Commit
·
b3907de
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Parent(s):
e7db88e
remove 1.16.0
Browse files- 1.16.0/onnxruntime.xcframework/Headers/onnxruntime_c_api.h +0 -0
- 1.16.0/onnxruntime.xcframework/Headers/onnxruntime_cxx_api.h +0 -0
- 1.16.0/onnxruntime.xcframework/Headers/onnxruntime_cxx_inline.h +0 -1886
- 1.16.0/onnxruntime.xcframework/Headers/onnxruntime_float16.h +0 -540
- 1.16.0/onnxruntime.xcframework/Info.plist +0 -53
- 1.16.0/onnxruntime.xcframework/ios-arm64/libonnxruntime.a +0 -1
- 1.16.0/onnxruntime.xcframework/ios-arm64/onnxruntime.a +0 -3
- 1.16.0/onnxruntime.xcframework/ios-arm64_x86_64-simulator/libonnxruntime.a +0 -1
- 1.16.0/onnxruntime.xcframework/ios-arm64_x86_64-simulator/onnxruntime.a +0 -3
- 1.16.0/onnxruntime.xcframework/macos-arm64_x86_64/libonnxruntime.a +0 -1
- 1.16.0/onnxruntime.xcframework/macos-arm64_x86_64/onnxruntime.a +0 -3
1.16.0/onnxruntime.xcframework/Headers/onnxruntime_c_api.h
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1.16.0/onnxruntime.xcframework/Headers/onnxruntime_cxx_api.h
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1.16.0/onnxruntime.xcframework/Headers/onnxruntime_cxx_inline.h
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// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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// Do not include this file directly. Please include "onnxruntime_cxx_api.h" instead.
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// If interested in trying out features of the new experimental C++ API, include "experimental_onnxruntime_cxx_api.h" instead.
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//
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// These are the inline implementations of the C++ header APIs. They're in this separate file as to not clutter
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// the main C++ file with implementation details.
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#include <cstring>
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namespace Ort {
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namespace detail {
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inline void ThrowStatus(const Status& st) {
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std::string error_message = st.GetErrorMessage();
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OrtErrorCode error_code = st.GetErrorCode();
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ORT_CXX_API_THROW(std::move(error_message), error_code);
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}
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} // namespace detail
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inline void ThrowOnError(OrtStatus* ort_status) {
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if (ort_status) {
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Ort::Status st(ort_status);
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detail::ThrowStatus(st);
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}
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}
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inline void ThrowOnError(const Status& st) {
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if (st) {
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detail::ThrowStatus(st);
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}
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}
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inline Status::Status(OrtStatus* status) noexcept : Base<OrtStatus>{status} {
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}
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inline Status::Status(const std::exception& e) noexcept {
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p_ = GetApi().CreateStatus(ORT_FAIL, e.what());
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}
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inline Status::Status(const Exception& e) noexcept {
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p_ = GetApi().CreateStatus(e.GetOrtErrorCode(), e.what());
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}
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inline Status::Status(const char* message, OrtErrorCode code) noexcept {
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p_ = GetApi().CreateStatus(code, message);
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}
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inline std::string Status::GetErrorMessage() const {
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std::string message(GetApi().GetErrorMessage(p_));
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return message;
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}
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inline OrtErrorCode Status::GetErrorCode() const {
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return GetApi().GetErrorCode(p_);
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}
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inline bool Status::IsOK() const noexcept {
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return (p_ == nullptr);
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}
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// This template converts a C++ type into it's ONNXTensorElementDataType
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template <typename T>
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struct TypeToTensorType;
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template <>
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struct TypeToTensorType<float> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;
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};
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template <>
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struct TypeToTensorType<Float16_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16;
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};
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template <>
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struct TypeToTensorType<BFloat16_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_BFLOAT16;
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};
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template <>
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struct TypeToTensorType<double> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE;
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};
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template <>
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struct TypeToTensorType<int8_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8;
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};
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template <>
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struct TypeToTensorType<int16_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16;
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};
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template <>
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struct TypeToTensorType<int32_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32;
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};
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template <>
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struct TypeToTensorType<int64_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64;
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};
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template <>
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struct TypeToTensorType<uint8_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8;
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};
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template <>
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struct TypeToTensorType<uint16_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16;
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};
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template <>
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struct TypeToTensorType<uint32_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT32;
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};
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template <>
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struct TypeToTensorType<uint64_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT64;
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};
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template <>
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struct TypeToTensorType<bool> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL;
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};
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template <>
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struct TypeToTensorType<Float8E4M3FN_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E4M3FN;
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};
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template <>
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struct TypeToTensorType<Float8E4M3FNUZ_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E4M3FNUZ;
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};
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template <>
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struct TypeToTensorType<Float8E5M2_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E5M2;
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};
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template <>
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struct TypeToTensorType<Float8E5M2FNUZ_t> {
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static constexpr ONNXTensorElementDataType type = ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E5M2FNUZ;
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};
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inline bool BFloat16_t::operator==(const BFloat16_t& rhs) const noexcept {
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if (IsNaN() || rhs.IsNaN()) {
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// IEEE defines that NaN is not equal to anything, including itself.
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return false;
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}
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return val == rhs.val;
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}
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inline bool BFloat16_t::operator<(const BFloat16_t& rhs) const noexcept {
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if (IsNaN() || rhs.IsNaN()) {
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// IEEE defines that NaN is unordered with respect to everything, including itself.
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return false;
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}
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const bool left_is_negative = IsNegative();
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if (left_is_negative != rhs.IsNegative()) {
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// When the signs of left and right differ, we know that left is less than right if it is
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// the negative value. The exception to this is if both values are zero, in which case IEEE
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// says they should be equal, even if the signs differ.
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return left_is_negative && !AreZero(*this, rhs);
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}
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return (val != rhs.val) && ((val < rhs.val) ^ left_is_negative);
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}
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inline MemoryAllocation::MemoryAllocation(OrtAllocator* allocator, void* p, size_t size)
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: allocator_(allocator), p_(p), size_(size) {
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}
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inline MemoryAllocation::~MemoryAllocation() {
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if (p_ != nullptr) {
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// We do not throw out of destructor
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auto ret = GetApi().AllocatorFree(allocator_, p_);
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static_cast<void>(ret);
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}
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}
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inline MemoryAllocation::MemoryAllocation(MemoryAllocation&& o) noexcept : allocator_(nullptr), p_(nullptr), size_(0) {
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*this = std::move(o);
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}
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inline MemoryAllocation& MemoryAllocation::operator=(MemoryAllocation&& o) noexcept {
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OrtAllocator* alloc = nullptr;
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void* p = nullptr;
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size_t sz = 0;
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// Swap out this
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std::swap(alloc, allocator_);
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std::swap(p, p_);
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std::swap(sz, size_);
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// Swap with incoming
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std::swap(allocator_, o.allocator_);
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std::swap(p_, o.p_);
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std::swap(size_, o.size_);
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// Destroy this instance if needed
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MemoryAllocation this_alloc(alloc, p, sz);
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return *this;
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}
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namespace detail {
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template <typename T>
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inline void* AllocatorImpl<T>::Alloc(size_t size) {
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void* out;
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ThrowOnError(GetApi().AllocatorAlloc(this->p_, size, &out));
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return out;
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}
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template <typename T>
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inline MemoryAllocation AllocatorImpl<T>::GetAllocation(size_t size) {
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void* out;
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ThrowOnError(GetApi().AllocatorAlloc(this->p_, size, &out));
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MemoryAllocation result(this->p_, out, size);
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return result;
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}
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template <typename T>
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inline void AllocatorImpl<T>::Free(void* p) {
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ThrowOnError(GetApi().AllocatorFree(this->p_, p));
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}
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template <typename T>
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inline ConstMemoryInfo AllocatorImpl<T>::GetInfo() const {
