Compare commits

..

9 Commits

Author SHA1 Message Date
Guillermo Oyarzun
7e1b77c564 chore(gpu): testing2 a 2025-09-21 14:43:31 +02:00
Guillermo Oyarzun
f025c165d8 lala 2025-09-21 14:22:25 +02:00
Guillermo Oyarzun
1fe0bb1727 chore(gpu): test silly comment 2025-09-21 14:19:35 +02:00
Nicolas Sarlin
4a73b7bb4b fix(versionable): use full type path in proc macro
This avoids name clashes if user re-defines the type
2025-09-19 16:03:56 +02:00
Guillermo Oyarzun
022cb3b18a fix(gpu): avoid out of memory when benchmarking throughput 2025-09-19 14:44:12 +02:00
David Testé
c4feabbfa3 chore(ci): revert package-lock.json 2025-09-19 09:30:15 +02:00
David Testé
3c6ed37a18 chore(ci): factorize release workflows by using a sub-workflow 2025-09-18 17:52:34 +02:00
Agnes Leroy
fe6e81ff78 chore(gpu): post hackathon cleanup 2025-09-18 16:30:45 +02:00
Andrei Stoian
87c0d646a4 fix(gpu): coprocessor bench 2025-09-18 13:56:55 +02:00
43 changed files with 542 additions and 1440 deletions

View File

@@ -21,20 +21,20 @@ env:
permissions: { }
jobs:
verify-actor:
verify-triggering-actor:
name: benchmark_perf_regression/verify-actor
if: (github.event_name == 'pull_request' &&
(contains(github.event.label.name, 'bench-perfs-cpu') ||
contains(github.event.label.name, 'bench-perfs-gpu'))) ||
(github.event.issue.pull_request && startsWith(github.event.comment.body, '/bench'))
uses: ./.github/workflows/verify_commit_actor.yml
uses: ./.github/workflows/verify_triggering_actor.yml
secrets:
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
prepare-benchmarks:
name: benchmark_perf_regression/prepare-benchmarks
needs: verify-actor
needs: verify-triggering-actor
runs-on: ubuntu-latest
outputs:
commands: ${{ steps.set_commands.outputs.commands }}

View File

@@ -3,6 +3,22 @@ name: coprocessor-benchmark-gpu
on:
workflow_dispatch:
inputs:
profile:
description: "Instance type"
required: true
type: choice
options:
- "l40 (n3-L40x1)"
- "4-l40 (n3-L40x4)"
- "single-h100 (n3-H100x1)"
- "2-h100 (n3-H100x2)"
- "4-h100 (n3-H100x4)"
- "multi-h100 (n3-H100x8)"
- "multi-h100-nvlink (n3-H100x8-NVLink)"
- "multi-h100-sxm5 (n3-H100x8-SXM5)"
- "multi-h100-sxm5_fallback (n3-H100x8-SXM5)"
schedule:
# Weekly tests @ 1AM
- cron: "0 1 * * 6"
@@ -17,7 +33,9 @@ env:
RUST_BACKTRACE: "full"
RUST_MIN_STACK: "8388608"
CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN || secrets.GITHUB_TOKEN }}
PROFILE: "multi-h100-sxm5 (n3-H100x8-SXM5)"
PROFILE_SCHEDULED_RUN: "multi-h100-sxm5 (n3-H100x8-SXM5)"
PROFILE_MANUAL_RUN: ${{ inputs.profile }}
IS_MANUAL_RUN: ${{ github.event_name == 'workflow_dispatch' }}
BENCHMARK_TYPE: "ALL"
OPTIMIZATION_TARGET: "throughput"
BATCH_SIZE: "5000"
@@ -40,15 +58,25 @@ jobs:
- name: Parse profile
id: parse_profile
run: |
if [[ ${IS_MANUAL_RUN} == true ]]; then
PROFILE_RAW="${PROFILE_MANUAL_RUN}"
else
PROFILE_RAW="${PROFILE_SCHEDULED_RUN}"
fi
# shellcheck disable=SC2001
PROFILE_VAL=$(echo "${PROFILE}" | sed 's|\(.*\)[[:space:]](.*)|\1|')
PROFILE_VAL=$(echo "${PROFILE_RAW}" | sed 's|\(.*\)[[:space:]](.*)|\1|')
echo "profile=$PROFILE_VAL" >> "${GITHUB_OUTPUT}"
- name: Parse hardware name
id: parse_hardware_name
run: |
if [[ ${IS_MANUAL_RUN} == true ]]; then
PROFILE_RAW="${PROFILE_MANUAL_RUN}"
else
PROFILE_RAW="${PROFILE}"
fi
# shellcheck disable=SC2001
PROFILE_VAL=$(echo "${PROFILE}" | sed 's|.*[[:space:]](\(.*\))|\1|')
PROFILE_VAL=$(echo "${PROFILE_RAW}" | sed 's|.*[[:space:]](\(.*\))|\1|')
echo "name=$PROFILE_VAL" >> "${GITHUB_OUTPUT}"
setup-instance:
@@ -130,6 +158,13 @@ jobs:
} >> "${GITHUB_ENV}"
working-directory: tfhe-rs/
- name: Setup Hyperstack dependencies
uses: ./tfhe-rs/.github/actions/gpu_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
github-instance: ${{ env.SECRETS_AVAILABLE == 'false' }}
- name: Check fhEVM and TFHE-rs repos
run: |
pwd
@@ -140,13 +175,6 @@ jobs:
run: git lfs checkout
working-directory: fhevm/
- name: Setup Hyperstack dependencies
uses: ./fhevm/.github/actions/gpu_setup
with:
cuda-version: ${{ matrix.cuda }}
gcc-version: ${{ matrix.gcc }}
github-instance: ${{ env.SECRETS_AVAILABLE == 'false' }}
- name: Install rust
uses: dtolnay/rust-toolchain@e97e2d8cc328f1b50210efc529dca0028893a2d9 # zizmor: ignore[stale-action-refs] this action doesn't create releases
with:
@@ -154,7 +182,7 @@ jobs:
- name: Install cargo dependencies
run: |
sudo apt-get install -y protobuf-compiler cmake pkg-config libssl-dev \
sudo apt-get install -y protobuf-compiler pkg-config libssl-dev \
libclang-dev docker-compose-v2 docker.io acl
sudo usermod -aG docker "$USER"
newgrp docker
@@ -181,9 +209,16 @@ jobs:
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Login to Chainguard Registry
uses: docker/login-action@9780b0c442fbb1117ed29e0efdff1e18412f7567 # v3.3.0
with:
registry: cgr.dev
username: ${{ secrets.CGR_USERNAME }}
password: ${{ secrets.CGR_PASSWORD }}
- name: Init database
run: make init_db
working-directory: fhevm/coprocessor/fhevm-engine/coprocessor
working-directory: fhevm/coprocessor/fhevm-engine/tfhe-worker
- name: Use Node.js
uses: actions/setup-node@a0853c24544627f65ddf259abe73b1d18a591444 # v5.0.0
@@ -203,8 +238,12 @@ jobs:
- name: Profile erc20 no-cmux benchmark on GPU
run: |
BENCHMARK_BATCH_SIZE="${BATCH_SIZE}" FHEVM_DF_SCHEDULE="${SCHEDULING_POLICY}" BENCHMARK_TYPE="LATENCY" OPTIMIZATION_TARGET="${OPTIMIZATION_TARGET}" make -e "profile_erc20_gpu"
working-directory: fhevm/coprocessor/fhevm-engine/coprocessor
BENCHMARK_BATCH_SIZE="${BATCH_SIZE}" \
FHEVM_DF_SCHEDULE="${SCHEDULING_POLICY}" \
BENCHMARK_TYPE="THROUGHPUT_200" \
OPTIMIZATION_TARGET="${OPTIMIZATION_TARGET}" \
make -e "profile_erc20_gpu"
working-directory: fhevm/coprocessor/fhevm-engine/tfhe-worker
- name: Get nsys profile name
id: nsys_profile_name
@@ -215,7 +254,7 @@ jobs:
REPORT_NAME: ${{ steps.nsys_profile_name.outputs.profile }}
run: |
mv report1.nsys-rep ${{ env.REPORT_NAME }}
working-directory: fhevm/coprocessor/fhevm-engine/coprocessor
working-directory: fhevm/coprocessor/fhevm-engine/tfhe-worker
- name: Upload profile artifact
env:
@@ -223,17 +262,17 @@ jobs:
uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02
with:
name: ${{ env.REPORT_NAME }}
path: fhevm/coprocessor/fhevm-engine/coprocessor/${{ env.REPORT_NAME }}
path: fhevm/coprocessor/fhevm-engine/tfhe-worker/${{ env.REPORT_NAME }}
- name: Run latency benchmark on GPU
run: |
BENCHMARK_BATCH_SIZE="${BATCH_SIZE}" FHEVM_DF_SCHEDULE="${SCHEDULING_POLICY}" BENCHMARK_TYPE="LATENCY" OPTIMIZATION_TARGET="${OPTIMIZATION_TARGET}" make -e "benchmark_${BENCHMARKS}_gpu"
working-directory: fhevm/coprocessor/fhevm-engine/coprocessor
working-directory: fhevm/coprocessor/fhevm-engine/tfhe-worker
- name: Run throughput benchmarks on GPU
run: |
BENCHMARK_BATCH_SIZE="${BATCH_SIZE}" FHEVM_DF_SCHEDULE="${SCHEDULING_POLICY}" BENCHMARK_TYPE="THROUGHPUT_200" OPTIMIZATION_TARGET="${OPTIMIZATION_TARGET}" make -e "benchmark_${BENCHMARKS}_gpu"
working-directory: fhevm/coprocessor/fhevm-engine/coprocessor
working-directory: fhevm/coprocessor/fhevm-engine/tfhe-worker
- name: Parse results
run: |
@@ -246,7 +285,7 @@ jobs:
--commit-date "${COMMIT_DATE}" \
--bench-date "${BENCH_DATE}" \
--walk-subdirs \
--crate "coprocessor/fhevm-engine/coprocessor" \
--crate "coprocessor/fhevm-engine/tfhe-worker" \
--name-suffix "operation_batch_size_${BATCH_SIZE}-schedule_${SCHEDULING_POLICY}-optimization_target_${OPTIMIZATION_TARGET}"
working-directory: fhevm/

View File

@@ -86,7 +86,7 @@ jobs:
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: multi-gpu-test
profile: 4-l40
# This instance will be spawned especially for pull-request from forked repository
- name: Start GitHub instance

View File

@@ -43,7 +43,7 @@ jobs:
slab-url: ${{ secrets.SLAB_BASE_URL }}
job-secret: ${{ secrets.JOB_SECRET }}
backend: hyperstack
profile: multi-gpu-test
profile: 4-l40
cuda-tests:
name: gpu_integer_long_run_tests/cuda-tests

View File

@@ -1,33 +1,31 @@
# Publish new release of tfhe-rs on various platform.
name: make_release
# Common workflow to make crate release
name: make_release_common
on:
workflow_dispatch:
workflow_call:
inputs:
dry_run:
description: "Dry-run"
package-name:
type: string
required: true
dry-run:
type: boolean
default: true
push_to_crates:
description: "Push to crate"
type: boolean
default: true
push_web_package:
description: "Push web js package"
type: boolean
default: true
push_node_package:
description: "Push node js package"
type: boolean
default: true
npm_latest_tag:
description: "Set NPM tag as latest"
type: boolean
default: false
secrets:
REPO_CHECKOUT_TOKEN:
required: true
SLACK_CHANNEL:
required: true
BOT_USERNAME:
required: true
SLACK_WEBHOOK:
required: true
ALLOWED_TEAM:
required: true
READ_ORG_TOKEN:
required: true
env:
ACTION_RUN_URL: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
NPM_TAG: ""
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_ICON: https://pbs.twimg.com/profile_images/1274014582265298945/OjBKP9kn_400x400.png
SLACK_USERNAME: ${{ secrets.BOT_USERNAME }}
@@ -36,18 +34,18 @@ env:
permissions: {}
jobs:
verify-tag:
name: make_release/verify-tag
verify-triggering-actor:
name: make_release_common/verify-triggering-actor
if: startsWith(github.ref, 'refs/tags/')
uses: ./.github/workflows/verify_commit_actor.yml
uses: ./.github/workflows/verify_triggering_actor.yml
secrets:
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
ALLOWED_TEAM: ${{ secrets.ALLOWED_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
package:
name: make_release/package
name: make_release_common/package
runs-on: ubuntu-latest
needs: verify-tag
needs: verify-triggering-actor
outputs:
hash: ${{ steps.hash.outputs.hash }}
steps:
@@ -58,20 +56,23 @@ jobs:
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Prepare package
env:
PACKAGE: ${{ inputs.package-name }}
run: |
cargo package -p tfhe
cargo package -p "${PACKAGE}"
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: crate
name: crate-${{ inputs.package-name }}
path: target/package/*.crate
- name: generate hash
id: hash
run: cd target/package && echo "hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance:
name: make_release/provenance
if: ${{ !inputs.dry_run }}
needs: [package]
name: make_release_common/provenance
if: ${{ !inputs.dry-run }}
needs: package
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v2.1.0
permissions:
# Needed to detect the GitHub Actions environment
@@ -84,14 +85,14 @@ jobs:
# SHA-256 hashes of the Crate package.
base64-subjects: ${{ needs.package.outputs.hash }}
publish_release:
name: make_release/publish_release
needs: [package] # for comparing hashes
name: make_release_common/publish-release
needs: package
runs-on: ubuntu-latest
# For provenance of npmjs publish
permissions:
contents: read
id-token: write # also needed for OIDC token exchange on crates.io
# Needed for OIDC token exchange on crates.io
id-token: write
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
@@ -99,28 +100,27 @@ jobs:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Create NPM version tag
if: ${{ inputs.npm_latest_tag }}
run: |
echo "NPM_TAG=latest" >> "${GITHUB_ENV}"
- name: Download artifact
uses: actions/download-artifact@634f93cb2916e3fdff6788551b99b062d0335ce0 # v5.0.0
with:
name: crate
name: crate-${{ inputs.package-name }}
path: target/package
- name: Authenticate on registry
uses: rust-lang/crates-io-auth-action@e919bc7605cde86df457cf5b93c5e103838bd879 # v1.0.1
id: auth
- name: Publish crate.io package
if: ${{ inputs.push_to_crates }}
env:
CARGO_REGISTRY_TOKEN: ${{ steps.auth.outputs.token }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
PACKAGE: ${{ inputs.package-name }}
DRY_RUN: ${{ inputs.dry-run && '--dry-run' || '' }}
run: |
# DRY_RUN expansion cannot be double quoted when variable contains empty string otherwise cargo publish
# DRY_RUN expansion cannot be double quoted when variable contains empty string otherwise cargo publish
# would fail. This is safe since DRY_RUN is handled in the env section above.
# shellcheck disable=SC2086
cargo publish -p tfhe ${DRY_RUN}
cargo publish -p "${PACKAGE}" ${DRY_RUN}
- name: Generate hash
id: published_hash
@@ -132,45 +132,12 @@ jobs:
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: failure
SLACK_MESSAGE: "SLSA tfhe crate - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
- name: Build web package
if: ${{ inputs.push_web_package }}
run: |
make build_web_js_api_parallel
- name: Publish web package
if: ${{ inputs.push_web_package }}
uses: JS-DevTools/npm-publish@19c28f1ef146469e409470805ea4279d47c3d35c
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 }}
run: |
rm -rf tfhe/pkg
make build_node_js_api
sed -i 's/"tfhe"/"node-tfhe"/g' tfhe/pkg/package.json
- name: Publish Node package
if: ${{ inputs.push_node_package }}
uses: JS-DevTools/npm-publish@19c28f1ef146469e409470805ea4279d47c3d35c
with:
token: ${{ secrets.NPM_TOKEN }}
package: tfhe/pkg/package.json
dry-run: ${{ inputs.dry_run }}
tag: ${{ env.NPM_TAG }}
provenance: true
SLACK_MESSAGE: "SLSA ${{ inputs.package-name }} - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
- name: Slack Notification
if: ${{ failure() || (cancelled() && github.event_name != 'pull_request') }}
if: ${{ failure() }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe release failed: (${{ env.ACTION_RUN_URL }})"
SLACK_MESSAGE: "${{ inputs.package-name }} release finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -18,17 +18,17 @@ env:
permissions: {}
jobs:
verify-tag:
name: make_release_cuda/verify-tag
verify-triggering-actor:
name: make_release_cuda/verify-triggering-actor
if: startsWith(github.ref, 'refs/tags/')
uses: ./.github/workflows/verify_commit_actor.yml
uses: ./.github/workflows/verify_triggering_actor.yml
secrets:
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
setup-instance:
name: make_release_cuda/setup-instance
needs: verify-tag
needs: verify-triggering-actor
runs-on: ubuntu-latest
outputs:
runner-name: ${{ steps.start-instance.outputs.label }}

