Update on "[Inductor][Quant] Change the QConv output scale name" #36755
Workflow file for this run
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| name: inductor-periodic | |
| on: | |
| push: | |
| tags: | |
| - ciflow/inductor/* | |
| workflow_dispatch: | |
| schedule: | |
| # Run every 4 hours during the week and every 12 hours on the weekend | |
| - cron: 45 0,4,8,12,16,20 * * 1-5 | |
| - cron: 45 4,12 * * 0,6 | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }} | |
| cancel-in-progress: true | |
| permissions: read-all | |
| jobs: | |
| linux-focal-cuda12_1-py3_10-gcc9-periodic-dynamo-benchmarks-build: | |
| name: cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks | |
| uses: ./.github/workflows/_linux-build.yml | |
| with: | |
| build-environment: linux-focal-cuda12.1-py3.10-gcc9-sm86 | |
| docker-image-name: pytorch-linux-focal-cuda12.1-cudnn8-py3-gcc9-inductor-benchmarks | |
| cuda-arch-list: '8.6' | |
| test-matrix: | | |
| { include: [ | |
| { config: "dynamo_eager_torchbench", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "dynamo_eager_torchbench", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "dynamo_eager_huggingface", shard: 1, num_shards: 1, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "dynamo_eager_timm", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "dynamo_eager_timm", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "aot_eager_torchbench", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "aot_eager_torchbench", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "aot_eager_huggingface", shard: 1, num_shards: 1, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "aot_eager_timm", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "aot_eager_timm", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "dynamic_aot_eager_torchbench", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "dynamic_aot_eager_torchbench", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "dynamic_aot_eager_huggingface", shard: 1, num_shards: 1, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "dynamic_aot_eager_timm", shard: 1, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| { config: "dynamic_aot_eager_timm", shard: 2, num_shards: 2, runner: "linux.g5.4xlarge.nvidia.gpu" }, | |
| ]} | |
| secrets: | |
| HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} | |
| linux-focal-cuda12_1-py3_10-gcc9-periodic-dynamo-benchmarks-test: | |
| name: cuda12.1-py3.10-gcc9-sm86-periodic-dynamo-benchmarks | |
| uses: ./.github/workflows/_linux-test.yml | |
| needs: linux-focal-cuda12_1-py3_10-gcc9-periodic-dynamo-benchmarks-build | |
| with: | |
| build-environment: linux-focal-cuda12.1-py3.10-gcc9-sm86 | |
| docker-image: ${{ needs.linux-focal-cuda12_1-py3_10-gcc9-periodic-dynamo-benchmarks-build.outputs.docker-image }} | |
| test-matrix: ${{ needs.linux-focal-cuda12_1-py3_10-gcc9-periodic-dynamo-benchmarks-build.outputs.test-matrix }} | |
| secrets: | |
| HUGGING_FACE_HUB_TOKEN: ${{ secrets.HUGGING_FACE_HUB_TOKEN }} |