Support a dynamic-update-slice's operand coming from an entry computa… #503
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# Copyright 2025 The OpenXLA Authors. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
# ============================================================================ | |
name: Postsubmit Benchmarks | |
permissions: | |
contents: read | |
on: | |
workflow_dispatch: | |
inputs: | |
halt-for-connection: | |
description: 'Should this workflow run wait for a remote connection?' | |
type: choice | |
required: true | |
default: 'no' | |
options: | |
- 'yes' | |
- 'no' | |
push: | |
branches: | |
- main | |
concurrency: | |
group: ${{ github.workflow }}-${{ github.head_ref || github.ref }} | |
cancel-in-progress: ${{ github.ref != 'main' }} | |
jobs: | |
Tests: | |
strategy: | |
# Don't fail fast - want to see results for all builds even if one fails. | |
fail-fast: false | |
matrix: | |
job_info: [ | |
{ | |
pool: "linux-arm64-t2a-48", | |
container: "us-central1-docker.pkg.dev/tensorflow-sigs/tensorflow/ml-build-arm64:latest", | |
pretty_name: "XLA Linux ARM64 CPU 48 vcpu Presubmit", | |
bazel_arch_dir: "aarch64-opt", | |
platform: "CPU", | |
runner_binary: "hlo_runner_main", | |
hlo_test_file: "xla/tools/hlo_opt/tests/cpu_hlo.hlo" | |
}, | |
{ | |
pool: "linux-x86-n2-128", | |
container: "us-central1-docker.pkg.dev/tensorflow-sigs/tensorflow/ml-build:latest", | |
pretty_name: "XLA Linux x86 CPU 128 vcpu Presubmit", | |
bazel_arch_dir: "k8-opt", | |
platform: "CPU", | |
runner_binary: "hlo_runner_main", | |
hlo_test_file: "xla/tools/hlo_opt/tests/cpu_hlo.hlo" | |
}, | |
{ | |
pool: "linux-x86-g2-16-l4-1gpu", | |
container: "us-central1-docker.pkg.dev/tensorflow-sigs/tensorflow/ml-build-cuda12.8-cudnn9.8:latest", | |
pretty_name: "XLA Linux x86 GPU L4 16 vcpu Presubmit", | |
bazel_arch_dir: "k8-opt", | |
platform: "GPU", | |
runner_binary: "hlo_runner_main_gpu", | |
hlo_test_file: "xla/tools/hlo_opt/tests/gpu_hlo_backend.hlo" | |
}, | |
] | |
name: ${{ matrix.job_info.pretty_name }} | |
runs-on: ${{ matrix.job_info.pool }} | |
container: ${{ matrix.job_info.container }} | |
defaults: | |
run: | |
shell: bash | |
timeout-minutes: 60 | |
env: | |
OUTPUT_FILE_PATH: ${{ github.workspace }}/hlo_test_output.txt | |
steps: | |
- name: Print GitHub Context | |
run: | | |
echo "GitHub SHA: ${{ github.sha }}" | |
echo "GitHub Ref: ${{ github.ref }}" | |
echo "GitHub Ref Name: ${{ github.ref_name }}" | |
echo "GitHub Head Ref: ${{ github.head_ref }})" | |
echo "GitHub Base Ref: ${{ github.base_ref }})" | |
echo "GitHub Repository: ${{ github.repository }}" | |
echo "GitHub Run ID: ${{ github.run_id }}" | |
echo "GitHub Run Number: ${{ github.run_number }}" | |
echo "GitHub Workflow: ${{ github.workflow }}" | |
echo "GitHub Actor: ${{ github.actor }}" | |
echo "GitHub Event Name: ${{ github.event_name }}" | |
if [[ "${{ github.event_name }}" == "pull_request" ]]; then | |
echo "Pull Request Number: ${{ github.event.pull_request.number }}" | |
echo "Pull Request Head Ref: ${{ github.event.pull_request.head.ref }}" | |
