I have sentence embedding output X of a sentence pair of dimension
2*1*300. I want to split this output into two vectors of shape
1*300 to calculate its absolute difference and product.
x = MaxPooling2D(pool_size=(1,MAX_SEQUENCE_LENGTH),strides=(1,1))(x) x_A = Reshape((1,EMBEDDING_DIM))(x[:,0]) x_B = Reshape((1,EMBEDDING_DIM))(x[:,1]) diff = keras.layers.Subtract()([x_A, x_B]) prod = keras.layers.Multiply()([x_A, x_B]) nn = keras.layers.Concatenate()([diff, prod])
Currently, when I do
x[:,0] it throws an error saying
AttributeError: 'Tensor' object has no attribute '_keras_shape'. I assume the result of splitting of tensor object is a tensor object that doesn’t have
Can someone help me solve this? Thanks.