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.github/workflows/pull.yml

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@@ -523,29 +523,6 @@ jobs:
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# Test llama2
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PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"
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backend-test-linux:
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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strategy:
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fail-fast: false
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matrix:
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flow: [
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qnn, qnn_16a16w, qnn_16a8w, qnn_16a4w, qnn_16a4w_block, qnn_8a8w,
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vulkan, vulkan_static_int8_per_channel,
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xnnpack, xnnpack_dynamic_int8_per_channel, xnnpack_static_int8_per_channel, xnnpack_static_int8_per_tensor
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]
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suite: [models, operators]
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with:
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ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
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runner: linux.4xlarge.memory
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docker-image: ci-image:executorch-ubuntu-22.04-clang12
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submodules: recursive
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timeout: 120
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upload-artifact: test-report-${{ matrix.flow }}-${{ matrix.suite }}
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script: |
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set -eux
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source .ci/scripts/test_backend_linux.sh "${{ matrix.suite }}" "${{ matrix.flow }}" "${RUNNER_ARTIFACT_DIR}"
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test-static-llama-qnn-linux:
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name: test-static-llama-qnn-linux
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main

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