Add onnxruntime.xcframework 1.15.0

1.15.0/onnxruntime.xcframework/Headers/coreml_provider_factory.h

@@ -0,0 +1,41 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+#pragma once
+
+#include "onnxruntime_c_api.h"
+
+// COREMLFlags are bool options we want to set for CoreML EP
+// This enum is defined as bit flags, and cannot have negative value
+// To generate an uint32_t coreml_flags for using with OrtSessionOptionsAppendExecutionProvider_CoreML below,
+//   uint32_t coreml_flags = 0;
+//   coreml_flags |= COREML_FLAG_USE_CPU_ONLY;
+enum COREMLFlags {
+  COREML_FLAG_USE_NONE = 0x000,
+
+  // Using CPU only in CoreML EP, this may decrease the perf but will provide
+  // reference output value without precision loss, which is useful for validation
+  COREML_FLAG_USE_CPU_ONLY = 0x001,
+
+  // Enable CoreML EP on subgraph
+  COREML_FLAG_ENABLE_ON_SUBGRAPH = 0x002,
+
+  // By default CoreML Execution provider will be enabled for all compatible Apple devices
+  // Enable this option will only enable CoreML EP for Apple devices with ANE (Apple Neural Engine)
+  // Please note, enable this option does not guarantee the entire model to be executed using ANE only
+  COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE = 0x004,
+
+  // Keep COREML_FLAG_MAX at the end of the enum definition
+  // And assign the last COREMLFlag to it
+  COREML_FLAG_LAST = COREML_FLAG_ONLY_ENABLE_DEVICE_WITH_ANE,
+};
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+ORT_EXPORT ORT_API_STATUS(OrtSessionOptionsAppendExecutionProvider_CoreML,
+                          _In_ OrtSessionOptions* options, uint32_t coreml_flags);
+
+#ifdef __cplusplus
+}
+#endif

1.15.0/onnxruntime.xcframework/Headers/cpu_provider_factory.h

@@ -0,0 +1,19 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+#include "onnxruntime_c_api.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/**
+ * \param use_arena zero: false. non-zero: true.
+ */
+ORT_EXPORT
+ORT_API_STATUS(OrtSessionOptionsAppendExecutionProvider_CPU, _In_ OrtSessionOptions* options, int use_arena)
+ORT_ALL_ARGS_NONNULL;
+
+#ifdef __cplusplus
+}
+#endif

