(input1,input2)
| 303 | return trainer_ops.e_minimum_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_minimum_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] |
| 304 | |
| 305 | def e_maximum(input1,input2): |
| 306 | global eid,times |
| 307 | return trainer_ops.e_maximum(input1,input2,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times) |
| 308 | @ops.RegisterGradient("EMaximum") |
| 309 | def _e_maximum_grad(op, grad): |
| 310 | with tf.name_scope("EMaximumGrad"), tf.xla.experimental.jit_scope(compile_ops=False): |
nothing calls this directly
no outgoing calls
no test coverage detected