RNNT-pytorch
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Implementaion RNN tranceducer
논문에서는 bptt를 사용했다고 봤던 것 같은데, 해당 소스에는 bptt 구현은 없는 것 같네요? layer가 한종류라면은 쉽게 구현 가능할텐데, transcript와 prediction이 따로 네트워크로 존재하다보니, 어떻게 해야할지 크게 난항을 겪고있습니다 ㅠㅠㅠ 혹시...
I got an error on from data.SpecAugment import sparse_image_warp_zcaceres could you give me some advice to solve it.
train_loss = model(inputs, targets_list, input_sizes, target_sizes) File "/home/Liangcd/anaconda3/envs/pyEnv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__ result = self.forward(*input, **kwargs) File "/home/Liangcd/code/pytorch/RNNT-pytorch-master/models/models.py", line 188, in forward loss = self.loss(out, ys.int(), xlen, ylen) File "/home/Liangcd/anaconda3/envs/pyEnv/lib/python3.7/site-packages/torch/nn/modules/module.py",...