fix bug

游雁

2024-06-09 1c8b46a233ac4a782d7170e20533f536761e25c4

 funasr/datasets/audio_datasets/samplers.py

@@ -334,6 +334,7 @@
        drop_last=False,
        is_training: bool = True,
        sort_size: int = 1024,
        start_step: int = 0,
        **kwargs,
    ):

@@ -364,12 +365,14 @@
        self.sort_size = sort_size * num_replicas
        self.max_token_length = kwargs.get("max_token_length", 2048)
        self.length_scale_source = kwargs.get("length_scale_source", 1.0)
        self.start_step = kwargs.get("start_step", 2048)
        self.batch_size_sample_max = kwargs.get("batch_size_sample_max", 200)

        super().__init__(
            dataset, num_replicas=num_replicas, rank=rank, shuffle=shuffle, drop_last=drop_last
        )
        self.start_step = start_step
        self.batch_num = 1
        if self.start_step > 0:
            logging.info(f"Warning, start_step > 0, dataloader start from step: {self.start_step}")
        # super().__init__(
        #     dataset, num_replicas=num_replicas, rank=rank, shuffle=shuffle, drop_last=drop_last
        # )

    def __iter__(self):
        if self.shuffle:
@@ -424,11 +427,11 @@
            rank_batches[i % self.num_replicas].append(batch)

        # Assign all batches for the current rank directly
        final_batches = rank_batches[self.rank]  # [self.start_step :]
        final_batches = rank_batches[self.rank][self.start_step :]
        self.batch_num = len(final_batches)

        logging.info(
            f"rank: {self.rank}, dataloader start from step: {self.start_step}, batch_num: {self.batch_num}"
            f"rank: {self.rank}, dataloader start from step: {self.start_step}, batch_num: {rank_batches[self.rank]}, after: {self.batch_num}"
        )
        return iter(final_batches)