[object Object]

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

• Description: Performs backpropagation of .
• Formula:

$$out = gradOutput - sum(gradOutput) \cdot exp(output)$$ [object Object]

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

[object Object]

• Parameters:

  [object Object]
  • [object Object]Atlas inference series products[object Object] and [object Object]Atlas training series products[object Object]: The data type can be FLOAT16 or FLOAT32. No extra space is required for FLOAT32. Other data types are supported through automatic cast, but extra space is required.

• Returns:

  aclnnStatus: 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:

  aclnnStatus: status code. For details, see .

[object Object]

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

[object Object]

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