Adds batching and CTCLoss functionality to RNNProcessor#16
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This PR adds support for
RNNProcessor.partial_fitto fit on a batch (multiple samples of sequences of features) instead of one sample at a time. It further adds support for usingtorch.nn.CTCLossas a customized loss function (similar totorch.nn.CrossEntropyLoss), due to its atypical function arguments.I roughly designed the data structure containing sequence and target lengths to match the existing method for passing targets and data in one AxisArray, but it's not the cleanest. Happy to work through a better implementation in this PR if desired.
Also worth noting that
torch.nn.CTCLossis not implemented in MPS in the latest release, but is in active development. The latest nightly worked for me.