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const OrtMemoryInfo* out;
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ThrowOnError(GetApi().AllocatorGetInfo(this->p_, &out));
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return ConstMemoryInfo{out};
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}
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} // namespace detail
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inline AllocatorWithDefaultOptions::AllocatorWithDefaultOptions() {
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ThrowOnError(GetApi().GetAllocatorWithDefaultOptions(&this->p_));
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}
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inline Allocator::Allocator(const Session& sess, const OrtMemoryInfo* mem_info) {
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ThrowOnError(GetApi().CreateAllocator(sess, mem_info, &this->p_));
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}
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namespace detail {
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template <typename T>
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inline std::string MemoryInfoImpl<T>::GetAllocatorName() const {
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const char* name = nullptr;
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ThrowOnError(GetApi().MemoryInfoGetName(this->p_, &name));
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return std::string(name);
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}
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template <typename T>
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inline OrtAllocatorType MemoryInfoImpl<T>::GetAllocatorType() const {
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OrtAllocatorType type;
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ThrowOnError(GetApi().MemoryInfoGetType(this->p_, &type));
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return type;
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}
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template <typename T>
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inline int MemoryInfoImpl<T>::GetDeviceId() const {
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int id = 0;
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ThrowOnError(GetApi().MemoryInfoGetId(this->p_, &id));
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return id;
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}
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template <typename T>
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inline OrtMemoryInfoDeviceType MemoryInfoImpl<T>::GetDeviceType() const {
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OrtMemoryInfoDeviceType type;
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GetApi().MemoryInfoGetDeviceType(this->p_, &type);
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return type;
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}
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template <typename T>
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inline OrtMemType MemoryInfoImpl<T>::GetMemoryType() const {
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OrtMemType type;
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ThrowOnError(GetApi().MemoryInfoGetMemType(this->p_, &type));
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return type;
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}
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template <typename T>
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template <typename U>
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inline bool MemoryInfoImpl<T>::operator==(const MemoryInfoImpl<U>& o) const {
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int comp_result = 0;
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ThrowOnError(Ort::GetApi().CompareMemoryInfo(this->p_, o, &comp_result));
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return comp_result == 0;
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}
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} // namespace detail
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inline MemoryInfo MemoryInfo::CreateCpu(OrtAllocatorType type, OrtMemType mem_type) {
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OrtMemoryInfo* p;
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ThrowOnError(GetApi().CreateCpuMemoryInfo(type, mem_type, &p));
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return MemoryInfo(p);
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}
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inline MemoryInfo::MemoryInfo(const char* name, OrtAllocatorType type, int id, OrtMemType mem_type) {
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ThrowOnError(GetApi().CreateMemoryInfo(name, type, id, mem_type, &this->p_));
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}
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namespace detail {
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template <typename T>
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inline std::vector<std::string> ConstIoBindingImpl<T>::GetOutputNames() const {
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AllocatorWithDefaultOptions allocator;
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return binding_utils::GetOutputNamesHelper(this->p_, allocator);
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}
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template <typename T>
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inline std::vector<std::string> ConstIoBindingImpl<T>::GetOutputNames(OrtAllocator* allocator) const {
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return binding_utils::GetOutputNamesHelper(this->p_, allocator);
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}
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template <typename T>
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inline std::vector<Value> ConstIoBindingImpl<T>::GetOutputValues() const {
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AllocatorWithDefaultOptions allocator;
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return binding_utils::GetOutputValuesHelper(this->p_, allocator);
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}
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template <typename T>
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inline std::vector<Value> ConstIoBindingImpl<T>::GetOutputValues(OrtAllocator* allocator) const {
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return binding_utils::GetOutputValuesHelper(this->p_, allocator);
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}
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template <typename T>
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inline void IoBindingImpl<T>::BindInput(const char* name, const Value& value) {
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ThrowOnError(GetApi().BindInput(this->p_, name, value));
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}
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template <typename T>
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inline void IoBindingImpl<T>::BindOutput(const char* name, const Value& value) {
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ThrowOnError(GetApi().BindOutput(this->p_, name, value));
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}
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template <typename T>
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inline void IoBindingImpl<T>::BindOutput(const char* name, const OrtMemoryInfo* mem_info) {
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ThrowOnError(GetApi().BindOutputToDevice(this->p_, name, mem_info));
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}
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template <typename T>
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inline void IoBindingImpl<T>::ClearBoundInputs() {
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GetApi().ClearBoundInputs(this->p_);
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}
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template <typename T>
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inline void IoBindingImpl<T>::ClearBoundOutputs() {
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GetApi().ClearBoundOutputs(this->p_);
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}
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template <typename T>
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inline void IoBindingImpl<T>::SynchronizeInputs() {
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ThrowOnError(GetApi().SynchronizeBoundInputs(this->p_));
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}
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template <typename T>
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inline void IoBindingImpl<T>::SynchronizeOutputs() {
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ThrowOnError(GetApi().SynchronizeBoundOutputs(this->p_));
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}
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namespace binding_utils {
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inline std::vector<std::string> GetOutputNamesHelper(const OrtIoBinding* binding, OrtAllocator* allocator) {
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std::vector<std::string> result;
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auto free_fn = detail::AllocatedFree(allocator);
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using Ptr = std::unique_ptr<void, decltype(free_fn)>;
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char* buffer = nullptr;
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size_t* lengths = nullptr;
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size_t count = 0;
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ThrowOnError(GetApi().GetBoundOutputNames(binding, allocator, &buffer, &lengths, &count));
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if (count == 0) {
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return result;
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}
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Ptr buffer_g(buffer, free_fn);
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Ptr lengths_g(lengths, free_fn);
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result.reserve(count);
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for (size_t i = 0; i < count; ++i) {
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auto sz = *lengths;
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result.emplace_back(buffer, sz);
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buffer += sz;
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++lengths;
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}
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-
return result;
|
376 |
-
}
|
377 |
-
|
378 |
-
inline std::vector<Value> GetOutputValuesHelper(const OrtIoBinding* binding, OrtAllocator* allocator) {
|
379 |
-
std::vector<Value> result;
|
380 |
-
size_t owned = 0;
|
381 |
-
size_t output_count = 0;
|
382 |
-
// Lambda to release the buffer when no longer needed and
|
383 |
-
// make sure that we destroy all instances on exception
|
384 |
-
auto free_fn = [&owned, &output_count, allocator](OrtValue** buffer) {
|
385 |
-
if (buffer) {
|
386 |
-
while (owned < output_count) {
|
387 |
-
auto* p = buffer + owned++;
|
388 |
-
GetApi().ReleaseValue(*p);
|
389 |
-
}
|
390 |
-
allocator->Free(allocator, buffer);
|
391 |
-
}
|
392 |
-
};
|
393 |
-
using Ptr = std::unique_ptr<OrtValue*, decltype(free_fn)>;
|
394 |
-
|
395 |
-
OrtValue** output_buffer = nullptr;
|
396 |
-
ThrowOnError(GetApi().GetBoundOutputValues(binding, allocator, &output_buffer, &output_count));
|
397 |
-
if (output_count == 0) {
|
398 |
-
return result;
|
399 |
-
}
|
400 |
-
|
401 |
-
Ptr buffer_g(output_buffer, free_fn);
|
402 |
-
|
403 |
-
result.reserve(output_count);
|
404 |
-
for (size_t i = 0; i < output_count; ++i) {
|
405 |
-
result.emplace_back(output_buffer[i]);
|
406 |
-
++owned;
|
407 |
-
}
|
408 |
-
return result;
|
409 |
-
}
|
410 |
-
|
411 |
-
} // namespace binding_utils
|
412 |
-
} // namespace detail
|
413 |
-
|
414 |
-
inline IoBinding::IoBinding(Session& session) {
|
415 |
-
ThrowOnError(GetApi().CreateIoBinding(session, &this->p_));
|
416 |
-
}
|
417 |
-
|
418 |
-
inline ArenaCfg::ArenaCfg(size_t max_mem, int arena_extend_strategy, int initial_chunk_size_bytes, int max_dead_bytes_per_chunk) {
|
419 |
-
ThrowOnError(GetApi().CreateArenaCfg(max_mem, arena_extend_strategy, initial_chunk_size_bytes, max_dead_bytes_per_chunk, &p_));
|
420 |
-
}
|
421 |
-
|
422 |
-
inline ThreadingOptions::ThreadingOptions() {
|
423 |
-
ThrowOnError(GetApi().CreateThreadingOptions(&p_));
|
424 |
-
}
|
425 |
-
|
426 |
-
inline ThreadingOptions& ThreadingOptions::SetGlobalIntraOpNumThreads(int intra_op_num_threads) {
|
427 |
-
ThrowOnError(GetApi().SetGlobalIntraOpNumThreads(p_, intra_op_num_threads));
|
428 |
-
return *this;
|
429 |
-
}
|
430 |
-
|
431 |
-
inline ThreadingOptions& ThreadingOptions::SetGlobalInterOpNumThreads(int inter_op_num_threads) {
|
432 |
-
ThrowOnError(GetApi().SetGlobalInterOpNumThreads(p_, inter_op_num_threads));
|
433 |
-
return *this;
|
434 |
-
}
|
435 |
-
|
436 |
-
inline ThreadingOptions& ThreadingOptions::SetGlobalSpinControl(int allow_spinning) {
|
437 |
-
ThrowOnError(GetApi().SetGlobalSpinControl(p_, allow_spinning));
|
438 |
-
return *this;
|
439 |
-
}
|
440 |
-
|
441 |
-
inline ThreadingOptions& ThreadingOptions::SetGlobalDenormalAsZero() {
|
442 |
-
ThrowOnError(GetApi().SetGlobalDenormalAsZero(p_));
|
443 |
-
return *this;
|
444 |
-
}
|
445 |
-
|
446 |
-
inline ThreadingOptions& ThreadingOptions::SetGlobalCustomCreateThreadFn(OrtCustomCreateThreadFn ort_custom_create_thread_fn) {
|
447 |
-
ThrowOnError(GetApi().SetGlobalCustomCreateThreadFn(p_, ort_custom_create_thread_fn));
|
448 |
-
return *this;
|
449 |
-
}
|
450 |
-
|
451 |
-
inline ThreadingOptions& ThreadingOptions::SetGlobalCustomThreadCreationOptions(void* ort_custom_thread_creation_options) {
|
452 |
-
ThrowOnError(GetApi().SetGlobalCustomThreadCreationOptions(p_, ort_custom_thread_creation_options));
|
453 |
-
return *this;
|
454 |
-
}
|
455 |
-
|
456 |
-
inline ThreadingOptions& ThreadingOptions::SetGlobalCustomJoinThreadFn(OrtCustomJoinThreadFn ort_custom_join_thread_fn) {
|
457 |
-
ThrowOnError(GetApi().SetGlobalCustomJoinThreadFn(p_, ort_custom_join_thread_fn));
|
458 |
-
return *this;
|
459 |
-
}
|
460 |
-
|
461 |
-
inline Env::Env(OrtLoggingLevel logging_level, _In_ const char* logid) {
|
462 |
-
ThrowOnError(GetApi().CreateEnv(logging_level, logid, &p_));
|
463 |
-
if (strcmp(logid, "onnxruntime-node") == 0) {
|
464 |
-
ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_NODEJS));
|
465 |
-
} else {
|
466 |
-
ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_CPLUSPLUS));
|
467 |
-
}
|
468 |
-
}
|
469 |
-
|
470 |
-
inline Env::Env(OrtLoggingLevel logging_level, const char* logid, OrtLoggingFunction logging_function, void* logger_param) {
|
471 |
-
ThrowOnError(GetApi().CreateEnvWithCustomLogger(logging_function, logger_param, logging_level, logid, &p_));
|
472 |
-
if (strcmp(logid, "onnxruntime-node") == 0) {
|
473 |
-
ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_NODEJS));
|
474 |
-
} else {
|
475 |
-
ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_CPLUSPLUS));
|
476 |
-
}
|
477 |
-
}
|
478 |
-
|
479 |
-
inline Env::Env(const OrtThreadingOptions* tp_options, OrtLoggingLevel logging_level, _In_ const char* logid) {
|
480 |
-
ThrowOnError(GetApi().CreateEnvWithGlobalThreadPools(logging_level, logid, tp_options, &p_));
|
481 |
-
if (strcmp(logid, "onnxruntime-node") == 0) {
|
482 |
-
ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_NODEJS));
|
483 |
-
} else {
|
484 |
-
ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_CPLUSPLUS));
|
485 |
-
}
|
486 |
-
}
|
487 |
-
|
488 |
-
inline Env::Env(const OrtThreadingOptions* tp_options, OrtLoggingFunction logging_function, void* logger_param,
|
489 |
-
OrtLoggingLevel logging_level, _In_ const char* logid) {
|
490 |
-
ThrowOnError(GetApi().CreateEnvWithCustomLoggerAndGlobalThreadPools(logging_function, logger_param, logging_level, logid, tp_options, &p_));
|
491 |
-
if (strcmp(logid, "onnxruntime-node") == 0) {
|
492 |
-
ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_NODEJS));
|
493 |
-
} else {
|
494 |
-
ThrowOnError(GetApi().SetLanguageProjection(p_, OrtLanguageProjection::ORT_PROJECTION_CPLUSPLUS));
|
495 |
-
}
|
496 |
-
}
|
497 |
-
|
498 |
-
inline Env& Env::EnableTelemetryEvents() {
|
499 |
-
ThrowOnError(GetApi().EnableTelemetryEvents(p_));
|
500 |
-
return *this;
|
501 |
-
}
|
502 |
-
|
503 |
-
inline Env& Env::DisableTelemetryEvents() {
|
504 |
-
ThrowOnError(GetApi().DisableTelemetryEvents(p_));
|
505 |
-
return *this;
|
506 |
-
}
|
507 |
-
|
508 |
-
inline Env& Env::UpdateEnvWithCustomLogLevel(OrtLoggingLevel log_severity_level) {
|
509 |
-
ThrowOnError(GetApi().UpdateEnvWithCustomLogLevel(p_, log_severity_level));
|
510 |
-
return *this;
|
511 |
-
}
|
512 |
-
|
513 |
-
inline Env& Env::CreateAndRegisterAllocator(const OrtMemoryInfo* mem_info, const OrtArenaCfg* arena_cfg) {
|
514 |
-
ThrowOnError(GetApi().CreateAndRegisterAllocator(p_, mem_info, arena_cfg));
|
515 |
-
return *this;
|
516 |
-
}
|
517 |
-
|
518 |
-
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) {
|
519 |
-
std::vector<const char*> keys, values;
|
520 |
-
auto num_entries = options.size();
|
521 |
-
if (num_entries > 0) {
|
522 |
-
keys.reserve(num_entries);
|
523 |
-
values.reserve(num_entries);
|
524 |
-
for (const auto& entry : options) {
|
525 |
-
keys.push_back(entry.first.c_str());
|
526 |
-
values.push_back(entry.second.c_str());
|
527 |
-
}
|
528 |
-
}
|
529 |
-
ThrowOnError(GetApi().CreateAndRegisterAllocatorV2(p_, provider_type.c_str(), mem_info, arena_cfg, keys.data(), values.data(), num_entries));
|
530 |
-
return *this;
|
531 |
-
}
|
532 |
-
|
533 |
-
inline CustomOpDomain::CustomOpDomain(const char* domain) {
|
534 |
-
ThrowOnError(GetApi().CreateCustomOpDomain(domain, &p_));
|
535 |
-
}
|
536 |
-
|
537 |
-
inline void CustomOpDomain::Add(const OrtCustomOp* op) {
|
538 |
-
ThrowOnError(GetApi().CustomOpDomain_Add(p_, op));
|
539 |
-
}
|
540 |
-
|
541 |
-
inline RunOptions::RunOptions() {
|
542 |
-
ThrowOnError(GetApi().CreateRunOptions(&p_));
|
543 |
-
}
|
544 |
-
|
545 |
-
inline RunOptions& RunOptions::SetRunLogVerbosityLevel(int level) {
|
546 |
-
ThrowOnError(GetApi().RunOptionsSetRunLogVerbosityLevel(p_, level));
|
547 |
-
return *this;
|
548 |
-
}
|
549 |
-
|
550 |
-
inline RunOptions& RunOptions::SetRunLogSeverityLevel(int level) {
|
551 |
-
ThrowOnError(GetApi().RunOptionsSetRunLogSeverityLevel(p_, level));
|
552 |
-
return *this;
|
553 |
-
}
|
554 |
-
|
555 |
-
inline int RunOptions::GetRunLogVerbosityLevel() const {
|
556 |
-
int out;
|
557 |
-
ThrowOnError(GetApi().RunOptionsGetRunLogVerbosityLevel(p_, &out));
|
558 |
-
return out;
|
559 |
-
}
|
560 |
-
|
561 |
-
inline int RunOptions::GetRunLogSeverityLevel() const {
|
562 |
-
int out;
|
563 |
-
ThrowOnError(GetApi().RunOptionsGetRunLogSeverityLevel(p_, &out));
|
564 |
-
return out;
|
565 |
-
}
|
566 |
-
|
567 |
-
inline RunOptions& RunOptions::SetRunTag(const char* run_tag) {
|
568 |
-
ThrowOnError(GetApi().RunOptionsSetRunTag(p_, run_tag));
|
569 |
-
return *this;
|
570 |
-
}
|
571 |
-
|
572 |
-
inline const char* RunOptions::GetRunTag() const {
|
573 |
-
const char* out;
|
574 |
-
ThrowOnError(GetApi().RunOptionsGetRunTag(p_, &out));
|
575 |
-
return out;
|
576 |
-
}
|
577 |
-
|
578 |
-
inline RunOptions& RunOptions::AddConfigEntry(const char* config_key, const char* config_value) {
|
579 |
-
ThrowOnError(GetApi().AddRunConfigEntry(p_, config_key, config_value));
|
580 |
-
return *this;
|
581 |
-
}
|
582 |
-
|
583 |
-
inline RunOptions& RunOptions::SetTerminate() {
|
584 |
-
ThrowOnError(GetApi().RunOptionsSetTerminate(p_));
|
585 |
-
return *this;
|
586 |
-
}
|
587 |
-
|
588 |
-
inline RunOptions& RunOptions::UnsetTerminate() {
|
589 |
-
ThrowOnError(GetApi().RunOptionsUnsetTerminate(p_));
|
590 |
-
return *this;
|
591 |
-
}
|
592 |
-
|
593 |
-
namespace detail {
|
594 |
-
|
595 |
-
template <typename T>
|
596 |
-
inline Ort::SessionOptions ConstSessionOptionsImpl<T>::Clone() const {
|
597 |
-
OrtSessionOptions* out;
|
598 |
-
ThrowOnError(GetApi().CloneSessionOptions(this->p_, &out));
|
599 |
-
return SessionOptions{out};
|
600 |
-
}
|
601 |
-
|
602 |
-
template <typename T>
|
603 |
-
inline std::string ConstSessionOptionsImpl<T>::GetConfigEntry(const char* config_key) const {
|
604 |
-
size_t size = 0;
|
605 |
-
// Feed nullptr for the data buffer to query the true size of the string value
|
606 |
-
Ort::ThrowOnError(GetApi().GetSessionConfigEntry(this->p_, config_key, nullptr, &size));
|
607 |
-
|
608 |
-
std::string out;
|
609 |
-
out.resize(size);
|
610 |
-
Ort::ThrowOnError(GetApi().GetSessionConfigEntry(this->p_, config_key, &out[0], &size));
|
611 |
-
out.resize(size - 1); // remove the terminating character '\0'
|
612 |
-
|
613 |
-
return out;
|
614 |
-
}
|
615 |
-
|
616 |
-
template <typename T>
|
617 |
-
inline bool ConstSessionOptionsImpl<T>::HasConfigEntry(const char* config_key) const {
|
618 |
-
int out = 0;
|
619 |
-
Ort::ThrowOnError(GetApi().HasSessionConfigEntry(this->p_, config_key, &out));
|
620 |
-
return static_cast<bool>(out);
|
621 |
-
}
|
622 |
-
|
623 |
-
template <typename T>
|
624 |
-
inline std::string ConstSessionOptionsImpl<T>::GetConfigEntryOrDefault(const char* config_key, const std::string& def) {
|
625 |
-
if (!this->HasConfigEntry(config_key)) {
|
626 |
-
return def;
|
627 |
-
}
|
628 |
-
|
629 |
-
return this->GetConfigEntry(config_key);
|
630 |
-
}
|
631 |
-
|
632 |
-
template <typename T>
|
633 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetIntraOpNumThreads(int intra_op_num_threads) {
|
634 |
-
ThrowOnError(GetApi().SetIntraOpNumThreads(this->p_, intra_op_num_threads));
|
635 |
-
return *this;
|
636 |
-
}
|
637 |
-
|
638 |
-
template <typename T>
|
639 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetInterOpNumThreads(int inter_op_num_threads) {
|
640 |
-
ThrowOnError(GetApi().SetInterOpNumThreads(this->p_, inter_op_num_threads));
|
641 |
-
return *this;
|
642 |
-
}
|
643 |
-
|
644 |
-
template <typename T>
|
645 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetGraphOptimizationLevel(GraphOptimizationLevel graph_optimization_level) {
|
646 |
-
ThrowOnError(GetApi().SetSessionGraphOptimizationLevel(this->p_, graph_optimization_level));
|
647 |
-
return *this;
|
648 |
-
}
|
649 |
-
|
650 |
-
template <typename T>
|
651 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetOptimizedModelFilePath(const ORTCHAR_T* optimized_model_filepath) {
|
652 |
-
ThrowOnError(GetApi().SetOptimizedModelFilePath(this->p_, optimized_model_filepath));
|
653 |
-
return *this;
|
654 |
-
}
|
655 |
-
|
656 |
-
template <typename T>
|
657 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::EnableProfiling(const ORTCHAR_T* profile_file_prefix) {
|
658 |
-
ThrowOnError(GetApi().EnableProfiling(this->p_, profile_file_prefix));
|
659 |
-
return *this;
|
660 |
-
}
|
661 |
-
|
662 |
-
template <typename T>
|
663 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::DisableProfiling() {
|
664 |
-
ThrowOnError(GetApi().DisableProfiling(this->p_));
|
665 |
-
return *this;
|
666 |
-
}
|
667 |
-
|
668 |
-
template <typename T>
|
669 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::EnableOrtCustomOps() {
|
670 |
-
ThrowOnError(GetApi().EnableOrtCustomOps(this->p_));
|
671 |
-
return *this;
|
672 |
-
}
|
673 |
-
|
674 |
-
template <typename T>
|
675 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::EnableMemPattern() {
|
676 |
-
ThrowOnError(GetApi().EnableMemPattern(this->p_));
|
677 |
-
return *this;
|
678 |
-
}
|
679 |
-
|
680 |
-
template <typename T>
|
681 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::DisableMemPattern() {
|
682 |
-
ThrowOnError(GetApi().DisableMemPattern(this->p_));
|
683 |
-
return *this;
|
684 |
-
}
|
685 |
-
|
686 |
-
template <typename T>
|
687 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::EnableCpuMemArena() {
|
688 |
-
ThrowOnError(GetApi().EnableCpuMemArena(this->p_));
|
689 |
-
return *this;
|
690 |
-
}
|
691 |
-
|
692 |
-
template <typename T>
|
693 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::DisableCpuMemArena() {
|
694 |
-
ThrowOnError(GetApi().DisableCpuMemArena(this->p_));
|
695 |
-
return *this;
|
696 |
-
}
|
697 |
-
|
698 |
-
template <typename T>
|
699 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetExecutionMode(ExecutionMode execution_mode) {
|
700 |
-
ThrowOnError(GetApi().SetSessionExecutionMode(this->p_, execution_mode));
|
701 |
-
return *this;
|
702 |
-
}
|
703 |
-
|
704 |
-
template <typename T>
|
705 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetLogId(const char* logid) {
|
706 |
-
ThrowOnError(GetApi().SetSessionLogId(this->p_, logid));
|
707 |
-
return *this;
|
708 |
-
}
|
709 |
-
|
710 |
-
template <typename T>
|
711 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetLogSeverityLevel(int level) {
|
712 |
-
ThrowOnError(GetApi().SetSessionLogSeverityLevel(this->p_, level));
|
713 |
-
return *this;
|
714 |
-
}
|
715 |
-
|
716 |
-
template <typename T>
|
717 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::Add(OrtCustomOpDomain* custom_op_domain) {
|
718 |
-
ThrowOnError(GetApi().AddCustomOpDomain(this->p_, custom_op_domain));
|
719 |
-
return *this;
|
720 |
-
}
|
721 |
-
|
722 |
-
template <typename T>
|
723 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AddConfigEntry(const char* config_key, const char* config_value) {
|
724 |
-
ThrowOnError(GetApi().AddSessionConfigEntry(this->p_, config_key, config_value));
|
725 |
-
return *this;
|
726 |
-
}
|
727 |
-
|
728 |
-
template <typename T>
|
729 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AddInitializer(const char* name, const OrtValue* ort_val) {
|
730 |
-
ThrowOnError(GetApi().AddInitializer(this->p_, name, ort_val));
|
731 |
-
return *this;
|
732 |
-
}
|
733 |
-
|
734 |
-
template <typename T>
|
735 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::DisablePerSessionThreads() {
|
736 |
-
ThrowOnError(GetApi().DisablePerSessionThreads(this->p_));
|
737 |
-
return *this;
|
738 |
-
}
|
739 |
-
|
740 |
-
template <typename T>
|
741 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AddExternalInitializers(const std::vector<std::string>& names,
|
742 |
-
const std::vector<Value>& ort_values) {
|
743 |
-
const size_t inputs_num = names.size();
|
744 |
-
if (inputs_num != ort_values.size()) {
|
745 |
-
ORT_CXX_API_THROW("Expecting names and ort_values to have the same length", ORT_INVALID_ARGUMENT);
|
746 |
-
}
|
747 |
-
std::vector<const char*> names_ptr;
|
748 |
-
std::vector<const OrtValue*> ort_values_ptrs;
|
749 |
-
names_ptr.reserve(inputs_num);
|
750 |
-
ort_values_ptrs.reserve(inputs_num);
|
751 |
-
for (size_t i = 0; i < inputs_num; ++i) {
|
752 |
-
names_ptr.push_back(names[i].c_str());
|
753 |
-
ort_values_ptrs.push_back(ort_values[i]);
|
754 |
-
}
|
755 |
-
ThrowOnError(GetApi().AddExternalInitializers(this->p_, names_ptr.data(), ort_values_ptrs.data(), inputs_num));
|
756 |
-
return *this;
|
757 |
-
}
|
758 |
-
|
759 |
-
template <typename T>
|
760 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_CUDA(const OrtCUDAProviderOptions& provider_options) {
|
761 |
-
ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_CUDA(this->p_, &provider_options));
|
762 |
-
return *this;
|
763 |
-
}
|
764 |
-
|
765 |
-
template <typename T>
|
766 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_CUDA_V2(const OrtCUDAProviderOptionsV2& provider_options) {
|
767 |
-
ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_CUDA_V2(this->p_, &provider_options));
|
768 |
-
return *this;
|
769 |
-
}
|
770 |
-
|
771 |
-
template <typename T>
|
772 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_ROCM(const OrtROCMProviderOptions& provider_options) {
|
773 |
-
ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_ROCM(this->p_, &provider_options));
|
774 |
-
return *this;
|
775 |
-
}
|
776 |
-
|
777 |
-
template <typename T>
|
778 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_TensorRT(const OrtTensorRTProviderOptions& provider_options) {
|
779 |
-
ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_TensorRT(this->p_, &provider_options));
|
780 |
-
return *this;
|
781 |
-
}
|
782 |
-
|
783 |
-
template <typename T>
|
784 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_TensorRT_V2(const OrtTensorRTProviderOptionsV2& provider_options) {
|
785 |
-
ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_TensorRT_V2(this->p_, &provider_options));
|
786 |
-
return *this;
|
787 |
-
}
|
788 |
-
|
789 |
-
template <typename T>
|
790 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_MIGraphX(const OrtMIGraphXProviderOptions& provider_options) {
|
791 |
-
ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_MIGraphX(this->p_, &provider_options));
|
792 |
-
return *this;
|
793 |
-
}
|
794 |
-
|
795 |
-
template <typename T>
|
796 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_CANN(const OrtCANNProviderOptions& provider_options) {
|
797 |
-
ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_CANN(this->p_, &provider_options));
|
798 |
-
return *this;
|
799 |
-
}
|
800 |
-
|
801 |
-
template <typename T>
|
802 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_Dnnl(const OrtDnnlProviderOptions& provider_options) {
|
803 |
-
ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_Dnnl(this->p_, &provider_options));
|
804 |
-
return *this;
|
805 |
-
}
|
806 |
-
|
807 |
-
template <typename T>
|
808 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider(
|
809 |
-
const std::string& provider_name,
|
810 |
-
const std::unordered_map<std::string, std::string>& provider_options) {
|
811 |
-
auto num_entries = provider_options.size();
|
812 |
-
std::vector<const char*> keys, values;
|
813 |
-
if (num_entries > 0) {
|
814 |
-
keys.reserve(num_entries);
|
815 |
-
values.reserve(num_entries);
|
816 |
-
|
817 |
-
for (const auto& entry : provider_options) {
|
818 |
-
keys.push_back(entry.first.c_str());
|
819 |
-
values.push_back(entry.second.c_str());
|
820 |
-
}
|
821 |
-
}
|
822 |
-
|
823 |
-
ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider(this->p_, provider_name.c_str(),
|
824 |
-
keys.data(), values.data(), num_entries));
|
825 |
-
|
826 |
-
return *this;
|
827 |
-
}
|
828 |
-
|
829 |
-
template <typename T>
|
830 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetCustomCreateThreadFn(OrtCustomCreateThreadFn ort_custom_create_thread_fn) {
|
831 |
-
ThrowOnError(GetApi().SessionOptionsSetCustomCreateThreadFn(this->p_, ort_custom_create_thread_fn));
|
832 |
-
return *this;
|
833 |
-
}
|
834 |
-
|
835 |
-
template <typename T>
|
836 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetCustomThreadCreationOptions(void* ort_custom_thread_creation_options) {
|
837 |
-
ThrowOnError(GetApi().SessionOptionsSetCustomThreadCreationOptions(this->p_, ort_custom_thread_creation_options));
|
838 |
-
return *this;
|
839 |
-
}
|
840 |
-
|
841 |
-
template <typename T>
|
842 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::SetCustomJoinThreadFn(OrtCustomJoinThreadFn ort_custom_join_thread_fn) {
|
843 |
-
ThrowOnError(GetApi().SessionOptionsSetCustomJoinThreadFn(this->p_, ort_custom_join_thread_fn));
|
844 |
-
return *this;
|
845 |
-
}
|
846 |
-
|
847 |
-
template <typename T>
|
848 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::AppendExecutionProvider_OpenVINO(const OrtOpenVINOProviderOptions& provider_options) {
|
849 |
-
ThrowOnError(GetApi().SessionOptionsAppendExecutionProvider_OpenVINO(this->p_, &provider_options));
|
850 |
-
return *this;
|
851 |
-
}
|
852 |
-
|
853 |
-
template <typename T>
|
854 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::RegisterCustomOpsLibrary(const ORTCHAR_T* library_name,
|
855 |
-
const CustomOpConfigs& custom_op_configs) {
