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• Description: Performs dequantization on input x, converting INT32 data to FLOAT16 or BFLOAT16 for output.
• Formula:$$y = A \times \text{weight\_scale} \times \text{activate\_scale}$$ $$y = (A + \text{bias}) \times \text{weight\_scale} \times \text{activate\_scale}$$ $$y = A \times \text{weight\_scale} \times \text{activate\_scale} + \text{bias}$$

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

  • aclnnDequantBias defaults to a deterministic implementation.

• The N and M dimensions in the input and output shapes must be positive integers, and the value of M must be less than or equal to 25,000.

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