| funasr/datasets/audio_datasets/espnet_samplers.py | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 | |
| funasr/datasets/audio_datasets/samplers.py | ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史 |
funasr/datasets/audio_datasets/espnet_samplers.py
@@ -56,8 +56,8 @@ self.shuffle = shuffle and is_training self.drop_last = drop_last # self.total_size = len(self.dataset) # self.num_samples = int(math.ceil(self.total_size / self.num_replicas)) self.total_size = len(self.dataset) self.num_samples = int(math.ceil(self.total_size / self.num_replicas)) self.epoch = 0 self.sort_size = sort_size * num_replicas self.max_token_length = kwargs.get("max_token_length", 2048) funasr/datasets/audio_datasets/samplers.py
@@ -323,7 +323,7 @@ self.shuffle = shuffle and is_training self.drop_last = drop_last # self.total_size = len(self.dataset) self.total_size = len(self.dataset) self.num_samples = int(math.ceil(self.total_size / self.num_replicas)) self.epoch = 0 self.sort_size = sort_size * num_replicas @@ -350,7 +350,7 @@ max_len_in_batch = 0 for idx in buffer: original_sample_length = self.dataset.get_source_len(idx) if original_sample_length > self.max_sample_length: if original_sample_length > self.max_token_length: continue sample_length = 1 if self.batch_type == "example" else original_sample_length potential_batch_length = max(max_len_in_batch, sample_length) * (len(batch) + 1)