tf.broadcast_to

Defined in generated file: python/ops/gen_array_ops.py

金坛期货配资Broadcast an array for a compatible shape.

Aliases:

  • tf.compat.v1.broadcast_to
  • tf.compat.v2.broadcast_to
tf.broadcast_to(
    input,
    shape,
    name=None
)

Broadcasting is the process of making arrays to have compatible shapes for arithmetic operations. Two shapes are compatible if for each dimension pair they are either equal or one of them is one. When trying to broadcast a Tensor to a shape, it starts with the trailing dimensions, and works its way forward.

金坛期货配资For example,

>>> x = tf.constant([1, 2, 3])
>>> y = tf.broadcast_to(x, [3, 3])
>>> sess.run(y)
array([[1, 2, 3],
       [1, 2, 3],
       [1, 2, 3]], dtype=int32)

In the above example, the input Tensor with the shape of [1, 3] is broadcasted to output Tensor with shape of [3, 3].

Args:

  • input: A Tensor. A Tensor to broadcast.
  • shape: A Tensor. Must be one of the following types: int32, int64. An 1-D int Tensor. The shape of the desired output.
  • name: A name for the operation (optional).

Returns:

A Tensor. Has the same type as input.

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