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Note: This API will be deprecated in later versions. Use the latest aclnnWeightQuantBatchMatmulV3 API instead.

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• Function: Fake-quantization is used to quantize mat2 in self * mat2 (matmul/batchmatmul).
• Formula:$$result = self@mat2+bias$$

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• Each operator has calls. First, aclnnWeightQuantBatchMatmulGetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnWeightQuantBatchMatmul is called to perform computation.

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• Parameters

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• Returns:

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

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

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• Parameters

  [object Object]

• Returns:

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

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• 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 aclnnWeightQuantBatchMatmul function is implemented in a deterministic manner by default.

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