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@edward-io edward-io released this 29 Oct 00:18
· 178 commits to main since this release
0.0.5
e11aa3e

TorchEval (0.0.5)

Installation from pypi is recommended:

pip install torcheval

A library with simple and straightforward tooling for model evaluations and a delightful user experience. At a high level TorchEval:

  • Contains a rich collection of high performance metric calculations out of the box. We utilize vectorization and GPU acceleration where possible via PyTorch.

  • Integrates seamlessly with distributed training and tools using torch.distributed

  • Is designed with extensibility in mind: you have the freedom to easily create your own metrics and leverage our toolkit.

  • Provides tools for profiling memory and compute requirements for PyTorch based models.

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