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Jack-KhuuJack-Khuu
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Merge branch 'main' into yanbing/fix_1452
2 parents 48f3c19 + 2fc98f7 commit a9dfc0e

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16 files changed

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‎.github/workflows/more-tests.yml‎

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jobs:
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test-cuda:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu

‎.github/workflows/periodic.yml‎

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@@ -108,6 +108,9 @@ jobs:
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set -eux
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PYTHONPATH="${PWD}" python .ci/scripts/gather_test_models.py --event "periodic" --backend "gpu"
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test-gpu:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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name: test-gpu (${{ matrix.platform }}, ${{ matrix.model_name }})
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needs: gather-models-gpu

‎.github/workflows/pull.yml‎

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@@ -215,6 +215,9 @@ jobs:
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set -eux
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PYTHONPATH="${PWD}" python .ci/scripts/gather_test_models.py --event "pull_request" --backend "gpu"
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test-gpu-compile:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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name: test-gpu-compile (${{ matrix.platform }}, ${{ matrix.model_name }})
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needs: gather-models-gpu
@@ -250,6 +253,9 @@ jobs:
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echo "::endgroup::"
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test-gpu-aoti-bfloat16:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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name: test-gpu-aoti-bfloat16 (${{ matrix.platform }}, ${{ matrix.model_name }})
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needs: gather-models-gpu
@@ -286,6 +292,9 @@ jobs:
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echo "::endgroup::"
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test-gpu-aoti-float32:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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name: test-gpu-aoti-float32 (${{ matrix.platform }}, ${{ matrix.model_name }})
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needs: gather-models-gpu
@@ -327,6 +336,9 @@ jobs:
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echo "::endgroup::"
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test-gpu-aoti-float16:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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name: test-gpu-aoti-float16 (${{ matrix.platform }}, ${{ matrix.model_name }})
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needs: gather-models-gpu
@@ -369,6 +381,9 @@ jobs:
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echo "::endgroup::"
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test-gpu-eval-sanity-check:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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name: test-gpu-eval-sanity-check (${{ matrix.platform }}, ${{ matrix.model_name }})
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needs: gather-models-gpu
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echo "Tests complete."
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test-build-runner-et-android:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.4xlarge

‎.github/workflows/run-readme-periodic.yml‎

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jobs:
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test-readme:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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secrets: inherit
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with:
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test-quantization-any:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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echo "::endgroup::"
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test-gguf-any:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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secrets: inherit
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with:

‎.github/workflows/run-readme-pr-mps.yml‎

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@@ -10,7 +10,7 @@ jobs:
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uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
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with:
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runner: macos-m1-14
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timeout-minutes: 50
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timeout: 50
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script: |
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conda create -y -n test-readme-mps-macos python=3.10.11 llvm-openmp
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conda activate test-readme-mps-macos
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test-quantization-mps-macos:
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uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
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with:
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runner: macos-m1-14
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runner: macos-m1-14
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script: |
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set -x
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conda create -y -n test-quantization-mps-macos python=3.10.11
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test-gguf-mps-macos:
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uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
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with:
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runner: macos-m1-14 # neeps MPS, was macos-m1-stable
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runner: macos-m1-14 # needs MPS, was macos-m1-stable
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script: |
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set -x
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conda create -y -n test-quantization-mps-macos python=3.10.11
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test-advanced-mps-macos:
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uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
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with:
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runner: macos-m1-14 # neeps MPS, was macos-m1-stable
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runner: macos-m1-14 # needs MPS, was macos-m1-stable
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script: |
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set -x
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conda create -y -n test-quantization-mps-macos python=3.10.11

‎.github/workflows/run-readme-pr.yml‎

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jobs:
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test-readme-any:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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echo "::endgroup::"
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test-readme-cpu:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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echo "::endgroup::"
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test-quantization-any:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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echo "::endgroup::"
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test-quantization-cpu:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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TORCHCHAT_DEVICE=cpu .ci/scripts/run-docs quantization
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test-gguf-any:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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echo "::endgroup::"
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test-gguf-cpu:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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test-advanced-any:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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test-advanced-cpu:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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echo "::endgroup::"
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test-evaluation-any:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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echo "::endgroup::"
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test-evaluation-cpu:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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echo "::endgroup::"
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test-multimodal-any:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
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echo "::endgroup::"
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test-multimodal-cpu:
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permissions:
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id-token: write
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contents: read
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu
@@ -269,4 +305,4 @@ jobs:
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export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
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echo "::endgroup::"
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TORCHCHAT_DEVICE=cpu .ci/scripts/run-docs native
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TORCHCHAT_DEVICE=cpu .ci/scripts/run-docs native

