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

/packages/modules/NeuralNetworks/common/cpu_operations/
DResizeImageOps.cpp135 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in resizeImageOpNhwc() local
136 convertFloat16ToFloat32(inputData, &inputData_float32); in resizeImageOpNhwc()
138 NN_RET_CHECK(resizeImageOpNhwc(opType, inputData_float32.data(), inputShape, alignCorners, in resizeImageOpNhwc()
DSoftmax.cpp101 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in softmaxFloat16() local
102 convertFloat16ToFloat32(inputData, &inputData_float32); in softmaxFloat16()
105 softmaxFloat32(inputData_float32.data(), inputShape, beta, axis, outputData_float32.data(), in softmaxFloat16()
DPooling.cpp246 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in maxPoolNhwc() local
249 convertFloat16ToFloat32(inputData, &inputData_float32); in maxPoolNhwc()
250 maxPoolNhwc(inputData_float32.data(), inputShape, param, outputData_float32.data(), in maxPoolNhwc()
DGroupedConv2D.cpp298 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in groupedConvFloat16() local
303 convertFloat16ToFloat32(inputData, &inputData_float32); in groupedConvFloat16()
307 groupedConvFloat32(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape, in groupedConvFloat16()
DTransposeConv2D.cpp279 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in transposeConvNhwc() local
284 convertFloat16ToFloat32(inputData, &inputData_float32); in transposeConvNhwc()
288 transposeConvNhwc(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape, in transposeConvNhwc()
DConv2D.cpp311 std::vector<float> inputData_float32(getNumberOfElements(inputShape)); in convNhwc() local
316 convertFloat16ToFloat32(inputData, &inputData_float32); in convNhwc()
320 convNhwc(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape, in convNhwc()