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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 [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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/broadcast_static_shape