tf.compat.v2.math.log_softmax

Computes log softmax activations.

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Compat aliases for migration

See Migration guide for more details.

`tf.compat.v2.nn.log_softmax`

tf.compat.v2.math.log_softmax(
    logits, axis=None, name=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).

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.