1.15.0/onnxruntime.xcframework/Headers/onnxruntime_cxx_inline.h

@@ -0,0 +1,2035 @@
+// 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.
+
+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;
+};
+
+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 CustomOpDomain::CustomOpDomain(const char* domain) {
+  ThrowOnError(GetApi().CreateCustomOpDomain(domain, &p_));
+}
+
+inline void CustomOpDomain::Add(const OrtCustomOp* op) {
+  ThrowOnError(GetApi().CustomOpDomain_Add(p_, op));
+}
+
+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;
+}
+
+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>::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>::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>::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 AllocatedStringPtr SessionImpl<T>::EndProfilingAllocated(OrtAllocator* allocator) {
+  char* out = nullptr;
+  ThrowOnError(GetApi().SessionEndProfiling(this->p_, allocator, &out));
+  return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
+}
+
+}  // 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(Value& keys, Value& values) {
+  OrtValue* out;
+  OrtValue* inputs[2] = {keys, values};
+  ThrowOnError(GetApi().CreateValue(inputs, 2, ONNX_TYPE_MAP, &out));
+  return Value{out};
+}
+
+inline Value Value::CreateSequence(std::vector<Value>& values) {
+  OrtValue* out;
+  std::vector<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 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 void CustomOpApi::ThrowOnError(OrtStatus* status) {
+  Ort::ThrowOnError(status);
+}
+
+template <>
+inline float CustomOpApi::KernelInfoGetAttribute<float>(_In_ const OrtKernelInfo* info, _In_ const char* name) {
+  float out;
+  Ort::ThrowOnError(api_.KernelInfoGetAttribute_float(info, name, &out));
+  return out;
+}
+
+template <>
+inline int64_t CustomOpApi::KernelInfoGetAttribute<int64_t>(_In_ const OrtKernelInfo* info, _In_ const char* name) {
+  int64_t out;
+  Ort::ThrowOnError(api_.KernelInfoGetAttribute_int64(info, name, &out));
+  return out;
+}
+
+template <>
+inline std::string CustomOpApi::KernelInfoGetAttribute<std::string>(_In_ const OrtKernelInfo* info, _In_ const char* name) {
+  size_t size = 0;
+  std::string out;
+
+  // Feed nullptr for the data buffer to query the true size of the string attribute
+  OrtStatus* status = api_.KernelInfoGetAttribute_string(info, name, nullptr, &size);
+
+  if (status == nullptr) {
+    out.resize(size);
+    Ort::ThrowOnError(api_.KernelInfoGetAttribute_string(info, name, &out[0], &size));
+    out.resize(size - 1);  // remove the terminating character '\0'
+  } else {
+    Ort::ThrowOnError(status);
+  }
+  return out;
+}
+
+template <>
+inline std::vector<float> CustomOpApi::KernelInfoGetAttribute(_In_ const OrtKernelInfo* info, _In_ const char* name) {
+  size_t size = 0;
+  std::vector<float> out;
+
+  // Feed nullptr for the data buffer to query the true size of the attribute
+  OrtStatus* status = api_.KernelInfoGetAttributeArray_float(info, name, nullptr, &size);
+
+  if (status == nullptr) {
+    out.resize(size);
+    Ort::ThrowOnError(api_.KernelInfoGetAttributeArray_float(info, name, out.data(), &size));
+  } else {
+    Ort::ThrowOnError(status);
+  }
+  return out;
+}
+
+template <>
+inline std::vector<int64_t> CustomOpApi::KernelInfoGetAttribute(_In_ const OrtKernelInfo* info, _In_ const char* name) {
+  size_t size = 0;
+  std::vector<int64_t> out;
+
+  // Feed nullptr for the data buffer to query the true size of the attribute
+  OrtStatus* status = api_.KernelInfoGetAttributeArray_int64(info, name, nullptr, &size);
+
+  if (status == nullptr) {
+    out.resize(size);
+    Ort::ThrowOnError(api_.KernelInfoGetAttributeArray_int64(info, name, out.data(), &size));
+  } else {
+    Ort::ThrowOnError(status);
+  }
+  return out;
+}
+inline OrtTensorTypeAndShapeInfo* CustomOpApi::GetTensorTypeAndShape(_In_ const OrtValue* value) {
+  OrtTensorTypeAndShapeInfo* out;
+  Ort::ThrowOnError(api_.GetTensorTypeAndShape(value, &out));
+  return out;
+}
+
+inline size_t CustomOpApi::GetTensorShapeElementCount(_In_ const OrtTensorTypeAndShapeInfo* info) {
+  size_t out;
+  Ort::ThrowOnError(api_.GetTensorShapeElementCount(info, &out));
+  return out;
+}
+
+inline ONNXTensorElementDataType CustomOpApi::GetTensorElementType(const OrtTensorTypeAndShapeInfo* info) {
+  ONNXTensorElementDataType out;
+  Ort::ThrowOnError(api_.GetTensorElementType(info, &out));
+  return out;
+}
+
+inline size_t CustomOpApi::GetDimensionsCount(_In_ const OrtTensorTypeAndShapeInfo* info) {
+  size_t out;
+  Ort::ThrowOnError(api_.GetDimensionsCount(info, &out));
+  return out;
+}
+
+inline void CustomOpApi::GetDimensions(_In_ const OrtTensorTypeAndShapeInfo* info, _Out_ int64_t* dim_values, size_t dim_values_length) {
+  Ort::ThrowOnError(api_.GetDimensions(info, dim_values, dim_values_length));
+}
+
+inline void CustomOpApi::SetDimensions(OrtTensorTypeAndShapeInfo* info, _In_ const int64_t* dim_values, size_t dim_count) {
+  Ort::ThrowOnError(api_.SetDimensions(info, dim_values, dim_count));
