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Fill Reshape CUDA operator opset gap from 23 to 25 #27742

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50a9141
Fill Reshape CUDA operator opset gap from 23 to 25
Copilot Mar 18, 2026
2c7dfd5
Update docs/OperatorKernels.md for Reshape CUDA opset 25
Copilot Mar 18, 2026
20824ed
Merge remote-tracking branch 'origin/main' into copilot/update-reshap…
tianleiwu Mar 18, 2026
dc86444
Merge origin
tianleiwu May 5, 2026
f946e86
Potential fix for pull request finding
tianleiwu May 5, 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 @@ -914,7 +914,8 @@ The **OpSet Version** column uses the following notation:
|Relu|*in* X:**T**<br> *out* Y:**T**|14+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
|||13|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
|Reshape|*in* data:**T**<br> *in* shape:**tensor(int64)**<br> *out* reshaped:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reshaped:**T**|23+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
|Reshape|*in* data:**T**<br> *in* shape:**tensor(int64)**<br> *out* reshaped:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reshaped:**T**|25+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
|||[23, 24]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
|||[21, 22]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
|||[19, 20]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
|||[14, 18]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
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6 changes: 4 additions & 2 deletions onnxruntime/core/providers/cuda/cuda_execution_provider.cc
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Expand Up @@ -1738,7 +1738,7 @@ class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, 24, Float8E4M3FN, MLFloat16, QuantizeLinear);
class ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, 24, Float8E5M2, MLFloat16, QuantizeLinear);
#endif
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, Reshape);
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, 24, Reshape);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, float_float, RMSNormalization);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, double_double, RMSNormalization);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, MLFloat16_MLFloat16, RMSNormalization);
Expand Down Expand Up @@ -1806,6 +1806,7 @@ class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDom
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E4M3FN, MLFloat16, QuantizeLinear);
class ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E5M2, MLFloat16, QuantizeLinear);
#endif
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Reshape);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Scan);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Shape);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Size);
Expand Down Expand Up @@ -2942,7 +2943,7 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, 24, Float8E4M3FN, MLFloat16, QuantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, 24, Float8E5M2, MLFloat16, QuantizeLinear)>,
#endif
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, Reshape)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, 24, Reshape)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, float_float, RMSNormalization)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, double_double, RMSNormalization)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, MLFloat16_MLFloat16, RMSNormalization)>,
Expand Down Expand Up @@ -3010,6 +3011,7 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E4M3FN, MLFloat16, QuantizeLinear)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TWO_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Float8E5M2, MLFloat16, QuantizeLinear)>,
#endif
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Reshape)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Scan)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Shape)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 25, Size)>,
Expand Down
14 changes: 13 additions & 1 deletion onnxruntime/core/providers/cuda/tensor/reshape.cc
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Expand Up @@ -89,7 +89,19 @@ std::unique_ptr<Tensor> FuncReshape(
ONNX_OPERATOR_KERNEL_EX(
Reshape,
kOnnxDomain,
23,
25,
kCudaExecutionProvider,
(*KernelDefBuilder::Create())
.TypeConstraint("T", DataTypeImpl::AllFixedSizeTensorTypesIRv9())
.TypeConstraint("shape", DataTypeImpl::GetTensorType<int64_t>())
.Alias(0, 0)
.InputMemoryType(OrtMemTypeCPUInput, 1),
Reshape);

ONNX_OPERATOR_VERSIONED_KERNEL_EX(
Reshape,
kOnnxDomain,
23, 24,
kCudaExecutionProvider,
(*KernelDefBuilder::Create())
.TypeConstraint("T", DataTypeImpl::AllFixedSizeTensorTypesIRv9())
Expand Down
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