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Fill GlobalAveragePool and GlobalMaxPool opset gap in CUDA provider (1→22) #27733

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tianleiwu merged 3 commits into from
Mar 20, 2026
Merged

Fill GlobalAveragePool and GlobalMaxPool opset gap in CUDA provider (1→22) #27733

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32231db
Fill GlobalAveragePool and GlobalMaxPool opset gap in CUDA provider (…
Copilot Mar 18, 2026
38422e5
Update docs/OperatorKernels.md for GlobalAveragePool and GlobalMaxPoo…
Copilot Mar 18, 2026
cff48a3
Merge remote-tracking branch 'origin/main' into copilot/update-global…
tianleiwu Mar 18, 2026
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12 changes: 8 additions & 4 deletions docs/OperatorKernels.md
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Expand Up @@ -742,8 +742,10 @@ Do not modify directly.*
|||[11, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
|||[9, 10]|**T** = tensor(double), tensor(float), tensor(float16)|
|||[7, 8]|**T** = tensor(double), tensor(float), tensor(float16)|
|GlobalAveragePool|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
|GlobalMaxPool|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
|GlobalAveragePool|*in* X:**T**<br> *out* Y:**T**|22+|**T** = tensor(double), tensor(float), tensor(float16)|
|||[1, 21]|**T** = tensor(double), tensor(float), tensor(float16)|
|GlobalMaxPool|*in* X:**T**<br> *out* Y:**T**|22+|**T** = tensor(double), tensor(float), tensor(float16)|
|||[1, 21]|**T** = tensor(double), tensor(float), tensor(float16)|
|Greater|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|13+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T1** = tensor(bool)|
|||[9, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
|||[7, 8]|**T** = tensor(double), tensor(float), tensor(float16)|
Expand Down Expand Up @@ -1066,8 +1068,10 @@ 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)|
|GlobalAveragePool|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
|GlobalMaxPool|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
|GlobalAveragePool|*in* X:**T**<br> *out* Y:**T**|22+|**T** = tensor(float), tensor(float16)|
|||[1, 21]|**T** = tensor(float), tensor(float16)|
|GlobalMaxPool|*in* X:**T**<br> *out* Y:**T**|22+|**T** = tensor(float), tensor(float16)|
|||[1, 21]|**T** = tensor(float), tensor(float16)|
|GridSample|*in* X:**T1**<br> *in* grid:**T2**<br> *out* Y:**T1**|22+|**T1** = tensor(float)<br/> **T2** = tensor(float)|
|||[20, 21]|**T1** = tensor(float)<br/> **T2** = tensor(float)|
|||[16, 19]|**T1** = tensor(float)<br/> **T2** = tensor(float)|
Expand Down
36 changes: 24 additions & 12 deletions onnxruntime/core/providers/cuda/cuda_execution_provider.cc
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Expand Up @@ -760,18 +760,18 @@ class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kO
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 7, 9, float, AveragePool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 7, 9, double, AveragePool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 7, 9, MLFloat16, AveragePool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, float, GlobalAveragePool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, double, GlobalAveragePool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, MLFloat16, GlobalAveragePool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, float, GlobalAveragePool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, double, GlobalAveragePool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, MLFloat16, GlobalAveragePool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 7, float, MaxPool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 7, double, MaxPool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 7, MLFloat16, MaxPool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 8, 9, float, MaxPool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 8, 9, double, MaxPool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 8, 9, MLFloat16, MaxPool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, float, GlobalMaxPool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, double, GlobalMaxPool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, MLFloat16, GlobalMaxPool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, float, GlobalMaxPool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, double, GlobalMaxPool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, MLFloat16, GlobalMaxPool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 11, float, ArgMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 11, double, ArgMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 11, MLFloat16, ArgMax);
