This is a simple multicore CTC library suitable for use with PyTorch.

$ python setup.py install

There are two primary functions, cctc_align_targets and cctc_align_targets_batched. The first takes a length x depth tensor, while the second takes a batch x length x depth tensor and applies allignment to each batch element. Operations over batches are parallelized using std::async.

A call to cctc_align_targets(output, source, targets) aligns the source with the targets. The source length must be equal to, or greater than, the target length. The depths must be equal.Sources and targets must be normalized along the depth dimension (i.e., represent posterior probabilities). The output tensor is resized to the proper dimension and the aligned result returned in the output tensor. Note that the result is not returned as a return value.

See cctc_test.py for a simple example of usage.