '0 4 25 MAR,JUN,SEP,DEC *'
run: |
echo "OP_FLAVOR=[\"default\", \"smart\", \"unchecked\"]" >> "${GITHUB_ENV}"
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
setup-instance:
name: Setup instance (shortint-benchmarks)
needs: prepare-matrix
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
shortint-benchmarks:
name: Execute shortint benchmarks for all operations flavor
needs: [ prepare-matrix, setup-instance ]
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
continue-on-error: true
strategy:
max-parallel: 1
matrix:
op_flavor: ${{ fromJson(needs.prepare-matrix.outputs.op_flavor) }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_shortint
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
# This small benchmark needs to be executed only once.
- name: Measure key sizes
if: matrix.op_flavor == 'default'
run: |
make measure_shortint_key_sizes
- name: Parse key sizes results
if: matrix.op_flavor == 'default'
run: |
python3 ./ci/benchmark_parser.py tfhe/shortint_key_sizes.csv ${{ env.RESULTS_FILENAME }} \
--key-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
with:
name: ${{ github.sha }}_shortint_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
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 }})"
teardown-instance:
name: Teardown instance (shortint-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, shortint-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (shortint-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -0,0 +1,152 @@
# Run all shortint benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Shortint full benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
# This input is not used in this workflow but still mandatory since a calling workflow could
# use it. If a triggering command include a user_inputs field, then the triggered workflow
# must include this very input, otherwise the workflow won't be called.
# See start_full_benchmarks.yml as example.
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
shortint-benchmarks:
name: Execute shortint benchmarks for all operations flavor
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
strategy:
max-parallel: 1
matrix:
op_flavor: [ default, smart, unchecked ]
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_shortint
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
# This small benchmark needs to be executed only once.
- name: Measure key sizes
if: matrix.op_flavor == 'default'
run: |
make measure_shortint_key_sizes
- name: Parse key sizes results
if: matrix.op_flavor == 'default'
run: |
python3 ./ci/benchmark_parser.py tfhe/shortint_key_sizes.csv ${{ env.RESULTS_FILENAME }} \
--key-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_shortint_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notification:
name: Slack Notification
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ failure() }}
needs: shortint-benchmarks
steps:
- name: Notify
continue-on-error: true
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Shortint full benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -0,0 +1,130 @@
# Run signed integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Signed Integer benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-integer-benchmarks:
name: Execute signed integer benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Run benchmarks with AVX512
run: |
make FAST_BENCH=TRUE bench_signed_integer
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Signed integer benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

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@@ -1,191 +0,0 @@
# Run all signed integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Signed Integer full benchmarks
on:
workflow_dispatch:
inputs:
all_precisions:
description: "Run all precisions"
type: boolean
default: false
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
# Quarterly benchmarks will be triggered right before end of quarter, the 25th of the current month at 4a.m.
# These benchmarks are far longer to execute hence the reason to run them only four time a year.
- cron: '0 4 25 MAR,JUN,SEP,DEC *'
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
FAST_BENCH: TRUE
jobs:
prepare-matrix:
name: Prepare operations matrix
runs-on: ubuntu-latest
if: github.event_name != 'schedule' ||
(github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs')
outputs:
op_flavor: ${{ steps.set_op_flavor.outputs.op_flavor }}
steps:
- name: Weekly benchmarks
if: github.event_name == 'workflow_dispatch' ||
github.event.schedule == '0 1 * * 6'
run: |
echo "OP_FLAVOR=[\"default\"]" >> "${GITHUB_ENV}"
- name: Quarterly benchmarks
if: github.event.schedule == '0 4 25 MAR,JUN,SEP,DEC *'
run: |
echo "OP_FLAVOR=[\"default\", \"unchecked\"]" >> "${GITHUB_ENV}"
- name: Set operation flavor output
id: set_op_flavor
run: |
echo "op_flavor=${{ toJSON(env.OP_FLAVOR) }}" >> "${GITHUB_OUTPUT}"
setup-instance:
name: Setup instance (signed-integer-benchmarks)
needs: prepare-matrix
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
signed-integer-benchmarks:
name: Execute signed integer benchmarks for all operations flavor
needs: [ prepare-matrix, setup-instance ]
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
concurrency:
group: ${{ github.workflow }}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
continue-on-error: true
timeout-minutes: 1440 # 24 hours
strategy:
max-parallel: 1
matrix:
command: [ integer, integer_multi_bit ]
op_flavor: [ default, unchecked ]
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Should run benchmarks with all precisions
if: inputs.all_precisions
run: |
echo "FAST_BENCH=FALSE" >> "${GITHUB_ENV}"
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_signed_${{ matrix.command }}
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
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 }})"
teardown-instance:
name: Teardown instance (integer-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, signed-integer-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (signed-integer-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

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@@ -0,0 +1,136 @@
# Run all signed integer benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: Signed Integer full benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
integer-benchmarks:
name: Execute signed integer benchmarks for all operations flavor
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
continue-on-error: true
timeout-minutes: 1440 # 24 hours
strategy:
max-parallel: 1
matrix:
command: [ integer, integer_multi_bit ]
op_flavor: [ default, unchecked ]
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Run benchmarks with AVX512
run: |
make BENCH_OP_FLAVOR=${{ matrix.op_flavor }} bench_signed_${{ matrix.command }}
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_${{ matrix.command }}_${{ matrix.op_flavor }}
path: ${{ env.RESULTS_FILENAME }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
slack-notification:
name: Slack Notification
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ failure() }}
needs: integer-benchmarks
steps:
- name: Notify
continue-on-error: true
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Signed integer full benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

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@@ -0,0 +1,130 @@
# Run signed integer benchmarks with multi-bit cryptographic parameters on an AWS instance and return parsed results to Slab CI bot.
name: Signed Integer Multi-bit benchmarks
on:
workflow_dispatch:
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
env:
CARGO_TERM_COLOR: always
RESULTS_FILENAME: parsed_benchmark_results_${{ github.sha }}.json
PARSE_INTEGER_BENCH_CSV_FILE: tfhe_rs_integer_benches_${{ github.sha }}.csv
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
jobs:
run-integer-benchmarks:
name: Execute signed integer multi-bit benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Instance configuration used
run: |
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Run multi-bit benchmarks with AVX512
run: |
make FAST_BENCH=TRUE bench_signed_integer_multi_bit
- name: Parse benchmarks to csv
run: |
make PARSE_INTEGER_BENCH_CSV_FILE=${{ env.PARSE_INTEGER_BENCH_CSV_FILE }} \
parse_integer_benches
- name: Upload csv results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_csv_integer
path: ${{ env.PARSE_INTEGER_BENCH_CSV_FILE }}
- name: Parse results
run: |
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Upload parsed results artifact
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_integer
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "Signed integer benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

135
.github/workflows/start_benchmarks.yml vendored Normal file
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@@ -0,0 +1,135 @@
# Start all benchmark jobs on Slab CI bot.
name: Start all benchmarks
on:
push:
branches:
- "main"
workflow_dispatch:
inputs:
# The input name must be the name of the slab command to launch
boolean_bench:
description: "Run Boolean benches"
type: boolean
default: true
shortint_bench:
description: "Run shortint benches"
type: boolean
default: true
integer_bench:
description: "Run integer benches"
type: boolean
default: true
signed_integer_bench:
description: "Run signed integer benches"
type: boolean
default: true
integer_multi_bit_bench:
description: "Run integer multi bit benches"
type: boolean
default: true
signed_integer_multi_bit_bench:
description: "Run signed integer multi bit benches"
type: boolean
default: true
core_crypto_bench:
description: "Run core crypto benches"
type: boolean
default: true
core_crypto_gpu_bench:
description: "Run core crypto benches on GPU"
type: boolean
default: true
wasm_client_bench:
description: "Run WASM client benches"
type: boolean
default: true
jobs:
start-benchmarks:
if: ${{ (github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs') || github.event_name == 'workflow_dispatch' }}
strategy:
matrix:
command: [ boolean_bench, shortint_bench,
integer_bench, integer_multi_bit_bench,
signed_integer_bench, signed_integer_multi_bit_bench,
integer_gpu_bench, integer_multi_bit_gpu_bench,
core_crypto_bench, core_crypto_gpu_bench, wasm_client_bench ]
runs-on: ubuntu-latest
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@aa08304bd477b800d468db44fe10f6c61f7f7b11
with:
files_yaml: |
common_benches:
- toolchain.txt
- Makefile
- ci/slab.toml
- tfhe/Cargo.toml
- tfhe/src/core_crypto/**
- .github/workflows/start_benchmarks.yml
boolean_bench:
- tfhe/src/boolean/**
- tfhe/benches/boolean/**
- .github/workflows/boolean_benchmark.yml
shortint_bench:
- tfhe/src/shortint/**
- tfhe/benches/shortint/**
- .github/workflows/shortint_benchmark.yml
integer_bench:
- tfhe/src/shortint/**
- tfhe/src/integer/**
- tfhe/benches/integer/bench.rs
- .github/workflows/integer_benchmark.yml
integer_multi_bit_bench:
- tfhe/src/shortint/**
- tfhe/src/integer/**
- tfhe/benches/integer/bench.rs
- .github/workflows/integer_multi_bit_benchmark.yml
signed_integer_bench:
- tfhe/src/shortint/**
- tfhe/src/integer/**
- tfhe/benches/integer/signed_bench.rs
- .github/workflows/signed_integer_benchmark.yml
signed_integer_multi_bit_bench:
- tfhe/src/shortint/**
- tfhe/src/integer/**
- tfhe/benches/integer/signed_bench.rs
- .github/workflows/signed_integer_multi_bit_benchmark.yml
core_crypto_bench:
- tfhe/src/core_crypto/**
- tfhe/benches/core_crypto/**
- .github/workflows/core_crypto_benchmark.yml
wasm_client_bench:
- tfhe/web_wasm_parallel_tests/**
- .github/workflows/wasm_client_benchmark.yml
- name: Checkout Slab repo
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Start AWS job in Slab
# If manually triggered check that the current bench has been requested
# Otherwise if it's on push check that files relevant to benchmarks have changed
if: (github.event_name == 'workflow_dispatch' && github.event.inputs[matrix.command] == 'true') || (github.event_name == 'push' && (steps.changed-files.outputs.common_benches_any_changed == 'true' || steps.changed-files.outputs[format('{0}_any_changed', matrix.command)] == 'true'))
shell: bash
run: |
echo -n '{"command": "${{ matrix.command }}", "git_ref": "${{ github.ref }}", "sha": "${{ github.sha }}"}' > command.json
SIGNATURE="$(slab/scripts/hmac_calculator.sh command.json '${{ secrets.JOB_SECRET }}')"
curl -v -k \
--fail-with-body \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: start_aws" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @command.json \
${{ secrets.SLAB_URL }}

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@@ -0,0 +1,66 @@
# Start all benchmark jobs, including full shortint and integer, on Slab CI bot.
name: Start full suite benchmarks
on:
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
# Quarterly benchmarks will be triggered right before end of quarter, the 25th of the current month at 4a.m.
# These benchmarks are far longer to execute hence the reason to run them only four time a year.
- cron: '0 4 25 MAR,JUN,SEP,DEC *'
workflow_dispatch:
inputs:
benchmark_type:
description: 'Benchmark type'
required: true
default: 'weekly'
type: choice
options:
- weekly
- quarterly
jobs:
start-benchmarks:
if: ${{ (github.event_name == 'schedule' && github.repository == 'zama-ai/tfhe-rs') || github.event_name == 'workflow_dispatch' }}
strategy:
matrix:
command: [ boolean_bench, shortint_full_bench,
integer_full_bench, signed_integer_full_bench, integer_gpu_full_bench,
core_crypto_bench, core_crypto_gpu_bench, wasm_client_bench ]
runs-on: ubuntu-latest
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Checkout Slab repo
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Set benchmarks type as weekly
if: (github.event_name == 'workflow_dispatch' && inputs.benchmark_type == 'weekly') || github.event.schedule == '0 1 * * 6'
run: |
echo "BENCH_TYPE=weekly_benchmarks" >> "${GITHUB_ENV}"
- name: Set benchmarks type as quarterly
if: (github.event_name == 'workflow_dispatch' && inputs.benchmark_type == 'quarterly') || github.event.schedule == '0 4 25 MAR,JUN,SEP,DEC *'
run: |
echo "BENCH_TYPE=quarterly_benchmarks" >> "${GITHUB_ENV}"
- name: Start AWS job in Slab
shell: bash
run: |
echo -n '{"command": "${{ matrix.command }}", "git_ref": "${{ github.ref }}", "sha": "${{ github.sha }}", "user_inputs": "${{ env.BENCH_TYPE }}"}' > command.json
SIGNATURE="$(slab/scripts/hmac_calculator.sh command.json '${{ secrets.JOB_SECRET }}')"
curl -v -k \
--fail-with-body \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: start_aws" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @command.json \
${{ secrets.SLAB_URL }}

View File

@@ -13,20 +13,25 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Save repo
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: repo-archive
path: '.'
- name: git-sync
uses: wei/git-sync@55c6b63b4f21607da0e9877ca9b4d11a29fc6d83
with:
source_repo: "zama-ai/tfhe-rs"
source_branch: "main"
destination_repo: "https://${{ secrets.BOT_USERNAME }}:${{ secrets.FHE_ACTIONS_TOKEN }}@github.com/${{ secrets.SYNC_DEST_REPO }}"
destination_repo: "https://${{ secrets.BOT_USERNAME }}:${{ secrets.CONCRETE_ACTIONS_TOKEN }}@github.com/${{ secrets.SYNC_DEST_REPO }}"
destination_branch: "main"
- name: git-sync tags
uses: wei/git-sync@55c6b63b4f21607da0e9877ca9b4d11a29fc6d83
with:
source_repo: "zama-ai/tfhe-rs"
source_branch: "refs/tags/*"
destination_repo: "https://${{ secrets.BOT_USERNAME }}:${{ secrets.FHE_ACTIONS_TOKEN }}@github.com/${{ secrets.SYNC_DEST_REPO }}"
destination_repo: "https://${{ secrets.BOT_USERNAME }}:${{ secrets.CONCRETE_ACTIONS_TOKEN }}@github.com/${{ secrets.SYNC_DEST_REPO }}"
destination_branch: "refs/tags/*"

View File

@@ -1,14 +1,32 @@
# Run WASM client benchmarks on an instance and return parsed results to Slab CI bot.
# Run WASM client benchmarks on an AWS instance and return parsed results to Slab CI bot.
name: WASM client benchmarks
on:
workflow_dispatch:
push:
branches:
- main
schedule:
# Weekly benchmarks will be triggered each Saturday at 1a.m.
- cron: '0 1 * * 6'
inputs:
instance_id:
description: "Instance ID"
type: string
instance_image_id:
description: "Instance AMI ID"
type: string
instance_type:
description: "Instance product type"
type: string
runner_name:
description: "Action runner name"
type: string
request_id:
description: "Slab request ID"
type: string
# This input is not used in this workflow but still mandatory since a calling workflow could
# use it. If a triggering command include a user_inputs field, then the triggered workflow
# must include this very input, otherwise the workflow won't be called.
# See start_full_benchmarks.yml as example.
user_inputs:
description: "Type of benchmarks to run"
type: string
default: "weekly_benchmarks"
env:
CARGO_TERM_COLOR: always
@@ -16,81 +34,28 @@ env:
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 == 'schedule' && github.repository == 'zama-ai/tfhe-rs') ||
(github.event_name == 'push' && github.repository == 'zama-ai/tfhe-rs')
permissions:
pull-requests: write
outputs:
wasm_bench: ${{ steps.changed-files.outputs.wasm_bench_any_changed }}
run-wasm-client-benchmarks:
name: Execute WASM client benchmarks in EC2
runs-on: ${{ github.event.inputs.runner_name }}
if: ${{ !cancelled() }}
steps:
- name: Checkout tfhe-rs
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
wasm_bench:
- tfhe/Cargo.toml
- concrete-csprng/**
- tfhe-zk-pok/**
- tfhe/src/**
- '!tfhe/src/c_api/**'
- tfhe/web_wasm_parallel_tests/**
- .github/workflows/wasm_client_benchmark.yml
setup-instance:
name: Setup instance (wasm-client-benchmarks)
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.wasm_bench)
needs: should-run
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}
steps:
- name: Start instance
id: start-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: cpu-small
wasm-client-benchmarks:
name: Execute WASM client benchmarks
needs: setup-instance
if: needs.setup-instance.result != 'skipped'
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
- name: Instance configuration used
run: |
{
echo "BENCH_DATE=$(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}"
echo "IDs: ${{ inputs.instance_id }}"
echo "AMI: ${{ inputs.instance_image_id }}"
echo "Type: ${{ inputs.instance_type }}"
echo "Request ID: ${{ inputs.request_id }}"
- name: Get benchmark date
run: |
echo "BENCH_DATE=$(date --iso-8601=seconds)" >> "${GITHUB_ENV}"
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
fetch-depth: 0
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
@@ -98,24 +63,27 @@ jobs:
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
uses: dtolnay/rust-toolchain@be73d7920c329f220ce78e0234b8f96b7ae60248
with:
toolchain: nightly
- name: Run benchmarks
run: |
make install_node
make bench_web_js_api_parallel_ci
make ci_bench_web_js_api_parallel
- name: Parse results
run: |
make parse_wasm_benchmarks
COMMIT_DATE="$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})"
COMMIT_HASH="$(git describe --tags --dirty)"
python3 ./ci/benchmark_parser.py tfhe/wasm_pk_gen.csv ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "m6i.4xlarge" \
--project-version "${{ env.COMMIT_HASH }}" \
--hardware ${{ inputs.instance_type }} \
--project-version "${COMMIT_HASH}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--commit-date "${COMMIT_DATE}" \
--bench-date "${{ env.BENCH_DATE }}" \
--key-gen
@@ -130,17 +98,17 @@ jobs:
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
uses: actions/upload-artifact@5d5d22a31266ced268874388b861e4b58bb5c2f3
with:
name: ${{ github.sha }}_wasm
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
token: ${{ secrets.CONCRETE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
@@ -159,31 +127,11 @@ jobs:
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
uses: rtCamp/action-slack-notify@b24d75fe0e728a4bf9fc42ee217caa686d141ee8
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "WASM benchmarks finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
teardown-instance:
name: Teardown instance (wasm-client-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, wasm-client-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (wasm-client-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_MESSAGE: "WASM benchmarks failed. (${{ env.ACTION_RUN_URL }})"
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}

