Comments (8)
@xueyuanl I haven't run into this before, but I do see NVIDIA/DIGITS#2070 is filed upstream with DIGITS, indicating it might not just be you. You might want to comment on that issue and see what it produces.
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@xueyuanl I haven't run into this before, but I do see NVIDIA/DIGITS#2070 is filed upstream with DIGITS, indicating it might not just be you. You might want to comment on that issue and see what it produces.
Thanks for your help humphd.
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Is it possible the version of DIGITS in your docker template is out of date? or something like that.
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I'm not the maintainer of https://hub.docker.com/r/kaixhin/digits/, but it do look like a outdated version of DIGITS.
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Would someone be willing to try this version: https://ngc.nvidia.com/catalog/containers/nvidia:digits and specifically:
docker pull nvcr.io/nvidia/digits:19.04-caffe
If it works for what we have here, we could update the docs.
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Would someone be willing to try this version: https://ngc.nvidia.com/catalog/containers/nvidia:digits and specifically:
docker pull nvcr.io/nvidia/digits:19.04-caffe
If it works for what we have here, we could update the docs.
I read your dockerfile source code,
# Install DIGITS
ENV DIGITS_ROOT /root/digits
RUN git clone https://github.com/NVIDIA/DIGITS.git $DIGITS_ROOT && cd $DIGITS_ROOT && \ pip install -r requirements.txt && \ pip install -e .
it always clone the latest source code. So the outdated version of digits may not the root cause.
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You must upload a labels.txt file. Just create an empty file and upload it.
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Thank you guys, This issue was opened so long, and I can't remember the context about it.
So, I just close it, and hope it would help others.
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Related Issues (20)
- Question: The influence of a GPU card on a model's accuracy HOT 2
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