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

• Description:

  Performs matrix multiplication with 4:2 sparse quantization.

• Formula:

  $$out = x@sparseWeight * sparseWeightScale * xScale + bias$$

[object Object]

Each operator has calls. First, [object Object] is called to obtain the input parameters and compute the required workspace size based on the 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 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]

1. The value of k in the last dimension of x, that is, the shape description, cannot exceed 65535.
2. Currently, only the scenario where both sparseWeightScale and xScale are not nullptr is supported.

[object Object]

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

• [object Object]Atlas A2 training products/Atlas A2 inference products[object Object] and [object Object]Atlas A3 training products/Atlas A3 inference products[object Object]:

  [object Object]