def __init__(self, **kwargs):
    self.output_dim = K.placeholder(None)
    super(SumationLayer, self).__init__(**kwargs)

def build(self, input_shape):
    # Create a trainable weight variable for this layer.
    self.kernel = self.add_weight(name='kernel',
                                  shape=(input_shape[1], self.output_dim),
                                  initializer='uniform',
                                  trainable=True)
    super(SumationLayer, self).build(input_shape)  # Be sure to call this somewhere!
    self.output_dim = (input_shape[0], self.output_dim)
def call(self, x):
    return x + self.kernel

def compute_output_shape(self, input_shape):
    return (input_shape[0], self.output_dim)

TypeError: Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int32, int64