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+/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include "tensorflow/compiler/jit/xla_device_ops.h"
+
+#include "tensorflow/compiler/jit/xla_device_context.h"
+
+namespace tensorflow {
+
+void XlaDeviceAssignOp::Copy(OpKernelContext* context, Tensor* lhs,
+ const Tensor& rhs) {
+ std::shared_ptr<xla::GlobalData> gd =
+ XlaTransferManager::GetTensorGlobalData(rhs);
+ XlaTransferManager::SetTensorGlobalData(std::move(gd), lhs);
+}
+
+XlaDeviceDummyOp::XlaDeviceDummyOp(OpKernelConstruction* ctx) : OpKernel(ctx) {}
+
+void XlaDeviceDummyOp::Compute(OpKernelContext* ctx) {
+ LOG(FATAL) << "Attempted to execute Op " << name() << "type " << type_string()
+ << " on an XLA device. This should never happen.";
+}
+
+} // namespace tensorflow