Description: Computes the element-wise logical NOT of the given input tensor. If no output type is specified, the output tensor is of the Boolean type. If the input tensor is not of the Boolean type, [object Object] is considered as [object Object], and a non-zero value is considered as [object Object].
[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 input parameters and compute the required workspace size based on the 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*, compute input): input tensor, aclTensor on the device. are supported. The supports ND.- [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be BOOL, UINT8, INT8, INT16, INT32, INT64, 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 BOOL, UINT8, INT8, INT16, INT32, INT64, FLOAT, FLOAT16, DOUBLE, or BFLOAT16.
[object Object](aclTensor*, compute output): output tensor, aclTensor on the device. The shape is the same as that of[object Object]. are supported. The supports ND.- [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be BOOL, UINT8, INT8, INT16, INT32, INT64, 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 BOOL, UINT8, INT8, INT16, INT32, INT64, 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:
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 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:
Parameters:
[object Object](aclTensor*, compute input): input tensor, aclTensor on the device. are supported. The supports ND.- [object Object]Atlas inference products[object Object] and [object Object]Atlas training products[object Object]: The data type can be BOOL, UINT8, INT8, INT16, INT32, INT64, 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 BOOL, UINT8, INT8, INT16, INT32, INT64, 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:
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 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]and[object Object]default to deterministic implementation.
The following example is for reference only. For details, see .