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• Description: Performs matrix multiplication with float16 input tensor and int8 output tensor.

• Formula:

  $$out = Quant(x1@x2 + bias)$$

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

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• Parameters:

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• Returns:

  aclnnStatus: status code. For details, see .

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

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• Parameters:

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• Returns:

  aclnnStatus: status code. For details, see .

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• Determinism:
  • [object Object]Atlas training series products[object Object] and [object Object]Atlas inference series products[object Object]: aclnnBatchMatmulQuant defaults to a deterministic implementation.

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