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[ROCm][CI][Bugfix] Disable Flash/MemEfficient SDP on ROCm to avoid HF Transformers accuracy issues (#29909)
Signed-off-by: Andreas Karatzas <akaratza@amd.com>
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@@ -65,7 +65,6 @@ COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/tests /tests
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COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/examples /examples
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COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/docker/Dockerfile.rocm /docker/
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COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/.buildkite /.buildkite
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# Centralized v1 package - copied to both test and final stages
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COPY --from=build_vllm ${COMMON_WORKDIR}/vllm/vllm/v1 /vllm_v1
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# -----------------------
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@@ -98,7 +97,7 @@ RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install --system hf_transfer
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ENV HF_HUB_ENABLE_HF_TRANSFER=1
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# Copy in the v1 package
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# Copy in the v1 package (for python-only install test group)
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COPY --from=export_vllm /vllm_v1 /usr/local/lib/python${PYTHON_VERSION}/dist-packages/vllm/v1
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# Source code is used in the `python_only_compile.sh` test
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@@ -130,9 +129,6 @@ RUN --mount=type=bind,from=export_vllm,src=/,target=/install \
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&& pip uninstall -y vllm \
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&& uv pip install --system *.whl
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# Copy in the v1 package
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COPY --from=export_vllm /vllm_v1 /usr/local/lib/python${PYTHON_VERSION}/dist-packages/vllm/v1
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ARG COMMON_WORKDIR
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# Copy over the benchmark scripts as well
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@@ -70,8 +70,8 @@ torchgeo==0.7.0
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mteb==2.1.2
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# Data processing
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xgrammar @ git+https://github.com/mlc-ai/xgrammar.git@eafd4db51b78acc64b3f0764ef27dfd206c28628
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# Test async scheduling
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xgrammar==0.1.27
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# Test async scheduling
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# Utilities
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num2words==0.5.14
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19
tests/models/multimodal/generation/conftest.py
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19
tests/models/multimodal/generation/conftest.py
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@@ -0,0 +1,19 @@
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""Pytest configuration for vLLM tests."""
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import torch
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from vllm.platforms import current_platform
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def pytest_configure(config):
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"""Disable Flash/MemEfficient SDP on ROCm to avoid HF
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Transformers accuracy issues.
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"""
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if not current_platform.is_rocm():
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return
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torch.backends.cuda.enable_flash_sdp(False)
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torch.backends.cuda.enable_mem_efficient_sdp(False)
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torch.backends.cuda.enable_math_sdp(True)
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