View File

@@ -18,99 +18,16 @@ env:
permissions: {}
jobs:
verify-tag:
name: make_release_hpu/verify-tag
if: startsWith(github.ref, 'refs/tags/')
uses: ./.github/workflows/verify_commit_actor.yml
make-release:
name: make_release_hpu/make-release
uses: ./.github/workflows/make_release_common.yml
with:
package-name: "tfhe-hpu-backend"
dry-run: ${{ inputs.dry_run }}
secrets:
BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
package:
name: make_release_hpu/package
runs-on: ubuntu-latest
needs: verify-tag
outputs:
hash: ${{ steps.hash.outputs.hash }}
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Prepare package
run: |
cargo package -p tfhe-hpu-backend
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: crate
path: target/package/*.crate
- name: generate hash
id: hash
run: cd target/package && echo "hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance:
name: make_release_hpu/provenance
if: ${{ !inputs.dry_run }}
needs: [package]
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v2.1.0
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: make_release_hpu/publish-release
runs-on: ubuntu-latest
needs: [verify-tag, package] # for comparing hashes
permissions:
# Needed for OIDC token exchange on crates.io
id-token: write
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Authenticate on registry
uses: rust-lang/crates-io-auth-action@e919bc7605cde86df457cf5b93c5e103838bd879 # v1.0.1
id: auth
- name: Publish crate.io package
env:
CARGO_REGISTRY_TOKEN: ${{ steps.auth.outputs.token }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
run: |
# DRY_RUN expansion cannot be double quoted when variable contains empty string otherwise cargo publish
# would fail. This is safe since DRY_RUN is handled in the env section above.
# shellcheck disable=SC2086
cargo publish -p tfhe-hpu-backend ${DRY_RUN}
- name: Generate hash
id: published_hash
run: cd target/package && echo "pub_hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
- name: Slack notification (hashes comparison)
if: ${{ needs.package.outputs.hash != steps.published_hash.outputs.pub_hash }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: failure
SLACK_MESSAGE: "SLSA tfhe-hpu-backend crate - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
- name: Slack Notification
if: ${{ failure() || (cancelled() && github.event_name != 'pull_request') }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe-hpu-backend release failed: (${{ env.ACTION_RUN_URL }})"

113
.github/workflows/make_release_tfhe.yml vendored Normal file
View File

@@ -0,0 +1,113 @@
# Publish new release of tfhe-rs on various platform.
name: make_release_tfhe
on:
workflow_dispatch:
inputs:
dry_run:
description: "Dry-run"
type: boolean
default: true
push_to_crates:
description: "Push to crate"
type: boolean
default: true
push_web_package:
description: "Push web js package"
type: boolean
default: true
push_node_package:
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: ""
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 }}
permissions: {}
jobs:
make-release:
name: make_release_tfhe/make-release
uses: ./.github/workflows/make_release_common.yml
with:
package-name: "tfhe"
dry-run: ${{ inputs.dry_run }}
secrets:
BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
make-release-js:
name: make_release_tfhe/make-release-js
needs: make-release
runs-on: ubuntu-latest
# For provenance of npmjs publish
permissions:
contents: read
id-token: write # also needed for OIDC token exchange on crates.io
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Create NPM version tag
if: ${{ inputs.npm_latest_tag }}
run: |
echo "NPM_TAG=latest" >> "${GITHUB_ENV}"
- name: Build web package
if: ${{ inputs.push_web_package }}
run: |
make build_web_js_api_parallel
- name: Publish web package
if: ${{ inputs.push_web_package }}
uses: JS-DevTools/npm-publish@19c28f1ef146469e409470805ea4279d47c3d35c
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 }}
run: |
rm -rf tfhe/pkg
make build_node_js_api
sed -i 's/"tfhe"/"node-tfhe"/g' tfhe/pkg/package.json
- name: Publish Node package
if: ${{ inputs.push_node_package }}
uses: JS-DevTools/npm-publish@19c28f1ef146469e409470805ea4279d47c3d35c
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@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe release finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -8,110 +8,19 @@ on:
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 }}
permissions: {}
jobs:
verify-tag:
name: make_release_tfhe_csprng/verify-tag
if: startsWith(github.ref, 'refs/tags/')
uses: ./.github/workflows/verify_commit_actor.yml
make-release:
name: make_release_tfhe_csprng/make-release
uses: ./.github/workflows/make_release_common.yml
with:
package-name: "tfhe-csprng"
dry-run: ${{ inputs.dry_run }}
secrets:
BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
package:
name: make_release_tfhe_csprng/package
runs-on: ubuntu-latest
outputs:
hash: ${{ steps.hash.outputs.hash }}
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Prepare package
run: |
cargo package -p tfhe-csprng
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: crate-tfhe-csprng
path: target/package/*.crate
- name: generate hash
id: hash
run: cd target/package && echo "hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance:
name: make_release_tfhe_csprng/provenance
if: ${{ !inputs.dry_run }}
needs: [package]
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v2.1.0
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: make_release_tfhe_csprng/publish-release
needs: [verify-tag, package]
runs-on: ubuntu-latest
permissions:
# Needed for OIDC token exchange on crates.io
id-token: write
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Download artifact
uses: actions/download-artifact@634f93cb2916e3fdff6788551b99b062d0335ce0 # v5.0.0
with:
name: crate-tfhe-csprng
path: target/package
- name: Authenticate on registry
uses: rust-lang/crates-io-auth-action@e919bc7605cde86df457cf5b93c5e103838bd879 # v1.0.1
id: auth
- name: Publish crate.io package
env:
CARGO_REGISTRY_TOKEN: ${{ steps.auth.outputs.token }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
run: |
# DRY_RUN expansion cannot be double quoted when variable contains empty string otherwise cargo publish
# would fail. This is safe since DRY_RUN is handled in the env section above.
# shellcheck disable=SC2086
cargo publish -p tfhe-csprng ${DRY_RUN}
- name: Generate hash
id: published_hash
run: cd target/package && echo "pub_hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
- name: Slack notification (hashes comparison)
if: ${{ needs.package.outputs.hash != steps.published_hash.outputs.pub_hash }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: failure
SLACK_MESSAGE: "SLSA tfhe-csprng - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
- name: Slack Notification
if: ${{ failure() || (cancelled() && github.event_name != 'pull_request') }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe-csprng release finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"

View File

@@ -19,99 +19,16 @@ env:
permissions: {}
jobs:
verify-tag:
name: make_release_tfhe_fft/verify-tag
if: startsWith(github.ref, 'refs/tags/')
uses: ./.github/workflows/verify_commit_actor.yml
make-release:
name: make_release_tfhe_fft/make-release
uses: ./.github/workflows/make_release_common.yml
with:
package-name: "tfhe-fft"
dry-run: ${{ inputs.dry_run }}
secrets:
BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
package:
name: make_release_tfhe_fft/package
runs-on: ubuntu-latest
needs: verify-tag
outputs:
hash: ${{ steps.hash.outputs.hash }}
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Prepare package
run: |
cargo package -p tfhe-fft
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: crate
path: target/package/*.crate
- name: generate hash
id: hash
run: cd target/package && echo "hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance:
name: make_release_tfhe_fft/provenance
if: ${{ !inputs.dry_run }}
needs: [package]
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v2.1.0
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: make_release_tfhe_fft/publish-release
runs-on: ubuntu-latest
needs: [verify-tag, package] # for comparing hashes
permissions:
# Needed for OIDC token exchange on crates.io
id-token: write
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Authenticate on registry
uses: rust-lang/crates-io-auth-action@e919bc7605cde86df457cf5b93c5e103838bd879 # v1.0.1
id: auth
- name: Publish crate.io package
env:
CARGO_REGISTRY_TOKEN: ${{ steps.auth.outputs.token }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
run: |
# DRY_RUN expansion cannot be double quoted when variable contains empty string otherwise cargo publish
# would fail. This is safe since DRY_RUN is handled in the env section above.
# shellcheck disable=SC2086
cargo publish -p tfhe-fft ${DRY_RUN}
- name: Generate hash
id: published_hash
run: cd target/package && echo "pub_hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
- name: Slack notification (hashes comparison)
if: ${{ needs.package.outputs.hash != steps.published_hash.outputs.pub_hash }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: failure
SLACK_MESSAGE: "SLSA tfhe-fft crate - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
- name: Slack Notification
if: ${{ failure() || (cancelled() && github.event_name != 'pull_request') }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe-fft release failed: (${{ env.ACTION_RUN_URL }})"

View File

@@ -19,99 +19,16 @@ env:
permissions: {}
jobs:
verify-tag:
name: make_release_tfhe_ntt/verify-tag
if: startsWith(github.ref, 'refs/tags/')
uses: ./.github/workflows/verify_commit_actor.yml
make-release:
name: make_release_tfhe_ntt/make-release
uses: ./.github/workflows/make_release_common.yml
with:
package-name: "tfhe-ntt"
dry-run: ${{ inputs.dry_run }}
secrets:
BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
package:
name: make_release_tfhe_ntt/package
runs-on: ubuntu-latest
needs: verify-tag
outputs:
hash: ${{ steps.hash.outputs.hash }}
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Prepare package
run: |
cargo package -p tfhe-ntt
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: crate
path: target/package/*.crate
- name: generate hash
id: hash
run: cd target/package && echo "hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance:
name: make_release_tfhe_ntt/provenance
if: ${{ !inputs.dry_run }}
needs: [package]
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v2.1.0
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: make_release_tfhe_ntt/publish-release
runs-on: ubuntu-latest
needs: [verify-tag, package] # for comparing hashes
permissions:
# Needed for OIDC token exchange on crates.io
id-token: write
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Authenticate on registry
uses: rust-lang/crates-io-auth-action@e919bc7605cde86df457cf5b93c5e103838bd879 # v1.0.1
id: auth
- name: Publish crate.io package
env:
CARGO_REGISTRY_TOKEN: ${{ steps.auth.outputs.token }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
run: |
# DRY_RUN expansion cannot be double quoted when variable contains empty string otherwise cargo publish
# would fail. This is safe since DRY_RUN is handled in the env section above.
# shellcheck disable=SC2086
cargo publish -p tfhe-ntt ${DRY_RUN}
- name: Generate hash
id: published_hash
run: cd target/package && echo "pub_hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
- name: Slack notification (hashes comparison)
if: ${{ needs.package.outputs.hash != steps.published_hash.outputs.pub_hash }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: failure
SLACK_MESSAGE: "SLSA tfhe-ntt crate - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
- name: Slack Notification
if: ${{ failure() || (cancelled() && github.event_name != 'pull_request') }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe-ntt release failed: (${{ env.ACTION_RUN_URL }})"

