[object Object]

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

• Description: Performs backward pass of .

• Formula (using 5D input as an example):

  1. Multiply the input [object Object] of shape (N1, N2, N3, N4, N4) with the input [object Object] (forward output).$$out\_mul = gradOutput * gradSelf$$
  2. Generate a BOOL triangular matrix A of shape (N4, N4), where the upper triangle is [object Object], the lower triangle is [object Object], and the diagonal is [object Object].
  3. Fill the elements in $out\_mul$ with [object Object] at the positions where the corresponding elements in matrix A are [object Object].$$out\_mul_i= \begin{cases}out\_mul_i,\quad A_i==False \\0, \quad A_i==True \end{cases}$$
  4. Reverse the second-to-last dimension of [object Object] to generate [object Object].
  5. Perform a cumulative sum along the second-to-last dimension of [object Object]. For an element from a dimensional perspective, other dimension indices remain unchanged while the current index increases. $out\_cumsum\_{i}$ is the element at the corresponding position in the output tensor.$$out\_cumsum_{i} = out\_flip_{1} + out\_flip_{2} + out\_flip_{3} + ...... + out\_flip_{i}$$
  6. Reverse the second-to-last dimension of $out\_cumsum$ to generate [object Object].
  7. Generate a BOOL triangular matrix B of shape (N4, N4), where the upper triangle is [object Object], the lower triangle is [object Object], and the diagonal is [object Object].
  8. Fill the elements in $out\_flip2$ with [object Object] at the positions where the corresponding elements in matrix B are [object Object].$$out\_flip2_i= \begin{cases}out\_flip2_i,\quad B_i==False \\0, \quad B_i==True \end{cases}$$
  9. Return [object Object] as the sum of each row along the last dimension of [object Object].

[object Object]

Each operator has calls. First, [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [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]

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

[object Object]

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