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7 changes: 5 additions & 2 deletions include/onnxruntime/core/framework/data_types.h
Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
#include "core/common/float8.h"
#include "core/common/float16.h"
#include "core/framework/int4.h"
#include "core/framework/int2.h"
#include "core/framework/float4.h"
#include "core/graph/onnx_protobuf.h"
#include "core/framework/to_tensor_proto_element_type.h"
Expand Down Expand Up @@ -211,6 +212,7 @@ class DataTypeImpl {
static const std::vector<MLDataType>& AllTensorTypesIRv9();
static const std::vector<MLDataType>& AllTensorTypesIRv10();
static const std::vector<MLDataType>& AllTensorTypesIRv11();
static const std::vector<MLDataType>& AllTensorTypesIRv13();

static const std::vector<MLDataType>& AllFixedSizeTensorTypes(); // up to IR4 (no float 8), deprecated
static const std::vector<MLDataType>& AllFixedSizeTensorTypesIRv4();
Expand Down Expand Up @@ -285,7 +287,7 @@ template <typename T>
struct IsTensorContainedType : public IsAnyOf<T, float, uint8_t, int8_t, uint16_t, int16_t,
int32_t, int64_t, std::string, bool, MLFloat16,
double, uint32_t, uint64_t, BFloat16,
Int4x2, UInt4x2
Int4x2, UInt4x2, Int2x4, UInt2x4
#if !defined(DISABLE_FLOAT8_TYPES)
,
Float8E4M3FN, Float8E4M3FNUZ, Float8E5M2, Float8E5M2FNUZ
Expand All @@ -304,7 +306,8 @@ struct IsTensorContainedType : public IsAnyOf<T, float, uint8_t, int8_t, uint16_
template <typename T>
struct IsSparseTensorContainedType : public IsAnyOf<T, float, uint8_t, int8_t, uint16_t, int16_t,
int32_t, int64_t, std::string, bool, MLFloat16,
double, uint32_t, uint64_t, BFloat16
double, uint32_t, uint64_t, BFloat16,
Int4x2, UInt4x2, Int2x4, UInt2x4
#if !defined(DISABLE_FLOAT8_TYPES)
,
Float8E4M3FN, Float8E4M3FNUZ, Float8E5M2, Float8E5M2FNUZ
Expand Down
48 changes: 48 additions & 0 deletions include/onnxruntime/core/framework/data_types_internal.h
Original file line number Diff line number Diff line change
Expand Up @@ -102,6 +102,12 @@ namespace utils {
case ONNX_NAMESPACE::TensorProto_DataType_UINT4: \
function<UInt4x2>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_INT2: \
function<Int2x4>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_UINT2: \
function<UInt2x4>(__VA_ARGS__); \
break; \
default: \
ORT_ENFORCE(false, "Unknown tensor type of ", tensor_type); \
}
Expand Down Expand Up @@ -171,6 +177,12 @@ namespace utils {
case ONNX_NAMESPACE::TensorProto_DataType_UINT4: \
retval = function<UInt4x2>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_INT2: \
retval = function<Int2x4>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_UINT2: \
retval = function<UInt2x4>(__VA_ARGS__); \
break; \
default: \
ORT_ENFORCE(false, "Unknown tensor type of ", tensor_type); \
}
Expand Down Expand Up @@ -230,6 +242,12 @@ namespace utils {
case ONNX_NAMESPACE::TensorProto_DataType_UINT4: \
function<UInt4x2>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_INT2: \
function<Int2x4>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_UINT2: \
function<UInt2x4>(__VA_ARGS__); \
break; \
default: \
ORT_ENFORCE(false, "Unknown tensor type of ", tensor_type); \
}
Expand Down Expand Up @@ -287,6 +305,12 @@ namespace utils {
case ONNX_NAMESPACE::TensorProto_DataType_UINT4: \
retval = function<UInt4x2>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_INT2: \
retval = function<Int2x4>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_UINT2: \
retval = function<UInt2x4>(__VA_ARGS__); \
break; \
default: \
ORT_ENFORCE(false, "Unknown tensor type of ", tensor_type); \
}
Expand Down Expand Up @@ -355,6 +379,12 @@ namespace utils {
case ONNX_NAMESPACE::TensorProto_DataType_UINT4: \
function<UInt4x2>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_INT2: \
function<Int2x4>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_UINT2: \
function<UInt2x4>(__VA_ARGS__); \
break; \
default: \
ORT_ENFORCE(false, "Unknown tensor type of ", tensor_type); \
}
Expand Down Expand Up @@ -421,6 +451,12 @@ namespace utils {
case ONNX_NAMESPACE::TensorProto_DataType_UINT4: \
retval = function<UInt4x2>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_INT2: \
retval = function<Int2x4>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_UINT2: \
retval = function<UInt2x4>(__VA_ARGS__); \
break; \
default: \
ORT_ENFORCE(false, "Unknown tensor type of ", tensor_type); \
}
Expand Down Expand Up @@ -477,6 +513,12 @@ namespace utils {
case ONNX_NAMESPACE::TensorProto_DataType_UINT4: \
function<UInt4x2>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_INT2: \
function<Int2x4>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_UINT2: \
function<UInt2x4>(__VA_ARGS__); \
break; \
default: \
ORT_ENFORCE(false, "Unknown tensor type of ", tensor_type); \
}
Expand Down Expand Up @@ -531,6 +573,12 @@ namespace utils {
case ONNX_NAMESPACE::TensorProto_DataType_UINT4: \
retval = function<UInt4x2>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_INT2: \
retval = function<Int2x4>(__VA_ARGS__); \
break; \
case ONNX_NAMESPACE::TensorProto_DataType_UINT2: \
retval = function<UInt2x4>(__VA_ARGS__); \
break; \
default: \
ORT_ENFORCE(false, "Unknown tensor type of ", tensor_type); \
}
Expand Down
178 changes: 178 additions & 0 deletions include/onnxruntime/core/framework/int2.h
Original file line number Diff line number Diff line change
@@ -0,0 +1,178 @@
// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