View File

@@ -2,6 +2,11 @@ name: make_release_tfhe_versionable
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 }}
@@ -13,174 +18,31 @@ env:
permissions: {}
jobs:
verify-tag:
name: make_release_tfhe_versionable/verify-tag
if: startsWith(github.ref, 'refs/tags/')
uses: ./.github/workflows/verify_commit_actor.yml
make-release-derive:
name: make_release_tfhe_versionable/make-release-derive
uses: ./.github/workflows/make_release_common.yml
with:
package-name: "tfhe-versionable-derive"
dry-run: ${{ inputs.dry_run }}
secrets:
BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
package-derive:
name: make_release_tfhe_versionable/package-derive
runs-on: ubuntu-latest
outputs:
hash: ${{ steps.hash.outputs.hash }}
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Prepare package
run: |
cargo package -p tfhe-versionable-derive
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: crate-tfhe-versionable-derive
path: target/package/*.crate
- name: generate hash
id: hash
run: cd target/package && echo "hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance-derive:
name: make_release_tfhe_versionable/provenance-derive
needs: [package-derive]
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v2.1.0
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
make-release:
name: make_release_tfhe_versionable/make-release
needs: make-release-derive
uses: ./.github/workflows/make_release_common.yml
with:
# SHA-256 hashes of the Crate package.
base64-subjects: ${{ needs.package-derive.outputs.hash }}
publish_release-derive:
name: make_release_tfhe_versionable/publish_release_derive
needs: [ verify-tag, package-derive ] # for comparing hashes
runs-on: ubuntu-latest
permissions:
# Needed for OIDC token exchange on crates.io
id-token: write
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Download artifact
uses: actions/download-artifact@634f93cb2916e3fdff6788551b99b062d0335ce0 # v5.0.0
with:
name: crate-tfhe-versionable-derive
path: target/package
- name: Authenticate on registry
uses: rust-lang/crates-io-auth-action@e919bc7605cde86df457cf5b93c5e103838bd879 # v1.0.1
id: auth
- name: Publish crate.io package
env:
CARGO_REGISTRY_TOKEN: ${{ steps.auth.outputs.token }}
run: |
cargo publish -p tfhe-versionable-derive
- name: Generate hash
id: published_hash
run: cd target/package && echo "pub_hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
- name: Slack notification (hashes comparison)
if: ${{ needs.package-derive.outputs.hash != steps.published_hash.outputs.pub_hash }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: failure
SLACK_MESSAGE: "SLSA tfhe-versionable-derive - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
- name: Slack Notification
if: ${{ failure() || (cancelled() && github.event_name != 'pull_request') }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe-versionable-derive release finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
package:
name: make_release_tfhe_versionable/package
needs: publish_release-derive
runs-on: ubuntu-latest
outputs:
hash: ${{ steps.hash.outputs.hash }}
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Prepare package
run: |
cargo package -p tfhe-versionable
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: crate-tfhe-versionable
path: target/package/*.crate
- name: generate hash
id: hash
run: cd target/package && echo "hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance:
name: make_release_tfhe_versionable/provenance
needs: package
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v2.1.0
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: make_release_tfhe_versionable/publish-release
needs: package # for comparing hashes
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Download artifact
uses: actions/download-artifact@634f93cb2916e3fdff6788551b99b062d0335ce0 # v5.0.0
with:
name: crate-tfhe-versionable
path: target/package
- name: Authenticate on registry
uses: rust-lang/crates-io-auth-action@e919bc7605cde86df457cf5b93c5e103838bd879 # v1.0.1
id: auth
- name: Publish crate.io package
env:
CARGO_REGISTRY_TOKEN: ${{ steps.auth.outputs.token }}
run: |
cargo publish -p tfhe-versionable
- name: Generate hash
id: published_hash
run: cd target/package && echo "pub_hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
- name: Slack notification (hashes comparison)
if: ${{ needs.package.outputs.hash != steps.published_hash.outputs.pub_hash }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: failure
SLACK_MESSAGE: "SLSA tfhe-versionable - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
- name: Slack Notification
if: ${{ failure() || (cancelled() && github.event_name != 'pull_request') }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe-versionable release finished with status: ${{ job.status }}. (${{ env.ACTION_RUN_URL }})"
package-name: "tfhe-versionable"
dry-run: ${{ inputs.dry_run }}
secrets:
BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}

View File

@@ -18,99 +18,16 @@ env:
permissions: { }
jobs:
verify-tag:
name: make_release_zk_pok/verify-tag
if: startsWith(github.ref, 'refs/tags/')
uses: ./.github/workflows/verify_commit_actor.yml
make-release:
name: make_release_zk_pok/make-release
uses: ./.github/workflows/make_release_common.yml
with:
package-name: "tfhe-zk-pok"
dry-run: ${{ inputs.dry_run }}
secrets:
BOT_USERNAME: ${{ secrets.BOT_USERNAME }}
SLACK_CHANNEL: ${{ secrets.SLACK_CHANNEL }}
SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
REPO_CHECKOUT_TOKEN: ${{ secrets.REPO_CHECKOUT_TOKEN }}
ALLOWED_TEAM: ${{ secrets.RELEASE_TEAM }}
READ_ORG_TOKEN: ${{ secrets.READ_ORG_TOKEN }}
package:
name: make_release_zk_pok/package
runs-on: ubuntu-latest
needs: verify-tag
outputs:
hash: ${{ steps.hash.outputs.hash }}
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Prepare package
run: |
cargo package -p tfhe-zk-pok
- uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
with:
name: crate-zk-pok
path: target/package/*.crate
- name: generate hash
id: hash
run: cd target/package && echo "hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
provenance:
name: make_release_zk_pok/provenance
if: ${{ !inputs.dry_run }}
needs: [ package ]
uses: slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@v2.1.0
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: make_release_zk_pok/publish-release
needs: [ verify-tag, package ] # for comparing hashes
runs-on: ubuntu-latest
permissions:
# Needed for OIDC token exchange on crates.io
id-token: write
steps:
- name: Checkout
uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
with:
fetch-depth: 0
persist-credentials: 'false'
token: ${{ secrets.REPO_CHECKOUT_TOKEN }}
- name: Download artifact
uses: actions/download-artifact@634f93cb2916e3fdff6788551b99b062d0335ce0 # v5.0.0
with:
name: crate-zk-pok
path: target/package
- name: Authenticate on registry
uses: rust-lang/crates-io-auth-action@e919bc7605cde86df457cf5b93c5e103838bd879 # v1.0.1
id: auth
- name: Publish crate.io package
env:
CARGO_REGISTRY_TOKEN: ${{ steps.auth.outputs.token }}
DRY_RUN: ${{ inputs.dry_run && '--dry-run' || '' }}
run: |
# DRY_RUN expansion cannot be double quoted when variable contains empty string otherwise cargo publish
# would fail. This is safe since DRY_RUN is handled in the env section above.
# shellcheck disable=SC2086
cargo publish -p tfhe-zk-pok ${DRY_RUN}
- name: Verify hash
id: published_hash
run: cd target/package && echo "pub_hash=$(sha256sum ./*.crate | base64 -w0)" >> "${GITHUB_OUTPUT}"
- name: Slack notification (hashes comparison)
if: ${{ needs.package.outputs.hash != steps.published_hash.outputs.pub_hash }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: failure
SLACK_MESSAGE: "SLSA tfhe-zk-pok crate - hash comparison failure: (${{ env.ACTION_RUN_URL }})"
- name: Slack Notification
if: ${{ failure() || (cancelled() && github.event_name != 'pull_request') }}
continue-on-error: true
uses: rtCamp/action-slack-notify@e31e87e03dd19038e411e38ae27cbad084a90661 # v2.3.3
env:
SLACK_COLOR: ${{ job.status }}
SLACK_MESSAGE: "tfhe-zk-pok release failed: (${{ env.ACTION_RUN_URL }})"

View File

@@ -1,5 +1,5 @@
# Verify a commit actor
name: verify_commit_actor
# Verify a triggering actor
name: verify_triggering_actor
on:
workflow_call:
@@ -13,7 +13,7 @@ permissions: {}
jobs:
check-actor:
name: verify_commit_actor/check-actor
name: verify_triggering_actor/check-actor
runs-on: ubuntu-latest
steps:
# Check triggering actor membership

View File

@@ -1004,6 +1004,11 @@ test_list_gpu: install_rs_build_toolchain install_cargo_nextest
--features=integer,internal-keycache,gpu,zk-pok -p tfhe \
-E "test(/.*gpu.*/)"
.PHONY: build_one_hl_api_test_gpu
build_one_hl_api_test_gpu: install_rs_build_toolchain
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) test --no-run \
--features=integer,gpu-debug -vv -p tfhe -- "$${TEST}" --test-threads=1 --nocapture
test_high_level_api_hpu: install_rs_build_toolchain install_cargo_nextest
ifeq ($(HPU_CONFIG), v80)
RUSTFLAGS="$(RUSTFLAGS)" cargo $(CARGO_RS_BUILD_TOOLCHAIN) nextest run --cargo-profile $(CARGO_PROFILE) \

View File

@@ -86,6 +86,7 @@ if(CMAKE_BUILD_TYPE_LOWERCASE STREQUAL "debug")
message("Compiling in Debug mode")
add_definitions(-DDEBUG)
set(OPTIMIZATION_FLAGS "${OPTIMIZATION_FLAGS} -O0 -G -g")
set(USE_NVTOOLS 1)
else()
# Release mode
message("Compiling in Release mode")

View File

@@ -56,7 +56,6 @@ typedef struct {
uint32_t num_radix_blocks;
uint32_t max_num_radix_blocks;
uint32_t lwe_dimension;
uint32_t num_radix_ciphertexts;
} CudaRadixCiphertextFFI;
typedef struct {
@@ -334,8 +333,8 @@ uint64_t scratch_cuda_propagate_single_carry_kb_64_inplace(
uint32_t small_lwe_dimension, uint32_t ks_level, uint32_t ks_base_log,
uint32_t pbs_level, uint32_t pbs_base_log, uint32_t grouping_factor,
uint32_t num_blocks, uint32_t message_modulus, uint32_t carry_modulus,
PBS_TYPE pbs_type, uint32_t requested_flag, uint32_t uses_carry,
bool allocate_gpu_memory, PBS_MS_REDUCTION_T noise_reduction_type);
PBS_TYPE pbs_type, uint32_t requested_flag, bool allocate_gpu_memory,
PBS_MS_REDUCTION_T noise_reduction_type);
uint64_t scratch_cuda_add_and_propagate_single_carry_kb_64_inplace(
CudaStreamsFFI streams, int8_t **mem_ptr, uint32_t glwe_dimension,
@@ -343,8 +342,8 @@ uint64_t scratch_cuda_add_and_propagate_single_carry_kb_64_inplace(
uint32_t small_lwe_dimension, uint32_t ks_level, uint32_t ks_base_log,
uint32_t pbs_level, uint32_t pbs_base_log, uint32_t grouping_factor,
uint32_t num_blocks, uint32_t message_modulus, uint32_t carry_modulus,
PBS_TYPE pbs_type, uint32_t requested_flag, uint32_t uses_carry,
bool allocate_gpu_memory, PBS_MS_REDUCTION_T noise_reduction_type);
PBS_TYPE pbs_type, uint32_t requested_flag, bool allocate_gpu_memory,
PBS_MS_REDUCTION_T noise_reduction_type);
void cuda_propagate_single_carry_kb_64_inplace(
CudaStreamsFFI streams, CudaRadixCiphertextFFI *lwe_array,

