Making large AI models cheaper, faster and more accessible
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 

25 lines
847 B

FROM hpcaitech/cuda-conda:11.3
# install torch
RUN conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
# install apex
RUN git clone https://github.com/NVIDIA/apex && \
cd apex && \
pip install packaging && \
pip install -v --disable-pip-version-check --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" --global-option="--fast_layer_norm" ./
# install colossalai
RUN git clone https://github.com/hpcaitech/ColossalAI.git \
&& cd ./ColossalAI \
&& CUDA_EXT=1 pip install -v --no-cache-dir .
# install titans
RUN pip install --no-cache-dir titans
# install tensornvme
RUN conda install cmake && \
git clone https://github.com/hpcaitech/TensorNVMe.git && \
cd TensorNVMe && \
pip install -r requirements.txt && \
pip install -v --no-cache-dir .