Function _e_softmax_grad

model_demo/DeepCrossing/operators.py:266–268

(op, grad)

    return trainer_ops.e_softmax(inputs,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times)
@ops.RegisterGradient("ESoftmax")
def _e_softmax_grad(op, grad):
    with tf.name_scope("ESoftmaxGrad"), tf.xla.experimental.jit_scope(compile_ops=False):
        return trainer_ops.e_softmax_grad(grad,op.inputs[0],eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times"))

def e_softplus(inputs):
    global eid,times