17fc747f99
* fix: uv leftover docs * fix: docker build failing * chore: doc * fix: remove old pytorch build * fix: stop recommend flash-attn optional, let transformers pull * fix: remove ring flash attention from image * fix: quotes [skip ci] * chore: naming [skip ci]
41 lines
1.2 KiB
Plaintext
41 lines
1.2 KiB
Plaintext
ARG CUDA_VERSION="12.6.3"
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ARG CUDNN_VERSION=""
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ARG UBUNTU_VERSION="22.04"
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ARG MAX_JOBS=4
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ARG TARGETARCH
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FROM nvidia/cuda:$CUDA_VERSION-cudnn$CUDNN_VERSION-devel-ubuntu$UBUNTU_VERSION AS base-builder
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ARG TARGETARCH
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ARG PYTHON_VERSION="3.11"
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ARG PYTORCH_VERSION="2.6.0"
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ARG CUDA="126"
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ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"
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ENV PYTHON_VERSION=$PYTHON_VERSION
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ENV TORCH_CUDA_ARCH_LIST=$TORCH_CUDA_ARCH_LIST
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ENV UV_TORCH_BACKEND="cu${CUDA}"
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RUN apt-get update \
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&& apt-get install -y wget git build-essential ninja-build git-lfs libaio-dev pkg-config curl && rm -rf /var/lib/apt/lists/* \
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&& git lfs install --skip-repo \
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&& curl -LsSf https://astral.sh/uv/install.sh | sh
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ENV PATH="/root/.local/bin:${PATH}"
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RUN uv python install ${PYTHON_VERSION}
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WORKDIR /workspace
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RUN uv venv --no-project --relocatable axolotl-venv
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ENV PATH="/workspace/axolotl-venv/bin:${PATH}"
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RUN uv pip install packaging setuptools wheel psutil \
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&& uv pip install torch==${PYTORCH_VERSION} torchvision \
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&& uv pip install awscli pydantic
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RUN if [ "$TARGETARCH" = "amd64" ]; then \
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MAMBA_SKIP_CUDA_BUILD=TRUE CAUSAL_CONV1D_SKIP_CUDA_BUILD=TRUE uv pip install --no-build-isolation mamba_ssm causal_conv1d; \
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fi
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