[object Object]

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

• Description: Sets the elements of the input tensor [object Object] (last two dimensions) to [object Object] in the lower triangular part below the main diagonal. The diagonal parameter can be set to a positive or negative value. The default value is [object Object]. A positive value indicates diagonals above the main diagonal. A negative value indicates diagonals below the main diagonal.

• Formula: In the following formula, [object Object] indicates the sequence number of the element in the second-to-last dimension ([object Object] is the row index), [object Object] indicates the sequence number of the element in the last dimension ([object Object] is the column index), and [object Object] indicates diagonal. In the two-dimensional coordinate diagram corresponding to (i, j), i+d==j indicates that the element is on the diagonal.

  $$For the diagonal and its upper triangular part, that is, i + d < = j, the original value is retained: out_{i, j} = self_{i, j}\\. For the lower triangular part, that is, i + d > j, the value is set to zero (excluding the diagonal): out_{i, j} = 0.$$

• Example:

  $self = \begin{bmatrix} [9&6&3] \\ [1&2&3] \\ [3&4&1] \end{bmatrix}$,

  The result of triu(self, diagonal=0) is as follows:

  $\begin{bmatrix} [9&6&3] \\ [0&2&3] \\ [0&0&1] \end{bmatrix}$;

  Adjust the value of [object Object]. The result of triu(self, diagonal=1) is as follows:

  $\begin{bmatrix} [0&6&3] \\ [0&0&3] \\ [0&0&0] \end{bmatrix}$;

  Adjust the value of [object Object] to [object Object]. The result of triu(self, diagonal=-1) is as follows:

  $\begin{bmatrix} [9&6&3] \\ [1&2&3] \\ [0&4&1] \end{bmatrix}$.

[object Object]

• [object Object] and [object Object] implement the same function in different ways. Select a proper operator based on your requirements.
  • [object Object]: An output tensor object needs to be created to store the computation result.
  • [object Object]: No output tensor object needs to be created, and the computation result is stored in the memory of the input tensor.
• Each operator has calls. First, [object Object] or [object Object] is called to obtain input parameters and calculate the required workspace size based on the computation process. Then, [object Object] or [object Object] is called to perform computation.

[object Object]

• Parameters

  [object Object]

• Returns

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

  The first-phase API performs input parameter validation. The following errors may be returned:

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

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

[object Object]

• Parameters

  [object Object]

• Returns

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

  The first-phase API performs input parameter validation. The following errors may be returned:

  [object Object]

[object Object]

• Parameters

  [object Object]

• Returns

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

[object Object]

• Deterministic computation:
  • [object Object] defaults to a deterministic implementation.

[object Object]

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