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I noticed that almost all python packages are outdated in conda, and I have to update them my self while using the notebooks. Is there a possibility where they just keep the packages updated for us?
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Hi,
Thanks for reaching out to us.
Are you using intel channel to download the packages?
Also, could you please share few packages that you tried to install.
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Hi,
Could you please share the above mentioned details.
Thanks
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Hi,
Sorry for the late response. Yes I used the Intel channel to download.
I tried installing torchvision and torch, and after it did, I couldn't import torchvision because
the required version of PIL was 7.0 and Intel has 4.0.
Thanks.
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Hi,
We are forwarding this case to Engineering team.
Thanks
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Hi,
Thanks
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Hi Martin
This is Ying from Intel python support team. Thank you a lot for your reports. we also noticed the issues for a while. It may be because Intel python own one old validation matrix and release product . so keep old one. We released a new version 2020.1 recently. you are welcomed to try it.
We will try our best to keep the version with latest version.
Thanks
Ying
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Dear all,
We have new version 2020 update 2 release in conda repo , where we update the package version. If possible, please try it and let us know if any issues.
https://anaconda.org/intel/repo
About the PIL and PyTorch problem here, as intel contribute pytorch by pyTorch channel directly. so we just use the PyTorch channel by default . I suggest to use
>conda install pytorch torchvision cudatoolkit=10.2 -c pytorch
to install pytorch.
for example, i try today,
Collecting package metadata (current_repodata.json): done
Solving environment: done
- cudatoolkit=10.2
- pytorch
- torchvision
The following packages will be downloaded:
---------------------------|-----------------
blas-1.0 | mkl 6 KB
cudatoolkit-10.2.89 | hfd86e86_1 365.1 MB
libtiff-4.1.0 | hc7e4089_6 668 KB
libwebp-base-1.1.0 | h516909a_3 845 KB
ninja-1.10.0 | hc9558a2_0 1.9 MB
olefile-0.46 | py_0 31 KB
pillow-6.2.1 | py37hd70f55b_1 632 KB
pytorch-1.5.1 |py3.7_cuda10.2.89_cudnn7.6.5_0 424.3 MB pytorch
torchvision-0.6.1 | py37_cu102 11.7 MB pytorch
------------------------------------------------------------
Total: 805.2 MB
cudatoolkit pkgs/main/linux-64::cudatoolkit-10.2.89-hfd86e86_1
libtiff anaconda/cloud/conda-forge/linux-64::libtiff-4.1.0-hc7e4089_6
libwebp-base anaconda/cloud/conda-forge/linux-64::libwebp-base-1.1.0-h516909a_3
ninja anaconda/cloud/conda-forge/linux-64::ninja-1.10.0-hc9558a2_0
olefile anaconda/cloud/conda-forge/noarch::olefile-0.46-py_0
pillow anaconda/cloud/conda-forge/linux-64::pillow-6.2.1-py37hd70f55b_1
pytorch pytorch/linux-64::pytorch-1.5.1-py3.7_cuda10.2.89_cudnn7.6.5_0
torchvision pytorch/linux-64::torchvision-0.6.1-py37_cu102
Proceed ([y]/n)?
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