params->device_type = "Device1";
  };

  TF_ASSERT_OK(InitGraphPlugin(plugin_init_0));
  TF_ASSERT_OK(InitGraphPlugin(plugin_init_1));
  ASSERT_EQ(PluginGraphOptimizerRegistry::CreateOptimizers(
                std::set<string>{"Device0", "Device1"})
                .size(),
            2);
}

TEST(Grappler, DeviceTypeNotSet) {
  auto plugin_init = [](TP_OptimizerRegistrationParams* const params,

  ParseGCSPath("gs://bucket/", false, &bucket, &object, status_);
  ASSERT_EQ(TF_GetCode(status_), TF_INVALID_ARGUMENT);
}

TEST_F(GCSFilesystemTest, RandomAccessFile) {
  tf_gcs_filesystem::Init(filesystem_, status_);
  ASSERT_TF_OK(status_) << "Could not initialize filesystem. "
                        << TF_Message(status_);
  std::string filepath = GetURIForPath("a_file");

  ops->filesystem_ops = static_cast<TF_FilesystemOps*>(
      plugin_memory_allocate(TF_FILESYSTEM_OPS_SIZE));
  ops->filesystem_ops->init = tf_posix_filesystem::Init;
  ops->filesystem_ops->cleanup = tf_posix_filesystem::Cleanup;
  ops->filesystem_ops->new_random_access_file =
      tf_posix_filesystem::NewRandomAccessFile;

#include "tensorflow/core/common_runtime/eager/context.h"
#include "tensorflow/core/common_runtime/eager/eager_operation.h"
#include "tensorflow/core/common_runtime/pluggable_device/pluggable_device_plugin_init.h"
#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/framework/collective.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/shape_inference.h"

  }
}

TEST_F(CApiAttributesTest, EmptyList) {
  auto desc = init("list(int)");
  TF_SetAttrIntList(desc, "v", nullptr, 0);
  auto oper = TF_FinishOperation(desc, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  EXPECT_TF_META("v", 0, TF_ATTR_INT, -1);
}

TEST_F(CApiAttributesTest, Names) {
  auto desc = init("string");
  TF_SetAttrString(desc, "v", "bunny", 5);

  // Create two contexts.
  int32_t init_timeout_in_ms = 300000;
  TFE_Context* ctx_0 =
      CreateContext(serialized_server_def_0,
                    /*isolate_session_state=*/false, init_timeout_in_ms);
  TFE_Context* ctx_1 =
      CreateContext(serialized_server_def_1,
                    /*isolate_session_state=*/false, init_timeout_in_ms);

  // Remote device on `worker2`.

                                     /*isolate_session_state=*/false,
                                     /*init_timeout_in_ms=*/0);
  TFE_Context* ctx_1 = CreateContext(serialized_server_def_1,
                                     /*isolate_session_state=*/false,
                                     /*init_timeout_in_ms=*/0);

  // Remote device on `worker1`.

  TF_RETURN_IF_ERROR(
      env->GetSymbolFromLibrary(dso_handle, "TF_InitGraph", &dso_symbol));

  // Step 2: Call `TF_InitPlugin`
  auto init_fn = reinterpret_cast<TFInitGraphPluginFn>(dso_symbol);
  return InitGraphPlugin(init_fn);
}

absl::Status InitGraphPlugin(TFInitGraphPluginFn init_fn) {
  TP_OptimizerRegistrationParams params{
      TP_OPTIMIZER_REGISTRATION_PARAMS_STRUCT_SIZE};

  return ::tensorflow::Env::Default()->NowNanos();
}

// Returns the number of microseconds since the Unix epoch.
TF_CAPI_EXPORT extern uint64_t TF_NowMicros(void) {
  return ::tensorflow::Env::Default()->NowMicros();
}

// Returns the number of seconds since the Unix epoch.
TF_CAPI_EXPORT extern uint64_t TF_NowSeconds(void) {
  return ::tensorflow::Env::Default()->NowSeconds();
}

          return absl::OkStatus();
        case 64:
          *tf_dtype = TF_DataType::TF_UINT64;
          return absl::OkStatus();
        default:
          return tensorflow::errors::InvalidArgument("Unsupported UInt bits: ",
                                                     dtype.bits);
      }
      return absl::OkStatus();
    case DLDataTypeCode::kDLInt:
      switch (dtype.bits) {
        case 8: