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

• 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:

  $$x1 = [{x1_0}, {x1_1}, ... {x1_{n-1}}], x2 = [{x2_0}, {x2_1}, ... {x2_{n-1}}], x3 = [{x3_0}, {x3_1}, ... {x3_{n-1}}]\\ y = [{y_0}, {y_1}, ... {y_{n-1}}]\\$$ $${\rm y}_i = x1_{i} + {\rm scalar} × x2_{i} × x3_{i} (i=0,1,...n-1)$$

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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.

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• Parameters

  [object Object]

  • [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [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, 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.

• Returns

  aclnnStatus: status code. For details, see .

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

  [object Object]

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• Parameters

  [object Object]

• Returns

  aclnnStatus: status code. For details, see .

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

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