View File

@@ -244,8 +244,6 @@ struct int_radix_params {
uint32_t carry_modulus;
PBS_MS_REDUCTION_T noise_reduction_type;
int_radix_params(){};
int_radix_params(PBS_TYPE pbs_type, uint32_t glwe_dimension,
uint32_t polynomial_size, uint32_t big_lwe_dimension,
uint32_t small_lwe_dimension, uint32_t ks_level,
@@ -262,6 +260,8 @@ struct int_radix_params {
message_modulus(message_modulus), carry_modulus(carry_modulus),
noise_reduction_type(noise_reduction_type){};
int_radix_params() = default;
void print() {
printf("pbs_type: %u, glwe_dimension: %u, "
"polynomial_size: %u, "
@@ -756,18 +756,20 @@ template <typename Torus> struct int_radix_lut {
CudaStreams streams, uint64_t max_num_radix_blocks,
uint64_t &size_tracker, bool allocate_gpu_memory) {
// We need to create the auxiliary array only in GPU 0
lwe_aligned_vec.resize(active_streams.count());
for (uint i = 0; i < active_streams.count(); i++) {
uint64_t size_tracker_on_array_i = 0;
auto inputs_on_gpu = std::max(
THRESHOLD_MULTI_GPU, get_num_inputs_on_gpu(max_num_radix_blocks, i,
active_streams.count()));
Torus *d_array = (Torus *)cuda_malloc_with_size_tracking_async(
inputs_on_gpu * (params.big_lwe_dimension + 1) * sizeof(Torus),
streams.stream(0), streams.gpu_index(0), size_tracker_on_array_i,
allocate_gpu_memory);
lwe_aligned_vec[i] = d_array;
size_tracker += size_tracker_on_array_i;
if (active_streams.count() > 1) {
lwe_aligned_vec.resize(active_streams.count());
for (uint i = 0; i < active_streams.count(); i++) {
uint64_t size_tracker_on_array_i = 0;
auto inputs_on_gpu = std::max(
THRESHOLD_MULTI_GPU, get_num_inputs_on_gpu(max_num_radix_blocks, i,
active_streams.count()));
Torus *d_array = (Torus *)cuda_malloc_with_size_tracking_async(
inputs_on_gpu * (params.big_lwe_dimension + 1) * sizeof(Torus),
streams.stream(0), streams.gpu_index(0), size_tracker_on_array_i,
allocate_gpu_memory);
lwe_aligned_vec[i] = d_array;
size_tracker += size_tracker_on_array_i;
}
}
}
@@ -1632,8 +1634,19 @@ template <typename Torus> struct int_sum_ciphertexts_vec_memory {
luts_message_carry = new int_radix_lut<Torus>(
streams, params, 2, pbs_count, true, size_tracker);
allocated_luts_message_carry = true;
uint64_t message_modulus_bits =
(uint64_t)std::log2(params.message_modulus);
uint64_t carry_modulus_bits = (uint64_t)std::log2(params.carry_modulus);
uint64_t total_bits_per_block =
message_modulus_bits + carry_modulus_bits;
uint64_t denominator =
(uint64_t)std::ceil((pow(2, total_bits_per_block) - 1) /
(pow(2, message_modulus_bits) - 1));
uint64_t upper_bound_num_blocks =
max_total_blocks_in_vec * 2 / denominator;
luts_message_carry->allocate_lwe_vector_for_non_trivial_indexes(
streams, this->max_total_blocks_in_vec, size_tracker, true);
streams, upper_bound_num_blocks, size_tracker, true);
}
}
if (allocated_luts_message_carry) {
@@ -1731,9 +1744,17 @@ template <typename Torus> struct int_sum_ciphertexts_vec_memory {
this->current_blocks = current_blocks;
this->small_lwe_vector = small_lwe_vector;
this->luts_message_carry = reused_lut;
uint64_t message_modulus_bits = (uint64_t)std::log2(params.message_modulus);
uint64_t carry_modulus_bits = (uint64_t)std::log2(params.carry_modulus);
uint64_t total_bits_per_block = message_modulus_bits + carry_modulus_bits;
uint64_t denominator =
(uint64_t)std::ceil((pow(2, total_bits_per_block) - 1) /
(pow(2, message_modulus_bits) - 1));
uint64_t upper_bound_num_blocks = max_total_blocks_in_vec * 2 / denominator;
this->luts_message_carry->allocate_lwe_vector_for_non_trivial_indexes(
streams, this->max_total_blocks_in_vec, size_tracker,
allocate_gpu_memory);
streams, upper_bound_num_blocks, size_tracker, allocate_gpu_memory);
setup_index_buffers(streams, size_tracker);
}
@@ -2404,8 +2425,7 @@ template <typename Torus> struct int_sc_prop_memory {
int_sc_prop_memory(CudaStreams streams, int_radix_params params,
uint32_t num_radix_blocks, uint32_t requested_flag_in,
uint32_t uses_carry, bool allocate_gpu_memory,
uint64_t &size_tracker) {
bool allocate_gpu_memory, uint64_t &size_tracker) {
gpu_memory_allocated = allocate_gpu_memory;
this->params = params;
auto glwe_dimension = params.glwe_dimension;
@@ -3127,11 +3147,10 @@ template <typename Torus> struct int_mul_memory {
streams, params, num_radix_blocks, 2 * num_radix_blocks,
vector_result_sb, small_lwe_vector, luts_array, true,
allocate_gpu_memory, size_tracker);
uint32_t uses_carry = 0;
uint32_t requested_flag = outputFlag::FLAG_NONE;
sc_prop_mem = new int_sc_prop_memory<Torus>(
streams, params, num_radix_blocks, requested_flag, uses_carry,
allocate_gpu_memory, size_tracker);
streams, params, num_radix_blocks, requested_flag, allocate_gpu_memory,
size_tracker);
}
void release(CudaStreams streams) {
@@ -3731,36 +3750,13 @@ template <typename Torus> struct int_comparison_eq_buffer {
gpu_memory_allocated = allocate_gpu_memory;
this->params = params;
this->op = op;
Torus total_modulus = params.message_modulus * params.carry_modulus;
are_all_block_true_buffer = new int_are_all_block_true_buffer<Torus>(
streams, op, params, num_radix_blocks, allocate_gpu_memory,
size_tracker);
// Operator LUT
auto operator_f = [op](Torus lhs, Torus rhs) -> Torus {
if (op == COMPARISON_TYPE::EQ) {
// EQ
return (lhs == rhs);
} else {
// NE
return (lhs != rhs);
}
};
operator_lut =
new int_radix_lut<Torus>(streams, params, 1, num_radix_blocks,
allocate_gpu_memory, size_tracker);
generate_device_accumulator_bivariate<Torus>(
streams.stream(0), streams.gpu_index(0), operator_lut->get_lut(0, 0),
operator_lut->get_degree(0), operator_lut->get_max_degree(0),
params.glwe_dimension, params.polynomial_size, params.message_modulus,
params.carry_modulus, operator_f, gpu_memory_allocated);
auto active_streams = streams.active_gpu_subset(num_radix_blocks);
operator_lut->broadcast_lut(active_streams);
// f(x) -> x == 0
Torus total_modulus = params.message_modulus * params.carry_modulus;
auto is_non_zero_lut_f = [total_modulus](Torus x) -> Torus {
return (x % total_modulus) != 0;
};
@@ -3775,38 +3771,74 @@ template <typename Torus> struct int_comparison_eq_buffer {
params.glwe_dimension, params.polynomial_size, params.message_modulus,
params.carry_modulus, is_non_zero_lut_f, gpu_memory_allocated);
auto active_streams = streams.active_gpu_subset(num_radix_blocks);
is_non_zero_lut->broadcast_lut(active_streams);
// Scalar may have up to num_radix_blocks blocks
scalar_comparison_luts = new int_radix_lut<Torus>(
streams, params, total_modulus, num_radix_blocks, allocate_gpu_memory,
size_tracker);
for (int i = 0; i < total_modulus; i++) {
auto lut_f = [i, operator_f](Torus x) -> Torus {
return operator_f(i, x);
if (op == COMPARISON_TYPE::EQ || COMPARISON_TYPE::NE) {
// Operator LUT
auto operator_f = [op](Torus lhs, Torus rhs) -> Torus {
if (op == COMPARISON_TYPE::EQ) {
return (lhs == rhs);
} else if (op == COMPARISON_TYPE::NE) {
return (lhs != rhs);
PANIC("Cuda error (eq/ne): invalid comparison type")
}
};
// Scalar may have up to num_radix_blocks blocks
scalar_comparison_luts = new int_radix_lut<Torus>(
streams, params, total_modulus, num_radix_blocks, allocate_gpu_memory,
size_tracker);
generate_device_accumulator<Torus>(
streams.stream(0), streams.gpu_index(0),
scalar_comparison_luts->get_lut(0, i),
scalar_comparison_luts->get_degree(i),
scalar_comparison_luts->get_max_degree(i), params.glwe_dimension,
params.polynomial_size, params.message_modulus, params.carry_modulus,
lut_f, gpu_memory_allocated);
for (int i = 0; i < total_modulus; i++) {
auto lut_f = [i, operator_f](Torus x) -> Torus {
return operator_f(i, x);
};
generate_device_accumulator<Torus>(
streams.stream(0), streams.gpu_index(0),
scalar_comparison_luts->get_lut(0, i),
scalar_comparison_luts->get_degree(i),
scalar_comparison_luts->get_max_degree(i), params.glwe_dimension,
params.polynomial_size, params.message_modulus,
params.carry_modulus, lut_f, gpu_memory_allocated);
}
scalar_comparison_luts->broadcast_lut(active_streams);
operator_lut =
new int_radix_lut<Torus>(streams, params, 1, num_radix_blocks,
allocate_gpu_memory, size_tracker);
generate_device_accumulator_bivariate<Torus>(
streams.stream(0), streams.gpu_index(0), operator_lut->get_lut(0, 0),
operator_lut->get_degree(0), operator_lut->get_max_degree(0),
params.glwe_dimension, params.polynomial_size, params.message_modulus,
params.carry_modulus, operator_f, gpu_memory_allocated);
operator_lut->broadcast_lut(active_streams);
} else {
scalar_comparison_luts = nullptr;
operator_lut = nullptr;
}
scalar_comparison_luts->broadcast_lut(active_streams);
}
void release(CudaStreams streams) {
operator_lut->release(streams);
delete operator_lut;
if (op == COMPARISON_TYPE::EQ || COMPARISON_TYPE::NE) {
PANIC_IF_FALSE(operator_lut != nullptr,
"Cuda error: no operator lut was created");
operator_lut->release(streams);
delete operator_lut;
operator_lut = nullptr;
PANIC_IF_FALSE(scalar_comparison_luts != nullptr,
"Cuda error: no scalar comparison luts were created");
scalar_comparison_luts->release(streams);
delete scalar_comparison_luts;
scalar_comparison_luts = nullptr;
}
is_non_zero_lut->release(streams);
delete is_non_zero_lut;
scalar_comparison_luts->release(streams);
delete scalar_comparison_luts;
is_non_zero_lut = nullptr;
are_all_block_true_buffer->release(streams);
delete are_all_block_true_buffer;
are_all_block_true_buffer = nullptr;
}
};
@@ -3926,8 +3958,7 @@ template <typename Torus> struct int_comparison_diff_buffer {
case LE:
return (x == IS_INFERIOR) || (x == IS_EQUAL);
default:
// We don't need a default case but we need to return something
return 42;
PANIC("Cuda error (comparisons): unknown comparison type")
}
};
@@ -4922,11 +4953,10 @@ template <typename Torus> struct int_scalar_mul_buffer {
streams, params, num_radix_blocks, num_ciphertext_bits, true,
allocate_gpu_memory, last_step_mem);
}
uint32_t uses_carry = 0;
uint32_t requested_flag = outputFlag::FLAG_NONE;
sc_prop_mem = new int_sc_prop_memory<Torus>(
streams, params, num_radix_blocks, requested_flag, uses_carry,
allocate_gpu_memory, last_step_mem);
streams, params, num_radix_blocks, requested_flag, allocate_gpu_memory,
last_step_mem);
if (anticipated_buffer_drop) {
size_tracker += std::max(anticipated_drop_mem, last_step_mem);
} else {
@@ -4982,10 +5012,9 @@ template <typename Torus> struct int_abs_buffer {
streams, SHIFT_OR_ROTATE_TYPE::RIGHT_SHIFT, params, num_radix_blocks,
allocate_gpu_memory, size_tracker);
uint32_t requested_flag = outputFlag::FLAG_NONE;
uint32_t uses_carry = 0;
scp_mem = new int_sc_prop_memory<Torus>(streams, params, num_radix_blocks,
requested_flag, uses_carry,
allocate_gpu_memory, size_tracker);
requested_flag, allocate_gpu_memory,
size_tracker);
bitxor_mem = new int_bitop_buffer<Torus>(streams, BITOP_TYPE::BITXOR,
params, num_radix_blocks,
allocate_gpu_memory, size_tracker);
@@ -5061,13 +5090,12 @@ template <typename Torus> struct int_div_rem_memory {
abs_mem_2 = new int_abs_buffer<Torus>(streams, params, num_blocks,
allocate_gpu_memory, size_tracker);
uint32_t requested_flag = outputFlag::FLAG_NONE;
uint32_t uses_carry = 0;
scp_mem_1 = new int_sc_prop_memory<Torus>(
streams, params, num_blocks, requested_flag, uses_carry,
allocate_gpu_memory, size_tracker);
streams, params, num_blocks, requested_flag, allocate_gpu_memory,
size_tracker);
scp_mem_2 = new int_sc_prop_memory<Torus>(
streams, params, num_blocks, requested_flag, uses_carry,
allocate_gpu_memory, size_tracker);
streams, params, num_blocks, requested_flag, allocate_gpu_memory,
size_tracker);
std::function<uint64_t(uint64_t)> quotient_predicate_lut_f =
[](uint64_t x) -> uint64_t { return x == 1; };
@@ -5251,7 +5279,7 @@ template <typename Torus> struct int_sub_and_propagate {
this->allocate_gpu_memory = allocate_gpu_memory;
this->sc_prop_mem = new int_sc_prop_memory<Torus>(
streams, params, num_radix_blocks, requested_flag_in, (uint32_t)0,
streams, params, num_radix_blocks, requested_flag_in,
allocate_gpu_memory, size_tracker);
this->neg_rhs_array = new CudaRadixCiphertextFFI;
@@ -5391,8 +5419,8 @@ template <typename Torus> struct int_unsigned_scalar_div_mem {
streams, params, num_radix_blocks, scalar_divisor_ffi->active_bits,
allocate_gpu_memory, size_tracker);
scp_mem = new int_sc_prop_memory<Torus>(
streams, params, num_radix_blocks, FLAG_NONE, (uint32_t)0,
allocate_gpu_memory, size_tracker);
streams, params, num_radix_blocks, FLAG_NONE, allocate_gpu_memory,
size_tracker);
sub_and_propagate_mem = new int_sub_and_propagate<Torus>(
streams, params, num_radix_blocks, FLAG_NONE, allocate_gpu_memory,
size_tracker);
@@ -5545,8 +5573,8 @@ template <typename Torus> struct int_signed_scalar_div_mem {
streams, RIGHT_SHIFT, params, num_radix_blocks,
allocate_gpu_memory, size_tracker);
scp_mem = new int_sc_prop_memory<Torus>(
streams, params, num_radix_blocks, FLAG_NONE, (uint32_t)0,
allocate_gpu_memory, size_tracker);
streams, params, num_radix_blocks, FLAG_NONE, allocate_gpu_memory,
size_tracker);
} else {
@@ -5567,7 +5595,7 @@ template <typename Torus> struct int_signed_scalar_div_mem {
if (scalar_divisor_ffi->is_chosen_multiplier_geq_two_pow_numerator) {
scp_mem = new int_sc_prop_memory<Torus>(
streams, params, num_radix_blocks, FLAG_NONE, (uint32_t)0,
streams, params, num_radix_blocks, FLAG_NONE,
allocate_gpu_memory, size_tracker);
}
}
@@ -5711,8 +5739,8 @@ template <typename Torus> struct int_signed_scalar_div_rem_buffer {
allocate_gpu_memory, size_tracker);
this->scp_mem = new int_sc_prop_memory<Torus>(
streams, params, num_radix_blocks, FLAG_NONE, (uint32_t)0,
allocate_gpu_memory, size_tracker);
streams, params, num_radix_blocks, FLAG_NONE, allocate_gpu_memory,
size_tracker);
bool is_divisor_one = scalar_divisor_ffi->is_abs_divisor_one &&
!scalar_divisor_ffi->is_divisor_negative;
@@ -5906,9 +5934,9 @@ template <typename Torus> struct int_count_of_consecutive_bits_buffer {
streams, params, counter_num_blocks, num_radix_blocks, true,
allocate_gpu_memory, size_tracker);
this->propagate_mem =
new int_sc_prop_memory<Torus>(streams, params, counter_num_blocks, 0, 0,
allocate_gpu_memory, size_tracker);
this->propagate_mem = new int_sc_prop_memory<Torus>(
streams, params, counter_num_blocks, FLAG_NONE, allocate_gpu_memory,
size_tracker);
}
void release(CudaStreams streams) {

