[Intel GPU] Upgrade pytorch xpu version to 2.11 (#21908)
Signed-off-by: P V R K Jyothendra Varma <polisetty.v.r.k.jyothendra.varma@intel.com> Co-authored-by: Ma Mingfei <mingfei.ma@intel.com>
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co-authored by
Ma Mingfei
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5549d910c6
commit
7d2c11970c
@@ -48,7 +48,7 @@ RUN --mount=type=secret,id=github_token \
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cd /home/sdp && \
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cd /home/sdp && \
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. /home/sdp/miniforge3/bin/activate && \
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. /home/sdp/miniforge3/bin/activate && \
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conda activate py${PYTHON_VERSION} && \
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conda activate py${PYTHON_VERSION} && \
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pip3 install torch==2.10.0+xpu torchao torchvision torchaudio==2.10.0+xpu triton-xpu==3.6.0 --index-url https://download.pytorch.org/whl/xpu
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pip3 install torch==2.11.0+xpu torchao torchvision torchaudio==2.11.0+xpu --index-url https://download.pytorch.org/whl/xpu
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RUN --mount=type=secret,id=github_token \
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RUN --mount=type=secret,id=github_token \
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cd /home/sdp && \
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cd /home/sdp && \
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@@ -58,7 +58,7 @@ RUN --mount=type=secret,id=github_token \
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git clone --branch ${SG_LANG_BRANCH} --single-branch ${SG_LANG_REPO} && \
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git clone --branch ${SG_LANG_BRANCH} --single-branch ${SG_LANG_REPO} && \
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cd sglang && cd python && \
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cd sglang && cd python && \
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cp pyproject_xpu.toml pyproject.toml && \
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cp pyproject_xpu.toml pyproject.toml && \
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pip install . && \
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pip install . --extra-index-url https://download.pytorch.org/whl/xpu && \
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pip install xgrammar --no-deps && \
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pip install xgrammar --no-deps && \
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pip install msgspec blake3 py-cpuinfo compressed_tensors gguf partial_json_parser einops tabulate --root-user-action=ignore && \
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pip install msgspec blake3 py-cpuinfo compressed_tensors gguf partial_json_parser einops tabulate --root-user-action=ignore && \
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conda install libsqlite=3.48.0 -y && \
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conda install libsqlite=3.48.0 -y && \
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@@ -30,7 +30,7 @@ conda create -n sgl-xpu python=3.12 -y
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conda activate sgl-xpu
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conda activate sgl-xpu
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# Set PyTorch XPU as primary pip install channel to avoid installing the larger CUDA-enabled version and prevent potential runtime issues.
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# Set PyTorch XPU as primary pip install channel to avoid installing the larger CUDA-enabled version and prevent potential runtime issues.
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pip3 install torch==2.10.0+xpu torchao torchvision torchaudio triton-xpu==3.6.0 --index-url https://download.pytorch.org/whl/xpu
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pip3 install torch==2.11.0+xpu torchao torchvision torchaudio==2.11.0+xpu --index-url https://download.pytorch.org/whl/xpu
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pip3 install xgrammar --no-deps # xgrammar will introduce CUDA-enabled triton which might conflict with XPU
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pip3 install xgrammar --no-deps # xgrammar will introduce CUDA-enabled triton which might conflict with XPU
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# Clone the SGLang code
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# Clone the SGLang code
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@@ -15,10 +15,10 @@ classifiers = [
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]
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]
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dependencies = [
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dependencies = [
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"torch==2.10.0+xpu",
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"torch==2.11.0+xpu",
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"torchcodec==0.10.0 ; sys_platform != 'linux' or (sys_platform == 'linux' and platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')", # torchcodec does not exist in those systems. torch==2.10.0 on XPU uses 0.10.0
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"torchcodec==0.11.0 ; sys_platform != 'linux' or (sys_platform == 'linux' and platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')", # torchcodec does not exist in those systems. torch==2.11.0 on XPU uses 0.11.0
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"av ; sys_platform == 'linux' and (platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'armv7l')",
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"av ; sys_platform == 'linux' and (platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'armv7l')",
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"torchaudio==2.10.0+xpu",
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"torchaudio==2.11.0+xpu",
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"torchvision",
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"torchvision",
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"sgl-kernel @ git+https://github.com/sgl-project/sgl-kernel-xpu.git",
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"sgl-kernel @ git+https://github.com/sgl-project/sgl-kernel-xpu.git",
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"IPython",
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"IPython",
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@@ -58,7 +58,7 @@ dependencies = [
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"soundfile==0.13.1",
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"soundfile==0.13.1",
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"tiktoken",
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"tiktoken",
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"timm==1.0.16",
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"timm==1.0.16",
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"torchao==0.9.0",
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"torchao==0.9.0+xpu",
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"tqdm",
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"tqdm",
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"mistral_common>=1.9.0",
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"mistral_common>=1.9.0",
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"transformers==5.3.0",
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"transformers==5.3.0",
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