#include "tensorflow/core/framework/op_def_util.h"
#include "tensorflow/core/framework/op_gen_lib.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/lib/gtl/map_util.h"
#include "tensorflow/core/lib/hash/hash.h"
#include "tensorflow/core/lib/strings/str_util.h"

  TF_CHECK_OK(InitOp());

  AddInputFromArray<float>(TensorShape({}), {1.f});
  AddInputFromArray<float>(TensorShape({}), {5.f});
  AddInputFromArray<int64_t>(TensorShape({0}), {});
  AddInputFromArray<float>(TensorShape({}), {1.f});
  AddInputFromArray<float>(TensorShape({}), {5.f});
  AddInputFromArray<int64_t>(TensorShape({8}), {1, 4, 6, 7, 3, 2, 1, 0});

  TF_CHECK_OK(RunOpKernel());
  kernel_.reset();

#include "absl/strings/str_cat.h"
#include "absl/strings/str_join.h"
#include "absl/strings/str_split.h"
#include "llvm/ADT/STLExtras.h"
#include "xla/status_macros.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/lib/core/errors.h"
#include "tensorflow/core/platform/errors.h"

#include "xla/client/client_library.h"
#include "xla/shape.h"
#include "xla/stream_executor/platform_manager.h"
#include "xla/translate/mhlo_to_hlo/type_to_shape.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/lib/monitoring/cell_reader.h"
#include "tensorflow/core/protobuf/tpu/compile_metadata.pb.h"
#include "tensorflow/core/tpu/kernels/tpu_compile_op_support.h"

#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/graph_to_functiondef.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/error_codes.pb.h"
#include "tensorflow/core/public/session_options.h"
#include "tensorflow/core/public/version.h"

namespace tensorflow {

#include <memory>

#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Abstract interface to an operation.

#include "xla/client/xla_computation.h"
#include "tensorflow/core/common_runtime/device.h"
#include "tensorflow/core/framework/graph_debug_info.pb.h"
#include "tensorflow/core/framework/tensor_shape.h"

namespace tensorflow {

// Lowers MLIR module to XLA HLO inside an XlaComputation. The input module
// should only contain operations in tf dialect. If the input module contains

  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_FLOAT
        tensor_shape {
        }
        tensor_content: "\320\314\314="
      }
    }
  }
}
node {
  name: "bn_conv1/moving_variance"
  op: "VarHandleOp"

#include "absl/container/flat_hash_set.h"
#include "absl/strings/escaping.h"
#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/lib/gtl/map_util.h"
#include "tensorflow/core/lib/io/path.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/types.h"
#include "tsl/platform/statusor.h"

#include "absl/strings/match.h"
#include "absl/strings/string_view.h"
#include "llvm/Support/TargetSelect.h"
#include "xla/cpu_function_runtime.h"
#include "xla/shape_util.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/lib/core/status.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/lib/io/path.h"