‎.github/workflows/runner-cuda-dtype.yml‎

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jobs:
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test-runner-aot-cuda:
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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with:
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runner: linux.g5.4xlarge.nvidia.gpu

‎install/.pins/et-pin.txt‎

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1-
98e4dd524f2cb08414ee015b27616229cabc06ba
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9c043290ad3944268290e015c3063bc411e6ef6b

‎install/install_requirements.sh‎

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# Nightly version for torchtune
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TUNE_NIGHTLY_VERSION=dev20241218
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62-
# Uninstall triton, as nightly will depend on pytorch-triton, which is one and the same
63-
(
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set -x
65-
$PIP_EXECUTABLE uninstall -y triton
66-
)
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6862
# The pip repository that hosts nightly torch packages. cpu by default.
6963
# If cuda is available, based on presence of nvidia-smi, install the pytorch nightly
7064
# with cuda for faster execution on cuda GPUs.
@@ -74,16 +68,28 @@ then
7468
elif [[ -x "$(command -v rocminfo)" ]];
7569
then
7670
TORCH_NIGHTLY_URL="https://download.pytorch.org/whl/nightly/rocm6.2"
71+
elif [[ -x "$(command -v xpu-smi)" ]];
72+
then
73+
TORCH_NIGHTLY_URL="https://download.pytorch.org/whl/nightly/xpu"
7774
else
7875
TORCH_NIGHTLY_URL="https://download.pytorch.org/whl/nightly/cpu"
7976
fi
8077

8178
# pip packages needed by exir.
82-
REQUIREMENTS_TO_INSTALL=(
83-
torch=="2.6.0.${PYTORCH_NIGHTLY_VERSION}"
84-
torchvision=="0.22.0.${VISION_NIGHTLY_VERSION}"
85-
torchtune=="0.5.0.${TUNE_NIGHTLY_VERSION}"
86-
)
79+
if [[ -x "$(command -v xpu-smi)" ]];
80+
then
81+
REQUIREMENTS_TO_INSTALL=(
82+
torch=="2.6.0.${PYTORCH_NIGHTLY_VERSION}"
83+
torchvision=="0.22.0.${VISION_NIGHTLY_VERSION}"
84+
torchtune=="0.5.0"
85+
)
86+
else
87+
REQUIREMENTS_TO_INSTALL=(
88+
torch=="2.6.0.${PYTORCH_NIGHTLY_VERSION}"
89+
torchvision=="0.22.0.${VISION_NIGHTLY_VERSION}"
90+
torchtune=="0.5.0.${TUNE_NIGHTLY_VERSION}"
91+
)
92+
fi
8793

8894
#
8995
# First install requirements in install/requirements.txt. Older torch may be
@@ -95,6 +101,12 @@ REQUIREMENTS_TO_INSTALL=(
95101
$PIP_EXECUTABLE install -r install/requirements.txt --extra-index-url "${TORCH_NIGHTLY_URL}"
96102
)
97103

104+
# Uninstall triton, as nightly will depend on pytorch-triton, which is one and the same
105+
(
106+
set -x
107+
$PIP_EXECUTABLE uninstall -y triton
108+
)
109+
98110
# Install the requirements. --extra-index-url tells pip to look for package
99111
# versions on the provided URL if they aren't available on the default URL.
100112
(
@@ -116,8 +128,6 @@ if [[ -x "$(command -v nvidia-smi)" ]]; then
116128
$PYTHON_EXECUTABLE torchchat/utils/scripts/patch_triton.py
117129
)
118130
fi
119-
120-
121131
(
122132
set -x
123133
$PIP_EXECUTABLE install evaluate=="0.4.3" lm-eval=="0.4.2" psutil=="6.0.0"

‎torchchat/cli/builder.py‎

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def __post_init__(self):
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if self.device is None:
76-
self.device = "cuda" if torch.cuda.is_available() else "cpu"
76+
if torch.cuda.is_available():
77+
self.device = "cuda"
78+
elif torch.xpu.is_available():
79+
self.device = "xpu"
80+
else:
81+
self.device = "cpu"
7782

7883
if not (
7984
(self.checkpoint_path and self.checkpoint_path.is_file())

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