(inputs,mu,sigma)
| 311 | return trainer_ops.e_maximum_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_maximum_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] |
| 312 | |
| 313 | def e_logprob(inputs,mu,sigma): |
| 314 | global eid,times |
| 315 | return trainer_ops.e_logprob(inputs,mu,sigma,eid_low=(eid&0xFFFFFFFF),eid_high=(eid>>32),times=times) |
| 316 | @ops.RegisterGradient("ELogprob") |
| 317 | def _e_logprob_grad(op, grad): |
| 318 | with tf.name_scope("ELogprobGrad"), tf.xla.experimental.jit_scope(compile_ops=False): |
nothing calls this directly
no outgoing calls
no test coverage detected