+}
+
+template <typename T>
+inline T* CustomOpApi::GetTensorMutableData(_Inout_ OrtValue* value) {
+  T* data;
+  Ort::ThrowOnError(api_.GetTensorMutableData(value, reinterpret_cast<void**>(&data)));
+  return data;
+}
+
+inline const OrtMemoryInfo* CustomOpApi::GetTensorMemoryInfo(_In_ const OrtValue* value) {
+  const OrtMemoryInfo* mem_info;
+  Ort::ThrowOnError(api_.GetTensorMemoryInfo(value, &mem_info));
+  return mem_info;
+}
+
+template <typename T>
+inline const T* CustomOpApi::GetTensorData(_Inout_ const OrtValue* value) {
+  T* data = nullptr;
+  Ort::ThrowOnError(api_.GetTensorMutableData(const_cast<OrtValue*>(value), reinterpret_cast<void**>(&data)));
+  return data;
+}
+
+inline std::vector<int64_t> CustomOpApi::GetTensorShape(const OrtTensorTypeAndShapeInfo* info) {
+  size_t out;
+  Ort::ThrowOnError(api_.GetDimensionsCount(info, &out));
+  std::vector<int64_t> output(out);
+  Ort::ThrowOnError(api_.GetDimensions(info, output.data(), out));
+  return output;
+}
+
+inline void CustomOpApi::ReleaseTensorTypeAndShapeInfo(OrtTensorTypeAndShapeInfo* input) {
+  api_.ReleaseTensorTypeAndShapeInfo(input);
+}
+
+inline size_t CustomOpApi::KernelContext_GetInputCount(const OrtKernelContext* context) {
+  size_t out;
+  Ort::ThrowOnError(api_.KernelContext_GetInputCount(context, &out));
+  return out;
+}
+
+inline const OrtValue* CustomOpApi::KernelContext_GetInput(const OrtKernelContext* context, _In_ size_t index) {
+  const OrtValue* out;
+  Ort::ThrowOnError(api_.KernelContext_GetInput(context, index, &out));
+  return out;
+}
+
+inline size_t CustomOpApi::KernelContext_GetOutputCount(const OrtKernelContext* context) {
+  size_t out;
+  Ort::ThrowOnError(api_.KernelContext_GetOutputCount(context, &out));
+  return out;
+}
+
+inline OrtValue* CustomOpApi::KernelContext_GetOutput(OrtKernelContext* context, _In_ size_t index,
+                                                      _In_ const int64_t* dim_values, size_t dim_count) {
+  OrtValue* out;
+  Ort::ThrowOnError(api_.KernelContext_GetOutput(context, index, dim_values, dim_count, &out));
+  return out;
+}
+
+inline void* CustomOpApi::KernelContext_GetGPUComputeStream(const OrtKernelContext* context) {
+  void* out;
+  Ort::ThrowOnError(api_.KernelContext_GetGPUComputeStream(context, &out));
+  return out;
+}
+
+inline OrtOpAttr* CustomOpApi::CreateOpAttr(_In_ const char* name,
+                                            _In_ const void* data,
+                                            _In_ int len,
+                                            _In_ OrtOpAttrType type) {
+  OrtOpAttr* op_attr{};
+  Ort::ThrowOnError(api_.CreateOpAttr(name, data, len, type, &op_attr));
+  return op_attr;
+}
+
+inline void CustomOpApi::ReleaseOpAttr(_Frees_ptr_opt_ OrtOpAttr* op_attr) {
+  api_.ReleaseOpAttr(op_attr);
+}
+
+inline OrtOp* CustomOpApi::CreateOp(_In_ const OrtKernelInfo* info,
+                                    _In_z_ const char* op_name,
+                                    _In_z_ const char* domain,
+                                    int version,
+                                    _In_reads_(type_constraint_count) const char** type_constraint_names,
+                                    _In_reads_(type_constraint_count) const ONNXTensorElementDataType* type_constraint_values,
+                                    int type_constraint_count,
+                                    _In_reads_(attr_count) const OrtOpAttr* const* attr_values,
+                                    int attr_count,
+                                    int input_count,
+                                    int output_count) {
+  OrtOp* ort_op{};
+  Ort::ThrowOnError(api_.CreateOp(info, op_name, domain, version, type_constraint_names, type_constraint_values,
+                                  type_constraint_count, attr_values, attr_count, input_count, output_count, &ort_op));
+  return ort_op;
+}
+
+inline void CustomOpApi::InvokeOp(_In_ const OrtKernelContext* context,
+                                  _In_ const OrtOp* ort_op,
+                                  _In_ const OrtValue* const* input_values,
+                                  _In_ int input_count,
+                                  _Inout_ OrtValue* const* output_values,
+                                  _In_ int output_count) {
+  Ort::ThrowOnError(api_.InvokeOp(context, ort_op, input_values, input_count, output_values, output_count));
+}
+
+inline void CustomOpApi::ReleaseOp(_Frees_ptr_opt_ OrtOp* ort_op) {
+  api_.ReleaseOp(ort_op);
+}
+
+inline OrtKernelInfo* CustomOpApi::CopyKernelInfo(_In_ const OrtKernelInfo* info) {
+  OrtKernelInfo* info_copy{};
+  Ort::ThrowOnError(api_.CopyKernelInfo(info, &info_copy));
+  return info_copy;
+}
+
+inline void CustomOpApi::ReleaseKernelInfo(_Frees_ptr_opt_ OrtKernelInfo* info_copy) {
+  api_.ReleaseKernelInfo(info_copy);
+}
+
+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>
+void CustomOpBase<TOp, TKernel>::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(), "");
+  }
+}
+
+}  // namespace Ort

