[object Object]

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

• Function: Computes the outer product of one-dimensional vectors vec1 and vec2 to obtain a two-dimensional matrix, multiplies the outer product result matrix by a coefficient, and then adds the result to the product of the coefficient and itself.

• Formula:

  $$\text{out} = \beta\ \text{self} + \alpha\ (\text{vec1} \otimes\text{vec2})$$

[object Object]

• [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 written in place to the input tensor's memory.
• Each operator is divided into two parts (../common/Two-Part Interface.md). You must call the aclnnAddrGetWorkspaceSize or aclnnInplaceAddrGetWorkspaceSize API to obtain the input parameters, calculate the required workspace size based on the workflow, and then call the aclnnAddr or aclnnInplaceAddr API to perform the computation.

[object Object]

• Parameters:

  [object Object]
  • [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.

• Returns:

  [object Object]: 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:

  [object Object]: status code. For details, see .

[object Object]

• Parameters:

  [object Object]
  • [object Object]Atlas training products[object Object]: The data type cannot be BFLOAT16.

• Returns:

  [object Object]: 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:

  [object Object]: status code. For details, see .

[object Object]

• Deterministic computation:
  • [object Object] and [object Object] each default to a deterministic implementation.

[object Object]

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