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https://github.com/modelscope/FunASR
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@ -3,8 +3,8 @@
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. ./path.sh || exit 1;
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# machines configuration
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CUDA_VISIBLE_DEVICES="0,1"
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gpu_num=2
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CUDA_VISIBLE_DEVICES="0"
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gpu_num=1
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count=1
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gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding
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# for gpu decoding, inference_nj=ngpu*njob; for cpu decoding, inference_nj=njob
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14
funasr/layers/abs_normalize.py
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14
funasr/layers/abs_normalize.py
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from abc import ABC
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from abc import abstractmethod
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from typing import Tuple
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import torch
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class AbsNormalize(torch.nn.Module, ABC):
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@abstractmethod
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def forward(
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self, input: torch.Tensor, input_lengths: torch.Tensor = None
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) -> Tuple[torch.Tensor, torch.Tensor]:
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# return output, output_lengths
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raise NotImplementedError
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