View File

@@ -2,6 +2,9 @@
#include <cstdint>
#include <cuda_runtime.h>
#include <mutex>
#ifdef USE_NVTOOLS
#include <cuda_profiler_api.h>
#endif
uint32_t cuda_get_device() {
int device;
@@ -83,6 +86,9 @@ void cuda_set_device(uint32_t gpu_index) {
check_cuda_error(cudaSetDevice(gpu_index));
// Mempools are initialized only once in all the GPUS available
cuda_setup_mempool(gpu_index);
#ifdef USE_NVTOOLS
check_cuda_error(cudaProfilerStart());
#endif
}
cudaEvent_t cuda_create_event(uint32_t gpu_index) {

View File

@@ -24,43 +24,33 @@ __host__ void host_integer_radix_bitop_kb(
lwe_array_out->num_radix_blocks == lwe_array_2->num_radix_blocks,
"Cuda error: input and output num radix blocks must be equal");
PANIC_IF_FALSE(
lwe_array_out->num_radix_ciphertexts ==
lwe_array_1->num_radix_ciphertexts &&
lwe_array_out->num_radix_ciphertexts ==
lwe_array_2->num_radix_ciphertexts,
"Cuda error: input and output num radix ciphertexts must be equal");
PANIC_IF_FALSE(lwe_array_out->lwe_dimension == lwe_array_1->lwe_dimension &&
lwe_array_out->lwe_dimension == lwe_array_2->lwe_dimension,
"Cuda error: input and output lwe dimension must be equal");
auto lut = mem_ptr->lut;
uint64_t degrees[lwe_array_1->num_radix_blocks *
lwe_array_1->num_radix_ciphertexts];
uint64_t degrees[lwe_array_1->num_radix_blocks];
if (mem_ptr->op == BITOP_TYPE::BITAND) {
update_degrees_after_bitand(
degrees, lwe_array_1->degrees, lwe_array_2->degrees,
lwe_array_1->num_radix_blocks * lwe_array_1->num_radix_ciphertexts);
update_degrees_after_bitand(degrees, lwe_array_1->degrees,
lwe_array_2->degrees,
lwe_array_1->num_radix_blocks);
} else if (mem_ptr->op == BITOP_TYPE::BITOR) {
update_degrees_after_bitor(
degrees, lwe_array_1->degrees, lwe_array_2->degrees,
lwe_array_1->num_radix_blocks * lwe_array_1->num_radix_ciphertexts);
update_degrees_after_bitor(degrees, lwe_array_1->degrees,
lwe_array_2->degrees,
lwe_array_1->num_radix_blocks);
} else if (mem_ptr->op == BITOP_TYPE::BITXOR) {
update_degrees_after_bitxor(
degrees, lwe_array_1->degrees, lwe_array_2->degrees,
lwe_array_1->num_radix_blocks * lwe_array_1->num_radix_ciphertexts);
update_degrees_after_bitxor(degrees, lwe_array_1->degrees,
lwe_array_2->degrees,
lwe_array_1->num_radix_blocks);
}
integer_radix_apply_bivariate_lookup_table_kb<Torus>(
streams, lwe_array_out, lwe_array_1, lwe_array_2, bsks, ksks,
ms_noise_reduction_key, lut,
lwe_array_out->num_radix_blocks * lwe_array_out->num_radix_ciphertexts,
ms_noise_reduction_key, lut, lwe_array_out->num_radix_blocks,
lut->params.message_modulus);
memcpy(lwe_array_out->degrees, degrees,
lwe_array_out->num_radix_blocks *
lwe_array_out->num_radix_ciphertexts * sizeof(uint64_t));
lwe_array_out->num_radix_blocks * sizeof(uint64_t));
}
template <typename Torus>

View File

@@ -430,7 +430,6 @@ __host__ void tree_sign_reduction(
"than the number of blocks to operate on")
auto params = tree_buffer->params;
auto big_lwe_dimension = params.big_lwe_dimension;
auto glwe_dimension = params.glwe_dimension;
auto polynomial_size = params.polynomial_size;
auto message_modulus = params.message_modulus;

View File

@@ -51,8 +51,8 @@ uint64_t scratch_cuda_propagate_single_carry_kb_64_inplace(
uint32_t small_lwe_dimension, uint32_t ks_level, uint32_t ks_base_log,
uint32_t pbs_level, uint32_t pbs_base_log, uint32_t grouping_factor,
uint32_t num_blocks, uint32_t message_modulus, uint32_t carry_modulus,
PBS_TYPE pbs_type, uint32_t requested_flag, uint32_t uses_carry,
bool allocate_gpu_memory, PBS_MS_REDUCTION_T noise_reduction_type) {
PBS_TYPE pbs_type, uint32_t requested_flag, bool allocate_gpu_memory,
PBS_MS_REDUCTION_T noise_reduction_type) {
int_radix_params params(pbs_type, glwe_dimension, polynomial_size,
big_lwe_dimension, small_lwe_dimension, ks_level,
ks_base_log, pbs_level, pbs_base_log, grouping_factor,
@@ -60,7 +60,7 @@ uint64_t scratch_cuda_propagate_single_carry_kb_64_inplace(
return scratch_cuda_propagate_single_carry_kb_inplace<uint64_t>(
CudaStreams(streams), (int_sc_prop_memory<uint64_t> **)mem_ptr,
num_blocks, params, requested_flag, uses_carry, allocate_gpu_memory);
num_blocks, params, requested_flag, allocate_gpu_memory);
}
uint64_t scratch_cuda_add_and_propagate_single_carry_kb_64_inplace(
@@ -69,8 +69,8 @@ uint64_t scratch_cuda_add_and_propagate_single_carry_kb_64_inplace(
uint32_t small_lwe_dimension, uint32_t ks_level, uint32_t ks_base_log,
uint32_t pbs_level, uint32_t pbs_base_log, uint32_t grouping_factor,
uint32_t num_blocks, uint32_t message_modulus, uint32_t carry_modulus,
PBS_TYPE pbs_type, uint32_t requested_flag, uint32_t uses_carry,
bool allocate_gpu_memory, PBS_MS_REDUCTION_T noise_reduction_type) {
PBS_TYPE pbs_type, uint32_t requested_flag, bool allocate_gpu_memory,
PBS_MS_REDUCTION_T noise_reduction_type) {
int_radix_params params(pbs_type, glwe_dimension, polynomial_size,
big_lwe_dimension, small_lwe_dimension, ks_level,
ks_base_log, pbs_level, pbs_base_log, grouping_factor,
@@ -78,7 +78,7 @@ uint64_t scratch_cuda_add_and_propagate_single_carry_kb_64_inplace(
return scratch_cuda_propagate_single_carry_kb_inplace<uint64_t>(
CudaStreams(streams), (int_sc_prop_memory<uint64_t> **)mem_ptr,
num_blocks, params, requested_flag, uses_carry, allocate_gpu_memory);
num_blocks, params, requested_flag, allocate_gpu_memory);
}
uint64_t scratch_cuda_integer_overflowing_sub_kb_64_inplace(

View File

@@ -242,8 +242,8 @@ __host__ void host_radix_cumulative_sum_in_groups(cudaStream_t stream,
auto lwe_size = dest->lwe_dimension + 1;
cuda_set_device(gpu_index);
// Each CUDA block is responsible for a single group
int num_blocks = (num_radix_blocks + group_size - 1) / group_size,
num_threads = 512;
int num_blocks = CEIL_DIV(num_radix_blocks, group_size);
int num_threads = 512;
device_radix_cumulative_sum_in_groups<Torus>
<<<num_blocks, num_threads, 0, stream>>>(
(Torus *)dest->ptr, (Torus *)src->ptr, num_radix_blocks, lwe_size,
@@ -417,12 +417,9 @@ __host__ void host_pack_bivariate_blocks(
lwe_array_out->lwe_dimension != lwe_array_2->lwe_dimension)
PANIC("Cuda error: input and output radix ciphertexts should have the same "
"lwe dimension")
if (num_radix_blocks > lwe_array_out->num_radix_blocks *
lwe_array_out->num_radix_ciphertexts ||
num_radix_blocks >
lwe_array_1->num_radix_blocks * lwe_array_1->num_radix_ciphertexts ||
num_radix_blocks >
lwe_array_2->num_radix_blocks * lwe_array_2->num_radix_ciphertexts)
if (num_radix_blocks > lwe_array_out->num_radix_blocks ||
num_radix_blocks > lwe_array_1->num_radix_blocks ||
num_radix_blocks > lwe_array_2->num_radix_blocks)
PANIC("Cuda error: num radix blocks on which packing is applied should be "
"smaller or equal to the number of input & output radix blocks")
@@ -533,8 +530,7 @@ __host__ void integer_radix_apply_univariate_lookup_table_kb(
if (num_radix_blocks > lut->num_blocks)
PANIC("Cuda error: num radix blocks on which lut is applied should be "
"smaller or equal to the number of lut radix blocks")
if (num_radix_blocks >
lwe_array_out->num_radix_blocks * lwe_array_out->num_radix_ciphertexts)
if (num_radix_blocks > lwe_array_out->num_radix_blocks)
PANIC("Cuda error: num radix blocks on which lut is applied should be "
"smaller or equal to the number of input & output radix blocks")
@@ -760,14 +756,11 @@ __host__ void integer_radix_apply_bivariate_lookup_table_kb(
if (num_radix_blocks > lut->num_blocks)
PANIC("Cuda error: num radix blocks on which lut is applied should be "
"smaller or equal to the number of lut radix blocks")
if (num_radix_blocks > lwe_array_out->num_radix_blocks *
lwe_array_out->num_radix_ciphertexts ||
num_radix_blocks >
lwe_array_1->num_radix_blocks * lwe_array_1->num_radix_ciphertexts ||
num_radix_blocks >
lwe_array_2->num_radix_blocks * lwe_array_2->num_radix_ciphertexts)
if (num_radix_blocks > lwe_array_out->num_radix_blocks ||
num_radix_blocks > lwe_array_1->num_radix_blocks ||
num_radix_blocks > lwe_array_2->num_radix_blocks)
PANIC("Cuda error: num radix blocks on which lut is applied should be "
"smaller or equal to the number of total input & output radix blocks")
"smaller or equal to the number of input & output radix blocks")
auto params = lut->params;
auto pbs_type = params.pbs_type;
@@ -1573,9 +1566,6 @@ void host_full_propagate_inplace(
void *const *bsks, uint32_t num_blocks) {
auto params = mem_ptr->lut->params;
int big_lwe_size = (params.glwe_dimension * params.polynomial_size + 1);
int small_lwe_size = (params.small_lwe_dimension + 1);
// In the case of extracting a single LWE this parameters are dummy
uint32_t num_many_lut = 1;
uint32_t lut_stride = 0;
@@ -1976,12 +1966,12 @@ template <typename Torus>
uint64_t scratch_cuda_propagate_single_carry_kb_inplace(
CudaStreams streams, int_sc_prop_memory<Torus> **mem_ptr,
uint32_t num_radix_blocks, int_radix_params params, uint32_t requested_flag,
uint32_t uses_carry, bool allocate_gpu_memory) {
bool allocate_gpu_memory) {
PUSH_RANGE("scratch add & propagate sc")
uint64_t size_tracker = 0;
*mem_ptr = new int_sc_prop_memory<Torus>(streams, params, num_radix_blocks,
requested_flag, uses_carry,
allocate_gpu_memory, size_tracker);
requested_flag, allocate_gpu_memory,
size_tracker);
POP_RANGE()
return size_tracker;
}
@@ -2123,9 +2113,6 @@ void host_add_and_propagate_single_carry(
auto num_radix_blocks = lhs_array->num_radix_blocks;
auto params = mem->params;
auto glwe_dimension = params.glwe_dimension;
auto polynomial_size = params.polynomial_size;
uint32_t big_lwe_size = glwe_dimension * polynomial_size + 1;
auto lut_stride = mem->lut_stride;
auto num_many_lut = mem->num_many_lut;
CudaRadixCiphertextFFI output_flag;
@@ -2397,7 +2384,6 @@ __host__ void integer_radix_apply_noise_squashing_kb(
PUSH_RANGE("apply noise squashing")
auto params = lut->params;
auto pbs_type = params.pbs_type;
auto big_lwe_dimension = params.big_lwe_dimension;
auto small_lwe_dimension = params.small_lwe_dimension;
auto ks_level = params.ks_level;

View File

@@ -25,7 +25,6 @@ void into_radix_ciphertext(CudaRadixCiphertextFFI *radix, void *lwe_array,
radix->num_radix_blocks = num_radix_blocks;
radix->max_num_radix_blocks = num_radix_blocks;
radix->ptr = lwe_array;
radix->num_radix_ciphertexts = 1;
radix->degrees = (uint64_t *)(calloc(num_radix_blocks, sizeof(uint64_t)));
radix->noise_levels =

View File

@@ -19,7 +19,6 @@ void create_zero_radix_ciphertext_async(cudaStream_t const stream,
radix->lwe_dimension = lwe_dimension;
radix->num_radix_blocks = num_radix_blocks;
radix->max_num_radix_blocks = num_radix_blocks;
radix->num_radix_ciphertexts = 1;
uint64_t size = (lwe_dimension + 1) * num_radix_blocks * sizeof(Torus);
radix->ptr = (void *)cuda_malloc_with_size_tracking_async(
size, stream, gpu_index, size_tracker, allocate_gpu_memory);
@@ -64,7 +63,6 @@ void as_radix_ciphertext_slice(CudaRadixCiphertextFFI *output_radix,
auto lwe_size = input_radix->lwe_dimension + 1;
output_radix->num_radix_blocks = end_input_lwe_index - start_input_lwe_index;
output_radix->num_radix_ciphertexts = input_radix->num_radix_ciphertexts;
output_radix->max_num_radix_blocks = input_radix->max_num_radix_blocks;
output_radix->lwe_dimension = input_radix->lwe_dimension;
Torus *in_ptr = (Torus *)input_radix->ptr;

