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Searched refs:inputData_float32 (Results 1 – 6 of 6) sorted by relevance

/packages/modules/NeuralNetworks/common/operations/
DSoftmax.cpp104 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in softmaxFloat16() local
105 convertFloat16ToFloat32(inputData, &inputData_float32); in softmaxFloat16()
108 softmaxFloat32(inputData_float32.data(), inputShape, beta, axis, outputData_float32.data(), in softmaxFloat16()
DResizeImageOps.cpp142 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in resizeImageOpNhwc() local
143 convertFloat16ToFloat32(inputData, &inputData_float32); in resizeImageOpNhwc()
145 NN_RET_CHECK(resizeImageOpNhwc(opType, inputData_float32.data(), inputShape, alignCorners, in resizeImageOpNhwc()
DGroupedConv2D.cpp293 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in groupedConvFloat16() local
298 convertFloat16ToFloat32(inputData, &inputData_float32); in groupedConvFloat16()
302 groupedConvFloat32(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape, in groupedConvFloat16()
DPooling.cpp244 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in maxPoolNhwc() local
247 convertFloat16ToFloat32(inputData, &inputData_float32); in maxPoolNhwc()
248 maxPoolNhwc(inputData_float32.data(), inputShape, param, outputData_float32.data(), in maxPoolNhwc()
DTransposeConv2D.cpp283 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in transposeConvNhwc() local
288 convertFloat16ToFloat32(inputData, &inputData_float32); in transposeConvNhwc()
292 transposeConvNhwc(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape, in transposeConvNhwc()
DConv2D.cpp314 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in convNhwc() local
319 convertFloat16ToFloat32(inputData, &inputData_float32); in convNhwc()
323 convNhwc(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape, in convNhwc()