(inputs)
| 221 | return trainer_ops.e_square_grad(grad,op.inputs[0],eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times")) |
| 222 | |
| 223 | def e_reduce_max_one(inputs): |
| 224 | global eid,times |
| 225 | return trainer_ops.e_reduce_max_one(inputs,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times) |
| 226 | @ops.RegisterGradient("EReduceMaxOne") |
| 227 | def _e_reduce_max_one_grad(op, grad): |
| 228 | with tf.name_scope("EReduceMaxOneGrad"), tf.xla.experimental.jit_scope(compile_ops=False): |
nothing calls this directly
no outgoing calls
no test coverage detected