#pragma once

#include <cassert>
#include <type_traits>
#include "core/common/common.h"
#include <gsl/gsl>

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[cpplint] reported by reviewdog 🐶 Found C system header after other header. Should be: int2.h, c system, c++ system, other. [build/include_order] [4] Raw Output: include/onnxruntime/core/framework/int2.h:9: Found C system header after other header. Should be: int2.h, c system, c++ system, other. [build/include_order] [4]

namespace onnxruntime {

template <bool Signed>
struct Int2Traits;

template <>
struct Int2Traits<true> {
using UnpackedType = int8_t;
static constexpr int8_t min_val = -2;
static constexpr int8_t max_val = 1;
};

template <>
struct Int2Traits<false> {
using UnpackedType = uint8_t;
static constexpr uint8_t min_val = 0;
static constexpr uint8_t max_val = 3;
};

/// <summary>
/// Stores 4 packed 2-bit elements in 1 byte.
/// Packing follows ONNX spec: x0 | (x1 << 2) | (x2 << 4) | (x3 << 6)
/// </summary>
/// <typeparam name="Signed">Set to true if signed int2, or false if unsigned uint2.</typeparam>
template <bool Signed>
struct Int2x4Base {
using UnpackedType = typename Int2Traits<Signed>::UnpackedType;
static constexpr UnpackedType min_val = Int2Traits<Signed>::min_val;
static constexpr UnpackedType max_val = Int2Traits<Signed>::max_val;

std::byte bits_{};

Int2x4Base() = default;

explicit Int2x4Base(std::byte bits) {
bits_ = bits;
}

Int2x4Base(UnpackedType val0, UnpackedType val1, UnpackedType val2, UnpackedType val3) {
bits_ = static_cast<std::byte>(
(val0 & 0x3) |
((val1 & 0x3) << 2) |
((val2 & 0x3) << 4) |
((val3 & 0x3) << 6));
}

static inline int8_t SignExtendLower2Bits(std::byte bits) {
// Sign-extend lower 2-bits by left shifting and then doing an arithmetic right shift.
constexpr uint8_t shift = (sizeof(int32_t) * 8) - 2;
return static_cast<int8_t>((static_cast<int32_t>(bits) << shift) >> shift);
}

inline UnpackedType GetElem(size_t index) const {
assert(index <= 3);
const uint8_t shift = 2 * static_cast<uint8_t>(index);
const std::byte val = (bits_ >> shift) & std::byte{0x3};

if constexpr (Signed) {
return SignExtendLower2Bits(val);
} else {
return static_cast<UnpackedType>(val);
}
}

inline void SetElem(size_t index, UnpackedType val) {
assert(index <= 3);
const uint8_t shift = 2 * static_cast<uint8_t>(index);
const std::byte clear_mask = ~(std::byte{0x3} << shift);

bits_ &= clear_mask; // Clear 2-bit element to 0
bits_ |= static_cast<std::byte>((val & 0x3) << shift); // Set 2-bit element to val
}

inline std::byte ToBits() const {
return bits_;
}

/// <summary>
/// Calculates the number of packed byte units needed to store the given number of 2-bit elements.
/// Each byte stores 4 x 2-bit elements.
/// </summary>
static size_t CalcNumInt2Quads(size_t num_int2_elems) {
return (num_int2_elems + 3) / 4;
}

