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@ -792,6 +792,7 @@ def compute_loss(
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batch: dict,
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is_training: bool,
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decode: bool = False,
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pl_texts: dict = None,
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) -> Tuple[Tensor, MetricsTracker]:
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"""
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Compute transducer loss given the model and its inputs.
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@ -832,11 +833,10 @@ def compute_loss(
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batch_idx_train = params.batch_idx_train
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warm_step = params.warm_step
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texts = batch["supervisions"]["text"]
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print(texts)
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exit()
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#texts = batch["supervisions"]["text"]
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texts = []
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for utt_id in
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#texts = batch["greedy pseudo text"]
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token_ids = sp.encode(texts, out_type=int)
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y = k2.RaggedTensor(token_ids).to(device)
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