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

• This API is used to calculate the negative log likelihood loss.

• Formula:

  If [object Object] is [object Object]:

  $$\ell(x, y) = L = \{l_1,\dots,l_N\}^\top, \quad l_n = - w_{y_n} x_{n,y_n}, \quad w_{c} = \text{weight}[c] \cdot \mathbb{1}\{c \not= \text{ignoreIndex}\},$$

  $x$ indicates self, $y$ indicates target, $w$ indicates weight, and $N$ indicates the batch size. If [object Object] is not [object Object]:

  $$\ell(x, y) = \begin{cases} \sum_{n=1}^N \frac{1}{\sum_{n=1}^N w_{y_n}} l_n, & \text{if reduction} = \text{`mean'}\\ \sum_{n=1}^N l_n, & \text{if reduction} = \text{`sum'} \end{cases}$$ $$totalWeight = \sum_{n=1}^N w_{y_n}$$

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Each operator has calls. First, aclnnNLLLossGetWorkspaceSize is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, aclnnNLLLoss 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 verification. The following errors may be thrown:

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

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

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• Deterministic compute:
  • aclnnNLLLoss defaults to a non-deterministic implementation. You can call aclrtCtxSetSysParamOpt to enable deterministic compute.

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