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wenet-chinese-model

like 1

• "__torch__.torch.nn.modules.conv.Conv1d",
• "__torch__.wenet.transformer.attention.MultiHeadedAttention",
• "__torch__.torch.nn.modules.loss.CTCLoss",
• "__torch__.wenet.transformer.subsampling.Conv2dSubsampling4",
• "torch._utils._rebuild_tensor_v2",
• "__torch__.wenet.transformer.decoder_layer.DecoderLayer",
• "__torch__.torch.nn.modules.container.___torch_mangle_4.Sequential",
• "__torch__.torch.nn.modules.activation.ReLU",
• "__torch__.torch.nn.modules.sparse.Embedding",
• "__torch__.wenet.transformer.embedding.RelPositionalEncoding",
• "__torch__.torch.nn.modules.normalization.LayerNorm",
• "torch.jit._pickle.build_intlist",
• "torch.QInt8Storage",
• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.loss.KLDivLoss",
• "__torch__.torch.nn.modules.container.ModuleList",
• "__torch__.wenet.transformer.convolution.ConvolutionModule",
• "__torch__.wenet.transformer.decoder.TransformerDecoder",
• "__torch__.torch.nn.quantized.modules.linear.LinearPackedParams",
• "torch.per_tensor_affine",
• "collections.OrderedDict",
• "__torch__.torch.nn.modules.conv.___torch_mangle_3.Conv1d",
• "__torch__.wenet.transformer.attention.RelPositionMultiHeadedAttention",
• "torch._utils._rebuild_qtensor",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "__torch__.torch.nn.modules.activation.SiLU",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.wenet.transformer.positionwise_feed_forward.PositionwiseFeedForward",
• "__torch__.wenet.transformer.positionwise_feed_forward.___torch_mangle_5.PositionwiseFeedForward",
• "__torch__.wenet.transformer.asr_model.ASRModel",
• "__torch__.torch.nn.modules.container.___torch_mangle_1.Sequential",
• "__torch__.wenet.transformer.cmvn.GlobalCMVN",
• "__torch__.torch.nn.quantized.dynamic.modules.linear.Linear",
• "__torch__.wenet.transformer.label_smoothing_loss.LabelSmoothingLoss",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.container.___torch_mangle_6.ModuleList",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv1d",
• "__torch__.wenet.transformer.embedding.PositionalEncoding",
• "__torch__.wenet.transformer.encoder.ConformerEncoder",
• "__torch__.torch.nn.modules.dropout.Dropout",
• "__torch__.wenet.transformer.ctc.CTC",
• "__torch__.wenet.transformer.decoder.BiTransformerDecoder",
• "__torch__.wenet.transformer.encoder_layer.ConformerEncoderLayer",
• "collections.OrderedDict",
• "torch.BoolStorage",
• "torch.FloatStorage",
• "torch._utils._rebuild_tensor_v2"

How to fix it?