(inputs)
| 229 | return trainer_ops.e_reduce_max_one_grad(grad,op.inputs[0],eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times")) |
| 230 | |
| 231 | def e_reduce_mean(inputs): |
| 232 | global eid,times |
| 233 | return trainer_ops.e_reduce_mean(inputs,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times) |
| 234 | @ops.RegisterGradient("EReduceMean") |
| 235 | def _e_reduce_mean_grad(op, grad): |
| 236 | with tf.name_scope("EReduceMeanGrad"), tf.xla.experimental.jit_scope(compile_ops=False): |
nothing calls this directly
no outgoing calls
no test coverage detected