
* fix limitation of gpu vram * aad time limitation * reshape logci * <feature> add example and limitation of input * update gradio scripts and requirement --------- Co-authored-by: trumpzhan <trumpzhan@tencent.com>
19 lines
527 B
Docker
Executable File
19 lines
527 B
Docker
Executable File
FROM anchorxia/musev:1.0.0
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#MAINTAINER 维护者信息
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LABEL MAINTAINER="anchorxia"
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LABEL Email="anchorxia@tencent.com"
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LABEL Description="musev gpu runtime image, base docker is pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel"
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ARG DEBIAN_FRONTEND=noninteractive
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USER root
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SHELL ["/bin/bash", "--login", "-c"]
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RUN . /opt/conda/etc/profile.d/conda.sh \
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&& echo "source activate musev" >> ~/.bashrc \
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&& conda activate musev \
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&& conda env list \
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&& pip --no-cache-dir install cuid gradio==4.12 spaces
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USER root
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