|
856 |
-
// Add custom op config entries before registering the custom op library. Otherwise, the config entries _may_ be ignored by
|
857 |
-
// the custom op library.
|
858 |
-
for (const auto& config_iter : custom_op_configs.GetFlattenedConfigs()) {
|
859 |
-
AddConfigEntry(config_iter.first.c_str(), config_iter.second.c_str());
|
860 |
-
}
|
861 |
-
|
862 |
-
ThrowOnError(GetApi().RegisterCustomOpsLibrary_V2(this->p_, library_name));
|
863 |
-
return *this;
|
864 |
-
}
|
865 |
-
|
866 |
-
template <typename T>
|
867 |
-
inline SessionOptionsImpl<T>& SessionOptionsImpl<T>::RegisterCustomOpsUsingFunction(const char* registration_function_name) {
|
868 |
-
ThrowOnError(GetApi().RegisterCustomOpsUsingFunction(this->p_, registration_function_name));
|
869 |
-
return *this;
|
870 |
-
}
|
871 |
-
|
872 |
-
/// Session
|
873 |
-
template <typename T>
|
874 |
-
inline size_t ConstSessionImpl<T>::GetInputCount() const {
|
875 |
-
size_t out;
|
876 |
-
ThrowOnError(GetApi().SessionGetInputCount(this->p_, &out));
|
877 |
-
return out;
|
878 |
-
}
|
879 |
-
|
880 |
-
template <typename T>
|
881 |
-
inline size_t ConstSessionImpl<T>::GetOutputCount() const {
|
882 |
-
size_t out;
|
883 |
-
ThrowOnError(GetApi().SessionGetOutputCount(this->p_, &out));
|
884 |
-
return out;
|
885 |
-
}
|
886 |
-
|
887 |
-
template <typename T>
|
888 |
-
inline size_t ConstSessionImpl<T>::GetOverridableInitializerCount() const {
|
889 |
-
size_t out;
|
890 |
-
ThrowOnError(GetApi().SessionGetOverridableInitializerCount(this->p_, &out));
|
891 |
-
return out;
|
892 |
-
}
|
893 |
-
|
894 |
-
template <typename T>
|
895 |
-
inline AllocatedStringPtr ConstSessionImpl<T>::GetInputNameAllocated(size_t index, OrtAllocator* allocator) const {
|
896 |
-
char* out;
|
897 |
-
ThrowOnError(GetApi().SessionGetInputName(this->p_, index, allocator, &out));
|
898 |
-
return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
|
899 |
-
}
|
900 |
-
|
901 |
-
template <typename T>
|
902 |
-
inline AllocatedStringPtr ConstSessionImpl<T>::GetOutputNameAllocated(size_t index, OrtAllocator* allocator) const {
|
903 |
-
char* out;
|
904 |
-
ThrowOnError(GetApi().SessionGetOutputName(this->p_, index, allocator, &out));
|
905 |
-
return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
|
906 |
-
}
|
907 |
-
|
908 |
-
template <typename T>
|
909 |
-
inline AllocatedStringPtr ConstSessionImpl<T>::GetOverridableInitializerNameAllocated(size_t index, OrtAllocator* allocator) const {
|
910 |
-
char* out;
|
911 |
-
ThrowOnError(GetApi().SessionGetOverridableInitializerName(this->p_, index, allocator, &out));
|
912 |
-
return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
|
913 |
-
}
|
914 |
-
|
915 |
-
template <typename T>
|
916 |
-
inline uint64_t ConstSessionImpl<T>::GetProfilingStartTimeNs() const {
|
917 |
-
uint64_t out;
|
918 |
-
ThrowOnError(GetApi().SessionGetProfilingStartTimeNs(this->p_, &out));
|
919 |
-
return out;
|
920 |
-
}
|
921 |
-
|
922 |
-
template <typename T>
|
923 |
-
inline ModelMetadata ConstSessionImpl<T>::GetModelMetadata() const {
|
924 |
-
OrtModelMetadata* out;
|
925 |
-
ThrowOnError(GetApi().SessionGetModelMetadata(this->p_, &out));
|
926 |
-
return ModelMetadata{out};
|
927 |
-
}
|
928 |
-
|
929 |
-
template <typename T>
|
930 |
-
inline TypeInfo ConstSessionImpl<T>::GetInputTypeInfo(size_t index) const {
|
931 |
-
OrtTypeInfo* out;
|
932 |
-
ThrowOnError(GetApi().SessionGetInputTypeInfo(this->p_, index, &out));
|
933 |
-
return TypeInfo{out};
|
934 |
-
}
|
935 |
-
|
936 |
-
template <typename T>
|
937 |
-
inline TypeInfo ConstSessionImpl<T>::GetOutputTypeInfo(size_t index) const {
|
938 |
-
OrtTypeInfo* out;
|
939 |
-
ThrowOnError(GetApi().SessionGetOutputTypeInfo(this->p_, index, &out));
|
940 |
-
return TypeInfo{out};
|
941 |
-
}
|
942 |
-
|
943 |
-
template <typename T>
|
944 |
-
inline TypeInfo ConstSessionImpl<T>::GetOverridableInitializerTypeInfo(size_t index) const {
|
945 |
-
OrtTypeInfo* out;
|
946 |
-
ThrowOnError(GetApi().SessionGetOverridableInitializerTypeInfo(this->p_, index, &out));
|
947 |
-
return TypeInfo{out};
|
948 |
-
}
|
949 |
-
|
950 |
-
template <typename T>
|
951 |
-
inline std::vector<Value> SessionImpl<T>::Run(const RunOptions& run_options, const char* const* input_names, const Value* input_values, size_t input_count,
|
952 |
-
const char* const* output_names, size_t output_count) {
|
953 |
-
std::vector<Value> output_values;
|
954 |
-
output_values.reserve(output_count);
|
955 |
-
for (size_t i = 0; i < output_count; i++)
|
956 |
-
output_values.emplace_back(nullptr);
|
957 |
-
Run(run_options, input_names, input_values, input_count, output_names, output_values.data(), output_count);
|
958 |
-
return output_values;
|
959 |
-
}
|
960 |
-
|
961 |
-
template <typename T>
|
962 |
-
inline void SessionImpl<T>::Run(const RunOptions& run_options, const char* const* input_names, const Value* input_values, size_t input_count,
|
963 |
-
const char* const* output_names, Value* output_values, size_t output_count) {
|
964 |
-
static_assert(sizeof(Value) == sizeof(OrtValue*), "Value is really just an array of OrtValue* in memory, so we can reinterpret_cast safely");
|
965 |
-
auto ort_input_values = reinterpret_cast<const OrtValue* const*>(input_values);
|
966 |
-
auto ort_output_values = reinterpret_cast<OrtValue**>(output_values);
|
967 |
-
ThrowOnError(GetApi().Run(this->p_, run_options, input_names, ort_input_values, input_count, output_names, output_count, ort_output_values));
|
968 |
-
}
|
969 |
-
|
970 |
-
template <typename T>
|
971 |
-
inline void SessionImpl<T>::Run(const RunOptions& run_options, const IoBinding& io_binding) {
|
972 |
-
ThrowOnError(GetApi().RunWithBinding(this->p_, run_options, io_binding));
|
973 |
-
}
|
974 |
-
|
975 |
-
template <typename T>
|
976 |
-
inline void SessionImpl<T>::RunAsync(const RunOptions& run_options, const char* const* input_names, const Value* input_values, size_t input_count,
|
977 |
-
const char* const* output_names, Value* output_values, size_t output_count, RunAsyncCallbackFn callback, void* user_data) {
|
978 |
-
auto ort_input_values = reinterpret_cast<const OrtValue* const*>(input_values);
|
979 |
-
auto ort_output_values = reinterpret_cast<OrtValue**>(output_values);
|
980 |
-
ThrowOnError(GetApi().RunAsync(this->p_, run_options, input_names,
|
981 |
-
ort_input_values, input_count, output_names, output_count,
|
982 |
-
ort_output_values, callback, user_data));
|
983 |
-
}
|
984 |
-
|
985 |
-
template <typename T>
|
986 |
-
inline AllocatedStringPtr SessionImpl<T>::EndProfilingAllocated(OrtAllocator* allocator) {
|
987 |
-
char* out = nullptr;
|
988 |
-
ThrowOnError(GetApi().SessionEndProfiling(this->p_, allocator, &out));
|
989 |
-
return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
|
990 |
-
}
|
991 |
-
|
992 |
-
} // namespace detail
|
993 |
-
|
994 |
-
inline SessionOptions::SessionOptions() {
|
995 |
-
ThrowOnError(GetApi().CreateSessionOptions(&this->p_));
|
996 |
-
}
|
997 |
-
|
998 |
-
/// CustomOpConfigs
|
999 |
-
inline std::string detail::MakeCustomOpConfigEntryKey(const char* custom_op_name, const char* config) {
|
1000 |
-
std::string config_key = "custom_op.";
|
1001 |
-
|
1002 |
-
config_key += custom_op_name;
|
1003 |
-
config_key += ".";
|
1004 |
-
config_key += config;
|
1005 |
-
|
1006 |
-
return config_key;
|
1007 |
-
}
|
1008 |
-
|
1009 |
-
inline CustomOpConfigs& CustomOpConfigs::AddConfig(const char* custom_op_name, const char* config_key, const char* config_value) {
|
1010 |
-
const std::string full_flat_key = detail::MakeCustomOpConfigEntryKey(custom_op_name, config_key);
|
1011 |
-
flat_configs_[full_flat_key] = config_value;
|
1012 |
-
return *this;
|
1013 |
-
}
|
1014 |
-
|
1015 |
-
inline const std::unordered_map<std::string, std::string>& CustomOpConfigs::GetFlattenedConfigs() const {
|
1016 |
-
return flat_configs_;
|
1017 |
-
}
|
1018 |
-
|
1019 |
-
inline Session::Session(const Env& env, const ORTCHAR_T* model_path, const SessionOptions& options) {
|
1020 |
-
ThrowOnError(GetApi().CreateSession(env, model_path, options, &this->p_));
|
1021 |
-
}
|
1022 |
-
|
1023 |
-
inline Session::Session(const Env& env, const ORTCHAR_T* model_path, const SessionOptions& options,
|
1024 |
-
OrtPrepackedWeightsContainer* prepacked_weights_container) {
|
1025 |
-
ThrowOnError(GetApi().CreateSessionWithPrepackedWeightsContainer(env, model_path, options, prepacked_weights_container, &this->p_));
|
1026 |
-
}
|
1027 |
-
|
1028 |
-
inline Session::Session(const Env& env, const void* model_data, size_t model_data_length, const SessionOptions& options) {
|
1029 |
-
ThrowOnError(GetApi().CreateSessionFromArray(env, model_data, model_data_length, options, &this->p_));
|
1030 |
-
}
|
1031 |
-
|
1032 |
-
inline Session::Session(const Env& env, const void* model_data, size_t model_data_length,
|
1033 |
-
const SessionOptions& options, OrtPrepackedWeightsContainer* prepacked_weights_container) {
|
1034 |
-
ThrowOnError(GetApi().CreateSessionFromArrayWithPrepackedWeightsContainer(env, model_data, model_data_length, options,
|
1035 |
-
prepacked_weights_container, &this->p_));
|
1036 |
-
}
|
1037 |
-
|
1038 |
-
inline AllocatedStringPtr ModelMetadata::GetProducerNameAllocated(OrtAllocator* allocator) const {
|
1039 |
-
char* out;
|
1040 |
-
ThrowOnError(GetApi().ModelMetadataGetProducerName(p_, allocator, &out));
|
1041 |
-
return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
|
1042 |
-
}
|
1043 |
-
|
1044 |
-
inline AllocatedStringPtr ModelMetadata::GetGraphNameAllocated(OrtAllocator* allocator) const {
|
1045 |
-
char* out;
|
1046 |
-
ThrowOnError(GetApi().ModelMetadataGetGraphName(p_, allocator, &out));
|
1047 |
-
return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
|
1048 |
-
}
|
1049 |
-
|
1050 |
-
inline AllocatedStringPtr ModelMetadata::GetDomainAllocated(OrtAllocator* allocator) const {
|
1051 |
-
char* out;
|
1052 |
-
ThrowOnError(GetApi().ModelMetadataGetDomain(p_, allocator, &out));
|
1053 |
-
return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
|
1054 |
-
}
|
1055 |
-
|
1056 |
-
inline AllocatedStringPtr Ort::ModelMetadata::GetDescriptionAllocated(OrtAllocator* allocator) const {
|
1057 |
-
char* out;
|
1058 |
-
ThrowOnError(GetApi().ModelMetadataGetDescription(p_, allocator, &out));
|
1059 |
-
return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
|
1060 |
-
}
|
1061 |
-
|
1062 |
-
inline AllocatedStringPtr ModelMetadata::GetGraphDescriptionAllocated(OrtAllocator* allocator) const {
|
1063 |
-
char* out;
|
1064 |
-
ThrowOnError(GetApi().ModelMetadataGetGraphDescription(p_, allocator, &out));
|
1065 |
-
return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
|
1066 |
-
}
|
1067 |
-
|
1068 |
-
inline AllocatedStringPtr ModelMetadata::LookupCustomMetadataMapAllocated(const char* key, OrtAllocator* allocator) const {
|
1069 |
-
char* out;
|
1070 |
-
ThrowOnError(GetApi().ModelMetadataLookupCustomMetadataMap(p_, allocator, key, &out));
|
1071 |
-
return AllocatedStringPtr(out, detail::AllocatedFree(allocator));
|
1072 |
-
}
|
1073 |
-
|
1074 |
-
inline std::vector<AllocatedStringPtr> ModelMetadata::GetCustomMetadataMapKeysAllocated(OrtAllocator* allocator) const {
|
1075 |
-
auto deletor = detail::AllocatedFree(allocator);
|
1076 |
-
std::vector<AllocatedStringPtr> result;
|
1077 |
-
|
1078 |
-
char** out = nullptr;
|
1079 |
-
int64_t num_keys = 0;
|
1080 |
-
ThrowOnError(GetApi().ModelMetadataGetCustomMetadataMapKeys(p_, allocator, &out, &num_keys));
|
1081 |
-
if (num_keys <= 0) {
|
1082 |
-
return result;
|
1083 |
-
}
|
1084 |
-
|
1085 |
-
// array of pointers will be freed
|
1086 |
-
std::unique_ptr<void, decltype(deletor)> array_guard(out, deletor);
|
1087 |
-
// reserve may throw
|
1088 |
-
auto strings_deletor = [&deletor, num_keys](char** out) { for(int64_t i = 0; i < num_keys; ++i) deletor(out[i]); };
|
1089 |
-
std::unique_ptr<char*, decltype(strings_deletor)> strings_guard(out, strings_deletor);
|
1090 |
-
result.reserve(static_cast<size_t>(num_keys));
|
1091 |
-
strings_guard.release();
|
1092 |
-
for (int64_t i = 0; i < num_keys; ++i) {
|
1093 |
-
result.push_back(AllocatedStringPtr(out[i], deletor));
|
1094 |
-
}
|
1095 |
-
|
1096 |
-
return result;
|
1097 |
-
}
|
1098 |
-
|
1099 |
-
inline int64_t ModelMetadata::GetVersion() const {
|
1100 |
-
int64_t out;
|
1101 |
-
ThrowOnError(GetApi().ModelMetadataGetVersion(p_, &out));
|
1102 |
-
return out;
|
1103 |
-
}
|
1104 |
-
|
1105 |
-
namespace detail {
|
1106 |
-
|
1107 |
-
template <typename T>
|
1108 |
-
inline ONNXTensorElementDataType TensorTypeAndShapeInfoImpl<T>::GetElementType() const {
|
1109 |
-
ONNXTensorElementDataType out;
|
1110 |
-
ThrowOnError(GetApi().GetTensorElementType(this->p_, &out));
|
1111 |
-
return out;
|
1112 |
-
}
|
1113 |
-
|
1114 |
-
template <typename T>
|
1115 |
-
inline size_t TensorTypeAndShapeInfoImpl<T>::GetElementCount() const {
|
1116 |
-
size_t out;
|
1117 |
-
ThrowOnError(GetApi().GetTensorShapeElementCount(this->p_, &out));
|
1118 |
-
return static_cast<size_t>(out);
|
1119 |
-
}
|
1120 |
-
|
1121 |
-
template <typename T>
|
1122 |
-
inline size_t TensorTypeAndShapeInfoImpl<T>::GetDimensionsCount() const {
|
1123 |
-
size_t out;
|
1124 |
-
ThrowOnError(GetApi().GetDimensionsCount(this->p_, &out));
|
1125 |
-
return out;
|
1126 |
-
}
|
1127 |
-
|
1128 |
-
template <typename T>
|
1129 |
-
inline void TensorTypeAndShapeInfoImpl<T>::GetDimensions(int64_t* values, size_t values_count) const {
|
1130 |
-
ThrowOnError(GetApi().GetDimensions(this->p_, values, values_count));
|
1131 |
-
}
|
1132 |
-
|
1133 |
-
template <typename T>
|
1134 |
-
inline void TensorTypeAndShapeInfoImpl<T>::GetSymbolicDimensions(const char** values, size_t values_count) const {
|
1135 |
-
ThrowOnError(GetApi().GetSymbolicDimensions(this->p_, values, values_count));
|
1136 |
-
}
|
1137 |
-
|
1138 |
-
template <typename T>
|
1139 |
-
inline std::vector<int64_t> TensorTypeAndShapeInfoImpl<T>::GetShape() const {
|
1140 |
-
std::vector<int64_t> out(GetDimensionsCount(), 0);
|
1141 |
-
ThrowOnError(GetApi().GetDimensions(this->p_, out.data(), out.size()));
|
1142 |
-
return out;
|
1143 |
-
}
|
1144 |
-
|
1145 |
-
template <typename T>
|
1146 |
-
inline ConstTensorTypeAndShapeInfo TypeInfoImpl<T>::GetTensorTypeAndShapeInfo() const {
|
1147 |
-
const OrtTensorTypeAndShapeInfo* out;
|
1148 |
-
ThrowOnError(GetApi().CastTypeInfoToTensorInfo(this->p_, &out));
|
1149 |
-
return ConstTensorTypeAndShapeInfo{out};
|
1150 |
-
}
|
1151 |
-
|
1152 |
-
template <typename T>
|
1153 |
-
inline ConstSequenceTypeInfo TypeInfoImpl<T>::GetSequenceTypeInfo() const {
|
1154 |
-
const OrtSequenceTypeInfo* out;
|
1155 |
-
ThrowOnError(GetApi().CastTypeInfoToSequenceTypeInfo(this->p_, &out));
|
1156 |
-
return ConstSequenceTypeInfo{out};
|
1157 |
-
}
|
1158 |
-
|
1159 |
-
template <typename T>
|
1160 |
-
inline ConstMapTypeInfo TypeInfoImpl<T>::GetMapTypeInfo() const {
|
1161 |
-
const OrtMapTypeInfo* out;
|
1162 |
-
ThrowOnError(GetApi().CastTypeInfoToMapTypeInfo(this->p_, &out));
|
1163 |
-
return ConstMapTypeInfo{out};
|
1164 |
-
}
|
1165 |
-
|
1166 |
-
template <typename T>
|
1167 |
-
inline ONNXType TypeInfoImpl<T>::GetONNXType() const {
|
1168 |
-
ONNXType out;
|
1169 |
-
ThrowOnError(GetApi().GetOnnxTypeFromTypeInfo(this->p_, &out));
|
1170 |
-
return out;
|
1171 |
-
}
|
1172 |
-
|
1173 |
-
template <typename T>
|
1174 |
-
inline TypeInfo SequenceTypeInfoImpl<T>::GetSequenceElementType() const {
|
1175 |
-
OrtTypeInfo* output;
|
1176 |
-
ThrowOnError(GetApi().GetSequenceElementType(this->p_, &output));
|
1177 |
-
return TypeInfo{output};
|
1178 |
-
}
|
1179 |
-
|
1180 |
-
template <typename T>
|
1181 |
-
inline TypeInfo OptionalTypeInfoImpl<T>::GetOptionalElementType() const {
|
1182 |
-
OrtTypeInfo* info;
|
1183 |
-
ThrowOnError(GetApi().GetOptionalContainedTypeInfo(this->p_, &info));
|
1184 |
-
return TypeInfo{info};
|
1185 |
-
}
|
1186 |
-
|
1187 |
-
template <typename T>
|
1188 |
-
inline ONNXTensorElementDataType MapTypeInfoImpl<T>::GetMapKeyType() const {
|
1189 |
-
ONNXTensorElementDataType out;
|
1190 |
-
ThrowOnError(GetApi().GetMapKeyType(this->p_, &out));
|
1191 |
-
return out;
|
1192 |
-
}
|
1193 |
-
|
1194 |
-
template <typename T>
|
1195 |
-
