Multi tool use

Keras: Input to reshape is a tensor with 6 values, but the requested shape has 3

I created a custom layers in Keras. For simplicity you can image the custom layer accepts any number of tensor and sum them together vertically. In terms of I/O it should look something like this:

My code looks something like:

# data has shape (4, 3, 3), where 4 is the number of instances, 3 is
# the number of rows and the second 3 the number of columns.
data = np.array(...)
labels = np.array(...)
inputs = keras.layers.Input(shape=(None, 3), name='input')
custom = CustomLayer(name='c1')(inputs)
softmax = keras.layers.Dense(
units=2, activation='softmax',
name='softmax')(custom)
model = keras.models.Model(inputs=inputs, outputs=softmax)
model.compile(optimizer='sgd', loss='categorical_crossentropy')
model.fit(data, labels, epochs=2)


Up until .fit() everything goes alright, then I always get an error:

File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 519, in __exit__
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Input to reshape is a tensor with 6 values, but the requested shape has 3
[[Node: c1/map/while/Reshape = Reshape[T=DT_FLOAT, Tshape=DT_INT32, _class=["loc:@training/SGD/gradients/c1/map/while/Slice_grad/Pad"], _device="/job:loc
alhost/replica:0/task:0/device:CPU:0"](s1/map/while/TensorArrayReadV3, s1/map/while/Slice_1/size)]]


Any idea what the issue could be?

CustomLayer

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