Operator function: Fills the
[object Object]tensor with all zeros.Formula:
Example:
[object Object]
Each operator has calls. First, [object Object] is called to obtain the input parameters and compute the required workspace size based on the process. Then, [object Object] is called to perform computation.
[object Object][object Object]
Parameters:
[object Object](aclTensor*, compute input | compute output):[object Object]in the formula, 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 INT8, INT32, INT64, UINT8, FLOAT16, FLOAT32, BOOL, DOUBLE, INT16, UINT16, COMPLEX128, or COMPLEX64.
- [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, INT32, INT64, UINT8, FLOAT16, FLOAT32, BOOL, DOUBLE, INT16, UINT16, COMPLEX128, COMPLEX64, 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]
Parameters:
[object Object](void*, input): 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 aclnnInplaceZeroGetWorkspaceSize.[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 .
[object Object]