inline TypeInfo MapTypeInfoImpl<T>::GetMapValueType() const {
|
1196 |
-
OrtTypeInfo* output;
|
1197 |
-
ThrowOnError(GetApi().GetMapValueType(this->p_, &output));
|
1198 |
-
return TypeInfo{output};
|
1199 |
-
}
|
1200 |
-
|
1201 |
-
template <typename T>
|
1202 |
-
inline ConstOptionalTypeInfo TypeInfoImpl<T>::GetOptionalTypeInfo() const {
|
1203 |
-
const OrtOptionalTypeInfo* info;
|
1204 |
-
ThrowOnError(GetApi().CastTypeInfoToOptionalTypeInfo(this->p_, &info));
|
1205 |
-
return ConstOptionalTypeInfo{info};
|
1206 |
-
}
|
1207 |
-
|
1208 |
-
} // namespace detail
|
1209 |
-
|
1210 |
-
namespace detail {
|
1211 |
-
|
1212 |
-
template <typename T>
|
1213 |
-
template <typename R>
|
1214 |
-
inline void ConstValueImpl<T>::GetOpaqueData(const char* domain, const char* type_name, R& out) const {
|
1215 |
-
ThrowOnError(GetApi().GetOpaqueValue(domain, type_name, this->p_, &out, sizeof(R)));
|
1216 |
-
}
|
1217 |
-
|
1218 |
-
template <typename T>
|
1219 |
-
inline bool ConstValueImpl<T>::IsTensor() const {
|
1220 |
-
int out;
|
1221 |
-
ThrowOnError(GetApi().IsTensor(this->p_, &out));
|
1222 |
-
return out != 0;
|
1223 |
-
}
|
1224 |
-
|
1225 |
-
template <typename T>
|
1226 |
-
inline bool ConstValueImpl<T>::HasValue() const {
|
1227 |
-
int out;
|
1228 |
-
ThrowOnError(GetApi().HasValue(this->p_, &out));
|
1229 |
-
return out != 0;
|
1230 |
-
}
|
1231 |
-
|
1232 |
-
template <typename T>
|
1233 |
-
inline size_t ConstValueImpl<T>::GetCount() const {
|
1234 |
-
size_t out;
|
1235 |
-
ThrowOnError(GetApi().GetValueCount(this->p_, &out));
|
1236 |
-
return out;
|
1237 |
-
}
|
1238 |
-
|
1239 |
-
template <typename T>
|
1240 |
-
inline Value ConstValueImpl<T>::GetValue(int index, OrtAllocator* allocator) const {
|
1241 |
-
OrtValue* out;
|
1242 |
-
ThrowOnError(GetApi().GetValue(this->p_, index, allocator, &out));
|
1243 |
-
return Value{out};
|
1244 |
-
}
|
1245 |
-
|
1246 |
-
template <typename T>
|
1247 |
-
inline size_t ConstValueImpl<T>::GetStringTensorDataLength() const {
|
1248 |
-
size_t out;
|
1249 |
-
ThrowOnError(GetApi().GetStringTensorDataLength(this->p_, &out));
|
1250 |
-
return out;
|
1251 |
-
}
|
1252 |
-
|
1253 |
-
template <typename T>
|
1254 |
-
inline size_t ConstValueImpl<T>::GetStringTensorElementLength(size_t element_index) const {
|
1255 |
-
size_t out;
|
1256 |
-
ThrowOnError(GetApi().GetStringTensorElementLength(this->p_, element_index, &out));
|
1257 |
-
return out;
|
1258 |
-
}
|
1259 |
-
|
1260 |
-
template <typename T>
|
1261 |
-
template <typename R>
|
1262 |
-
inline const R* ConstValueImpl<T>::GetTensorData() const {
|
1263 |
-
R* out;
|
1264 |
-
ThrowOnError(GetApi().GetTensorMutableData(const_cast<OrtValue*>(this->p_), (void**)&out));
|
1265 |
-
return out;
|
1266 |
-
}
|
1267 |
-
|
1268 |
-
template <typename T>
|
1269 |
-
inline const void* ConstValueImpl<T>::GetTensorRawData() const {
|
1270 |
-
void* out;
|
1271 |
-
ThrowOnError(GetApi().GetTensorMutableData(const_cast<OrtValue*>(this->p_), &out));
|
1272 |
-
return out;
|
1273 |
-
}
|
1274 |
-
|
1275 |
-
template <typename T>
|
1276 |
-
inline TypeInfo ConstValueImpl<T>::GetTypeInfo() const {
|
1277 |
-
OrtTypeInfo* output;
|
1278 |
-
ThrowOnError(GetApi().GetTypeInfo(this->p_, &output));
|
1279 |
-
return TypeInfo{output};
|
1280 |
-
}
|
1281 |
-
|
1282 |
-
template <typename T>
|
1283 |
-
inline TensorTypeAndShapeInfo ConstValueImpl<T>::GetTensorTypeAndShapeInfo() const {
|
1284 |
-
OrtTensorTypeAndShapeInfo* output;
|
1285 |
-
ThrowOnError(GetApi().GetTensorTypeAndShape(this->p_, &output));
|
1286 |
-
return TensorTypeAndShapeInfo{output};
|
1287 |
-
}
|
1288 |
-
|
1289 |
-
template <typename T>
|
1290 |
-
inline ConstMemoryInfo ConstValueImpl<T>::GetTensorMemoryInfo() const {
|
1291 |
-
const OrtMemoryInfo* mem_info;
|
1292 |
-
ThrowOnError(GetApi().GetTensorMemoryInfo(this->p_, &mem_info));
|
1293 |
-
return ConstMemoryInfo(mem_info);
|
1294 |
-
}
|
1295 |
-
|
1296 |
-
template <typename T>
|
1297 |
-
inline void ConstValueImpl<T>::GetStringTensorElement(size_t buffer_length, size_t element_index, void* buffer) const {
|
1298 |
-
ThrowOnError(GetApi().GetStringTensorElement(this->p_, buffer_length, element_index, buffer));
|
1299 |
-
}
|
1300 |
-
|
1301 |
-
template <typename T>
|
1302 |
-
inline std::string ConstValueImpl<T>::GetStringTensorElement(size_t element_index) const {
|
1303 |
-
size_t buffer_length;
|
1304 |
-
ThrowOnError(GetApi().GetStringTensorElementLength(this->p_, element_index, &buffer_length));
|
1305 |
-
|
1306 |
-
std::string s;
|
1307 |
-
s.resize(buffer_length);
|
1308 |
-
ThrowOnError(GetApi().GetStringTensorElement(this->p_, buffer_length, element_index, &s[0]));
|
1309 |
-
return s;
|
1310 |
-
}
|
1311 |
-
|
1312 |
-
template <typename T>
|
1313 |
-
inline void ConstValueImpl<T>::GetStringTensorContent(void* buffer, size_t buffer_length, size_t* offsets, size_t offsets_count) const {
|
1314 |
-
ThrowOnError(GetApi().GetStringTensorContent(this->p_, buffer, buffer_length, offsets, offsets_count));
|
1315 |
-
}
|
1316 |
-
|
1317 |
-
#if !defined(DISABLE_SPARSE_TENSORS)
|
1318 |
-
template <typename T>
|
1319 |
-
inline OrtSparseFormat ConstValueImpl<T>::GetSparseFormat() const {
|
1320 |
-
OrtSparseFormat format;
|
1321 |
-
ThrowOnError(GetApi().GetSparseTensorFormat(this->p_, &format));
|
1322 |
-
return format;
|
1323 |
-
}
|
1324 |
-
|
1325 |
-
template <typename T>
|
1326 |
-
inline TensorTypeAndShapeInfo ConstValueImpl<T>::GetSparseTensorValuesTypeAndShapeInfo() const {
|
1327 |
-
OrtTensorTypeAndShapeInfo* output;
|
1328 |
-
ThrowOnError(GetApi().GetSparseTensorValuesTypeAndShape(this->p_, &output));
|
1329 |
-
return TensorTypeAndShapeInfo{output};
|
1330 |
-
}
|
1331 |
-
|
1332 |
-
template <typename T>
|
1333 |
-
inline TensorTypeAndShapeInfo ConstValueImpl<T>::GetSparseTensorIndicesTypeShapeInfo(OrtSparseIndicesFormat indices_format) const {
|
1334 |
-
OrtTensorTypeAndShapeInfo* output;
|
1335 |
-
ThrowOnError(GetApi().GetSparseTensorIndicesTypeShape(this->p_, indices_format, &output));
|
1336 |
-
return TensorTypeAndShapeInfo{output};
|
1337 |
-
}
|
1338 |
-
|
1339 |
-
template <typename T>
|
1340 |
-
template <typename R>
|
1341 |
-
inline const R* ConstValueImpl<T>::GetSparseTensorIndicesData(OrtSparseIndicesFormat indices_format, size_t& num_indices) const {
|
1342 |
-
const void* out;
|
1343 |
-
ThrowOnError(GetApi().GetSparseTensorIndices(this->p_, indices_format, &num_indices, &out));
|
1344 |
-
return reinterpret_cast<const R*>(out);
|
1345 |
-
}
|
1346 |
-
|
1347 |
-
template <typename T>
|
1348 |
-
inline bool ConstValueImpl<T>::IsSparseTensor() const {
|
1349 |
-
int out;
|
1350 |
-
ThrowOnError(GetApi().IsSparseTensor(this->p_, &out));
|
1351 |
-
return out != 0;
|
1352 |
-
}
|
1353 |
-
|
1354 |
-
template <typename T>
|
1355 |
-
template <typename R>
|
1356 |
-
inline const R* ConstValueImpl<T>::GetSparseTensorValues() const {
|
1357 |
-
const void* out;
|
1358 |
-
ThrowOnError(GetApi().GetSparseTensorValues(this->p_, &out));
|
1359 |
-
return reinterpret_cast<const R*>(out);
|
1360 |
-
}
|
1361 |
-
|
1362 |
-
#endif
|
1363 |
-
|
1364 |
-
template <typename T>
|
1365 |
-
void ValueImpl<T>::FillStringTensor(const char* const* s, size_t s_len) {
|
1366 |
-
ThrowOnError(GetApi().FillStringTensor(this->p_, s, s_len));
|
1367 |
-
}
|
1368 |
-
|
1369 |
-
template <typename T>
|
1370 |
-
void ValueImpl<T>::FillStringTensorElement(const char* s, size_t index) {
|
1371 |
-
ThrowOnError(GetApi().FillStringTensorElement(this->p_, s, index));
|
1372 |
-
}
|
1373 |
-
|
1374 |
-
template <typename T>
|
1375 |
-
inline char* ValueImpl<T>::GetResizedStringTensorElementBuffer(size_t index, size_t buffer_length) {
|
1376 |
-
char* result;
|
1377 |
-
ThrowOnError(GetApi().GetResizedStringTensorElementBuffer(this->p_, index, buffer_length, &result));
|
1378 |
-
return result;
|
1379 |
-
}
|
1380 |
-
|
1381 |
-
template <typename T>
|
1382 |
-
void* ValueImpl<T>::GetTensorMutableRawData() {
|
1383 |
-
void* out;
|
1384 |
-
ThrowOnError(GetApi().GetTensorMutableData(this->p_, &out));
|
1385 |
-
return out;
|
1386 |
-
}
|
1387 |
-
|
1388 |
-
template <typename T>
|
1389 |
-
template <typename R>
|
1390 |
-
R* ValueImpl<T>::GetTensorMutableData() {
|
1391 |
-
R* out;
|
1392 |
-
ThrowOnError(GetApi().GetTensorMutableData(this->p_, (void**)&out));
|
1393 |
-
return out;
|
1394 |
-
}
|
1395 |
-
|
1396 |
-
template <typename T>
|
1397 |
-
template <typename R>
|
1398 |
-
R& ValueImpl<T>::At(const std::vector<int64_t>& location) {
|
1399 |
-
static_assert(!std::is_same<T, std::string>::value, "this api does not support std::string");
|
1400 |
-
R* out;
|
1401 |
-
ThrowOnError(GetApi().TensorAt(this->p_, location.data(), location.size(), (void**)&out));
|
1402 |
-
return *out;
|
1403 |
-
}
|
1404 |
-
|
1405 |
-
#if !defined(DISABLE_SPARSE_TENSORS)
|
1406 |
-
template <typename T>
|
1407 |
-
void ValueImpl<T>::UseCooIndices(int64_t* indices_data, size_t indices_num) {
|
1408 |
-
ThrowOnError(GetApi().UseCooIndices(this->p_, indices_data, indices_num));
|
1409 |
-
}
|
1410 |
-
|
1411 |
-
template <typename T>
|
1412 |
-
void ValueImpl<T>::UseCsrIndices(int64_t* inner_data, size_t inner_num, int64_t* outer_data, size_t outer_num) {
|
1413 |
-
ThrowOnError(GetApi().UseCsrIndices(this->p_, inner_data, inner_num, outer_data, outer_num));
|
1414 |
-
}
|
1415 |
-
|
1416 |
-
template <typename T>
|
1417 |
-
void ValueImpl<T>::UseBlockSparseIndices(const Shape& indices_shape, int32_t* indices_data) {
|
1418 |
-
ThrowOnError(GetApi().UseBlockSparseIndices(this->p_, indices_shape.shape, indices_shape.shape_len, indices_data));
|
1419 |
-
}
|
1420 |
-
|
1421 |
-
template <typename T>
|
1422 |
-
void ValueImpl<T>::FillSparseTensorCoo(const OrtMemoryInfo* mem_info, const OrtSparseValuesParam& values_param,
|
1423 |
-
const int64_t* indices_data, size_t indices_num) {
|
1424 |
-
ThrowOnError(GetApi().FillSparseTensorCoo(this->p_, mem_info, values_param.values_shape,
|
1425 |
-
values_param.values_shape_len, values_param.data.p_data,
|
1426 |
-
indices_data, indices_num));
|
1427 |
-
}
|
1428 |
-
|
1429 |
-
template <typename T>
|
1430 |
-
void ValueImpl<T>::FillSparseTensorCsr(const OrtMemoryInfo* data_mem_info,
|
1431 |
-
const OrtSparseValuesParam& values,
|
1432 |
-
const int64_t* inner_indices_data, size_t inner_indices_num,
|
1433 |
-
const int64_t* outer_indices_data, size_t outer_indices_num) {
|
1434 |
-
ThrowOnError(GetApi().FillSparseTensorCsr(this->p_, data_mem_info, values.values_shape, values.values_shape_len, values.data.p_data,
|
1435 |
-
inner_indices_data, inner_indices_num,
|
1436 |
-
outer_indices_data, outer_indices_num));
|
1437 |
-
}
|
1438 |
-
|
1439 |
-
template <typename T>
|
1440 |
-
void ValueImpl<T>::FillSparseTensorBlockSparse(const OrtMemoryInfo* data_mem_info,
|
1441 |
-
const OrtSparseValuesParam& values,
|
1442 |
-
const Shape& indices_shape,
|
1443 |
-
const int32_t* indices_data) {
|
1444 |
-
ThrowOnError(GetApi().FillSparseTensorBlockSparse(this->p_, data_mem_info, values.values_shape, values.values_shape_len, values.data.p_data,
|
1445 |
-
indices_shape.shape, indices_shape.shape_len,
|
1446 |
-
indices_data));
|
1447 |
-
}
|
1448 |
-
|
1449 |
-
#endif // !defined(DISABLE_SPARSE_TENSORS)
|
1450 |
-
|
1451 |
-
} // namespace detail
|
1452 |
-
|
1453 |
-
template <typename T>
|
1454 |
-
inline Value Value::CreateTensor(const OrtMemoryInfo* info, T* p_data, size_t p_data_element_count, const int64_t* shape, size_t shape_len) {
|
1455 |
-
return CreateTensor(info, p_data, p_data_element_count * sizeof(T), shape, shape_len, TypeToTensorType<T>::type);
|
1456 |
-
}
|
1457 |
-
|
1458 |
-
inline Value Value::CreateTensor(const OrtMemoryInfo* info, void* p_data, size_t p_data_byte_count, const int64_t* shape, size_t shape_len,
|
1459 |
-
ONNXTensorElementDataType type) {
|
1460 |
-
OrtValue* out;
|
1461 |
-
ThrowOnError(GetApi().CreateTensorWithDataAsOrtValue(info, p_data, p_data_byte_count, shape, shape_len, type, &out));
|
1462 |
-
return Value{out};
|
1463 |
-
}
|
1464 |
-
|
1465 |
-
template <typename T>
|
1466 |
-
inline Value Value::CreateTensor(OrtAllocator* allocator, const int64_t* shape, size_t shape_len) {
|
1467 |
-
return CreateTensor(allocator, shape, shape_len, TypeToTensorType<T>::type);
|
1468 |
-
}
|
1469 |
-
|
1470 |
-
inline Value Value::CreateTensor(OrtAllocator* allocator, const int64_t* shape, size_t shape_len, ONNXTensorElementDataType type) {
|
1471 |
-
OrtValue* out;
|
1472 |
-
ThrowOnError(GetApi().CreateTensorAsOrtValue(allocator, shape, shape_len, type, &out));
|
1473 |
-
return Value{out};
|
1474 |
-
}
|
1475 |
-
|
1476 |
-
#if !defined(DISABLE_SPARSE_TENSORS)
|
1477 |
-
|
1478 |
-
template <typename T>
|
1479 |
-
inline Value Value::CreateSparseTensor(const OrtMemoryInfo* info, T* p_data, const Shape& dense_shape,
|
1480 |
-
const Shape& values_shape) {
|
1481 |
-
return CreateSparseTensor(info, p_data, dense_shape, values_shape, TypeToTensorType<T>::type);
|
1482 |
-
}
|
1483 |
-
|
1484 |
-
inline Value Value::CreateSparseTensor(const OrtMemoryInfo* info, void* p_data, const Shape& dense_shape,
|
1485 |
-
const Shape& values_shape, ONNXTensorElementDataType type) {
|
1486 |
-
OrtValue* out;
|
1487 |
-
ThrowOnError(GetApi().CreateSparseTensorWithValuesAsOrtValue(info, p_data, dense_shape.shape, dense_shape.shape_len,
|
1488 |
-
values_shape.shape, values_shape.shape_len, type, &out));
|
1489 |
-
return Value{out};
|
1490 |
-
}
|
1491 |
-
|
1492 |
-
template <typename T>
|
1493 |
-
inline Value Value::CreateSparseTensor(OrtAllocator* allocator, const Shape& dense_shape) {
|
1494 |
-
return CreateSparseTensor(allocator, dense_shape, TypeToTensorType<T>::type);
|
1495 |
-
}
|
1496 |
-
|
1497 |
-
inline Value Value::CreateSparseTensor(OrtAllocator* allocator, const Shape& dense_shape,
|
1498 |
-
ONNXTensorElementDataType type) {
|
1499 |
-
OrtValue* out;
|
1500 |
-
ThrowOnError(GetApi().CreateSparseTensorAsOrtValue(allocator, dense_shape.shape, dense_shape.shape_len, type, &out));
|
1501 |
-
return Value{out};
|
1502 |
-
}
|
1503 |
-
#endif // !defined(DISABLE_SPARSE_TENSORS)
|
1504 |
-
|
1505 |
-
inline Value Value::CreateMap(const Value& keys, const Value& values) {
|
1506 |
-
OrtValue* out;
|
1507 |
-
const OrtValue* inputs[2] = {keys, values};
|
1508 |
-
ThrowOnError(GetApi().CreateValue(inputs, 2, ONNX_TYPE_MAP, &out));
|
1509 |
-
return Value{out};
|
1510 |
-
}
|
1511 |
-
|
1512 |
-
inline Value Value::CreateSequence(const std::vector<Value>& values) {
|
1513 |
-
OrtValue* out;
|
1514 |
-
std::vector<const OrtValue*> values_ort{values.data(), values.data() + values.size()};
|
1515 |
-
ThrowOnError(GetApi().CreateValue(values_ort.data(), values_ort.size(), ONNX_TYPE_SEQUENCE, &out));
|
1516 |
-
return Value{out};
|
1517 |
-
}
|
1518 |
-
|
1519 |
-
template <typename T>
|
1520 |
-
inline Value Value::CreateOpaque(const char* domain, const char* type_name, const T& data_container) {
|
1521 |
-
OrtValue* out;
|
1522 |
-
ThrowOnError(GetApi().CreateOpaqueValue(domain, type_name, &data_container, sizeof(T), &out));
|
1523 |
-
return Value{out};
|
1524 |
-
}
|
1525 |
-
|
1526 |
-
//
|
1527 |
-
// Custom OP Inlines
|
1528 |
-
//
|
1529 |
-
inline Logger::Logger(const OrtLogger* logger) : logger_(logger) {
|
1530 |
-
Ort::ThrowOnError(GetApi().Logger_GetLoggingSeverityLevel(this->logger_, &this->cached_severity_level_));
|
1531 |
-
}
|
1532 |
-
|
1533 |
-
inline OrtLoggingLevel Logger::GetLoggingSeverityLevel() const noexcept {
|
1534 |
-
return cached_severity_level_;
|
1535 |
-
}
|
1536 |
-
|
1537 |
-
inline Status Logger::LogMessage(OrtLoggingLevel log_severity_level, const ORTCHAR_T* file_path, int line_number,
|
1538 |
-
const char* func_name, const char* message) const noexcept {
|
1539 |
-
OrtStatus* status = GetApi().Logger_LogMessage(logger_, log_severity_level, message, file_path, line_number,
|
1540 |
-
func_name);
|
1541 |
-
return Status{status};
|
1542 |
-
}
|
1543 |
-
|
1544 |
-
// Disable warnings about the format string not being a literal (-Wformat-nonliteral and -Wformat-security)
|
1545 |
-
// for gcc and clang. The alternative is to use actual C-style variadic parameters and apply
|
1546 |
-
// __attribute__(format(printf...)), which does not work with variadic templates.
