tf.math.scalar_mul

Multiplies a scalar times a Tensor or IndexedSlices object.

View aliases

Main aliases

tf.scalar_mul

tf.math.scalar_mul(
    scalar, x, name=None
)

This is a special case of tf.math.multiply, where the first value must be a scalar. Unlike the general form of tf.math.multiply, this is operation is guaranteed to be efficient for tf.IndexedSlices.

x = tf.reshape(tf.range(30, dtype=tf.float32), [10, 3])
with tf.GradientTape() as g:
  g.watch(x)
  y = tf.gather(x, [1, 2])  # IndexedSlices
  z = tf.math.scalar_mul(10.0, y)

Args
`scalar`	A 0-D scalar `Tensor`. Must have known shape.
`x`	A `Tensor` or `IndexedSlices` to be scaled.
`name`	A name for the operation (optional).

Returns
`scalar * x` of the same type (`Tensor` or `IndexedSlices`) as `x`.

Raises
`ValueError`	if scalar is not a 0-D `scalar`.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2024-04-26 UTC.

tf.math.scalar_mul

View aliases

Args

Returns

Raises