tf.keras.ops.tensordot

Compute the tensor dot product along specified axes.

Main aliases

tf.keras.ops.numpy.tensordot

tf.keras.ops.tensordot(
    x1, x2, axes=2
)

Args
`x1`	First tensor.
`x2`	Second tensor.
`axes`	If an integer, N, sum over the last N axes of `x1` and the first N axes of `x2` in order. The sizes of the corresponding axes must match. Or, a list of axes to be summed over, first sequence applying to `x1`, second to `x2`. Both sequences must be of the same length.

Args

x1 First tensor.

x2 Second tensor.

axes

If an integer, N, sum over the last N axes of x1 and the first N axes of x2 in order. The sizes of the corresponding axes must match.
Or, a list of axes to be summed over, first sequence applying to x1, second to x2. Both sequences must be of the same length.

Returns
The tensor dot product of the inputs.

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 2024-06-07 UTC.