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• Description: Performs the three-dimensional inverse operation of . outputSize determines the size of outRef along the D, H, and W axes, fills elements of self in outRef based on indices, and sets other positions to 0.

• Formula:

  • When the input is four-dimensional, the dimensions are N, D, H, and W, respectively. N indicates the batch size, H indicates the feature map height, W indicates the feature map width, and D indicates the feature map depth.

    $$outRef[N][indices[N][i]] = self[N][i]$$

  • When the input is five-dimensional, the dimensions are N, C, D, H, and W, respectively. C indicates the number of feature map channels.

    $$outRef[N][C][indices[N][C][i]] = self[N][C][i]$$

    outRef, indices, and self are obtained by reshaping the last two axes into one axis, and then i∈[0,D*H *W).

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• Each operator has calls. First, aclnnMaxUnpool3dGetWorkspaceSize is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, aclnnMaxUnpool3d is called to perform computation.

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• 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:

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• Parameters:

  [object Object]

• Returns:

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

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• Deterministic compute:
  • aclnnMaxUnpool3d defaults to a deterministic implementation.

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