tf.raw_ops.LogSoftmax
Computes log softmax activations.
tf.raw_ops.LogSoftmax( logits, name=None )
For each batch i
and class j
we have
logsoftmax[i, j] = logits[i, j] - log(sum(exp(logits[i])))
Args | |
---|---|
logits | A Tensor . Must be one of the following types: half , bfloat16 , float32 , float64 . 2-D with shape [batch_size, num_classes] . |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as logits . |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/LogSoftmax