1 files changed, 60 insertions, 0 deletions
diff --git a/tensorflow/compiler/jit/xla_cpu_device.cc b/tensorflow/compiler/jit/xla_cpu_device.cc
new file mode 100644
index 0000000000..92784a5358
--- /dev/null
+++ b/tensorflow/compiler/jit/xla_cpu_device.cc
@@ -0,0 +1,60 @@
+/* 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.
+==============================================================================*/
+
+// Registers the XLA_CPU device, which is an XlaDevice instantiation that runs
+// operators using XLA via the XLA "Host" (CPU) backend.
+
+#include "tensorflow/compiler/jit/xla_device.h"
+#include "tensorflow/compiler/jit/xla_device_ops.h"
+#include "tensorflow/compiler/tf2xla/xla_compilation_device.h"
+#include "tensorflow/core/common_runtime/device_factory.h"
+#include "tensorflow/core/lib/core/status.h"
+
+namespace tensorflow {
+
+const char* const DEVICE_XLA_CPU = "XLA_CPU";
+
+class XlaCpuDeviceFactory : public DeviceFactory {
+ public:
+  Status CreateDevices(const SessionOptions& options, const string& name_prefix,
+                       std::vector<Device*>* devices) override;
+};
+
+Status XlaCpuDeviceFactory::CreateDevices(const SessionOptions& options,
+                                          const string& name_prefix,
+                                          std::vector<Device*>* devices) {
+  static XlaDeviceOpRegistrations* registrations =
+      RegisterXlaDeviceKernels(DEVICE_XLA_CPU, DEVICE_CPU_XLA_JIT);
+  (void)registrations;
+
+  std::unique_ptr<XlaDevice> device;
+  TF_RETURN_IF_ERROR(XlaDevice::Create("Host", DEVICE_XLA_CPU, 0,
+                                       DEVICE_CPU_XLA_JIT, options, name_prefix,
+                                       &device));
+  devices->push_back(device.release());
+  return Status::OK();
+}
+
+REGISTER_LOCAL_DEVICE_FACTORY(DEVICE_XLA_CPU, XlaCpuDeviceFactory);
+
+// Kernel registrations
+
+constexpr std::array<DataType, 5> kAllXlaCpuTypes = {
+    {DT_INT32, DT_INT64, DT_FLOAT, DT_DOUBLE, DT_BOOL}};
+
+REGISTER_XLA_LAUNCH_KERNEL(DEVICE_XLA_CPU, XlaDeviceLaunchOp, kAllXlaCpuTypes);
+REGISTER_XLA_DEVICE_KERNELS(DEVICE_XLA_CPU, kAllXlaCpuTypes);
+
+}  // namespace tensorflow