Description: Rounds the input value to the nearest integer. If the value is equidistant from two integers, round it to the even integer.
[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): aclTensor on the device. The supports ND, and the shape does not support 9D or higher.- [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT32, DOUBLE, INT32, or INT64.
- [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 BFLOAT16, FLOAT16, FLOAT32, DOUBLE, INT32, or INT64.
[object Object](aclTensor *, compute output): aclTensor on the device. The shape and dtype are the same as those of[object Object]. The supports ND.- [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT32, DOUBLE, INT32, or INT64.
- [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 BFLOAT16, FLOAT16, FLOAT32, DOUBLE, INT32, or INT64.
[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 aclnnRoundGetWorkspaceSize.[object Object](aclOpExecutor*, input): operator executor, including the operator computation process.[object Object](aclrtStream, input): stream for executing the task.
Returns:
Parameters:
[object Object](aclTensor*, compute input): aclTensor on the device. The supports ND, and the shape does not support 9D or higher.- [object Object]Atlas training products[object Object]: The data type can be FLOAT16, FLOAT32, DOUBLE, INT32, or INT64.
- [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 BFLOAT16, FLOAT16, FLOAT32, DOUBLE, INT32, or INT64.
[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 aclnnInplaceRoundGetWorkspaceSize.[object Object](aclOpExecutor*, input): operator executor, containing the operator computation process.[object Object](aclrtStream, input): stream for executing the task.
Returns:
- Deterministic compute:
[object Object]defaults to a deterministic implementation.
- If the input value is in the range of [–0.5, –0], the output value is 0.
The following example is for reference only. For details, see .
[object Object]