#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 {

#include "tensorflow/compiler/tf2xla/xla_compiler.h"
#include "tensorflow/compiler/tf2xla/xla_helpers.h"
#include "xla/client/local_client.h"
#include "xla/executable_run_options.h"
#include "xla/hlo/ir/hlo_input_output_alias_config.h"
#include "xla/pjrt/pjrt_client.h"
#include "xla/pjrt/tf_pjrt_client.h"
#include "xla/service/executable.h"
#include "xla/service/gpu/gpu_executable_run_options.h"
#include "tensorflow/core/framework/function.h"

#include "tensorflow/compiler/jit/pjrt_device_compiler_client.h"

#include <memory>
#include <string>
#include <utility>

namespace tensorflow {

xla::CompileOptions GetPjRtCompileOptions(
    const XlaCompiler::Options& options,
    const XlaCompiler::CompilationResult& result) {
  xla::CompileOptions pjrt_compile_options;
  pjrt_compile_options.argument_layouts = result.xla_input_shapes;
  pjrt_compile_options.executable_build_options =

    "@local_xla//xla:executable_run_options",
    "@local_xla//xla:status_macros",
    "@local_xla//xla:statusor",
    "@local_xla//xla/client:client_library",
    "@local_xla//xla/client:local_client",
    "@local_xla//xla/service:compiler",
    "@local_xla//xla/service/gpu:gpu_executable_run_options",
    "//tensorflow/core:core_cpu_internal",
    "//tensorflow/core:framework",
    "//tensorflow/core:lib",

    int32 count = 2;
  }

  // Describes a single XLA cluster.
  //
  // Next ID: 4
  message Cluster {
    string name = 1;

    // The number of nodes in the cluster.
    int32 size = 2;

    // A histogram of the TF operations in this cluster.
    repeated OpAndCount op_histogram = 3;
  }

  // The number of nodes in the graph that are not inside an XLA cluster.
  int32 unclustered_node_count = 1;

           "Minimum number of operators in an XLA compilation. Ignored for "
           "operators placed on an XLA device or operators explicitly marked "
           "for compilation."),
      Flag("tf_xla_max_cluster_size",
           &mark_for_compilation_flags->tf_xla_max_cluster_size,
           "Maximum number of operators in an XLA compilation."),
      Flag(
          "tf_xla_ops_to_cluster",

// xla_cluster_name: XLA cluster name for this XLA computation. We need it
//   because XLA cluster name might be different from `func_name`.
// func_name_attrs: they will be used to instantiate the XLA computation func.
// new_func_name: new function name for rewritten XLA computation func.
// host_compute_core: mapping from outside compilation cluster name to XLA
//   device assignment.
// fld: FunctionLibraryDefinition object.

        "@local_xla//xla:xla_data_proto_cc",
        "@local_xla//xla/client:client_library",
        "@local_xla//xla/client:compile_only_client",
        "@local_xla//xla/client:xla_computation",
        "@local_xla//xla/service:compiler",
        "@local_xla//xla/service/cpu:buffer_info_util",
        "@local_xla//xla/service/cpu:cpu_compiler",
        "@local_xla//xla/stream_executor:platform_manager",
    ],
)

tf_cc_test(

        "@local_tsl//tsl/platform:protobuf",
        "@local_xla//xla/client:client_library",
        "@local_xla//xla/client:compile_only_client",
        "@local_xla//xla/service/cpu:cpu_compiler",
        "@local_xla//xla/service/cpu:cpu_transfer_manager",
        "@local_xla//xla/stream_executor",
        "@local_xla//xla/stream_executor/host:host_platform",
        "@local_xla//xla/stream_executor/host:host_platform_id",
    ],

#include "tensorflow/compiler/jit/variable_info.h"
#include "tensorflow/compiler/jit/xla_tensor.h"
#include "tensorflow/compiler/tf2xla/xla_compiler.h"
#include "xla/client/local_client.h"
#include "xla/pjrt/pjrt_client.h"
#include "xla/service/shaped_buffer.h"
#include "xla/stream_executor/device_memory_allocator.h"
#include "tensorflow/core/framework/allocation_description.pb.h"
#include "tensorflow/core/framework/tensor.h"