/TensorFlow 2.4


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.

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


shape_x = (1, 2, 3)
shape_y = (5, 1, 3)
tf.broadcast_dynamic_shape(shape_x, shape_y)
<tf.Tensor: shape=(3,), dtype=int32, numpy=array([5, 2, 3], ...>
shape_x A rank 1 integer Tensor, representing the shape of x.
shape_y A rank 1 integer Tensor, representing the shape of y.
A rank 1 integer Tensor representing the broadcasted shape.
InvalidArgumentError If the two shapes are incompatible for broadcasting.

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