View File

@@ -183,7 +183,6 @@ pub struct CudaRadixCiphertextFFI {
pub num_radix_blocks: u32,
pub max_num_radix_blocks: u32,
pub lwe_dimension: u32,
pub num_radix_ciphertexts: u32,
}
#[allow(clippy::unnecessary_operation, clippy::identity_op)]
const _: () = {
@@ -202,8 +201,6 @@ const _: () = {
[::std::mem::offset_of!(CudaRadixCiphertextFFI, max_num_radix_blocks) - 28usize];
["Offset of field: CudaRadixCiphertextFFI::lwe_dimension"]
[::std::mem::offset_of!(CudaRadixCiphertextFFI, lwe_dimension) - 32usize];
["Offset of field: CudaRadixCiphertextFFI::num_radix_ciphertexts"]
[::std::mem::offset_of!(CudaRadixCiphertextFFI, num_radix_ciphertexts) - 36usize];
};
#[repr(C)]
#[derive(Debug, Copy, Clone)]
@@ -811,7 +808,6 @@ unsafe extern "C" {
carry_modulus: u32,
pbs_type: PBS_TYPE,
requested_flag: u32,
uses_carry: u32,
allocate_gpu_memory: bool,
noise_reduction_type: PBS_MS_REDUCTION_T,
) -> u64;
@@ -834,7 +830,6 @@ unsafe extern "C" {
carry_modulus: u32,
pbs_type: PBS_TYPE,
requested_flag: u32,
uses_carry: u32,
allocate_gpu_memory: bool,
noise_reduction_type: PBS_MS_REDUCTION_T,
) -> u64;

View File

@@ -83,18 +83,6 @@ image_name = "Ubuntu Server 22.04 LTS R570 CUDA 12.8"
flavor_name = "n3-A100x8-NVLink"
user = "ubuntu"
[backend.hyperstack.multi-gpu-test]
environment_name = "canada"
image_name = "Ubuntu Server 22.04 LTS R570 CUDA 12.8"
flavor_name = "n3-L40x4"
user = "ubuntu"
[backend.hyperstack.multi-gpu-test_fallback]
environment_name = "canada"
image_name = "Ubuntu Server 22.04 LTS R570 CUDA 12.8"
flavor_name = "n3-RTX-A6000x2"
user = "ubuntu"
[backend.hyperstack.l40]
environment_name = "canada"
image_name = "Ubuntu Server 22.04 LTS R570 CUDA 12.8"
@@ -106,3 +94,9 @@ environment_name = "canada"
image_name = "Ubuntu Server 22.04 LTS R570 CUDA 12.8"
flavor_name = "n3-RTX-A6000x1"
user = "ubuntu"
[backend.hyperstack.4-l40]
environment_name = "canada"
image_name = "Ubuntu Server 22.04 LTS R570 CUDA 12.8"
flavor_name = "n3-L40x4"
user = "ubuntu"

View File

@@ -90,12 +90,6 @@ path = "benches/high_level_api/noise_squash.rs"
harness = false
required-features = ["integer", "internal-keycache"]
[[bench]]
name = "hlapi-arrays"
path = "benches/high_level_api/arrays.rs"
harness = false
required-features = ["integer", "internal-keycache"]
[[bench]]
name = "glwe_packing_compression-integer-bench"
path = "benches/integer/glwe_packing_compression.rs"

View File

@@ -1,63 +0,0 @@
use benchmark::params_aliases::BENCH_PARAM_GPU_MULTI_BIT_GROUP_4_MESSAGE_2_CARRY_2_KS_PBS_TUNIFORM_2M128;
use benchmark::utilities::{write_to_json, OperatorType};
use criterion::Criterion;
use rand::prelude::*;
use tfhe::array::GpuFheUint64Array;
use tfhe::keycache::NamedParam;
use tfhe::prelude::*;
use tfhe::{ClientKey, CompressedServerKey};
#[cfg(feature = "gpu")]
fn main() {
let cks = {
use tfhe::{set_server_key, ConfigBuilder};
let config = ConfigBuilder::with_custom_parameters(
BENCH_PARAM_GPU_MULTI_BIT_GROUP_4_MESSAGE_2_CARRY_2_KS_PBS_TUNIFORM_2M128,
)
.build();
let cks = ClientKey::generate(config);
let compressed_sks = CompressedServerKey::new(&cks);
set_server_key(compressed_sks.decompress_to_gpu());
cks
};
let array_dim = 32;
let num_elems = array_dim * array_dim;
let mut rng = thread_rng();
let clear_xs = (0..num_elems as u64)
.map(|_| rng.gen::<u64>())
.collect::<Vec<_>>();
let clear_ys = (0..num_elems as u64)
.map(|_| rng.gen::<u64>())
.collect::<Vec<_>>();
let xs =
GpuFheUint64Array::try_encrypt((clear_xs.as_slice(), vec![array_dim, array_dim]), &cks)
.unwrap();
let ys =
GpuFheUint64Array::try_encrypt((clear_ys.as_slice(), vec![array_dim, array_dim]), &cks)
.unwrap();
let mut c = Criterion::default().configure_from_args();
let bench_id = format!("bench::hlapi::array::cuda::bitand::");
c.bench_function(&bench_id, |b| {
b.iter(|| {
let _ = &xs & &ys;
})
});
let params = cks.computation_parameters();
write_to_json::<u64, _>(
&bench_id,
params,
params.name(),
"erc20-transfer",
&OperatorType::Atomic,
64,
vec![],
);
c.final_summary();
}

View File

@@ -421,23 +421,32 @@ pub fn throughput_num_threads(num_block: usize, op_pbs_count: u64) -> u64 {
let block_multiplicator = (ref_block_count as f64 / num_block as f64).ceil().min(1.0);
// Some operations with a high serial workload (e.g. division) would yield an operation
// loading value so low that the number of elements in the end wouldn't be meaningful.
let minimum_loading = if num_block < 64 { 0.2 } else { 0.01 };
let minimum_loading = if num_block < 64 { 1.0 } else { 0.015 };
#[cfg(feature = "gpu")]
{
let num_sms_per_gpu = get_number_of_sms();
let total_num_sm = num_sms_per_gpu * get_number_of_gpus();
let total_blocks_per_sm = 4u32; // Assume each SM can handle 4 blocks concurrently
let total_num_sm = total_blocks_per_sm * total_num_sm;
let total_blocks_per_sm = 4u64; // Assume each SM can handle 4 blocks concurrently
let min_num_waves = 4u64; //Enforce at least 4 waves in the GPU
let elements_per_wave = total_num_sm as u64 / (num_block as u64);
let block_factor = ((2.0f64 * num_block as f64) / 4.0f64).ceil() as u64;
let elements_per_wave = total_blocks_per_sm * total_num_sm as u64 / block_factor;
// We need to enable the new load for pbs benches and for sizes larger than 16 blocks in
// demanding operations for the rest of operations we maintain a minimum of 200
// elements
let min_elements = if op_pbs_count == 1
|| (op_pbs_count > (num_block * num_block) as u64 && num_block >= 16)
{
elements_per_wave * min_num_waves
} else {
200u64
};
let operation_loading = ((total_num_sm as u64 / op_pbs_count) as f64).max(minimum_loading);
let elements = (total_num_sm as f64 * block_multiplicator * operation_loading) as u64;
elements.min(elements_per_wave * min_num_waves) // This threshold is useful for operation
// with both a small number of
// block and low PBs count.
elements.min(min_elements) // This threshold is useful for operation
// with both a small number of
// block and low PBs count.
}
#[cfg(feature = "hpu")]
{

View File

@@ -104,19 +104,12 @@ impl<T: UnsignedInteger> CudaLweCiphertextList<T> {
.map(|list| list.0.lwe_ciphertext_count.0)
.sum(),
);
assert_ne!(
lwe_ciphertext_count.0, 0,
"Empty iterator of CudaLweCiphertextList"
);
let stream_count = lwe_ciphertext_count.0.min(6);
let mut new_streams: Vec<CudaStreams> = Vec::with_capacity(stream_count);
for _ in 0..stream_count {
let stream = CudaStreams::new_single_gpu(streams.gpu_indexes[0]);
new_streams.push(stream);
}
let first_item = cuda_ciphertexts_list_vec.next().unwrap();
let lwe_dimension = first_item.lwe_dimension();
let mut d_vec = CudaVec::new(
@@ -130,20 +123,25 @@ impl<T: UnsignedInteger> CudaLweCiphertextList<T> {
* std::mem::size_of::<T>();
// Concatenate gpu_index memory
unsafe {
for (i, list) in cuda_ciphertexts_list_vec.enumerate() {
cuda_memcpy_async_gpu_to_gpu(
ptr,
first_item.0.d_vec.as_c_ptr(0),
size as u64,
streams.ptr[0],
streams.gpu_indexes[0].get(),
);
ptr = ptr.wrapping_byte_add(size);
for list in cuda_ciphertexts_list_vec {
cuda_memcpy_async_gpu_to_gpu(
ptr,
list.0.d_vec.as_c_ptr(0),
size as u64,
new_streams[i % stream_count].ptr[0],
new_streams[i % stream_count].gpu_indexes[0].get(),
streams.ptr[0],
streams.gpu_indexes[0].get(),
);
ptr = ptr.wrapping_byte_add(size);
}
}
for s in new_streams.iter() {
s.synchronize();
}
let cuda_lwe_list = CudaLweList {
d_vec,

View File

@@ -840,7 +840,6 @@ pub unsafe fn add_lwe_ciphertext_vector_async<T: UnsignedInteger>(
num_radix_blocks: num_samples,
max_num_radix_blocks: num_samples,
lwe_dimension: lwe_dimension.0 as u32,
num_radix_ciphertexts: 1u32,
};
let lwe_array_in_1_data = CudaRadixCiphertextFFI {
ptr: lwe_array_in_1.get_mut_c_ptr(0),
@@ -849,7 +848,6 @@ pub unsafe fn add_lwe_ciphertext_vector_async<T: UnsignedInteger>(
num_radix_blocks: num_samples,
max_num_radix_blocks: num_samples,
lwe_dimension: lwe_dimension.0 as u32,
num_radix_ciphertexts: 1u32,
};
let lwe_array_in_2_data = CudaRadixCiphertextFFI {
ptr: lwe_array_in_2.get_mut_c_ptr(0),
@@ -858,7 +856,6 @@ pub unsafe fn add_lwe_ciphertext_vector_async<T: UnsignedInteger>(
num_radix_blocks: num_samples,
max_num_radix_blocks: num_samples,
lwe_dimension: lwe_dimension.0 as u32,
num_radix_ciphertexts: 1u32,
};
cuda_add_lwe_ciphertext_vector_64(
streams.ptr[0],
@@ -893,7 +890,6 @@ pub unsafe fn add_lwe_ciphertext_vector_assign_async<T: UnsignedInteger>(
num_radix_blocks: num_samples,
max_num_radix_blocks: num_samples,
lwe_dimension: lwe_dimension.0 as u32,
num_radix_ciphertexts: 1u32,
};
let lwe_array_in_data = CudaRadixCiphertextFFI {
ptr: lwe_array_in.get_mut_c_ptr(0),
@@ -902,7 +898,6 @@ pub unsafe fn add_lwe_ciphertext_vector_assign_async<T: UnsignedInteger>(
num_radix_blocks: num_samples,
max_num_radix_blocks: num_samples,
lwe_dimension: lwe_dimension.0 as u32,
num_radix_ciphertexts: 1u32,
};
cuda_add_lwe_ciphertext_vector_64(
streams.ptr[0],

View File

@@ -19,8 +19,7 @@ use crate::integer::block_decomposition::{
DecomposableInto, RecomposableFrom, RecomposableSignedInteger,
};
use crate::integer::gpu::ciphertext::{
CudaIntegerRadixCiphertext, CudaRadixCiphertext, CudaSignedRadixCiphertext,
CudaUnsignedRadixCiphertext,
CudaIntegerRadixCiphertext, CudaSignedRadixCiphertext, CudaUnsignedRadixCiphertext,
};
use crate::integer::server_key::radix_parallel::scalar_div_mod::SignedReciprocable;
use crate::integer::server_key::{Reciprocable, ScalarMultiplier};
@@ -84,12 +83,6 @@ impl<'a, T> TensorSlice<'a, GpuSlice<'a, T>> {
pub fn par_iter(self) -> ParStridedIter<'a, T> {
ParStridedIter::new(self.slice.0, self.dims.clone())
}
pub fn len(&self) -> usize {
self.dims.flattened_len()
}
pub fn as_slice(&self) -> &'a [T] {
self.slice.0
}
}
impl<'a, T> TensorSlice<'a, GpuSliceMut<'a, T>> {
@@ -323,25 +316,7 @@ where
lhs: TensorSlice<'_, Self::Slice<'a>>,
rhs: TensorSlice<'_, Self::Slice<'a>>,
) -> Self::Owned {
GpuOwned(global_state::with_cuda_internal_keys(|cuda_key| {
let streams = &cuda_key.streams;
let num_ciphertexts = lhs.len() as u32;
let lhs_slice: &[T] = lhs.as_slice();
let rhs_slice: &[T] = rhs.as_slice();
let mut lhs_aligned = T::from(CudaRadixCiphertext::from_radix_ciphertext_vec(
lhs_slice, streams,
));
let rhs_aligned = T::from(CudaRadixCiphertext::from_radix_ciphertext_vec(
rhs_slice, streams,
));
crate::integer::gpu::CudaServerKey::bitand_vec(
cuda_key.pbs_key(),
&mut lhs_aligned,
&rhs_aligned,
num_ciphertexts,
streams,
)
}))
par_map_sks_op_on_pair_of_elements(lhs, rhs, crate::integer::gpu::CudaServerKey::bitand)
}
fn bitor<'a>(

View File

@@ -28,12 +28,6 @@ impl<'a, T> TensorSlice<'a, &'a [T]> {
pub fn par_iter(self) -> ParStridedIter<'a, T> {
ParStridedIter::new(self.slice, self.dims.clone())
}
pub fn len(&self) -> usize {
self.dims.flattened_len()
}
pub fn as_slice(&self) -> &'a [T] {
self.slice
}
}
impl<'a, T> TensorSlice<'a, &'a mut [T]> {

