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/TensorFlow 1.15

tf.compat.v2.math.softmax

Computes softmax activations.

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.

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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/r1.15/api_docs/python/tf/compat/v2/math/softmax