[object Object]

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

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

• Formula:

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

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

[object Object]

• Parameters:

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

• 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 compute:
  • aclnnLogSigmoidForward defaults to a deterministic implementation.

[object Object]

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