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synced 2025-09-08 00:24:19 +00:00
minor fixes
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8e1d8c9316
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@ -770,7 +770,7 @@ def main():
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# we need cut ids to display recognition results.
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args.return_cuts = True
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aishell = AiShell2AsrDataModule(args)
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aishell2 = AiShell2AsrDataModule(args)
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def remove_short_utt(c: Cut):
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T = ((c.num_frames - 7) // 2 + 1) // 2
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@ -780,13 +780,13 @@ def main():
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)
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return T > 0
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dev_cuts = aishell.valid_cuts()
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dev_cuts = aishell2.valid_cuts()
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dev_cuts = dev_cuts.filter(remove_short_utt)
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dev_dl = aishell.valid_dataloaders(dev_cuts)
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dev_dl = aishell2.valid_dataloaders(dev_cuts)
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test_cuts = aishell.test_meeting_cuts()
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test_cuts = aishell2.test_cuts()
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test_cuts = test_cuts.filter(remove_short_utt)
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test_dl = aishell.test_dataloaders(test_cuts)
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test_dl = aishell2.test_dataloaders(test_cuts)
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test_sets = ["dev", "test"]
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test_dls = [dev_dl, test_dl]
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@ -241,7 +241,7 @@ def main():
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# we need cut ids to display recognition results.
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args.return_cuts = True
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aishell = AiShell2AsrDataModule(args)
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aishell2 = AiShell2AsrDataModule(args)
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def remove_short_utt(c: Cut):
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T = ((c.num_frames - 7) // 2 + 1) // 2
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@ -251,13 +251,13 @@ def main():
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)
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return T > 0
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dev_cuts = aishell.valid_cuts()
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dev_cuts = aishell2.valid_cuts()
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dev_cuts = dev_cuts.filter(remove_short_utt)
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dev_dl = aishell.valid_dataloaders(dev_cuts)
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dev_dl = aishell2.valid_dataloaders(dev_cuts)
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test_cuts = aishell.test_net_cuts()
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test_cuts = aishell2.test_net_cuts()
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test_cuts = test_cuts.filter(remove_short_utt)
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test_dl = aishell.test_dataloaders(test_cuts)
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test_dl = aishell2.test_dataloaders(test_cuts)
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test_sets = ["dev", "test"]
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test_dl = [dev_dl, test_dl]
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@ -855,10 +855,10 @@ def main():
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num_param = sum([p.numel() for p in model.parameters()])
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logging.info(f"Number of model parameters: {num_param}")
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aishell = AiShell2AsrDataModule(args)
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aishell2 = AiShell2AsrDataModule(args)
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dev_cuts = aishell.valid_cuts()
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test_cuts = aishell.test_cuts()
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dev_cuts = aishell2.valid_cuts()
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test_cuts = aishell2.test_cuts()
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test_sets = ["dev", "test"]
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test_cuts = [dev_cuts, test_cuts]
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@ -1135,10 +1135,10 @@ def run(rank, world_size, args):
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if params.inf_check:
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register_inf_check_hooks(model)
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aishell = AiShell2AsrDataModule(args)
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aishell2 = AiShell2AsrDataModule(args)
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train_cuts = aishell.train_cuts()
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valid_cuts = aishell.valid_cuts()
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train_cuts = aishell2.train_cuts()
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valid_cuts = aishell2.valid_cuts()
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def remove_short_and_long_utt(c: Cut):
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# Keep only utterances with duration between 1 second and 15 seconds
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@ -1186,11 +1186,11 @@ def run(rank, world_size, args):
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else:
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sampler_state_dict = None
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train_dl = aishell.train_dataloaders(
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train_dl = aishell2.train_dataloaders(
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train_cuts, sampler_state_dict=sampler_state_dict
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)
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valid_dl = aishell.valid_dataloaders(valid_cuts)
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valid_dl = aishell2.valid_dataloaders(valid_cuts)
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if False and not params.print_diagnostics:
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scan_pessimistic_batches_for_oom(
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