/// <summary>
/// Copy a source buffer of 2-bit elements (packed) into a destination buffer of 8-bit elements (unpacked).
/// </summary>
/// <param name="dst">Destination buffer to store unpacked 8-bit elements</param>
/// <param name="src">Source buffer with 2-bit elements</param>
/// <returns>True on success</returns>
static bool Unpack(gsl::span<UnpackedType> dst, gsl::span<const Int2x4Base<Signed>> src) {
if (CalcNumInt2Quads(dst.size()) != src.size()) {
return false;
}

if (src.empty()) {
return true;
}

for (size_t i = 0; i < dst.size(); i++) {
size_t byte_idx = i >> 2; // i / 4
size_t elem_idx = i & 0x3; // i % 4
dst[i] = src[byte_idx].GetElem(elem_idx);
}

return true;
}

/// <summary>
/// Copy a source buffer of 8-bit elements (unpacked) into a destination buffer of 2-bit elements (packed).
/// </summary>
/// <param name="dst">Destination buffer to store packed 2-bit elements</param>
/// <param name="src">Source buffer with 8-bit elements</param>
/// <returns>True on success</returns>
static bool Pack(gsl::span<Int2x4Base<Signed>> dst, gsl::span<const UnpackedType> src) {
if (CalcNumInt2Quads(src.size()) != dst.size()) {
return false;
}

if (src.empty()) {
return true;
}

size_t src_i = 0;
size_t dst_i = 0;
const size_t full_quads = src.size() / 4;

// Process complete groups of 4 elements
for (; dst_i < full_quads; dst_i++) {
dst[dst_i] = Int2x4Base<Signed>(src[src_i], src[src_i + 1], src[src_i + 2], src[src_i + 3]);
src_i += 4;
}

// Handle remaining elements (1-3)
if (src_i < src.size()) {
UnpackedType vals[4] = {0, 0, 0, 0};
size_t remaining = src.size() - src_i;
for (size_t j = 0; j < remaining; j++) {
vals[j] = src[src_i + j];
}
dst[dst_i] = Int2x4Base<Signed>(vals[0], vals[1], vals[2], vals[3]);
}

return true;
}

/// <summary>
/// Returns hierarchical indices for a packed int2 element from the given element index.
///
/// Usage:
/// Int2x4* data = ...;
/// auto indices = GetTensorElemIndices(5); // 6th int2 element
/// int8_t elem = data[indices.first].GetElem(indices.second);
/// </summary>
/// <param name="index">Index of 2-bit element</param>
/// <returns>Pair of (byte_index, element_index_within_byte)</returns>
static inline std::pair<size_t, size_t> GetTensorElemIndices(size_t index) {

Check warning on line 168 in include/onnxruntime/core/framework/int2.h

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[cpplint] reported by reviewdog 🐶 Add #include <utility> for pair<> [build/include_what_you_use] [4] Raw Output: include/onnxruntime/core/framework/int2.h:168: Add #include <utility> for pair<> [build/include_what_you_use] [4]
return {index >> 2, index & 0x3};
}
};

using Int2x4 = Int2x4Base<true>;
using UInt2x4 = Int2x4Base<false>;
static_assert(sizeof(Int2x4) == sizeof(std::byte));
static_assert(sizeof(UInt2x4) == sizeof(std::byte));

} // namespace onnxruntime
10 changes: 10 additions & 0 deletions include/onnxruntime/core/framework/to_tensor_proto_element_type.h
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@
#include "core/framework/float4.h"
#include "core/common/float8.h"
#include "core/common/float16.h"
#include "core/framework/int2.h"
#include "core/framework/int4.h"

namespace onnxruntime {
Expand Down Expand Up @@ -116,5 +117,14 @@ constexpr ONNX_NAMESPACE::TensorProto_DataType ToTensorProtoElementType<UInt4x2>
return ONNX_NAMESPACE::TensorProto_DataType_UINT4;
}

template <>
constexpr ONNX_NAMESPACE::TensorProto_DataType ToTensorProtoElementType<Int2x4>() {
return ONNX_NAMESPACE::TensorProto_DataType_INT2;
}
template <>
constexpr ONNX_NAMESPACE::TensorProto_DataType ToTensorProtoElementType<UInt2x4>() {
return ONNX_NAMESPACE::TensorProto_DataType_UINT2;
}

} // namespace utils
} // namespace onnxruntime
3 changes: 3 additions & 0 deletions include/onnxruntime/core/session/onnxruntime_c_api.h
Original file line number Diff line number Diff line change
Expand Up @@ -209,6 +209,9 @@ typedef enum ONNXTensorElementDataType {
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT4, // maps to a pair of packed int4 values (size == 1 byte)
// Float4 types were introduced in ONNX 1.18. See https://onnx.ai/onnx/technical/float4.html
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT4E2M1, // maps to a pair of packed float4 values (size == 1 byte)
// Int2 types were introduced in ONNX 1.20. See https://onnx.ai/onnx/technical/int2.html
ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT2, // maps to 4 packed uint2 values (size == 1 byte)
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT2, // maps to 4 packed int2 values (size == 1 byte)
} ONNXTensorElementDataType;

// Synced with onnx TypeProto oneof
Expand Down
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