tf.nn.log_softmax
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Computes log softmax activations.
tf.nn.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 .
|
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Last updated 2021-08-16 UTC.
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