| | |
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| | | import torch.nn as nn |
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| | | import torch.nn.functional as F |
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| | | from funasr.modules.streaming_utils.chunk_utilis import overlap_chunk |
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| | | from typeguard import check_argument_types |
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| | | import numpy as np |
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| | | from funasr.torch_utils.device_funcs import to_device |
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| | | from funasr.modules.nets_utils import make_pad_mask |
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| | |
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| | | tf2torch_tensor_name_prefix_torch: str = "encoder", |
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| | | tf2torch_tensor_name_prefix_tf: str = "seq2seq/encoder", |
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| | | ): |
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| | | assert check_argument_types() |
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| | | super().__init__() |
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| | | self._output_size = output_size |
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| | | |
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| | |
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| | | tf2torch_tensor_name_prefix_torch: str = "encoder", |
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| | | tf2torch_tensor_name_prefix_tf: str = "seq2seq/encoder", |
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| | | ): |
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| | | assert check_argument_types() |
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| | | super().__init__() |
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| | | self._output_size = output_size |
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| | | |
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| | |
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| | | sanm_shfit : int = 0, |
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| | | selfattention_layer_type: str = "sanm", |
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| | | ): |
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| | | assert check_argument_types() |
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| | | super().__init__() |
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| | | self._output_size = output_size |
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| | | |
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