View File

@@ -7,7 +7,7 @@ pub mod squashed_noise;
use crate::core_crypto::gpu::lwe_ciphertext_list::CudaLweCiphertextList;
use crate::core_crypto::gpu::vec::CudaVec;
use crate::core_crypto::gpu::{CudaLweList, CudaStreams};
use crate::core_crypto::gpu::CudaStreams;
use crate::core_crypto::prelude::{LweCiphertextList, LweCiphertextOwned};
use crate::integer::gpu::ciphertext::info::{CudaBlockInfo, CudaRadixCiphertextInfo};
use crate::integer::parameters::LweDimension;
@@ -15,7 +15,6 @@ use crate::integer::{IntegerCiphertext, RadixCiphertext, SignedRadixCiphertext};
use crate::shortint::{Ciphertext, EncryptionKeyChoice};
use crate::GpuIndex;
use crate::shortint::parameters::LweCiphertextCount;
pub use compressed_noise_squashed_ciphertext_list::*;
pub trait CudaIntegerRadixCiphertext: Sized {
@@ -71,68 +70,8 @@ pub trait CudaIntegerRadixCiphertext: Sized {
fn gpu_indexes(&self) -> &[GpuIndex] {
&self.as_ref().d_blocks.0.d_vec.gpu_indexes
}
// Converts a CudaIntegerRadixCiphertext with num_blocks * num_ciphertexts LWEs into a
// Vec<CudaIntegerRadixCiphertext> of length num_radix_ciphertexts, where each ciphertext has
// num_blocks LWEs
fn to_integer_radix_ciphertext_vec(
&self,
num_radix_ciphertexts: u32,
streams: &CudaStreams,
) -> Vec<Self> {
let total_blocks = self.as_ref().d_blocks.0.lwe_ciphertext_count.0;
assert_eq!(total_blocks % num_radix_ciphertexts as usize, 0, "Total number of blocks ({total_blocks}) is not divisible by number of radix ciphertexts ({num_radix_ciphertexts})");
let num_blocks = total_blocks / num_radix_ciphertexts as usize;
let mut result = Vec::with_capacity(num_radix_ciphertexts as usize);
let lwe_dimension = self.as_ref().d_blocks.lwe_dimension();
for i in 0..num_radix_ciphertexts as usize {
let block_start = i * num_blocks;
let block_end = block_start + num_blocks;
let d_vec = unsafe {
let mut d_vec =
CudaVec::new_async(lwe_dimension.to_lwe_size().0 * num_blocks, streams, 0);
let copy_start = block_start * lwe_dimension.to_lwe_size().0;
let copy_end = block_end * lwe_dimension.to_lwe_size().0;
d_vec.copy_src_range_gpu_to_gpu_async(
copy_start..copy_end,
&self.as_ref().d_blocks.0.d_vec,
streams,
0,
);
streams.synchronize();
d_vec
};
let lwe_list = CudaLweList::<u64> {
d_vec,
lwe_ciphertext_count: LweCiphertextCount(num_blocks),
lwe_dimension,
ciphertext_modulus: self.as_ref().d_blocks.ciphertext_modulus(),
};
// Copy the associated block metadata
let block_info = self.as_ref().info.blocks[block_start..block_end].to_vec();
let info = CudaRadixCiphertextInfo { blocks: block_info };
result.push(Self::from(CudaRadixCiphertext::new(
CudaLweCiphertextList(lwe_list),
info,
)));
}
result
}
}
/// This struct corresponds to the pointers on GPU and
/// metadata representing an array of LWEs corresponding
/// to one or more RadixCiphertexts
pub struct CudaRadixCiphertext {
pub d_blocks: CudaLweCiphertextList<u64>,
pub info: CudaRadixCiphertextInfo,

View File

@@ -183,25 +183,6 @@ fn prepare_cuda_radix_ffi(
num_radix_blocks: input.d_blocks.0.lwe_ciphertext_count.0 as u32,
max_num_radix_blocks: input.d_blocks.0.lwe_ciphertext_count.0 as u32,
lwe_dimension: input.d_blocks.0.lwe_dimension.0 as u32,
num_radix_ciphertexts: 1u32,
}
}
fn prepare_cuda_radix_vec_ffi(
input: &CudaRadixCiphertext,
degrees_vec: &mut Vec<u64>,
noise_levels_vec: &mut Vec<u64>,
num_radix_ciphertexts: u32,
) -> CudaRadixCiphertextFFI {
CudaRadixCiphertextFFI {
ptr: input.d_blocks.0.d_vec.get_mut_c_ptr(0),
degrees: degrees_vec.as_mut_ptr(),
noise_levels: noise_levels_vec.as_mut_ptr(),
num_radix_blocks: input.d_blocks.0.lwe_ciphertext_count.0 as u32 / num_radix_ciphertexts,
max_num_radix_blocks: input.d_blocks.0.lwe_ciphertext_count.0 as u32
/ num_radix_ciphertexts,
lwe_dimension: input.d_blocks.0.lwe_dimension.0 as u32,
num_radix_ciphertexts,
}
}
@@ -219,7 +200,6 @@ fn prepare_cuda_radix_ffi_from_slice<T: UnsignedInteger>(
num_radix_blocks,
max_num_radix_blocks: num_radix_blocks,
lwe_dimension,
num_radix_ciphertexts: 1u32,
}
}
@@ -237,7 +217,6 @@ fn prepare_cuda_radix_ffi_from_slice_mut<T: UnsignedInteger>(
num_radix_blocks,
max_num_radix_blocks: num_radix_blocks,
lwe_dimension,
num_radix_ciphertexts: 1u32,
}
}
@@ -2344,7 +2323,6 @@ pub(crate) unsafe fn propagate_single_carry_assign_async<T: UnsignedInteger, B:
carry_modulus.0 as u32,
pbs_type as u32,
requested_flag as u32,
uses_carry,
true,
noise_reduction_type as u32,
);
@@ -2381,7 +2359,6 @@ pub(crate) fn get_propagate_single_carry_assign_async_size_on_gpu(
pbs_type: PBSType,
grouping_factor: LweBskGroupingFactor,
requested_flag: OutputFlag,
uses_carry: u32,
ms_noise_reduction_configuration: Option<&CudaModulusSwitchNoiseReductionConfiguration>,
) -> u64 {
let noise_reduction_type = resolve_noise_reduction_type(ms_noise_reduction_configuration);
@@ -2406,7 +2383,6 @@ pub(crate) fn get_propagate_single_carry_assign_async_size_on_gpu(
carry_modulus.0 as u32,
pbs_type as u32,
requested_flag as u32,
uses_carry,
false,
noise_reduction_type as u32,
)
@@ -2433,7 +2409,6 @@ pub(crate) fn get_add_and_propagate_single_carry_assign_async_size_on_gpu(
pbs_type: PBSType,
grouping_factor: LweBskGroupingFactor,
requested_flag: OutputFlag,
uses_carry: u32,
ms_noise_reduction_configuration: Option<&CudaModulusSwitchNoiseReductionConfiguration>,
) -> u64 {
let noise_reduction_type = resolve_noise_reduction_type(ms_noise_reduction_configuration);
@@ -2458,7 +2433,6 @@ pub(crate) fn get_add_and_propagate_single_carry_assign_async_size_on_gpu(
carry_modulus.0 as u32,
pbs_type as u32,
requested_flag as u32,
uses_carry,
false,
noise_reduction_type as u32,
)
@@ -2780,7 +2754,6 @@ pub(crate) unsafe fn add_and_propagate_single_carry_assign_async<T: UnsignedInte
carry_modulus.0 as u32,
pbs_type as u32,
requested_flag as u32,
uses_carry,
true,
noise_reduction_type as u32,
);
@@ -7625,143 +7598,3 @@ pub unsafe fn expand_async<T: UnsignedInteger, B: Numeric>(
);
cleanup_expand_without_verification_64(streams.ffi(), std::ptr::addr_of_mut!(mem_ptr));
}
#[allow(clippy::too_many_arguments)]
/// # Safety
///
/// This operation modifies raw GPU pointers on the GPU
pub unsafe fn unchecked_bitop_vec_radix_kb_assign<T: UnsignedInteger, B: Numeric>(
streams: &CudaStreams,
radix_lwe_left: &mut CudaRadixCiphertext,
radix_lwe_right: &CudaRadixCiphertext,
bootstrapping_key: &CudaVec<B>,
keyswitch_key: &CudaVec<T>,
message_modulus: MessageModulus,
carry_modulus: CarryModulus,
glwe_dimension: GlweDimension,
polynomial_size: PolynomialSize,
big_lwe_dimension: LweDimension,
small_lwe_dimension: LweDimension,
ks_level: DecompositionLevelCount,
ks_base_log: DecompositionBaseLog,
pbs_level: DecompositionLevelCount,
pbs_base_log: DecompositionBaseLog,
op: BitOpType,
num_blocks: u32,
num_radix_ciphertexts: u32,
pbs_type: PBSType,
grouping_factor: LweBskGroupingFactor,
ms_noise_reduction_configuration: Option<&CudaModulusSwitchNoiseReductionConfiguration>,
) {
assert_eq!(
streams.gpu_indexes[0],
radix_lwe_left.d_blocks.0.d_vec.gpu_index(0),
"GPU error: first stream is on GPU {}, first lhs pointer is on GPU {}",
streams.gpu_indexes[0].get(),
radix_lwe_left.d_blocks.0.d_vec.gpu_index(0).get(),
);
assert_eq!(
streams.gpu_indexes[0],
radix_lwe_right.d_blocks.0.d_vec.gpu_index(0),
"GPU error: first stream is on GPU {}, first rhs pointer is on GPU {}",
streams.gpu_indexes[0].get(),
radix_lwe_right.d_blocks.0.d_vec.gpu_index(0).get(),
);
assert_eq!(
streams.gpu_indexes[0],
bootstrapping_key.gpu_index(0),
"GPU error: first stream is on GPU {}, first bsk pointer is on GPU {}",
streams.gpu_indexes[0].get(),
bootstrapping_key.gpu_index(0).get(),
);
assert_eq!(
streams.gpu_indexes[0],
keyswitch_key.gpu_index(0),
"GPU error: first stream is on GPU {}, first ksk pointer is on GPU {}",
streams.gpu_indexes[0].get(),
keyswitch_key.gpu_index(0).get(),
);
let ct_modulus = radix_lwe_left
.d_blocks
.ciphertext_modulus()
.raw_modulus_float();
let (noise_reduction_type, ms_noise_reduction_key_ffi) =
resolve_ms_noise_reduction_config(ms_noise_reduction_configuration, ct_modulus);
let mut mem_ptr: *mut i8 = std::ptr::null_mut();
let mut radix_lwe_left_degrees = radix_lwe_left
.info
.blocks
.iter()
.map(|b| b.degree.0)
.collect();
let mut radix_lwe_left_noise_levels = radix_lwe_left
.info
.blocks
.iter()
.map(|b| b.noise_level.0)
.collect();
let mut cuda_ffi_radix_lwe_left = prepare_cuda_radix_vec_ffi(
radix_lwe_left,
&mut radix_lwe_left_degrees,
&mut radix_lwe_left_noise_levels,
num_radix_ciphertexts,
);
// Here even though the input is not modified, data is passed as mutable.
// This avoids having to create two structs for the CudaRadixCiphertext pointers,
// one const and the other mutable.
// Having two structs on the Cuda side complicates things as we need to be sure we pass the
// Const structure as input instead of the mutable structure, which leads to complicated
// data manipulation on the C++ side to change mutability of data.
let mut radix_lwe_right_degrees = radix_lwe_right
.info
.blocks
.iter()
.map(|b| b.degree.0)
.collect();
let mut radix_lwe_right_noise_levels = radix_lwe_right
.info
.blocks
.iter()
.map(|b| b.noise_level.0)
.collect();
let cuda_ffi_radix_lwe_right = prepare_cuda_radix_vec_ffi(
radix_lwe_right,
&mut radix_lwe_right_degrees,
&mut radix_lwe_right_noise_levels,
num_radix_ciphertexts,
);
scratch_cuda_integer_radix_bitop_kb_64(
streams.ffi(),
std::ptr::addr_of_mut!(mem_ptr),
glwe_dimension.0 as u32,
polynomial_size.0 as u32,
big_lwe_dimension.0 as u32,
small_lwe_dimension.0 as u32,
ks_level.0 as u32,
ks_base_log.0 as u32,
pbs_level.0 as u32,
pbs_base_log.0 as u32,
grouping_factor.0 as u32,
num_blocks * num_radix_ciphertexts,
message_modulus.0 as u32,
carry_modulus.0 as u32,
pbs_type as u32,
op as u32,
true,
noise_reduction_type as u32,
);
cuda_bitop_integer_radix_ciphertext_kb_64(
streams.ffi(),
&raw mut cuda_ffi_radix_lwe_left,
&raw const cuda_ffi_radix_lwe_left,
&raw const cuda_ffi_radix_lwe_right,
mem_ptr,
bootstrapping_key.ptr.as_ptr(),
keyswitch_key.ptr.as_ptr(),
&raw const ms_noise_reduction_key_ffi,
);
cleanup_cuda_integer_bitop(streams.ffi(), std::ptr::addr_of_mut!(mem_ptr));
update_noise_degree(radix_lwe_left, &cuda_ffi_radix_lwe_left);
streams.synchronize();
}

View File

@@ -214,7 +214,6 @@ impl CudaServerKey {
PBSType::Classical,
LweBskGroupingFactor(0),
OutputFlag::None,
0u32,
d_bsk.ms_noise_reduction_configuration.as_ref(),
)
}
@@ -234,7 +233,6 @@ impl CudaServerKey {
PBSType::MultiBit,
d_multibit_bsk.grouping_factor,
OutputFlag::None,
0u32,
None,
)
}

