@@ -82,58 +82,58 @@ jobs:
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# Build and test ExecuTorch
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PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"
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- test-models-linux :
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- name : test-models-linux
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- uses : pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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- permissions :
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- id-token : write
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- contents : read
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- strategy :
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- matrix :
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- model : [linear, add, add_mul, ic3, mv2, resnet18, resnet50, mobilebert, emformer_transcribe]
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- backend : [portable, xnnpack-quantization-delegation]
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- runner : [linux.2xlarge]
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- include :
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- - model : ic4
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- backend : portable
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- runner : linux.4xlarge.memory
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- - model : ic4
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- backend : xnnpack-quantization-delegation
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- runner : linux.4xlarge.memory
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- - model : emformer_join
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- backend : portable
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- runner : linux.4xlarge.memory
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- - model : emformer_join
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- backend : xnnpack-quantization-delegation
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- runner : linux.4xlarge.memory
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- - model : phi_4_mini
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- backend : portable
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- runner : linux.4xlarge.memory
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- - model : llama3_2_vision_encoder
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- backend : portable
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- runner : linux.4xlarge.memory
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- - model : w2l
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- backend : portable
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- runner : linux.4xlarge.memory
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- fail-fast : false
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- with :
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- runner : ${{ matrix.runner }}
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- docker-image : ci-image:executorch-ubuntu-22.04-clang12
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- submodules : ' recursive'
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- ref : ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
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- timeout : 90
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- script : |
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- # The generic Linux job chooses to use base env, not the one setup by the image
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- CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
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- conda activate "${CONDA_ENV}"
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+ # test-models-linux:
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+ # name: test-models-linux
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+ # uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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+ # permissions:
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+ # id-token: write
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+ # contents: read
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+ # strategy:
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+ # matrix:
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+ # model: [linear, add, add_mul, ic3, mv2, resnet18, resnet50, mobilebert, emformer_transcribe]
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+ # backend: [portable, xnnpack-quantization-delegation]
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+ # runner: [linux.2xlarge]
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+ # include:
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+ # - model: ic4
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+ # backend: portable
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+ # runner: linux.4xlarge.memory
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+ # - model: ic4
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+ # backend: xnnpack-quantization-delegation
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+ # runner: linux.4xlarge.memory
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+ # - model: emformer_join
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+ # backend: portable
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+ # runner: linux.4xlarge.memory
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+ # - model: emformer_join
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+ # backend: xnnpack-quantization-delegation
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+ # runner: linux.4xlarge.memory
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+ # - model: phi_4_mini
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+ # backend: portable
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+ # runner: linux.4xlarge.memory
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+ # - model: llama3_2_vision_encoder
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+ # backend: portable
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+ # runner: linux.4xlarge.memory
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+ # - model: w2l
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+ # backend: portable
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+ # runner: linux.4xlarge.memory
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+ # fail-fast: false
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+ # with:
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+ # runner: ${{ matrix.runner }}
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+ # docker-image: ci-image:executorch-ubuntu-22.04-clang12
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+ # submodules: 'recursive'
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+ # ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
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+ # timeout: 90
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+ # script: |
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+ # # The generic Linux job chooses to use base env, not the one setup by the image
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+ # CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
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+ # conda activate "${CONDA_ENV}"
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- MODEL_NAME=${{ matrix.model }}
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- BUILD_TOOL=cmake
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- BACKEND=${{ matrix.backend }}
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+ # MODEL_NAME=${{ matrix.model }}
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+ # BUILD_TOOL=cmake
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+ # BACKEND=${{ matrix.backend }}
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- PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
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- # Build and test ExecuTorch
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- PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"
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+ # PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
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+ # # Build and test ExecuTorch
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+ # PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"
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test-llama-runner-linux :
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# Test Both linux x86 and linux aarch64
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