tf.broadcast_static_shape

Computes the shape of a broadcast given known shapes.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.broadcast_static_shape

 
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 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.

Example:

shape_x = tf.TensorShape([1, 2, 3])
shape_y = tf.TensorShape([5, 1 ,3])
tf.broadcast_static_shape(shape_x, shape_y)
TensorShape([5, 2, 3])

shape_x A TensorShape
shape_y A TensorShape

A TensorShape representing the broadcasted shape.

ValueError If the two shapes can not be broadcasted.