[object Object]

[object Object][object Object]undefined[object Object]

• Description: Performs element-wise multiplication on tensor lists x2 and x3, multiplies the result by the scalar scalar, and then adds the result element-wise to tensor list x1. Compared with , this API modifies the structure type of the input parameter scalar from aclTensor to aclScalar. Select the appropriate API based on actual requirements.
• Formula:$$x1 = [{x1_0}, {x1_1}, ... {x1_{n-1}}], x2 = [{x2_0}, {x2_1}, ... {x2_{n-1}}], x3 = [{x3_0}, {x3_1}, ... {x3_{n-1}}]\\ y = [{y_0}, {y_1}, ... {y_{n-1}}]\\$$ $${\rm y}_i = x1_{i} + {\rm scalar} × x2_{i} × x3_{i} (i=0,1,...n-1)$$

[object Object]

Each operator has calls. First, aclnnForeachAddcmulScalarV2GetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnForeachAddcmulScalarV2 is called to perform computation.

[object Object]

• Parameters

  [object Object]

  • [object Object]Atlas A3 training series products/Atlas A3 inference series products[object Object]:

    The data type of [object Object] depends on that of [object Object]:

    • When [object Object] is of the FLOAT32 or BFLOAT16 type, the data type must be FLOAT32 or DOUBLE.
    • When [object Object] is of the FLOAT16 type, the data type must be FLOAT16 or DOUBLE.
    • When [object Object] is of the INT32 type, the data type must be INT32 or INT64.

• Returns

  aclnnStatus: status code. For details, see .

  The first-phase API implements input parameter verification. The following errors may be thrown.

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

  aclnnStatus: status code. For details, see .

[object Object]

• Deterministic computation:
  • aclnnForeachAddcmulScalarV2 defaults to a deterministic implementation.

[object Object]

The following example is for reference only. For details, see .