View File

@@ -1,197 +0,0 @@
# Run PKE Zero-Knowledge benchmarks on an instance and return parsed results to Slab CI bot.
name: PKE ZK 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@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Check for file changes
id: changed-files
uses: tj-actions/changed-files@c65cd883420fd2eb864698a825fc4162dd94482c
with:
since_last_remote_commit: true
files_yaml: |
zk_pok:
- tfhe/Cargo.toml
- concrete-csprng/**
- tfhe-zk-pok/**
- tfhe/src/core_crypto/**
- tfhe/src/shortint/**
- tfhe/src/integer/**
- tfhe/src/zk.rs
- tfhe/benches/integer/zk_pke.rs
- .github/workflows/zk_pke_benchmark.yml
setup-instance:
name: Setup instance (pke-zk-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@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: start
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: aws
profile: bench
pke-zk-benchmarks:
name: Execute PKE ZK benchmarks
if: needs.setup-instance.result != 'skipped'
needs: setup-instance
concurrency:
group: ${{ github.workflow }}_${{github.event_name}}_${{ github.ref }}
cancel-in-progress: ${{ github.ref != 'refs/heads/main' }}
runs-on: ${{ needs.setup-instance.outputs.runner-name }}
steps:
- name: Checkout tfhe-rs repo with tags
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
fetch-depth: 0
- name: Get benchmark details
run: |
{
echo "BENCH_DATE=$(date --iso-8601=seconds)";
echo "COMMIT_DATE=$(git --no-pager show -s --format=%cd --date=iso8601-strict ${{ github.sha }})";
echo "COMMIT_HASH=$(git describe --tags --dirty)";
} >> "${GITHUB_ENV}"
- name: Set up home
# "Install rust" step require root user to have a HOME directory which is not set.
run: |
echo "HOME=/home/ubuntu" >> "${GITHUB_ENV}"
- name: Install rust
uses: dtolnay/rust-toolchain@7b1c307e0dcbda6122208f10795a713336a9b35a
with:
toolchain: nightly
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Run benchmarks with AVX512
run: |
make bench_integer_zk
- name: Parse results
run: |
python3 ./ci/benchmark_parser.py target/criterion ${{ env.RESULTS_FILENAME }} \
--database tfhe_rs \
--hardware "hpc7a.96xlarge" \
--backend cpu \
--project-version "${{ env.COMMIT_HASH }}" \
--branch ${{ github.ref_name }} \
--commit-date "${{ env.COMMIT_DATE }}" \
--bench-date "${{ env.BENCH_DATE }}" \
--walk-subdirs \
--name-suffix avx512 \
--throughput
- name: Parse CRS sizes results
run: |
python3 ./ci/benchmark_parser.py tfhe/pke_zk_crs_sizes.csv ${{ env.RESULTS_FILENAME }} \
--key-sizes \
--append-results
- name: Upload parsed results artifact
uses: actions/upload-artifact@834a144ee995460fba8ed112a2fc961b36a5ec5a
with:
name: ${{ github.sha }}_integer_zk
path: ${{ env.RESULTS_FILENAME }}
- name: Checkout Slab repo
uses: actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332
with:
repository: zama-ai/slab
path: slab
token: ${{ secrets.FHE_ACTIONS_TOKEN }}
- name: Send data to Slab
shell: bash
run: |
echo "Computing HMac on results file"
SIGNATURE="$(slab/scripts/hmac_calculator.sh ${{ env.RESULTS_FILENAME }} '${{ secrets.JOB_SECRET }}')"
echo "Sending results to Slab..."
curl -v -k \
-H "Content-Type: application/json" \
-H "X-Slab-Repository: ${{ github.repository }}" \
-H "X-Slab-Command: store_data_v2" \
-H "X-Hub-Signature-256: sha256=${SIGNATURE}" \
-d @${{ env.RESULTS_FILENAME }} \
${{ secrets.SLAB_URL }}
- name: Slack Notification
if: ${{ !success() && !cancelled() }}
continue-on-error: true
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 }})"
teardown-instance:
name: Teardown instance (pke-zk-benchmarks)
if: ${{ always() && needs.setup-instance.result != 'skipped' }}
needs: [ setup-instance, pke-zk-benchmarks ]
runs-on: ubuntu-latest
steps:
- name: Stop instance
id: stop-instance
uses: zama-ai/slab-github-runner@447a2d0fd2d1a9d647aa0d0723a6e9255372f261
with:
mode: stop
github-token: ${{ secrets.SLAB_ACTION_TOKEN }}
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
label: ${{ needs.setup-instance.outputs.runner-name }}
- name: Slack Notification
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@4e5fb42d249be6a45a298f3c9543b111b02f7907
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "Instance teardown (pke-zk-benchmarks) finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

7
.gitignore vendored
View File

@@ -7,7 +7,6 @@ target/
# In case of symlinked keys
/keys
**/*.rmeta
**/Cargo.lock
**/*.bin
@@ -23,9 +22,3 @@ dieharder_run.log
# Cuda local build
backends/tfhe-cuda-backend/cuda/cmake-build-debug/
# WASM tests
tfhe/web_wasm_parallel_tests/server.PID
# Dir used for backward compatibility test data
tfhe/tfhe-backward-compat-data/

View File

@@ -1,21 +1,6 @@
[workspace]
resolver = "2"
members = [
"tfhe",
"tfhe-zk-pok",
"tasks",
"apps/trivium",
"concrete-csprng",
"backends/tfhe-cuda-backend",
"utils/tfhe-versionable",
"utils/tfhe-versionable-derive",
]
exclude = [
"tfhe/backward_compatibility_tests",
"utils/cargo-tfhe-lints-inner",
"utils/cargo-tfhe-lints"
]
members = ["tfhe", "tasks", "apps/trivium", "concrete-csprng", "backends/tfhe-cuda-backend"]
[profile.bench]
lto = "fat"
@@ -32,4 +17,3 @@ lto = "off"
inherits = "dev"
opt-level = 3
lto = "off"
debug-assertions = false

