broadcast_to¶

dragon.vm.tensorflow.broadcast_to(
  input,
  shape,
  name=None
)[source]¶

Broadcast input according to a given shape.

The length of shape could either be less or more than the number of input dimensions:

a = tf.constant([[1], [2], [3]])
# Shape: (3, 1) -> (3, 2)
print(tf.broadcast_to(a, shape=(3, 2)))
print(tf.broadcast_to(a, shape=(2,)))     # Equivalent
print(tf.broadcast_to(a, shape=(-1, 2)))  # Equivalent

# Shape: (3,) -> (1, 3) -> (2, 3)
b = tf.constant([1, 2, 3])
print(tf.broadcast_to(b, shape=(2, 3)))

# Wrong remapping shape: (3,) -> (6,)
# Only the dimension with size 1 could broadcast
print(tf.broadcast_to(b, shape=(6,)))

Parameters:

• input (dragon.Tensor) – The input tensor.
• shape (Sequence[Union[int, dragon.Tensor]]) – The output shape to broadcast to.
• name (str, optional) – A optional name for the operation.

Returns:

dragon.Tensor – The output tensor.