// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

// Do not include this file directly. Please include "onnxruntime_cxx_api.h" instead.
// If interested in trying out features of the new experimental C++ API, include "experimental_onnxruntime_cxx_api.h" instead.
//
// These are the inline implementations of the C++ header APIs. They're in this separate file as to not clutter
// the main C++ file with implementation details.

#include <algorithm>
#include <functional>
#include <iterator>
#include <type_traits>

// Convert OrtStatus to Ort::Status and return
// instead of throwing
#define ORT_CXX_RETURN_ON_API_FAIL(expression) \
  {                                            \
    auto ort_status = (expression);            \
    if (ort_status) {                          \
      return Ort::Status(ort_status);          \
    }                                          \
  }

#ifdef __cpp_if_constexpr
#define ORT_CXX_IF_CONSTEXPR if constexpr
#else
#define ORT_CXX_IF_CONSTEXPR if
#endif

namespace Ort {

namespace detail {
inline void ThrowStatus(const Status& st) {
  std::string error_message = st.GetErrorMessage();
  OrtErrorCode error_code = st.GetErrorCode();
  ORT_CXX_API_THROW(std::move(error_message), error_code);
}
}  // namespace detail

inline void ThrowOnError(OrtStatus* ort_status) {
  if (ort_status) {
    Ort::Status st(ort_status);
    detail::ThrowStatus(st);
  }
}

inline void ThrowOnError(const Status& st) {
  if (st) {
    detail::ThrowStatus(st);
  }
}

inline Status::Status(OrtStatus* status) noexcept : Base<OrtStatus>{status} {
}

inline Status::Status(const std::exception& e) noexcept {
  p_ = GetApi().CreateStatus(ORT_FAIL, e.what());
}

inline Status::Status(const Exception& e) noexcept {
  p_ = GetApi().CreateStatus(e.GetOrtErrorCode(), e.what());
}

inline Status::Status(const char* message, OrtErrorCode code) noexcept {
  p_ = GetApi().CreateStatus(code, message);
}

inline std::string Status::GetErrorMessage() const {
  std::string message(GetApi().GetErrorMessage(p_));
  return message;
}

inline OrtErrorCode Status::GetErrorCode() const {
  return GetApi().GetErrorCode(p_);
}

inline bool Status::IsOK() const noexcept {
  return (p_ == nullptr);
}

// This template converts a C++ type into it's ONNXTensorElementDataType
template <typename T>
struct TypeToTensorType;
template <>
struct TypeToTensorType<float> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;
};
template <>
struct TypeToTensorType<Float16_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16;
};
template <>
struct TypeToTensorType<BFloat16_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_BFLOAT16;
};
template <>
struct TypeToTensorType<double> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE;
};
template <>
struct TypeToTensorType<int8_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8;
};
template <>
struct TypeToTensorType<int16_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16;
};
template <>
struct TypeToTensorType<int32_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32;
};
template <>
struct TypeToTensorType<int64_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64;
};
template <>
struct TypeToTensorType<uint8_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8;
};
template <>
struct TypeToTensorType<uint16_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16;
};
template <>
struct TypeToTensorType<uint32_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT32;
};
template <>
struct TypeToTensorType<uint64_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT64;
};
template <>
struct TypeToTensorType<bool> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL;
};

template <>
struct TypeToTensorType<Float8E4M3FN_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E4M3FN;
};
template <>
struct TypeToTensorType<Float8E4M3FNUZ_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E4M3FNUZ;
};
template <>
struct TypeToTensorType<Float8E5M2_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E5M2;
};
template <>
struct TypeToTensorType<Float8E5M2FNUZ_t> {
  static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E5M2FNUZ;
};

inline bool BFloat16_t::operator==(const BFloat16_t& rhs) const noexcept {
  if (IsNaN() || rhs.IsNaN()) {
    // IEEE defines that NaN is not equal to anything, including itself.
    return false;
  }
  return val == rhs.val;
}

inline bool BFloat16_t::operator<(const BFloat16_t& rhs) const noexcept {
  if (IsNaN() || rhs.IsNaN()) {
    // IEEE defines that NaN is unordered with respect to everything, including itself.
    return false;
  }

  const bool left_is_negative = IsNegative();
  if (left_is_negative != rhs.IsNegative()) {
    // When the signs of left and right differ, we know that left is less than right if it is
    // the negative value. The exception to this is if both values are zero, in which case IEEE
    // says they should be equal, even if the signs differ.
    return left_is_negative && !AreZero(*this, rhs);
  }
  return (val != rhs.val) && ((val < rhs.val) ^ left_is_negative);
}

inline MemoryAllocation::MemoryAllocation(OrtAllocator* allocator, void* p, size_t size)
    : allocator_(allocator), p_(p), size_(size) {
}

inline MemoryAllocation::~MemoryAllocation() {
  if (p_ != nullptr) {
    // We do not throw out of destructor
    auto ret = GetApi().AllocatorFree(allocator_, p_);
    static_cast<void>(ret);
  }
}

inline MemoryAllocation::MemoryAllocation(MemoryAllocation&& o) noexcept : allocator_(nullptr), p_(nullptr), size_(0) {
  *this = std::move(o);
}

inline MemoryAllocation& MemoryAllocation::operator=(MemoryAllocation&& o) noexcept {
  OrtAllocator* alloc = nullptr;
  void* p = nullptr;
  size_t sz = 0;

  // Swap out this
  std::swap(alloc, allocator_);
  std::swap(p, p_);
  std::swap(sz, size_);

  // Swap with incoming
  std::swap(allocator_, o.allocator_);
  std::swap(p_, o.p_);
  std::swap(size_, o.size_);

  // Destroy this instance if needed
  MemoryAllocation this_alloc(alloc, p, sz);
  return *this;
}

namespace detail {

template <typename T>
inline void* AllocatorImpl<T>::Alloc(size_t size) {
  void* out;
  ThrowOnError(GetApi().AllocatorAlloc(this->p_, size, &out));
  return out;
}

template <typename T>
inline MemoryAllocation AllocatorImpl<T>::GetAllocation(size_t size) {
  void* out;
  ThrowOnError(GetApi().AllocatorAlloc(this->p_, size, &out));
  MemoryAllocation result(this->p_, out, size);
  return result;
}

template <typename T>
inline void AllocatorImpl<T>::Free(void* p) {
  ThrowOnError(GetApi().AllocatorFree(this->p_, p));
}

template <typename T>
inline ConstMemoryInfo AllocatorImpl<T>::GetInfo() const {
  const OrtMemoryInfo* out;
  ThrowOnError(GetApi().AllocatorGetInfo(this->p_, &out));
  return ConstMemoryInfo{out};
}

}  // namespace detail

inline AllocatorWithDefaultOptions::AllocatorWithDefaultOptions() {
  ThrowOnError(GetApi().GetAllocatorWithDefaultOptions(&this->p_));
}

inline Allocator::Allocator(const Session& sess, const OrtMemoryInfo* mem_info) {
  ThrowOnError(GetApi().CreateAllocator(sess, mem_info, &this->p_));
}

namespace detail {

template <typename T>
inline std::string MemoryInfoImpl<T>::GetAllocatorName() const {
  const char* name = nullptr;
  ThrowOnError(GetApi().MemoryInfoGetName(this->p_, &name));
  return std::string(name);
}

template <typename T>
inline OrtAllocatorType MemoryInfoImpl<T>::GetAllocatorType() const {
  OrtAllocatorType type;
  ThrowOnError(GetApi().MemoryInfoGetType(this->p_, &type));
  return type;
}

template <typename T>
inline int MemoryInfoImpl<T>::GetDeviceId() const {
  int id = 0;
  ThrowOnError(GetApi().MemoryInfoGetId(this->p_, &id));
  return id;
}

template <typename T>
inline OrtMemoryInfoDeviceType MemoryInfoImpl<T>::GetDeviceType() const {
  OrtMemoryInfoDeviceType type;
  GetApi().MemoryInfoGetDeviceType(this->p_, &type);
  return type;
}

template <typename T>
inline OrtMemType MemoryInfoImpl<T>::GetMemoryType() const {
  OrtMemType type;
  ThrowOnError(GetApi().MemoryInfoGetMemType(this->p_, &type));
  return type;
}

template <typename T>
template <typename U>
inline bool MemoryInfoImpl<T>::operator==(const MemoryInfoImpl<U>& o) const {
  int comp_result = 0;
  ThrowOnError(Ort::GetApi().CompareMemoryInfo(this->p_, o, &comp_result));
  return comp_result == 0;
}

}  // namespace detail

inline MemoryInfo MemoryInfo::CreateCpu(OrtAllocatorType type, OrtMemType mem_type) {
  OrtMemoryInfo* p;
  ThrowOnError(GetApi().CreateCpuMemoryInfo(type, mem_type, &p));
  return MemoryInfo(p);
}

inline MemoryInfo::MemoryInfo(const char* name, OrtAllocatorType type, int id, OrtMemType mem_type) {
  ThrowOnError(GetApi().CreateMemoryInfo(name, type, id, mem_type, &this->p_));
}

namespace detail {
template <typename T>
inline std::vector<std::string> ConstIoBindingImpl<T>::GetOutputNames() const {
  AllocatorWithDefaultOptions allocator;
  return binding_utils::GetOutputNamesHelper(this->p_, allocator);
}

template <typename T>
inline std::vector<std::string> ConstIoBindingImpl<T>::GetOutputNames(OrtAllocator* allocator) const {
  return binding_utils::GetOutputNamesHelper(this->p_, allocator);
}

template <typename T>
inline std::vector<Value> ConstIoBindingImpl<T>::GetOutputValues() const {
  AllocatorWithDefaultOptions allocator;
  return binding_utils::GetOutputValuesHelper(this->p_, allocator);
}

template <typename T>
inline std::vector<Value> ConstIoBindingImpl<T>::GetOutputValues(OrtAllocator* allocator) const {
  return binding_utils::GetOutputValuesHelper(this->p_, allocator);
}

template <typename T>
inline void IoBindingImpl<T>::BindInput(const char* name, const Value& value) {
  ThrowOnError(GetApi().BindInput(this->p_, name, value));
}

template <typename T>
inline void IoBindingImpl<T>::BindOutput(const char* name, const Value& value) {
  ThrowOnError(GetApi().BindOutput(this->p_, name, value));
}