Expand Down Expand Up @@ -1579,6 +1579,12 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain,
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, AveragePool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, AveragePool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, BFloat16, AveragePool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, float, GlobalAveragePool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, GlobalAveragePool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, GlobalAveragePool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, float, GlobalMaxPool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, GlobalMaxPool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, GlobalMaxPool);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, float, Conv);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, Conv);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, Conv);
Expand Down Expand Up @@ -1845,18 +1851,18 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 7, 9, float, AveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 7, 9, double, AveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 7, 9, MLFloat16, AveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, float, GlobalAveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, double, GlobalAveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, MLFloat16, GlobalAveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, float, GlobalAveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, double, GlobalAveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, MLFloat16, GlobalAveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 7, float, MaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 7, double, MaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 7, MLFloat16, MaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 8, 9, float, MaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 8, 9, double, MaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 8, 9, MLFloat16, MaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, float, GlobalMaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, double, GlobalMaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, MLFloat16, GlobalMaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, float, GlobalMaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, double, GlobalMaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 21, MLFloat16, GlobalMaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 11, float, ArgMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 11, double, ArgMin)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 1, 11, MLFloat16, ArgMin)>,
Expand Down Expand Up @@ -2663,6 +2669,12 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, AveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, AveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, BFloat16, AveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, float, GlobalAveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, GlobalAveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, GlobalAveragePool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, float, GlobalMaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, GlobalMaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, GlobalMaxPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, float, Conv)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, Conv)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, Conv)>,
Expand Down
24 changes: 16 additions & 8 deletions onnxruntime/core/providers/cuda/cuda_nhwc_kernels.cc
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Expand Up @@ -39,14 +39,18 @@ class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 10, float, ConvTranspose);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 10, MLFloat16, ConvTranspose);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(7, 9, float, AveragePool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(7, 9, MLFloat16, AveragePool);
class CUDA_NHWC_OP_TYPED_CLASS_NAME(1, float, GlobalAveragePool);
class CUDA_NHWC_OP_TYPED_CLASS_NAME(1, MLFloat16, GlobalAveragePool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 21, float, GlobalAveragePool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 21, MLFloat16, GlobalAveragePool);
class CUDA_NHWC_OP_TYPED_CLASS_NAME(22, float, GlobalAveragePool);
