Function _e_reduce_mean_zero_grad

operators.py:203–205

(op, grad)

    return trainer_ops.e_reduce_mean_zero(inputs,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times)
@ops.RegisterGradient("EReduceMeanZero")
def _e_reduce_mean_zero_grad(op, grad):
    with tf.name_scope("EReduceMeanZeroGrad"), tf.xla.experimental.jit_scope(compile_ops=False):
        return trainer_ops.e_reduce_mean_zero_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_logloss_none(pred,real,weights):
    global eid,times