#include "xla/stream_executor/executor_cache.h"
#include "xla/stream_executor/platform.h"
#include "xla/stream_executor/stream_common.h"
#include "xla/stream_executor/stream_executor.h"
#include "tsl/platform/statusor.h"

namespace stream_executor {

// Plugin initialization function that a device plugin
// must define.
typedef void (*SEInitPluginFn)(SE_PlatformRegistrationParams* const,
                               TF_Status* const);

  bool ClearStats() override;

 private:
  // The stream executor of the device.
  se::StreamExecutor* stream_executor_;
};

// Helper class for managing data transfers between host and XLA devices.
class XlaDeviceContext : public DeviceContext {
 public:
  explicit XlaDeviceContext(
      std::shared_ptr<se::Stream> compute_stream,
      std::shared_ptr<se::Stream> host_to_device_stream,

#include "tensorflow/compiler/tf2xla/shape_util.h"
#include "tensorflow/compiler/tf2xla/xla_op_registry.h"
#include "xla/stream_executor/device_memory.h"
#include "xla/stream_executor/platform_manager.h"
#include "xla/stream_executor/stream.h"
#include "xla/stream_executor/stream_executor.h"
#include "tensorflow/core/framework/tensor_testutil.h"
#include "tsl/lib/core/status_test_util.h"

namespace tensorflow {
namespace {

)

cc_library(
    name = "stream_executor_hdrs",
    hdrs = ["stream_executor.h"],
    visibility = ["//tensorflow:internal"],
    deps = [
        "//tensorflow/c:c_api_macros_hdrs",
        "//tensorflow/c:tf_status_headers",
    ],
)

cc_library(
    name = "stream_executor",
    srcs = ["stream_executor.cc"],
    hdrs = ["stream_executor.h"],
    visibility = ["//tensorflow:internal"],
    deps = [

#include "tensorflow/c/experimental/stream_executor/stream_executor.h"
#include "tensorflow/c/experimental/stream_executor/stream_executor_test_util.h"

extern "C" {

void SE_InitPlugin(SE_PlatformRegistrationParams* const params,
                   TF_Status* const status) {
  stream_executor::test_util::PopulateDefaultPlatformRegistrationParams(params);
}

void TF_InitKernel() {}

#ifndef TENSORFLOW_C_EXPERIMENTAL_STREAM_EXECUTOR_STREAM_EXECUTOR_TEST_UTIL_H_
#define TENSORFLOW_C_EXPERIMENTAL_STREAM_EXECUTOR_STREAM_EXECUTOR_TEST_UTIL_H_

#include "tensorflow/c/experimental/stream_executor/stream_executor.h"

struct SP_Stream_st {
  explicit SP_Stream_st(int id) : stream_id(id) {}
  int stream_id;
};

struct SP_Event_st {
  explicit SP_Event_st(int id) : event_id(id) {}
  int event_id;
};

limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/stream_executor/stream_executor_test_util.h"

#include "tensorflow/c/experimental/stream_executor/stream_executor.h"

namespace stream_executor {
namespace test_util {

/*** Functions for creating SP_StreamExecutor ***/
void Allocate(const SP_Device* const device, uint64_t size,

#include "tensorflow/compiler/tf2xla/xla_compiler.h"
#include "xla/client/client_library.h"
#include "xla/client/compile_only_client.h"
#include "xla/stream_executor/host/host_platform_id.h"
#include "xla/stream_executor/platform_manager.h"
#include "tensorflow/core/common_runtime/graph_constructor.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/graph.pb.h"

#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "xla/layout.h"
#include "xla/mlir_hlo/mhlo/IR/hlo_ops.h"
#include "xla/shape.h"
#include "xla/stream_executor/tpu/c_api_conversions.h"
#include "xla/stream_executor/tpu/tpu_api.h"
#include "xla/translate/mhlo_to_hlo/type_to_shape.h"

namespace mlir {

static FailureOr<std::vector<int64_t>> GetTPUInfeedLayoutFromAPI(
    RankedTensorType t) {

#ifndef TENSORFLOW_COMPILER_JIT_XLA_HOST_SEND_DEVICE_CONTEXT_H_
#define TENSORFLOW_COMPILER_JIT_XLA_HOST_SEND_DEVICE_CONTEXT_H_

#include "xla/shape.h"
#include "xla/stream_executor/device_memory.h"
#include "xla/stream_executor/stream.h"
#include "tensorflow/core/framework/device_base.h"
#include "tfrt/concurrency/async_value_ref.h"  // from @tf_runtime

namespace tensorflow {