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• Description: Collects the mean value and variance of data on all devices and updates the global mean value and variance.

• Formula:

  $$batchMean = \frac{\sum^N_{i=0}{totalSum[i]}}{\sum^N_{i=0}{sampleCount[i]}}$$ $$batchVar = \frac{\sum^N_{i=0}{totalSquareSum[i]}}{\sum^N_{i=0}{sampleCount[i]}} - batchMean^2$$ $$batchInvstd = \frac{1}{\sqrt{batchVar + ε}}$$ $$runningMean = runningMean*(1-momentum) + momentum*batchMean$$ $$runningVar = runningVar*(1-momentum) + momentum*(batchVar* \frac{\sum^N_{i=0} {sampleCount[i]}}{\sum^N_{i=0}{sampleCount[i]}-1})$$

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Each operator has calls. First, aclnnSyncBatchNormGatherStatsGetWorkspaceSize is called to obtain the input parameters and to compute the workspace size required for computation. Then, aclnnSyncBatchNormGatherStats is called to perform computation.

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• Parameters

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  • [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 data type of [object Object], [object Object], [object Object], [object Object], [object Object] and [object Object] cannot be BFLOAT16.

• 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 compute:
  • aclnnSyncBatchNormGatherStats defaults to a deterministic implementation.

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