echo "Pull Request Base Ref: ${{ github.event.pull_request.base.ref }}" | |
fi | |
# Find the current PR number, if any, because github context doesn't have it for push events. | |
- uses: jwalton/gh-find-current-pr@2f6a0c6ed5c54c19f04d8411e0723b3de68f464a # v1.3.3 | |
id: find_pr | |
with: | |
# Can be "open", "closed", or "all". Defaults to "open". | |
state: all | |
# This will echo "Your PR is 7", or be skipped if there is no current PR. | |
- run: echo "PR_NUMBER=${{ steps.find_pr.outputs.pr }}" | |
if: success() && steps.find_pr.outputs.number | |
env: | |
PR: ${{ steps.find_pr.outputs.pr }} | |
- name: Checkout OpenXLA | |
uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1 | |
- name: Wait For Connection | |
uses: google-ml-infra/actions/ci_connection@main | |
with: | |
halt-dispatch-input: ${{ inputs.halt-for-connection }} | |
- name: Configure GPU backend | |
if: ${{ matrix.job_info.platform == 'GPU' }} | |
run: | | |
./configure.py --backend=CUDA --cuda_compiler=nvcc | |
- name: "Run build.py" | |
run: | | |
./build_tools/ci/build.py --build="${{ matrix.job_info.pretty_name }}_github_actions" | |
# Run the corresponding HLO tests based on platform | |
- name: Run HLO tests | |
run: | | |
bazel_arch_dir="${{ matrix.job_info.bazel_arch_dir }}" | |
binary_dir="./bazel-out/${bazel_arch_dir}/bin/xla/tools" | |
runner_binary="${{ matrix.job_info.runner_binary }}" | |
test_hlo_file="${{ matrix.job_info.hlo_test_file }}" | |
platform="${{ matrix.job_info.platform }}" | |
output_file="$GITHUB_WORKSPACE/${test_hlo_file}_output.txt" | |
xspace_file="$GITHUB_WORKSPACE/xspace.pb" | |
echo "Running ${platform} test with binary: $binary_dir/$runner_binary" | |
pwd #print working directory | |
if [[ "$platform" == "CPU" ]]; then | |
$binary_dir/multihost_hlo_runner/$runner_binary --device_type=host --use_spmd_partitioning --profile_execution=True --xla_gpu_dump_xspace_to="$xspace_file" "$test_hlo_file" > "$output_file" | |
$binary_dir/compute_xspace_stats_main --input="$xspace_file" --device_type=CPU >> "$output_file" | |
elif [[ "$platform" == "GPU" ]]; then | |
$binary_dir/multihost_hlo_runner/$runner_binary --device_type=gpu --use_spmd_partitioning --profile_execution=True --xla_gpu_dump_xspace_to="$xspace_file" "$test_hlo_file" > "$output_file" | |
$binary_dir/compute_xspace_stats_main_gpu --input="$xspace_file" --device_type=GPU >> "$output_file" | |
else | |
echo "Unsupported platform: $platform" | |
exit 1 | |
fi | |
cat "$output_file" | |
echo "Output written to: $output_file" | |
echo "XSpace file written to: $xspace_file" | |
echo "OUTPUT_FILE=$output_file" >> "$GITHUB_ENV" | |
echo "XSPACE_FILE=$xspace_file" >> "$GITHUB_ENV" | |
- name: Upload HLO test output to a GCS bucket | |
run: | | |
GCS_BUCKET="gs://openxla-postsubmit-transient" | |
TIMESTAMP=$(date +%Y%m%d_%H%M%S) | |
DATE_FOLDER=$(date +%Y%m%d) | |
FILENAME=$(basename "$OUTPUT_FILE") | |
COMMIT_SHA="${{ github.sha }}" | |
RUN_ID="${{ github.run_id }}" | |
PR_NUMBER="${{ steps.find_pr.outputs.pr }}" | |
PLATFORM="${{ matrix.job_info.platform }}" | |
POOL="${{ matrix.job_info.pool }}" | |
PR_SUFFIX="" | |
if [[ -n "$PR_NUMBER" ]]; then | |
