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 TensorShape representing the broadcasted shape.
|
Raises | |
---|---|
ValueError
|
If the two shapes can not be broadcasted. |