shengfeng commented on issue #13374: [Bug] ValueError: There are multiple outputs with name "resnetv1b0_layers1_relu0_fwd_output". URL: https://github.com/apache/incubator-mxnet/issues/13374#issuecomment-448850208 I also encounter this problem when using TextCNN, here is my model: `class TextCNN(HybridBlock): def __init__(self, args, vocab, kernel_sizes, num_channels, **kwargs): super(TextCNN, self).__init__(**kwargs) self.embedding = nn.Embedding(len(vocab), args.embed_size) self.constant_embedding = nn.Embedding(len(vocab), args.embed_size) self.dropout = nn.Dropout(0.5) self.decoder = nn.Dense(5) self.pool = nn.GlobalMaxPool1D() self.convs = nn.HybridSequential() for c, k in zip(num_channels, kernel_sizes): self.convs.add(nn.Conv1D(c, k, activation='relu')) def hybrid_forward(self, F, inputs): embeddings = F.concat(self.embedding(inputs), self.constant_embedding(inputs), dim=2) embeddings = embeddings.transpose((0, 2, 1)) encoding = F.concat(*[F.flatten( self.pool(conv(embeddings))) for conv in self.convs], dim=1) outputs = self.decoder(self.dropout(encoding)) return F.softmax(outputs) `
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