Function _e_leakyrelu_grad

operators.py:338–340

(op, grad)

    return trainer_ops.e_leakyrelu(inputs,alpha=alpha,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times)
@ops.RegisterGradient("ELeakyrelu")
def _e_leakyrelu_grad(op, grad):
    with tf.name_scope("ELeakyreluGrad"), tf.xla.experimental.jit_scope(compile_ops=False):
        return trainer_ops.e_leakyrelu_grad(grad,op.inputs[0],alpha = op.get_attr("alpha"),eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times"))

def e_huber_loss(pred,real,delta):
    global eid,times