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Running
on
Zero
Running
on
Zero
Update setup_blender.sh
Browse files- setup_blender.sh +5 -9
setup_blender.sh
CHANGED
@@ -23,9 +23,6 @@ TORCHVISION_VERSION="0.18.1"
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TARGET_CUDA_VERSION_SHORT="cu121" # PyTorch 2.3.1 wheels are available for cu121
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TORCH_INDEX_URL="https://download.pytorch.org/whl/${TARGET_CUDA_VERSION_SHORT}"
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# flash-attn version known to have compatible wheels (Python 3.11, PyTorch 2.3.1+cu121)
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FLASH_ATTN_VERSION_TO_INSTALL="2.5.9.post1" # This version has pt23cu121 wheels
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# --- Set Environment Variables for Build ---
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export CUDA_HOME=${CUDA_HOME:-/usr/local/cuda} # This might be nominal if nvcc isn't actually used
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export PATH="${CUDA_HOME}/bin:${LOCAL_BIN_DIR}:${PATH}"
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@@ -45,7 +42,7 @@ echo "Blender Python Executable: ${BLENDER_PY_EXEC}"
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echo "Using CUDA_HOME=${CUDA_HOME}"
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echo "Targeting PyTorch for CUDA: ${TARGET_CUDA_VERSION_SHORT}"
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echo "TORCH_CUDA_ARCH_LIST: ${TORCH_CUDA_ARCH_LIST}"
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echo "Attempting to install flash-attn
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# --- Download and Extract Blender ---
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mkdir -p "${BLENDER_INSTALL_BASE}"
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@@ -106,15 +103,14 @@ echo "Step 1: Installing PyTorch ${TORCH_VERSION} (for CUDA ${TARGET_CUDA_VERSIO
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--index-url ${TORCH_INDEX_URL} -vvv
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echo "PyTorch and Torchvision installation attempted."
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echo "Step 2: Installing flash-attn
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# Try to install flash-attn, strongly preferring a binary wheel.
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# The --no-build-isolation flag allows it to see the already installed PyTorch.
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# The --only-binary :all: flag
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# We use :all: here for this specific command to be absolutely sure pip doesn't try to build flash-attn or its immediate small deps from source.
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"${BLENDER_PY_EXEC}" -m pip install --no-cache-dir \
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--no-build-isolation \
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--only-binary ":all:" \
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flash-attn
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echo "flash-attn installation attempted from PyPI."
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echo "Step 3: Installing remaining dependencies from ${UNIRIG_REQS_FILE_IN_SPACE}..."
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TARGET_CUDA_VERSION_SHORT="cu121" # PyTorch 2.3.1 wheels are available for cu121
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TORCH_INDEX_URL="https://download.pytorch.org/whl/${TARGET_CUDA_VERSION_SHORT}"
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# --- Set Environment Variables for Build ---
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export CUDA_HOME=${CUDA_HOME:-/usr/local/cuda} # This might be nominal if nvcc isn't actually used
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export PATH="${CUDA_HOME}/bin:${LOCAL_BIN_DIR}:${PATH}"
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echo "Using CUDA_HOME=${CUDA_HOME}"
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echo "Targeting PyTorch for CUDA: ${TARGET_CUDA_VERSION_SHORT}"
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echo "TORCH_CUDA_ARCH_LIST: ${TORCH_CUDA_ARCH_LIST}"
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echo "Attempting to install latest compatible flash-attn binary."
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# --- Download and Extract Blender ---
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mkdir -p "${BLENDER_INSTALL_BASE}"
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--index-url ${TORCH_INDEX_URL} -vvv
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echo "PyTorch and Torchvision installation attempted."
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echo "Step 2: Installing flash-attn from PyPI (binary only, no build isolation, latest compatible version)..."
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# Try to install flash-attn, strongly preferring a binary wheel, letting pip choose the version.
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# The --no-build-isolation flag allows it to see the already installed PyTorch.
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# The --only-binary ":all:" flag tells pip to not attempt source builds for any package in this command.
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"${BLENDER_PY_EXEC}" -m pip install --no-cache-dir \
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--no-build-isolation \
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--only-binary ":all:" \
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flash-attn -vvv
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echo "flash-attn installation attempted from PyPI."
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echo "Step 3: Installing remaining dependencies from ${UNIRIG_REQS_FILE_IN_SPACE}..."
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