View File

@@ -10,8 +10,7 @@ use crate::integer::gpu::ciphertext::CudaIntegerRadixCiphertext;
use crate::integer::gpu::server_key::CudaBootstrappingKey;
use crate::integer::gpu::{
get_bitop_integer_radix_kb_size_on_gpu, get_full_propagate_assign_size_on_gpu,
unchecked_bitop_integer_radix_kb_assign_async, unchecked_bitop_vec_radix_kb_assign, BitOpType,
CudaServerKey, PBSType,
unchecked_bitop_integer_radix_kb_assign_async, BitOpType, CudaServerKey, PBSType,
};
impl CudaServerKey {
@@ -978,142 +977,4 @@ impl CudaServerKey {
let bitnot_mem = (lwe_ciphertext_count.0 * size_of::<u64>()) as u64;
full_prop_mem.max(bitnot_mem)
}
pub fn unchecked_bitop_vec_assign<T: CudaIntegerRadixCiphertext>(
&self,
ct_left: &mut T,
ct_right: &T,
op: BitOpType,
num_radix_ciphertexts: u32,
streams: &CudaStreams,
) {
assert_eq!(
ct_left.as_ref().d_blocks.lwe_dimension(),
ct_right.as_ref().d_blocks.lwe_dimension()
);
assert_eq!(
ct_left.as_ref().d_blocks.lwe_ciphertext_count(),
ct_right.as_ref().d_blocks.lwe_ciphertext_count()
);
let num_blocks =
ct_left.as_ref().d_blocks.lwe_ciphertext_count().0 as u32 / num_radix_ciphertexts;
unsafe {
match &self.bootstrapping_key {
CudaBootstrappingKey::Classic(d_bsk) => {
unchecked_bitop_vec_radix_kb_assign(
streams,
ct_left.as_mut(),
ct_right.as_ref(),
&d_bsk.d_vec,
&self.key_switching_key.d_vec,
self.message_modulus,
self.carry_modulus,
d_bsk.glwe_dimension,
d_bsk.polynomial_size,
self.key_switching_key
.input_key_lwe_size()
.to_lwe_dimension(),
self.key_switching_key
.output_key_lwe_size()
.to_lwe_dimension(),
self.key_switching_key.decomposition_level_count(),
self.key_switching_key.decomposition_base_log(),
d_bsk.decomp_level_count,
d_bsk.decomp_base_log,
op,
num_blocks,
num_radix_ciphertexts,
PBSType::Classical,
LweBskGroupingFactor(0),
d_bsk.ms_noise_reduction_configuration.as_ref(),
);
}
CudaBootstrappingKey::MultiBit(d_multibit_bsk) => {
unchecked_bitop_vec_radix_kb_assign(
streams,
ct_left.as_mut(),
ct_right.as_ref(),
&d_multibit_bsk.d_vec,
&self.key_switching_key.d_vec,
self.message_modulus,
self.carry_modulus,
d_multibit_bsk.glwe_dimension,
d_multibit_bsk.polynomial_size,
self.key_switching_key
.input_key_lwe_size()
.to_lwe_dimension(),
self.key_switching_key
.output_key_lwe_size()
.to_lwe_dimension(),
self.key_switching_key.decomposition_level_count(),
self.key_switching_key.decomposition_base_log(),
d_multibit_bsk.decomp_level_count,
d_multibit_bsk.decomp_base_log,
op,
num_blocks,
num_radix_ciphertexts,
PBSType::MultiBit,
d_multibit_bsk.grouping_factor,
None,
);
}
}
}
}
pub fn unchecked_bitand_vec<T: CudaIntegerRadixCiphertext>(
&self,
ct_left: &T,
ct_right: &T,
num_radix_ciphertexts: u32,
streams: &CudaStreams,
) -> T {
let mut result = unsafe { ct_left.duplicate_async(streams) };
self.unchecked_bitop_vec_assign(
&mut result,
ct_right,
BitOpType::And,
num_radix_ciphertexts,
streams,
);
result
}
pub fn bitand_vec<T: CudaIntegerRadixCiphertext>(
&self,
ct_left: &mut T,
ct_right: &T,
num_radix_ciphertexts: u32,
streams: &CudaStreams,
) -> Vec<T> {
let mut tmp_rhs;
let (lhs, rhs) = unsafe {
match (
ct_left.block_carries_are_empty(),
ct_right.block_carries_are_empty(),
) {
(true, true) => (ct_left, ct_right),
(true, false) => {
tmp_rhs = ct_right.duplicate_async(streams);
self.full_propagate_assign_async(&mut tmp_rhs, streams);
(ct_left, &tmp_rhs)
}
(false, true) => {
self.full_propagate_assign_async(ct_left, streams);
(ct_left, ct_right)
}
(false, false) => {
tmp_rhs = ct_right.duplicate_async(streams);
self.full_propagate_assign_async(ct_left, streams);
self.full_propagate_assign_async(&mut tmp_rhs, streams);
(ct_left, &tmp_rhs)
}
}
};
let result = self.unchecked_bitand_vec(lhs, rhs, num_radix_ciphertexts, streams);
result.to_integer_radix_ciphertext_vec(num_radix_ciphertexts, streams)
}
}

View File

@@ -1,6 +1,6 @@
use crate::core_crypto::gpu::lwe_ciphertext_list::CudaLweCiphertextList;
use crate::core_crypto::gpu::CudaStreams;
use crate::core_crypto::prelude::{CiphertextModulus, LweBskGroupingFactor, LweCiphertextCount};
use crate::core_crypto::prelude::{LweBskGroupingFactor, LweCiphertextCount};
use crate::integer::gpu::ciphertext::boolean_value::CudaBooleanBlock;
use crate::integer::gpu::ciphertext::info::CudaRadixCiphertextInfo;
use crate::integer::gpu::ciphertext::{CudaIntegerRadixCiphertext, CudaRadixCiphertext};
@@ -38,7 +38,7 @@ impl CudaServerKey {
let block = CudaLweCiphertextList::new(
ct_left.as_ref().d_blocks.lwe_dimension(),
LweCiphertextCount(1),
CiphertextModulus::new_native(),
self.ciphertext_modulus,
streams,
);
let mut block_info = ct_left.as_ref().info.blocks[0];

View File

@@ -261,7 +261,6 @@ impl CudaServerKey {
PBSType::Classical,
LweBskGroupingFactor(0),
OutputFlag::None,
0u32,
d_bsk.ms_noise_reduction_configuration.as_ref(),
)
}
@@ -281,7 +280,6 @@ impl CudaServerKey {
PBSType::MultiBit,
d_multibit_bsk.grouping_factor,
OutputFlag::None,
0u32,
None,
)
}

View File

@@ -1,7 +1,7 @@
use crate::core_crypto::gpu::lwe_ciphertext_list::CudaLweCiphertextList;
use crate::core_crypto::gpu::vec::CudaVec;
use crate::core_crypto::gpu::CudaStreams;
use crate::core_crypto::prelude::{CiphertextModulus, LweBskGroupingFactor, LweCiphertextCount};
use crate::core_crypto::prelude::{LweBskGroupingFactor, LweCiphertextCount};
use crate::integer::block_decomposition::{BlockDecomposer, DecomposableInto};
use crate::integer::gpu::ciphertext::boolean_value::CudaBooleanBlock;
use crate::integer::gpu::ciphertext::info::CudaRadixCiphertextInfo;
@@ -160,7 +160,7 @@ impl CudaServerKey {
let block = CudaLweCiphertextList::new(
ct.as_ref().d_blocks.lwe_dimension(),
LweCiphertextCount(1),
CiphertextModulus::new_native(),
self.ciphertext_modulus,
streams,
);
let mut block_info = ct.as_ref().info.blocks[0];

View File

@@ -8,7 +8,7 @@ use syn::{
use crate::{
add_lifetime_param, add_trait_where_clause, add_where_lifetime_bound_to_generics,
extend_where_clause, filter_unsized_bounds, parse_const_str, DESERIALIZE_TRAIT_NAME,
LIFETIME_NAME, SERIALIZE_TRAIT_NAME,
FROM_TRAIT_NAME, LIFETIME_NAME, RESULT_TYPE_NAME, SERIALIZE_TRAIT_NAME, TRY_FROM_TRAIT_NAME,
};
/// Generates an impl block for the From trait. This will be:
@@ -28,9 +28,11 @@ pub(crate) fn generate_from_trait_impl(
from_variable_name: &str,
) -> syn::Result<ItemImpl> {
let from_variable = Ident::new(from_variable_name, Span::call_site());
let from_trait: Path = parse_const_str(FROM_TRAIT_NAME);
Ok(parse_quote! {
#[automatically_derived]
impl #impl_generics From<#src> for #dest #where_clause {
impl #impl_generics #from_trait<#src> for #dest #where_clause {
fn from(#from_variable: #src) -> Self {
#constructor
}
@@ -57,11 +59,14 @@ pub(crate) fn generate_try_from_trait_impl(
from_variable_name: &str,
) -> syn::Result<ItemImpl> {
let from_variable = Ident::new(from_variable_name, Span::call_site());
let result_type: Path = parse_const_str(RESULT_TYPE_NAME);
let try_from_trait: Path = parse_const_str(TRY_FROM_TRAIT_NAME);
Ok(parse_quote! {
#[automatically_derived]
impl #impl_generics TryFrom<#src> for #dest #where_clause {
impl #impl_generics #try_from_trait<#src> for #dest #where_clause {
type Error = #error;
fn try_from(#from_variable: #src) -> Result<Self, Self::Error> {
fn try_from(#from_variable: #src) -> #result_type<Self, Self::Error> {
#constructor
}
}

View File

@@ -46,6 +46,7 @@ pub(crate) const UNVERSIONIZE_ERROR_NAME: &str = crate_full_path!("UnversionizeE
pub(crate) const SERIALIZE_TRAIT_NAME: &str = "::serde::Serialize";
pub(crate) const DESERIALIZE_TRAIT_NAME: &str = "::serde::Deserialize";
pub(crate) const DESERIALIZE_OWNED_TRAIT_NAME: &str = "::serde::de::DeserializeOwned";
pub(crate) const TRY_FROM_TRAIT_NAME: &str = "::core::convert::TryFrom";
pub(crate) const FROM_TRAIT_NAME: &str = "::core::convert::From";
pub(crate) const TRY_INTO_TRAIT_NAME: &str = "::core::convert::TryInto";
pub(crate) const INTO_TRAIT_NAME: &str = "::core::convert::Into";
@@ -53,6 +54,8 @@ pub(crate) const ERROR_TRAIT_NAME: &str = "::core::error::Error";
pub(crate) const SYNC_TRAIT_NAME: &str = "::core::marker::Sync";
pub(crate) const SEND_TRAIT_NAME: &str = "::core::marker::Send";
pub(crate) const DEFAULT_TRAIT_NAME: &str = "::core::default::Default";
pub(crate) const RESULT_TYPE_NAME: &str = "::core::result::Result";
pub(crate) const VEC_TYPE_NAME: &str = "::std::vec::Vec";
pub(crate) const STATIC_LIFETIME_NAME: &str = "'static";
use associated::AssociatingTrait;
@@ -240,6 +243,9 @@ pub fn derive_versionize(input: TokenStream) -> TokenStream {
let unversionize_body = implementor.unversionize_method_body(&unversionize_arg_name);
let unversionize_error: Path = parse_const_str(UNVERSIONIZE_ERROR_NAME);
let result_type: Path = parse_const_str(RESULT_TYPE_NAME);
let vec_type: Path = parse_const_str(VEC_TYPE_NAME);
quote! {
#version_trait_impl
@@ -269,7 +275,7 @@ pub fn derive_versionize(input: TokenStream) -> TokenStream {
impl #trait_impl_generics #unversionize_trait for #input_ident #ty_generics
#unversionize_trait_where_clause
{
fn unversionize(#unversionize_arg_name: Self::VersionedOwned) -> Result<Self, #unversionize_error> {
fn unversionize(#unversionize_arg_name: Self::VersionedOwned) -> #result_type<Self, #unversionize_error> {
#unversionize_body
}
}
@@ -278,7 +284,7 @@ pub fn derive_versionize(input: TokenStream) -> TokenStream {
impl #trait_impl_generics #versionize_slice_trait for #input_ident #ty_generics
#versionize_trait_where_clause
{
type VersionedSlice<#lifetime> = Vec<<Self as #versionize_trait>::Versioned<#lifetime>> #versioned_type_where_clause;
type VersionedSlice<#lifetime> = #vec_type<<Self as #versionize_trait>::Versioned<#lifetime>> #versioned_type_where_clause;
fn versionize_slice(slice: &[Self]) -> Self::VersionedSlice<'_> {
slice.iter().map(|val| #versionize_trait::versionize(val)).collect()
@@ -290,9 +296,9 @@ pub fn derive_versionize(input: TokenStream) -> TokenStream {
#versionize_owned_trait_where_clause
{
type VersionedVec = Vec<<Self as #versionize_owned_trait>::VersionedOwned> #versioned_owned_type_where_clause;
type VersionedVec = #vec_type<<Self as #versionize_owned_trait>::VersionedOwned> #versioned_owned_type_where_clause;
fn versionize_vec(vec: Vec<Self>) -> Self::VersionedVec {
fn versionize_vec(vec: #vec_type<Self>) -> Self::VersionedVec {
vec.into_iter().map(|val| #versionize_owned_trait::versionize_owned(val)).collect()
}
}
@@ -301,7 +307,7 @@ pub fn derive_versionize(input: TokenStream) -> TokenStream {
impl #trait_impl_generics #unversionize_vec_trait for #input_ident #ty_generics
#unversionize_trait_where_clause
{
fn unversionize_vec(versioned: Self::VersionedVec) -> Result<Vec<Self>, #unversionize_error> {
fn unversionize_vec(versioned: Self::VersionedVec) -> #result_type<#vec_type<Self>, #unversionize_error> {
versioned
.into_iter()
.map(|versioned| <Self as #unversionize_trait>::unversionize(versioned))
@@ -346,6 +352,8 @@ pub fn derive_not_versioned(input: TokenStream) -> TokenStream {
let unversionize_error: Path = parse_const_str(UNVERSIONIZE_ERROR_NAME);
let lifetime = Lifetime::new(LIFETIME_NAME, Span::call_site());
let result_type: Path = parse_const_str(RESULT_TYPE_NAME);
quote! {
#[automatically_derived]
impl #impl_generics #versionize_trait for #input_ident #ty_generics #versionize_where_clause {
@@ -367,7 +375,7 @@ pub fn derive_not_versioned(input: TokenStream) -> TokenStream {
#[automatically_derived]
impl #impl_generics #unversionize_trait for #input_ident #ty_generics #versionize_owned_where_clause {
fn unversionize(versioned: Self::VersionedOwned) -> Result<Self, #unversionize_error> {
fn unversionize(versioned: Self::VersionedOwned) -> #result_type<Self, #unversionize_error> {
Ok(versioned)
}
}