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• API function:
  • When fake_quant_enabled is greater than or equal to 1: Performs fake quantization on the input self with scale and zero_point, limits the value range of the fake-quantized output by quant_min and quant_max, and finally returns the output out as well as the corresponding position mask mask.
  • When fake_quant_enabled is less than 1: Returns out as a clone of self, and mask with all values set to True.
• Formula: When fake_quant_enabled is greater than or equal to 1, computes the temporary variable qval, then calculates out and mask.$$qval = Round(std::nearby\_int(self / scale) + zero\_point)$$ $$out = (Min(quant\_max, Max(quant\_min, qval)) - zero\_point) * scale$$ $$mask = (qval >= quant\_min) \& (qval <= quant\_max)$$

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Each operator has calls. First, aclnnFakeQuantPerTensorAffineCachemaskGetWorkspaceSize is called to obtain the input parameters and compute the required workspace size based on the process. Then, aclnnFakeQuantPerTensorAffineCachemask 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

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• Returns

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

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• Deterministic computation:
  • aclnnFakeQuantPerTensorAffineCachemask defaults to a deterministic implementation.

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