auto frontend

游雁

2024-06-07 a0becf3cd81fcb534256927a53261730250cad3a

 funasr/datasets/openai_datasets/datasets.py

@@ -201,30 +201,30 @@
                    data_list, batch_first=True, padding_value=pad_value
                )

        # if self.batch_type != "example":
        #     for i in range(10):
        #         outputs = self._filter_badcase(outputs, i=i)
        if self.batch_type != "example":
            for i in range(10):
                outputs = self._filter_badcase(outputs, i=i)

        return outputs

    def _filter_badcase(self, outputs, i=0):
        b, t, _ = outputs["speech"].shape
        b, t = outputs["input_ids"].shape

        if b * t > self.batch_size * 1.25:
        if b * t > self.batch_size * 2:
            beg = torch.randint(0, 2, ()).item()
            if b < 2:
                beg = 0
            logging.info(
                f"Warning, b * t: {b * t} > {self.batch_size}, drop half data {i}th, beg:{beg}"
                f"Warning, b * t: {b * t} > {self.batch_size}, b: {b}, t: {t}, drop half data {i}th, beg:{beg}"
            )
            for key, data_list in outputs.items():
                outputs[key] = outputs[key][beg : beg + b : 2]

            speech_lengths_max = outputs["speech_lengths"].max().item()
            outputs["speech"] = outputs["speech"][:, :speech_lengths_max, :]
            text_lengths_max = outputs["text_lengths"].max().item()
            outputs["text"] = outputs["text"][:, :text_lengths_max]
            target_mask_lengths_max = outputs["target_mask_lengths"].max().item()
            outputs["target_mask"] = outputs["target_mask"][:, :target_mask_lengths_max]
            #
            # speech_lengths_max = outputs["speech_lengths"].max().item()
            # outputs["speech"] = outputs["speech"][:, :speech_lengths_max, :]
            # text_lengths_max = outputs["text_lengths"].max().item()
            # outputs["text"] = outputs["text"][:, :text_lengths_max]
            # target_mask_lengths_max = outputs["target_mask_lengths"].max().item()
            # outputs["target_mask"] = outputs["target_mask"][:, :target_mask_lengths_max]

        return outputs