- Description: Returns the floor of each element in the input tensor and writes back the result to the input tensor.
- 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*, compute input): input parameter for floor computation, which is an aclTensor on the device. The data type must be the same as that of[object Object]. The can be ND. The shape must be the same as that of[object Object]. are supported, except in the cases of UINT64, UINT32, or UINT16. The shape cannot be greater than 8D.- [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, or UINT8.
- [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 DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, UINT8, or BFLOAT16.
[object Object](aclTensor*, compute output): output parameter for floor computation, which is an aclTensor on the device. The data type must be the same as that of[object Object]. The can be ND. The shape must be the same as that of[object Object]. are supported. The shape cannot be greater than 8D.- [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, or UINT8.
- [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 DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, UINT8, 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): 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 calling 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|compute output):[object Object]and[object Object]in the formula. Input to be used for floor computation, which is aclTensor on the device. are supported. The can be ND. The shape cannot be greater than 8D.- [object Object]Atlas training products[object Object]: The data type can be DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, or UINT8.
- [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 DOUBLE, FLOAT, FLOAT16, INT64, INT32, INT16, INT8, UINT64, UINT32, UINT16, UINT8, 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): 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 calling 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 a deterministic implementation.
The following example is for reference only. For details, see .
aclnnFloor sample code:
[object Object]
aclnnInplaceFloor sample code:
[object Object]