Reduce operators support for int64 type (#15358)

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Aditya Goel 2023-04-05 17:19:43 +01:00 committed by GitHub
parent 9f5aa8e021
commit a4e9a48345
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GPG key ID: 4AEE18F83AFDEB23
4 changed files with 175 additions and 24 deletions

View file

@ -247,22 +247,22 @@ Do not modify directly.*
|Range|*in* start:**T**<br> *in* limit:**T**<br> *in* delta:**T**<br> *out* output:**T**|11+|**T** = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64)|
|Reciprocal|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(double), tensor(float)|
|||[6, 12]|**T** = tensor(double), tensor(float)|
|ReduceL1|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(int32)|
|||[13, 17]|**T** = tensor(float), tensor(int32)|
|||[11, 12]|**T** = tensor(float), tensor(int32)|
|||[1, 10]|**T** = tensor(float), tensor(int32)|
|ReduceL2|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(int32)|
|||[13, 17]|**T** = tensor(float), tensor(int32)|
|||[11, 12]|**T** = tensor(float), tensor(int32)|
|||[1, 10]|**T** = tensor(float), tensor(int32)|
|ReduceLogSum|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(int32)|
|||[13, 17]|**T** = tensor(float), tensor(int32)|
|||[11, 12]|**T** = tensor(float), tensor(int32)|
|||[1, 10]|**T** = tensor(float), tensor(int32)|
|ReduceLogSumExp|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(int32)|
|||[13, 17]|**T** = tensor(double), tensor(float), tensor(int32)|
|||[11, 12]|**T** = tensor(double), tensor(float), tensor(int32)|
|||[1, 10]|**T** = tensor(double), tensor(float), tensor(int32)|
|ReduceL1|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(int32), tensor(int64)|
|||[13, 17]|**T** = tensor(float), tensor(int32), tensor(int64)|
|||[11, 12]|**T** = tensor(float), tensor(int32), tensor(int64)|
|||[1, 10]|**T** = tensor(float), tensor(int32), tensor(int64)|
|ReduceL2|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(int32), tensor(int64)|
|||[13, 17]|**T** = tensor(float), tensor(int32), tensor(int64)|
|||[11, 12]|**T** = tensor(float), tensor(int32), tensor(int64)|
|||[1, 10]|**T** = tensor(float), tensor(int32), tensor(int64)|
|ReduceLogSum|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(int32), tensor(int64)|
|||[13, 17]|**T** = tensor(float), tensor(int32), tensor(int64)|
|||[11, 12]|**T** = tensor(float), tensor(int32), tensor(int64)|
|||[1, 10]|**T** = tensor(float), tensor(int32), tensor(int64)|
|ReduceLogSumExp|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|||[13, 17]|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|||[11, 12]|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|||[1, 10]|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|ReduceMax|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8)|
|||[13, 17]|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8)|
|||12|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8)|
@ -284,10 +284,10 @@ Do not modify directly.*
|ReduceSum|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|13+|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|||[11, 12]|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|||[1, 10]|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|ReduceSumSquare|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(int32)|
|||[13, 17]|**T** = tensor(double), tensor(float), tensor(int32)|
|||[11, 12]|**T** = tensor(double), tensor(float), tensor(int32)|
|||[1, 10]|**T** = tensor(double), tensor(float), tensor(int32)|
|ReduceSumSquare|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|||[13, 17]|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|||[11, 12]|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|||[1, 10]|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64)|
|Relu|*in* X:**T**<br> *out* Y:**T**|14+|**T** = tensor(double), tensor(float), tensor(int32), tensor(int8)|
|||13|**T** = tensor(double), tensor(float)|
|||[6, 12]|**T** = tensor(double), tensor(float)|

