Description: Checks whether elements in [object Object] are equal to [object Object].
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*, compute input): The shape cannot exceed 8D. 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]: The data type can be FLOAT, BFLOAT16, FLOAT16, INT32, INT64, INT16, INT8, UINT8, or DOUBLE, and must meet the with
[object Object]. - [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, INT32, INT64, INT16, INT8, UINT8, or DOUBLE, and must meet the with
[object Object].
- [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, BFLOAT16, FLOAT16, INT32, INT64, INT16, INT8, UINT8, or DOUBLE, and must meet the with
[object Object](aclScalar*, compute input): The data type must meet the with[object Object].- [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, BFLOAT16, FLOAT16, INT32, INT64, INT16, INT8, UINT8, or DOUBLE.
- [object Object]Atlas training products[object Object]: The data type can be FLOAT, FLOAT16, INT32, INT64, INT16, INT8, UINT8, or DOUBLE.
[object Object](bool, compute input): assumes that elements in element and testElement are unique when the value is True, to speed up computation.[object Object](bool, compute input): indicates whether the output result needs to be inverted.[object Object](aclTensor*, compute output): The data type can be BOOL. are supported. The shapes of out and element should be the same. 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:
[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 the first-phase API aclnnIsInTensorScalarGetWorkspaceSize.[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]