Problem description

Currently, only Conda dependencies can be used to define the build environment when no build isolation is desired. One common use case for disabling build isolation is for building PyTorch CUDA extensions which implies projects with such extensions must install PyTorch with Conda. However, PyTorch 2.5 is the last version to officially support the pytorch Conda channel. While there are pytorch-{cpu,gpu} packages on conda-forge,

please do note that not all gaps, like full Windows support, will be closed and should not be viewed in the short run as a 1:1 offering with our current Anaconda offering.

In the interest of using the best supported PyTorch builds, would it be possible to use pip dependencies to define the build environment as well?