View file

@ -186,17 +186,23 @@ class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, Glo
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, MaxRoiPool);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, float, ReduceL1);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int32_t, ReduceL1);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int64_t, ReduceL1);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, float, ReduceL2);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int32_t, ReduceL2);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int64_t, ReduceL2);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, float, ReduceLogSum);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int32_t,
ReduceLogSum);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int64_t,
ReduceLogSum);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, float,
ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, double,
ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int32_t,
ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int64_t,
ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, float, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, double, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int32_t, ReduceMax);
@ -221,6 +227,8 @@ class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOn
ReduceSumSquare);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, double,
ReduceSumSquare);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int64_t,
ReduceSumSquare);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, float, ArgMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, int8_t, ArgMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10, uint8_t, ArgMax);
@ -390,13 +398,17 @@ class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOn
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int32_t, ArgMin);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, float, ReduceL1);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int32_t, ReduceL1);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int64_t, ReduceL1);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, float, ReduceL2);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int32_t, ReduceL2);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int64_t, ReduceL2);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, float, ReduceLogSum);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int32_t, ReduceLogSum);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int64_t, ReduceLogSum);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, float, ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, double, ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int32_t, ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int64_t, ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 11, float, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 11, double, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 11, int32_t, ReduceMax);
@ -418,6 +430,7 @@ class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOn
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, float, ReduceSumSquare);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, double, ReduceSumSquare);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int32_t, ReduceSumSquare);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, int64_t, ReduceSumSquare);
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, Hardmax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, float, LogSoftmax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12, double, LogSoftmax);
@ -671,13 +684,17 @@ class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, Ga
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, Pad);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, float, ReduceL1);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int32_t, ReduceL1);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int64_t, ReduceL1);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, float, ReduceL2);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int32_t, ReduceL2);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int64_t, ReduceL2);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, float, ReduceLogSum);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int32_t, ReduceLogSum);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int64_t, ReduceLogSum);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, float, ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, double, ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int32_t, ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int64_t, ReduceLogSumExp);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, float, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, double, ReduceMax);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int32_t, ReduceMax);
@ -699,6 +716,7 @@ class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOn
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, float, ReduceSumSquare);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, double, ReduceSumSquare);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int32_t, ReduceSumSquare);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int64_t, ReduceSumSquare);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, float, ReduceSum);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, double, ReduceSum);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, int32_t, ReduceSum);
@ -805,13 +823,17 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain,
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, uint8_t, Resize);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, float, ReduceL1);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int32_t, ReduceL1);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int64_t, ReduceL1);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, float, ReduceL2);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int32_t, ReduceL2);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int64_t, ReduceL2);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, float, ReduceLogSum);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int32_t, ReduceLogSum);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int64_t, ReduceLogSum);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, float, ReduceLogSumExp);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, double, ReduceLogSumExp);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int32_t, ReduceLogSumExp);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int64_t, ReduceLogSumExp);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, float, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, double, ReduceMax);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int32_t, ReduceMax);
@ -833,6 +855,7 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain,
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, float, ReduceSumSquare);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, double, ReduceSumSquare);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int32_t, ReduceSumSquare);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int64_t, ReduceSumSquare);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, LpPool);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, Col2Im);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int8_t, BitwiseAnd);
@ -1099,20 +1122,28 @@ Status RegisterOnnxOperatorKernels(KernelRegistry& kernel_registry) {
float, ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
int32_t, ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
int64_t, ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
float, ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
int32_t, ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
int64_t, ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
float, ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
int32_t, ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
int64_t, ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
float, ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
double, ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
int32_t, ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
int64_t, ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
float, ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
@ -1155,6 +1186,8 @@ Status RegisterOnnxOperatorKernels(KernelRegistry& kernel_registry) {
int32_t, ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
double, ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
int64_t, ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
float, ArgMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 1, 10,
@ -1565,20 +1598,28 @@ Status RegisterOnnxOperatorKernels(KernelRegistry& kernel_registry) {
float, ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
int32_t, ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
int64_t, ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
float, ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
int32_t, ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
int64_t, ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
float, ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
int32_t, ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
int64_t, ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
float, ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
double, ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
int32_t, ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
int64_t, ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
float, ReduceMean)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
@ -1605,6 +1646,8 @@ Status RegisterOnnxOperatorKernels(KernelRegistry& kernel_registry) {
int32_t, ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
double, ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 11, 12,
int64_t, ReduceSumSquare)>,
// OpSet 12
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 12, 12, Clip)>,
@ -1901,20 +1944,28 @@ Status RegisterOnnxOperatorKernels(KernelRegistry& kernel_registry) {
ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int32_t,
ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int64_t,
ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, float,
ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int32_t,
ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int64_t,
ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, float,
ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int32_t,
ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int64_t,
ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, float,
ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, double,
ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int32_t,
ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int64_t,
ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, float,
ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, double,
@ -1957,6 +2008,8 @@ Status RegisterOnnxOperatorKernels(KernelRegistry& kernel_registry) {
ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, double,
ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, 17, int64_t,
ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, float,
ReduceSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 13, int32_t,
@ -2115,20 +2168,28 @@ Status RegisterOnnxOperatorKernels(KernelRegistry& kernel_registry) {
ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int32_t,
ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int64_t,
ReduceL1)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, float,
ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int32_t,
ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int64_t,
ReduceL2)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, float,
ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int32_t,
ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int64_t,
ReduceLogSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, float,
ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, double,
ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int32_t,
ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int64_t,
ReduceLogSumExp)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, float,
ReduceMax)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, double,
@ -2171,6 +2232,8 @@ Status RegisterOnnxOperatorKernels(KernelRegistry& kernel_registry) {
ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, double,
ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int64_t,
ReduceSumSquare)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, LpPool)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, Col2Im)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 18, int8_t, BitwiseAnd)>,

