581dd324cc
* build base images for torch 2.7.1 * fix: update base docker to use torch 2.7.1 * fix: update doc for main base to use 2.7.1 * make sure to install fa2 in base uv too * use no build isolation for uv+flashattn * install psutil also for fa2 * longer timeout for flash attn build --------- Co-authored-by: NanoCode012 <nano@axolotl.ai>
41 lines
1.3 KiB
Plaintext
41 lines
1.3 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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FROM nvidia/cuda:$CUDA_VERSION-cudnn$CUDNN_VERSION-devel-ubuntu$UBUNTU_VERSION AS base-builder
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ARG PYTHON_VERSION="3.11"
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ARG PYTORCH_VERSION="2.6.0"
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ARG CUDA="126"
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ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6 9.0+PTX"
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ENV PYTHON_VERSION=$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==${PYTORCH_VERSION} \
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&& uv pip install --no-build-isolation "causal_conv1d @ git+https://github.com/Dao-AILab/causal-conv1d.git@main" \
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&& uv pip install "mamba_ssm @ git+https://github.com/state-spaces/mamba.git@main" \
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&& uv pip install awscli pydantic
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RUN if [ "$PYTORCH_VERSION" = "2.7.1" ] ; then \
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uv pip install --no-build-isolation flash-attn==2.7.4.post1; \
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fi
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