mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-16 21:00:14 +00:00
eeef157888
winml/ was previously excluded from lintrunner config. This change includes the directory and adds the clang-format config file specific to winml/ that fits existing style. --------- Signed-off-by: Justin Chu <justinchu@microsoft.com>
140 lines
4.2 KiB
C++
140 lines
4.2 KiB
C++
// Copyright (c) Microsoft Corporation. All rights reserved.
|
|
// Licensed under the MIT License.
|
|
|
|
#pragma once
|
|
|
|
namespace _winml {
|
|
|
|
// We need to define our own type for Half since DirectX::PackedVector::Half resolves to uint16_t per its typedef declaration.
|
|
// Templates require an actual type name to resolve correctly.
|
|
struct Half {
|
|
DirectX::PackedVector::HALF value;
|
|
};
|
|
|
|
template <typename T>
|
|
struct TensorKindFrom {};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorInt8Bit> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Int8;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorUInt8Bit> {
|
|
static const winml::TensorKind Type = winml::TensorKind::UInt8;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorUInt16Bit> {
|
|
static const winml::TensorKind Type = winml::TensorKind::UInt16;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorInt16Bit> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Int16;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorUInt32Bit> {
|
|
static const winml::TensorKind Type = winml::TensorKind::UInt32;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorInt32Bit> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Int32;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorUInt64Bit> {
|
|
static const winml::TensorKind Type = winml::TensorKind::UInt64;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorInt64Bit> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Int64;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorBoolean> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Boolean;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorDouble> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Double;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorFloat> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Float;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorFloat16Bit> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Float16;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winml::ITensorString> {
|
|
static const winml::TensorKind Type = winml::TensorKind::String;
|
|
};
|
|
|
|
template <>
|
|
struct TensorKindFrom<int8_t> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Int8;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<uint8_t> {
|
|
static const winml::TensorKind Type = winml::TensorKind::UInt8;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<uint16_t> {
|
|
static const winml::TensorKind Type = winml::TensorKind::UInt16;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<int16_t> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Int16;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<uint32_t> {
|
|
static const winml::TensorKind Type = winml::TensorKind::UInt32;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<int32_t> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Int32;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<uint64_t> {
|
|
static const winml::TensorKind Type = winml::TensorKind::UInt64;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<int64_t> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Int64;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<bool> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Boolean;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<double> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Double;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<float> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Float;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<winrt::hstring> {
|
|
static const winml::TensorKind Type = winml::TensorKind::String;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<std::string> {
|
|
static const winml::TensorKind Type = winml::TensorKind::String;
|
|
};
|
|
template <>
|
|
struct TensorKindFrom<Half> {
|
|
static const winml::TensorKind Type = winml::TensorKind::Float16;
|
|
};
|
|
|
|
template <typename T>
|
|
struct TensorFeatureDescriptorFrom {
|
|
static winml::ILearningModelFeatureDescriptor CreateAnonymous(std::vector<int64_t> shape) {
|
|
return winrt::make<winmlp::TensorFeatureDescriptor>(
|
|
nullptr /* set to null as values are name-less */,
|
|
nullptr /* set to null as values are description-less */,
|
|
TensorKindFrom<T>::Type,
|
|
shape,
|
|
false /* set to false as values dont have required annotations */,
|
|
false /* set to false as this is not a tensor of unsupported metadata */
|
|
);
|
|
}
|
|
};
|
|
|
|
} // namespace _winml
|