[object Object]

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

• Description: Performs target backpropagation on the result of the API.

• Formula:

$$gradTarget = \begin{cases} gradOutput * (log(target) - self + 1), ~~~~~~~~~~~~~~~~~~~~~~~~~logTarget=False \\ gradOutput * exp(target) * (target - self +1), ~~~~~~~~~~logTarget=True \end{cases}$$ [object Object]

Each operator has calls. First, [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] is called to perform computation.

[object Object]

• Parameters

  [object Object]

• Returns

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

  The first-phase API implements input parameter validation. The following error codes may be returned.

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

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

[object Object]

• Deterministic computing:
  • The default deterministic implementation of aclnnKlDivTargetBackward is used.

[object Object]

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