|TensorFlow 1 version||View source on GitHub|
Computes the shape of a broadcast given known shapes.
Compat aliases for migration
See Migration guide for more details.
tf.broadcast_static_shape( shape_x, shape_y )
shape_y are fully known
TensorShapes this computes a
TensorShape which is the shape of the result of a broadcasting op applied in
tensors of shapes
For example, if shape_x is
TensorShape([1, 2, 3]) and shape_y is
TensorShape([5, 1, 3]), the result is a TensorShape whose value is
TensorShape([5, 2, 3]).
This is useful when validating the result of a broadcasting operation when the tensors have statically known shapes.
shape_x = tf.TensorShape([1, 2, 3])
shape_y = tf.TensorShape([5, 1 ,3])
TensorShape([5, 2, 3])
||If the two shapes can not be broadcasted.|