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

• Description: Removes duplicates from the input tensor [object Object] along a given dim.
• Example: Assume that [object Object] is$$\begin{bmatrix} \begin{bmatrix} 2 & 1 & 2 \end{bmatrix}\\ \begin{bmatrix} 1 & 2 & 1 \end{bmatrix}\\ \begin{bmatrix} 2 & 1 & 2 \end{bmatrix}\\ \end{bmatrix}$$ and [object Object] is 0, then [object Object] is:$$\begin{bmatrix} \begin{bmatrix} 2 & 1 & 2 \end{bmatrix}\\ \begin{bmatrix} 1 & 2 & 1 \end{bmatrix}\\ \end{bmatrix}$$ [object Object] is:$$\begin{bmatrix} 0 & 1 & 0 \end{bmatrix}$$ [object Object] is:$$\begin{bmatrix} 1 & 2 \end{bmatrix}$$

[object Object]

Each operator has calls. First, aclnnUniqueDimGetWorkspaceSize is called to obtain the input parameters and to compute the workspace size required for computation. Then, aclnnUniqueDim is called to perform computation.

[object Object]

• Parameters

  [object Object]

• Returns

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

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

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

[object Object]

• Deterministic compute:
  • aclnnUniqueDim defaults to a deterministic implementation.
• Performance:
  • On A2, A3, and training products, when the dimension value of self on dim exceeds 200 million, the performance is poor or even the running times out.

[object Object]

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