topic Packages in Conda are outdated in Intel® Distribution for Python*

Packages in Conda are outdated

Oywa__Martin — Sat, 29 Feb 2020 16:53:34 GMT

I noticed that almost all python packages are outdated in conda, and I have to update them my self while using the notebooks.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

Hi,

AthiraM_Intel — Wed, 04 Mar 2020 06:23:56 GMT

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.

Hi,

AthiraM_Intel — Mon, 09 Mar 2020 12:27:36 GMT

Hi,

Could you please share the above mentioned details.

Thanks

Hi,

Oywa__Martin — Tue, 10 Mar 2020 21:33:12 GMT

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.

Hi,

AthiraM_Intel — Thu, 12 Mar 2020 05:03:51 GMT

Hi,

We are forwarding this case to Engineering team.

Thanks

Hi, Thanks

Oywa__Martin — Mon, 16 Mar 2020 11:43:43 GMT

Hi,

Thanks

Hi Martin

Ying_H_Intel — Fri, 03 Apr 2020 10:27:44 GMT

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

Re: Hi Martin

Ying_H_Intel — Thu, 23 Jul 2020 07:26:31 GMT

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