|  TensorFlow 2 version |  View source on GitHub | 
Computes the shape of a broadcast given known shapes.
tf.broadcast_static_shape(
    shape_x, shape_y
)
When shape_x and 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 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 TensorShape whose value is [5, 2, 3].
This is useful when validating the result of a broadcasting operation when the tensors have statically known shapes.
| Args | |
|---|---|
| shape_x | A TensorShape | 
| shape_y | A TensorShape | 
| Returns | |
|---|---|
| A TensorShaperepresenting the broadcasted shape. | 
| Raises | |
|---|---|
| ValueError | If the two shapes can not be broadcasted. |