PR_SUFFIX="_pr_${PR_NUMBER}" | |
fi | |
GCS_OBJECT_NAME="${DATE_FOLDER}/${TIMESTAMP}_${POOL}_run_${RUN_ID}_commit_${COMMIT_SHA}${PR_SUFFIX}_${PLATFORM}_${FILENAME}" | |
echo "Uploading $OUTPUT_FILE to $GCS_BUCKET/$GCS_OBJECT_NAME" | |
ls -l "$OUTPUT_FILE" # Verify the file exists | |
gsutil cp "$OUTPUT_FILE" "$GCS_BUCKET/$GCS_OBJECT_NAME" | |
- name: Download Gemma Hlo Files | |
run: | | |
mkdir -p tmp_hlo | |
cd tmp_hlo | |
wget https://storage.googleapis.com/xla-benchmarking-temp/gemma3_1b_flax_call.hlo | |
cd .. | |
- name: Run Gemma HLO tests | |
if: ${{ matrix.job_info.pool != 'linux-arm64-t2a-48' }} | |
run: | | |
bazel_arch_dir="${{ matrix.job_info.bazel_arch_dir }}" | |
binary_dir="./bazel-out/${bazel_arch_dir}/bin/xla/tools" | |
runner_binary="${{ matrix.job_info.runner_binary }}" | |
test_hlo_file="tmp_hlo/gemma3_1b_flax_call.hlo" | |
platform="${{ matrix.job_info.platform }}" | |
output_file="$GITHUB_WORKSPACE/${test_hlo_file}_output.txt" | |
xspace_file="$GITHUB_WORKSPACE/xspace.pb" | |
if [[ "$platform" == "CPU" ]]; then | |
$binary_dir/multihost_hlo_runner/$runner_binary --device_type=host --use_spmd_partitioning --profile_execution=True --xla_gpu_dump_xspace_to="$xspace_file" "$test_hlo_file" > "$output_file" | |
$binary_dir/compute_xspace_stats_main --input="$xspace_file" --device_type=CPU >> "$output_file" | |
elif [[ "$platform" == "GPU" ]]; then | |
$binary_dir/multihost_hlo_runner/$runner_binary --device_type=gpu --use_spmd_partitioning --profile_execution=True --xla_gpu_dump_xspace_to="$xspace_file" "$test_hlo_file" > "$output_file" | |
$binary_dir/compute_xspace_stats_main_gpu --input="$xspace_file" --device_type=GPU >> "$output_file" | |
else | |
echo "Unsupported platform: $platform" | |
exit 1 | |
fi | |
cat "$output_file" | |
echo "Output written to: $output_file" | |
echo "XSpace file written to: $xspace_file" | |
echo "OUTPUT_FILE=$output_file" >> "$GITHUB_ENV" | |
echo "XSPACE_FILE=$xspace_file" >> "$GITHUB_ENV" | |
- name: Upload gemma HLO test output to a GCS bucket | |
if: ${{ matrix.job_info.pool != 'linux-arm64-t2a-48' }} | |
run: | | |
GCS_BUCKET="gs://openxla-postsubmit-transient" | |
TIMESTAMP=$(date +%Y%m%d_%H%M%S) | |
DATE_FOLDER=$(date +%Y%m%d) | |
FILENAME="gemma3_1b_flax_call.hlo" | |
COMMIT_SHA="${{ github.sha }}" | |
RUN_ID="${{ github.run_id }}" | |
PR_NUMBER="${{ steps.find_pr.outputs.pr }}" | |
PLATFORM="${{ matrix.job_info.platform }}" | |
POOL="${{ matrix.job_info.pool }}" | |
PR_SUFFIX="" | |
if [[ -n "$PR_NUMBER" ]]; then | |
PR_SUFFIX="_pr_${PR_NUMBER}" | |
fi | |
GCS_OBJECT_NAME="${DATE_FOLDER}/${TIMESTAMP}_${POOL}_run_${RUN_ID}_commit_${COMMIT_SHA}${PR_SUFFIX}_${PLATFORM}_${FILENAME}" | |
echo "Uploading $OUTPUT_FILE to $GCS_BUCKET/$GCS_OBJECT_NAME" | |
ls -l "$OUTPUT_FILE" # Verify the file exists | |
gsutil cp "$OUTPUT_FILE" "$GCS_BUCKET/$GCS_OBJECT_NAME" | |
- name: Upload XSpace artifacts | |
uses: actions/upload-artifact@4cec3d8aa04e39d1a68397de0c4cd6fb9dce8ec1 # v4.6.1 | |
with: | |
name: xspace-artifacts-${{ matrix.job_info.pool }}-${{ matrix.job_info.platform }} | |
path: ${{ env.XSPACE_FILE }} |