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tf.compat.v1.math.log_softmax

Computes log softmax activations. (deprecated arguments)

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.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/math/log_softmax