Description: Returns the sum of a specified dimension of the input tensor after NaN in the tensor is processed to 0.
Each operator has calls. First, [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] is called to perform computation.
[object Object][object Object]
Parameters:
[object Object](aclTensor*, computation input): input tensor. The data type can be FLOAT16, FLOAT32, INT8, INT16, INT32, INT64, UINT8, BOOL, or BFLOAT16, and must be convertible from/to that of[object Object](for details, see ). are supported. The can be ND.[object Object](aclIntArray*, computation input): dimension involved in computation. The value range is [–self.dim(), self.dim()]. If the length of the[object Object]array is 0, ReduceNansum computation is performed on all axes. The data type can be INT64.[object Object](bool, computation input): Whether to retain the dimension to be reduced in the output tensor.[object Object](aclDataType, computation input): required data type of the output tensor. The data type can be FLOAT16, FLOAT32, INT8, INT16, INT32, INT64, UINT8, BOOL, or BFLOAT16.[object Object](aclTensor*, computation output): output tensor. The data type can be FLOAT16, FLOAT32, INT8, INT16, INT32, INT64, UINT8, BOOL, or BFLOAT16, and must be convertible from/to that of[object Object](for details, see ). are supported. The can be ND.[object Object](uint64_t*, output): size of the workspace to be allocated on the device.[object Object](aclOpExecutor**, output): operator executor, containing the operator computation process.
Returns:
Parameters:
[object Object](void*, input): memory address of the workspace to be allocated on the device.[object Object](uint64_t, input): size of the workspace to be allocated on the device, which is obtained by calling the first-phase API[object Object].[object Object](aclOpExecutor*, input): operator executor, containing the operator computation process.[object Object](aclrtStream, input): stream for executing the task.
Returns:
- Deterministic computation:
[object Object]defaults to a deterministic implementation.
The following example is for reference only. For details, see .