|TensorFlow 2.0 version||View source on GitHub|
Computes the shape of a broadcast given symbolic shapes.
tf.broadcast_dynamic_shape( shape_x, shape_y )
When shape_x and shape_y are Tensors representing shapes (i.e. the result of calling tf.shape on another Tensor) this computes a Tensor which is the shape of the result of a broadcasting op applied in tensors of shapes shape_x and shape_y.
For example, if shape_x is [1, 2, 3] and shape_y is [5, 1, 3], the result is a Tensor whose value is [5, 2, 3].
This is useful when validating the result of a broadcasting operation when the tensors do not have statically known shapes.
shape_x: A rank 1 integer
Tensor, representing the shape of x.
shape_y: A rank 1 integer
Tensor, representing the shape of y.
A rank 1 integer
Tensor representing the broadcasted shape.