mirror of
https://github.com/vllm-project/vllm.git
synced 2026-06-06 00:16:14 +00:00
87954eb50e
Signed-off-by: Andreas Karatzas <akaratza@amd.com>
141 lines
4.9 KiB
Bash
Executable File
141 lines
4.9 KiB
Bash
Executable File
#!/bin/bash
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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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# Script to install TorchCodec from source (required for ROCm compatibility)
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# The PyPI wheel is built against upstream PyTorch and has ABI mismatches with
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# ROCm's custom torch build, so we must compile from source.
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set -e
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TORCHCODEC_REPO="${TORCHCODEC_REPO:-https://github.com/pytorch/torchcodec.git}"
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# Pin to a specific release for reproducibility; update as needed.
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TORCHCODEC_BRANCH="${TORCHCODEC_BRANCH:-v0.10.0}"
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# Cache directory for pre-built wheels to avoid redundant recompilation.
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TORCHCODEC_WHEEL_CACHE="${TORCHCODEC_WHEEL_CACHE:-/root/.cache/torchcodec-wheels}"
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echo "=== TorchCodec Installation Script ==="
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# Check if torchcodec is already installed and working
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if python3 -c "from torchcodec.decoders import VideoDecoder" 2>/dev/null; then
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echo "TorchCodec is already installed and working. Skipping."
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exit 0
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fi
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# Try to install from cached wheel first
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ARCH_TAG="${PYTORCH_ROCM_ARCH:-all}"
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# Normalize arch tag (replace ; with _) for use in filename
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ARCH_TAG="${ARCH_TAG//;/_}"
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CACHED_WHEEL="${TORCHCODEC_WHEEL_CACHE}/torchcodec-${TORCHCODEC_BRANCH}-${ARCH_TAG}.whl"
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if [ -f "$CACHED_WHEEL" ]; then
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echo "Found cached wheel: $CACHED_WHEEL"
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pip install "$CACHED_WHEEL" && {
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echo "Installed from cached wheel."
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echo "=== TorchCodec installation complete ==="
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exit 0
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}
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echo "Cached wheel installation failed, rebuilding from source..."
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fi
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echo "TorchCodec not found. Installing from source..."
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# Install system dependencies (FFmpeg + pkg-config) if not already present.
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# The Docker test image pre-installs these, so this is a fallback for other envs.
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install_system_deps() {
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if command -v apt-get &> /dev/null; then
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echo "Installing system dependencies..."
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apt-get update && apt-get install -y --no-install-recommends \
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pkg-config \
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ffmpeg libavcodec-dev libavformat-dev libavutil-dev \
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libswscale-dev libavdevice-dev libavfilter-dev libswresample-dev
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else
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echo "Warning: apt-get did not work. Please install dependencies manually."
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return 1
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fi
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}
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# Check for pkg-config
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if ! command -v pkg-config &> /dev/null; then
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echo "pkg-config not found. Installing system dependencies..."
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install_system_deps
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fi
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# Check for required FFmpeg libraries
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echo "Checking for FFmpeg libraries..."
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if ! pkg-config --exists libavcodec libavformat libavutil libswscale libavdevice libavfilter libswresample 2>/dev/null; then
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echo "FFmpeg development libraries not found. Installing..."
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install_system_deps
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fi
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# Install Python build dependencies
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echo "Installing Python build dependencies..."
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pip install pybind11 setuptools wheel
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# Set pybind11 cmake path so CMake can find it
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export pybind11_DIR=$(python3 -c "import pybind11; print(pybind11.get_cmake_dir())")
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export CMAKE_PREFIX_PATH="${pybind11_DIR}:${CMAKE_PREFIX_PATH}"
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echo "pybind11_DIR set to: $pybind11_DIR"
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# Limit GPU architectures to only what this image targets.
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# The default builds for all supported archs which is very slow.
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if [ -n "$PYTORCH_ROCM_ARCH" ]; then
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echo "Building for PYTORCH_ROCM_ARCH=$PYTORCH_ROCM_ARCH"
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fi
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# Create temp directory for build
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BUILD_DIR=$(mktemp -d -t torchcodec-XXXXXX)
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echo "Building in temporary directory: $BUILD_DIR"
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cleanup() {
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echo "Cleaning up $BUILD_DIR"
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rm -rf "$BUILD_DIR"
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}
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trap cleanup EXIT
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# Clone and build
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cd "$BUILD_DIR"
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echo "Cloning TorchCodec from $TORCHCODEC_REPO (branch: $TORCHCODEC_BRANCH)..."
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git clone --depth 1 --branch "$TORCHCODEC_BRANCH" "$TORCHCODEC_REPO" torchcodec
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cd torchcodec
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# Set build environment for ROCm compatibility
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export TORCHCODEC_CMAKE_BUILD_DIR="${PWD}/build"
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export TORCHCODEC_DISABLE_COMPILE_WARNING_AS_ERROR=1
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export I_CONFIRM_THIS_IS_NOT_A_LICENSE_VIOLATION=1
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# Use ninja for faster builds and parallelize compilation
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export CMAKE_GENERATOR=Ninja
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export MAX_JOBS="${MAX_JOBS:-$(nproc)}"
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# Use ccache if available to speed up recompilation
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if command -v ccache &> /dev/null; then
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export CMAKE_C_COMPILER_LAUNCHER=ccache
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export CMAKE_CXX_COMPILER_LAUNCHER=ccache
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fi
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echo "Building TorchCodec (MAX_JOBS=$MAX_JOBS)..."
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pip wheel . --no-build-isolation --no-deps -w "$BUILD_DIR/dist"
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# Install the built wheel
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BUILT_WHEEL=$(ls "$BUILD_DIR/dist"/torchcodec-*.whl 2>/dev/null | head -1)
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if [ -z "$BUILT_WHEEL" ]; then
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echo "Error: No wheel produced"
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exit 1
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fi
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pip install "$BUILT_WHEEL"
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# Cache the wheel for future runs
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mkdir -p "$TORCHCODEC_WHEEL_CACHE"
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cp "$BUILT_WHEEL" "$CACHED_WHEEL"
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echo "Cached wheel to: $CACHED_WHEEL"
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# Verify installation
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echo "Verifying installation..."
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if python3 -c "from torchcodec.decoders import VideoDecoder; print('TorchCodec installed successfully!')"; then
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echo "=== TorchCodec installation complete ==="
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else
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echo "Error: TorchCodec installation failed verification"
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exit 1
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fi
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