Improve code based on reviewer feedback
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@ -580,9 +580,10 @@ class Flatten(Layer):
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permutation.append(1)
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inputs = array_ops.transpose(inputs, perm=permutation)
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input_shape = tensor_shape.TensorShape(inputs.shape).as_list()
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if input_shape and all(input_shape[1:]):
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outputs = array_ops.reshape(inputs, (-1, int(np.prod(input_shape[1:]))))
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input_shape = inputs.shape
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if input_shape[1:].is_fully_defined():
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outputs = array_ops.reshape(
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inputs, (-1, tensor_shape.dimension_value(np.prod(input_shape[1:]))))
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else:
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outputs = array_ops.reshape(
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inputs, (tensor_shape.dimension_value(inputs.shape[0]) or
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