template <typename T>
inline void IoBindingImpl<T>::BindOutput(const char* name, const OrtMemoryInfo* mem_info) {
  ThrowOnError(GetApi().BindOutputToDevice(this->p_, name, mem_info));
}

template <typename T>
inline void IoBindingImpl<T>::ClearBoundInputs() {
  GetApi().ClearBoundInputs(this->p_);
}

template <typename T>
inline void IoBindingImpl<T>::ClearBoundOutputs() {
  GetApi().ClearBoundOutputs(this->p_);
}

template <typename T>
inline void IoBindingImpl<T>::SynchronizeInputs() {
  ThrowOnError(GetApi().SynchronizeBoundInputs(this->p_));
}

template <typename T>
inline void IoBindingImpl<T>::SynchronizeOutputs() {
  ThrowOnError(GetApi().SynchronizeBoundOutputs(this->p_));
}

namespace binding_utils {
inline std::vector<std::string> GetOutputNamesHelper(const OrtIoBinding* binding, OrtAllocator* allocator) {
  std::vector<std::string> result;
  auto free_fn = detail::AllocatedFree(allocator);
  using Ptr = std::unique_ptr<void, decltype(free_fn)>;

  char* buffer = nullptr;
  size_t* lengths = nullptr;
  size_t count = 0;
  ThrowOnError(GetApi().GetBoundOutputNames(binding, allocator, &buffer, &lengths, &count));

  if (count == 0) {
    return result;
  }

  Ptr buffer_g(buffer, free_fn);
  Ptr lengths_g(lengths, free_fn);

  result.reserve(count);
  for (size_t i = 0; i < count; ++i) {
    auto sz = *lengths;
    result.emplace_back(buffer, sz);
    buffer += sz;
    ++lengths;
  }
  return result;
}

inline std::vector<Value> GetOutputValuesHelper(const OrtIoBinding* binding, OrtAllocator* allocator) {
  std::vector<Value> result;
  size_t owned = 0;
  size_t output_count = 0;
  // Lambda to release the buffer when no longer needed and
  // make sure that we destroy all instances on exception
  auto free_fn = [&owned, &output_count, allocator](OrtValue** buffer) {
    if (buffer) {
      while (owned < output_count) {
        auto* p = buffer + owned++;
        GetApi().ReleaseValue(*p);
      }
      allocator->Free(allocator, buffer);
    }
  };
  using Ptr = std::unique_ptr<OrtValue*, decltype(free_fn)>;

  OrtValue** output_buffer = nullptr;
  ThrowOnError(GetApi().GetBoundOutputValues(binding, allocator, &output_buffer, &output_count));
  if (output_count == 0) {
    return result;
  }

  Ptr buffer_g(output_buffer, free_fn);

  result.reserve(output_count);
  for (size_t i = 0; i < output_count; ++i) {
    result.emplace_back(output_buffer[i]);
    ++owned;
  }
  return result;
}

}  // namespace binding_utils
}  // namespace detail

inline IoBinding::IoBinding(Session& session) {
  ThrowOnError(GetApi().CreateIoBinding(session, &this->p_));
}

inline ArenaCfg::ArenaCfg(size_t max_mem, int arena_extend_strategy, int initial_chunk_size_bytes, int max_dead_bytes_per_chunk) {
  ThrowOnError(GetApi().CreateArenaCfg(max_mem, arena_extend_strategy, initial_chunk_size_bytes, max_dead_bytes_per_chunk, &p_));
}

inline ThreadingOptions::ThreadingOptions() {
  ThrowOnError(GetApi().CreateThreadingOptions(&p_));
}

inline ThreadingOptions& ThreadingOptions::SetGlobalIntraOpNumThreads(int intra_op_num_threads) {
  ThrowOnError(GetApi().SetGlobalIntraOpNumThreads(p_, intra_op_num_threads));
  return *this;
}

inline ThreadingOptions& ThreadingOptions::SetGlobalInterOpNumThreads(int inter_op_num_threads) {
  ThrowOnError(GetApi().SetGlobalInterOpNumThreads(p_, inter_op_num_threads));
  return *this;
}

inline ThreadingOptions& ThreadingOptions::SetGlobalSpinControl(int allow_spinning) {
  ThrowOnError(GetApi().SetGlobalSpinControl(p_, allow_spinning));
  return *this;
}

inline ThreadingOptions& ThreadingOptions::SetGlobalDenormalAsZero() {
  ThrowOnError(GetApi().SetGlobalDenormalAsZero(p_));
  return *this;
}

inline ThreadingOptions& ThreadingOptions::SetGlobalCustomCreateThreadFn(OrtCustomCreateThreadFn ort_custom_create_thread_fn) {
  ThrowOnError(GetApi().SetGlobalCustomCreateThreadFn(p_, ort_custom_create_thread_fn));
  return *this;
}

inline ThreadingOptions& ThreadingOptions::SetGlobalCustomThreadCreationOptions(void* ort_custom_thread_creation_options) {
  ThrowOnError(GetApi().SetGlobalCustomThreadCreationOptions(p_, ort_custom_thread_creation_options));
  return *this;
}

inline ThreadingOptions& ThreadingOptions::SetGlobalCustomJoinThreadFn(OrtCustomJoinThreadFn ort_custom_join_thread_fn) {
  ThrowOnError(GetApi().SetGlobalCustomJoinThreadFn(p_, ort_custom_join_thread_fn));
  return *this;
}

inline Env::Env(OrtLoggingLevel logging_level, _In_ const char* logid) {
  ThrowOnError(GetApi().CreateEnv(logging_level, logid, &p_));
  if (strcmp(logid, "onnxruntime-node") == 0) {
    ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_NODEJS));
  } else {
    ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_CPLUSPLUS));
  }
}

inline Env::Env(OrtLoggingLevel logging_level, const char* logid, OrtLoggingFunction logging_function, void* logger_param) {
  ThrowOnError(GetApi().CreateEnvWithCustomLogger(logging_function, logger_param, logging_level, logid, &p_));
  if (strcmp(logid, "onnxruntime-node") == 0) {
    ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_NODEJS));
  } else {
    ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_CPLUSPLUS));
  }
}

inline Env::Env(const OrtThreadingOptions* tp_options, OrtLoggingLevel logging_level, _In_ const char* logid) {
  ThrowOnError(GetApi().CreateEnvWithGlobalThreadPools(logging_level, logid, tp_options, &p_));
  if (strcmp(logid, "onnxruntime-node") == 0) {
    ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_NODEJS));
  } else {
    ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_CPLUSPLUS));
  }
}

inline Env::Env(const OrtThreadingOptions* tp_options, OrtLoggingFunction logging_function, void* logger_param,
                OrtLoggingLevel logging_level, _In_ const char* logid) {
  ThrowOnError(GetApi().CreateEnvWithCustomLoggerAndGlobalThreadPools(logging_function, logger_param, logging_level, logid, tp_options, &p_));
  if (strcmp(logid, "onnxruntime-node") == 0) {
    ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_NODEJS));
  } else {
    ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_CPLUSPLUS));
  }
}

inline Env& Env::EnableTelemetryEvents() {
  ThrowOnError(GetApi().EnableTelemetryEvents(p_));
  return *this;
}

inline Env& Env::DisableTelemetryEvents() {
  ThrowOnError(GetApi().DisableTelemetryEvents(p_));
  return *this;
}

inline Env& Env::UpdateEnvWithCustomLogLevel(OrtLoggingLevel log_severity_level) {
  ThrowOnError(GetApi().UpdateEnvWithCustomLogLevel(p_, log_severity_level));
  return *this;
}

inline Env& Env::CreateAndRegisterAllocator(const OrtMemoryInfo* mem_info, const OrtArenaCfg* arena_cfg) {
  ThrowOnError(GetApi().CreateAndRegisterAllocator(p_, mem_info, arena_cfg));
  return *this;
}

inline Env& Env::CreateAndRegisterAllocatorV2(const std::string& provider_type, const OrtMemoryInfo* mem_info, const std::unordered_map<std::string, std::string>& options, const OrtArenaCfg* arena_cfg) {
  std::vector<const char*> keys, values;
  auto num_entries = options.size();
  if (num_entries > 0) {
    keys.reserve(num_entries);
    values.reserve(num_entries);
    for (const auto& entry : options) {
      keys.push_back(entry.first.c_str());
      values.push_back(entry.second.c_str());
    }
  }
  ThrowOnError(GetApi().CreateAndRegisterAllocatorV2(p_, provider_type.c_str(), mem_info, arena_cfg, keys.data(), values.data(), num_entries));
  return *this;
}

inline CustomOpDomain::CustomOpDomain(const char* domain) {
  ThrowOnError(GetApi().CreateCustomOpDomain(domain, &p_));
}

inline void CustomOpDomain::Add(const OrtCustomOp* op) {
  ThrowOnError(GetApi().CustomOpDomain_Add(p_, op));
}

inline LoraAdapter LoraAdapter::CreateLoraAdapter(const std::basic_string<ORTCHAR_T>& adapter_path,
                                                  OrtAllocator* allocator) {
  OrtLoraAdapter* p;
  ThrowOnError(GetApi().CreateLoraAdapter(adapter_path.c_str(), allocator, &p));
  return LoraAdapter{p};
}

inline LoraAdapter LoraAdapter::CreateLoraAdapterFromArray(const void* bytes, size_t num_bytes,
                                                           OrtAllocator* allocator) {
  OrtLoraAdapter* p;
  ThrowOnError(GetApi().CreateLoraAdapterFromArray(bytes, num_bytes, allocator, &p));
  return LoraAdapter{p};
}

inline RunOptions::RunOptions() {
  ThrowOnError(GetApi().CreateRunOptions(&p_));
}

inline RunOptions& RunOptions::SetRunLogVerbosityLevel(int level) {
  ThrowOnError(GetApi().RunOptionsSetRunLogVerbosityLevel(p_, level));
  return *this;
}

inline RunOptions& RunOptions::SetRunLogSeverityLevel(int level) {
  ThrowOnError(GetApi().RunOptionsSetRunLogSeverityLevel(p_, level));
  return *this;
}

inline int RunOptions::GetRunLogVerbosityLevel() const {
  int out;
  ThrowOnError(GetApi().RunOptionsGetRunLogVerbosityLevel(p_, &out));
  return out;
}

inline int RunOptions::GetRunLogSeverityLevel() const {
  int out;
  ThrowOnError(GetApi().RunOptionsGetRunLogSeverityLevel(p_, &out));
  return out;
}

