Searched refs:realMultiplier (Results 1 – 7 of 7) sorted by relevance
| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | FullyConnected.cpp | 112 double realMultiplier = 0.0; in fullyConnectedQuant8() local
119 &realMultiplier)); in fullyConnectedQuant8()
121 NN_RET_CHECK(QuantizeMultiplier(realMultiplier, &outputMultiplier, &exponent)); in fullyConnectedQuant8()
150 double realMultiplier = 0.0; in fullyConnectedQuant8() local
157 &realMultiplier)); in fullyConnectedQuant8()
158 NN_RET_CHECK(QuantizeMultiplier(realMultiplier, &outputMultiplier, &outputShift)); in fullyConnectedQuant8()
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| D | GroupedConv2D.cpp | 121 double realMultiplier = 0.0; in groupedConvQuant8() local
125 &realMultiplier)); in groupedConvQuant8()
127 NN_RET_CHECK(QuantizeMultiplier(realMultiplier, &outputMultiplier, &exponent)); in groupedConvQuant8()
218 auto realMultiplier = std::vector<double>(outputDepth, .0f); in groupedConvQuant8PerChannel() local
229 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i])); in groupedConvQuant8PerChannel()
231 NN_RET_CHECK(QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &exponent)); in groupedConvQuant8PerChannel()
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| D | TransposeConv2D.cpp | 203 double realMultiplier = 0.0; in transposeConvNhwc() local
207 &realMultiplier)); in transposeConvNhwc()
209 NN_RET_CHECK(QuantizeMultiplier(realMultiplier, &outputMultiplier, &exponent)); in transposeConvNhwc()
338 std::vector<double> realMultiplier(outputDepth, 0.0); in transposeConvQuant8PerChannelNhwc() local
348 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i])); in transposeConvQuant8PerChannelNhwc()
350 NN_RET_CHECK(QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &exponent)); in transposeConvQuant8PerChannelNhwc()
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| D | BatchMatmul.cpp | 174 double realMultiplier = 0.0; in batchMatMulQuantized() local
178 outputShape, &realMultiplier)); in batchMatMulQuantized()
179 NN_RET_CHECK(QuantizeMultiplier(realMultiplier, &outputMultiplier, &outputShift)); in batchMatMulQuantized()
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| D | Conv2D.cpp | 373 auto realMultiplier = std::vector<double>(outputDepth, .0f); in convQuant8PerChannelNhwc() local
383 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i])); in convQuant8PerChannelNhwc()
385 NN_RET_CHECK(QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &exponent)); in convQuant8PerChannelNhwc()
466 auto realMultiplier = std::vector<double>(outputDepth, .0f); in convQuant8PerChannelNhwc() local
476 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i])); in convQuant8PerChannelNhwc()
477 NN_RET_CHECK(QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &outputShift[i])); in convQuant8PerChannelNhwc()
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| D | DepthwiseConv2D.cpp | 299 auto realMultiplier = std::vector<double>(outputDepth, .0f); in depthwiseConvQuant8PerChannelNhwc() local
309 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i])); in depthwiseConvQuant8PerChannelNhwc()
311 NN_RET_CHECK(QuantizeMultiplier(realMultiplier[i], &outputMultiplier[i], &exponent)); in depthwiseConvQuant8PerChannelNhwc()
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| D | RoiAlign.cpp | 231 float realMultiplier = inputShape.scale * wScale / outputShape.scale / numSamplingPoints; in roiAlignQuantNhwc() local
234 if (!QuantizeMultiplierSmallerThanOne(realMultiplier, &outputMultiplier, &outputShift)) { in roiAlignQuantNhwc()
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