Comments (5)
Hi, I will check the problem soon. It seems to be the incompatible problem of torch and deepspeed. Maybe you can try to train the model using the environment below:
torch=1.7.1
deepspeed==0.7
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When I run pip3 install -r requirements.txt
, I met the following error
ERROR: Could not install packages due to an OSError: [Errno 2] 没有那个文件或目录: '/opt/conda/conda-bld/flit-core_1644941570762/work/source/flit_core'
https://github.com/Sierkinhane/VisorGPT/blob/6f1252f9859f62707fe31faf4913b9e4efad05b3/requirements.txt#L36
It seems that the requirements.txt needs rearrangements.
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We don't have A100. We use 3090 for training and inference. We can run the gradio inference but fail to run training.
from visorgpt.
This problem has been solved by compiling deepspeed from source instead of using pip install deepspeed
microsoft/DeepSpeed#2187.
- Uninstall DeepSpeed
pip uninstall deepspeed
- clone repo
git clone https://github.com/microsoft/DeepSpeed.git && cd DeepSpeed
- install
DS_BUILD_UTILS=1 pip install .
Thanks a lot.
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Great!
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Related Issues (7)
- The original training data file HOT 17
- What does the generated_sentence.txt generated after training represent? HOT 2
- Does VISORGPT supports to generate multiple instances with different sizes in an image? HOT 1
- Some issues in training HOT 2
- Questions about Kullback-Leibler divergence calculation in Table 4. HOT 1
- Error while loading Gligen HOT 5
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