inline RunOptions& RunOptions::SetRunTag(const char* run_tag) {
  ThrowOnError(GetApi().RunOptionsSetRunTag(p_, run_tag));
  return *this;
}

inline const char* RunOptions::GetRunTag() const {
  const char* out;
  ThrowOnError(GetApi().RunOptionsGetRunTag(p_, &out));
  return out;
}

inline RunOptions& RunOptions::AddConfigEntry(const char* config_key, const char* config_value) {
  ThrowOnError(GetApi().AddRunConfigEntry(p_, config_key, config_value));
  return *this;
}

inline RunOptions& RunOptions::SetTerminate() {
  ThrowOnError(GetApi().RunOptionsSetTerminate(p_));
  return *this;
}

inline RunOptions& RunOptions::UnsetTerminate() {
  ThrowOnError(GetApi().RunOptionsUnsetTerminate(p_));
  return *this;
}

inline RunOptions& RunOptions::AddActiveLoraAdapter(const LoraAdapter& adapter) {
  ThrowOnError(GetApi().RunOptionsAddActiveLoraAdapter(p_, adapter));
  return *this;
}

namespace detail {

template <typename T>
inline Ort::SessionOptions ConstSessionOptionsImpl<T>::Clone() const {
  OrtSessionOptions* out;
  ThrowOnError(GetApi().CloneSessionOptions(this->p_, &out));
  return SessionOptions{out};
}

template <typename T>
inline std::string ConstSessionOptionsImpl<T>::GetConfigEntry(const char* config_key) const {
  size_t size = 0;
  // Feed nullptr for the data buffer to query the true size of the string value
  Ort::ThrowOnError(GetApi().GetSessionConfigEntry(this->p_, config_key, nullptr, &size));

  std::string out;
  out.resize(size);
  Ort::ThrowOnError(GetApi().GetSessionConfigEntry(this->p_, config_key, &out[0], &size));
  out.resize(size - 1);  // remove the terminating character '\0'

  return out;
}

template <typename T>
inline bool ConstSessionOptionsImpl<T>::HasConfigEntry(const char* config_key) const {
  int out = 0;
  Ort::ThrowOnError(GetApi().HasSessionConfigEntry(this->p_, config_key, &out));
  return static_cast<bool>(out);
}

template <typename T>
inline std::string ConstSessionOptionsImpl<T>::GetConfigEntryOrDefault(const char* config_key, const std::string& def) {
  if (!this->HasConfigEntry(config_key)) {
    return def;
  }

  return this->GetConfigEntry(config_key);
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetIntraOpNumThreads(int intra_op_num_threads) {
  ThrowOnError(GetApi().SetIntraOpNumThreads(this->p_, intra_op_num_threads));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetInterOpNumThreads(int inter_op_num_threads) {
  ThrowOnError(GetApi().SetInterOpNumThreads(this->p_, inter_op_num_threads));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetGraphOptimizationLevel(GraphOptimizationLevel graph_optimization_level) {
  ThrowOnError(GetApi().SetSessionGraphOptimizationLevel(this->p_, graph_optimization_level));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetDeterministicCompute(bool value) {
  ThrowOnError(GetApi().SetDeterministicCompute(this->p_, value));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetOptimizedModelFilePath(const ORTCHAR_T* optimized_model_filepath) {
  ThrowOnError(GetApi().SetOptimizedModelFilePath(this->p_, optimized_model_filepath));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::EnableProfiling(const ORTCHAR_T* profile_file_prefix) {
  ThrowOnError(GetApi().EnableProfiling(this->p_, profile_file_prefix));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::DisableProfiling() {
  ThrowOnError(GetApi().DisableProfiling(this->p_));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::EnableOrtCustomOps() {
  ThrowOnError(GetApi().EnableOrtCustomOps(this->p_));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::EnableMemPattern() {
  ThrowOnError(GetApi().EnableMemPattern(this->p_));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::DisableMemPattern() {
  ThrowOnError(GetApi().DisableMemPattern(this->p_));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::EnableCpuMemArena() {
  ThrowOnError(GetApi().EnableCpuMemArena(this->p_));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::DisableCpuMemArena() {
  ThrowOnError(GetApi().DisableCpuMemArena(this->p_));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetExecutionMode(ExecutionMode execution_mode) {
  ThrowOnError(GetApi().SetSessionExecutionMode(this->p_, execution_mode));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetLogId(const char* logid) {
  ThrowOnError(GetApi().SetSessionLogId(this->p_, logid));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetLogSeverityLevel(int level) {
  ThrowOnError(GetApi().SetSessionLogSeverityLevel(this->p_, level));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::Add(OrtCustomOpDomain* custom_op_domain) {
  ThrowOnError(GetApi().AddCustomOpDomain(this->p_, custom_op_domain));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AddConfigEntry(const char* config_key, const char* config_value) {
  ThrowOnError(GetApi().AddSessionConfigEntry(this->p_, config_key, config_value));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AddInitializer(const char* name, const OrtValue* ort_val) {
  ThrowOnError(GetApi().AddInitializer(this->p_, name, ort_val));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::DisablePerSessionThreads() {
  ThrowOnError(GetApi().DisablePerSessionThreads(this->p_));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AddExternalInitializers(const std::vector<std::string>& names,
                                                                             const std::vector<Value>& ort_values) {
  const size_t inputs_num = names.size();
  if (inputs_num != ort_values.size()) {
    ORT_CXX_API_THROW("Expecting names and ort_values to have the same length", ORT_INVALID_ARGUMENT);
  }
  std::vector<const char*> names_ptr;
  std::vector<const OrtValue*> ort_values_ptrs;
  names_ptr.reserve(inputs_num);
  ort_values_ptrs.reserve(inputs_num);
  for (size_t i = 0; i < inputs_num; ++i) {
    names_ptr.push_back(names[i].c_str());
    ort_values_ptrs.push_back(ort_values[i]);
  }
  ThrowOnError(GetApi().AddExternalInitializers(this->p_, names_ptr.data(), ort_values_ptrs.data(), inputs_num));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AddExternalInitializersFromFilesInMemory(const std::vector<std::basic_string<ORTCHAR_T>>& file_names,
                                                                                              const std::vector<char*>& buffer_array,
                                                                                              const std::vector<size_t>& file_lengths) {
  const size_t inputs_num = file_names.size();
  if (inputs_num != buffer_array.size()) {
    ORT_CXX_API_THROW("Expecting names and buffer_array to have the same length", ORT_INVALID_ARGUMENT);
  }
  if (inputs_num != file_lengths.size()) {
    ORT_CXX_API_THROW("Expecting names and file_lengths to have the same length", ORT_INVALID_ARGUMENT);
  }
  std::vector<const ORTCHAR_T*> names_ptr;
  names_ptr.reserve(inputs_num);
  for (size_t i = 0; i < inputs_num; ++i) {
    names_ptr.push_back(file_names[i].c_str());
  }
  ThrowOnError(GetApi().AddExternalInitializersFromFilesInMemory(this->p_, names_ptr.data(), buffer_array.data(),
                                                                 file_lengths.data(), inputs_num));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_CUDA(const OrtCUDAProviderOptions& provider_options) {
  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_CUDA(this->p_, &provider_options));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_CUDA_V2(const OrtCUDAProviderOptionsV2& provider_options) {
  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_CUDA_V2(this->p_, &provider_options));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_ROCM(const OrtROCMProviderOptions& provider_options) {
  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_ROCM(this->p_, &provider_options));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_TensorRT(const OrtTensorRTProviderOptions& provider_options) {
  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_TensorRT(this->p_, &provider_options));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_TensorRT_V2(const OrtTensorRTProviderOptionsV2& provider_options) {
  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_TensorRT_V2(this->p_, &provider_options));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_MIGraphX(const OrtMIGraphXProviderOptions& provider_options) {
  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_MIGraphX(this->p_, &provider_options));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_CANN(const OrtCANNProviderOptions& provider_options) {
  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_CANN(this->p_, &provider_options));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_Dnnl(const OrtDnnlProviderOptions& provider_options) {
  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_Dnnl(this->p_, &provider_options));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider(
    const std::string& provider_name,
    const std::unordered_map<std::string, std::string>& provider_options) {
  auto num_entries = provider_options.size();
  std::vector<const char*> keys, values;
  if (num_entries > 0) {
    keys.reserve(num_entries);
    values.reserve(num_entries);

    for (const auto& entry : provider_options) {
      keys.push_back(entry.first.c_str());
      values.push_back(entry.second.c_str());
    }
  }

  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider(this->p_, provider_name.c_str(),
                                                              keys.data(), values.data(), num_entries));

  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetCustomCreateThreadFn(OrtCustomCreateThreadFn ort_custom_create_thread_fn) {
  ThrowOnError(GetApi().SessionOptionsSetCustomCreateThreadFn(this->p_, ort_custom_create_thread_fn));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetCustomThreadCreationOptions(void* ort_custom_thread_creation_options) {
  ThrowOnError(GetApi().SessionOptionsSetCustomThreadCreationOptions(this->p_, ort_custom_thread_creation_options));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetCustomJoinThreadFn(OrtCustomJoinThreadFn ort_custom_join_thread_fn) {
  ThrowOnError(GetApi().SessionOptionsSetCustomJoinThreadFn(this->p_, ort_custom_join_thread_fn));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_OpenVINO(const OrtOpenVINOProviderOptions& provider_options) {
  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_OpenVINO(this->p_, &provider_options));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_OpenVINO_V2(const std::unordered_map<std::string, std::string>& provider_options) {
  auto num_entries = provider_options.size();
  std::vector<const char*> keys, values;
  if (num_entries > 0) {
    keys.reserve(num_entries);
    values.reserve(num_entries);

    for (const auto& entry : provider_options) {
      keys.push_back(entry.first.c_str());
      values.push_back(entry.second.c_str());
    }
  }

  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_OpenVINO_V2(this->p_,
                                                                          keys.data(), values.data(), num_entries));

  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_VitisAI(const std::unordered_map<std::string, std::string>& provider_options) {
  auto num_entries = provider_options.size();
  std::vector<const char*> keys, values;
  if (num_entries > 0) {
    keys.reserve(num_entries);
    values.reserve(num_entries);

    for (const auto& entry : provider_options) {
      keys.push_back(entry.first.c_str());
      values.push_back(entry.second.c_str());
    }
  }

  ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_VitisAI(this->p_, keys.data(), values.data(), num_entries));

