Function _e_div_grad

model_demo/DeepCrossing/operators.py:197–199

(op, grad)

    return trainer_ops.e_div(input1,input2,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times)
@ops.RegisterGradient("EDiv")
def _e_div_grad(op, grad):
    with tf.name_scope("EDivGrad"), tf.xla.experimental.jit_scope(compile_ops=False):
        return trainer_ops.e_div_grad(grad,op.inputs[0],op.inputs[1],eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times"))[0],trainer_ops.e_div_grad(grad,op.inputs[0],op.inputs[1],eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times"))[1]

def e_reduce_mean_zero(inputs):
    global eid,times