Packages in Conda are outdated

[Oywa__Martin]

I noticed that almost all python packages are outdated in conda, and I have to update them my self while using the notebooks.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?

[AthiraM_Intel]

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.

[AthiraM_Intel]

Hi,

Could you please share the above mentioned details.

Thanks

[Oywa__Martin]

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.

[AthiraM_Intel]

Hi,

We are forwarding this case to Engineering team.

Thanks

[Oywa__Martin]

Hi,

Thanks

[Ying_H_Intel]

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

[Ying_H_Intel]

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, 

(base) yhu5@clx01:~/Desktop$ conda install pytorch torchvision cudatoolkit=10.2 -c pytorch
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/yhu5/intelpython3_2020/intelpython3

  added / updated specs:
    - cudatoolkit=10.2
    - pytorch
    - torchvision

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    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

The following NEW packages will be INSTALLED:

  blas               anaconda/pkgs/free/linux-64::blas-1.0-mkl
  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)?

and the deafult PIL is 6.2.1 version.  if the version is still low, maybe you can pip install direclty PIL 7.x version to workaround the issue. 

Best Regards,

Ying