  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::RegisterCustomOpsLibrary(const ORTCHAR_T* library_name,
                                                                              const CustomOpConfigs& custom_op_configs) {
  // Add custom op config entries before registering the custom op library. Otherwise, the config entries _may_ be ignored by
  // the custom op library.
  for (const auto& config_iter : custom_op_configs.GetFlattenedConfigs()) {
    AddConfigEntry(config_iter.first.c_str(), config_iter.second.c_str());
  }

  ThrowOnError(GetApi().RegisterCustomOpsLibrary_V2(this->p_, library_name));
  return *this;
}

template <typename T>
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::RegisterCustomOpsUsingFunction(const char* registration_function_name) {
  ThrowOnError(GetApi().RegisterCustomOpsUsingFunction(this->p_, registration_function_name));
  return *this;
}

/// Session
template <typename T>
inline size_t ConstSessionImpl<T>::GetInputCount() const {
  size_t out;
  ThrowOnError(GetApi().SessionGetInputCount(this->p_, &out));
  return out;
}

template <typename T>
inline size_t ConstSessionImpl<T>::GetOutputCount() const {
  size_t out;
  ThrowOnError(GetApi().SessionGetOutputCount(this->p_, &out));
  return out;
}

template <typename T>
inline size_t ConstSessionImpl<T>::GetOverridableInitializerCount() const {
  size_t out;
  ThrowOnError(GetApi().SessionGetOverridableInitializerCount(this->p_, &out));
  return out;
}

template <typename T>
inline AllocatedStringPtr ConstSessionImpl<T>::GetInputNameAllocated(size_t index, OrtAllocator* allocator) const {
  char* out;
  ThrowOnError(GetApi().SessionGetInputName(this->p_, index, allocator, &out));
  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
}

template <typename T>
inline AllocatedStringPtr ConstSessionImpl<T>::GetOutputNameAllocated(size_t index, OrtAllocator* allocator) const {
  char* out;
  ThrowOnError(GetApi().SessionGetOutputName(this->p_, index, allocator, &out));
  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
}

template <typename T>
inline AllocatedStringPtr ConstSessionImpl<T>::GetOverridableInitializerNameAllocated(size_t index, OrtAllocator* allocator) const {
  char* out;
  ThrowOnError(GetApi().SessionGetOverridableInitializerName(this->p_, index, allocator, &out));
  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
}

template <typename T>
inline uint64_t ConstSessionImpl<T>::GetProfilingStartTimeNs() const {
  uint64_t out;
  ThrowOnError(GetApi().SessionGetProfilingStartTimeNs(this->p_, &out));
  return out;
}

template <typename T>
inline ModelMetadata ConstSessionImpl<T>::GetModelMetadata() const {
  OrtModelMetadata* out;
  ThrowOnError(GetApi().SessionGetModelMetadata(this->p_, &out));
  return ModelMetadata{out};
}

template <typename T>
inline TypeInfo ConstSessionImpl<T>::GetInputTypeInfo(size_t index) const {
  OrtTypeInfo* out;
  ThrowOnError(GetApi().SessionGetInputTypeInfo(this->p_, index, &out));
  return TypeInfo{out};
}

template <typename T>
inline TypeInfo ConstSessionImpl<T>::GetOutputTypeInfo(size_t index) const {
  OrtTypeInfo* out;
  ThrowOnError(GetApi().SessionGetOutputTypeInfo(this->p_, index, &out));
  return TypeInfo{out};
}

template <typename T>
inline TypeInfo ConstSessionImpl<T>::GetOverridableInitializerTypeInfo(size_t index) const {
  OrtTypeInfo* out;
  ThrowOnError(GetApi().SessionGetOverridableInitializerTypeInfo(this->p_, index, &out));
  return TypeInfo{out};
}

template <typename T>
inline std::vector<Value> SessionImpl<T>::Run(const RunOptions& run_options, const char* const* input_names, const Value* input_values, size_t input_count,
                                              const char* const* output_names, size_t output_count) {
  std::vector<Value> output_values;
  output_values.reserve(output_count);
  for (size_t i = 0; i < output_count; i++)
    output_values.emplace_back(nullptr);
  Run(run_options, input_names, input_values, input_count, output_names, output_values.data(), output_count);
  return output_values;
}

template <typename T>
inline void SessionImpl<T>::Run(const RunOptions& run_options, const char* const* input_names, const Value* input_values, size_t input_count,
                                const char* const* output_names, Value* output_values, size_t output_count) {
  static_assert(sizeof(Value) == sizeof(OrtValue*), "Value is really just an array of OrtValue* in memory, so we can reinterpret_cast safely");
  auto ort_input_values = reinterpret_cast<const OrtValue* const*>(input_values);
  auto ort_output_values = reinterpret_cast<OrtValue**>(output_values);
  ThrowOnError(GetApi().Run(this->p_, run_options, input_names, ort_input_values, input_count, output_names, output_count, ort_output_values));
}

template <typename T>
inline void SessionImpl<T>::Run(const RunOptions& run_options, const IoBinding& io_binding) {
  ThrowOnError(GetApi().RunWithBinding(this->p_, run_options, io_binding));
}

template <typename T>
inline void SessionImpl<T>::RunAsync(const RunOptions& run_options, const char* const* input_names, const Value* input_values, size_t input_count,
                                     const char* const* output_names, Value* output_values, size_t output_count, RunAsyncCallbackFn callback, void* user_data) {
  auto ort_input_values = reinterpret_cast<const OrtValue* const*>(input_values);
  auto ort_output_values = reinterpret_cast<OrtValue**>(output_values);
  ThrowOnError(GetApi().RunAsync(this->p_, run_options, input_names,
                                 ort_input_values, input_count, output_names, output_count,
                                 ort_output_values, callback, user_data));
}

template <typename T>
inline AllocatedStringPtr SessionImpl<T>::EndProfilingAllocated(OrtAllocator* allocator) {
  char* out = nullptr;
  ThrowOnError(GetApi().SessionEndProfiling(this->p_, allocator, &out));
  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
}

template <typename T>
inline void SessionImpl<T>::SetEpDynamicOptions(const char* const* keys, const char* const* values, size_t kv_len) {
  ThrowOnError(GetApi().SetEpDynamicOptions(this->p_, keys, values, kv_len));
}

}  // namespace detail

inline SessionOptions::SessionOptions() {
  ThrowOnError(GetApi().CreateSessionOptions(&this->p_));
}

/// CustomOpConfigs
inline std::string detail::MakeCustomOpConfigEntryKey(const char* custom_op_name, const char* config) {
  std::string config_key = "custom_op.";

  config_key += custom_op_name;
  config_key += ".";
  config_key += config;

  return config_key;
}

inline CustomOpConfigs& CustomOpConfigs::AddConfig(const char* custom_op_name, const char* config_key, const char* config_value) {
  const std::string full_flat_key = detail::MakeCustomOpConfigEntryKey(custom_op_name, config_key);
  flat_configs_[full_flat_key] = config_value;
  return *this;
}

inline const std::unordered_map<std::string, std::string>& CustomOpConfigs::GetFlattenedConfigs() const {
  return flat_configs_;
}

inline Session::Session(const Env& env, const ORTCHAR_T* model_path, const SessionOptions& options) {
  ThrowOnError(GetApi().CreateSession(env, model_path, options, &this->p_));
}

inline Session::Session(const Env& env, const ORTCHAR_T* model_path, const SessionOptions& options,
                        OrtPrepackedWeightsContainer* prepacked_weights_container) {
  ThrowOnError(GetApi().CreateSessionWithPrepackedWeightsContainer(env, model_path, options, prepacked_weights_container, &this->p_));
}

inline Session::Session(const Env& env, const void* model_data, size_t model_data_length, const SessionOptions& options) {
  ThrowOnError(GetApi().CreateSessionFromArray(env, model_data, model_data_length, options, &this->p_));
}

inline Session::Session(const Env& env, const void* model_data, size_t model_data_length,
                        const SessionOptions& options, OrtPrepackedWeightsContainer* prepacked_weights_container) {
  ThrowOnError(GetApi().CreateSessionFromArrayWithPrepackedWeightsContainer(env, model_data, model_data_length, options,
                                                                            prepacked_weights_container, &this->p_));
}

inline AllocatedStringPtr ModelMetadata::GetProducerNameAllocated(OrtAllocator* allocator) const {
  char* out;
  ThrowOnError(GetApi().ModelMetadataGetProducerName(p_, allocator, &out));
  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
}

inline AllocatedStringPtr ModelMetadata::GetGraphNameAllocated(OrtAllocator* allocator) const {
  char* out;
  ThrowOnError(GetApi().ModelMetadataGetGraphName(p_, allocator, &out));
  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
}

inline AllocatedStringPtr ModelMetadata::GetDomainAllocated(OrtAllocator* allocator) const {
  char* out;
  ThrowOnError(GetApi().ModelMetadataGetDomain(p_, allocator, &out));
  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
}

inline AllocatedStringPtr Ort::ModelMetadata::GetDescriptionAllocated(OrtAllocator* allocator) const {
  char* out;
  ThrowOnError(GetApi().ModelMetadataGetDescription(p_, allocator, &out));
  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
}

inline AllocatedStringPtr ModelMetadata::GetGraphDescriptionAllocated(OrtAllocator* allocator) const {
  char* out;
  ThrowOnError(GetApi().ModelMetadataGetGraphDescription(p_, allocator, &out));
  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
}

inline AllocatedStringPtr ModelMetadata::LookupCustomMetadataMapAllocated(const char* key, OrtAllocator* allocator) const {
  char* out;
  ThrowOnError(GetApi().ModelMetadataLookupCustomMetadataMap(p_, allocator, key, &out));
  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
}

inline std::vector<AllocatedStringPtr> ModelMetadata::GetCustomMetadataMapKeysAllocated(OrtAllocator* allocator) const {
  auto deletor = detail::AllocatedFree(allocator);
  std::vector<AllocatedStringPtr> result;

  char** out = nullptr;
  int64_t num_keys = 0;
  ThrowOnError(GetApi().ModelMetadataGetCustomMetadataMapKeys(p_, allocator, &out, &num_keys));
  if (num_keys <= 0) {
    return result;
  }

