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Fill DequantizeLinear CUDA opset gap (21 → 25) #27745

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5feec14
Fill DequantizeLinear CUDA opset gap: cap opset 21 to versioned 21-24…
Copilot Mar 18, 2026
ee38418
Update docs/OperatorKernels.md for DequantizeLinear opset 25 CUDA ker…
Copilot Mar 18, 2026
a3e3004
Merge remote-tracking branch 'origin/main' into copilot/update-dequan…
tianleiwu Mar 18, 2026
1b3efad
Update onnxruntime/core/providers/cuda/tensor/quantize_linear.cc
tianleiwu Apr 10, 2026
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3 changes: 2 additions & 1 deletion docs/OperatorKernels.md
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Original file line number Diff line number Diff line change
Expand Up @@ -697,7 +697,8 @@ Do not modify directly.*
|DepthToSpace|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
|||[11, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
|||[1, 10]|**T** = tensor(double), tensor(float), tensor(float16)|
|DequantizeLinear|*in* x:**T**<br> *in* x_scale:**tensor(float)**<br> *in* x_zero_point:**T**<br> *out* y:**tensor(float)**<br><br>or<br><br>*in* x:**T1**<br> *in* x_scale:**T2**<br> *in* x_zero_point:**T1**<br> *out* y:**T2**<br><br>or<br><br>*in* x:**T1**<br> *in* x_scale:**T2**<br> *in* x_zero_point:**T1**<br> *out* y:**T3**|21+|**T1** = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int4), tensor(int8), tensor(uint4), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
|DequantizeLinear|*in* x:**T**<br> *in* x_scale:**tensor(float)**<br> *in* x_zero_point:**T**<br> *out* y:**tensor(float)**<br><br>or<br><br>*in* x:**T1**<br> *in* x_scale:**T2**<br> *in* x_zero_point:**T1**<br> *out* y:**T2**<br><br>or<br><br>*in* x:**T1**<br> *in* x_scale:**T2**<br> *in* x_zero_point:**T1**<br> *out* y:**T3**|25+|**T1** = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int4), tensor(int8), tensor(uint4), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
|||[21, 24]|**T1** = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int4), tensor(int8), tensor(uint4), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
|||[19, 20]|**T1** = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int8), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
|||[13, 18]|**T** = tensor(int8), tensor(uint8)|
|||[10, 12]|**T** = tensor(int8), tensor(uint8)|
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80 changes: 56 additions & 24 deletions onnxruntime/core/providers/cuda/cuda_execution_provider.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -1521,19 +1521,19 @@ class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kO

// Opset 21.
// TODO(fajin): support other quantized types
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, uint8_t, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, int8_t, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, uint8_t, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, int8_t, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, UInt4x2, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Int4x2, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, UInt4x2, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Int4x2, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, uint8_t, float, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, int8_t, float, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, uint8_t, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, int8_t, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, UInt4x2, float, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Int4x2, float, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, UInt4x2, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Int4x2, MLFloat16, DequantizeLinear);
#if !defined(DISABLE_FLOAT8_TYPES)
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Float8E4M3FN, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Float8E5M2, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Float8E4M3FN, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Float8E5M2, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Float8E4M3FN, float, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Float8E5M2, float, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Float8E4M3FN, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Float8E5M2, MLFloat16, DequantizeLinear);
#endif

class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, uint8_t, float, QuantizeLinear);
Expand Down Expand Up @@ -1639,6 +1639,22 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain,
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, MLFloat16, Attention);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, BFloat16, Attention);

// Opset 25.
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, uint8_t, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, int8_t, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, uint8_t, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, int8_t, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, UInt4x2, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Int4x2, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, UInt4x2, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Int4x2, MLFloat16, DequantizeLinear);
#if !defined(DISABLE_FLOAT8_TYPES)
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E4M3FN, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E5M2, float, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E4M3FN, MLFloat16, DequantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E5M2, MLFloat16, DequantizeLinear);
#endif

#endif

template <>
Expand Down Expand Up @@ -2606,19 +2622,19 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {

// Opset 21
// TODO(fajin): support other quantized types
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, uint8_t, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, int8_t, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, uint8_t, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, int8_t, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, UInt4x2, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Int4x2, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, UInt4x2, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Int4x2, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, uint8_t, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, int8_t, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, uint8_t, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, int8_t, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, UInt4x2, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Int4x2, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, UInt4x2, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Int4x2, MLFloat16, DequantizeLinear)>,
#if !defined(DISABLE_FLOAT8_TYPES)
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Float8E4M3FN, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Float8E5M2, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Float8E4M3FN, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, Float8E5M2, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Float8E4M3FN, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Float8E5M2, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Float8E4M3FN, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, 24, Float8E5M2, MLFloat16, DequantizeLinear)>,
#endif
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, uint8_t, float, QuantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 21, int8_t, float, QuantizeLinear)>,
Expand Down Expand Up @@ -2721,6 +2737,22 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, float, Attention)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, MLFloat16, Attention)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 24, BFloat16, Attention)>,

// Opset 25
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, uint8_t, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, int8_t, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, uint8_t, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, int8_t, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, UInt4x2, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Int4x2, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, UInt4x2, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Int4x2, MLFloat16, DequantizeLinear)>,
#if !defined(DISABLE_FLOAT8_TYPES)
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E4M3FN, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E5M2, float, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E4M3FN, MLFloat16, DequantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E5M2, MLFloat16, DequantizeLinear)>,
#endif
#endif
};

Expand Down
55 changes: 41 additions & 14 deletions onnxruntime/core/providers/cuda/tensor/quantize_linear.cc
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Expand Up @@ -590,31 +590,58 @@ REGISTER_DQ_KERNEL_TWO_TYPED_19_20(Float8E4M3FN, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_19_20(Float8E5M2, MLFloat16)
#endif

#define REGISTER_DQ_KERNEL_TWO_TYPED_21(T, U) \
#define REGISTER_DQ_KERNEL_TWO_TYPED_21_24(T, U) \
ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_EX( \
DequantizeLinear, \
kOnnxDomain, \
21, 24, \
T, U, \
kCudaExecutionProvider, \
(*KernelDefBuilder::Create()) \
.TypeConstraint("T1", DataTypeImpl::GetTensorType<T>()) \
.TypeConstraint("T2", DataTypeImpl::GetTensorType<U>()), \
DequantizeLinear<T, U>);

REGISTER_DQ_KERNEL_TWO_TYPED_21_24(uint8_t, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(int8_t, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(uint8_t, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(int8_t, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(UInt4x2, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(Int4x2, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(UInt4x2, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(Int4x2, MLFloat16)
#if !defined(DISABLE_FLOAT8_TYPES)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(Float8E4M3FN, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(Float8E5M2, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(Float8E4M3FN, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_21_24(Float8E5M2, MLFloat16)
#endif

#define REGISTER_DQ_KERNEL_TWO_TYPED_25(T, U) \
ONNX_OPERATOR_TWO_TYPED_KERNEL_EX( \
DequantizeLinear, \
kOnnxDomain, \
21, \
25, \
T, U, \
kCudaExecutionProvider, \
(*KernelDefBuilder::Create()) \
.TypeConstraint("T1", DataTypeImpl::GetTensorType<T>()) \
.TypeConstraint("T2", DataTypeImpl::GetTensorType<U>()), \
DequantizeLinear<T, U>);

REGISTER_DQ_KERNEL_TWO_TYPED_21(uint8_t, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21(int8_t, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21(uint8_t, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_21(int8_t, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_21(UInt4x2, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21(Int4x2, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21(UInt4x2, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_21(Int4x2, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_25(uint8_t, float)
REGISTER_DQ_KERNEL_TWO_TYPED_25(int8_t, float)
REGISTER_DQ_KERNEL_TWO_TYPED_25(uint8_t, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_25(int8_t, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_25(UInt4x2, float)
REGISTER_DQ_KERNEL_TWO_TYPED_25(Int4x2, float)
REGISTER_DQ_KERNEL_TWO_TYPED_25(UInt4x2, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_25(Int4x2, MLFloat16)
#if !defined(DISABLE_FLOAT8_TYPES)
REGISTER_DQ_KERNEL_TWO_TYPED_21(Float8E4M3FN, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21(Float8E5M2, float)
REGISTER_DQ_KERNEL_TWO_TYPED_21(Float8E4M3FN, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_21(Float8E5M2, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_25(Float8E4M3FN, float)
REGISTER_DQ_KERNEL_TWO_TYPED_25(Float8E5M2, float)
REGISTER_DQ_KERNEL_TWO_TYPED_25(Float8E4M3FN, MLFloat16)
REGISTER_DQ_KERNEL_TWO_TYPED_25(Float8E5M2, MLFloat16)
#endif

// specialize QuantizeLinear::ComputeInternal and DequantizeLinear::ComputeInternal
Expand Down