message: EagerTensor.device reflects the op's device and not the tensor's memory space.
  This matches graph mode's behavior.
diff: @@ -180,12 +180,10 @@ int64_t TFE_TensorHandleDim(TFE_TensorHandle* h, int dim_index,
  }
  const char* TFE_TensorHandleDeviceName(TFE_TensorHandle* h, TF_Status* status) {
  - // TODO(apassos) this will be potentially incorrect in the distributed case as
  - // our local device will have a name which depends on the ClusterSpec and
  - // hence will require the context to resolve.
  status->status = tensorflow::Status::OK();
  - return (h->d == nullptr) ? "/job:localhost/replica:0/task:0/device:CPU:0"
  - : h->d->name().c_str();
  + return (h->op_device == nullptr)
  + ? "/job:localhost/replica:0/task:0/device:CPU:0"
  + : h->op_device->name().c_str();
  }
  TF_Tensor* TFE_TensorHandleResolve(TFE_TensorHandle* h, TF_Status* status) {
  