  // array of pointers will be freed
  std::unique_ptr<void, decltype(deletor)> array_guard(out, deletor);
  // reserve may throw
  auto strings_deletor = [&deletor, num_keys](char** out) { for(int64_t i = 0; i < num_keys; ++i) deletor(out[i]); };
  std::unique_ptr<char*, decltype(strings_deletor)> strings_guard(out, strings_deletor);
  result.reserve(static_cast<size_t>(num_keys));
  strings_guard.release();
  for (int64_t i = 0; i < num_keys; ++i) {
    result.push_back(AllocatedStringPtr(out[i], deletor));
  }

  return result;
}

inline int64_t ModelMetadata::GetVersion() const {
  int64_t out;
  ThrowOnError(GetApi().ModelMetadataGetVersion(p_, &out));
  return out;
}

namespace detail {

template <typename T>
inline ONNXTensorElementDataType TensorTypeAndShapeInfoImpl<T>::GetElementType() const {
  ONNXTensorElementDataType out;
  ThrowOnError(GetApi().GetTensorElementType(this->p_, &out));
  return out;
}

template <typename T>
inline size_t TensorTypeAndShapeInfoImpl<T>::GetElementCount() const {
  size_t out;
  ThrowOnError(GetApi().GetTensorShapeElementCount(this->p_, &out));
  return static_cast<size_t>(out);
}

template <typename T>
inline size_t TensorTypeAndShapeInfoImpl<T>::GetDimensionsCount() const {
  size_t out;
  ThrowOnError(GetApi().GetDimensionsCount(this->p_, &out));
  return out;
}

template <typename T>
inline void TensorTypeAndShapeInfoImpl<T>::GetDimensions(int64_t* values, size_t values_count) const {
  ThrowOnError(GetApi().GetDimensions(this->p_, values, values_count));
}

template <typename T>
inline void TensorTypeAndShapeInfoImpl<T>::GetSymbolicDimensions(const char** values, size_t values_count) const {
  ThrowOnError(GetApi().GetSymbolicDimensions(this->p_, values, values_count));
}

template <typename T>
inline std::vector<int64_t> TensorTypeAndShapeInfoImpl<T>::GetShape() const {
  std::vector<int64_t> out(GetDimensionsCount(), 0);
  ThrowOnError(GetApi().GetDimensions(this->p_, out.data(), out.size()));
  return out;
}

template <typename T>
inline ConstTensorTypeAndShapeInfo TypeInfoImpl<T>::GetTensorTypeAndShapeInfo() const {
  const OrtTensorTypeAndShapeInfo* out;
  ThrowOnError(GetApi().CastTypeInfoToTensorInfo(this->p_, &out));
  return ConstTensorTypeAndShapeInfo{out};
}

template <typename T>
inline ConstSequenceTypeInfo TypeInfoImpl<T>::GetSequenceTypeInfo() const {
  const OrtSequenceTypeInfo* out;
  ThrowOnError(GetApi().CastTypeInfoToSequenceTypeInfo(this->p_, &out));
  return ConstSequenceTypeInfo{out};
}

template <typename T>
inline ConstMapTypeInfo TypeInfoImpl<T>::GetMapTypeInfo() const {
  const OrtMapTypeInfo* out;
  ThrowOnError(GetApi().CastTypeInfoToMapTypeInfo(this->p_, &out));
  return ConstMapTypeInfo{out};
}

template <typename T>
inline ONNXType TypeInfoImpl<T>::GetONNXType() const {
  ONNXType out;
  ThrowOnError(GetApi().GetOnnxTypeFromTypeInfo(this->p_, &out));
  return out;
}

template <typename T>
inline TypeInfo SequenceTypeInfoImpl<T>::GetSequenceElementType() const {
  OrtTypeInfo* output;
  ThrowOnError(GetApi().GetSequenceElementType(this->p_, &output));
  return TypeInfo{output};
}

template <typename T>
inline TypeInfo OptionalTypeInfoImpl<T>::GetOptionalElementType() const {
  OrtTypeInfo* info;
  ThrowOnError(GetApi().GetOptionalContainedTypeInfo(this->p_, &info));
  return TypeInfo{info};
}

template <typename T>
inline ONNXTensorElementDataType MapTypeInfoImpl<T>::GetMapKeyType() const {
  ONNXTensorElementDataType out;
  ThrowOnError(GetApi().GetMapKeyType(this->p_, &out));
  return out;
}

template <typename T>
inline TypeInfo MapTypeInfoImpl<T>::GetMapValueType() const {
  OrtTypeInfo* output;
  ThrowOnError(GetApi().GetMapValueType(this->p_, &output));
  return TypeInfo{output};
}

template <typename T>
inline ConstOptionalTypeInfo TypeInfoImpl<T>::GetOptionalTypeInfo() const {
  const OrtOptionalTypeInfo* info;
  ThrowOnError(GetApi().CastTypeInfoToOptionalTypeInfo(this->p_, &info));
  return ConstOptionalTypeInfo{info};
}

}  // namespace detail

namespace detail {

template <typename T>
template <typename R>
inline void ConstValueImpl<T>::GetOpaqueData(const char* domain, const char* type_name, R& out) const {
  ThrowOnError(GetApi().GetOpaqueValue(domain, type_name, this->p_, &out, sizeof(R)));
}

template <typename T>
inline bool ConstValueImpl<T>::IsTensor() const {
  int out;
  ThrowOnError(GetApi().IsTensor(this->p_, &out));
  return out != 0;
}

template <typename T>
inline bool ConstValueImpl<T>::HasValue() const {
  int out;
  ThrowOnError(GetApi().HasValue(this->p_, &out));
  return out != 0;
}

template <typename T>
inline size_t ConstValueImpl<T>::GetCount() const {
  size_t out;
  ThrowOnError(GetApi().GetValueCount(this->p_, &out));
  return out;
}

template <typename T>
inline Value ConstValueImpl<T>::GetValue(int index, OrtAllocator* allocator) const {
  OrtValue* out;
  ThrowOnError(GetApi().GetValue(this->p_, index, allocator, &out));
  return Value{out};
}

template <typename T>
inline size_t ConstValueImpl<T>::GetStringTensorDataLength() const {
  size_t out;
  ThrowOnError(GetApi().GetStringTensorDataLength(this->p_, &out));
  return out;
}

template <typename T>
inline size_t ConstValueImpl<T>::GetStringTensorElementLength(size_t element_index) const {
  size_t out;
  ThrowOnError(GetApi().GetStringTensorElementLength(this->p_, element_index, &out));
  return out;
}

template <typename T>
template <typename R>
inline const R* ConstValueImpl<T>::GetTensorData() const {
  R* out;
  ThrowOnError(GetApi().GetTensorMutableData(const_cast<OrtValue*>(this->p_), (void**)&out));
  return out;
}

template <typename T>
inline const void* ConstValueImpl<T>::GetTensorRawData() const {
  void* out;
  ThrowOnError(GetApi().GetTensorMutableData(const_cast<OrtValue*>(this->p_), &out));
  return out;
}

template <typename T>
inline TypeInfo ConstValueImpl<T>::GetTypeInfo() const {
  OrtTypeInfo* output;
  ThrowOnError(GetApi().GetTypeInfo(this->p_, &output));
  return TypeInfo{output};
}

template <typename T>
inline TensorTypeAndShapeInfo ConstValueImpl<T>::GetTensorTypeAndShapeInfo() const {
  OrtTensorTypeAndShapeInfo* output;
  ThrowOnError(GetApi().GetTensorTypeAndShape(this->p_, &output));
  return TensorTypeAndShapeInfo{output};
}

template <typename T>
inline ConstMemoryInfo ConstValueImpl<T>::GetTensorMemoryInfo() const {
  const OrtMemoryInfo* mem_info;
  ThrowOnError(GetApi().GetTensorMemoryInfo(this->p_, &mem_info));
  return ConstMemoryInfo(mem_info);
}

template <typename T>
inline void ConstValueImpl<T>::GetStringTensorElement(size_t buffer_length, size_t element_index, void* buffer) const {
  ThrowOnError(GetApi().GetStringTensorElement(this->p_, buffer_length, element_index, buffer));
}

template <typename T>
inline std::string ConstValueImpl<T>::GetStringTensorElement(size_t element_index) const {
  size_t buffer_length;
  ThrowOnError(GetApi().GetStringTensorElementLength(this->p_, element_index, &buffer_length));

  std::string s;
  s.resize(buffer_length);
  ThrowOnError(GetApi().GetStringTensorElement(this->p_, buffer_length, element_index, &s[0]));
  return s;
}

template <typename T>
inline void ConstValueImpl<T>::GetStringTensorContent(void* buffer, size_t buffer_length, size_t* offsets, size_t offsets_count) const {
  ThrowOnError(GetApi().GetStringTensorContent(this->p_, buffer, buffer_length, offsets, offsets_count));
}

#if !defined(DISABLE_SPARSE_TENSORS)
template <typename T>
inline OrtSparseFormat ConstValueImpl<T>::GetSparseFormat() const {
  OrtSparseFormat format;
  ThrowOnError(GetApi().GetSparseTensorFormat(this->p_, &format));
  return format;
}

template <typename T>
inline TensorTypeAndShapeInfo ConstValueImpl<T>::GetSparseTensorValuesTypeAndShapeInfo() const {
  OrtTensorTypeAndShapeInfo* output;
  ThrowOnError(GetApi().GetSparseTensorValuesTypeAndShape(this->p_, &output));
  return TensorTypeAndShapeInfo{output};
}

template <typename T>
inline TensorTypeAndShapeInfo ConstValueImpl<T>::GetSparseTensorIndicesTypeShapeInfo(OrtSparseIndicesFormat indices_format) const {
  OrtTensorTypeAndShapeInfo* output;
  ThrowOnError(GetApi().GetSparseTensorIndicesTypeShape(this->p_, indices_format, &output));
  return TensorTypeAndShapeInfo{output};
}

template <typename T>
template <typename R>
inline const R* ConstValueImpl<T>::GetSparseTensorIndicesData(OrtSparseIndicesFormat indices_format, size_t& num_indices) const {
  const void* out;
  ThrowOnError(GetApi().GetSparseTensorIndices(this->p_, indices_format, &num_indices, &out));
  return reinterpret_cast<const R*>(out);
}

template <typename T>
inline bool ConstValueImpl<T>::IsSparseTensor() const {
  int out;
  ThrowOnError(GetApi().IsSparseTensor(this->p_, &out));
  return out != 0;
}

template <typename T>
template <typename R>
inline const R* ConstValueImpl<T>::GetSparseTensorValues() const {
  const void* out;
  ThrowOnError(GetApi().GetSparseTensorValues(this->p_, &out));
  return reinterpret_cast<const R*>(out);
}

