}

  DeviceSetup device_setup_;
};

TEST_F(XlaCompilerOptionsTest, PjRtOptionsXlaDevice) {
  device_setup_.AddDevicesAndSetUp({DEVICE_XLA_GPU});
  Device* device = device_setup_.GetDevice(DEVICE_XLA_GPU);
  DeviceType compilation_device_type = DeviceType(DEVICE_GPU_XLA_JIT);

  se::Platform::Id platform_id = nullptr;
  auto xla_device_metadata = CreateXlaDeviceMetadata(compilation_device_type);

TEST(PjrtCompileUtilTest, CompileToPjRtLoadedExecutable) {
  DeviceSetup device_setup;
  TF_ASSERT_OK_AND_ASSIGN(auto fdef, SampleFuntionAddXY("foo"));
  device_setup.AddDevicesAndSetUp({DEVICE_GPU}, fdef);

  Device* device = device_setup.GetDevice(DEVICE_GPU);
  const XlaPlatformInfo platform_info = XlaPlatformInfoFromDevice(device);

  NameAttrList function;
  function.set_name("foo");

  ResourceMgr resource_mgr("");

        return WalkResult::advance();
      } else if (device_str_attr.getValue() != launch.getDevice()) {
        return launch.emitOpError()
               << "inner op has conflicting 'device' attribute, "
                  "got '"
               << device_str_attr.getValue() << "' but expected '"
               << launch.getDevice() << "'";
      }
    } else {
      return launch.emitOpError()

type CustomBlockVolumeMapper interface {
	BlockVolumeMapper
	// SetUpDevice prepares the volume to the node by the plugin specific way.
	// For most in-tree plugins, attacher.Attach() and attacher.WaitForAttach()
	// will do necessary works.
	// This may be called more than once, so implementations must be idempotent.
	// SetUpDevice returns stagingPath if device setup was successful
	SetUpDevice() (stagingPath string, err error)

                          SP_DEVICE_MEMORY_BASE_STRUCT_SIZE);
  // All other fields could theoretically be zero/null.
  return absl::OkStatus();
}

absl::Status ValidateSPDevice(const SP_Device& device) {
  TF_VALIDATE_STRUCT_SIZE(SP_Device, device, SP_DEVICE_STRUCT_SIZE);
  // All other fields could theoretically be zero/null.
  return absl::OkStatus();
}

absl::Status ValidateSPDeviceFns(const SP_DeviceFns& device_fns) {

  // Ensure that users of the launch op's results appear after the launch op
  // in order to preserve the dominance property.
  TF::ReorderOpResultUses(launch_op);
}

std::string GetDevice(Operation* op) {
  auto device_attr = op->getAttrOfType<StringAttr>("device");
  return device_attr ? device_attr.getValue().str() : "";
}

bool CanBeIgnoredInCluster(Operation* op) {

// registered on 'jit_device'. Returns ownership of a XlaDeviceOpRegistrations
// object that encapsulates the kernel registrations.
struct XlaDeviceOpRegistrations {
  std::vector<std::unique_ptr<kernel_factory::OpKernelRegistrar>>
      op_kernel_registrars;
};

XlaDeviceOpRegistrations* RegisterXlaDeviceKernels(
    const char* device, const char* jit_device,

namespace tensorflow {
namespace {

TEST(PjRtTensorBufferUtilTest, MakeTensorFromPjRtBuffer) {
  DeviceSetup device_setup;
  device_setup.AddDevicesAndSetUp({DEVICE_GPU});
  Device* device = device_setup.GetDevice(DEVICE_GPU);
  std::vector<int64_t> dimensions = {2, 3};
  Tensor dest_cpu_tensor(cpu_allocator(), tensorflow::DT_INT32,
                         tensorflow::TensorShape(dimensions));

  OwningOpRef<ModuleOp> mlir_module;
  auto status =
      tensorflow::DeserializeMlirModule(string, context, &mlir_module);
  if (!status.ok()) {
    return status;
  }
  return mlir_module;
}

std::string GetDevice(Operation* op) {
  auto device_attr = op->getAttrOfType<StringAttr>("device");
  return device_attr ? device_attr.getValue().str() : "";
}

bool CanBeIgnoredInCluster(Operation* op) {

XlaDeviceOpRegistrations* RegisterXlaDeviceKernels(
    const char* device, const char* jit_device,
    OpKernel* (*factory)(OpKernelConstruction*),
    StringPiece kernel_class_name) {
  XlaOpRegistry::RegisterCompilationKernels();
  XlaDeviceOpRegistrations* registrations = new XlaDeviceOpRegistrations;
  for (const KernelDef* jit_def : XlaOpRegistry::DeviceKernels(
           jit_device,
           /*include_compilation_only_kernels=*/false)) {