Description: Performs the sinc operation on the input tensor.
Formula:
[object Object]and[object Object]implement the same function in different ways. Select a proper operator based on your requirements.[object Object]: An output tensor object needs to be created to store the computation result.[object Object]: No output tensor object needs to be created, and the computation result is stored in the memory of the input tensor.
Each operator has calls. First,
[object Object]or[object Object]is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then,[object Object]or[object Object]is called to perform computation.[object Object][object Object][object Object][object Object]
Parameters:
[object Object](aclTensor*, computation input):[object Object]in the formula. When the data type is INT8, INT16, INT32, INT64, UINT8, or BOOL, the data type is converted to FLOAT for computation, and the output is of the FLOAT type. are supported. The can be ND. The shape dimensions cannot be greater than 8, and the shape must be the same as that of[object Object].- [object Object]Atlas training products[object Object]: The data type can be INT8, INT16, INT32, INT64, UINT8, BOOL, FLOAT, FLOAT16, or DOUBLE.
- [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be INT8, INT16, INT32, INT64, UINT8, BOOL, FLOAT, FLOAT16, DOUBLE, or BFLOAT16.
[object Object](aclTensor *, compute output):[object Object]in the formula. are supported. The supports ND. The shape cannot be greater than 8 dimensions, and must be the same as that of[object Object]. The data type must meet the with[object Object].- [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, or DOUBLE.
- [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, or BFLOAT16.
[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:
[object Object]: status code. For details, see .The first-phase API implements input parameter verification. The following errors may be thrown:
[object Object]
Parameters:
[object Object](aclTensor*, computation input | computation output): input and output tensor, that is,[object Object]and[object Object]in the formula. are supported. The can be ND. The shape cannot be greater than 8D.- [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, or DOUBLE.
- [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]: The data type can be FLOAT, FLOAT16, DOUBLE, or BFLOAT16.
[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:
[object Object]: status code. For details, see .The first-phase API implements input parameter verification. The following errors may be thrown:
[object Object]
- Deterministic compute:
[object Object]defaults to a deterministic implementation.
The following example is for reference only. For details, see .
aclnnSinc sample code:
aclnnInplaceSinc sample code: