TensorFlow 2 version
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View source on GitHub
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Computes the shape of a broadcast given symbolic shapes.
tf.broadcast_dynamic_shape(
shape_x, shape_y
)
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 | |
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shape_x
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A rank 1 integer Tensor, representing the shape of x.
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shape_y
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A rank 1 integer Tensor, representing the shape of y.
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Returns | |
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A rank 1 integer Tensor representing the broadcasted shape.
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