328
Makefile
View File

@@ -3,7 +3,6 @@ OS:=$(shell uname)
RS_CHECK_TOOLCHAIN:=$(shell cat toolchain.txt | tr -d '\n')
CARGO_RS_CHECK_TOOLCHAIN:=+$(RS_CHECK_TOOLCHAIN)
TARGET_ARCH_FEATURE:=$(shell ./scripts/get_arch_feature.sh)
CPU_COUNT=$(shell ./scripts/cpu_count.sh)
RS_BUILD_TOOLCHAIN:=stable
CARGO_RS_BUILD_TOOLCHAIN:=+$(RS_BUILD_TOOLCHAIN)
CARGO_PROFILE?=release
@@ -16,15 +15,19 @@ GEN_KEY_CACHE_COVERAGE_ONLY?=FALSE
PARSE_INTEGER_BENCH_CSV_FILE?=tfhe_rs_integer_benches.csv
FAST_TESTS?=FALSE
FAST_BENCH?=FALSE
NIGHTLY_TESTS?=FALSE
BENCH_OP_FLAVOR?=DEFAULT
NODE_VERSION=22.4
NODE_VERSION=20
FORWARD_COMPAT?=OFF
BACKWARD_COMPAT_DATA_URL=https://github.com/zama-ai/tfhe-backward-compat-data.git
BACKWARD_COMPAT_DATA_BRANCH?=v0.1
BACKWARD_COMPAT_DATA_PROJECT=tfhe-backward-compat-data
BACKWARD_COMPAT_DATA_DIR=$(BACKWARD_COMPAT_DATA_PROJECT)
TFHE_SPEC:=tfhe
# sed: -n, do not print input stream, -e means a script/expression
# 1,/version/ indicates from the first line, to the line matching version at the start of the line
# p indicates to print, so we keep only the start of the Cargo.toml until we hit the first version
# entry which should be the version of tfhe
TFHE_CURRENT_VERSION:=\
$(shell sed -n -e '1,/^version/p' tfhe/Cargo.toml | \
grep '^version[[:space:]]*=' | cut -d '=' -f 2 | xargs)
# Cargo has a hard time distinguishing between our package from the workspace and a package that
# could be a dependency, so we build an unambiguous spec here
TFHE_SPEC:=tfhe@$(TFHE_CURRENT_VERSION)
# This is done to avoid forgetting it, we still precise the RUSTFLAGS in the commands to be able to
# copy paste the command in the terminal and change them if required without forgetting the flags
export RUSTFLAGS?=-C target-cpu=native
@@ -111,17 +114,12 @@ install_cargo_nextest: install_rs_build_toolchain
.PHONY: install_wasm_pack # Install wasm-pack to build JS packages
install_wasm_pack: install_rs_build_toolchain
@wasm-pack --version > /dev/null 2>&1 || \
cargo $(CARGO_RS_BUILD_TOOLCHAIN) install --locked wasm-pack@0.13.0 || \
cargo $(CARGO_RS_BUILD_TOOLCHAIN) install wasm-pack || \
( echo "Unable to install cargo wasm-pack, unknown error." && exit 1 )
.PHONY: install_node # Install last version of NodeJS via nvm
install_node:
curl -o nvm_install.sh https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.3/install.sh
@echo "2ed5e94ba12434370f0358800deb69f514e8bce90f13beb0e1b241d42c6abafd nvm_install.sh" > nvm_checksum
@sha256sum -c nvm_checksum
@rm nvm_checksum
$(SHELL) nvm_install.sh
@rm nvm_install.sh
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.3/install.sh | $(SHELL)
source ~/.bashrc
$(SHELL) -i -c 'nvm install $(NODE_VERSION)' || \
( echo "Unable to install node, unknown error." && exit 1 )
@@ -141,11 +139,6 @@ install_tarpaulin: install_rs_build_toolchain
cargo $(CARGO_RS_BUILD_TOOLCHAIN) install cargo-tarpaulin --locked || \
( echo "Unable to install cargo tarpaulin, unknown error." && exit 1 )
.PHONY: install_tfhe_lints # Install custom tfhe-rs lints
install_tfhe_lints:
(cd utils/cargo-tfhe-lints-inner && cargo install --path .) && \
cd utils/cargo-tfhe-lints && cargo install --path .
.PHONY: check_linelint_installed # Check if linelint newline linter is installed
check_linelint_installed:
@printf "\n" | linelint - > /dev/null 2>&1 || \
@@ -156,57 +149,24 @@ check_actionlint_installed:
@actionlint --version > /dev/null 2>&1 || \
( echo "Unable to locate actionlint. Try installing it: https://github.com/rhysd/actionlint/releases" && exit 1 )
.PHONY: check_nvm_installed # Check if Node Version Manager is installed
check_nvm_installed:
@source ~/.nvm/nvm.sh && nvm --version > /dev/null 2>&1 || \
( echo "Unable to locate Node. Run 'make install_node'" && exit 1 )
.PHONY: install_mlc # Install mlc (Markup Link Checker)
install_mlc: install_rs_build_toolchain
@mlc --version > /dev/null 2>&1 || \
cargo $(CARGO_RS_BUILD_TOOLCHAIN) install mlc --locked || \
( echo "Unable to install mlc, unknown error." && exit 1 )
.PHONY: fmt # Format rust code
fmt: install_rs_check_toolchain
cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" fmt
.PHONY: fmt_js # Format javascript code
fmt_js: check_nvm_installed
source ~/.nvm/nvm.sh && \
nvm install $(NODE_VERSION) && \
nvm use $(NODE_VERSION) && \
$(MAKE) -C tfhe/web_wasm_parallel_tests fmt
.PHONY: fmt_gpu # Format rust and cuda code
fmt_gpu: install_rs_check_toolchain
cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" fmt
cd "$(TFHECUDA_SRC)" && ./format_tfhe_cuda_backend.sh
.PHONY: fmt_c_tests # Format c tests
fmt_c_tests:
find tfhe/c_api_tests/ -regex '.*\.\(cpp\|hpp\|cu\|c\|h\)' -exec clang-format -style=file -i {} \;
.PHONY: check_fmt # Check rust code format
check_fmt: install_rs_check_toolchain
cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" fmt --check
.PHONY: check_fmt_c_tests # Check C tests format
check_fmt_c_tests:
find tfhe/c_api_tests/ -regex '.*\.\(cpp\|hpp\|cu\|c\|h\)' -exec clang-format --dry-run --Werror -style=file {} \;
.PHONY: check_fmt_gpu # Check rust and cuda code format
check_fmt_gpu: install_rs_check_toolchain
cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" fmt --check
cd "$(TFHECUDA_SRC)" && ./format_tfhe_cuda_backend.sh -c
.PHONY: check_fmt_js # Check javascript code format
check_fmt_js: check_nvm_installed
source ~/.nvm/nvm.sh && \
nvm install $(NODE_VERSION) && \
nvm use $(NODE_VERSION) && \
$(MAKE) -C tfhe/web_wasm_parallel_tests check_fmt
.PHONY: clippy_gpu # Run clippy lints on tfhe with "gpu" enabled
clippy_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
@@ -265,74 +225,53 @@ clippy: install_rs_check_toolchain
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer \
-p $(TFHE_SPEC) -- --no-deps -D warnings
.PHONY: clippy_rustdoc # Run clippy lints on doctests enabling the boolean, shortint, integer and zk-pok
clippy_rustdoc: install_rs_check_toolchain
if [[ "$(OS)" != "Linux" && "$(OS)" != "Darwin" ]]; then \
echo "WARNING: skipped clippy_rustdoc, unsupported OS $(OS)"; \
exit 0; \
fi && \
CLIPPYFLAGS="-D warnings" RUSTDOCFLAGS="--no-run --nocapture --test-builder ./scripts/clippy_driver.sh -Z unstable-options" \
cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" test --doc \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,zk-pok,pbs-stats \
-p $(TFHE_SPEC)
.PHONY: clippy_c_api # Run clippy lints enabling the boolean, shortint and the C API
clippy_c_api: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api,high-level-c-api \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api \
-p $(TFHE_SPEC) -- --no-deps -D warnings
.PHONY: clippy_js_wasm_api # Run clippy lints enabling the boolean, shortint, integer and the js wasm API
clippy_js_wasm_api: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
--features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api,high-level-client-js-wasm-api \
--features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api \
-p $(TFHE_SPEC) -- --no-deps -D warnings
.PHONY: clippy_tasks # Run clippy lints on helper tasks crate.
clippy_tasks: install_rs_check_toolchain
clippy_tasks:
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
-p tasks -- --no-deps -D warnings
.PHONY: clippy_trivium # Run clippy lints on Trivium app
clippy_trivium: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy \
-p tfhe-trivium -- --no-deps -D warnings
.PHONY: clippy_all_targets # Run clippy lints on all targets (benches, examples, etc.)
clippy_all_targets: install_rs_check_toolchain
clippy_all_targets:
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache,zk-pok \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache \
-p $(TFHE_SPEC) -- --no-deps -D warnings
.PHONY: clippy_concrete_csprng # Run clippy lints on concrete-csprng
clippy_concrete_csprng: install_rs_check_toolchain
clippy_concrete_csprng:
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
--features=$(TARGET_ARCH_FEATURE) \
-p concrete-csprng -- --no-deps -D warnings
.PHONY: clippy_zk_pok # Run clippy lints on tfhe-zk-pok
clippy_zk_pok: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
-p tfhe-zk-pok -- --no-deps -D warnings
.PHONY: clippy_all # Run all clippy targets
clippy_all: clippy_rustdoc clippy clippy_boolean clippy_shortint clippy_integer clippy_all_targets \
clippy_c_api clippy_js_wasm_api clippy_tasks clippy_core clippy_concrete_csprng clippy_zk_pok clippy_trivium
clippy_all: clippy clippy_boolean clippy_shortint clippy_integer clippy_all_targets clippy_c_api \
clippy_js_wasm_api clippy_tasks clippy_core clippy_concrete_csprng clippy_trivium
.PHONY: clippy_fast # Run main clippy targets
clippy_fast: clippy_rustdoc clippy clippy_all_targets clippy_c_api clippy_js_wasm_api clippy_tasks \
clippy_core clippy_concrete_csprng
clippy_fast: clippy clippy_all_targets clippy_c_api clippy_js_wasm_api clippy_tasks clippy_core \
clippy_concrete_csprng
.PHONY: clippy_cuda_backend # Run clippy lints on the tfhe-cuda-backend
clippy_cuda_backend: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" clippy --all-targets \
-p tfhe-cuda-backend -- --no-deps -D warnings
.PHONY: tfhe_lints # Run custom tfhe-rs lints
tfhe_lints: install_tfhe_lints
cd tfhe && RUSTFLAGS="$(RUSTFLAGS)" cargo tfhe-lints \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer -- -D warnings
.PHONY: build_core # Build core_crypto without experimental features
build_core: install_rs_build_toolchain install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
@@ -385,21 +324,21 @@ symlink_c_libs_without_fingerprint:
.PHONY: build_c_api # Build the C API for boolean, shortint and integer
build_c_api: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api,high-level-c-api,zk-pok,$(FORWARD_COMPAT_FEATURE) \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api,high-level-c-api,$(FORWARD_COMPAT_FEATURE) \
-p $(TFHE_SPEC)
@"$(MAKE)" symlink_c_libs_without_fingerprint
.PHONY: build_c_api_gpu # Build the C API for boolean, shortint and integer
build_c_api_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api,high-level-c-api,zk-pok,gpu \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api,high-level-c-api,gpu \
-p $(TFHE_SPEC)
@"$(MAKE)" symlink_c_libs_without_fingerprint
.PHONY: build_c_api_experimental_deterministic_fft # Build the C API for boolean, shortint and integer with experimental deterministic FFT
build_c_api_experimental_deterministic_fft: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) build --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api,high-level-c-api,zk-pok,experimental-force_fft_algo_dif4,$(FORWARD_COMPAT_FEATURE) \
--features=$(TARGET_ARCH_FEATURE),boolean-c-api,shortint-c-api,high-level-c-api,experimental-force_fft_algo_dif4,$(FORWARD_COMPAT_FEATURE) \
-p $(TFHE_SPEC)
@"$(MAKE)" symlink_c_libs_without_fingerprint
@@ -408,7 +347,7 @@ build_web_js_api: install_rs_build_toolchain install_wasm_pack
cd tfhe && \
RUSTFLAGS="$(WASM_RUSTFLAGS)" rustup run "$(RS_BUILD_TOOLCHAIN)" \
wasm-pack build --release --target=web \
-- --features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api,zk-pok
-- --features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api
.PHONY: build_web_js_api_parallel # Build the js API targeting the web browser with parallelism support
build_web_js_api_parallel: install_rs_check_toolchain install_wasm_pack
@@ -416,16 +355,15 @@ build_web_js_api_parallel: install_rs_check_toolchain install_wasm_pack
rustup component add rust-src --toolchain $(RS_CHECK_TOOLCHAIN) && \
RUSTFLAGS="$(WASM_RUSTFLAGS) -C target-feature=+atomics,+bulk-memory,+mutable-globals" rustup run $(RS_CHECK_TOOLCHAIN) \
wasm-pack build --release --target=web \
-- --features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api,parallel-wasm-api,zk-pok \
-Z build-std=panic_abort,std && \
find pkg/snippets -type f -iname workerHelpers.worker.js -exec sed -i "s|from '..\/..\/..\/';|from '..\/..\/..\/tfhe.js';|" {} \;
-- --features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api,parallel-wasm-api \
-Z build-std=panic_abort,std
.PHONY: build_node_js_api # Build the js API targeting nodejs
build_node_js_api: install_rs_build_toolchain install_wasm_pack
cd tfhe && \
RUSTFLAGS="$(WASM_RUSTFLAGS)" rustup run "$(RS_BUILD_TOOLCHAIN)" \
wasm-pack build --release --target=nodejs \
-- --features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api,zk-pok
-- --features=boolean-client-js-wasm-api,shortint-client-js-wasm-api,integer-client-js-wasm-api
.PHONY: build_concrete_csprng # Build concrete_csprng
build_concrete_csprng: install_rs_build_toolchain
@@ -435,10 +373,10 @@ build_concrete_csprng: install_rs_build_toolchain
.PHONY: test_core_crypto # Run the tests of the core_crypto module including experimental ones
test_core_crypto: install_rs_build_toolchain install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),experimental,zk-pok -p $(TFHE_SPEC) -- core_crypto::
--features=$(TARGET_ARCH_FEATURE),experimental -p $(TFHE_SPEC) -- core_crypto::
@if [[ "$(AVX512_SUPPORT)" == "ON" ]]; then \
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),experimental,zk-pok,$(AVX512_FEATURE) -p $(TFHE_SPEC) -- core_crypto::; \
--features=$(TARGET_ARCH_FEATURE),experimental,$(AVX512_FEATURE) -p $(TFHE_SPEC) -- core_crypto::; \
fi
.PHONY: test_core_crypto_cov # Run the tests of the core_crypto module with code coverage
@@ -461,80 +399,26 @@ test_cuda_backend:
mkdir -p "$(TFHECUDA_BUILD)" && \
cd "$(TFHECUDA_BUILD)" && \
cmake .. -DCMAKE_BUILD_TYPE=Release -DTFHE_CUDA_BACKEND_BUILD_TESTS=ON && \
"$(MAKE)" -j "$(CPU_COUNT)" && \
"$(MAKE)" test
make -j && \
make test
.PHONY: test_gpu # Run the tests of the core_crypto module including experimental on the gpu backend
test_gpu: test_core_crypto_gpu test_integer_gpu test_cuda_backend
.PHONY: test_core_crypto_gpu # Run the tests of the core_crypto module including experimental on the gpu backend
test_core_crypto_gpu: install_rs_build_toolchain
test_core_crypto_gpu: install_rs_build_toolchain install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),gpu -p $(TFHE_SPEC) -- core_crypto::gpu::
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --doc --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),gpu -p $(TFHE_SPEC) -- core_crypto::gpu::
.PHONY: test_integer_gpu # Run the tests of the integer module including experimental on the gpu backend
test_integer_gpu: install_rs_build_toolchain
test_integer_gpu: install_rs_build_toolchain install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),integer,gpu -p $(TFHE_SPEC) -- integer::gpu::server_key:: --test-threads=6
--features=$(TARGET_ARCH_FEATURE),integer,gpu -p $(TFHE_SPEC) -- integer::gpu::server_key::
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --doc --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),integer,gpu -p $(TFHE_SPEC) -- integer::gpu::server_key::
.PHONY: test_integer_gpu_ci # Run the tests for integer ci on gpu backend
test_integer_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --backend "gpu" \
--tfhe-package "$(TFHE_SPEC)"
.PHONY: test_unsigned_integer_gpu_ci # Run the tests for unsigned integer ci on gpu backend
test_unsigned_integer_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --backend "gpu" \
--unsigned-only --tfhe-package "$(TFHE_SPEC)"
.PHONY: test_signed_integer_gpu_ci # Run the tests for signed integer ci on gpu backend
test_signed_integer_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --backend "gpu" \
--signed-only --tfhe-package "$(TFHE_SPEC)"
.PHONY: test_integer_multi_bit_gpu_ci # Run the tests for integer ci on gpu backend running only multibit tests
test_integer_multi_bit_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --backend "gpu" \
--tfhe-package "$(TFHE_SPEC)"
.PHONY: test_unsigned_integer_multi_bit_gpu_ci # Run the tests for unsigned integer ci on gpu backend running only multibit tests
test_unsigned_integer_multi_bit_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --backend "gpu" \
--unsigned-only --tfhe-package "$(TFHE_SPEC)"
.PHONY: test_signed_integer_multi_bit_gpu_ci # Run the tests for signed integer ci on gpu backend running only multibit tests
test_signed_integer_multi_bit_gpu_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --backend "gpu" \
--signed-only --tfhe-package "$(TFHE_SPEC)"
.PHONY: test_boolean # Run the tests of the boolean module
test_boolean: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
@@ -557,14 +441,14 @@ test_c_api_rs: install_rs_check_toolchain
.PHONY: test_c_api_c # Run the C tests for the C API
test_c_api_c: build_c_api
./scripts/c_api_tests.sh --cargo-profile "$(CARGO_PROFILE)"
./scripts/c_api_tests.sh
.PHONY: test_c_api # Run all the tests for the C API
test_c_api: test_c_api_rs test_c_api_c
.PHONY: test_c_api_gpu # Run the C tests for the C API
test_c_api_gpu: build_c_api_gpu
./scripts/c_api_tests.sh --gpu --cargo-profile "$(CARGO_PROFILE)"
./scripts/c_api_tests.sh --gpu
.PHONY: test_shortint_ci # Run the tests for shortint ci
test_shortint_ci: install_rs_build_toolchain install_cargo_nextest
@@ -597,7 +481,6 @@ test_shortint_cov: install_rs_check_toolchain install_tarpaulin
test_integer_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --avx512-support "$(AVX512_SUPPORT)" \
--tfhe-package "$(TFHE_SPEC)"
@@ -606,7 +489,6 @@ test_integer_ci: install_rs_check_toolchain install_cargo_nextest
test_unsigned_integer_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --avx512-support "$(AVX512_SUPPORT)" \
--unsigned-only --tfhe-package "$(TFHE_SPEC)"
@@ -615,7 +497,6 @@ test_unsigned_integer_ci: install_rs_check_toolchain install_cargo_nextest
test_signed_integer_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --avx512-support "$(AVX512_SUPPORT)" \
--signed-only --tfhe-package "$(TFHE_SPEC)"
@@ -624,25 +505,22 @@ test_signed_integer_ci: install_rs_check_toolchain install_cargo_nextest
test_integer_multi_bit_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --avx512-support "$(AVX512_SUPPORT)" \
--tfhe-package "$(TFHE_SPEC)"
.PHONY: test_unsigned_integer_multi_bit_ci # Run the tests for unsigned integer ci running only multibit tests
.PHONY: test_unsigned_integer_multi_bit_ci # Run the tests for nsigned integer ci running only multibit tests
test_unsigned_integer_multi_bit_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --avx512-support "$(AVX512_SUPPORT)" \
--unsigned-only --tfhe-package "$(TFHE_SPEC)"
.PHONY: test_signed_integer_multi_bit_ci # Run the tests for signed integer ci running only multibit tests
.PHONY: test_signed_integer_multi_bit_ci # Run the tests for nsigned integer ci running only multibit tests
test_signed_integer_multi_bit_ci: install_rs_check_toolchain install_cargo_nextest
BIG_TESTS_INSTANCE="$(BIG_TESTS_INSTANCE)" \
FAST_TESTS="$(FAST_TESTS)" \
NIGHTLY_TESTS="$(NIGHTLY_TESTS)" \
./scripts/integer-tests.sh --rust-toolchain $(CARGO_RS_CHECK_TOOLCHAIN) \
--cargo-profile "$(CARGO_PROFILE)" --multi-bit --avx512-support "$(AVX512_SUPPORT)" \
--signed-only --tfhe-package "$(TFHE_SPEC)"
@@ -669,7 +547,7 @@ test_integer_cov: install_rs_check_toolchain install_tarpaulin
.PHONY: test_high_level_api # Run all the tests for high_level_api
test_high_level_api: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache,zk-pok -p $(TFHE_SPEC) \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache -p $(TFHE_SPEC) \
-- high_level_api::
test_high_level_api_gpu: install_rs_build_toolchain install_cargo_nextest
@@ -680,14 +558,13 @@ test_high_level_api_gpu: install_rs_build_toolchain install_cargo_nextest
.PHONY: test_user_doc # Run tests from the .md documentation
test_user_doc: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) --doc \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache,pbs-stats,zk-pok \
-p $(TFHE_SPEC) \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache -p $(TFHE_SPEC) \
-- test_user_docs::
.PHONY: test_user_doc_gpu # Run tests for GPU from the .md documentation
test_user_doc_gpu: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) --doc \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache,gpu,zk-pok -p $(TFHE_SPEC) \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,internal-keycache,gpu -p $(TFHE_SPEC) \
-- test_user_docs::
.PHONY: test_fhe_strings # Run tests for fhe_strings example
@@ -722,87 +599,46 @@ test_kreyvium: install_rs_build_toolchain
-p tfhe-trivium -- --test-threads=1 kreyvium::
.PHONY: test_concrete_csprng # Run concrete-csprng tests
test_concrete_csprng: install_rs_build_toolchain
test_concrete_csprng:
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--features=$(TARGET_ARCH_FEATURE) -p concrete-csprng
.PHONY: test_zk_pok # Run tfhe-zk-pok tests
test_zk_pok: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
-p tfhe-zk-pok
.PHONY: test_versionable # Run tests for tfhe-versionable subcrate
test_versionable: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
-p tfhe-versionable
# The backward compat data repo holds historical binary data but also rust code to generate and load them.
# Here we use the "patch" functionality of Cargo to make sure the repo used for the data is the same as the one used for the code.
.PHONY: test_backward_compatibility_ci
test_backward_compatibility_ci: install_rs_build_toolchain
TFHE_BACKWARD_COMPAT_DATA_DIR="$(BACKWARD_COMPAT_DATA_DIR)" RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --profile $(CARGO_PROFILE) \
--config "patch.'$(BACKWARD_COMPAT_DATA_URL)'.$(BACKWARD_COMPAT_DATA_PROJECT).path=\"tfhe/$(BACKWARD_COMPAT_DATA_DIR)\"" \
--features=$(TARGET_ARCH_FEATURE),shortint,integer -p $(TFHE_SPEC) test_backward_compatibility -- --nocapture
.PHONY: test_backward_compatibility # Same as test_backward_compatibility_ci but tries to clone the data repo first if needed
test_backward_compatibility: tfhe/$(BACKWARD_COMPAT_DATA_DIR) test_backward_compatibility_ci
.PHONY: backward_compat_branch # Prints the required backward compatibility branch
backward_compat_branch:
@echo "$(BACKWARD_COMPAT_DATA_BRANCH)"
.PHONY: doc # Build rust doc
doc: install_rs_check_toolchain
@# Even though we are not in docs.rs, this allows to "just" build the doc
DOCS_RS=1 \
RUSTDOCFLAGS="--html-in-header katex-header.html" \
cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" doc \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,gpu,internal-keycache,experimental,zk-pok --no-deps -p $(TFHE_SPEC)
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer --no-deps -p $(TFHE_SPEC)
.PHONY: docs # Build rust doc alias for doc
docs: doc
.PHONY: lint_doc # Build rust doc with linting enabled
lint_doc: install_rs_check_toolchain
@# Even though we are not in docs.rs, this allows to "just" build the doc
DOCS_RS=1 \
RUSTDOCFLAGS="--html-in-header katex-header.html -Dwarnings" \
cargo "$(CARGO_RS_CHECK_TOOLCHAIN)" doc \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer,gpu,internal-keycache,experimental,zk-pok -p $(TFHE_SPEC) --no-deps
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,integer -p $(TFHE_SPEC) --no-deps
.PHONY: lint_docs # Build rust doc with linting enabled alias for lint_doc
lint_docs: lint_doc
.PHONY: format_doc_latex # Format the documentation latex equations to avoid broken rendering.
format_doc_latex:
RUSTFLAGS="" cargo xtask format_latex_doc
cargo xtask format_latex_doc
@"$(MAKE)" --no-print-directory fmt
@printf "\n===============================\n\n"
@printf "Please manually inspect changes made by format_latex_doc, rustfmt can break equations \
if the line length is exceeded\n"
@printf "\n===============================\n"
.PHONY: check_md_docs_are_tested # Checks that the rust codeblocks in our .md files are tested
check_md_docs_are_tested:
RUSTFLAGS="" cargo xtask check_tfhe_docs_are_tested
.PHONY: check_intra_md_links # Checks broken internal links in Markdown docs
check_intra_md_links: install_mlc
mlc --offline --match-file-extension tfhe/docs
.PHONY: check_md_links # Checks all broken links in Markdown docs
check_md_links: install_mlc
mlc --match-file-extension tfhe/docs
.PHONY: check_compile_tests # Build tests in debug without running them
check_compile_tests: install_rs_build_toolchain
check_compile_tests:
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --no-run \
--features=$(TARGET_ARCH_FEATURE),experimental,boolean,shortint,integer,internal-keycache \
-p $(TFHE_SPEC)
@if [[ "$(OS)" == "Linux" || "$(OS)" == "Darwin" ]]; then \
"$(MAKE)" build_c_api && \
./scripts/c_api_tests.sh --build-only --cargo-profile "$(CARGO_PROFILE)"; \
./scripts/c_api_tests.sh --build-only; \
fi
.PHONY: check_compile_tests_benches_gpu # Build tests in debug without running them
@@ -813,7 +649,7 @@ check_compile_tests_benches_gpu: install_rs_build_toolchain
mkdir -p "$(TFHECUDA_BUILD)" && \
cd "$(TFHECUDA_BUILD)" && \
cmake .. -DCMAKE_BUILD_TYPE=Debug -DTFHE_CUDA_BACKEND_BUILD_TESTS=ON -DTFHE_CUDA_BACKEND_BUILD_BENCHMARKS=ON && \
"$(MAKE)" -j "$(CPU_COUNT)"
make -j
.PHONY: build_nodejs_test_docker # Build a docker image with tools to run nodejs tests for wasm API
build_nodejs_test_docker:
@@ -833,14 +669,14 @@ test_nodejs_wasm_api_in_docker: build_nodejs_test_docker
.PHONY: test_nodejs_wasm_api # Run tests for the nodejs on wasm API
test_nodejs_wasm_api: build_node_js_api
cd tfhe/js_on_wasm_tests && npm run test
cd tfhe && node --test js_on_wasm_tests
.PHONY: test_web_js_api_parallel # Run tests for the web wasm api
test_web_js_api_parallel: build_web_js_api_parallel
$(MAKE) -C tfhe/web_wasm_parallel_tests test
.PHONY: test_web_js_api_parallel_ci # Run tests for the web wasm api
test_web_js_api_parallel_ci: build_web_js_api_parallel
.PHONY: ci_test_web_js_api_parallel # Run tests for the web wasm api
ci_test_web_js_api_parallel: build_web_js_api_parallel
source ~/.nvm/nvm.sh && \
nvm install $(NODE_VERSION) && \
nvm use $(NODE_VERSION) && \
@@ -907,22 +743,6 @@ bench_integer_multi_bit_gpu: install_rs_check_toolchain
--bench integer-bench \
--features=$(TARGET_ARCH_FEATURE),integer,gpu,internal-keycache,nightly-avx512 -p $(TFHE_SPEC) --
.PHONY: bench_unsigned_integer_multi_bit_gpu # Run benchmarks for unsigned integer on GPU backend using multi-bit parameters
bench_unsigned_integer_multi_bit_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" __TFHE_RS_BENCH_TYPE=MULTI_BIT \
__TFHE_RS_BENCH_OP_FLAVOR=$(BENCH_OP_FLAVOR) __TFHE_RS_FAST_BENCH=$(FAST_BENCH) \
cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench integer-bench \
--features=$(TARGET_ARCH_FEATURE),integer,gpu,internal-keycache,nightly-avx512 -p $(TFHE_SPEC) -- ::unsigned
.PHONY: bench_integer_zk # Run benchmarks for integer encryption with ZK proofs
bench_integer_zk: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" \
cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench zk-pke-bench \
--features=$(TARGET_ARCH_FEATURE),integer,internal-keycache,zk-pok,nightly-avx512 \
-p $(TFHE_SPEC) --
.PHONY: bench_shortint # Run benchmarks for shortint
bench_shortint: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" __TFHE_RS_BENCH_OP_FLAVOR=$(BENCH_OP_FLAVOR) \
@@ -930,12 +750,18 @@ bench_shortint: install_rs_check_toolchain
--bench shortint-bench \
--features=$(TARGET_ARCH_FEATURE),shortint,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
.PHONY: bench_shortint_oprf # Run benchmarks for shortint
bench_shortint_oprf: install_rs_check_toolchain
.PHONY: bench_oprf # Run benchmarks for shortint
bench_oprf: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" \
cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench oprf-shortint-bench \
--features=$(TARGET_ARCH_FEATURE),shortint,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
RUSTFLAGS="$(RUSTFLAGS)" \
cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench oprf-integer-bench \
--features=$(TARGET_ARCH_FEATURE),integer,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
.PHONY: bench_shortint_multi_bit # Run benchmarks for shortint using multi-bit parameters
bench_shortint_multi_bit: install_rs_check_toolchain
@@ -945,6 +771,7 @@ bench_shortint_multi_bit: install_rs_check_toolchain
--bench shortint-bench \
--features=$(TARGET_ARCH_FEATURE),shortint,internal-keycache,nightly-avx512 -p $(TFHE_SPEC) --
.PHONY: bench_boolean # Run benchmarks for boolean
bench_boolean: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
@@ -957,15 +784,9 @@ bench_pbs: install_rs_check_toolchain
--bench pbs-bench \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
.PHONY: bench_pbs128 # Run benchmarks for PBS using FFT 128 bits
bench_pbs128: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench pbs128-bench \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
.PHONY: bench_pbs_gpu # Run benchmarks for PBS on GPU backend
bench_pbs_gpu: install_rs_check_toolchain
RUSTFLAGS="$(RUSTFLAGS)" __TFHE_RS_FAST_BENCH=$(FAST_BENCH) cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_CHECK_TOOLCHAIN) bench \
--bench pbs-bench \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,gpu,internal-keycache,nightly-avx512 -p $(TFHE_SPEC)
@@ -985,16 +806,15 @@ bench_ks_gpu: install_rs_check_toolchain
bench_web_js_api_parallel: build_web_js_api_parallel
$(MAKE) -C tfhe/web_wasm_parallel_tests bench
.PHONY: bench_web_js_api_parallel_ci # Run benchmarks for the web wasm api
bench_web_js_api_parallel_ci: build_web_js_api_parallel
.PHONY: ci_bench_web_js_api_parallel # Run benchmarks for the web wasm api
ci_bench_web_js_api_parallel: build_web_js_api_parallel
source ~/.nvm/nvm.sh && \
nvm use $(NODE_VERSION) && \
nvm use node && \
$(MAKE) -C tfhe/web_wasm_parallel_tests bench-ci
#
# Utility tools
#
.PHONY: gen_key_cache # Run the script to generate keys and cache them for shortint tests
gen_key_cache: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS) --cfg tarpaulin" cargo $(CARGO_RS_BUILD_TOOLCHAIN) run --profile $(CARGO_PROFILE) \
@@ -1045,12 +865,6 @@ write_params_to_file: install_rs_check_toolchain
--example write_params_to_file \
--features=$(TARGET_ARCH_FEATURE),boolean,shortint,internal-keycache
.PHONY: clone_backward_compat_data # Clone the data repo needed for backward compatibility tests
clone_backward_compat_data:
./scripts/clone_backward_compat_data.sh $(BACKWARD_COMPAT_DATA_URL) $(BACKWARD_COMPAT_DATA_BRANCH) tfhe/$(BACKWARD_COMPAT_DATA_DIR)
tfhe/$(BACKWARD_COMPAT_DATA_DIR): clone_backward_compat_data
#
# Real use case examples
#
@@ -1076,15 +890,13 @@ sha256_bool: install_rs_check_toolchain
--features=$(TARGET_ARCH_FEATURE),boolean
.PHONY: pcc # pcc stands for pre commit checks (except GPU)
pcc: no_tfhe_typo no_dbg_log check_fmt lint_doc check_md_docs_are_tested check_intra_md_links \
clippy_all tfhe_lints check_compile_tests
pcc: no_tfhe_typo no_dbg_log check_fmt lint_doc clippy_all check_compile_tests
.PHONY: pcc_gpu # pcc stands for pre commit checks for GPU compilation
pcc_gpu: clippy_gpu clippy_cuda_backend check_compile_tests_benches_gpu
.PHONY: fpcc # pcc stands for pre commit checks, the f stands for fast
fpcc: no_tfhe_typo no_dbg_log check_fmt lint_doc check_md_docs_are_tested clippy_fast \
check_compile_tests
fpcc: no_tfhe_typo no_dbg_log check_fmt lint_doc clippy_fast check_compile_tests
.PHONY: conformance # Automatically fix problems that can be fixed
conformance: fix_newline fmt

