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don't double-install executorch for one-off linux pull-time jobs
I remember somebody mentioning they wanted install_executorch to be the one solution previously. CI is red for these jobs due to timeouts and we should not block a time improvement just because it is not the ideal long-term solution. ghstack-source-id: b256e67 ghstack-comment-id: 2631587314 Pull Request resolved: #8142
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.github/workflows/pull.yml

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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake"
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# install pybind
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bash install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
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# install Llava requirements
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bash examples/models/llama/install_requirements.sh
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bash examples/models/llava/install_requirements.sh
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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake"
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# install pybind
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bash install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
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# install phi-3-mini requirements
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bash examples/models/phi-3-mini/install_requirements.sh
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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake"
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# install pybind
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bash install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
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# install llama requirements
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bash examples/models/llama/install_requirements.sh
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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake"
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# install pybind
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bash install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
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# install llama requirements
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bash examples/models/llama/install_requirements.sh
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PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "cmake"
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# install pybind
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bash install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
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# install llama requirements
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bash examples/models/llama/install_requirements.sh
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