The following code snippet is giving error (Graph disconnected: cannot obtain value for tensor):
x = Concatenate (axis = 1) (submodel_outputs)
parallel_layers = Model (inputs = embedding_layers [0] .input, outputs = x)
The value of embedding_layers [0] .get_input_at (0) is equal to:
<tf.Tensor 'embedding_8_input: 0' shape = (?, 100) dtype = float32>
The variable x is the concatenation of 3 models, such as:
- embedding_8 (Embedding) - (None, 100, 300)
- dropout_22 (Dropout) - (None, 100, 300)
- skip_conv1d_22 (SkipConv1D- (None, 100, 100)
- max_pooling1d_22 (MaxPooling)(None, 25, 100)
I've tried everything, but the error continues. What do I do to make the following line work:
parallel_layers = Model (inputs = embedding_layers [0] .input, outputs = x)