class CUDA_NHWC_OP_TYPED_CLASS_NAME(22, MLFloat16, GlobalAveragePool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 7, float, MaxPool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 7, MLFloat16, MaxPool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(8, 9, float, MaxPool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(8, 9, MLFloat16, MaxPool);
class CUDA_NHWC_OP_TYPED_CLASS_NAME(1, float, GlobalMaxPool);
class CUDA_NHWC_OP_TYPED_CLASS_NAME(1, MLFloat16, GlobalMaxPool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 21, float, GlobalMaxPool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 21, MLFloat16, GlobalMaxPool);
class CUDA_NHWC_OP_TYPED_CLASS_NAME(22, float, GlobalMaxPool);
class CUDA_NHWC_OP_TYPED_CLASS_NAME(22, MLFloat16, GlobalMaxPool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(10, 10, float, AveragePool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(10, 10, MLFloat16, AveragePool);
class CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(10, 10, float, MaxPool);
Expand Down Expand Up @@ -118,14 +122,18 @@ Status RegisterCudaNhwcKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(19, 21, MLFloat16, AveragePool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_TYPED_CLASS_NAME(22, float, AveragePool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_TYPED_CLASS_NAME(22, MLFloat16, AveragePool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_TYPED_CLASS_NAME(1, float, GlobalAveragePool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_TYPED_CLASS_NAME(1, MLFloat16, GlobalAveragePool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 21, float, GlobalAveragePool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 21, MLFloat16, GlobalAveragePool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_TYPED_CLASS_NAME(22, float, GlobalAveragePool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_TYPED_CLASS_NAME(22, MLFloat16, GlobalAveragePool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 7, float, MaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 7, MLFloat16, MaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(8, 9, float, MaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(8, 9, MLFloat16, MaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_TYPED_CLASS_NAME(1, float, GlobalMaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_TYPED_CLASS_NAME(1, MLFloat16, GlobalMaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 21, float, GlobalMaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(1, 21, MLFloat16, GlobalMaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_TYPED_CLASS_NAME(22, float, GlobalMaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_TYPED_CLASS_NAME(22, MLFloat16, GlobalMaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(10, 10, float, MaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(10, 10, MLFloat16, MaxPool)>,
BuildKernelCreateInfo<CUDA_NHWC_OP_VERSIONED_TYPED_CLASS_NAME(11, 11, float, MaxPool)>,
Expand Down
32 changes: 22 additions & 10 deletions onnxruntime/core/providers/cuda/nn/pool.cc
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Expand Up @@ -57,9 +57,13 @@ POOLING_KERNEL(AveragePool, float, AveragePool, 22, kOnnxDomain, false)
POOLING_KERNEL(AveragePool, double, AveragePool, 22, kOnnxDomain, false)
POOLING_KERNEL(AveragePool, MLFloat16, AveragePool, 22, kOnnxDomain, false)
POOLING_KERNEL(AveragePool, BFloat16, AveragePool, 22, kOnnxDomain, false)
POOLING_KERNEL(GlobalAveragePool, float, AveragePool, 1, kOnnxDomain, false)
POOLING_KERNEL(GlobalAveragePool, double, AveragePool, 1, kOnnxDomain, false)
POOLING_KERNEL(GlobalAveragePool, MLFloat16, AveragePool, 1, kOnnxDomain, false)
// GlobalAveragePool opsets 1-22 share the same CUDA implementation for the currently supported types.
POOLING_KERNEL_VERSIONED(GlobalAveragePool, float, AveragePool, 1, 21, kOnnxDomain, false)
POOLING_KERNEL_VERSIONED(GlobalAveragePool, double, AveragePool, 1, 21, kOnnxDomain, false)
POOLING_KERNEL_VERSIONED(GlobalAveragePool, MLFloat16, AveragePool, 1, 21, kOnnxDomain, false)
POOLING_KERNEL(GlobalAveragePool, float, AveragePool, 22, kOnnxDomain, false)
POOLING_KERNEL(GlobalAveragePool, double, AveragePool, 22, kOnnxDomain, false)
POOLING_KERNEL(GlobalAveragePool, MLFloat16, AveragePool, 22, kOnnxDomain, false)
POOLING_KERNEL_VERSIONED(MaxPool, float, MaxPool<1>, 1, 7, kOnnxDomain, false)
POOLING_KERNEL_VERSIONED(MaxPool, double, MaxPool<1>, 1, 7, kOnnxDomain, false)
POOLING_KERNEL_VERSIONED(MaxPool, MLFloat16, MaxPool<1>, 1, 7, kOnnxDomain, false)
Expand All @@ -78,9 +82,13 @@ POOLING_KERNEL_WITH_INDICES(MaxPool, MLFloat16, MaxPool<8>, 12, kOnnxDomain, fal
POOLING_KERNEL_WITH_INDICES(MaxPool, int8_t, MaxPool<8>, 12, kOnnxDomain, false)
POOLING_KERNEL_WITH_INDICES(MaxPool, uint8_t, MaxPool<8>, 12, kOnnxDomain, false)

