(input1,input2)
| 297 | return trainer_ops.e_moments_grad(grad1,grad2,op.inputs[0],eid_low=op.get_attr("eid_low"), eid_high=op.get_attr("eid_high"),times = op.get_attr("times")) |
| 298 | |
| 299 | def e_minimum(input1,input2): |
| 300 | global eid,times |
| 301 | return trainer_ops.e_minimum(input1,input2,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times) |
| 302 | @ops.RegisterGradient("EMinimum") |
| 303 | def _e_maximum_grad(op, grad): |
| 304 | with tf.name_scope("EMinimumGrad"), tf.xla.experimental.jit_scope(compile_ops=False): |
nothing calls this directly
no outgoing calls
no test coverage detected