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Automatic differentiation package - tensorplay.autograd Automatic Mixed Precision package - tensorplay.amp Distributed communication package - tensorplay.distributed Multiprocessing package - tensorplay.multiprocessing Quantization tensorplay tensorplay.audio tensorplay.compiler tensorplay.cuda tensorplay.fft tensorplay.futures tensorplay.hub tensorplay.library tensorplay.linalg tensorplay.nn tensorplay.nn.functional tensorplay.nn.init tensorplay.optim tensorplay.random tensorplay.sparse tensorplay.special tensorplay.stax tensorplay.utils.checkpoint tensorplay.utils.data tensorplay.vision Upstream anchor labels

BatchSampler ChainDataset CheckpointPolicy ConcatDataset DataLoader Dataset IterableDataset RandomSampler Sampler SequentialSampler StackDataset Subset SubsetRandomSampler TensorDataset tensorplay.utils.checkpoint.checkpoint tensorplay.utils.checkpoint.checkpoint_sequential tensorplay.utils.checkpoint.set_checkpoint_early_stop tensorplay.utils.data.default_collate tensorplay.utils.data.default_convert tensorplay.utils.data.get_worker_info WeightedRandomSampler

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tensorplay.utils.checkpoint.set_checkpoint_early_stop

tensorplay.utils.checkpoint.set_checkpoint_early_stop(enabled: bool) → None[source]: No-op for API parity.

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tensorplay.utils.checkpoint.checkpoint_sequential

torch.utils.checkpoint.checkpoint_sequential compatibility.

tensorplay.utils.data.default_collate

Take in a batch of data and put the elements within the batch into a tensor with an additional outer dimension - batch size.