1.15.0/onnxruntime.xcframework/Info.plist

@@ -0,0 +1,40 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+<dict>
+	<key>AvailableLibraries</key>
+	<array>
+		<dict>
+			<key>LibraryIdentifier</key>
+			<string>ios-arm64_x86_64-simulator</string>
+			<key>LibraryPath</key>
+			<string>onnxruntime.a</string>
+			<key>SupportedArchitectures</key>
+			<array>
+				<string>arm64</string>
+				<string>x86_64</string>
+			</array>
+			<key>SupportedPlatform</key>
+			<string>ios</string>
+			<key>SupportedPlatformVariant</key>
+			<string>simulator</string>
+		</dict>
+		<dict>
+			<key>LibraryIdentifier</key>
+			<string>ios-arm64</string>
+			<key>LibraryPath</key>
+			<string>onnxruntime.a</string>
+			<key>SupportedArchitectures</key>
+			<array>
+				<string>arm64</string>
+			</array>
+			<key>SupportedPlatform</key>
+			<string>ios</string>
+		</dict>
+	</array>
+	<key>CFBundlePackageType</key>
+	<string>XFWK</string>
+	<key>XCFrameworkFormatVersion</key>
+	<string>1.0</string>
+</dict>
+</plist>

1.15.0/onnxruntime.xcframework/ios-arm64/libonnxruntime.a

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+onnxruntime.a

1.15.0/onnxruntime.xcframework/ios-arm64/onnxruntime.a

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+version https://git-lfs.github.com/spec/v1
+oid sha256:65cb03cfd4d2354b834e890a7d6acb5ea8566161e8f652fae620ee34ff82415d
+size 58813232

1.15.0/onnxruntime.xcframework/ios-arm64_x86_64-simulator/libonnxruntime.a

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+onnxruntime.a

1.15.0/onnxruntime.xcframework/ios-arm64_x86_64-simulator/onnxruntime.a

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0c97eeaea5528cd6fc485eeea875689eba5e7aa95d28d36e87b6b9e183b5fc98
+size 120135536