Description: Performs element-wise multiplication on tensor lists x2 and x3, multiplies the result by the tensor scalar, and then adds the result element-wise to tensor list x1.
Formula:
Each operator has calls. First, aclnnForeachAddcmulScalarGetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnForeachAddcmulScalar is called to perform computation.
Parameters
[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 of
[object Object]depends on that of[object Object]:- When
[object Object]is of the FLOAT32, FLOAT16, or INT32 type, the data type remains consistent with that of[object Object]. - When
[object Object]is of the BFLOAT16 type, the data type must be FLOAT32.
- When
Ascend 950PR/Ascend 950DT:
- The maximum number of tensors supported by the
[object Object],[object Object],[object Object]and[object Object]parameters is 50. - The data type of
[object Object]depends on that of[object Object]:- When the data type of
[object Object]is FLOAT32 or INT32, the data type is the same as that of[object Object]. - When
[object Object]is of the BFLOAT16 type, the data type must be FLOAT32. - When the data type of
[object Object]is FLOAT16, the data type can be FLOAT16 or FLOAT32.
- When the data type of
- The maximum number of tensors supported by the
Return Value
[object Object]: status code. For details, see .The first-phase API implements input parameter verification. The following errors may be thrown.
[object Object]
- Deterministic computation:
- aclnnForeachAddcmulScalar defaults to a deterministic implementation.
The following example is for reference only. For details, see .