namespace tracing {

Status MaybeSetOpName(AbstractOperation* op, const char* op_name) {
  if (isa<TracingOperation>(op)) {
    TF_RETURN_IF_ERROR(dyn_cast<TracingOperation>(op)->SetOpName(op_name));
  }
  if (isa<gradients::TapeOperation>(op)) {
    TF_RETURN_IF_ERROR(MaybeSetOpName(
        dyn_cast<gradients::TapeOperation>(op)->GetBackingOperation(),
        op_name));
  }
  return absl::OkStatus();
}
}  // namespace tracing

GradientFunction* ReluRegisterer(const ForwardOperation& op) {
  return new ReluGradientFunction(op.outputs);
}

GradientFunction* SparseSoftmaxCrossEntropyWithLogitsRegisterer(
    const ForwardOperation& op) {
  return new SparseSoftmaxCrossEntropyWithLogitsGradientFunction(op.outputs);
}

GradientFunction* BiasAddRegisterer(const ForwardOperation& op) {
  return new BiasAddGradientFunction(op.attrs);
}

}  // namespace gradients

	tierPut
	tierDelete
)

func (op tierOp) String() string {
	switch op {
	case tierGet:
		return "GET"
	case tierPut:
		return "PUT"
	case tierDelete:
		return "DELETE"
	}
	return "UNKNOWN"
}

type tierPermErr struct {
	Op  tierOp
	Err error
}

func (te tierPermErr) Error() string {
	return fmt.Sprintf("failed to perform %s: %v", te.Op, te.Err)
}

    }

    AbstractOperationPtr fn_op(ctx->CreateOperation());
    TF_RETURN_IF_ERROR(fn_op->Reset(fn_name, /*raw_device_name=*/nullptr));
    for (auto input : inputs) {
      TF_RETURN_IF_ERROR(fn_op->AddInput(input));
    }
    int retvals = outputs.size() - null_indices.size();
    std::vector<AbstractTensorHandle*> fn_outputs(retvals);
    TF_RETURN_IF_ERROR(fn_op->Execute(

func (m *muxServer) disconnect(msg string) {
	if debugPrint {
		fmt.Println("Mux", m.ID, "disconnecting. Reason:", msg)
	}
	if msg != "" {
		m.send(message{Op: OpMuxServerMsg, MuxID: m.ID, Flags: FlagPayloadIsErr | FlagEOF, Payload: []byte(msg)})
	} else {
		m.send(message{Op: OpDisconnectClientMux, MuxID: m.ID})
	}
	m.parent.deleteMux(true, m.ID)
}

func (m *muxServer) send(msg message) {
	m.sendMu.Lock()

type mrfState struct {
	opCh chan partialOperation
}

// Add a partial S3 operation (put/delete) when one or more disks are offline.
func (m *mrfState) addPartialOp(op partialOperation) {
	if m == nil {
		return
	}

	select {
	case m.opCh <- op:
	default:
	}
}

var healSleeper = newDynamicSleeper(5, time.Second, false)

// healRoutine listens to new disks reconnection events and

		var message message
		_, _, err = message.parse(msg)
		if err != nil {
			writeErr(fmt.Errorf("error parsing grid connect: %w", err))
			return
		}
		if message.Op != OpConnect {
			writeErr(fmt.Errorf("unexpected connect op: %v", message.Op))
			return
		}
		var cReq connectReq
		_, err = cReq.UnmarshalMsg(message.Payload)
		if err != nil {
			writeErr(fmt.Errorf("error parsing connectReq: %w", err))

      }
      grad_inputs[i] = grad_input;
    }
    return absl::OkStatus();
  }
  ~IdentityNGradientFunction() override {}
};
}  // namespace

GradientFunction* IdentityNRegisterer(const ForwardOperation& op) {
  return new IdentityNGradientFunction;
}

}  // namespace gradients

            // Otherwise, i.e., if we won't skip type with no type arguments, flag overriding might bother a case like:
            // @JvmSuppressWildcards(false) Long -> java.lang.Long, not long, even though it should be no-op!
            if (type.fe10Type.arguments.isEmpty())
                typeMappingMode
            else
                typeMappingMode.updateArgumentModeFromAnnotations(
                    type.fe10Type,

                                   absl::Span<AbstractTensorHandle* const>,
                                   absl::Span<AbstractTensorHandle*>)>;

// Runs `model` maybe wrapped in a function call op. This can be thought as
// being equivalent to the following python code.
//
// if use_function:
//   outputs = tf.function(model)(inputs)
// else:
//   outputs = model(inputs)