TensorFlow 1 version
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View source on GitHub
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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 | |
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shape_x
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A TensorShape
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shape_y
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A TensorShape
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Returns | |
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A TensorShape representing the broadcasted shape.
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Raises | |
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ValueError
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If the two shapes can not be broadcasted. |