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• Description: Computes the Logsoftmax value of the input tensor.

• Formula:

  $$logsoftmax\left ( {{x}_{i}} \right )=log\left ( {\frac {{e}^{{x}_{i}}} {\sum ^{n-1}_{j=0} {{e}^{{x}_{j}}}}} \right )$$

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

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• Parameters:

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  • [object Object]Atlas inference series products[object Object] and [object Object]Atlas training series products[object Object]: The data type can be FLOAT16, FLOAT32, or DOUBLE.

• Returns:

  aclnnStatus: status code. For details, see .

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

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• Parameters:

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• Returns:

  aclnnStatus: status code. For details, see .

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• Deterministic compute:
  • aclnnLogSoftmax defaults to a deterministic implementation.

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