#endif

template <typename T>
void ValueImpl<T>::FillStringTensor(const char* const* s, size_t s_len) {
  ThrowOnError(GetApi().FillStringTensor(this->p_, s, s_len));
}

template <typename T>
void ValueImpl<T>::FillStringTensorElement(const char* s, size_t index) {
  ThrowOnError(GetApi().FillStringTensorElement(this->p_, s, index));
}

template <typename T>
inline char* ValueImpl<T>::GetResizedStringTensorElementBuffer(size_t index, size_t buffer_length) {
  char* result;
  ThrowOnError(GetApi().GetResizedStringTensorElementBuffer(this->p_, index, buffer_length, &result));
  return result;
}

template <typename T>
void* ValueImpl<T>::GetTensorMutableRawData() {
  void* out;
  ThrowOnError(GetApi().GetTensorMutableData(this->p_, &out));
  return out;
}

template <typename T>
template <typename R>
R* ValueImpl<T>::GetTensorMutableData() {
  R* out;
  ThrowOnError(GetApi().GetTensorMutableData(this->p_, (void**)&out));
  return out;
}

template <typename T>
template <typename R>
R& ValueImpl<T>::At(const std::vector<int64_t>& location) {
  static_assert(!std::is_same<T, std::string>::value, "this api does not support std::string");
  R* out;
  ThrowOnError(GetApi().TensorAt(this->p_, location.data(), location.size(), (void**)&out));
  return *out;
}

#if !defined(DISABLE_SPARSE_TENSORS)
template <typename T>
void ValueImpl<T>::UseCooIndices(int64_t* indices_data, size_t indices_num) {
  ThrowOnError(GetApi().UseCooIndices(this->p_, indices_data, indices_num));
}

template <typename T>
void ValueImpl<T>::UseCsrIndices(int64_t* inner_data, size_t inner_num, int64_t* outer_data, size_t outer_num) {
  ThrowOnError(GetApi().UseCsrIndices(this->p_, inner_data, inner_num, outer_data, outer_num));
}

template <typename T>
void ValueImpl<T>::UseBlockSparseIndices(const Shape& indices_shape, int32_t* indices_data) {
  ThrowOnError(GetApi().UseBlockSparseIndices(this->p_, indices_shape.shape, indices_shape.shape_len, indices_data));
}

template <typename T>
void ValueImpl<T>::FillSparseTensorCoo(const OrtMemoryInfo* mem_info, const OrtSparseValuesParam& values_param,
                                       const int64_t* indices_data, size_t indices_num) {
  ThrowOnError(GetApi().FillSparseTensorCoo(this->p_, mem_info, values_param.values_shape,
                                            values_param.values_shape_len, values_param.data.p_data,
                                            indices_data, indices_num));
}

template <typename T>
void ValueImpl<T>::FillSparseTensorCsr(const OrtMemoryInfo* data_mem_info,
                                       const OrtSparseValuesParam& values,
                                       const int64_t* inner_indices_data, size_t inner_indices_num,
                                       const int64_t* outer_indices_data, size_t outer_indices_num) {
  ThrowOnError(GetApi().FillSparseTensorCsr(this->p_, data_mem_info, values.values_shape, values.values_shape_len, values.data.p_data,
                                            inner_indices_data, inner_indices_num,
                                            outer_indices_data, outer_indices_num));
}

template <typename T>
void ValueImpl<T>::FillSparseTensorBlockSparse(const OrtMemoryInfo* data_mem_info,
                                               const OrtSparseValuesParam& values,
                                               const Shape& indices_shape,
                                               const int32_t* indices_data) {
  ThrowOnError(GetApi().FillSparseTensorBlockSparse(this->p_, data_mem_info, values.values_shape, values.values_shape_len, values.data.p_data,
                                                    indices_shape.shape, indices_shape.shape_len,
                                                    indices_data));
}

#endif  // !defined(DISABLE_SPARSE_TENSORS)

}  // namespace detail

template <typename T>
inline Value Value::CreateTensor(const OrtMemoryInfo* info, T* p_data, size_t p_data_element_count, const int64_t* shape, size_t shape_len) {
  return CreateTensor(info, p_data, p_data_element_count * sizeof(T), shape, shape_len, TypeToTensorType<T>::type);
}

inline Value Value::CreateTensor(const OrtMemoryInfo* info, void* p_data, size_t p_data_byte_count, const int64_t* shape, size_t shape_len,
                                 ONNXTensorElementDataType type) {
  OrtValue* out;
  ThrowOnError(GetApi().CreateTensorWithDataAsOrtValue(info, p_data, p_data_byte_count, shape, shape_len, type, &out));
  return Value{out};
}

template <typename T>
inline Value Value::CreateTensor(OrtAllocator* allocator, const int64_t* shape, size_t shape_len) {
  return CreateTensor(allocator, shape, shape_len, TypeToTensorType<T>::type);
}

inline Value Value::CreateTensor(OrtAllocator* allocator, const int64_t* shape, size_t shape_len, ONNXTensorElementDataType type) {
  OrtValue* out;
  ThrowOnError(GetApi().CreateTensorAsOrtValue(allocator, shape, shape_len, type, &out));
  return Value{out};
}

#if !defined(DISABLE_SPARSE_TENSORS)

template <typename T>
inline Value Value::CreateSparseTensor(const OrtMemoryInfo* info, T* p_data, const Shape& dense_shape,
                                       const Shape& values_shape) {
  return CreateSparseTensor(info, p_data, dense_shape, values_shape, TypeToTensorType<T>::type);
}

inline Value Value::CreateSparseTensor(const OrtMemoryInfo* info, void* p_data, const Shape& dense_shape,
                                       const Shape& values_shape, ONNXTensorElementDataType type) {
  OrtValue* out;
  ThrowOnError(GetApi().CreateSparseTensorWithValuesAsOrtValue(info, p_data, dense_shape.shape, dense_shape.shape_len,
                                                               values_shape.shape, values_shape.shape_len, type, &out));
  return Value{out};
}

template <typename T>
inline Value Value::CreateSparseTensor(OrtAllocator* allocator, const Shape& dense_shape) {
  return CreateSparseTensor(allocator, dense_shape, TypeToTensorType<T>::type);
}

inline Value Value::CreateSparseTensor(OrtAllocator* allocator, const Shape& dense_shape,
                                       ONNXTensorElementDataType type) {
  OrtValue* out;
  ThrowOnError(GetApi().CreateSparseTensorAsOrtValue(allocator, dense_shape.shape, dense_shape.shape_len, type, &out));
  return Value{out};
}
#endif  // !defined(DISABLE_SPARSE_TENSORS)

inline Value Value::CreateMap(const Value& keys, const Value& values) {
  OrtValue* out;
  const OrtValue* inputs[2] = {keys, values};
  ThrowOnError(GetApi().CreateValue(inputs, 2, ONNX_TYPE_MAP, &out));
  return Value{out};
}

inline Value Value::CreateSequence(const std::vector<Value>& values) {
  OrtValue* out;
  std::vector<const OrtValue*> values_ort{values.data(), values.data() + values.size()};
  ThrowOnError(GetApi().CreateValue(values_ort.data(), values_ort.size(), ONNX_TYPE_SEQUENCE, &out));
  return Value{out};
}

template <typename T>
inline Value Value::CreateOpaque(const char* domain, const char* type_name, const T& data_container) {
  OrtValue* out;
  ThrowOnError(GetApi().CreateOpaqueValue(domain, type_name, &data_container, sizeof(T), &out));
  return Value{out};
}

//
// Custom OP Inlines
//
inline Logger::Logger(const OrtLogger* logger) : logger_(logger) {
  Ort::ThrowOnError(GetApi().Logger_GetLoggingSeverityLevel(this->logger_, &this->cached_severity_level_));
}

inline OrtLoggingLevel Logger::GetLoggingSeverityLevel() const noexcept {
  return cached_severity_level_;
}

inline Status Logger::LogMessage(OrtLoggingLevel log_severity_level, const ORTCHAR_T* file_path, int line_number,
                                 const char* func_name, const char* message) const noexcept {
  OrtStatus* status = GetApi().Logger_LogMessage(logger_, log_severity_level, message, file_path, line_number,
                                                 func_name);
  return Status{status};
}

// Disable warnings about the format string not being a literal (-Wformat-nonliteral and -Wformat-security)
// for gcc and clang. The alternative is to use actual C-style variadic parameters and apply
// __attribute__(format(printf...)), which does not work with variadic templates.
#if defined(__GNUC__)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wformat-nonliteral"
#pragma GCC diagnostic ignored "-Wformat-security"
#elif defined(__clang__)
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wformat-nonliteral"
#pragma clang diagnostic ignored "-Wformat-security"
#endif
template <typename... Args>
inline Status Logger::LogFormattedMessage(OrtLoggingLevel log_severity_level, const ORTCHAR_T* file_path,
                                          int line_number, const char* func_name, const char* format,
                                          Args&&... args) const noexcept {
  int msg_len = std::snprintf(nullptr, 0U, format, std::forward<Args>(args)...);

  if (msg_len < 0) {  // Formatting error
    return Status("Failed to log message due to formatting error", OrtErrorCode::ORT_FAIL);
  }

