ruizhang1230

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Compatibility with future python versions

Thanks for your interest. The current version is not compatible with pytorch 2.3.0. We are planning to split our code from the PyTorch CUDACachingAllocator. Then our framework will be compatible...

How to use this work in the TensorFlow system？

We have not adapted our work to the TensorFlow system.

use glake-torch-1.13.1 whl package error:OSError: libmkl_gnu_thread.so.1: cannot open shared object file: No such file or directory

The glake-torch-1.13.1 whl package is built with cuda-11.6. Please try to run with cuda-11.6.

Could you please provide the libcuda.so or libc10_cuda.so corresponding to pytorch 1.13.1?

Thanks for your interest. I have uploaded a glake-torch-1.13.1 whl package, please check the branch of torch-1.13.1.

Wheel file

Thanks for your interest. I have uploaded a glake-torch-1.13.1 whl package, please check the branch of torch-1.13.1.

Building Pytorch release 2.1 + Glake failed

Thanks for your interest. The version of GMLake we released is compatible with PyTorch2.0. The offical version of PyTorch2.1 is released in October. We are adapting our work to the...

Building Pytorch release 2.1 + Glake failed

We had post our roadmap, please check the url. https://github.com/intelligent-machine-learning/glake/issues/14

Comparison with expandable_segments in pytorch/c10?

Thank you for your interest in our work. GMLake was implemented before April 2023. Our work was originally completed on the PyTorch-1.13.1. After PyTorch-2.0 was released, we adapted our work...