View File

@@ -1,10 +1,6 @@
<p align="center">
<!-- product name logo -->
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/zama-ai/tfhe-rs/assets/157474013/5283e0ba-da1e-43af-9f2a-c5221367a12b">
<source media="(prefers-color-scheme: light)" srcset="https://github.com/zama-ai/tfhe-rs/assets/157474013/b94a8c96-7595-400b-9311-70765c706955">
<img width=600 alt="Zama TFHE-rs">
</picture>
<img width=600 src="https://user-images.githubusercontent.com/5758427/231206749-8f146b97-3c5a-4201-8388-3ffa88580415.png">
</p>
<hr/>
@@ -50,7 +46,7 @@ production-ready library for all the advanced features of TFHE.
<br></br>
## Table of Contents
- **[Getting started](#getting-started)**
- **[Getting Started](#getting-started)**
- [Cargo.toml configuration](#cargotoml-configuration)
- [A simple example](#a-simple-example)
- **[Resources](#resources)**
@@ -65,7 +61,7 @@ production-ready library for all the advanced features of TFHE.
- **[Support](#support)**
<br></br>
## Getting started
## Getting Started
### Cargo.toml configuration
To use the latest version of `TFHE-rs` in your project, you first need to add it as a dependency in your `Cargo.toml`:
@@ -131,13 +127,13 @@ fn main() -> Result<(), Box<dyn std::error::Error>> {
// Clear equivalent computations: 1344 * 5 = 6720
let encrypted_res_mul = &encrypted_a * &encrypted_b;
// Clear equivalent computations: 6720 >> 5 = 210
// Clear equivalent computations: 1344 >> 5 = 42
encrypted_a = &encrypted_res_mul >> &encrypted_b;
// Clear equivalent computations: let casted_a = a as u8;
let casted_a: FheUint8 = encrypted_a.cast_into();
// Clear equivalent computations: min(210, 7) = 7
// Clear equivalent computations: min(42, 7) = 7
let encrypted_res_min = &casted_a.min(&encrypted_c);
// Operation between clear and encrypted data:
@@ -177,12 +173,12 @@ to run in release mode with cargo's `--release` flag to have the best performanc
<br></br>
### Tutorials
- [[Video tutorial] Implement signed integers using TFHE-rs ](https://www.zama.ai/post/video-tutorial-implement-signed-integers-ssing-tfhe-rs)
- [Homomorphic parity bit](https://docs.zama.ai/tfhe-rs/tutorials/parity_bit)
- [Homomorphic case changing on Ascii string](https://docs.zama.ai/tfhe-rs/tutorials/ascii_fhe_string)
- [Homomorphic Parity Bit](https://docs.zama.ai/tfhe-rs/tutorials/parity_bit)
- [Homomorphic Case Changing on Ascii String](https://docs.zama.ai/tfhe-rs/tutorials/ascii_fhe_string)
- [Boolean SHA256 with TFHE-rs](https://www.zama.ai/post/boolean-sha256-tfhe-rs)
- [Dark market with TFHE-rs](https://www.zama.ai/post/dark-market-tfhe-rs)
- [Regular expression engine with TFHE-rs](https://www.zama.ai/post/regex-engine-tfhe-rs)
- [Dark Market with TFHE-rs](https://www.zama.ai/post/dark-market-tfhe-rs)
- [Regular Expression Engine with TFHE-rs](https://www.zama.ai/post/regex-engine-tfhe-rs)
*Explore more useful resources in [TFHE-rs tutorials](https://docs.zama.ai/tfhe-rs/tutorials) and [Awesome Zama repo](https://github.com/zama-ai/awesome-zama)*
<br></br>
@@ -198,7 +194,7 @@ Full, comprehensive documentation is available here: [https://docs.zama.ai/tfhe-
### Disclaimers
#### Security estimation
#### Security Estimation
Security estimations are done using the
[Lattice Estimator](https://github.com/malb/lattice-estimator)
@@ -206,13 +202,7 @@ with `red_cost_model = reduction.RC.BDGL16`.
When a new update is published in the Lattice Estimator, we update parameters accordingly.
### Security model
The default parameters for the TFHE-rs library are chosen considering the IND-CPA security model, and are selected with a bootstrapping failure probability fixed at p_error = $2^{-64}$. In particular, it is assumed that the results of decrypted computations are not shared by the secret key owner with any third parties, as such an action can lead to leakage of the secret encryption key. If you are designing an application where decryptions must be shared, you will need to craft custom encryption parameters which are chosen in consideration of the IND-CPA^D security model [1].
[1] Li, Baiyu, et al. "Securing approximate homomorphic encryption using differential privacy." Annual International Cryptology Conference. Cham: Springer Nature Switzerland, 2022. https://eprint.iacr.org/2022/816.pdf
#### Side-channel attacks
#### Side-Channel Attacks
Mitigation for side-channel attacks has not yet been implemented in TFHE-rs,
and will be released in upcoming versions.
@@ -241,23 +231,7 @@ Becoming an approved contributor involves signing our Contributor License Agreem
<br></br>
### License
This software is distributed under the **BSD-3-Clause-Clear** license. Read [this](LICENSE) for more details.
#### FAQ
**Is Zamas technology free to use?**
>Zamas libraries are free to use under the BSD 3-Clause Clear license only for development, research, prototyping, and experimentation purposes. However, for any commercial use of Zama's open source code, companies must purchase Zamas commercial patent license.
>
>Everything we do is open source and we are very transparent on what it means for our users, you can read more about how we monetize our open source products at Zama in [this blogpost](https://www.zama.ai/post/open-source).
**What do I need to do if I want to use Zamas technology for commercial purposes?**
>To commercially use Zamas technology you need to be granted Zamas patent license. Please contact us hello@zama.ai for more information.
**Do you file IP on your technology?**
>Yes, all Zamas technologies are patented.
**Can you customize a solution for my specific use case?**
>We are open to collaborating and advancing the FHE space with our partners. If you have specific needs, please email us at hello@zama.ai.
This software is distributed under the **BSD-3-Clause-Clear** license. If you have any questions, please contact us at hello@zama.ai.
<p align="right">
<a href="#about" > ↑ Back to top </a>
</p>
@@ -266,11 +240,7 @@ This software is distributed under the **BSD-3-Clause-Clear** license. Read [thi
## Support
<a target="_blank" href="https://community.zama.ai">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/zama-ai/tfhe-rs/assets/157474013/08656d0a-3f44-4126-b8b6-8c601dff5380">
<source media="(prefers-color-scheme: light)" srcset="https://github.com/zama-ai/tfhe-rs/assets/157474013/1c9c9308-50ac-4aab-a4b9-469bb8c536a4">
<img alt="Support">
</picture>
<img src="https://github.com/zama-ai/tfhe-rs/assets/157474013/8da6cf5b-51a0-4c86-9e75-fd0e4a4c64a4">
</a>
🌟 If you find this project helpful or interesting, please consider giving it a star on GitHub! Your support helps to grow the community and motivates further development.

View File

@@ -15,6 +15,7 @@ Example of a Rust main below:
```rust
use tfhe::{ConfigBuilder, generate_keys, FheBool};
use tfhe::prelude::*;
use tfhe_trivium::TriviumStream;
fn get_hexadecimal_string_from_lsb_first_stream(a: Vec<bool>) -> String {
@@ -71,7 +72,7 @@ fn get_hexadecimal_string_from_lsb_first_stream(a: Vec<bool>) -> String {
}
fn main() {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::all_disabled().enable_default_bool().build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB".to_string();
@@ -138,12 +139,14 @@ Example code:
```rust
use tfhe::shortint::prelude::*;
use tfhe::shortint::CastingKey;
use tfhe::{ConfigBuilder, generate_keys, FheUint64};
use tfhe::prelude::*;
use tfhe_trivium::TriviumStreamShortint;
fn test_shortint() {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::all_disabled().enable_default_integers().build();
let (hl_client_key, hl_server_key) = generate_keys(config);
let (client_key, server_key): (ClientKey, ServerKey) = gen_keys(PARAM_MESSAGE_1_CARRY_1_KS_PBS);
let ksk = CastingKey::new((&client_key, &server_key), (&hl_client_key, &hl_server_key));

View File

@@ -1,8 +1,10 @@
use criterion::Criterion;
use tfhe::prelude::*;
use tfhe::{generate_keys, ConfigBuilder, FheBool};
use tfhe_trivium::KreyviumStream;
use criterion::Criterion;
pub fn kreyvium_bool_gen(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
let (client_key, server_key) = generate_keys(config);

View File

@@ -1,11 +1,14 @@
use criterion::Criterion;
use tfhe::prelude::*;
use tfhe::{generate_keys, ConfigBuilder, FheUint64, FheUint8};
use tfhe_trivium::{KreyviumStreamByte, TransCiphering};
pub fn kreyvium_byte_gen(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
use criterion::Criterion;
pub fn kreyvium_byte_gen(c: &mut Criterion) {
let config = ConfigBuilder::default()
.enable_function_evaluation()
.build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB000000000000".to_string();
@@ -32,8 +35,9 @@ pub fn kreyvium_byte_gen(c: &mut Criterion) {
}
pub fn kreyvium_byte_trans(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::default()
.enable_function_evaluation()
.build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB000000000000".to_string();
@@ -61,8 +65,9 @@ pub fn kreyvium_byte_trans(c: &mut Criterion) {
}
pub fn kreyvium_byte_warmup(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::default()
.enable_function_evaluation()
.build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB000000000000".to_string();

View File

@@ -1,9 +1,12 @@
use criterion::Criterion;
use tfhe::prelude::*;
use tfhe::shortint::prelude::*;
use tfhe::shortint::KeySwitchingKey;
use tfhe::{generate_keys, ConfigBuilder, FheUint64};
use tfhe_trivium::{KreyviumStreamShortint, TransCiphering};
use criterion::Criterion;
pub fn kreyvium_shortint_warmup(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
let (hl_client_key, hl_server_key) = generate_keys(config);
@@ -13,7 +16,7 @@ pub fn kreyvium_shortint_warmup(c: &mut Criterion) {
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)),
(&client_key, &server_key),
(&underlying_ck, &underlying_sk),
PARAM_KEYSWITCH_1_1_KS_PBS_TO_2_2_KS_PBS,
);
@@ -63,7 +66,7 @@ pub fn kreyvium_shortint_gen(c: &mut Criterion) {
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)),
(&client_key, &server_key),
(&underlying_ck, &underlying_sk),
PARAM_KEYSWITCH_1_1_KS_PBS_TO_2_2_KS_PBS,
);
@@ -108,7 +111,7 @@ pub fn kreyvium_shortint_trans(c: &mut Criterion) {
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)),
(&client_key, &server_key),
(&underlying_ck, &underlying_sk),
PARAM_KEYSWITCH_1_1_KS_PBS_TO_2_2_KS_PBS,
);

View File

@@ -1,8 +1,10 @@
use criterion::Criterion;
use tfhe::prelude::*;
use tfhe::{generate_keys, ConfigBuilder, FheBool};
use tfhe_trivium::TriviumStream;
use criterion::Criterion;
pub fn trivium_bool_gen(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
let (client_key, server_key) = generate_keys(config);

View File

@@ -1,8 +1,10 @@
use criterion::Criterion;
use tfhe::prelude::*;
use tfhe::{generate_keys, ConfigBuilder, FheUint64, FheUint8};
use tfhe_trivium::{TransCiphering, TriviumStreamByte};
use criterion::Criterion;
pub fn trivium_byte_gen(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
let (client_key, server_key) = generate_keys(config);

View File

@@ -1,9 +1,12 @@
use criterion::Criterion;
use tfhe::prelude::*;
use tfhe::shortint::prelude::*;
use tfhe::shortint::KeySwitchingKey;
use tfhe::{generate_keys, ConfigBuilder, FheUint64};
use tfhe_trivium::{TransCiphering, TriviumStreamShortint};
use criterion::Criterion;
pub fn trivium_shortint_warmup(c: &mut Criterion) {
let config = ConfigBuilder::default().build();
let (hl_client_key, hl_server_key) = generate_keys(config);
@@ -13,7 +16,7 @@ pub fn trivium_shortint_warmup(c: &mut Criterion) {
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)),
(&client_key, &server_key),
(&underlying_ck, &underlying_sk),
PARAM_KEYSWITCH_1_1_KS_PBS_TO_2_2_KS_PBS,
);
@@ -63,7 +66,7 @@ pub fn trivium_shortint_gen(c: &mut Criterion) {
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)),
(&client_key, &server_key),
(&underlying_ck, &underlying_sk),
PARAM_KEYSWITCH_1_1_KS_PBS_TO_2_2_KS_PBS,
);
@@ -108,7 +111,7 @@ pub fn trivium_shortint_trans(c: &mut Criterion) {
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)),
(&client_key, &server_key),
(&underlying_ck, &underlying_sk),
PARAM_KEYSWITCH_1_1_KS_PBS_TO_2_2_KS_PBS,
);

View File

@@ -2,10 +2,12 @@
//! for the representation of the inner bits.
use crate::static_deque::StaticDeque;
use rayon::prelude::*;
use tfhe::prelude::*;
use tfhe::{set_server_key, unset_server_key, FheBool, ServerKey};
use rayon::prelude::*;
/// Internal trait specifying which operations are necessary for KreyviumStream generic type
pub trait KreyviumBoolInput<OpOutput>:
Sized

View File

@@ -2,10 +2,12 @@
//! for the representation of the inner bits.
use crate::static_deque::{StaticByteDeque, StaticByteDequeInput};
use rayon::prelude::*;
use tfhe::prelude::*;
use tfhe::{set_server_key, unset_server_key, FheUint8, ServerKey};
use rayon::prelude::*;
/// Internal trait specifying which operations are necessary for KreyviumStreamByte generic type
pub trait KreyviumByteInput<OpOutput>:
Sized
@@ -119,7 +121,7 @@ impl KreyviumStreamByte<FheUint8> {
}
// Key and iv are stored in reverse in their shift registers
let mut key = key_bytes.map(|b| b.reverse_bits());
let mut key = key_bytes.map(|b| b.map(|x| (x as u8).reverse_bits() as u64));
let mut iv = iv_bytes.map(|x| FheUint8::encrypt_trivial(x.reverse_bits()));
key.reverse();
iv.reverse();

View File

@@ -1,7 +1,9 @@
use crate::static_deque::StaticDeque;
use rayon::prelude::*;
use tfhe::shortint::prelude::*;
use rayon::prelude::*;
/// KreyviumStreamShortint: a struct implementing the Kreyvium stream cipher, using a generic
/// Ciphertext for the internal representation of bits (intended to represent a single bit). To be
/// able to compute FHE operations, it also owns a ServerKey.
@@ -34,7 +36,7 @@ impl KreyviumStreamShortint {
let mut c_register: [Ciphertext; 111] = [0; 111].map(|x| sk.create_trivial(x));
for i in 0..93 {
a_register[i].clone_from(&key[128 - 93 + i]);
a_register[i] = key[128 - 93 + i].clone();
}
for i in 0..84 {
b_register[i] = sk.create_trivial(iv[128 - 84 + i]);

View File

@@ -1,7 +1,8 @@
use crate::{KreyviumStream, KreyviumStreamByte, KreyviumStreamShortint, TransCiphering};
use tfhe::prelude::*;
use tfhe::{generate_keys, ConfigBuilder, FheBool, FheUint64, FheUint8};
use crate::{KreyviumStream, KreyviumStreamByte, KreyviumStreamShortint, TransCiphering};
// Values for these tests come from the github repo renaud1239/Kreyvium,
// commit fd6828f68711276c25f55e605935028f5e843f43
@@ -224,7 +225,7 @@ fn kreyvium_test_shortint_long() {
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)),
(&client_key, &server_key),
(&underlying_ck, &underlying_sk),
PARAM_KEYSWITCH_1_1_KS_PBS_TO_2_2_KS_PBS,
);
@@ -299,8 +300,9 @@ fn kreyvium_test_clear_byte() {
#[test]
fn kreyvium_test_byte_long() {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::default()
.enable_function_evaluation()
.build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB000000000000".to_string();
@@ -337,8 +339,9 @@ fn kreyvium_test_byte_long() {
#[test]
fn kreyvium_test_fhe_byte_transciphering_long() {
let config = ConfigBuilder::default().build();
let config = ConfigBuilder::default()
.enable_function_evaluation()
.build();
let (client_key, server_key) = generate_keys(config);
let key_string = "0053A6F94C9FF24598EB000000000000".to_string();

View File

@@ -1,6 +1,5 @@
#[allow(clippy::module_inception)]
mod static_deque;
pub use static_deque::StaticDeque;
mod static_byte_deque;
pub use static_byte_deque::{StaticByteDeque, StaticByteDequeInput};

