- Operator function: Computes the opposite number of each input element.
- 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): aclTensor on the device. are supported. The can be ND.- [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]: INT8, INT32, INT64, FLOAT16, BFLOAT16, FLOAT32, DOUBLE, COMPLEX64, or COMPLEX128.
- [object Object]Atlas 200I/500 A2 inference products[object Object] and [object Object]Atlas training products[object Object]: INT8, INT32, INT64, FLOAT16, FLOAT32, DOUBLE, COMPLEX64, or COMPLEX128.
[object Object](aclTensor*, computation output): aclTensor on the device. The data type of[object Object]must be convertible from that of[object Object](see ). are supported. The supports ND.- [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]: INT8, INT32, INT64, FLOAT16, BFLOAT16, FLOAT32, DOUBLE, COMPLEX64, or COMPLEX128.
- [object Object]Atlas 200I/500 A2 inference products[object Object] and [object Object]Atlas training products[object Object]: INT8, INT32, INT64, FLOAT16, FLOAT32, DOUBLE, COMPLEX64, or COMPLEX128.
[object Object](uint64_t*, computation output): size of the workspace to be allocated on the device.[object Object](aclOpExecutor**, computation output): operator executor, which contains the operator computation process.
Returns:
[object Object]
Parameters:
[object Object](void*, computation input): address of the workspace to be allocated on the device.[object Object](uint64_t, computation 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*, computation input): operator executor, containing the operator computation process.[object Object](aclrtStream, computation input): stream for executing the task.
Returns:
Parameters:
[object Object](aclTensor*, computation input | computation output): aclTensor on the device. are supported. The can be ND.- [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]: INT8, INT32, INT64, FLOAT16, BFLOAT16, FLOAT32, DOUBLE, COMPLEX64, or COMPLEX128.
- [object Object]Atlas 200I/500 A2 inference products[object Object] and [object Object]Atlas training products[object Object]: INT8, INT32, INT64, FLOAT16, FLOAT32, DOUBLE, COMPLEX64, or COMPLEX128.
[object Object](uint64_t*, computation output): size of the workspace to be allocated on the device.[object Object](aclOpExecutor**, computation output): operator executor, which contains the operator computation process.
Returns:
[object Object]
Parameters:
[object Object](void*, computation input): address of the workspace to be allocated on the device.[object Object](uint64_t, computation 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*, computation input): operator executor, containing the operator computation process.[object Object](aclrtStream, computation input): stream for executing the task.
Returns:
- Deterministic computing:
[object Object]defaults to a deterministic implementation.
The following example is for reference only. For details, see . aclnnNeg sample code:
[object Object]
aclnnInplaceNeg sample code:
[object Object]