|
1547 |
-
#if defined(__GNUC__)
|
1548 |
-
#pragma GCC diagnostic push
|
1549 |
-
#pragma GCC diagnostic ignored "-Wformat-nonliteral"
|
1550 |
-
#pragma GCC diagnostic ignored "-Wformat-security"
|
1551 |
-
#elif defined(__clang__)
|
1552 |
-
#pragma clang diagnostic push
|
1553 |
-
#pragma clang diagnostic ignored "-Wformat-nonliteral"
|
1554 |
-
#pragma clang diagnostic ignored "-Wformat-security"
|
1555 |
-
#endif
|
1556 |
-
template <typename... Args>
|
1557 |
-
inline Status Logger::LogFormattedMessage(OrtLoggingLevel log_severity_level, const ORTCHAR_T* file_path,
|
1558 |
-
int line_number, const char* func_name, const char* format,
|
1559 |
-
Args&&... args) const noexcept {
|
1560 |
-
int msg_len = std::snprintf(nullptr, 0U, format, std::forward<Args>(args)...);
|
1561 |
-
|
1562 |
-
if (msg_len < 0) { // Formatting error
|
1563 |
-
return Status("Failed to log message due to formatting error", OrtErrorCode::ORT_FAIL);
|
1564 |
-
}
|
1565 |
-
|
1566 |
-
OrtStatus* status = nullptr;
|
1567 |
-
const size_t buffer_size = static_cast<size_t>(msg_len) + 1U;
|
1568 |
-
|
1569 |
-
constexpr size_t kStackBufferSize = 1024;
|
1570 |
-
|
1571 |
-
if (buffer_size < kStackBufferSize) {
|
1572 |
-
char buffer[kStackBufferSize];
|
1573 |
-
snprintf(buffer, kStackBufferSize, format, std::forward<Args>(args)...);
|
1574 |
-
status = GetApi().Logger_LogMessage(logger_, log_severity_level, buffer, file_path, line_number, func_name);
|
1575 |
-
} else {
|
1576 |
-
// std::make_unique is only supported starting at C++14.
|
1577 |
-
#if (__cplusplus >= 201402L) || (_MSC_VER >= 1900)
|
1578 |
-
auto buffer = std::make_unique<char[]>(buffer_size);
|
1579 |
-
#else
|
1580 |
-
std::unique_ptr<char[]> buffer(new char[buffer_size]);
|
1581 |
-
#endif
|
1582 |
-
std::snprintf(buffer.get(), buffer_size, format, std::forward<Args>(args)...);
|
1583 |
-
status = GetApi().Logger_LogMessage(logger_, log_severity_level, buffer.get(), file_path, line_number, func_name);
|
1584 |
-
}
|
1585 |
-
|
1586 |
-
return Status{status};
|
1587 |
-
}
|
1588 |
-
// Re-enable -Wformat-nonliteral and -Wformat-security
|
1589 |
-
#if defined(__GNUC__)
|
1590 |
-
#pragma GCC diagnostic pop
|
1591 |
-
#elif defined(__clang__)
|
1592 |
-
#pragma clang diagnostic pop
|
1593 |
-
#endif
|
1594 |
-
|
1595 |
-
inline KernelContext::KernelContext(OrtKernelContext* context) : ctx_(context) {
|
1596 |
-
}
|
1597 |
-
|
1598 |
-
inline size_t KernelContext::GetInputCount() const {
|
1599 |
-
size_t out = 0;
|
1600 |
-
Ort::ThrowOnError(GetApi().KernelContext_GetInputCount(ctx_, &out));
|
1601 |
-
return out;
|
1602 |
-
}
|
1603 |
-
|
1604 |
-
inline size_t KernelContext::GetOutputCount() const {
|
1605 |
-
size_t out = 0;
|
1606 |
-
Ort::ThrowOnError(GetApi().KernelContext_GetOutputCount(ctx_, &out));
|
1607 |
-
return out;
|
1608 |
-
}
|
1609 |
-
|
1610 |
-
inline ConstValue KernelContext::GetInput(size_t index) const {
|
1611 |
-
const OrtValue* out = nullptr;
|
1612 |
-
Ort::ThrowOnError(GetApi().KernelContext_GetInput(ctx_, index, &out));
|
1613 |
-
return ConstValue{out};
|
1614 |
-
}
|
1615 |
-
|
1616 |
-
inline UnownedValue KernelContext::GetOutput(size_t index, const int64_t* dim_values, size_t dim_count) const {
|
1617 |
-
OrtValue* out = nullptr;
|
1618 |
-
Ort::ThrowOnError(GetApi().KernelContext_GetOutput(ctx_, index, dim_values, dim_count, &out));
|
1619 |
-
return UnownedValue(out);
|
1620 |
-
}
|
1621 |
-
|
1622 |
-
inline UnownedValue KernelContext::GetOutput(size_t index, const std::vector<int64_t>& dims) const {
|
1623 |
-
OrtValue* out = nullptr;
|
1624 |
-
Ort::ThrowOnError(GetApi().KernelContext_GetOutput(ctx_, index, dims.data(), dims.size(), &out));
|
1625 |
-
return UnownedValue(out);
|
1626 |
-
}
|
1627 |
-
|
1628 |
-
inline void* KernelContext::GetGPUComputeStream() const {
|
1629 |
-
void* out = nullptr;
|
1630 |
-
Ort::ThrowOnError(GetApi().KernelContext_GetGPUComputeStream(ctx_, &out));
|
1631 |
-
return out;
|
1632 |
-
}
|
1633 |
-
|
1634 |
-
inline OrtAllocator* KernelContext::GetAllocator(const OrtMemoryInfo& memory_info) const {
|
1635 |
-
OrtAllocator* out = nullptr;
|
1636 |
-
Ort::ThrowOnError(GetApi().KernelContext_GetAllocator(ctx_, &memory_info, &out));
|
1637 |
-
return out;
|
1638 |
-
}
|
1639 |
-
|
1640 |
-
inline Logger KernelContext::GetLogger() const {
|
1641 |
-
const OrtLogger* out = nullptr;
|
1642 |
-
ThrowOnError(GetApi().KernelContext_GetLogger(this->ctx_, &out));
|
1643 |
-
return Logger{out};
|
1644 |
-
}
|
1645 |
-
|
1646 |
-
inline OpAttr::OpAttr(const char* name, const void* data, int len, OrtOpAttrType type) {
|
1647 |
-
Ort::ThrowOnError(GetApi().CreateOpAttr(name, data, len, type, &p_));
|
1648 |
-
}
|
1649 |
-
|
1650 |
-
namespace detail {
|
1651 |
-
template <typename T>
|
1652 |
-
inline KernelInfo KernelInfoImpl<T>::Copy() const {
|
1653 |
-
OrtKernelInfo* info_copy = nullptr;
|
1654 |
-
Ort::ThrowOnError(GetApi().CopyKernelInfo(this->p_, &info_copy));
|
1655 |
-
return KernelInfo{info_copy};
|
1656 |
-
}
|
1657 |
-
|
1658 |
-
template <typename T>
|
1659 |
-
inline size_t KernelInfoImpl<T>::GetInputCount() const {
|
1660 |
-
size_t out = 0;
|
1661 |
-
ThrowOnError(GetApi().KernelInfo_GetInputCount(this->p_, &out));
|
1662 |
-
return out;
|
1663 |
-
}
|
1664 |
-
|
1665 |
-
template <typename T>
|
1666 |
-
inline size_t KernelInfoImpl<T>::GetOutputCount() const {
|
1667 |
-
size_t out = 0;
|
1668 |
-
ThrowOnError(GetApi().KernelInfo_GetOutputCount(this->p_, &out));
|
1669 |
-
return out;
|
1670 |
-
}
|
1671 |
-
|
1672 |
-
template <typename T>
|
1673 |
-
inline std::string KernelInfoImpl<T>::GetInputName(size_t index) const {
|
1674 |
-
size_t size = 0;
|
1675 |
-
|
1676 |
-
// Feed nullptr for the data buffer to query the true size of the string value
|
1677 |
-
Ort::ThrowOnError(GetApi().KernelInfo_GetInputName(this->p_, index, nullptr, &size));
|
1678 |
-
|
1679 |
-
std::string out;
|
1680 |
-
out.resize(size);
|
1681 |
-
Ort::ThrowOnError(GetApi().KernelInfo_GetInputName(this->p_, index, &out[0], &size));
|
1682 |
-
out.resize(size - 1); // remove the terminating character '\0'
|
1683 |
-
|
1684 |
-
return out;
|
1685 |
-
}
|
1686 |
-
|
1687 |
-
template <typename T>
|
1688 |
-
inline std::string KernelInfoImpl<T>::GetOutputName(size_t index) const {
|
1689 |
-
size_t size = 0;
|
1690 |
-
|
1691 |
-
// Feed nullptr for the data buffer to query the true size of the string value
|
1692 |
-
Ort::ThrowOnError(GetApi().KernelInfo_GetOutputName(this->p_, index, nullptr, &size));
|
1693 |
-
|
1694 |
-
std::string out;
|
1695 |
-
out.resize(size);
|
1696 |
-
Ort::ThrowOnError(GetApi().KernelInfo_GetOutputName(this->p_, index, &out[0], &size));
|
1697 |
-
out.resize(size - 1); // remove the terminating character '\0'
|
1698 |
-
|
1699 |
-
return out;
|
1700 |
-
}
|
1701 |
-
|
1702 |
-
template <typename T>
|
1703 |
-
inline TypeInfo KernelInfoImpl<T>::GetInputTypeInfo(size_t index) const {
|
1704 |
-
OrtTypeInfo* out = nullptr;
|
1705 |
-
ThrowOnError(GetApi().KernelInfo_GetInputTypeInfo(this->p_, index, &out));
|
1706 |
-
return TypeInfo{out};
|
1707 |
-
}
|
1708 |
-
|
1709 |
-
template <typename T>
|
1710 |
-
inline TypeInfo KernelInfoImpl<T>::GetOutputTypeInfo(size_t index) const {
|
1711 |
-
OrtTypeInfo* out = nullptr;
|
1712 |
-
ThrowOnError(GetApi().KernelInfo_GetOutputTypeInfo(this->p_, index, &out));
|
1713 |
-
return TypeInfo{out};
|
1714 |
-
}
|
1715 |
-
|
1716 |
-
template <typename T>
|
1717 |
-
inline Value KernelInfoImpl<T>::GetTensorAttribute(const char* name, OrtAllocator* allocator) const {
|
1718 |
-
OrtValue* out = nullptr;
|
1719 |
-
ThrowOnError(GetApi().KernelInfoGetAttribute_tensor(this->p_, name, allocator, &out));
|
1720 |
-
return Value{out};
|
1721 |
-
}
|
1722 |
-
|
1723 |
-
template <typename T>
|
1724 |
-
inline ConstValue KernelInfoImpl<T>::GetTensorConstantInput(size_t index, int* is_constant) const {
|
1725 |
-
const OrtValue* out = nullptr;
|
1726 |
-
ThrowOnError(GetApi().KernelInfoGetConstantInput_tensor(this->p_, index, is_constant, &out));
|
1727 |
-
return ConstValue{out};
|
1728 |
-
}
|
1729 |
-
|
1730 |
-
template <typename T>
|
1731 |
-
inline std::string KernelInfoImpl<T>::GetNodeName() const {
|
1732 |
-
size_t size = 0;
|
1733 |
-
|
1734 |
-
// Feed nullptr for the data buffer to query the true size of the string value
|
1735 |
-
Ort::ThrowOnError(GetApi().KernelInfo_GetNodeName(this->p_, nullptr, &size));
|
1736 |
-
|
1737 |
-
std::string out;
|
1738 |
-
out.resize(size);
|
1739 |
-
Ort::ThrowOnError(GetApi().KernelInfo_GetNodeName(this->p_, &out[0], &size));
|
1740 |
-
out.resize(size - 1); // remove the terminating character '\0'
|
1741 |
-
|
1742 |
-
return out;
|
1743 |
-
}
|
1744 |
-
|
1745 |
-
template <typename T>
|
1746 |
-
inline Logger KernelInfoImpl<T>::GetLogger() const {
|
1747 |
-
const OrtLogger* out = nullptr;
|
1748 |
-
ThrowOnError(GetApi().KernelInfo_GetLogger(this->p_, &out));
|
1749 |
-
return Logger{out};
|
1750 |
-
}
|
1751 |
-
|
1752 |
-
inline void attr_utils::GetAttr(const OrtKernelInfo* p, const char* name, float& out) {
|
1753 |
-
Ort::ThrowOnError(GetApi().KernelInfoGetAttribute_float(p, name, &out));
|
1754 |
-
}
|
1755 |
-
|
1756 |
-
inline void attr_utils::GetAttr(const OrtKernelInfo* p, const char* name, int64_t& out) {
|
1757 |
-
Ort::ThrowOnError(GetApi().KernelInfoGetAttribute_int64(p, name, &out));
|
1758 |
-
}
|
1759 |
-
|
1760 |
-
inline void attr_utils::GetAttr(const OrtKernelInfo* p, const char* name, std::string& result) {
|
1761 |
-
size_t size = 0;
|
1762 |
-
// Feed nullptr for the data buffer to query the true size of the string attribute
|
1763 |
-
Ort::ThrowOnError(GetApi().KernelInfoGetAttribute_string(p, name, nullptr, &size));
|
1764 |
-
|
1765 |
-
std::string out;
|
1766 |
-
out.resize(size);
|
1767 |
-
Ort::ThrowOnError(GetApi().KernelInfoGetAttribute_string(p, name, &out[0], &size));
|
1768 |
-
out.resize(size - 1); // remove the terminating character '\0'
|
1769 |
-
out.swap(result);
|
1770 |
-
}
|
1771 |
-
|
1772 |
-
inline void attr_utils::GetAttrs(const OrtKernelInfo* p, const char* name, std::vector<float>& result) {
|
1773 |
-
size_t size = 0;
|
1774 |
-
// Feed nullptr for the data buffer to query the true size of the attribute
|
1775 |
-
Ort::ThrowOnError(GetApi().KernelInfoGetAttributeArray_float(p, name, nullptr, &size));
|
1776 |
-
|
1777 |
-
std::vector<float> out;
|
1778 |
-
out.resize(size);
|
1779 |
-
Ort::ThrowOnError(GetApi().KernelInfoGetAttributeArray_float(p, name, out.data(), &size));
|
1780 |
-
out.swap(result);
|
1781 |
-
}
|
1782 |
-
|
1783 |
-
inline void attr_utils::GetAttrs(const OrtKernelInfo* p, const char* name, std::vector<int64_t>& result) {
|
1784 |
-
size_t size = 0;
|
1785 |
-
|
1786 |
-
// Feed nullptr for the data buffer to query the true size of the attribute
|
1787 |
-
Ort::ThrowOnError(GetApi().KernelInfoGetAttributeArray_int64(p, name, nullptr, &size));
|
1788 |
-
|
1789 |
-
std::vector<int64_t> out;
|
1790 |
-
out.resize(size);
|
1791 |
-
Ort::ThrowOnError(GetApi().KernelInfoGetAttributeArray_int64(p, name, out.data(), &size));
|
1792 |
-
out.swap(result);
|
1793 |
-
}
|
1794 |
-
} // namespace detail
|
1795 |
-
|
1796 |
-
inline KernelInfo::KernelInfo(OrtKernelInfo* info) : detail::KernelInfoImpl<OrtKernelInfo>{info} {}
|
1797 |
-
|
1798 |
-
inline Op::Op(OrtOp* p) : Base<OrtOp>(p) {}
|
1799 |
-
|
1800 |
-
inline Op Op::Create(const OrtKernelInfo* info, const char* op_name, const char* domain, int version,
|
1801 |
-
const char** type_constraint_names,
|
1802 |
-
const ONNXTensorElementDataType* type_constraint_values,
|
1803 |
-
size_t type_constraint_count,
|
1804 |
-
const OpAttr* attr_values, size_t attr_count,
|
1805 |
-
size_t input_count, size_t output_count) {
|
1806 |
-
static_assert(sizeof(OpAttr) == sizeof(OrtOpAttr*),
|
1807 |
-
"OpAttr's is expected to be just an array of OrtOpAttr in memory so we can reinterpret safely");
|
1808 |
-
auto attr_input_values = reinterpret_cast<const OrtOpAttr* const*>(attr_values);
|
1809 |
-
OrtOp* op;
|
1810 |
-
Ort::ThrowOnError(GetApi().CreateOp(info, op_name, domain, version, type_constraint_names, type_constraint_values,
|
1811 |
-
static_cast<int>(type_constraint_count),
|
1812 |
-
attr_input_values,
|
1813 |
-
static_cast<int>(attr_count),
|
1814 |
-
static_cast<int>(input_count),
|
1815 |
-
static_cast<int>(output_count), &op));
|
1816 |
-
return Op{op};
|
1817 |
-
}
|
1818 |
-
|
1819 |
-
inline void Op::Invoke(const OrtKernelContext* context,
|
1820 |
-
const Value* input_values,
|
1821 |
-
size_t input_count,
|
1822 |
-
Value* output_values,
|
1823 |
-
size_t output_count) {
|
1824 |
-
static_assert(sizeof(Value) == sizeof(OrtValue*),
|
1825 |
-
"Value is really just an array of OrtValue* in memory, so we can reinterpret_cast safely");
|
1826 |
-
auto ort_input_values = reinterpret_cast<const OrtValue* const*>(input_values);
|
1827 |
-
auto ort_output_values = reinterpret_cast<OrtValue**>(output_values);
|
1828 |
-
Ort::ThrowOnError(GetApi().InvokeOp(context, p_, ort_input_values, static_cast<int>(input_count),
|
1829 |
-
ort_output_values, static_cast<int>(output_count)));
|
1830 |
-
}
|
1831 |
-
|
1832 |
-
inline void Op::Invoke(const OrtKernelContext* context,
|
1833 |
-
const OrtValue* const* input_values,
|
1834 |
-
size_t input_count,
|
1835 |
-
OrtValue* const* output_values,
|
1836 |
-
size_t output_count) {
|
1837 |
-
Ort::ThrowOnError(GetApi().InvokeOp(context, p_, input_values, static_cast<int>(input_count),
|
1838 |
-
output_values, static_cast<int>(output_count)));
|
1839 |
-
}
|
1840 |
-
|
1841 |
-
inline std::string GetVersionString() {
|
1842 |
-
return OrtGetApiBase()->GetVersionString();
|
1843 |
-
}
|
1844 |
-
|
1845 |
-
inline std::string GetBuildInfoString() {
|
1846 |
-
return GetApi().GetBuildInfoString();
|
1847 |
-
}
|
1848 |
-
|
1849 |
-
inline std::vector<std::string> GetAvailableProviders() {
|
1850 |
-
char** providers;
|
1851 |
-
int len;
|
1852 |
-
|
1853 |
-
auto release_fn = [&len](char** providers) {
|
1854 |
-
// This should always return nullptr.