View File

@@ -4,6 +4,7 @@
//! This is pretending to store bits, and allows accessing bits in chunks of 8 consecutive.
use crate::static_deque::StaticDeque;
use tfhe::FheUint8;
/// Internal trait specifying which operations are needed by StaticByteDeque

View File

@@ -2,11 +2,13 @@
//! when trans ciphering is available to them.
use crate::{KreyviumStreamByte, KreyviumStreamShortint, TriviumStreamByte, TriviumStreamShortint};
use rayon::prelude::*;
use tfhe::prelude::*;
use tfhe::shortint::Ciphertext;
use tfhe::prelude::*;
use tfhe::{set_server_key, unset_server_key, FheUint64, FheUint8, ServerKey};
use rayon::prelude::*;
/// Triat specifying the interface for trans ciphering a FheUint64 object. Since it is meant
/// to be used with stream ciphers, encryption and decryption are by default the same.
pub trait TransCiphering {

View File

@@ -1,7 +1,8 @@
use crate::{TransCiphering, TriviumStream, TriviumStreamByte, TriviumStreamShortint};
use tfhe::prelude::*;
use tfhe::{generate_keys, ConfigBuilder, FheBool, FheUint64, FheUint8};
use crate::{TransCiphering, TriviumStream, TriviumStreamByte, TriviumStreamShortint};
// Values for these tests come from the github repo cantora/avr-crypto-lib, commit 2a5b018,
// file testvectors/trivium-80.80.test-vectors
@@ -360,7 +361,7 @@ fn trivium_test_shortint_long() {
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)),
(&client_key, &server_key),
(&underlying_ck, &underlying_sk),
PARAM_KEYSWITCH_1_1_KS_PBS_TO_2_2_KS_PBS,
);

View File

@@ -2,10 +2,12 @@
//! for the representation of the inner bits.
use crate::static_deque::StaticDeque;
use rayon::prelude::*;
use tfhe::prelude::*;
use tfhe::{set_server_key, unset_server_key, FheBool, ServerKey};
use rayon::prelude::*;
/// Internal trait specifying which operations are necessary for TriviumStream generic type
pub trait TriviumBoolInput<OpOutput>:
Sized

View File

@@ -2,10 +2,12 @@
//! for the representation of the inner bits.
use crate::static_deque::{StaticByteDeque, StaticByteDequeInput};
use rayon::prelude::*;
use tfhe::prelude::*;
use tfhe::{set_server_key, unset_server_key, FheUint8, ServerKey};
use rayon::prelude::*;
/// Internal trait specifying which operations are necessary for TriviumStreamByte generic type
pub trait TriviumByteInput<OpOutput>:
Sized

View File

@@ -1,7 +1,9 @@
use crate::static_deque::StaticDeque;
use rayon::prelude::*;
use tfhe::shortint::prelude::*;
use rayon::prelude::*;
/// TriviumStreamShortint: a struct implementing the Trivium stream cipher, using a generic
/// Ciphertext for the internal representation of bits (intended to represent a single bit). To be
/// able to compute FHE operations, it also owns a ServerKey.
@@ -32,7 +34,7 @@ impl TriviumStreamShortint {
let mut c_register: [Ciphertext; 111] = [0; 111].map(|x| sk.create_trivial(x));
for i in 0..80 {
a_register[93 - 80 + i].clone_from(&key[i]);
a_register[93 - 80 + i] = key[i].clone();
b_register[84 - 80 + i] = sk.create_trivial(iv[i]);
}

View File

@@ -1,6 +1,6 @@
[package]
name = "tfhe-cuda-backend"
version = "0.4.0-alpha.0"
version = "0.2.0"
edition = "2021"
authors = ["Zama team"]
license = "BSD-3-Clause-Clear"
@@ -13,4 +13,6 @@ keywords = ["fully", "homomorphic", "encryption", "fhe", "cryptography"]
[build-dependencies]
cmake = { version = "0.1" }
pkg-config = { version = "0.3" }
[dependencies]
thiserror = "1.0"

View File

@@ -2,30 +2,7 @@ use std::env;
use std::process::Command;
fn main() {
if let Ok(val) = env::var("DOCS_RS") {
if val.parse::<u32>() == Ok(1) {
return;
}
}
// This is a workaround to the current nightly toolchain (2024-06-27 which started with
// toolchain 2024-05-05) build issue
// Essentially if cbindgen is running, a wrong argument ends up forwarded to the cuda backend
// "make" command during macro expansions for TFHE-rs C API, crashing make for make < 4.4 and
// thus crashing the build
// On the other hand, this speeds up C API build greatly given we don't have macro expansions
// in the CUDA backend so this skips the second compilation of TFHE-rs for macro inspection by
// cbindgen
if std::env::var("_CBINDGEN_IS_RUNNING").is_ok() {
return;
}
println!("Build tfhe-cuda-backend");
println!("cargo::rerun-if-changed=cuda/include");
println!("cargo::rerun-if-changed=cuda/src");
println!("cargo::rerun-if-changed=cuda/tests_and_benchmarks");
println!("cargo::rerun-if-changed=cuda/CMakeLists.txt");
println!("cargo::rerun-if-changed=src");
if env::consts::OS == "linux" {
let output = Command::new("./get_os_name.sh").output().unwrap();
let distribution = String::from_utf8(output.stdout).unwrap();
@@ -38,15 +15,7 @@ fn main() {
let dest = cmake::build("cuda");
println!("cargo:rustc-link-search=native={}", dest.display());
println!("cargo:rustc-link-lib=static=tfhe_cuda_backend");
// Try to find the cuda libs with pkg-config, default to the path used by the nvidia runfile
if pkg_config::Config::new()
.atleast_version("10")
.probe("cuda")
.is_err()
{
println!("cargo:rustc-link-search=native=/usr/local/cuda/lib64");
}
println!("cargo:rustc-link-search=native=/usr/local/cuda/lib64");
println!("cargo:rustc-link-lib=gomp");
println!("cargo:rustc-link-lib=cudart");
println!("cargo:rustc-link-search=native=/usr/lib/x86_64-linux-gnu/");

View File

@@ -1,2 +1 @@
/build/
include/cuda_config.h

View File

@@ -58,15 +58,10 @@ set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}")
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Xcompiler ${OpenMP_CXX_FLAGS}")
if(${CUDA_SUCCESS})
set(CMAKE_CUDA_ARCHITECTURES native)
string(REPLACE "-arch=sm_" "" CUDA_ARCH "${ARCH}")
set(CUDA_ARCH "${CUDA_ARCH}0")
else()
set(CMAKE_CUDA_ARCHITECTURES 70)
set(CUDA_ARCH "700")
endif()
add_compile_definitions(CUDA_ARCH=${CUDA_ARCH})
# in production, should use -arch=sm_70 --ptxas-options=-v to see register spills -lineinfo for better debugging
set(CMAKE_CUDA_FLAGS
"${CMAKE_CUDA_FLAGS} -ccbin ${CMAKE_CXX_COMPILER} -O3 \

View File

@@ -1,4 +1,4 @@
#!/usr/bin/env bash
#!/bin/bash
set -e
@@ -6,14 +6,14 @@ while getopts ":c" option; do
case $option in
c)
# code to execute when flag1 is provided
find ./{include,src,tests_and_benchmarks/include,tests_and_benchmarks/tests,tests_and_benchmarks/benchmarks} -iregex '^.*\.\(cpp\|cu\|h\|cuh\)$' -print | xargs clang-format-15 -i -style='file' --dry-run --Werror
find ./{include,src,tests_and_benchmarks/tests,tests_and_benchmarks/benchmarks} -iregex '^.*\.\(cpp\|cu\|h\|cuh\)$' -print | xargs clang-format-15 -i -style='file' --dry-run --Werror
cmake-format -i CMakeLists.txt -c .cmake-format-config.py
find ./{include,src,tests_and_benchmarks/include,tests_and_benchmarks/tests,tests_and_benchmarks/benchmarks} -type f -name "CMakeLists.txt" | xargs -I % sh -c 'cmake-format -i % -c .cmake-format-config.py'
find ./{include,src,tests_and_benchmarks/tests,tests_and_benchmarks/benchmarks} -type f -name "CMakeLists.txt" | xargs -I % sh -c 'cmake-format -i % -c .cmake-format-config.py'
git diff --exit-code
exit
;;
esac
done
find ./{include,src,tests_and_benchmarks/include,tests_and_benchmarks/tests,tests_and_benchmarks/benchmarks} -iregex '^.*\.\(cpp\|cu\|h\|cuh\)$' -print | xargs clang-format-15 -i -style='file'
find ./{include,src,tests_and_benchmarks/tests,tests_and_benchmarks/benchmarks} -iregex '^.*\.\(cpp\|cu\|h\|cuh\)$' -print | xargs clang-format-15 -i -style='file'
cmake-format -i CMakeLists.txt -c .cmake-format-config.py
find ./{include,src,tests_and_benchmarks/include,tests_and_benchmarks/tests,tests_and_benchmarks/benchmarks} -type f -name "CMakeLists.txt" | xargs -I % sh -c 'cmake-format -i % -c .cmake-format-config.py'
find ./{include,src,tests_and_benchmarks/tests,tests_and_benchmarks/benchmarks} -type f -name "CMakeLists.txt" | xargs -I % sh -c 'cmake-format -i % -c .cmake-format-config.py'

View File

@@ -0,0 +1,328 @@
#ifndef CUDA_BOOTSTRAP_H
#define CUDA_BOOTSTRAP_H
#include "device.h"
#include <cstdint>
enum PBS_TYPE { MULTI_BIT = 0, LOW_LAT = 1, AMORTIZED = 2 };
enum PBS_VARIANT { DEFAULT = 0, FAST = 1 };
extern "C" {
void cuda_fourier_polynomial_mul(void *input1, void *input2, void *output,
cuda_stream_t *stream,
uint32_t polynomial_size,
uint32_t total_polynomials);
void cuda_convert_lwe_bootstrap_key_32(void *dest, void *src,
cuda_stream_t *stream,
uint32_t input_lwe_dim,
uint32_t glwe_dim, uint32_t level_count,
uint32_t polynomial_size);
void cuda_convert_lwe_bootstrap_key_64(void *dest, void *src,
cuda_stream_t *stream,
uint32_t input_lwe_dim,
uint32_t glwe_dim, uint32_t level_count,
uint32_t polynomial_size);
void scratch_cuda_bootstrap_amortized_32(
cuda_stream_t *stream, int8_t **pbs_buffer, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t input_lwe_ciphertext_count,
uint32_t max_shared_memory, bool allocate_gpu_memory);
void scratch_cuda_bootstrap_amortized_64(
cuda_stream_t *stream, int8_t **pbs_buffer, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t input_lwe_ciphertext_count,
uint32_t max_shared_memory, bool allocate_gpu_memory);
void cuda_bootstrap_amortized_lwe_ciphertext_vector_32(
cuda_stream_t *stream, void *lwe_array_out, void *lwe_output_indexes,
void *lut_vector, void *lut_vector_indexes, void *lwe_array_in,
void *lwe_input_indexes, void *bootstrapping_key, int8_t *pbs_buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t num_luts, uint32_t lwe_idx, uint32_t max_shared_memory);
void cuda_bootstrap_amortized_lwe_ciphertext_vector_64(
cuda_stream_t *stream, void *lwe_array_out, void *lwe_output_indexes,
void *lut_vector, void *lut_vector_indexes, void *lwe_array_in,
void *lwe_input_indexes, void *bootstrapping_key, int8_t *pbs_buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t num_luts, uint32_t lwe_idx, uint32_t max_shared_memory);
void cleanup_cuda_bootstrap_amortized(cuda_stream_t *stream,
int8_t **pbs_buffer);
void scratch_cuda_bootstrap_low_latency_32(
cuda_stream_t *stream, int8_t **buffer, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
void scratch_cuda_bootstrap_low_latency_64(
cuda_stream_t *stream, int8_t **buffer, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
void cuda_bootstrap_low_latency_lwe_ciphertext_vector_32(
cuda_stream_t *stream, void *lwe_array_out, void *lwe_output_indexes,
void *lut_vector, void *lut_vector_indexes, void *lwe_array_in,
void *lwe_input_indexes, void *bootstrapping_key, int8_t *buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t num_luts, uint32_t lwe_idx, uint32_t max_shared_memory);
void cuda_bootstrap_low_latency_lwe_ciphertext_vector_64(
cuda_stream_t *stream, void *lwe_array_out, void *lwe_output_indexes,
void *lut_vector, void *lut_vector_indexes, void *lwe_array_in,
void *lwe_input_indexes, void *bootstrapping_key, int8_t *buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t base_log, uint32_t level_count, uint32_t num_samples,
uint32_t num_luts, uint32_t lwe_idx, uint32_t max_shared_memory);
void cleanup_cuda_bootstrap_low_latency_32(cuda_stream_t *stream,
int8_t **pbs_buffer);
void cleanup_cuda_bootstrap_low_latency_64(cuda_stream_t *stream,
int8_t **pbs_buffer);
uint64_t get_buffer_size_bootstrap_amortized_64(
uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory);
uint64_t get_buffer_size_bootstrap_low_latency_64(
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory);
}
template <typename Torus>
__host__ __device__ uint64_t
get_buffer_size_full_sm_bootstrap_low_latency_step_one(
uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator_rotated
sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
__host__ __device__ uint64_t
get_buffer_size_full_sm_bootstrap_low_latency_step_two(
uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator
sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
__host__ __device__ uint64_t
get_buffer_size_partial_sm_bootstrap_low_latency(uint32_t polynomial_size) {
return sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
__host__ __device__ uint64_t
get_buffer_size_full_sm_bootstrap_fast_low_latency(uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator_rotated
sizeof(Torus) * polynomial_size + // accumulator
sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
__host__ __device__ uint64_t
get_buffer_size_partial_sm_bootstrap_fast_low_latency(
uint32_t polynomial_size) {
return sizeof(double2) * polynomial_size / 2; // accumulator fft mask & body
}
template <typename Torus, PBS_TYPE pbs_type> struct pbs_buffer;
template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::LOW_LAT> {
int8_t *d_mem;
Torus *global_accumulator;
double2 *global_accumulator_fft;
PBS_VARIANT pbs_variant;
pbs_buffer(cuda_stream_t *stream, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, PBS_VARIANT pbs_variant,
bool allocate_gpu_memory) {
this->pbs_variant = pbs_variant;
auto max_shared_memory = cuda_get_max_shared_memory(stream->gpu_index);
if (allocate_gpu_memory) {
switch (pbs_variant) {
case PBS_VARIANT::DEFAULT: {
uint64_t full_sm_step_one =
get_buffer_size_full_sm_bootstrap_low_latency_step_one<Torus>(
polynomial_size);
uint64_t full_sm_step_two =
get_buffer_size_full_sm_bootstrap_low_latency_step_two<Torus>(
polynomial_size);
uint64_t partial_sm =
get_buffer_size_partial_sm_bootstrap_low_latency<Torus>(
polynomial_size);
uint64_t partial_dm_step_one = full_sm_step_one - partial_sm;
uint64_t partial_dm_step_two = full_sm_step_two - partial_sm;
uint64_t full_dm = full_sm_step_one;
uint64_t device_mem = 0;
if (max_shared_memory < partial_sm) {
device_mem = full_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
} else if (max_shared_memory < full_sm_step_two) {
device_mem =
(partial_dm_step_two + partial_dm_step_one * level_count) *
input_lwe_ciphertext_count * (glwe_dimension + 1);
} else if (max_shared_memory < full_sm_step_one) {
device_mem = partial_dm_step_one * input_lwe_ciphertext_count *
level_count * (glwe_dimension + 1);
}
// Otherwise, both kernels run all in shared memory
d_mem = (int8_t *)cuda_malloc_async(device_mem, stream);
global_accumulator_fft = (double2 *)cuda_malloc_async(
(glwe_dimension + 1) * level_count * input_lwe_ciphertext_count *
(polynomial_size / 2) * sizeof(double2),
stream);
global_accumulator = (Torus *)cuda_malloc_async(
(glwe_dimension + 1) * input_lwe_ciphertext_count *
polynomial_size * sizeof(Torus),
stream);
} break;
case PBS_VARIANT::FAST: {
uint64_t full_sm =
get_buffer_size_full_sm_bootstrap_fast_low_latency<Torus>(
polynomial_size);
uint64_t partial_sm =
get_buffer_size_partial_sm_bootstrap_fast_low_latency<Torus>(
polynomial_size);
uint64_t partial_dm = full_sm - partial_sm;
uint64_t full_dm = full_sm;
uint64_t device_mem = 0;
if (max_shared_memory < partial_sm) {
device_mem = full_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
} else if (max_shared_memory < full_sm) {
device_mem = partial_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
}
// Otherwise, both kernels run all in shared memory
d_mem = (int8_t *)cuda_malloc_async(device_mem, stream);
global_accumulator_fft = (double2 *)cuda_malloc_async(
(glwe_dimension + 1) * level_count * input_lwe_ciphertext_count *
polynomial_size / 2 * sizeof(double2),
stream);
} break;
default:
PANIC("Cuda error (PBS): unsupported implementation variant.")
}
}
}
void release(cuda_stream_t *stream) {
cuda_drop_async(d_mem, stream);
cuda_drop_async(global_accumulator_fft, stream);
if (pbs_variant == DEFAULT)
cuda_drop_async(global_accumulator, stream);
}
};
template <typename Torus>
__host__ __device__ uint64_t get_buffer_size_bootstrap_fast_low_latency(
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory) {
uint64_t full_sm = get_buffer_size_full_sm_bootstrap_fast_low_latency<Torus>(
polynomial_size);
uint64_t partial_sm =
get_buffer_size_partial_sm_bootstrap_fast_low_latency<Torus>(
polynomial_size);
uint64_t partial_dm = full_sm - partial_sm;
uint64_t full_dm = full_sm;
uint64_t device_mem = 0;
if (max_shared_memory < partial_sm) {
device_mem = full_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
} else if (max_shared_memory < full_sm) {
device_mem = partial_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
}
uint64_t buffer_size = device_mem + (glwe_dimension + 1) * level_count *
input_lwe_ciphertext_count *
polynomial_size / 2 * sizeof(double2);
return buffer_size + buffer_size % sizeof(double2);
}
template <typename Torus>
bool has_support_to_cuda_bootstrap_fast_low_latency(uint32_t glwe_dimension,
uint32_t polynomial_size,
uint32_t level_count,
uint32_t num_samples,
uint32_t max_shared_memory);
template <typename Torus>
void cuda_bootstrap_fast_low_latency_lwe_ciphertext_vector(
cuda_stream_t *stream, Torus *lwe_array_out, 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, LOW_LAT> *buffer, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t base_log,
uint32_t level_count, uint32_t num_samples, uint32_t num_luts,
uint32_t lwe_idx, uint32_t max_shared_memory);
template <typename Torus>
void cuda_bootstrap_low_latency_lwe_ciphertext_vector(
cuda_stream_t *stream, Torus *lwe_array_out, 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, LOW_LAT> *buffer, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t base_log,
uint32_t level_count, uint32_t num_samples, uint32_t num_luts,
uint32_t lwe_idx, uint32_t max_shared_memory);
template <typename Torus, typename STorus>
void scratch_cuda_fast_bootstrap_low_latency(
cuda_stream_t *stream, pbs_buffer<Torus, LOW_LAT> **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
template <typename Torus, typename STorus>
void scratch_cuda_bootstrap_low_latency(
cuda_stream_t *stream, pbs_buffer<Torus, LOW_LAT> **buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory);
#ifdef __CUDACC__
__device__ inline int get_start_ith_ggsw(int i, uint32_t polynomial_size,
int glwe_dimension,
uint32_t level_count);
template <typename T>
__device__ T *get_ith_mask_kth_block(T *ptr, int i, int k, int level,
uint32_t polynomial_size,
int glwe_dimension, uint32_t level_count);
template <typename T>
__device__ T *get_ith_body_kth_block(T *ptr, int i, int k, int level,
uint32_t polynomial_size,
int glwe_dimension, uint32_t level_count);
template <typename T>
__device__ T *get_multi_bit_ith_lwe_gth_group_kth_block(
T *ptr, int g, int i, int k, int level, uint32_t grouping_factor,
uint32_t polynomial_size, uint32_t glwe_dimension, uint32_t level_count);
#endif
#endif // CUDA_BOOTSTRAP_H

