(inputs,scale,offset,mean,variance,epsilon)
| 381 | |
| 382 | |
| 383 | def e_batch_norm(inputs,scale,offset,mean,variance,epsilon): |
| 384 | global eid,times |
| 385 | return trainer_ops.e_batch_norm(inputs,scale,offset,mean,variance,epsilon=epsilon,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times) |
| 386 | @ops.RegisterGradient("EBatchNorm") |
| 387 | def _e_batch_norm_grad(op, grad): |
| 388 | with tf.name_scope("EBatchNormGrad"), tf.xla.experimental.jit_scope(compile_ops=False): |
nothing calls this directly
no outgoing calls
no test coverage detected