public static Tensor softmax(Tensor logits, string name = null)
{
if (tf.context.executing_eagerly())
{
var results = EagerTensorPass.Create();
var inputs = EagerTensorPass.From(logits);
Status status = c_api.TFE_FastPathExecute(tf.context, tf.context.device_name,
"Softmax", name,
inputs.Points, inputs.Length,
null, null,
results.Points, results.Length);
status.Check(true);
return(results[0].Resolve());
}
var _op = _op_def_lib._apply_op_helper("Softmax", name: name, args: new
{
logits
});
return(_op.outputs[0]);
}
public Tensor gradient(Tensor target, Tensor source)
{
if (_recording)
{
if (!_persistent)
{
_pop_tape();
}
}
var results = EagerTensorPass.Create();
var targets = EagerTensorPass.From(target);
var sources = EagerTensorPass.From(source);
Status status = c_api.TFE_TapeGradient(_tape,
targets.Points, targets.Length,
sources.Points, sources.Length,
results.Points, results.Length);
status.Check(true);
return(results[0].Resolve());
}
