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Searched refs:gammaVector (Results 1 – 4 of 4) sorted by relevance

/external/armnn/src/armnn/optimizations/
DFuseBatchNorm.hpp82 std::vector<T> gammaVector (gammaBuffer, gammaBuffer + gammaTensor.GetNumElements()); in Run() local
93 … T mult = gammaVector[cOut] / static_cast<T>(sqrtf(varianceVector[cOut] + epsilon)); in Run()
148 … fusedBiasVector[cOut] = ((gammaVector[cOut] * (biasVector[cOut] - meanVector[cOut])) / in Run()
159 … fusedBiasVector[cOut] = ((gammaVector[cOut] * (biasVector[cOut] - meanVector[cOut])) / in Run()
/external/armnn/src/armnn/test/optimizations/
DFuseBatchNormTests.cpp149 std::vector<T> gammaVector = GetVector<T>(outputDimensionSizes[3], 0.5f, 0.1f); in CreateNetwork() local
154 ConstTensor gamma (TensorInfo(1, outputChannelSize, ArmnnType, 0.0f, 0, true), gammaVector); in CreateNetwork()
DFuseActivationTests.cpp216 std::vector<T> gammaVector = GetVector<T>(GetOutputShape()[3], 0.5f, 0.1f); in AddReceiverLayer() local
222 ConstTensor gamma(TensorInfo(1, outputChannelSize, ArmnnType, 0.0f, 0, true), gammaVector); in AddReceiverLayer()
/external/armnn/src/armnn/test/
DOptimizerTests.cpp875 std::vector<float> gammaVector = { 0.5f }; variable
879 …ConstTensor gamma(TensorInfo(1, outputChannelSize, DataType::Float32, 0.0f, 0, true), gammaVector);