misc: update sagemaker Dockerfile (#5341)

Author: zhyncs

docker/Dockerfile.sagemaker

@@ -1,76 +1,4 @@
-ARG CUDA_VERSION=12.5.1
-
-FROM nvcr.io/nvidia/tritonserver:24.04-py3-min
-
-ARG BUILD_TYPE=all
-ENV DEBIAN_FRONTEND=noninteractive
-
-RUN echo 'tzdata tzdata/Areas select America' | debconf-set-selections \
-    && echo 'tzdata tzdata/Zones/America select Los_Angeles' | debconf-set-selections \
-    && apt update -y \
-    && apt install software-properties-common -y \
-    && add-apt-repository ppa:deadsnakes/ppa -y && apt update \
-    && apt install python3.10 python3.10-dev -y \
-    && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 1 \
-    && update-alternatives --set python3 /usr/bin/python3.10 && apt install python3.10-distutils -y \
-    && apt install curl git sudo libibverbs-dev -y \
-    && apt install -y rdma-core infiniband-diags openssh-server perftest ibverbs-providers libibumad3 libibverbs1 libnl-3-200 libnl-route-3-200 librdmacm1 \
-    && curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python3 get-pip.py \
-    && python3 --version \
-    && python3 -m pip --version \
-    && rm -rf /var/lib/apt/lists/* \
-    && apt clean
-
-# For openbmb/MiniCPM models
-RUN pip3 install datamodel_code_generator
-
-WORKDIR /sgl-workspace
-
-ARG CUDA_VERSION
-RUN python3 -m pip install --upgrade pip setuptools wheel html5lib six \
-    && git clone --depth=1 https://github.com/sgl-project/sglang.git \
-    && if [ "$CUDA_VERSION" = "12.1.1" ]; then \
-         python3 -m pip install torch --index-url https://download.pytorch.org/whl/cu121; \
-       elif [ "$CUDA_VERSION" = "12.4.1" ]; then \
-         python3 -m pip install torch --index-url https://download.pytorch.org/whl/cu124; \
-       elif [ "$CUDA_VERSION" = "12.5.1" ]; then \
-         python3 -m pip install torch --index-url https://download.pytorch.org/whl/cu124; \
-       elif [ "$CUDA_VERSION" = "11.8.0" ]; then \
-         python3 -m pip install torch --index-url https://download.pytorch.org/whl/cu118; \
-         python3 -m pip install sgl-kernel -i https://docs.sglang.ai/whl/cu118; \
-       else \
-         echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1; \
-       fi \
-    && cd sglang \
-    && if [ "$BUILD_TYPE" = "srt" ]; then \
-         if [ "$CUDA_VERSION" = "12.1.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu121/torch2.5/flashinfer-python; \
-         elif [ "$CUDA_VERSION" = "12.4.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python; \
-         elif [ "$CUDA_VERSION" = "12.5.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python; \
-         elif [ "$CUDA_VERSION" = "11.8.0" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[srt]" --find-links https://flashinfer.ai/whl/cu118/torch2.5/flashinfer-python; \
-           python3 -m pip install sgl-kernel -i https://docs.sglang.ai/whl/cu118; \
-         else \
-           echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1; \
-         fi; \
-       else \
-         if [ "$CUDA_VERSION" = "12.1.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu121/torch2.5/flashinfer-python; \
-         elif [ "$CUDA_VERSION" = "12.4.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python; \
-         elif [ "$CUDA_VERSION" = "12.5.1" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.5/flashinfer-python; \
-         elif [ "$CUDA_VERSION" = "11.8.0" ]; then \
-           python3 -m pip --no-cache-dir install -e "python[all]" --find-links https://flashinfer.ai/whl/cu118/torch2.5/flashinfer-python; \
-           python3 -m pip install sgl-kernel -i https://docs.sglang.ai/whl/cu118; \
-         else \
-           echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1; \
-         fi; \
-       fi
-
-ENV DEBIAN_FRONTEND=interactive
+FROM lmsysorg/sglang:latest
 
 COPY serve /usr/bin/serve
 RUN chmod 777 /usr/bin/serve