|
1855 |
-
ThrowOnError(GetApi().ReleaseAvailableProviders(providers, len));
|
1856 |
-
};
|
1857 |
-
|
1858 |
-
ThrowOnError(GetApi().GetAvailableProviders(&providers, &len));
|
1859 |
-
std::unique_ptr<char*, decltype(release_fn)> guard(providers, release_fn);
|
1860 |
-
std::vector<std::string> available_providers;
|
1861 |
-
available_providers.reserve(static_cast<size_t>(len));
|
1862 |
-
for (int i = 0; i < len; ++i) {
|
1863 |
-
available_providers.emplace_back(providers[i]);
|
1864 |
-
}
|
1865 |
-
return available_providers;
|
1866 |
-
}
|
1867 |
-
|
1868 |
-
template <typename TOp, typename TKernel, bool WithStatus>
|
1869 |
-
void CustomOpBase<TOp, TKernel, WithStatus>::GetSessionConfigs(std::unordered_map<std::string, std::string>& out,
|
1870 |
-
ConstSessionOptions options) const {
|
1871 |
-
const TOp* derived = static_cast<const TOp*>(this);
|
1872 |
-
std::vector<std::string> keys = derived->GetSessionConfigKeys();
|
1873 |
-
|
1874 |
-
out.reserve(keys.size());
|
1875 |
-
|
1876 |
-
std::string config_entry_key = detail::MakeCustomOpConfigEntryKey(derived->GetName(), "");
|
1877 |
-
const size_t prefix_size = config_entry_key.length();
|
1878 |
-
|
1879 |
-
for (const auto& key : keys) {
|
1880 |
-
config_entry_key.resize(prefix_size);
|
1881 |
-
config_entry_key.append(key);
|
1882 |
-
out[key] = options.GetConfigEntryOrDefault(config_entry_key.c_str(), "");
|
1883 |
-
}
|
1884 |
-
}
|
1885 |
-
|
1886 |
-
} // namespace Ort
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|
1.16.0/onnxruntime.xcframework/Headers/onnxruntime_float16.h
DELETED
@@ -1,540 +0,0 @@
|
|
1 |
-
// Copyright (c) Microsoft Corporation. All rights reserved.
|
2 |
-
// Licensed under the MIT License.
|
3 |
-
|
4 |
-
#pragma once
|
5 |
-
|
6 |
-
#include <stdint.h>
|
7 |
-
#include <cmath>
|
8 |
-
#include <cstring>
|
9 |
-
#include <limits>
|
10 |
-
|
11 |
-
namespace onnxruntime_float16 {
|
12 |
-
|
13 |
-
namespace detail {
|
14 |
-
|
15 |
-
enum class endian {
|
16 |
-
#if defined(_WIN32)
|
17 |
-
little = 0,
|
18 |
-
big = 1,
|
19 |
-
native = little,
|
20 |
-
#elif defined(__GNUC__) || defined(__clang__)
|
21 |
-
little = __ORDER_LITTLE_ENDIAN__,
|
22 |
-
big = __ORDER_BIG_ENDIAN__,
|
23 |
-
native = __BYTE_ORDER__,
|
24 |
-
#else
|
25 |
-
#error onnxruntime_float16::detail::endian is not implemented in this environment.
|
26 |
-
#endif
|
27 |
-
};
|
28 |
-
|
29 |
-
static_assert(
|
30 |
-
endian::native == endian::little || endian::native == endian::big,
|
31 |
-
"Only little-endian or big-endian native byte orders are supported.");
|
32 |
-
|
33 |
-
} // namespace detail
|
34 |
-
|
35 |
-
/// <summary>
|
36 |
-
/// Shared implementation between public and internal classes. CRTP pattern.
|
37 |
-
/// </summary>
|
38 |
-
template <class Derived>
|
39 |
-
struct Float16Impl {
|
40 |
-
protected:
|
41 |
-
/// <summary>
|
42 |
-
/// Converts from float to uint16_t float16 representation
|
43 |
-
/// </summary>
|
44 |
-
/// <param name="v"></param>
|
45 |
-
/// <returns></returns>
|
46 |
-
constexpr static uint16_t ToUint16Impl(float v) noexcept;
|
47 |
-
|
48 |
-
/// <summary>
|
49 |
-
/// Converts float16 to float
|
50 |
-
/// </summary>
|
51 |
-
/// <returns>float representation of float16 value</returns>
|
52 |
-
float ToFloatImpl() const noexcept;
|
53 |
-
|
54 |
-
/// <summary>
|
55 |
-
/// Creates an instance that represents absolute value.
|
56 |
-
/// </summary>
|
57 |
-
/// <returns>Absolute value</returns>
|
58 |
-
uint16_t AbsImpl() const noexcept {
|
59 |
-
return static_cast<uint16_t>(val & ~kSignMask);
|
60 |
-
}
|
61 |
-
|
62 |
-
/// <summary>
|
63 |
-
/// Creates a new instance with the sign flipped.
|
64 |
-
/// </summary>
|
65 |
-
/// <returns>Flipped sign instance</returns>
|
66 |
-
uint16_t NegateImpl() const noexcept {
|
67 |
-
return IsNaN() ? val : static_cast<uint16_t>(val ^ kSignMask);
|
68 |
-
}
|
69 |
-
|
70 |
-
public:
|
71 |
-
// uint16_t special values
|
72 |
-
static constexpr uint16_t kSignMask = 0x8000U;
|
73 |
-
static constexpr uint16_t kBiasedExponentMask = 0x7C00U;
|
74 |
-
static constexpr uint16_t kPositiveInfinityBits = 0x7C00U;
|
75 |
-
static constexpr uint16_t kNegativeInfinityBits = 0xFC00U;
|
76 |
-
static constexpr uint16_t kPositiveQNaNBits = 0x7E00U;
|
77 |
-
static constexpr uint16_t kNegativeQNaNBits = 0xFE00U;
|
78 |
-
static constexpr uint16_t kEpsilonBits = 0x4170U;
|
79 |
-
static constexpr uint16_t kMinValueBits = 0xFBFFU; // Minimum normal number
|
80 |
-
static constexpr uint16_t kMaxValueBits = 0x7BFFU; // Largest normal number
|
81 |
-
static constexpr uint16_t kOneBits = 0x3C00U;
|
82 |
-
static constexpr uint16_t kMinusOneBits = 0xBC00U;
|
83 |
-
|
84 |
-
uint16_t val{0};
|
85 |
-
|
86 |
-
Float16Impl() = default;
|
87 |
-
|
88 |
-
/// <summary>
|
89 |
-
/// Checks if the value is negative
|
90 |
-
/// </summary>
|
91 |
-
/// <returns>true if negative</returns>
|
92 |
-
bool IsNegative() const noexcept {
|
93 |
-
return static_cast<int16_t>(val) < 0;
|
94 |
-
}
|
95 |
-
|
96 |
-
/// <summary>
|
97 |
-
/// Tests if the value is NaN
|
98 |
-
/// </summary>
|
99 |
-
/// <returns>true if NaN</returns>
|
100 |
-
bool IsNaN() const noexcept {
|
101 |
-
return AbsImpl() > kPositiveInfinityBits;
|
102 |
-
}
|
103 |
-
|
104 |
-
/// <summary>
|
105 |
-
/// Tests if the value is finite
|
106 |
-
/// </summary>
|
107 |
-
/// <returns>true if finite</returns>
|
108 |
-
bool IsFinite() const noexcept {
|
109 |
-
return AbsImpl() < kPositiveInfinityBits;
|
110 |
-
}
|
111 |
-
|
112 |
-
/// <summary>
|
113 |
-
/// Tests if the value represents positive infinity.
|
114 |
-
/// </summary>
|
115 |
-
/// <returns>true if positive infinity</returns>
|
116 |
-
bool IsPositiveInfinity() const noexcept {
|
117 |
-
return val == kPositiveInfinityBits;
|
118 |
-
}
|
119 |
-
|
120 |
-
/// <summary>
|
121 |
-
/// Tests if the value represents negative infinity
|
122 |
-
/// </summary>
|
123 |
-
/// <returns>true if negative infinity</returns>
|
124 |
-
bool IsNegativeInfinity() const noexcept {
|
125 |
-
return val == kNegativeInfinityBits;
|
126 |
-
}
|
127 |
-
|
128 |
-
/// <summary>
|
129 |
-
/// Tests if the value is either positive or negative infinity.
|
130 |
-
/// </summary>
|
131 |
-
/// <returns>True if absolute value is infinity</returns>
|
132 |
-
bool IsInfinity() const noexcept {
|
133 |
-
return AbsImpl() == kPositiveInfinityBits;
|
134 |
-
}
|
135 |
-
|
136 |
-
/// <summary>
|
137 |
-
/// Tests if the value is NaN or zero. Useful for comparisons.
|
138 |
-
/// </summary>
|
139 |
-
/// <returns>True if NaN or zero.</returns>
|
140 |
-
bool IsNaNOrZero() const noexcept {
|
141 |
-
auto abs = AbsImpl();
|
142 |
-
return (abs == 0 || abs > kPositiveInfinityBits);
|
143 |
-
}
|
144 |
-
|
145 |
-
/// <summary>
|
146 |
-
/// Tests if the value is normal (not zero, subnormal, infinite, or NaN).
|
147 |
-
/// </summary>
|
148 |
-
/// <returns>True if so</returns>
|
149 |
-
bool IsNormal() const noexcept {
|
150 |
-
auto abs = AbsImpl();
|
151 |
-
return (abs < kPositiveInfinityBits) // is finite
|
152 |
-
&& (abs != 0) // is not zero
|
153 |
-
&& ((abs & kBiasedExponentMask) != 0); // is not subnormal (has a non-zero exponent)
|
154 |
-
}
|
155 |
-
|
156 |
-
/// <summary>
|
157 |
-
/// Tests if the value is subnormal (denormal).
|
158 |
-
/// </summary>
|
159 |
-
/// <returns>True if so</returns>
|
160 |
-
bool IsSubnormal() const noexcept {
|
161 |
-
auto abs = AbsImpl();
|
162 |
-
return (abs < kPositiveInfinityBits) // is finite
|
163 |
-
&& (abs != 0) // is not zero
|
164 |
-
&& ((abs & kBiasedExponentMask) == 0); // is subnormal (has a zero exponent)
|
165 |
-
}
|
166 |
-
|
167 |
-
/// <summary>
|
168 |
-
/// Creates an instance that represents absolute value.
|
169 |
-
/// </summary>
|
170 |
-
/// <returns>Absolute value</returns>
|
171 |
-
Derived Abs() const noexcept { return Derived::FromBits(AbsImpl()); }
|
172 |
-
|
173 |
-
/// <summary>
|
174 |
-
/// Creates a new instance with the sign flipped.
|
175 |
-
/// </summary>
|
176 |
-
/// <returns>Flipped sign instance</returns>
|
177 |
-
Derived Negate() const noexcept { return Derived::FromBits(NegateImpl()); }
|
178 |
-
|
179 |
-
/// <summary>
|
180 |
-
/// IEEE defines that positive and negative zero are equal, this gives us a quick equality check
|
181 |
-
/// for two values by or'ing the private bits together and stripping the sign. They are both zero,
|
182 |
-
/// and therefore equivalent, if the resulting value is still zero.
|
183 |
-
/// </summary>
|
184 |
-
/// <param name="lhs">first value</param>
|
185 |
-
/// <param name="rhs">second value</param>
|
186 |
-
/// <returns>True if both arguments represent zero</returns>
|
187 |
-
static bool AreZero(const Float16Impl& lhs, const Float16Impl& rhs) noexcept {
|
188 |
-
return static_cast<uint16_t>((lhs.val | rhs.val) & ~kSignMask) == 0;
|
189 |
-
}
|
190 |
-
|
191 |
-
bool operator==(const Float16Impl& rhs) const noexcept {
|
192 |
-
if (IsNaN() || rhs.IsNaN()) {
|
193 |
-
// IEEE defines that NaN is not equal to anything, including itself.
|
194 |
-
return false;
|
195 |
-
}
|
196 |
-
return val == rhs.val;
|
197 |
-
}
|
198 |
-
|
199 |
-
bool operator!=(const Float16Impl& rhs) const noexcept { return !(*this == rhs); }
|
200 |
-
|
201 |
-
bool operator<(const Float16Impl& rhs) const noexcept {
|
202 |
-
if (IsNaN() || rhs.IsNaN()) {
|
203 |
-
// IEEE defines that NaN is unordered with respect to everything, including itself.
|
204 |
-
return false;
|
205 |
-
}
|
206 |
-
|
207 |
-
const bool left_is_negative = IsNegative();
|
208 |
-
if (left_is_negative != rhs.IsNegative()) {
|
209 |
-
// When the signs of left and right differ, we know that left is less than right if it is
|
210 |
-
// the negative value. The exception to this is if both values are zero, in which case IEEE
|
211 |
-
// says they should be equal, even if the signs differ.
|
212 |
-
return left_is_negative && !AreZero(*this, rhs);
|
213 |
-
}
|
214 |
-
return (val != rhs.val) && ((val < rhs.val) ^ left_is_negative);
|
215 |
-
}
|
216 |
-
};
|
217 |
-
|
218 |
-
// The following Float16_t conversions are based on the code from
|
219 |
-
// Eigen library.
|
220 |
-
|
221 |
-
// The conversion routines are Copyright (c) Fabian Giesen, 2016.
|
222 |
-
// The original license follows:
|
223 |
-
//
|
224 |
-
// Copyright (c) Fabian Giesen, 2016
|
225 |
-
// All rights reserved.
|
226 |
-
// Redistribution and use in source and binary forms, with or without
|
227 |
-
// modification, are permitted.
