[object Object]

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

• Description: Performs element-wise multiplication between each tensor in the input tensor list and the given tensor scalar.

• Formula:

  $$x = [{x_0}, {x_1}, ... {x_{n-1}}]\\ y = [{y_0}, {y_1}, ... {y_{n-1}}]\\$$ $$y_i = x_i * scalar (i=0,1,...n-1)$$

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

[object Object]

• 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 must be the same as 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]

[object Object]

• Parameters

  [object Object]

• Returns

  aclnnStatus: status code. For details, see .

[object Object]

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

[object Object]

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