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A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools for PyTorch model evaluations.
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57
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Remove NE metric input range check to avoid cudaStreamSynchronize
8b9f59bView on GitHubAllow to pass weights in BinaryRecallAtFixedPrecision
7104dbaView on GitHubFIx and add in-model support with the proper label presence
33c1391View on GitHubCorrected a bug when saving and loading best module state dict
5f2d69aView on GitHubfbcode/torcheval/metrics/functional/text/word_error_rate.py
f187c51View on GitHubConvert directory fbcode/torcheval to use the Ruff Formatter
2c7dfb3View on GitHub