multipy
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pytorch
torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters in a single C++ process.
Summary: Ignore return value of function declared with 'warn_unused_result' Addresses the following build failure that we get on some of our internal build environments: caffe2/torch/csrc/deploy/environment.h:60:5: error: ignoring return value of...
Can this repo work with TorchInductor in PyTorch 2.0? Will someone provide any examples of deploying with torch::multipy in PyTorch 2.0 compile mode? cc @PaliC
Building top of tree using the recommended method (Dockerfile) fails with what appears to be a _conda_ error. [Here](https://gist.github.com/coppock/797643d2415ec9374fbcdc6537eeb6a1) is a Gist with the build log. There are a lot...
This issue starts to pop up very recently on PyTorch CI when trying to use `multipy` in testing: ``` + pip install -e . --install-option=--cudatests Usage: pip install [options] [package-index-options]...
As more projects are using Poetry, it would be good to add support to build off of poetry as we do off of pip
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * __->__ #314
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * __->__ #310 * #308
Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * #310 * __->__ #308
When code fails in a subinterpreter we should have our error point to where the runtime error occurs in python.