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• Description: Performs element-wise LogSigmoid operation on the input tensor.

• Formula:

  $$out = LogSigmoid(x) = \log(\frac{1}{1+\exp(-x)})$$

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

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• Parameters:

  [object Object]
  • [object Object]Atlas training products[object Object]: The data type can be FLOAT or FLOAT16.

• Returns:

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

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

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• Parameters:

  [object Object]

• Returns:

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

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

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