[object Object]

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

• Description: Performs backpropagation of .

• Formula:

  If [object Object] is [object Object]:

  $$MselossBackward(grad, x, y) = grad * (x - y) * 2 / x.numel()$$

  [object Object] indicates the number of elements in [object Object]. If [object Object] is not [object Object]:

  $$MselossBackward(grad, x, y) = grad * (x - y) * 2$$

[object Object]

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

[object Object]

• Parameters:

  [object Object]

• Returns:

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

  The first-phase API implements input parameter validation. The following error codes may be returned.

  [object Object]

[object Object]

• Parameters:

  [object Object]

• Returns:

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

[object Object]

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

[object Object]

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