tf.compat.v1.math.log_softmax
bookmark_border Stay organized with collections Save and categorize content based on your preferences.

Computes log softmax activations. (deprecated arguments)

Compat aliases for migration

tf.compat.v1.nn.log_softmax

tf.compat.v1.math.log_softmax(
    logits, axis=None, name=None, dim=None
)

For each batch i and class j we have

logsoftmax = logits - log(reduce_sum(exp(logits), axis))

Args
`logits`	A non-empty `Tensor`. Must be one of the following types: `half`, `float32`, `float64`.
`axis`	The dimension softmax would be performed on. The default is -1 which indicates the last dimension.
`name`	A name for the operation (optional).
`dim`	Deprecated alias for `axis`.

Returns
A `Tensor`. Has the same type as `logits`. Same shape as `logits`.

Raises
`InvalidArgumentError`	if `logits` is empty or `axis` is beyond the last dimension of `logits`.

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 2021-02-18 UTC.

tf.compat.v1.math.log_softmax bookmark_borderbookmark Stay organized with collections Save and categorize content based on your preferences.