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.github/workflows/trunk.yml

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@@ -585,34 +585,34 @@ jobs:
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# # Test llama2
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# PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_llama.sh -model stories110M -build_tool cmake -dtype "${DTYPE}" -mode "${MODE}"
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# # # TODO(jackzhxng): Runner consistently runs out of memory before test finishes. Try to find a more powerful runner.
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# # test-llava-runner-macos:
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# # name: test-llava-runner-macos
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# # uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
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# # strategy:
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# # fail-fast: false
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# # with:
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# # runner: macos-14-xlarge
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# # python-version: '3.11'
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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: 900
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# # script: |
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# # BUILD_TOOL=cmake
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# # bash .ci/scripts/setup-conda.sh
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# # # Setup MacOS dependencies as there is no Docker support on MacOS atm
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# # GITHUB_RUNNER=1 PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}"
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# # # install Llava requirements
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# # ${CONDA_RUN} bash examples/models/llama/install_requirements.sh
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# # ${CONDA_RUN} bash examples/models/llava/install_requirements.sh
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# # # run python unittest
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# # ${CONDA_RUN} python -m unittest examples.models.llava.test.test_llava
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# # # run e2e (export, tokenizer and runner)
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# # PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_llava.sh
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# # TODO(jackzhxng): Runner consistently runs out of memory before test finishes. Try to find a more powerful runner.
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# test-llava-runner-macos:
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# name: test-llava-runner-macos
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# uses: pytorch/test-infra/.github/workflows/macos_job.yml@main
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# strategy:
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# fail-fast: false
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# with:
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# runner: macos-14-xlarge
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# python-version: '3.11'
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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: 900
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# script: |
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# BUILD_TOOL=cmake
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# bash .ci/scripts/setup-conda.sh
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# # Setup MacOS dependencies as there is no Docker support on MacOS atm
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# GITHUB_RUNNER=1 PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/setup-macos.sh --build-tool "${BUILD_TOOL}"
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# # install Llava requirements
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# ${CONDA_RUN} bash examples/models/llama/install_requirements.sh
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# ${CONDA_RUN} bash examples/models/llava/install_requirements.sh
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# # run python unittest
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# ${CONDA_RUN} python -m unittest examples.models.llava.test.test_llava
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# # run e2e (export, tokenizer and runner)
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# PYTHON_EXECUTABLE=python ${CONDA_RUN} bash .ci/scripts/test_llava.sh
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# test-qnn-model:
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# name: test-qnn-model

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