Searched refs:aFlatIndex (Results 1 – 5 of 5) sorted by relevance
/aosp12/packages/modules/NeuralNetworks/common/operations/ |
H A D | MaximumMinimum.cpp | 46 uint32_t aFlatIndex; in evalGeneric() local 47 NN_CHECK(aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex)); in evalGeneric() 51 outputData[outputFlatIndex] = isMinimum ? std::min(aData[aFlatIndex], bData[bFlatIndex]) in evalGeneric() 52 : std::max(aData[aFlatIndex], bData[bFlatIndex]); in evalGeneric() 72 uint32_t aFlatIndex; in evalQuant8() local 73 NN_CHECK(aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex)); in evalQuant8() 77 T aValue = requantize<T>(aData[aFlatIndex], aShape, outputShape); in evalQuant8()
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H A D | LogicalAndOr.cpp | 49 uint32_t aFlatIndex; in compute() local 50 NN_RET_CHECK(aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex)); in compute() 54 outputData[outputFlatIndex] = func(aData[aFlatIndex], bData[bFlatIndex]); in compute()
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H A D | PRelu.cpp | 57 uint32_t aFlatIndex; in eval() local 58 NN_RET_CHECK(aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex)); in eval() 62 outputData[outputFlatIndex] = func(aData[aFlatIndex], bData[bFlatIndex]); in eval()
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H A D | Comparisons.cpp | 51 uint32_t aFlatIndex; in compute() local 52 NN_RET_CHECK(aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex)); in compute() 58 const float realA = (aData[aFlatIndex] - aShape.offset) * aShape.scale; in compute() 62 outputData[outputFlatIndex] = func(aData[aFlatIndex], bData[bFlatIndex]); in compute()
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H A D | Broadcast.cpp | 223 uint32_t aFlatIndex; in executeInt32() local 224 NN_RET_CHECK(aShapeIndexed.broadcastedIndexToFlatIndex(curIndex, &aFlatIndex)); in executeInt32() 228 outputData[outputFlatIndex] = func(aData[aFlatIndex], bData[bFlatIndex]); in executeInt32()
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