View File

@@ -0,0 +1,155 @@
#ifndef CUDA_MULTI_BIT_H
#define CUDA_MULTI_BIT_H
#include "bootstrap.h"
#include <cstdint>
extern "C" {
bool has_support_to_cuda_bootstrap_fast_multi_bit(uint32_t glwe_dimension,
uint32_t polynomial_size,
uint32_t level_count,
uint32_t num_samples,
uint32_t max_shared_memory);
void cuda_convert_lwe_multi_bit_bootstrap_key_64(
void *dest, void *src, cuda_stream_t *stream, 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_pbs_64(
cuda_stream_t *stream, int8_t **pbs_buffer, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t grouping_factor, uint32_t input_lwe_ciphertext_count,
uint32_t max_shared_memory, bool allocate_gpu_memory,
uint32_t chunk_size = 0);
void cuda_multi_bit_pbs_lwe_ciphertext_vector_64(
cuda_stream_t *stream, void *lwe_array_out, void *lwe_output_indexes,
void *lut_vector, void *lut_vector_indexes, void *lwe_array_in,
void *lwe_input_indexes, void *bootstrapping_key, int8_t *buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t grouping_factor, uint32_t base_log, uint32_t level_count,
uint32_t num_samples, uint32_t num_luts, uint32_t lwe_idx,
uint32_t max_shared_memory, uint32_t lwe_chunk_size = 0);
void scratch_cuda_generic_multi_bit_pbs_64(
cuda_stream_t *stream, int8_t **pbs_buffer, uint32_t lwe_dimension,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t grouping_factor, uint32_t input_lwe_ciphertext_count,
uint32_t max_shared_memory, bool allocate_gpu_memory,
uint32_t lwe_chunk_size = 0);
void cuda_generic_multi_bit_pbs_lwe_ciphertext_vector_64(
cuda_stream_t *stream, 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 grouping_factor, uint32_t base_log, uint32_t level_count,
uint32_t num_samples, uint32_t num_luts, uint32_t lwe_idx,
uint32_t max_shared_memory, uint32_t lwe_chunk_size = 0);
void cleanup_cuda_multi_bit_pbs_32(cuda_stream_t *stream, int8_t **pbs_buffer);
void cleanup_cuda_multi_bit_pbs_64(cuda_stream_t *stream, int8_t **pbs_buffer);
}
template <typename Torus, typename STorus>
void scratch_cuda_fast_multi_bit_pbs(
cuda_stream_t *stream, pbs_buffer<Torus, MULTI_BIT> **pbs_buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count, uint32_t grouping_factor,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory, uint32_t lwe_chunk_size = 0);
template <typename Torus>
void cuda_fast_multi_bit_pbs_lwe_ciphertext_vector(
cuda_stream_t *stream, Torus *lwe_array_out, 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_luts, uint32_t lwe_idx, uint32_t max_shared_memory,
uint32_t lwe_chunk_size = 0);
template <typename Torus, typename STorus>
void scratch_cuda_multi_bit_pbs(
cuda_stream_t *stream, pbs_buffer<Torus, MULTI_BIT> **pbs_buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count, uint32_t grouping_factor,
uint32_t input_lwe_ciphertext_count, uint32_t max_shared_memory,
bool allocate_gpu_memory, uint32_t lwe_chunk_size = 0);
template <typename Torus>
void cuda_multi_bit_pbs_lwe_ciphertext_vector(
cuda_stream_t *stream, Torus *lwe_array_out, 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_luts, uint32_t lwe_idx, uint32_t max_shared_memory,
uint32_t lwe_chunk_size = 0);
template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::MULTI_BIT> {
double2 *keybundle_fft;
Torus *global_accumulator;
double2 *global_accumulator_fft;
PBS_VARIANT pbs_variant;
pbs_buffer(cuda_stream_t *stream, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t lwe_chunk_size,
PBS_VARIANT pbs_variant, bool allocate_gpu_memory) {
this->pbs_variant = pbs_variant;
auto max_shared_memory = cuda_get_max_shared_memory(stream->gpu_index);
if (allocate_gpu_memory) {
switch (pbs_variant) {
case DEFAULT:
case FAST:
keybundle_fft = (double2 *)cuda_malloc_async(
input_lwe_ciphertext_count * lwe_chunk_size * level_count *
(glwe_dimension + 1) * (glwe_dimension + 1) *
(polynomial_size / 2) * sizeof(double2),
stream);
global_accumulator = (Torus *)cuda_malloc_async(
input_lwe_ciphertext_count * (glwe_dimension + 1) *
polynomial_size * sizeof(Torus),
stream);
global_accumulator_fft = (double2 *)cuda_malloc_async(
input_lwe_ciphertext_count * (glwe_dimension + 1) * level_count *
(polynomial_size / 2) * sizeof(double2),
stream);
break;
default:
PANIC("Cuda error (PBS): unsupported implementation variant.")
}
}
}
void release(cuda_stream_t *stream) {
cuda_drop_async(keybundle_fft, stream);
cuda_drop_async(global_accumulator, stream);
cuda_drop_async(global_accumulator_fft, stream);
}
};
#ifdef __CUDACC__
__host__ uint32_t get_lwe_chunk_size(uint32_t lwe_dimension,
uint32_t level_count,
uint32_t glwe_dimension,
uint32_t num_samples);
__host__ uint32_t get_average_lwe_chunk_size(uint32_t lwe_dimension,
uint32_t level_count,
uint32_t glwe_dimension,
uint32_t ct_count);
__host__ uint64_t get_max_buffer_size_multibit_bootstrap(
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count, uint32_t max_input_lwe_ciphertext_count);
#endif
#endif // CUDA_MULTI_BIT_H

View File

@@ -1,25 +1,18 @@
#ifndef CUDA_CIPHERTEXT_H
#define CUDA_CIPHERTEXT_H
#include "device.h"
#include <cstdint>
extern "C" {
void cuda_convert_lwe_ciphertext_vector_to_gpu_64(void *stream,
void cuda_convert_lwe_ciphertext_vector_to_gpu_64(void *dest, void *src,
void *v_stream,
uint32_t gpu_index,
void *dest, void *src,
uint32_t number_of_cts,
uint32_t lwe_dimension);
void cuda_convert_lwe_ciphertext_vector_to_cpu_64(void *stream,
void cuda_convert_lwe_ciphertext_vector_to_cpu_64(void *dest, void *src,
void *v_stream,
uint32_t gpu_index,
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 *glwe_array_in,
uint32_t *nth_array, uint32_t num_glwes,
uint32_t glwe_dimension,
uint32_t polynomial_size);
};
#endif

View File

@@ -6,9 +6,9 @@
#include <cstdlib>
#include <cstring>
#include <cuda_runtime.h>
#include <vector>
#define synchronize_threads_in_block() __syncthreads()
extern "C" {
#define check_cuda_error(ans) \
@@ -27,33 +27,47 @@ inline void cuda_error(cudaError_t code, const char *file, int line) {
std::abort(); \
}
cudaStream_t cuda_create_stream(uint32_t gpu_index);
struct cuda_stream_t {
cudaStream_t stream;
uint32_t gpu_index;
void cuda_destroy_stream(cudaStream_t stream, uint32_t gpu_index);
cuda_stream_t(uint32_t gpu_index) {
this->gpu_index = gpu_index;
void cuda_synchronize_stream(cudaStream_t stream, uint32_t gpu_index);
check_cuda_error(cudaStreamCreate(&stream));
}
void release() {
check_cuda_error(cudaSetDevice(gpu_index));
check_cuda_error(cudaStreamDestroy(stream));
}
void synchronize() { check_cuda_error(cudaStreamSynchronize(stream)); }
};
cuda_stream_t *cuda_create_stream(uint32_t gpu_index);
void cuda_destroy_stream(cuda_stream_t *stream);
void *cuda_malloc(uint64_t size, uint32_t gpu_index);
void *cuda_malloc_async(uint64_t size, cudaStream_t stream, uint32_t gpu_index);
void *cuda_malloc_async(uint64_t size, cuda_stream_t *stream);
void cuda_check_valid_malloc(uint64_t size, uint32_t gpu_index);
bool cuda_check_support_cooperative_groups();
bool cuda_check_support_thread_block_clusters();
void cuda_memcpy_async_to_gpu(void *dest, void *src, uint64_t size,
cudaStream_t stream, uint32_t gpu_index);
cuda_stream_t *stream);
void cuda_memcpy_async_gpu_to_gpu(void *dest, void *src, uint64_t size,
cudaStream_t stream, uint32_t gpu_index);
cuda_stream_t *stream);
void cuda_memcpy_async_to_cpu(void *dest, const void *src, uint64_t size,
cudaStream_t stream, uint32_t gpu_index);
cuda_stream_t *stream);
void cuda_memset_async(void *dest, uint64_t val, uint64_t size,
cudaStream_t stream, uint32_t gpu_index);
cuda_stream_t *stream);
int cuda_get_number_of_gpus();
@@ -61,12 +75,20 @@ void cuda_synchronize_device(uint32_t gpu_index);
void cuda_drop(void *ptr, uint32_t gpu_index);
void cuda_drop_async(void *ptr, cudaStream_t stream, uint32_t gpu_index);
void cuda_drop_async(void *ptr, cuda_stream_t *stream);
int cuda_get_max_shared_memory(uint32_t gpu_index);
void cuda_synchronize_stream(cuda_stream_t *stream);
void cuda_stream_add_callback(cuda_stream_t *stream,
cudaStreamCallback_t callback, void *user_data);
void host_free_on_stream_callback(cudaStream_t stream, cudaError_t status,
void *host_pointer);
}
template <typename Torus>
void cuda_set_value_async(cudaStream_t stream, uint32_t gpu_index,
Torus *d_array, Torus value, Torus n);
void cuda_set_value_async(cudaStream_t *stream, Torus *d_array, Torus value,
Torus n);
#endif

View File

@@ -1,34 +0,0 @@
#ifndef HELPER_MULTI_GPU_H
#define HELPER_MULTI_GPU_H
#include <mutex>
#include <variant>
#include <vector>
extern std::mutex m;
extern bool p2p_enabled;
extern "C" {
int cuda_setup_multi_gpu();
}
// Define a variant type that can be either a vector or a single pointer
template <typename Torus>
using LweArrayVariant = std::variant<std::vector<Torus *>, Torus *>;
// Macro to define the visitor logic using std::holds_alternative for vectors
#define GET_VARIANT_ELEMENT(variant, index) \
[&] { \
if (std::holds_alternative<std::vector<Torus *>>(variant)) { \
return std::get<std::vector<Torus *>>(variant)[index]; \
} else { \
return std::get<Torus *>(variant); \
} \
}()
int get_active_gpu_count(int num_inputs, int gpu_count);
int get_num_inputs_on_gpu(int total_num_inputs, int gpu_index, int gpu_count);
int get_gpu_offset(int total_num_inputs, int gpu_index, int gpu_count);
#endif

File diff suppressed because it is too large Load Diff

View File

@@ -6,16 +6,16 @@
extern "C" {
void cuda_keyswitch_lwe_ciphertext_vector_32(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *lwe_output_indexes, void *lwe_array_in, void *lwe_input_indexes,
void *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples);
cuda_stream_t *stream, void *lwe_array_out, void *lwe_output_indexes,
void *lwe_array_in, void *lwe_input_indexes, void *ksk,
uint32_t lwe_dimension_in, uint32_t lwe_dimension_out, uint32_t base_log,
uint32_t level_count, uint32_t num_samples);
void cuda_keyswitch_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *lwe_output_indexes, void *lwe_array_in, void *lwe_input_indexes,
void *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples);
cuda_stream_t *stream, void *lwe_array_out, void *lwe_output_indexes,
void *lwe_array_in, void *lwe_input_indexes, void *ksk,
uint32_t lwe_dimension_in, uint32_t lwe_dimension_out, uint32_t base_log,
uint32_t level_count, uint32_t num_samples);
}
#endif // CNCRT_KS_H_

View File

@@ -1,48 +1,48 @@
#ifndef CUDA_LINALG_H_
#define CUDA_LINALG_H_
#include "programmable_bootstrap.h"
#include "bootstrap.h"
#include <cstdint>
#include <device.h>
extern "C" {
void cuda_negate_lwe_ciphertext_vector_32(void *stream, uint32_t gpu_index,
void cuda_negate_lwe_ciphertext_vector_32(cuda_stream_t *stream,
void *lwe_array_out,
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 cuda_negate_lwe_ciphertext_vector_64(cuda_stream_t *stream,
void *lwe_array_out,
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 cuda_add_lwe_ciphertext_vector_32(cuda_stream_t *stream,
void *lwe_array_out,
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 cuda_add_lwe_ciphertext_vector_64(cuda_stream_t *stream,
void *lwe_array_out,
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 *lwe_array_in,
cuda_stream_t *stream, 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 *lwe_array_in,
cuda_stream_t *stream, 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 *lwe_array_in,
cuda_stream_t *stream, 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 *lwe_array_in,
cuda_stream_t *stream, void *lwe_array_out, void *lwe_array_in,
void *cleartext_array_in, uint32_t input_lwe_dimension,
uint32_t input_lwe_ciphertext_count);
}

