tf.broadcast_static

TensorFlow 1 version

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Computes the shape of a broadcast given known shapes.

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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])

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.

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tf / broadcast_static_shape

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Example:

Args

Returns

Raises