View file

@ -115,28 +115,44 @@ namespace onnxruntime {
x<uint8_t>);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL1, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceL1, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL1, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceL1, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL1, 13, 17);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceL1, 13, 17);
REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceL1, 18);
REGISTER_UNARY_ELEMENTWISE_KERNEL_INT64_ONLY(ReduceL1, 18);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL2, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceL2, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL2, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceL2, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceL2, 13, 17);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceL2, 13, 17);
REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceL2, 18);
REGISTER_UNARY_ELEMENTWISE_KERNEL_INT64_ONLY(ReduceL2, 18);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSum, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceLogSum, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSum, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceLogSum, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSum, 13, 17);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceLogSum, 13, 17);
REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceLogSum, 18);
REGISTER_UNARY_ELEMENTWISE_KERNEL_INT64_ONLY(ReduceLogSum, 18);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSumExp, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSumExp, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSumExp, 13, 17);
REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceLogSumExp, 18);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_DOUBLE_ONLY(ReduceLogSumExp, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceLogSumExp, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSumExp, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_DOUBLE_ONLY(ReduceLogSumExp, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceLogSumExp, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceLogSumExp, 13, 17);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_DOUBLE_ONLY(ReduceLogSumExp, 13, 17);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceLogSumExp, 13, 17);
REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceLogSumExp, 18);
REGISTER_UNARY_ELEMENTWISE_KERNEL_DOUBLE_ONLY(ReduceLogSumExp, 18);
REGISTER_UNARY_ELEMENTWISE_KERNEL_INT64_ONLY(ReduceLogSumExp, 18);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceMax, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceMax, 1, 10);
@ -218,12 +234,16 @@ REGISTER_UNARY_ELEMENTWISE_KERNEL_DOUBLE_ONLY(ReduceSum, 13);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceSumSquare, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_DOUBLE_ONLY(ReduceSumSquare, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceSumSquare, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceSumSquare, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_DOUBLE_ONLY(ReduceSumSquare, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceSumSquare, 11, 12);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ReduceSumSquare, 13, 17);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_DOUBLE_ONLY(ReduceSumSquare, 13, 17);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT64_ONLY(ReduceSumSquare, 13, 17);
REGISTER_UNARY_ELEMENTWISE_KERNEL(ReduceSumSquare, 18);
REGISTER_UNARY_ELEMENTWISE_KERNEL_DOUBLE_ONLY(ReduceSumSquare, 18);
REGISTER_UNARY_ELEMENTWISE_KERNEL_INT64_ONLY(ReduceSumSquare, 18);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL(ArgMax, 1, 10);
REGISTER_UNARY_ELEMENTWISE_VERSIONED_KERNEL_INT8_ONLY(ArgMax, 1, 10)