View File

@@ -1,416 +0,0 @@
#ifndef CUDA_BOOTSTRAP_H
#define CUDA_BOOTSTRAP_H
#include "device.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);
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);
void cleanup_cuda_programmable_bootstrap(void *stream, uint32_t gpu_index,
int8_t **pbs_buffer);
uint64_t get_buffer_size_programmable_bootstrap_amortized_64(
uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t input_lwe_ciphertext_count);
uint64_t get_buffer_size_programmable_bootstrap_64(
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count);
}
template <typename Torus>
uint64_t get_buffer_size_full_sm_programmable_bootstrap_step_one(
uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator_rotated
sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
uint64_t get_buffer_size_full_sm_programmable_bootstrap_step_two(
uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator
sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
uint64_t
get_buffer_size_partial_sm_programmable_bootstrap(uint32_t polynomial_size) {
return sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
uint64_t
get_buffer_size_full_sm_programmable_bootstrap_tbc(uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator_rotated
sizeof(Torus) * polynomial_size + // accumulator
sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
uint64_t get_buffer_size_partial_sm_programmable_bootstrap_tbc(
uint32_t polynomial_size) {
return sizeof(double2) * polynomial_size / 2; // accumulator fft mask & body
}
template <typename Torus>
uint64_t get_buffer_size_sm_dsm_plus_tbc_classic_programmable_bootstrap(
uint32_t polynomial_size) {
return sizeof(double2) * polynomial_size / 2; // tbc
}
template <typename Torus>
uint64_t
get_buffer_size_full_sm_programmable_bootstrap_cg(uint32_t polynomial_size) {
return sizeof(Torus) * polynomial_size + // accumulator_rotated
sizeof(Torus) * polynomial_size + // accumulator
sizeof(double2) * polynomial_size / 2; // accumulator fft
}
template <typename Torus>
uint64_t
get_buffer_size_partial_sm_programmable_bootstrap_cg(uint32_t polynomial_size) {
return sizeof(double2) * polynomial_size / 2; // accumulator fft mask & body
}
template <typename Torus>
bool supports_distributed_shared_memory_on_classic_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus, PBS_TYPE pbs_type> struct pbs_buffer;
template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::CLASSICAL> {
int8_t *d_mem;
Torus *global_accumulator;
double2 *global_accumulator_fft;
PBS_VARIANT pbs_variant;
pbs_buffer(cudaStream_t stream, uint32_t gpu_index, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, PBS_VARIANT pbs_variant,
bool allocate_gpu_memory) {
this->pbs_variant = pbs_variant;
auto max_shared_memory = cuda_get_max_shared_memory(0);
if (allocate_gpu_memory) {
switch (pbs_variant) {
case PBS_VARIANT::DEFAULT: {
uint64_t full_sm_step_one =
get_buffer_size_full_sm_programmable_bootstrap_step_one<Torus>(
polynomial_size);
uint64_t full_sm_step_two =
get_buffer_size_full_sm_programmable_bootstrap_step_two<Torus>(
polynomial_size);
uint64_t partial_sm =
get_buffer_size_partial_sm_programmable_bootstrap<Torus>(
polynomial_size);
uint64_t partial_dm_step_one = full_sm_step_one - partial_sm;
uint64_t partial_dm_step_two = full_sm_step_two - partial_sm;
uint64_t full_dm = full_sm_step_one;
uint64_t device_mem = 0;
if (max_shared_memory < partial_sm) {
device_mem = full_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
} else if (max_shared_memory < full_sm_step_two) {
device_mem =
(partial_dm_step_two + partial_dm_step_one * level_count) *
input_lwe_ciphertext_count * (glwe_dimension + 1);
} else if (max_shared_memory < full_sm_step_one) {
device_mem = partial_dm_step_one * input_lwe_ciphertext_count *
level_count * (glwe_dimension + 1);
}
// Otherwise, both kernels run all in shared memory
d_mem = (int8_t *)cuda_malloc_async(device_mem, stream, gpu_index);
global_accumulator_fft = (double2 *)cuda_malloc_async(
(glwe_dimension + 1) * level_count * input_lwe_ciphertext_count *
(polynomial_size / 2) * sizeof(double2),
stream, gpu_index);
global_accumulator = (Torus *)cuda_malloc_async(
(glwe_dimension + 1) * input_lwe_ciphertext_count *
polynomial_size * sizeof(Torus),
stream, gpu_index);
} break;
case PBS_VARIANT::CG: {
uint64_t full_sm =
get_buffer_size_full_sm_programmable_bootstrap_cg<Torus>(
polynomial_size);
uint64_t partial_sm =
get_buffer_size_partial_sm_programmable_bootstrap_cg<Torus>(
polynomial_size);
uint64_t partial_dm = full_sm - partial_sm;
uint64_t full_dm = full_sm;
uint64_t device_mem = 0;
if (max_shared_memory < partial_sm) {
device_mem = full_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
} else if (max_shared_memory < full_sm) {
device_mem = partial_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
}
// Otherwise, both kernels run all in shared memory
d_mem = (int8_t *)cuda_malloc_async(device_mem, stream, gpu_index);
global_accumulator_fft = (double2 *)cuda_malloc_async(
(glwe_dimension + 1) * level_count * input_lwe_ciphertext_count *
polynomial_size / 2 * sizeof(double2),
stream, gpu_index);
} break;
#if CUDA_ARCH >= 900
case PBS_VARIANT::TBC: {
bool supports_dsm =
supports_distributed_shared_memory_on_classic_programmable_bootstrap<
Torus>(polynomial_size);
uint64_t full_sm =
get_buffer_size_full_sm_programmable_bootstrap_tbc<Torus>(
polynomial_size);
uint64_t partial_sm =
get_buffer_size_partial_sm_programmable_bootstrap_tbc<Torus>(
polynomial_size);
uint64_t minimum_sm_tbc = 0;
if (supports_dsm)
minimum_sm_tbc =
get_buffer_size_sm_dsm_plus_tbc_classic_programmable_bootstrap<
Torus>(polynomial_size);
uint64_t partial_dm = full_sm - partial_sm;
uint64_t full_dm = full_sm;
uint64_t device_mem = 0;
// There is a minimum amount of memory we need to run the TBC PBS, which
// is minimum_sm_tbc. We know that minimum_sm_tbc bytes are available
// because otherwise the previous check would have redirected
// computation to some other variant. If over that we don't have more
// partial_sm bytes, TBC PBS will run on NOSM. If we have partial_sm but
// not full_sm bytes, it will run on PARTIALSM. Otherwise, FULLSM.
//
// NOSM mode actually requires minimum_sm_tbc shared memory bytes.
if (max_shared_memory < partial_sm + minimum_sm_tbc) {
device_mem = full_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
} else if (max_shared_memory < full_sm + minimum_sm_tbc) {
device_mem = partial_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
}
// Otherwise, both kernels run all in shared memory
d_mem = (int8_t *)cuda_malloc_async(device_mem, stream, gpu_index);
global_accumulator_fft = (double2 *)cuda_malloc_async(
(glwe_dimension + 1) * level_count * input_lwe_ciphertext_count *
polynomial_size / 2 * sizeof(double2),
stream, gpu_index);
} break;
#endif
default:
PANIC("Cuda error (PBS): unsupported implementation variant.")
}
}
}
void release(cudaStream_t stream, uint32_t gpu_index) {
cuda_drop_async(d_mem, stream, gpu_index);
cuda_drop_async(global_accumulator_fft, stream, gpu_index);
if (pbs_variant == DEFAULT)
cuda_drop_async(global_accumulator, stream, gpu_index);
}
};
template <typename Torus>
uint64_t get_buffer_size_programmable_bootstrap_cg(
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count) {
int max_shared_memory = cuda_get_max_shared_memory(0);
uint64_t full_sm =
get_buffer_size_full_sm_programmable_bootstrap_cg<Torus>(polynomial_size);
uint64_t partial_sm =
get_buffer_size_partial_sm_programmable_bootstrap_cg<Torus>(
polynomial_size);
uint64_t partial_dm = full_sm - partial_sm;
uint64_t full_dm = full_sm;
uint64_t device_mem = 0;
if (max_shared_memory < partial_sm) {
device_mem = full_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
} else if (max_shared_memory < full_sm) {
device_mem = partial_dm * input_lwe_ciphertext_count * level_count *
(glwe_dimension + 1);
}
uint64_t buffer_size = device_mem + (glwe_dimension + 1) * level_count *
input_lwe_ciphertext_count *
polynomial_size / 2 * sizeof(double2);
return buffer_size + buffer_size % sizeof(double2);
}
template <typename Torus>
bool has_support_to_cuda_programmable_bootstrap_cg(uint32_t glwe_dimension,
uint32_t polynomial_size,
uint32_t level_count,
uint32_t num_samples);
template <typename Torus>
void cuda_programmable_bootstrap_cg_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
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);
template <typename Torus>
void cuda_programmable_bootstrap_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
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);
#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 *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);
template <typename Torus>
void scratch_cuda_programmable_bootstrap_tbc(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, CLASSICAL> **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
#endif
template <typename Torus>
void scratch_cuda_programmable_bootstrap_cg(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, CLASSICAL> **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
template <typename Torus>
void scratch_cuda_programmable_bootstrap(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, CLASSICAL> **buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
template <typename Torus>
bool has_support_to_cuda_programmable_bootstrap_tbc(uint32_t num_samples,
uint32_t glwe_dimension,
uint32_t polynomial_size,
uint32_t level_count);
#ifdef __CUDACC__
__device__ inline int get_start_ith_ggsw(int i, uint32_t polynomial_size,
int glwe_dimension,
uint32_t level_count);
template <typename T>
__device__ const T *get_ith_mask_kth_block(const T *ptr, int i, int k,
int level, uint32_t polynomial_size,
int glwe_dimension,
uint32_t level_count);
template <typename T>
__device__ T *get_ith_mask_kth_block(T *ptr, int i, int k, int level,
uint32_t polynomial_size,
int glwe_dimension, uint32_t level_count);
template <typename T>
__device__ T *get_ith_body_kth_block(T *ptr, int i, int k, int level,
uint32_t polynomial_size,
int glwe_dimension, uint32_t level_count);
template <typename T>
__device__ const T *get_multi_bit_ith_lwe_gth_group_kth_block(
const T *ptr, int g, int i, int k, int level, uint32_t grouping_factor,
uint32_t polynomial_size, uint32_t glwe_dimension, uint32_t level_count);
#endif
#endif // CUDA_BOOTSTRAP_H

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@@ -1,293 +0,0 @@
#ifndef CUDA_MULTI_BIT_H
#define CUDA_MULTI_BIT_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 lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count, uint32_t grouping_factor,
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);
void cleanup_cuda_multi_bit_programmable_bootstrap(void *stream,
uint32_t gpu_index,
int8_t **pbs_buffer);
}
template <typename Torus>
bool supports_distributed_shared_memory_on_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus>
bool has_support_to_cuda_programmable_bootstrap_tbc_multi_bit(
uint32_t num_samples, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count);
#if CUDA_ARCH >= 900
template <typename Torus>
void scratch_cuda_tbc_multi_bit_programmable_bootstrap(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, MULTI_BIT> **buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count, uint32_t grouping_factor,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
template <typename Torus>
void cuda_tbc_multi_bit_programmable_bootstrap_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
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);
#endif
template <typename Torus>
void scratch_cuda_cg_multi_bit_programmable_bootstrap(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, MULTI_BIT> **pbs_buffer,
uint32_t glwe_dimension, uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
template <typename Torus>
void cuda_cg_multi_bit_programmable_bootstrap_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
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);
template <typename Torus>
void scratch_cuda_multi_bit_programmable_bootstrap(
void *stream, uint32_t gpu_index, pbs_buffer<Torus, MULTI_BIT> **pbs_buffer,
uint32_t lwe_dimension, uint32_t glwe_dimension, uint32_t polynomial_size,
uint32_t level_count, uint32_t grouping_factor,
uint32_t input_lwe_ciphertext_count, bool allocate_gpu_memory);
template <typename Torus>
void cuda_multi_bit_programmable_bootstrap_lwe_ciphertext_vector(
void *stream, uint32_t gpu_index, Torus *lwe_array_out,
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);
template <typename Torus>
uint64_t get_buffer_size_full_sm_multibit_programmable_bootstrap_keybundle(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_full_sm_multibit_programmable_bootstrap_step_one(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_full_sm_multibit_programmable_bootstrap_step_two(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_partial_sm_multibit_programmable_bootstrap_step_one(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_full_sm_cg_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_partial_sm_cg_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_sm_dsm_plus_tbc_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_partial_sm_tbc_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus>
uint64_t get_buffer_size_full_sm_tbc_multibit_programmable_bootstrap(
uint32_t polynomial_size);
template <typename Torus> struct pbs_buffer<Torus, PBS_TYPE::MULTI_BIT> {
int8_t *d_mem_keybundle = NULL;
int8_t *d_mem_acc_step_one = NULL;
int8_t *d_mem_acc_step_two = NULL;
int8_t *d_mem_acc_cg = NULL;
int8_t *d_mem_acc_tbc = NULL;
double2 *keybundle_fft;
Torus *global_accumulator;
double2 *global_accumulator_fft;
PBS_VARIANT pbs_variant;
pbs_buffer(cudaStream_t stream, uint32_t gpu_index, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t level_count,
uint32_t input_lwe_ciphertext_count, uint32_t lwe_chunk_size,
PBS_VARIANT pbs_variant, bool allocate_gpu_memory) {
this->pbs_variant = pbs_variant;
auto max_shared_memory = cuda_get_max_shared_memory(gpu_index);
// default
uint64_t full_sm_keybundle =
get_buffer_size_full_sm_multibit_programmable_bootstrap_keybundle<
Torus>(polynomial_size);
uint64_t full_sm_accumulate_step_one =
get_buffer_size_full_sm_multibit_programmable_bootstrap_step_one<Torus>(
polynomial_size);
uint64_t full_sm_accumulate_step_two =
get_buffer_size_full_sm_multibit_programmable_bootstrap_step_two<Torus>(
polynomial_size);
uint64_t partial_sm_accumulate_step_one =
get_buffer_size_partial_sm_multibit_programmable_bootstrap_step_one<
Torus>(polynomial_size);
// cg
uint64_t full_sm_cg_accumulate =
get_buffer_size_full_sm_cg_multibit_programmable_bootstrap<Torus>(
polynomial_size);
uint64_t partial_sm_cg_accumulate =
get_buffer_size_partial_sm_cg_multibit_programmable_bootstrap<Torus>(
polynomial_size);
auto num_blocks_keybundle = input_lwe_ciphertext_count * lwe_chunk_size *
(glwe_dimension + 1) * (glwe_dimension + 1) *
level_count;
auto num_blocks_acc_step_one =
level_count * (glwe_dimension + 1) * input_lwe_ciphertext_count;
auto num_blocks_acc_step_two =
input_lwe_ciphertext_count * (glwe_dimension + 1);
auto num_blocks_acc_cg =
level_count * (glwe_dimension + 1) * input_lwe_ciphertext_count;
#if CUDA_ARCH >= 900
uint64_t full_sm_tbc_accumulate =
get_buffer_size_full_sm_tbc_multibit_programmable_bootstrap<Torus>(
polynomial_size);
uint64_t partial_sm_tbc_accumulate =
get_buffer_size_partial_sm_tbc_multibit_programmable_bootstrap<Torus>(
polynomial_size);
uint64_t minimum_sm_tbc =
get_buffer_size_sm_dsm_plus_tbc_multibit_programmable_bootstrap<Torus>(
polynomial_size);
auto num_blocks_acc_tbc = num_blocks_acc_cg;
#endif
if (allocate_gpu_memory) {
// Keybundle
if (max_shared_memory < full_sm_keybundle)
d_mem_keybundle = (int8_t *)cuda_malloc_async(
num_blocks_keybundle * full_sm_keybundle, stream, gpu_index);
switch (pbs_variant) {
case PBS_VARIANT::CG:
// Accumulator CG
if (max_shared_memory < partial_sm_cg_accumulate)
d_mem_acc_cg = (int8_t *)cuda_malloc_async(
num_blocks_acc_cg * full_sm_cg_accumulate, stream, gpu_index);
else if (max_shared_memory < full_sm_cg_accumulate)
d_mem_acc_cg = (int8_t *)cuda_malloc_async(
num_blocks_acc_cg * partial_sm_cg_accumulate, stream, gpu_index);
break;
case PBS_VARIANT::DEFAULT:
// Accumulator step one
if (max_shared_memory < partial_sm_accumulate_step_one)
d_mem_acc_step_one = (int8_t *)cuda_malloc_async(
num_blocks_acc_step_one * full_sm_accumulate_step_one, stream,
gpu_index);
else if (max_shared_memory < full_sm_accumulate_step_one)
d_mem_acc_step_one = (int8_t *)cuda_malloc_async(
num_blocks_acc_step_one * partial_sm_accumulate_step_one, stream,
gpu_index);
// Accumulator step two
if (max_shared_memory < full_sm_accumulate_step_two)
d_mem_acc_step_two = (int8_t *)cuda_malloc_async(
num_blocks_acc_step_two * full_sm_accumulate_step_two, stream,
gpu_index);
break;
#if CUDA_ARCH >= 900
case TBC:
// There is a minimum amount of memory we need to run the TBC PBS, which
// is minimum_sm_tbc. We know that minimum_sm_tbc bytes are available
// because otherwise the previous check would have redirected
// computation to some other variant. If over that we don't have more
// partial_sm_tbc_accumulate bytes, TBC PBS will run on NOSM. If we have
// partial_sm_tbc_accumulate but not full_sm_tbc_accumulate bytes, it
// will run on PARTIALSM. Otherwise, FULLSM.
//
// NOSM mode actually requires minimum_sm_tbc shared memory bytes.
// Accumulator TBC
if (max_shared_memory < partial_sm_tbc_accumulate + minimum_sm_tbc)
d_mem_acc_tbc = (int8_t *)cuda_malloc_async(
num_blocks_acc_tbc * full_sm_tbc_accumulate, stream, gpu_index);
else if (max_shared_memory < full_sm_tbc_accumulate + minimum_sm_tbc)
d_mem_acc_tbc = (int8_t *)cuda_malloc_async(
num_blocks_acc_tbc * partial_sm_tbc_accumulate, stream,
gpu_index);
break;
#endif
default:
PANIC("Cuda error (PBS): unsupported implementation variant.")
}
keybundle_fft = (double2 *)cuda_malloc_async(
num_blocks_keybundle * (polynomial_size / 2) * sizeof(double2),
stream, gpu_index);
global_accumulator = (Torus *)cuda_malloc_async(
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);
}
}
void release(cudaStream_t stream, uint32_t gpu_index) {
if (d_mem_keybundle)
cuda_drop_async(d_mem_keybundle, stream, gpu_index);
switch (pbs_variant) {
case DEFAULT:
if (d_mem_acc_step_one)
cuda_drop_async(d_mem_acc_step_one, stream, gpu_index);
if (d_mem_acc_step_two)
cuda_drop_async(d_mem_acc_step_two, stream, gpu_index);
break;
case CG:
if (d_mem_acc_cg)
cuda_drop_async(d_mem_acc_cg, stream, gpu_index);
break;
#if CUDA_ARCH >= 900
case TBC:
if (d_mem_acc_tbc)
cuda_drop_async(d_mem_acc_tbc, stream, gpu_index);
break;
#endif
default:
PANIC("Cuda error (PBS): unsupported implementation variant.")
}
cuda_drop_async(keybundle_fft, stream, gpu_index);
cuda_drop_async(global_accumulator, stream, gpu_index);
cuda_drop_async(global_accumulator_fft, stream, gpu_index);
}
};
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

@@ -10,8 +10,7 @@ set(SOURCES
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/keyswitch.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/linear_algebra.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/shifts.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/vertical_packing.h
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/helper_multi_gpu.h)
${CMAKE_SOURCE_DIR}/${INCLUDE_DIR}/vertical_packing.h)
file(GLOB_RECURSE SOURCES "*.cu")
add_library(tfhe_cuda_backend STATIC ${SOURCES})
set_target_properties(tfhe_cuda_backend PROPERTIES CUDA_SEPARABLE_COMPILATION ON CUDA_RESOLVE_DEVICE_SYMBOLS ON)

View File

@@ -1,77 +1 @@
#include "ciphertext.cuh"
#include "polynomial/parameters.cuh"
void cuda_convert_lwe_ciphertext_vector_to_gpu_64(void *stream,
uint32_t gpu_index,
void *dest, void *src,
uint32_t number_of_cts,
uint32_t lwe_dimension) {
cuda_convert_lwe_ciphertext_vector_to_gpu<uint64_t>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)dest,
(uint64_t *)src, number_of_cts, lwe_dimension);
}
void cuda_convert_lwe_ciphertext_vector_to_cpu_64(void *stream,
uint32_t gpu_index,
void *dest, void *src,
uint32_t number_of_cts,
uint32_t lwe_dimension) {
cuda_convert_lwe_ciphertext_vector_to_cpu<uint64_t>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)dest,
(uint64_t *)src, number_of_cts, lwe_dimension);
}
void cuda_glwe_sample_extract_64(void *stream, uint32_t gpu_index,
void *lwe_array_out, void *glwe_array_in,
uint32_t *nth_array, uint32_t num_glwes,
uint32_t glwe_dimension,
uint32_t polynomial_size) {
switch (polynomial_size) {
case 256:
host_sample_extract<uint64_t, AmortizedDegree<256>>(
static_cast<cudaStream_t>(stream), gpu_index, (uint64_t *)lwe_array_out,
(uint64_t *)glwe_array_in, (uint32_t *)nth_array, num_glwes,
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 *)glwe_array_in, (uint32_t *)nth_array, num_glwes,
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 *)glwe_array_in, (uint32_t *)nth_array, num_glwes,
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 *)glwe_array_in, (uint32_t *)nth_array, num_glwes,
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 *)glwe_array_in, (uint32_t *)nth_array, num_glwes,
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 *)glwe_array_in, (uint32_t *)nth_array, num_glwes,
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 *)glwe_array_in, (uint32_t *)nth_array, num_glwes,
glwe_dimension);
break;
default:
PANIC("Cuda error: unsupported polynomial size. Supported "
"N's are powers of two in the interval [256..16384].")
}
}

