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Add support for export.py
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@ -74,7 +74,7 @@ class FrameReducer(nn.Module):
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padding_mask = make_pad_mask(x_lens)
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non_blank_mask = (ctc_output[:, :, blank_id] < math.log(0.9)) * (~padding_mask)
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if y_lens is not None or self.training is False:
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if y_lens is not None or self.training == False:
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# Limit the maximum number of reduced frames
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if y_lens is not None:
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limit_lens = T - y_lens
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@ -93,12 +93,12 @@ class FrameReducer(nn.Module):
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.to(device=x.device)
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)
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T = torch.remainder(T, limit_lens.unsqueeze(1))
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limit_indexes = torch.gather(fake_limit_indexes, 1, T)
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limit_mask = torch.full_like(
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limit_indexes = torch.gather(fake_limit_indexes, 1, torch.tensor(T))
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limit_mask = (torch.full_like(
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non_blank_mask,
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False,
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0,
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device=x.device,
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).scatter_(1, limit_indexes, True)
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).scatter_(1, limit_indexes, 1) == 1)
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non_blank_mask = non_blank_mask | ~limit_mask
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@ -112,7 +112,7 @@ class FrameReducer(nn.Module):
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)
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- out_lens
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)
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max_pad_len = pad_lens_list.max()
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max_pad_len = int(pad_lens_list.max().item())
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out = F.pad(x, (0, 0, 0, max_pad_len))
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