(inputs)
| 199 | 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] |
| 200 | |
| 201 | def e_reduce_mean_zero(inputs): |
| 202 | global eid,times |
| 203 | return trainer_ops.e_reduce_mean_zero(inputs,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times) |
| 204 | @ops.RegisterGradient("EReduceMeanZero") |
| 205 | def _e_reduce_mean_zero_grad(op, grad): |
| 206 | with tf.name_scope("EReduceMeanZeroGrad"), tf.xla.experimental.jit_scope(compile_ops=False): |
nothing calls this directly
no outgoing calls
no test coverage detected