Computes the shape of a broadcast given known shapes.

# Aliases:

• tf.compat.v1.broadcast_static_shape
• tf.compat.v2.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 [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.