tf.broadcast_static_shape
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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 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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Last updated 2024-04-26 UTC.
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