Function _e_clip_grad

operators.py:376–378

(op, grad)

    return trainer_ops.e_clip(inputs,down,up,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times)
@ops.RegisterGradient("EClip")
def _e_clip_grad(op, grad):
    with tf.name_scope("EClipGrad"), tf.xla.experimental.jit_scope(compile_ops=False):
        return trainer_ops.e_clip_grad(grad,op.inputs[0],op.inputs[1],op.inputs[2],eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times")),None,None


def e_batch_norm(inputs,scale,offset,mean,variance,epsilon):