  OrtStatus* status = nullptr;
  const size_t buffer_size = static_cast<size_t>(msg_len) + 1U;

  constexpr size_t kStackBufferSize = 1024;

  if (buffer_size < kStackBufferSize) {
    char buffer[kStackBufferSize];
    snprintf(buffer, kStackBufferSize, format, std::forward<Args>(args)...);
    status = GetApi().Logger_LogMessage(logger_, log_severity_level, buffer, file_path, line_number, func_name);
  } else {
    // std::make_unique is only supported starting at C++14.
#if (__cplusplus >= 201402L) || (_MSC_VER >= 1900)
    auto buffer = std::make_unique<char[]>(buffer_size);
#else
    std::unique_ptr<char[]> buffer(new char[buffer_size]);
#endif
    std::snprintf(buffer.get(), buffer_size, format, std::forward<Args>(args)...);
    status = GetApi().Logger_LogMessage(logger_, log_severity_level, buffer.get(), file_path, line_number, func_name);
  }

  return Status{status};
}
// Re-enable -Wformat-nonliteral and -Wformat-security
#if defined(__GNUC__)
#pragma GCC diagnostic pop
#elif defined(__clang__)
#pragma clang diagnostic pop
#endif

inline KernelContext::KernelContext(OrtKernelContext* context) : ctx_(context) {
}

inline size_t KernelContext::GetInputCount() const {
  size_t out = 0;
  Ort::ThrowOnError(GetApi().KernelContext_GetInputCount(ctx_, &out));
  return out;
}

inline size_t KernelContext::GetOutputCount() const {
  size_t out = 0;
  Ort::ThrowOnError(GetApi().KernelContext_GetOutputCount(ctx_, &out));
  return out;
}

inline ConstValue KernelContext::GetInput(size_t index) const {
  const OrtValue* out = nullptr;
  Ort::ThrowOnError(GetApi().KernelContext_GetInput(ctx_, index, &out));
  return ConstValue{out};
}

inline UnownedValue KernelContext::GetOutput(size_t index, const int64_t* dim_values, size_t dim_count) const {
  OrtValue* out = nullptr;
  Ort::ThrowOnError(GetApi().KernelContext_GetOutput(ctx_, index, dim_values, dim_count, &out));
  return UnownedValue(out);
}

inline UnownedValue KernelContext::GetOutput(size_t index, const std::vector<int64_t>& dims) const {
  OrtValue* out = nullptr;
  Ort::ThrowOnError(GetApi().KernelContext_GetOutput(ctx_, index, dims.data(), dims.size(), &out));
  return UnownedValue(out);
}

inline void* KernelContext::GetGPUComputeStream() const {
  void* out = nullptr;
  Ort::ThrowOnError(GetApi().KernelContext_GetGPUComputeStream(ctx_, &out));
  return out;
}

inline OrtAllocator* KernelContext::GetAllocator(const OrtMemoryInfo& memory_info) const {
  OrtAllocator* out = nullptr;
  Ort::ThrowOnError(GetApi().KernelContext_GetAllocator(ctx_, &memory_info, &out));
  return out;
}

inline Logger KernelContext::GetLogger() const {
  const OrtLogger* out = nullptr;
  ThrowOnError(GetApi().KernelContext_GetLogger(this->ctx_, &out));
  return Logger{out};
}

inline void KernelContext::ParallelFor(void (*fn)(void*, size_t), size_t total, size_t num_batch, void* usr_data) const {
  ThrowOnError(GetApi().KernelContext_ParallelFor(ctx_, fn, total, num_batch, usr_data));
}

inline OpAttr::OpAttr(const char* name, const void* data, int len, OrtOpAttrType type) {
  Ort::ThrowOnError(GetApi().CreateOpAttr(name, data, len, type, &p_));
}

namespace detail {
template <typename T>
inline KernelInfo KernelInfoImpl<T>::Copy() const {
  OrtKernelInfo* info_copy = nullptr;
  Ort::ThrowOnError(GetApi().CopyKernelInfo(this->p_, &info_copy));
  return KernelInfo{info_copy};
}

template <typename T>
inline size_t KernelInfoImpl<T>::GetInputCount() const {
  size_t out = 0;
  ThrowOnError(GetApi().KernelInfo_GetInputCount(this->p_, &out));
  return out;
}

template <typename T>
inline size_t KernelInfoImpl<T>::GetOutputCount() const {
  size_t out = 0;
  ThrowOnError(GetApi().KernelInfo_GetOutputCount(this->p_, &out));
  return out;
}

template <typename T>
inline std::string KernelInfoImpl<T>::GetInputName(size_t index) const {
  size_t size = 0;

  // Feed nullptr for the data buffer to query the true size of the string value
  Ort::ThrowOnError(GetApi().KernelInfo_GetInputName(this->p_, index, nullptr, &size));

  std::string out;
  out.resize(size);
  Ort::ThrowOnError(GetApi().KernelInfo_GetInputName(this->p_, index, &out[0], &size));
  out.resize(size - 1);  // remove the terminating character '\0'

  return out;
}

template <typename T>
inline std::string KernelInfoImpl<T>::GetOutputName(size_t index) const {
  size_t size = 0;

  // Feed nullptr for the data buffer to query the true size of the string value
  Ort::ThrowOnError(GetApi().KernelInfo_GetOutputName(this->p_, index, nullptr, &size));

  std::string out;
  out.resize(size);
  Ort::ThrowOnError(GetApi().KernelInfo_GetOutputName(this->p_, index, &out[0], &size));
  out.resize(size - 1);  // remove the terminating character '\0'

  return out;
}

template <typename T>
inline TypeInfo KernelInfoImpl<T>::GetInputTypeInfo(size_t index) const {
  OrtTypeInfo* out = nullptr;
  ThrowOnError(GetApi().KernelInfo_GetInputTypeInfo(this->p_, index, &out));
  return TypeInfo{out};
}

template <typename T>
inline TypeInfo KernelInfoImpl<T>::GetOutputTypeInfo(size_t index) const {
  OrtTypeInfo* out = nullptr;
  ThrowOnError(GetApi().KernelInfo_GetOutputTypeInfo(this->p_, index, &out));
  return TypeInfo{out};
}

template <typename T>
inline Value KernelInfoImpl<T>::GetTensorAttribute(const char* name, OrtAllocator* allocator) const {
  OrtValue* out = nullptr;
  ThrowOnError(GetApi().KernelInfoGetAttribute_tensor(this->p_, name, allocator, &out));
  return Value{out};
}

template <typename T>
inline ConstValue KernelInfoImpl<T>::GetTensorConstantInput(size_t index, int* is_constant) const {
  const OrtValue* out = nullptr;
  ThrowOnError(GetApi().KernelInfoGetConstantInput_tensor(this->p_, index, is_constant, &out));
  return ConstValue{out};
}

template <typename T>
inline std::string KernelInfoImpl<T>::GetNodeName() const {
  size_t size = 0;

  // Feed nullptr for the data buffer to query the true size of the string value
  Ort::ThrowOnError(GetApi().KernelInfo_GetNodeName(this->p_, nullptr, &size));

  std::string out;
  out.resize(size);
  Ort::ThrowOnError(GetApi().KernelInfo_GetNodeName(this->p_, &out[0], &size));
  out.resize(size - 1);  // remove the terminating character '\0'

  return out;
}

template <typename T>
inline Logger KernelInfoImpl<T>::GetLogger() const {
  const OrtLogger* out = nullptr;
  ThrowOnError(GetApi().KernelInfo_GetLogger(this->p_, &out));
  return Logger{out};
}

inline void attr_utils::GetAttr(const OrtKernelInfo* p, const char* name, float& out) {
  Ort::ThrowOnError(GetApi().KernelInfoGetAttribute_float(p, name, &out));
}

inline void attr_utils::GetAttr(const OrtKernelInfo* p, const char* name, int64_t& out) {
  Ort::ThrowOnError(GetApi().KernelInfoGetAttribute_int64(p, name, &out));
}

inline void attr_utils::GetAttr(const OrtKernelInfo* p, const char* name, std::string& result) {
  size_t size = 0;
  // Feed nullptr for the data buffer to query the true size of the string attribute
  Ort::ThrowOnError(GetApi().KernelInfoGetAttribute_string(p, name, nullptr, &size));

  std::string out;
  out.resize(size);
  Ort::ThrowOnError(GetApi().KernelInfoGetAttribute_string(p, name, &out[0], &size));
  out.resize(size - 1);  // remove the terminating character '\0'
  out.swap(result);
}

inline void attr_utils::GetAttrs(const OrtKernelInfo* p, const char* name, std::vector<float>& result) {
  size_t size = 0;
  // Feed nullptr for the data buffer to query the true size of the attribute
  Ort::ThrowOnError(GetApi().KernelInfoGetAttributeArray_float(p, name, nullptr, &size));

  std::vector<float> out;
  out.resize(size);
  Ort::ThrowOnError(GetApi().KernelInfoGetAttributeArray_float(p, name, out.data(), &size));
  out.swap(result);
}

inline void attr_utils::GetAttrs(const OrtKernelInfo* p, const char* name, std::vector<int64_t>& result) {
  size_t size = 0;

  // Feed nullptr for the data buffer to query the true size of the attribute
  Ort::ThrowOnError(GetApi().KernelInfoGetAttributeArray_int64(p, name, nullptr, &size));

  std::vector<int64_t> out;
  out.resize(size);
  Ort::ThrowOnError(GetApi().KernelInfoGetAttributeArray_int64(p, name, out.data(), &size));
  out.swap(result);
}
}  // namespace detail

inline KernelInfo::KernelInfo(OrtKernelInfo* info) : detail::KernelInfoImpl<OrtKernelInfo>{info} {}

inline Op::Op(OrtOp* p) : Base<OrtOp>(p) {}

inline Op Op::Create(const OrtKernelInfo* info, const char* op_name, const char* domain, int version,
                     const char** type_constraint_names,
                     const ONNXTensorElementDataType* type_constraint_values,
                     size_t type_constraint_count,
                     const OpAttr* attr_values, size_t attr_count,
                     size_t input_count, size_t output_count) {
  static_assert(sizeof(OpAttr) == sizeof(OrtOpAttr*),
                "OpAttr's is expected to be just an array of OrtOpAttr in memory so we can reinterpret safely");
  auto attr_input_values = reinterpret_cast<const OrtOpAttr* const*>(attr_values);
  OrtOp* op;
  Ort::ThrowOnError(GetApi().CreateOp(info, op_name, domain, version, type_constraint_names, type_constraint_values,
                                      static_cast<int>(type_constraint_count),
                                      attr_input_values,
                                      static_cast<int>(attr_count),
                                      static_cast<int>(input_count),
                                      static_cast<int>(output_count), &op));
  return Op{op};
}

inline void Op::Invoke(const OrtKernelContext* context,
                       const Value* input_values,
                       size_t input_count,
                       Value* output_values,
                       size_t output_count) {
  static_assert(sizeof(Value) == sizeof(OrtValue*),
                "Value is really just an array of OrtValue* in memory, so we can reinterpret_cast safely");
  auto ort_input_values = reinterpret_cast<const OrtValue* const*>(input_values);
  auto ort_output_values = reinterpret_cast<OrtValue**>(output_values);
  Ort::ThrowOnError(GetApi().InvokeOp(context, p_, ort_input_values, static_cast<int>(input_count),
                                      ort_output_values, static_cast<int>(output_count)));
}

inline void Op::Invoke(const OrtKernelContext* context,
                       const OrtValue* const* input_values,
                       size_t input_count,
                       OrtValue* const* output_values,
                       size_t output_count) {
  Ort::ThrowOnError(GetApi().InvokeOp(context, p_, input_values, static_cast<int>(input_count),
                                      output_values, static_cast<int>(output_count)));
}

inline std::string GetVersionString() {
  return OrtGetApiBase()->GetVersionString();
}

inline std::string GetBuildInfoString() {
  return GetApi().GetBuildInfoString();
}

inline std::vector<std::string> GetAvailableProviders() {
  char** providers;
  int len;

  auto release_fn = [&len](char** providers) {
    // This should always return nullptr.
    ThrowOnError(GetApi().ReleaseAvailableProviders(providers, len));
  };

