Poetry doesn't detect PyTorch 2.0.1 dependencies correctly

[Interpause]

• Poetry version: Poetry (version 1.5.0)

• Python version: 3.9.16

• OS version and name: Ubuntu 22.04 (WSL2)

• pyproject.toml: https://gist.github.com/Interpause/09bc5076c2fa52e13d7baa97a512c02e

• I am on the latest stable Poetry version, installed using a recommended method.

• I have searched the issues of this repo and believe that this is not a duplicate.

• I have consulted the FAQ and blog for any relevant entries or release notes.

• If an exception occurs when executing a command, I executed it again in debug mode (-vvv option) and have included the output below.

Issue

Poetry pulls in nvidia-*-cu11 dependencies of torch when using version 2.0.0, but not 2.0.1. pip pulls in all dependencies correctly when used, so it is unlikely to be an upstream package misconfig. Below are the outputs of pip show torch and poetry show torch for both versions:

pip show torch

For version 2.0.0:

Name: torch
Version: 2.0.0
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Home-page: https://pytorch.org/
Author: PyTorch Team
Author-email: [email protected]
License: BSD-3
Location: /home/jh/.conda/envs/ideadino/lib/python3.9/site-packages
Requires: filelock, jinja2, networkx, nvidia-cublas-cu11, nvidia-cuda-cupti-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-runtime-cu11, nvidia-cudnn-cu11, nvidia-cufft-cu11, nvidia-curand-cu11, nvidia-cusolver-cu11, nvidia-cusparse-cu11, nvidia-nccl-cu11, nvidia-nvtx-cu11, sympy, triton, typing-extensions
Required-by: torchvision, triton

For version 2.0.1:

Name: torch
Version: 2.0.1
Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
Home-page: https://pytorch.org/
Author: PyTorch Team
Author-email: [email protected]
License: BSD-3
Location: /home/jh/.conda/envs/til/lib/python3.9/site-packages
Requires: filelock, jinja2, networkx, nvidia-cublas-cu11, nvidia-cuda-cupti-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-runtime-cu11, nvidia-cudnn-cu11, nvidia-cufft-cu11, nvidia-curand-cu11, nvidia-cusolver-cu11, nvidia-cusparse-cu11, nvidia-nccl-cu11, nvidia-nvtx-cu11, sympy, triton, typing-extensions
Required-by: til-23-cv, torchvision

poetry show torch

For version 2.0.0:

 name         : torch                                                                      
 version      : 2.0.0                                                                      
 description  : Tensors and Dynamic neural networks in Python with strong GPU acceleration 

dependencies
 - filelock *
 - jinja2 *
 - networkx *
 - nvidia-cublas-cu11 11.10.3.66
 - nvidia-cuda-cupti-cu11 11.7.101
 - nvidia-cuda-nvrtc-cu11 11.7.99
 - nvidia-cuda-runtime-cu11 11.7.99
 - nvidia-cudnn-cu11 8.5.0.96
 - nvidia-cufft-cu11 10.9.0.58
 - nvidia-curand-cu11 10.2.10.91
 - nvidia-cusolver-cu11 11.4.0.1
 - nvidia-cusparse-cu11 11.7.4.91
 - nvidia-nccl-cu11 2.14.3
 - nvidia-nvtx-cu11 11.7.91
 - sympy *
 - triton 2.0.0
 - typing-extensions *

required by
 - torchvision 2.0.0
 - triton 

For version 2.0.1:

 name         : torch                                                                      
 version      : 2.0.1                                                                      
 description  : Tensors and Dynamic neural networks in Python with strong GPU acceleration 

dependencies
 - filelock *
 - jinja2 *
 - networkx *
 - sympy *
 - typing-extensions *

required by
 - torchvision 2.0.1

[ralbertazzi]

It looks a PyTorch issue, where they uploaded wrong metadata to PyPI: pytorch/pytorch#100974. Until they solve it, my suggestion is to use url dependencies (#6409 for reference). If you agree, please close the issue.

[dimbleby]

(as previously disccused in #7902, which this duplicates)

[Interpause]

Huh, weird I did not find #7902. Okay, closing.

[github-actions]

This issue has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.