tf.nn.log_softmax

TensorFlow 2 version View source on GitHub

Computes log softmax activations. (deprecated arguments)

Main aliases

tf.math.log_softmax

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.math.log_softmax, tf.compat.v1.nn.log_softmax

 
tf.nn.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))

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.

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

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