tf.compat.v2.math.softmax

Computes softmax activations.

View aliases

Compat aliases for migration

See Migration guide for more details.

`tf.compat.v2.nn.softmax`

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

This function performs the equivalent of

softmax = tf.exp(logits) / tf.reduce_sum(tf.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 and shape as logits.

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