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tf.broadcast_dynamic_shape

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Computes the shape of a broadcast given symbolic shapes.

When shape_x and shape_y are Tensors representing shapes (i.e. the result of calling tf.shape on another Tensor) this computes a Tensor 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 Tensor whose value is [5, 2, 3].

This is useful when validating the result of a broadcasting operation when the tensors do not have statically known shapes.

Args
shape_x A rank 1 integer Tensor, representing the shape of x.
shape_y A rank 1 integer Tensor, representing the shape of y.
Returns
A rank 1 integer Tensor representing the broadcasted shape.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/broadcast_dynamic_shape