#ifndef TENSORFLOW_C_C_OP_REQUIRES_H_
#define TENSORFLOW_C_C_OP_REQUIRES_H_

#include "tensorflow/core/platform/macros.h"

namespace tensorflow {

// Convenience macros for asserting and handling exceptional conditions, for
// C structs, including `TF_OpKernelContext`, `TF_Status`, etc. This is analogus
// to the macros in tensorflow/core/framework/op_requires.h. This is provided
// for plugin OpKernel developer's convenience.

#include <string>

#include "absl/base/attributes.h"
#include "llvm/ADT/StringRef.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "tensorflow/core/lib/core/status.h"

namespace mlir {
namespace TF {

inline constexpr char kStandardPipelineBefore[] = "standard_pipeline_before";
inline constexpr char kStandardPipelineAfter[] = "standard_pipeline_after";

#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/tstring.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

// Return a tensor handle containing a float scalar
TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, float value);

#include "mlir/IR/Location.h"  // from @llvm-project
#include "mlir/IR/Operation.h"  // from @llvm-project
#include "mlir/IR/Types.h"  // from @llvm-project
#include "tensorflow/core/ir/types/dialect.h"
#include "tensorflow/core/util/device_name_utils.h"

namespace mlir {
namespace TF {

using GpuDeviceMetadata = tf_type::GpuDeviceMetadataAttr;

#include "tensorflow/c/experimental/ops/gen/cpp/renderers/renderer.h"
#include "tensorflow/c/experimental/ops/gen/cpp/renderers/renderer_context.h"
#include "tensorflow/c/experimental/ops/gen/cpp/views/op_view.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {
namespace generator {
namespace cpp {

class OpRenderer : public Renderer {
 public:
  explicit OpRenderer(RendererContext context, OpView op);
  void Render();

#ifndef TENSORFLOW_C_TF_TSTRING_H_
#define TENSORFLOW_C_TF_TSTRING_H_

#include "tensorflow/c/c_api_macros.h"
#include "tensorflow/c/tf_tensor.h"
#include "tensorflow/core/platform/ctstring.h"

#ifdef __cplusplus
extern "C" {
#endif

TF_CAPI_EXPORT extern void TF_StringInit(TF_TString *t);

TF_CAPI_EXPORT extern void TF_StringCopy(TF_TString *dst, const char *src,

#ifndef TENSORFLOW_CC_SAVED_MODEL_FINGERPRINTING_H_
#define TENSORFLOW_CC_SAVED_MODEL_FINGERPRINTING_H_

#include <string>

#include "absl/status/statusor.h"
#include "absl/strings/string_view.h"
#include "tensorflow/core/protobuf/fingerprint.pb.h"

namespace tensorflow::saved_model::fingerprinting {

// Creates a FingerprintDef proto from a SavedModel (regular or chunked) and the
// checkpoint meta file (.index) in `export_dir`.

#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "mlir/Support/LLVM.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "tensorflow/core/protobuf/meta_graph.pb.h"

namespace mlir::quant {

// Converts arguments of the @main function that are bound to
// `tf_saved_model::AssetOp`s into regular tensor args. Returns `AsestFileDef`s

#include "llvm/ADT/ArrayRef.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"  // from @llvm-project
#include "mlir/IR/BuiltinOps.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/core/public/session.h"

namespace mlir {
namespace tf_saved_model {

// Returns the variable for the provided 'var_handle_op'.
std::string GetVariableName(TF::VarHandleOp var_handle_op);

#define TENSORFLOW_COMPILER_JIT_MARK_FOR_COMPILATION_PASS_H_

#include "absl/container/flat_hash_set.h"
#include "tensorflow/compiler/jit/compilability_check_util.h"
#include "tensorflow/core/common_runtime/optimization_registry.h"

namespace tensorflow {

// The attribute that marks nodes to be grouped into functions by the
// encapsulate subgraphs pass.
extern const char* const kXlaClusterAttr;