fix(docker): fix docker image dependencies

Dockerfile

@@ -1,3 +1,4 @@
+# Rust builder
 FROM lukemathwalker/cargo-chef:latest-rust-1.67 AS chef
 WORKDIR /usr/src
 
@@ -27,49 +28,117 @@ COPY router router
 COPY launcher launcher
 RUN cargo build --release
 
-FROM nvidia/cuda:11.8.0-devel-ubuntu22.04 as base
+# CUDA kernel builder
+# Adapted from: https://github.com/pytorch/pytorch/blob/master/Dockerfile
+FROM nvidia/cuda:11.8.0-devel-ubuntu22.04 as kernel-builder
 
+ARG PYTORCH_VERSION=2.0.0
+ARG PYTHON_VERSION=3.9
+ARG CUDA_VERSION=11.8
 ARG MAMBA_VERSION=23.1.0-1
+ARG CUDA_CHANNEL=nvidia
+ARG INSTALL_CHANNEL=pytorch
+# Automatically set by buildx
+ARG TARGETPLATFORM
 
-ENV LANG=C.UTF-8 \
+RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
-    LC_ALL=C.UTF-8 \
+        build-essential \
-    DEBIAN_FRONTEND=noninteractive \
+        ca-certificates \
-    HUGGINGFACE_HUB_CACHE=/data \
+        ccache \
+        ninja-build \
+        cmake \
+        curl \
+        git && \
+        rm -rf /var/lib/apt/lists/*
+RUN /usr/sbin/update-ccache-symlinks &&  \
+    mkdir /opt/ccache &&  \
+    ccache --set-config=cache_dir=/opt/ccache
+ENV PATH /opt/conda/bin:$PATH
+
+# Install conda
+# translating Docker's TARGETPLATFORM into mamba arches
+RUN case ${TARGETPLATFORM} in \
+         "linux/arm64")  MAMBA_ARCH=aarch64  ;; \
+         *)              MAMBA_ARCH=x86_64   ;; \
+    esac && \
+    curl -fsSL -v -o ~/mambaforge.sh -O  "https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-${MAMBA_ARCH}.sh"
+RUN chmod +x ~/mambaforge.sh && \
+    bash ~/mambaforge.sh -b -p /opt/conda && \
+    rm ~/mambaforge.sh
+
+# Install pytorch
+# On arm64 we exit with an error code
+RUN case ${TARGETPLATFORM} in \
+         "linux/arm64")  exit 1 ;; \
+         *)              /opt/conda/bin/conda update -y conda &&  \
+                         /opt/conda/bin/conda install -c "${INSTALL_CHANNEL}" -c "${CUDA_CHANNEL}" -y "python=${PYTHON_VERSION}" pytorch==$PYTORCH_VERSION "pytorch-cuda=$(echo $CUDA_VERSION | cut -d'.' -f 1-2)"  ;; \
+    esac && \
+    /opt/conda/bin/conda clean -ya
+
+
+# Build Flash Attention CUDA kernels
+FROM kernel-builder as flash-att-builder
+
+WORKDIR /usr/src
+
+COPY server/Makefile-flash-att Makefile
+
+# Build specific version of flash attention
+RUN make build-flash-attention
+
+# Build Transformers CUDA kernels
+FROM kernel-builder as transformers-builder
+
+WORKDIR /usr/src
+
+COPY server/Makefile-transformers Makefile
+
+# Build specific version of transformers
+RUN BUILD_EXTENSIONS="True" make build-transformers
+
+# Text Generation Inference base image
+FROM nvidia/cuda:11.8.0-base-ubuntu22.04 as base
+
+# Conda env
+ENV PATH=/opt/conda/bin:$PATH
+
+# Text Generation Inference base env
+ENV HUGGINGFACE_HUB_CACHE=/data \
     HF_HUB_ENABLE_HF_TRANSFER=1 \
     MODEL_ID=bigscience/bloom-560m \
     QUANTIZE=false \
     NUM_SHARD=1 \
-    PORT=80 \
+    PORT=80
-    CUDA_HOME=/usr/local/cuda \
-    LD_LIBRARY_PATH="/opt/conda/lib:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH" \
-    PATH=$PATH:/opt/conda/bin:/usr/local/cuda/bin
 
-RUN apt-get update && apt-get install -y git curl libssl-dev ninja-build && rm -rf /var/lib/apt/lists/*
+LABEL com.nvidia.volumes.needed="nvidia_driver"
-
-RUN cd ~ && \
-    curl -fsSL -v -o ~/mambaforge.sh -O  "https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-x86_64.sh" \
-    chmod +x ~/mambaforge.sh && \
-    bash ~/mambaforge.sh -b -p /opt/conda && \
-    rm ~/mambaforge.sh
 
 WORKDIR /usr/src
 
-# Install torch
+RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
-RUN pip install torch==2.0.0 --extra-index-url https://download.pytorch.org/whl/cu118 --no-cache-dir
+        libssl-dev \
+        ca-certificates \
+        make \
+        && rm -rf /var/lib/apt/lists/*
 
-# Install specific version of flash attention
+# Copy conda with PyTorch installed
-COPY server/Makefile-flash-att server/Makefile
+COPY --from=kernel-builder /opt/conda /opt/conda
-RUN cd server && make install-flash-attention
 
-# Install specific version of transformers
+# Copy build artifacts from flash attention builder
-COPY server/Makefile-transformers server/Makefile
+COPY --from=flash-att-builder /usr/src/flash-attention/build/lib.linux-x86_64-cpython-39 /opt/conda/lib/python3.9/site-packages
-RUN cd server && BUILD_EXTENSIONS="True" make install-transformers
+COPY --from=flash-att-builder /usr/src/flash-attention/csrc/layer_norm/build/lib.linux-x86_64-cpython-39 /opt/conda/lib/python3.9/site-packages
+COPY --from=flash-att-builder /usr/src/flash-attention/csrc/rotary/build/lib.linux-x86_64-cpython-39 /opt/conda/lib/python3.9/site-packages
 
-COPY server/Makefile server/Makefile
+# Copy build artifacts from transformers builder
+COPY --from=transformers-builder /usr/src/transformers /usr/src/transformers
+COPY --from=transformers-builder /usr/src/transformers/build/lib.linux-x86_64-cpython-39/transformers /usr/src/transformers/src/transformers
+
+# Install transformers dependencies
+RUN cd /usr/src/transformers && pip install -e . --no-cache-dir && pip install einops --no-cache-dir
 
 # Install server
 COPY proto proto
 COPY server server
+COPY server/Makefile server/Makefile
 RUN cd server && \
     make gen-server && \
     pip install ".[bnb]" --no-cache-dir