tf.nn.log_softmax
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. |