|
228 |
-
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
|
229 |
-
// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
|
230 |
-
// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
|
231 |
-
// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
|
232 |
-
// HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
|
233 |
-
// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
|
234 |
-
// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
|
235 |
-
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
|
236 |
-
// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
237 |
-
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
238 |
-
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
239 |
-
|
240 |
-
namespace detail {
|
241 |
-
union float32_bits {
|
242 |
-
unsigned int u;
|
243 |
-
float f;
|
244 |
-
};
|
245 |
-
} // namespace detail
|
246 |
-
|
247 |
-
template <class Derived>
|
248 |
-
inline constexpr uint16_t Float16Impl<Derived>::ToUint16Impl(float v) noexcept {
|
249 |
-
detail::float32_bits f{};
|
250 |
-
f.f = v;
|
251 |
-
|
252 |
-
constexpr detail::float32_bits f32infty = {255 << 23};
|
253 |
-
constexpr detail::float32_bits f16max = {(127 + 16) << 23};
|
254 |
-
constexpr detail::float32_bits denorm_magic = {((127 - 15) + (23 - 10) + 1) << 23};
|
255 |
-
constexpr unsigned int sign_mask = 0x80000000u;
|
256 |
-
uint16_t val = static_cast<uint16_t>(0x0u);
|
257 |
-
|
258 |
-
unsigned int sign = f.u & sign_mask;
|
259 |
-
f.u ^= sign;
|
260 |
-
|
261 |
-
// NOTE all the integer compares in this function can be safely
|
262 |
-
// compiled into signed compares since all operands are below
|
263 |
-
// 0x80000000. Important if you want fast straight SSE2 code
|
264 |
-
// (since there's no unsigned PCMPGTD).
|
265 |
-
|
266 |
-
if (f.u >= f16max.u) { // result is Inf or NaN (all exponent bits set)
|
267 |
-
val = (f.u > f32infty.u) ? 0x7e00 : 0x7c00; // NaN->qNaN and Inf->Inf
|
268 |
-
} else { // (De)normalized number or zero
|
269 |
-
if (f.u < (113 << 23)) { // resulting FP16 is subnormal or zero
|
270 |
-
// use a magic value to align our 10 mantissa bits at the bottom of
|
271 |
-
// the float. as long as FP addition is round-to-nearest-even this
|
272 |
-
// just works.
|
273 |
-
f.f += denorm_magic.f;
|
274 |
-
|
275 |
-
// and one integer subtract of the bias later, we have our final float!
|
276 |
-
val = static_cast<uint16_t>(f.u - denorm_magic.u);
|
277 |
-
} else {
|
278 |
-
unsigned int mant_odd = (f.u >> 13) & 1; // resulting mantissa is odd
|
279 |
-
|
280 |
-
// update exponent, rounding bias part 1
|
281 |
-
// Equivalent to `f.u += ((unsigned int)(15 - 127) << 23) + 0xfff`, but
|
282 |
-
// without arithmetic overflow.
|
283 |
-
f.u += 0xc8000fffU;
|
284 |
-
// rounding bias part 2
|
285 |
-
f.u += mant_odd;
|
286 |
-
// take the bits!
|
287 |
-
val = static_cast<uint16_t>(f.u >> 13);
|
288 |
-
}
|
289 |
-
}
|
290 |
-
|
291 |
-
val |= static_cast<uint16_t>(sign >> 16);
|
292 |
-
return val;
|
293 |
-
}
|
294 |
-
|
295 |
-
template <class Derived>
|
296 |
-
inline float Float16Impl<Derived>::ToFloatImpl() const noexcept {
|
297 |
-
constexpr detail::float32_bits magic = {113 << 23};
|
298 |
-
constexpr unsigned int shifted_exp = 0x7c00 << 13; // exponent mask after shift
|
299 |
-
detail::float32_bits o{};
|
300 |
-
|
301 |
-
o.u = (val & 0x7fff) << 13; // exponent/mantissa bits
|
302 |
-
unsigned int exp = shifted_exp & o.u; // just the exponent
|
303 |
-
o.u += (127 - 15) << 23; // exponent adjust
|
304 |
-
|
305 |
-
// handle exponent special cases
|
306 |
-
if (exp == shifted_exp) { // Inf/NaN?
|
307 |
-
o.u += (128 - 16) << 23; // extra exp adjust
|
308 |
-
} else if (exp == 0) { // Zero/Denormal?
|
309 |
-
o.u += 1 << 23; // extra exp adjust
|
310 |
-
o.f -= magic.f; // re-normalize
|
311 |
-
}
|
312 |
-
|
313 |
-
// Attempt to workaround the Internal Compiler Error on ARM64
|
314 |
-
// for bitwise | operator, including std::bitset
|
315 |
-
#if (defined _MSC_VER) && (defined _M_ARM || defined _M_ARM64 || defined _M_ARM64EC)
|
316 |
-
if (IsNegative()) {
|
317 |
-
return -o.f;
|
318 |
-
}
|
319 |
-
#else
|
320 |
-
// original code:
|
321 |
-
o.u |= (val & 0x8000U) << 16U; // sign bit
|
322 |
-
#endif
|
323 |
-
return o.f;
|
324 |
-
}
|
325 |
-
|
326 |
-
/// Shared implementation between public and internal classes. CRTP pattern.
|
327 |
-
template <class Derived>
|
328 |
-
struct BFloat16Impl {
|
329 |
-
protected:
|
330 |
-
/// <summary>
|
331 |
-
/// Converts from float to uint16_t float16 representation
|
332 |
-
/// </summary>
|
333 |
-
/// <param name="v"></param>
|
334 |
-
/// <returns></returns>
|
335 |
-
static uint16_t ToUint16Impl(float v) noexcept;
|
336 |
-
|
337 |
-
/// <summary>
|
338 |
-
/// Converts bfloat16 to float
|
339 |
-
/// </summary>
|
340 |
-
/// <returns>float representation of bfloat16 value</returns>
|
341 |
-
float ToFloatImpl() const noexcept;
|
342 |
-
|
343 |
-
/// <summary>
|
344 |
-
/// Creates an instance that represents absolute value.
|
345 |
-
/// </summary>
|
346 |
-
/// <returns>Absolute value</returns>
|
347 |
-
uint16_t AbsImpl() const noexcept {
|
348 |
-
return static_cast<uint16_t>(val & ~kSignMask);
|
349 |
-
}
|
350 |
-
|
351 |
-
/// <summary>
|
352 |
-
/// Creates a new instance with the sign flipped.
|
353 |
-
/// </summary>
|
354 |
-
/// <returns>Flipped sign instance</returns>
|
355 |
-
uint16_t NegateImpl() const noexcept {
|
356 |
-
return IsNaN() ? val : static_cast<uint16_t>(val ^ kSignMask);
|
357 |
-
}
|
358 |
-
|
359 |
-
public:
|
360 |
-
// uint16_t special values
|
361 |
-
static constexpr uint16_t kSignMask = 0x8000U;
|
362 |
-
static constexpr uint16_t kBiasedExponentMask = 0x7F80U;
|
363 |
-
static constexpr uint16_t kPositiveInfinityBits = 0x7F80U;
|
364 |
-
static constexpr uint16_t kNegativeInfinityBits = 0xFF80U;
|
365 |
-
static constexpr uint16_t kPositiveQNaNBits = 0x7FC1U;
|
366 |
-
static constexpr uint16_t kNegativeQNaNBits = 0xFFC1U;
|
367 |
-
static constexpr uint16_t kSignaling_NaNBits = 0x7F80U;
|
368 |
-
static constexpr uint16_t kEpsilonBits = 0x0080U;
|
369 |
-
static constexpr uint16_t kMinValueBits = 0xFF7FU;
|
370 |
-
static constexpr uint16_t kMaxValueBits = 0x7F7FU;
|
371 |
-
static constexpr uint16_t kRoundToNearest = 0x7FFFU;
|
372 |
-
static constexpr uint16_t kOneBits = 0x3F80U;
|
373 |
-
static constexpr uint16_t kMinusOneBits = 0xBF80U;
|
374 |
-
|
375 |
-
uint16_t val{0};
|
376 |
-
|
377 |
-
BFloat16Impl() = default;
|
378 |
-
|
379 |
-
/// <summary>
|
380 |
-
/// Checks if the value is negative
|
381 |
-
/// </summary>
|
382 |
-
/// <returns>true if negative</returns>
|
383 |
-
bool IsNegative() const noexcept {
|
384 |
-
return static_cast<int16_t>(val) < 0;
|
385 |
-
}
|
386 |
-
|
387 |
-
/// <summary>
|
388 |
-
/// Tests if the value is NaN
|
389 |
-
/// </summary>
|
390 |
-
/// <returns>true if NaN</returns>
|
391 |
-
bool IsNaN() const noexcept {
|
392 |
-
return AbsImpl() > kPositiveInfinityBits;
|
393 |
-
}
|
394 |
-
|
395 |
-
/// <summary>
|
396 |
-
/// Tests if the value is finite
|
397 |
-
/// </summary>
|
398 |
-
/// <returns>true if finite</returns>
|
399 |
-
bool IsFinite() const noexcept {
|
400 |
-
return AbsImpl() < kPositiveInfinityBits;
|
401 |
-
}
|
402 |
-
|
403 |
-
/// <summary>
|
404 |
-
/// Tests if the value represents positive infinity.
|
405 |
-
/// </summary>
|
406 |
-
/// <returns>true if positive infinity</returns>
|
407 |
-
bool IsPositiveInfinity() const noexcept {
|
408 |
-
return val == kPositiveInfinityBits;
|
409 |
-
}
|
410 |
-
|
411 |
-
/// <summary>
|
412 |
-
/// Tests if the value represents negative infinity
|
413 |
-
/// </summary>
|
414 |
-
/// <returns>true if negative infinity</returns>
|
415 |
-
bool IsNegativeInfinity() const noexcept {
|
416 |
-
return val == kNegativeInfinityBits;
|
417 |
-
}
|
418 |
-
|
419 |
-
/// <summary>
|
420 |
-
/// Tests if the value is either positive or negative infinity.
|
421 |
-
/// </summary>
|
422 |
-
/// <returns>True if absolute value is infinity</returns>
|
423 |
-
bool IsInfinity() const noexcept {
|
424 |
-
return AbsImpl() == kPositiveInfinityBits;
|
425 |
-
}
|
426 |
-
|
427 |
-
/// <summary>
|
428 |
-
/// Tests if the value is NaN or zero. Useful for comparisons.
|
429 |
-
/// </summary>
|
430 |
-
/// <returns>True if NaN or zero.</returns>
|
431 |
-
bool IsNaNOrZero() const noexcept {
|
432 |
-
auto abs = AbsImpl();
|
433 |
-
return (abs == 0 || abs > kPositiveInfinityBits);
|
434 |
-
}
|
435 |
-
|
436 |
-
/// <summary>
|
437 |
-
/// Tests if the value is normal (not zero, subnormal, infinite, or NaN).
|
438 |
-
/// </summary>
|
439 |
-
/// <returns>True if so</returns>
|
440 |
-
bool IsNormal() const noexcept {
|
441 |
-
auto abs = AbsImpl();
|
442 |
-
return (abs < kPositiveInfinityBits) // is finite
|
443 |
-
&& (abs != 0) // is not zero
|
444 |
-
&& ((abs & kBiasedExponentMask) != 0); // is not subnormal (has a non-zero exponent)
|
445 |
-
}
|
446 |
-
|
447 |
-
/// <summary>
|
448 |
-
/// Tests if the value is subnormal (denormal).
|
449 |
-
/// </summary>
|
450 |
-
/// <returns>True if so</returns>
|
451 |
-
bool IsSubnormal() const noexcept {
|
452 |
-
auto abs = AbsImpl();
|
453 |
-
return (abs < kPositiveInfinityBits) // is finite
|
454 |
-
&& (abs != 0) // is not zero
|
455 |
-
&& ((abs & kBiasedExponentMask) == 0); // is subnormal (has a zero exponent)
|
456 |
-
}
|
457 |
-
|
458 |
-
/// <summary>
|
459 |
-
/// Creates an instance that represents absolute value.
|
460 |
-
/// </summary>
|
461 |
-
/// <returns>Absolute value</returns>
|
462 |
-
Derived Abs() const noexcept { return Derived::FromBits(AbsImpl()); }
|
463 |
-
|
464 |
-
/// <summary>
|
465 |
-
/// Creates a new instance with the sign flipped.
|
466 |
-
/// </summary>
|
467 |
-
/// <returns>Flipped sign instance</returns>
|
468 |
-
Derived Negate() const noexcept { return Derived::FromBits(NegateImpl()); }
|
469 |
-
|
470 |
-
/// <summary>
|
471 |
-
/// IEEE defines that positive and negative zero are equal, this gives us a quick equality check
|
472 |
-
/// for two values by or'ing the private bits together and stripping the sign. They are both zero,
|
473 |
-
/// and therefore equivalent, if the resulting value is still zero.
|
474 |
-
/// </summary>
|
475 |
-
/// <param name="lhs">first value</param>
|
476 |
-
/// <param name="rhs">second value</param>
|
477 |
-
/// <returns>True if both arguments represent zero</returns>
|
478 |
-
static bool AreZero(const BFloat16Impl& lhs, const BFloat16Impl& rhs) noexcept {
|
479 |
-
// IEEE defines that positive and negative zero are equal, this gives us a quick equality check
|
480 |
-
// for two values by or'ing the private bits together and stripping the sign. They are both zero,
|
481 |
-
// and therefore equivalent, if the resulting value is still zero.
|
482 |
-
return static_cast<uint16_t>((lhs.val | rhs.val) & ~kSignMask) == 0;
|
483 |
-
}
|
484 |
-
};
|
485 |
-
|
486 |
-
template <class Derived>
|
487 |
-
inline uint16_t BFloat16Impl<Derived>::ToUint16Impl(float v) noexcept {
|
488 |
-
uint16_t result;
|
489 |
-
if (std::isnan(v)) {
|
490 |
-
result = kPositiveQNaNBits;
|
491 |
-
} else {
|
492 |
-
auto get_msb_half = [](float fl) {
|
493 |
-
uint16_t result;
|
494 |
-
#ifdef __cpp_if_constexpr
|
495 |
-
if constexpr (detail::endian::native == detail::endian::little) {
|
496 |
-
#else
|
497 |
-
if (detail::endian::native == detail::endian::little) {
|
498 |
-
#endif
|
499 |
-
std::memcpy(&result, reinterpret_cast<char*>(&fl) + sizeof(uint16_t), sizeof(uint16_t));
|
500 |
-
} else {
|
501 |
-
std::memcpy(&result, &fl, sizeof(uint16_t));
|
502 |
-
}
|
503 |
-
return result;
|
504 |
-
};
|
505 |
-
|
506 |
-
uint16_t upper_bits = get_msb_half(v);
|
507 |
-
union {
|
508 |
-
uint32_t U32;
|
509 |
-
float F32;
|
510 |
-
};
|
511 |
-
F32 = v;
|
512 |
-
U32 += (upper_bits & 1) + kRoundToNearest;
|
513 |
-
result = get_msb_half(F32);
|
514 |
-
}
|
515 |
-
return result;
|
516 |
-
}
|
517 |
-
|
518 |
-
template <class Derived>
|
519 |
-
inline float BFloat16Impl<Derived>::ToFloatImpl() const noexcept {
|
520 |
-
if (IsNaN()) {
|
521 |
-
return std::numeric_limits<float>::quiet_NaN();
|
522 |
-
}
|
523 |
-
float result;
|
524 |
-
char* const first = reinterpret_cast<char*>(&result);
|
525 |
-
char* const second = first + sizeof(uint16_t);
|
526 |
-
#ifdef __cpp_if_constexpr
|
527 |
-
if constexpr (detail::endian::native == detail::endian::little) {
|
528 |
-
#else
|
529 |
-
if (detail::endian::native == detail::endian::little) {
|
530 |
-
#endif
|
531 |
-
std::memset(first, 0, sizeof(uint16_t));
|
532 |
-
std::memcpy(second, &val, sizeof(uint16_t));
|
533 |
-
} else {
|
534 |
-
std::memcpy(first, &val, sizeof(uint16_t));
|
535 |
-
std::memset(second, 0, sizeof(uint16_t));
|
536 |
-
}
|
537 |
-
return result;
|
538 |
-
}
|
539 |
-
|
540 |
-
} // namespace onnxruntime_float16
|
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1.16.0/onnxruntime.xcframework/Info.plist
DELETED
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1 |
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DELETED
@@ -1 +0,0 @@
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1 |
-
onnxruntime.a
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1.16.0/onnxruntime.xcframework/ios-arm64/onnxruntime.a
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@@ -1,3 +0,0 @@
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DELETED
@@ -1 +0,0 @@
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onnxruntime.a
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1.16.0/onnxruntime.xcframework/ios-arm64_x86_64-simulator/onnxruntime.a
DELETED
@@ -1,3 +0,0 @@
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onnxruntime.a
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1.16.0/onnxruntime.xcframework/macos-arm64_x86_64/onnxruntime.a
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