POOLING_KERNEL(GlobalMaxPool, float, MaxPool<1>, 1, kOnnxDomain, false)
POOLING_KERNEL(GlobalMaxPool, double, MaxPool<1>, 1, kOnnxDomain, false)
POOLING_KERNEL(GlobalMaxPool, MLFloat16, MaxPool<1>, 1, kOnnxDomain, false)
// GlobalMaxPool opsets 1-22 share the same CUDA implementation for the currently supported types.
POOLING_KERNEL_VERSIONED(GlobalMaxPool, float, MaxPool<1>, 1, 21, kOnnxDomain, false)
POOLING_KERNEL_VERSIONED(GlobalMaxPool, double, MaxPool<1>, 1, 21, kOnnxDomain, false)
POOLING_KERNEL_VERSIONED(GlobalMaxPool, MLFloat16, MaxPool<1>, 1, 21, kOnnxDomain, false)
POOLING_KERNEL(GlobalMaxPool, float, MaxPool<1>, 22, kOnnxDomain, false)
POOLING_KERNEL(GlobalMaxPool, double, MaxPool<1>, 22, kOnnxDomain, false)
POOLING_KERNEL(GlobalMaxPool, MLFloat16, MaxPool<1>, 22, kOnnxDomain, false)

// NHWC variants
#ifdef ENABLE_CUDA_NHWC_OPS
Expand All @@ -97,8 +105,10 @@ POOLING_KERNEL_WITH_INDICES(MaxPool, MLFloat16, MaxPool<8>, 12, kMSInternalNHWCD
POOLING_KERNEL_WITH_INDICES(MaxPool, int8_t, MaxPool<8>, 12, kMSInternalNHWCDomain, true)
POOLING_KERNEL_WITH_INDICES(MaxPool, uint8_t, MaxPool<8>, 12, kMSInternalNHWCDomain, true)

POOLING_KERNEL(GlobalMaxPool, float, MaxPool<1>, 1, kMSInternalNHWCDomain, true)
POOLING_KERNEL(GlobalMaxPool, MLFloat16, MaxPool<1>, 1, kMSInternalNHWCDomain, true)
POOLING_KERNEL_VERSIONED(GlobalMaxPool, float, MaxPool<1>, 1, 21, kMSInternalNHWCDomain, true)
POOLING_KERNEL_VERSIONED(GlobalMaxPool, MLFloat16, MaxPool<1>, 1, 21, kMSInternalNHWCDomain, true)
POOLING_KERNEL(GlobalMaxPool, float, MaxPool<1>, 22, kMSInternalNHWCDomain, true)
POOLING_KERNEL(GlobalMaxPool, MLFloat16, MaxPool<1>, 22, kMSInternalNHWCDomain, true)

POOLING_KERNEL_VERSIONED(AveragePool, float, AveragePool, 7, 9, kMSInternalNHWCDomain, true)
POOLING_KERNEL_VERSIONED(AveragePool, MLFloat16, AveragePool, 7, 9, kMSInternalNHWCDomain, true)
Expand All @@ -111,8 +121,10 @@ POOLING_KERNEL_VERSIONED(AveragePool, float, AveragePool, 19, 21, kMSInternalNHW
POOLING_KERNEL_VERSIONED(AveragePool, MLFloat16, AveragePool, 19, 21, kMSInternalNHWCDomain, true)
POOLING_KERNEL(AveragePool, float, AveragePool, 22, kMSInternalNHWCDomain, true)
POOLING_KERNEL(AveragePool, MLFloat16, AveragePool, 22, kMSInternalNHWCDomain, true)
POOLING_KERNEL(GlobalAveragePool, float, AveragePool, 1, kMSInternalNHWCDomain, true)
POOLING_KERNEL(GlobalAveragePool, MLFloat16, AveragePool, 1, kMSInternalNHWCDomain, true)
POOLING_KERNEL_VERSIONED(GlobalAveragePool, float, AveragePool, 1, 21, kMSInternalNHWCDomain, true)
POOLING_KERNEL_VERSIONED(GlobalAveragePool, MLFloat16, AveragePool, 1, 21, kMSInternalNHWCDomain, true)
POOLING_KERNEL(GlobalAveragePool, float, AveragePool, 22, kMSInternalNHWCDomain, true)
POOLING_KERNEL(GlobalAveragePool, MLFloat16, AveragePool, 22, kMSInternalNHWCDomain, true)
#endif

class CudnnPoolingDescriptor final {
Expand Down
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