View file

@ -278,6 +278,23 @@ TEST(ReductionOpTest, ReduceL1_int32) {
test.AddOutput<int32_t>("reduced", {1, 2, 1}, {33, 45});
test.Run();
}
TEST(ReductionOpTest, ReduceL1_int64) {
OpTester test("ReduceL1");
test.AddAttribute("axes", std::vector<int64_t>{0, 2});
test.AddInput<int64_t>("data", {3, 2, 2},
{1, 2,
3, 4,
5, 6,
7, 8,
9, 10,
11, 12});
test.AddOutput<int64_t>("reduced", {1, 2, 1}, {33, 45});
test.Run();
}
#if defined(USE_DNNL)
TEST(ReductionOpTest, ReduceL1_bfloat16) {
#ifdef USE_DNNL
@ -452,6 +469,23 @@ TEST(ReductionOpTest, ReduceL2_int32) {
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kTensorrtExecutionProvider, kOpenVINOExecutionProvider}); //TensorRT: Int32 not allowed as input to this layer
}
TEST(ReductionOpTest, ReduceL2_int64) {
OpTester test("ReduceL2");
test.AddAttribute("axes", std::vector<int64_t>{0, 2});
test.AddAttribute("keepdims", (int64_t)0);
test.AddInput<int64_t>("data", {3, 2, 2},
{1, 2,
3, 4,
5, 6,
7, 8,
9, 10,
11, 12});
test.AddOutput<int64_t>("reduced", {2}, {15, 20});
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kTensorrtExecutionProvider, kOpenVINOExecutionProvider}); //TensorRT: Int64 not allowed as input to this layer
}
TEST(ReductionOpTest, ReduceL20DTensor) {
OpTester test("ReduceL2");
test.AddInput<float>("data", {}, {2});
@ -830,6 +864,23 @@ TEST(ReductionOpTest, ReduceLogSumExp_int32) {
test.Run();
}
TEST(ReductionOpTest, ReduceLogSumExp_int64) {
OpTester test("ReduceLogSumExp");
test.AddAttribute("axes", std::vector<int64_t>{0, 2});
test.AddAttribute("keepdims", (int64_t)1);
test.AddInput<int64_t>("data", {3, 2, 2},
{1, 2,
3, 4,
5, 6,
7, 8,
9, 10,
11, 12});
test.AddOutput<int64_t>("reduced", {1, 2, 1}, {10, 12});
test.Run();
}
TEST(ReductionOpTest, ReduceLogSumExp0DTensor) {
OpTester test("ReduceLogSumExp");
test.AddInput<float>("data", {}, {2});
@ -2458,7 +2509,24 @@ TEST(ReductionOpTest, ReduceSumSquare_int32) {
9, 10,
11, 12});
test.AddOutput<int32_t>("reduced", {1, 2, 1}, {247, 403});
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kTensorrtExecutionProvider}); //TensorRT: Int32 not allowed as input to this layer
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kTensorrtExecutionProvider}); //TensorRT: Int64 not allowed as input to this layer
}
TEST(ReductionOpTest, ReduceSumSquare_int64) {
OpTester test("ReduceSumSquare");
test.AddAttribute("axes", std::vector<int64_t>{0, 2});
test.AddAttribute("keepdims", (int64_t)1);
test.AddInput<int64_t>("data", {3, 2, 2},
{1, 2,
3, 4,
5, 6,
7, 8,
9, 10,
11, 12});
test.AddOutput<int64_t>("reduced", {1, 2, 1}, {247, 403});
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kTensorrtExecutionProvider}); //TensorRT: Int64 not allowed as input to this layer
}
TEST(ReductionOpTest, ReduceSumSquare_default_axes_keepdims) {