  ThrowOnError(GetApi().GetAvailableProviders(&providers, &len));
  std::unique_ptr<char*, decltype(release_fn)> guard(providers, release_fn);
  std::vector<std::string> available_providers;
  available_providers.reserve(static_cast<size_t>(len));
  for (int i = 0; i < len; ++i) {
    available_providers.emplace_back(providers[i]);
  }
  return available_providers;
}

template <typename TOp, typename TKernel, bool WithStatus>
void CustomOpBase<TOp, TKernel, WithStatus>::GetSessionConfigs(std::unordered_map<std::string, std::string>& out,
                                                               ConstSessionOptions options) const {
  const TOp* derived = static_cast<const TOp*>(this);
  std::vector<std::string> keys = derived->GetSessionConfigKeys();

  out.reserve(keys.size());

  std::string config_entry_key = detail::MakeCustomOpConfigEntryKey(derived->GetName(), "");
  const size_t prefix_size = config_entry_key.length();

  for (const auto& key : keys) {
    config_entry_key.resize(prefix_size);
    config_entry_key.append(key);
    out[key] = options.GetConfigEntryOrDefault(config_entry_key.c_str(), "");
  }
}

inline ShapeInferContext::ShapeInferContext(const OrtApi* ort_api,
                                            OrtShapeInferContext* ctx) : ort_api_(ort_api), ctx_(ctx) {
  size_t input_count = 0;
  Ort::ThrowOnError(ort_api_->ShapeInferContext_GetInputCount(ctx_, &input_count));
  for (size_t ith_input = 0; ith_input < input_count; ++ith_input) {
    OrtTensorTypeAndShapeInfo* info{};
    Ort::ThrowOnError(ort_api_->ShapeInferContext_GetInputTypeShape(ctx, ith_input, &info));
    TensorTypeAndShapeInfo type_shape_info(info);
    auto integer_shape = type_shape_info.GetShape();
    std::vector<const char*> symbolic_shape(integer_shape.size(), {});
    if (!integer_shape.empty()) {
      type_shape_info.GetSymbolicDimensions(&symbolic_shape[0], integer_shape.size());
    }
    Shape shape;
    for (size_t ith = 0; ith < integer_shape.size(); ++ith) {
      if (symbolic_shape[ith] && std::string{symbolic_shape[ith]}.size() > 0) {
        shape.emplace_back(symbolic_shape[ith]);
      } else {
        shape.emplace_back(integer_shape[ith]);
      }
    }
    input_shapes_.push_back(std::move(shape));
    type_shape_info.release();
  }
}

inline Status ShapeInferContext::SetOutputShape(size_t indice, const Shape& shape, ONNXTensorElementDataType type) {
  OrtTensorTypeAndShapeInfo* info = {};
  ORT_CXX_RETURN_ON_API_FAIL(ort_api_->CreateTensorTypeAndShapeInfo(&info));
  ORT_CXX_RETURN_ON_API_FAIL(ort_api_->SetTensorElementType(info, type));

  using InfoPtr = std::unique_ptr<OrtTensorTypeAndShapeInfo, std::function<void(OrtTensorTypeAndShapeInfo*)>>;

  InfoPtr info_ptr(info, [this](OrtTensorTypeAndShapeInfo* obj) {
    ort_api_->ReleaseTensorTypeAndShapeInfo(obj);
  });

  std::vector<int64_t> integer_dims;
  std::vector<const char*> symbolic_dims;

  for (const auto dim : shape) {
    if (dim.IsInt()) {
      integer_dims.push_back(dim.AsInt());
      symbolic_dims.push_back("");
    } else {
      if (!dim.AsSym() || std::string{dim.AsSym()}.empty()) {
        ORT_CXX_API_THROW("Symbolic dim must not be an empty string", ORT_INVALID_ARGUMENT);
      }
      integer_dims.push_back(SymbolicInteger::INVALID_INT_DIM);
      symbolic_dims.push_back(dim.AsSym());
    }
  }

  ORT_CXX_RETURN_ON_API_FAIL(ort_api_->SetDimensions(info, integer_dims.data(), integer_dims.size()));
  ORT_CXX_RETURN_ON_API_FAIL(ort_api_->SetSymbolicDimensions(info, symbolic_dims.data(), symbolic_dims.size()));
  ORT_CXX_RETURN_ON_API_FAIL(ort_api_->ShapeInferContext_SetOutputTypeShape(ctx_, indice, info));
  return Status{nullptr};
}

inline int64_t ShapeInferContext::GetAttrInt(const char* attr_name) {
  const auto* attr = GetAttrHdl(attr_name);
  int64_t i = {};
  size_t out = {};
  Ort::ThrowOnError(ort_api_->ReadOpAttr(attr, ORT_OP_ATTR_INT, &i, sizeof(i), &out));
  return i;
}

inline ShapeInferContext::Ints ShapeInferContext::GetAttrInts(const char* attr_name) {
  const auto* attr = GetAttrHdl(attr_name);
  int64_t i = {};
  size_t out = {};
  // first call to get the bytes needed
  // 1. A status == nullptr means that ReadOpAttr was successful. A status != nullptr means failure.
  // 2. The ReadOpAttr function should normally be called twice: once to get the needed buffer size (returns a status != nullptr), and a second time to actually read the ints (returns status == null on success).
  // 3. This code tries a subtle optimization in the first call to ReadOpAttr. It passes in a buffer (&i) of size 1 just in case there is only 1 int. In this case, status == nullptr and we need to return {i}.
  auto status = ort_api_->ReadOpAttr(attr, ORT_OP_ATTR_INTS, &i, sizeof(i), &out);
  if (status) {
    size_t num_i = out / sizeof(int64_t);
    ShapeInferContext::Ints ints(num_i, 0);
    Ort::ThrowOnError(ort_api_->ReadOpAttr(attr, ORT_OP_ATTR_INTS, ints.data(), out, &out));
    return ints;
  } else {
    if (out == 0u) {
      return {};
    }
    return {i};
  }
}

inline float ShapeInferContext::GetAttrFloat(const char* attr_name) {
  const auto* attr = GetAttrHdl(attr_name);
  float f = {};
  size_t out = {};
  Ort::ThrowOnError(ort_api_->ReadOpAttr(attr, ORT_OP_ATTR_FLOAT, &f, sizeof(f), &out));
  return f;
}

inline ShapeInferContext::Floats ShapeInferContext::GetAttrFloats(const char* attr_name) {
  const auto* attr = GetAttrHdl(attr_name);
  float f = {};
  size_t out = {};
  // first call to get the bytes needed
  // 1. A status == nullptr means that ReadOpAttr was successful. A status != nullptr means failure.
  // 2. The ReadOpAttr function should normally be called twice: once to get the needed buffer size (returns a status != nullptr), and a second time to actually read the ints (returns status == null on success).
  // 3. This code tries a subtle optimization in the first call to ReadOpAttr. It passes in a buffer (&i) of size 1 just in case there is only 1 int. In this case, status == nullptr and we need to return {i}.
  auto status = ort_api_->ReadOpAttr(attr, ORT_OP_ATTR_FLOATS, &f, sizeof(f), &out);
  if (status) {
    size_t num_f = out / sizeof(float);
    ShapeInferContext::Floats floats(num_f, 0);
    Ort::ThrowOnError(ort_api_->ReadOpAttr(attr, ORT_OP_ATTR_FLOATS, floats.data(), out, &out));
    return floats;
  } else {
    if (out == 0u) {
      return {};
    }
    return {f};
  }
}

inline std::string ShapeInferContext::GetAttrString(const char* attr_name) {
  const auto* attr = GetAttrHdl(attr_name);
  char c = {};
  size_t out = {};
  // first call to get the bytes needed
  auto status = ort_api_->ReadOpAttr(attr, ORT_OP_ATTR_STRING, &c, sizeof(char), &out);
  if (status) {
    std::vector<char> chars(out, '\0');
    Ort::ThrowOnError(ort_api_->ReadOpAttr(attr, ORT_OP_ATTR_STRING, chars.data(), out, &out));
    return {chars.data()};
  } else {
    return {c};
  }
}

inline ShapeInferContext::Strings ShapeInferContext::GetAttrStrings(const char* attr_name) {
  const auto* attr = GetAttrHdl(attr_name);
  char c = {};
  size_t out = {};
  // first call to get the bytes needed
  // 1. A status == nullptr means that ReadOpAttr was successful. A status != nullptr means failure.
  // 2. The ReadOpAttr function should normally be called twice: once to get the needed buffer size (returns a status != nullptr), and a second time to actually read the ints (returns status == null on success).
  // 3. This code tries a subtle optimization in the first call to ReadOpAttr. It passes in a buffer (&i) of size 1 just in case there is only 1 int. In this case, status == nullptr and we need to return {i}.
  auto status = ort_api_->ReadOpAttr(attr, ORT_OP_ATTR_STRINGS, &c, sizeof(char), &out);
  if (status) {
    std::vector<char> chars(out, '\0');
    Ort::ThrowOnError(ort_api_->ReadOpAttr(attr, ORT_OP_ATTR_STRINGS, chars.data(), out, &out));
    ShapeInferContext::Strings strings;
    char* char_st = chars.data();
    char* char_ed = char_st + out;
    while (char_st < char_ed) {
      strings.emplace_back(char_st);
      while (*char_st != '\0') {
        char_st++;
      }
      char_st++;
    }
    return strings;
  } else {
    if (out == 0u) {
      return {};
    }
    return {std::string{c}};
  }
}

inline const OrtOpAttr* ShapeInferContext::GetAttrHdl(const char* attr_name) const {
  const OrtOpAttr* attr_hdl = {};
  Ort::ThrowOnError(ort_api_->ShapeInferContext_GetAttribute(ctx_, attr_name, &attr_hdl));
  return attr_hdl;
}

}  // namespace Ort
