Searched refs:realMultiplier (Results 1 – 6 of 6) sorted by relevance
| /packages/modules/NeuralNetworks/common/operations/ |
| D | FullyConnected.cpp | 116 double realMultiplier = 0.0; in fullyConnectedQuant8() local
123 &realMultiplier)); in fullyConnectedQuant8()
125 NN_RET_CHECK(QuantizeMultiplier(realMultiplier, &outputMultiplier, &exponent)); in fullyConnectedQuant8()
154 double realMultiplier = 0.0; in fullyConnectedQuant8() local
161 &realMultiplier)); in fullyConnectedQuant8()
162 NN_RET_CHECK(QuantizeMultiplier(realMultiplier, &outputMultiplier, &outputShift)); in fullyConnectedQuant8()
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| D | GroupedConv2D.cpp | 117 double realMultiplier = 0.0; in groupedConvQuant8() local
121 &realMultiplier)); in groupedConvQuant8()
123 NN_RET_CHECK(QuantizeMultiplier(realMultiplier, &outputMultiplier, &exponent)); in groupedConvQuant8()
213 auto realMultiplier = std::vector<double>(outputDepth, .0f); in groupedConvQuant8PerChannel() local
224 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i])); in groupedConvQuant8PerChannel()
226 NN_RET_CHECK(QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &exponent)); in groupedConvQuant8PerChannel()
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| D | TransposeConv2D.cpp | 207 double realMultiplier = 0.0; in transposeConvNhwc() local
211 &realMultiplier)); in transposeConvNhwc()
213 NN_RET_CHECK(QuantizeMultiplier(realMultiplier, &outputMultiplier, &exponent)); in transposeConvNhwc()
342 std::vector<double> realMultiplier(outputDepth, 0.0); in transposeConvQuant8PerChannelNhwc() local
352 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i])); in transposeConvQuant8PerChannelNhwc()
354 NN_RET_CHECK(QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &exponent)); in transposeConvQuant8PerChannelNhwc()
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| D | Conv2D.cpp | 376 auto realMultiplier = std::vector<double>(outputDepth, .0f); in convQuant8PerChannelNhwc() local
386 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i])); in convQuant8PerChannelNhwc()
388 NN_RET_CHECK(QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &exponent)); in convQuant8PerChannelNhwc()
469 auto realMultiplier = std::vector<double>(outputDepth, .0f); in convQuant8PerChannelNhwc() local
479 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i])); in convQuant8PerChannelNhwc()
480 NN_RET_CHECK(QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &outputShift[i])); in convQuant8PerChannelNhwc()
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| D | DepthwiseConv2D.cpp | 303 auto realMultiplier = std::vector<double>(outputDepth, .0f); in depthwiseConvQuant8PerChannelNhwc() local
313 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i])); in depthwiseConvQuant8PerChannelNhwc()
315 NN_RET_CHECK(QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &exponent)); in depthwiseConvQuant8PerChannelNhwc()
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| D | RoiAlign.cpp | 243 float realMultiplier = inputShape.scale * wScale / outputShape.scale / numSamplingPoints; in roiAlignQuantNhwc() local
246 if (!QuantizeMultiplierSmallerThanOne(realMultiplier, &outputMultiplier, &outputShift)) { in roiAlignQuantNhwc()
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