[object Object]

Note: This API will be deprecated in later versions. Use the latest aclnnQuantMatmulV5 API instead.

[object Object][object Object]undefined
[object Object]
  • API function: performs quantized matrix multiplication. The minimum supported dimension is 2 and the maximum supported input dimension is 3. Similar APIs include (only two-dimensional tensors can be used as the input of matrix multiplication) and (only three-dimensional matrix multiplication is supported, whose first dimension is the batch dimension).

  • Formula:

out=(x1@x2+bias)deqScaleout = (x1@x2 + bias) * deqScale [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]
[object Object]
[object Object]
  • Parameters

    [object Object]
  • Returns:

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

    The first-phase API implements input parameter verification. The following errors may be thrown:

    [object Object]
[object Object]
  • Parameters:

    [object Object]
  • Returns:

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

[object Object]
  • Deterministic description:
    • [object Object]Atlas A3 training products/Atlas A3 inference products[object Object] and [object Object]Atlas A2 training products/Atlas A2 inference products[object Object]: The aclnnQuantMatmul is implemented in deterministic mode by default.

To migrate this API to the aclnnQuantMatmulV4 API, perform the following steps:

  • x1, x2, and bias can be directly converted to x1, x2, and bias in aclnnQuantMatmulV4.
  • If the input deqScale is of the FLOAT type, construct the FLOAT number into a FLOAT aclTensor with the shape of (1,) (for details, see CreateAclTensor in ). Then, use aclnnTransQuantParamV2 to convert the aclTensor into a uint64_t aclTensor with the shape of (1,) (for details, see ). Record it as scale, which corresponds to scale in aclnnQuantMatmulV4.
  • Set the optional input offset or pertokenScaleOptional of aclnnQuantMatmulV4 to nullptr, and set transposeX1 and transposeX2 to false.
  • Set the API parameters to [object Object].
[object Object]

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

[object Object]