Computes softmax activations. (deprecated arguments)
tf.compat.v1.math.softmax(
logits, axis=None, name=None, dim=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).
|
dim
|
Deprecated alias for axis.
|
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.
|
View source on GitHub