View File

@@ -3,62 +3,42 @@
#include "ciphertext.h"
#include "device.h"
#include "polynomial/functions.cuh"
#include <cstdint>
template <typename T>
void cuda_convert_lwe_ciphertext_vector_to_gpu(cudaStream_t stream,
uint32_t gpu_index, T *dest,
T *src, uint32_t number_of_cts,
void cuda_convert_lwe_ciphertext_vector_to_gpu(T *dest, T *src,
cuda_stream_t *stream,
uint32_t number_of_cts,
uint32_t lwe_dimension) {
cudaSetDevice(gpu_index);
cudaSetDevice(stream->gpu_index);
uint64_t size = number_of_cts * (lwe_dimension + 1) * sizeof(T);
cuda_memcpy_async_to_gpu(dest, src, size, stream, gpu_index);
cuda_memcpy_async_to_gpu(dest, src, size, stream);
}
void cuda_convert_lwe_ciphertext_vector_to_gpu_64(void *dest, void *src,
cuda_stream_t *stream,
uint32_t number_of_cts,
uint32_t lwe_dimension) {
cuda_convert_lwe_ciphertext_vector_to_gpu<uint64_t>(
(uint64_t *)dest, (uint64_t *)src, stream, number_of_cts, lwe_dimension);
}
template <typename T>
void cuda_convert_lwe_ciphertext_vector_to_cpu(cudaStream_t stream,
uint32_t gpu_index, T *dest,
T *src, uint32_t number_of_cts,
void cuda_convert_lwe_ciphertext_vector_to_cpu(T *dest, T *src,
cuda_stream_t *stream,
uint32_t number_of_cts,
uint32_t lwe_dimension) {
cudaSetDevice(gpu_index);
cudaSetDevice(stream->gpu_index);
uint64_t size = number_of_cts * (lwe_dimension + 1) * sizeof(T);
cuda_memcpy_async_to_cpu(dest, src, size, stream, gpu_index);
cuda_memcpy_async_to_cpu(dest, src, size, stream);
}
template <typename Torus, class params>
__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;
const int glwe_input_size = (glwe_dimension + 1) * params::degree;
const int lwe_output_size = glwe_dimension * params::degree + 1;
auto lwe_out = lwe_array_out + input_id * lwe_output_size;
// We assume each GLWE will store the first polynomial_size inputs
uint32_t nth_per_glwe = params::degree;
auto glwe_in = glwe_array_in + (input_id / nth_per_glwe) * glwe_input_size;
auto nth = nth_array[input_id];
sample_extract_mask<Torus, params>(lwe_out, glwe_in, glwe_dimension, nth);
sample_extract_body<Torus, params>(lwe_out, glwe_in, glwe_dimension, nth);
}
template <typename Torus, class params>
__host__ void host_sample_extract(cudaStream_t stream, uint32_t gpu_index,
Torus *lwe_array_out, Torus *glwe_array_in,
uint32_t *nth_array, uint32_t num_glwes,
uint32_t glwe_dimension) {
cudaSetDevice(gpu_index);
dim3 grid(num_glwes);
dim3 thds(params::degree / params::opt);
sample_extract<Torus, params><<<grid, thds, 0, stream>>>(
lwe_array_out, glwe_array_in, nth_array, glwe_dimension);
check_cuda_error(cudaGetLastError());
void cuda_convert_lwe_ciphertext_vector_to_cpu_64(void *dest, void *src,
cuda_stream_t *stream,
uint32_t number_of_cts,
uint32_t lwe_dimension) {
cuda_convert_lwe_ciphertext_vector_to_cpu<uint64_t>(
(uint64_t *)dest, (uint64_t *)src, stream, number_of_cts, lwe_dimension);
}
#endif

View File

@@ -20,7 +20,9 @@ private:
uint32_t level_count;
uint32_t base_log;
uint32_t mask;
uint32_t halfbg;
uint32_t num_poly;
T offset;
int current_level;
T mask_mod_b;
T *state;
@@ -80,12 +82,72 @@ public:
synchronize_threads_in_block();
}
// Decomposes a single polynomial
__device__ void
decompose_and_compress_next_polynomial_elements(double2 *result, int j) {
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++) {
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);
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;
result[i].x = (int32_t)res_re;
result[i].y = (int32_t)res_im;
tid += params::degree / params::opt;
}
synchronize_threads_in_block();
}
__device__ void decompose_and_compress_level(double2 *result, int level) {
for (int i = 0; i < level_count - level; i++)
decompose_and_compress_next(result);
}
};
template <typename T> class GadgetMatrixSingle {
private:
uint32_t level_count;
uint32_t base_log;
uint32_t mask;
uint32_t halfbg;
T offset;
public:
__device__ GadgetMatrixSingle(uint32_t base_log, uint32_t level_count)
: base_log(base_log), level_count(level_count) {
uint32_t bg = 1 << base_log;
this->halfbg = bg / 2;
this->mask = bg - 1;
T temp = 0;
for (int i = 0; i < this->level_count; i++) {
temp += 1ULL << (sizeof(T) * 8 - (i + 1) * this->base_log);
}
this->offset = temp * this->halfbg;
}
__device__ T decompose_one_level_single(T element, uint32_t level) {
T s = element + this->offset;
uint32_t decal = (sizeof(T) * 8 - (level + 1) * this->base_log);
T temp1 = (s >> decal) & this->mask;
return (T)(temp1 - this->halfbg);
}
};
template <typename Torus>
__device__ Torus decompose_one(Torus &state, Torus mask_mod_b, int base_log) {
Torus res = state & mask_mod_b;

View File

@@ -49,15 +49,11 @@ __global__ void device_batch_fft_ggsw_vector(double2 *dest, T *src,
* global memory
*/
template <typename T, typename ST, class params>
void batch_fft_ggsw_vector(cudaStream_t *streams, uint32_t *gpu_indexes,
uint32_t gpu_count, double2 *dest, T *src,
void batch_fft_ggsw_vector(cuda_stream_t *stream, double2 *dest, T *src,
int8_t *d_mem, uint32_t r, uint32_t glwe_dim,
uint32_t polynomial_size, uint32_t level_count,
uint32_t max_shared_memory) {
if (gpu_count != 1)
PANIC("GPU error (batch_fft_ggsw_vector): multi-GPU execution is not "
"supported yet.")
cudaSetDevice(gpu_indexes[0]);
uint32_t gpu_index, uint32_t max_shared_memory) {
cudaSetDevice(stream->gpu_index);
int shared_memory_size = sizeof(double) * polynomial_size;
@@ -66,11 +62,11 @@ void batch_fft_ggsw_vector(cudaStream_t *streams, uint32_t *gpu_indexes,
if (max_shared_memory < shared_memory_size) {
device_batch_fft_ggsw_vector<T, ST, params, NOSM>
<<<gridSize, blockSize, 0, streams[0]>>>(dest, src, d_mem);
<<<gridSize, blockSize, 0, stream->stream>>>(dest, src, d_mem);
} else {
device_batch_fft_ggsw_vector<T, ST, params, FULLSM>
<<<gridSize, blockSize, shared_memory_size, streams[0]>>>(dest, src,
d_mem);
<<<gridSize, blockSize, shared_memory_size, stream->stream>>>(dest, src,
d_mem);
}
check_cuda_error(cudaGetLastError());
}

View File

@@ -6,13 +6,12 @@
* Head out to the equivalent operation on 64 bits for more details.
*/
void cuda_keyswitch_lwe_ciphertext_vector_32(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *lwe_output_indexes, void *lwe_array_in, void *lwe_input_indexes,
void *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples) {
cuda_stream_t *stream, void *lwe_array_out, void *lwe_output_indexes,
void *lwe_array_in, void *lwe_input_indexes, void *ksk,
uint32_t lwe_dimension_in, uint32_t lwe_dimension_out, uint32_t base_log,
uint32_t level_count, uint32_t num_samples) {
cuda_keyswitch_lwe_ciphertext_vector(
static_cast<cudaStream_t>(stream), gpu_index,
static_cast<uint32_t *>(lwe_array_out),
stream, static_cast<uint32_t *>(lwe_array_out),
static_cast<uint32_t *>(lwe_output_indexes),
static_cast<uint32_t *>(lwe_array_in),
static_cast<uint32_t *>(lwe_input_indexes), static_cast<uint32_t *>(ksk),
@@ -36,13 +35,12 @@ void cuda_keyswitch_lwe_ciphertext_vector_32(
* - num_samples blocks of threads are launched
*/
void cuda_keyswitch_lwe_ciphertext_vector_64(
void *stream, uint32_t gpu_index, void *lwe_array_out,
void *lwe_output_indexes, void *lwe_array_in, void *lwe_input_indexes,
void *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples) {
cuda_stream_t *stream, void *lwe_array_out, void *lwe_output_indexes,
void *lwe_array_in, void *lwe_input_indexes, void *ksk,
uint32_t lwe_dimension_in, uint32_t lwe_dimension_out, uint32_t base_log,
uint32_t level_count, uint32_t num_samples) {
cuda_keyswitch_lwe_ciphertext_vector(
static_cast<cudaStream_t>(stream), gpu_index,
static_cast<uint64_t *>(lwe_array_out),
stream, static_cast<uint64_t *>(lwe_array_out),
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),

View File

@@ -3,11 +3,8 @@
#include "device.h"
#include "gadget.cuh"
#include "helper_multi_gpu.h"
#include "polynomial/functions.cuh"
#include "polynomial/polynomial_math.cuh"
#include "torus.cuh"
#include "utils/kernel_dimensions.cuh"
#include <thread>
#include <vector>
@@ -34,124 +31,110 @@ __device__ Torus *get_ith_block(Torus *ksk, int i, int level,
* scaling factor) under key s2 instead of s1, with an increased noise
*
*/
// Each thread in x are used to calculate one output.
// threads in y are used to paralelize the lwe_dimension_in loop.
// shared memory is used to store intermediate results of the reduction.
template <typename Torus>
__global__ void
keyswitch(Torus *lwe_array_out, const Torus *__restrict__ lwe_output_indexes,
const Torus *__restrict__ lwe_array_in,
const Torus *__restrict__ lwe_input_indexes,
const Torus *__restrict__ ksk, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log, uint32_t level_count) {
const int tid = threadIdx.x + blockIdx.x * blockDim.x;
const int shmem_index = threadIdx.x + threadIdx.y * blockDim.x;
keyswitch(Torus *lwe_array_out, Torus *lwe_output_indexes, Torus *lwe_array_in,
Torus *lwe_input_indexes, Torus *ksk, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log, uint32_t level_count,
int lwe_lower, int lwe_upper, int cutoff) {
int tid = threadIdx.x;
extern __shared__ int8_t sharedmem[];
Torus *lwe_acc_out = (Torus *)sharedmem;
Torus *local_lwe_array_out = (Torus *)sharedmem;
auto block_lwe_array_in = get_chunk(
lwe_array_in, lwe_input_indexes[blockIdx.x], lwe_dimension_in + 1);
auto block_lwe_array_out = get_chunk(
lwe_array_out, lwe_output_indexes[blockIdx.y], lwe_dimension_out + 1);
lwe_array_out, lwe_output_indexes[blockIdx.x], lwe_dimension_out + 1);
if (tid <= lwe_dimension_out) {
auto gadget = GadgetMatrixSingle<Torus>(base_log, level_count);
Torus local_lwe_out = 0;
auto block_lwe_array_in = get_chunk(
lwe_array_in, lwe_input_indexes[blockIdx.y], lwe_dimension_in + 1);
int lwe_part_per_thd;
if (tid < cutoff) {
lwe_part_per_thd = lwe_upper;
} else {
lwe_part_per_thd = lwe_lower;
}
__syncthreads();
if (tid == lwe_dimension_out && threadIdx.y == 0) {
local_lwe_out = block_lwe_array_in[lwe_dimension_in];
}
const Torus mask_mod_b = (1ll << base_log) - 1ll;
for (int k = 0; k < lwe_part_per_thd; k++) {
int idx = tid + k * blockDim.x;
local_lwe_array_out[idx] = 0;
}
__syncthreads();
const int pack_size = (lwe_dimension_in + blockDim.y - 1) / blockDim.y;
const int start_i = pack_size * threadIdx.y;
const int end_i = SEL(lwe_dimension_in, pack_size * (threadIdx.y + 1),
pack_size * (threadIdx.y + 1) <= lwe_dimension_in);
// This loop distribution seems to benefit the global mem reads
for (int i = start_i; i < end_i; i++) {
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 =
get_ith_block(ksk, i, j, lwe_dimension_out, level_count);
Torus decomposed = decompose_one<Torus>(state, mask_mod_b, base_log);
local_lwe_out -= (Torus)ksk_block[tid] * decomposed;
}
}
lwe_acc_out[shmem_index] = local_lwe_out;
if (tid == 0) {
local_lwe_array_out[lwe_dimension_out] =
block_lwe_array_in[lwe_dimension_in];
}
if (tid <= lwe_dimension_out) {
for (int offset = blockDim.y / 2; offset > 0 && threadIdx.y < offset;
offset /= 2) {
__syncthreads();
lwe_acc_out[shmem_index] +=
lwe_acc_out[shmem_index + offset * blockDim.x];
for (int i = 0; i < lwe_dimension_in; i++) {
__syncthreads();
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);
Torus mask_mod_b = (1ll << base_log) - 1ll;
for (int j = 0; j < level_count; j++) {
auto ksk_block = get_ith_block(ksk, i, j, lwe_dimension_out, level_count);
Torus decomposed = decompose_one<Torus>(state, mask_mod_b, base_log);
for (int k = 0; k < lwe_part_per_thd; k++) {
int idx = tid + k * blockDim.x;
local_lwe_array_out[idx] -= (Torus)ksk_block[idx] * decomposed;
}
}
if (threadIdx.y == 0)
block_lwe_array_out[tid] = lwe_acc_out[shmem_index];
}
for (int k = 0; k < lwe_part_per_thd; k++) {
int idx = tid + k * blockDim.x;
block_lwe_array_out[idx] = local_lwe_array_out[idx];
}
}
/// assume lwe_array_in in the gpu
template <typename Torus>
__host__ void cuda_keyswitch_lwe_ciphertext_vector(
cudaStream_t stream, uint32_t gpu_index, Torus *lwe_array_out,
Torus *lwe_output_indexes, Torus *lwe_array_in, Torus *lwe_input_indexes,
Torus *ksk, uint32_t lwe_dimension_in, uint32_t lwe_dimension_out,
uint32_t base_log, uint32_t level_count, uint32_t num_samples) {
cuda_stream_t *stream, Torus *lwe_array_out, Torus *lwe_output_indexes,
Torus *lwe_array_in, Torus *lwe_input_indexes, Torus *ksk,
uint32_t lwe_dimension_in, uint32_t lwe_dimension_out, uint32_t base_log,
uint32_t level_count, uint32_t num_samples) {
cudaSetDevice(gpu_index);
cudaSetDevice(stream->gpu_index);
constexpr int ideal_threads = 128;
constexpr int num_threads_y = 32;
int num_blocks, num_threads_x;
int lwe_size = lwe_dimension_out + 1;
int lwe_lower, lwe_upper, cutoff;
if (lwe_size % ideal_threads == 0) {
lwe_lower = lwe_size / ideal_threads;
lwe_upper = lwe_size / ideal_threads;
cutoff = 0;
} else {
int y = ceil((double)lwe_size / (double)ideal_threads) * ideal_threads -
lwe_size;
cutoff = ideal_threads - y;
lwe_lower = lwe_size / ideal_threads;
lwe_upper = (int)ceil((double)lwe_size / (double)ideal_threads);
}
getNumBlocksAndThreads2D(lwe_dimension_out + 1, 512, num_threads_y,
num_blocks, num_threads_x);
int lwe_size_after = lwe_size * num_samples;
int shared_mem = sizeof(Torus) * num_threads_y * num_threads_x;
dim3 grid(num_blocks, num_samples, 1);
dim3 threads(num_threads_x, num_threads_y, 1);
int shared_mem = sizeof(Torus) * lwe_size;
keyswitch<Torus><<<grid, threads, shared_mem, stream>>>(
cuda_memset_async(lwe_array_out, 0, sizeof(Torus) * lwe_size_after, stream);
check_cuda_error(cudaGetLastError());
dim3 grid(num_samples, 1, 1);
dim3 threads(ideal_threads, 1, 1);
keyswitch<Torus><<<grid, threads, shared_mem, stream->stream>>>(
lwe_array_out, lwe_output_indexes, lwe_array_in, lwe_input_indexes, ksk,
lwe_dimension_in, lwe_dimension_out, base_log, level_count);
lwe_dimension_in, lwe_dimension_out, base_log, level_count, lwe_lower,
lwe_upper, cutoff);
check_cuda_error(cudaGetLastError());
}
template <typename Torus>
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 **ksks, uint32_t lwe_dimension_in,
uint32_t lwe_dimension_out, uint32_t base_log,
uint32_t level_count, uint32_t num_samples) {
/// If the number of radix blocks is lower than the number of GPUs, not all
/// GPUs will be active and there will be 1 input per GPU
for (uint i = 0; i < gpu_count; i++) {
int num_samples_on_gpu = get_num_inputs_on_gpu(num_samples, i, gpu_count);
Torus *current_lwe_array_out = GET_VARIANT_ELEMENT(lwe_array_out, i);
Torus *current_lwe_output_indexes =
GET_VARIANT_ELEMENT(lwe_output_indexes, i);
Torus *current_lwe_array_in = GET_VARIANT_ELEMENT(lwe_array_in, i);
Torus *current_lwe_input_indexes =
GET_VARIANT_ELEMENT(lwe_input_indexes, i);
// Compute Keyswitch
cuda_keyswitch_lwe_ciphertext_vector<Torus>(
streams[i], gpu_indexes[i], current_lwe_array_out,
current_lwe_output_indexes, current_lwe_array_in,
current_lwe_input_indexes, ksks[i], lwe_dimension_in, lwe_dimension_out,
base_log, level_count, num_samples_on_gpu);
}
}
#endif

View File

@@ -39,19 +39,36 @@ __device__ inline T round_to_closest_multiple(T x, uint32_t base_log,
}
template <typename T>
__device__ __forceinline__ void modulus_switch(T input, T &output,
uint32_t log_modulus) {
constexpr uint32_t BITS = sizeof(T) * 8;
output = input + (((T)1) << (BITS - log_modulus - 1));
output >>= (BITS - log_modulus);
__device__ __forceinline__ void rescale_torus_element(T element, T &output,
uint32_t log_shift) {
output =
round((double)element / (double(std::numeric_limits<T>::max()) + 1.0) *
(double)log_shift);
}
template <typename T>
__device__ __forceinline__ T modulus_switch(T input, uint32_t log_modulus) {
T output;
modulus_switch(input, output, log_modulus);
return output;
__device__ __forceinline__ T rescale_torus_element(T element,
uint32_t log_shift) {
return round((double)element / (double(std::numeric_limits<T>::max()) + 1.0) *
(double)log_shift);
}
template <>
__device__ __forceinline__ void
rescale_torus_element<uint32_t>(uint32_t element, uint32_t &output,
uint32_t log_shift) {
output =
round(__uint2double_rn(element) /
(__uint2double_rn(std::numeric_limits<uint32_t>::max()) + 1.0) *
__uint2double_rn(log_shift));
}
template <>
__device__ __forceinline__ void
rescale_torus_element<uint64_t>(uint64_t element, uint64_t &output,
uint32_t log_shift) {
output = round(__ull2double_rn(element) /
(__ull2double_rn(std::numeric_limits<uint64_t>::max()) + 1.0) *
__uint2double_rn(log_shift));
}
#endif // CNCRT_TORUS_H

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