Flat profile: Each sample counts as 0.01 seconds. % cumulative self self total time seconds seconds calls ms/call ms/call name 39.03 1.28 1.28 3500015 0.00 0.00 NnTrainer::updateWeights(std::vector >&, std::vector > const&, unsigned int const&, std::vector > const&) 15.09 1.78 0.50 362501771 0.00 0.00 Neuron::operator[](unsigned int const&) 11.59 2.16 0.38 NnTrainer::trainNetwork() 9.76 2.48 0.32 7000724 0.00 0.00 Neuron::updateState() 7.78 2.73 0.26 3500008 0.00 0.00 Neuron::updateWeights() 5.49 2.91 0.18 116400517 0.00 0.00 NeuralNetwork::operator[](unsigned long const&) 5.34 3.09 0.18 165500813 0.00 0.00 Neuron::out() const 1.37 3.13 0.05 Neuron::size() const 1.22 3.17 0.04 100011 0.00 0.00 NeuralNetwork::updateState() 1.22 3.21 0.04 NeuralNetwork::getOutputSize() const 0.61 3.23 0.02 200013 0.00 0.00 std::vector >::_M_default_append(unsigned long) 0.30 3.24 0.01 1000004 0.00 0.00 NnImageMap::NnImageMapData::out() const 0.30 3.25 0.01 100001 0.00 0.00 NeuralNetwork::setInput(std::vector >) 0.30 3.26 0.01 70 0.14 0.14 Neuron::Neuron(Neuron::Type) 0.30 3.27 0.01 StatusBar::operator[](std::string) 0.15 3.28 0.01 3700011 0.00 0.00 NeuralNetwork::layers() const 0.15 3.28 0.01 NeuralNetwork::size() const 0.00 3.28 0.00 1100004 0.00 0.00 NnImageMap::operator[](unsigned long) 0.00 3.28 0.00 100011 0.00 0.00 std::vector >::operator=(std::vector > const&) 0.00 3.28 0.00 100008 0.00 0.00 boost::any::holder::type() const 0.00 3.28 0.00 100001 0.00 0.00 NnImageMap::NnImageMapData::in() const 0.00 3.28 0.00 100001 0.00 0.00 NnImageMap::size() const 0.00 3.28 0.00 100000 0.00 0.00 NeuralNetwork::swapWeights() 0.00 3.28 0.00 306 0.00 0.00 StatusBar::refresh() 0.00 3.28 0.00 235 0.00 0.00 void std::vector >::_M_emplace_back_aux<>() 0.00 3.28 0.00 42 0.00 0.00 void std::vector >::emplace_back(std::string&&) 0.00 3.28 0.00 35 0.00 0.00 void std::vector >::_M_emplace_back_aux(double&&) 0.00 3.28 0.00 33 0.00 0.00 boost::any::holder > >::type() const 0.00 3.28 0.00 20 0.00 0.00 boost::gil::detail::png_reader::init() 0.00 3.28 0.00 20 0.00 0.00 boost::detail::sp_counted_base::destroy() 0.00 3.28 0.00 20 0.00 0.00 boost::detail::sp_counted_impl_pd<_IO_FILE*, int (*)(_IO_FILE*)>::dispose() 0.00 3.28 0.00 20 0.00 0.00 boost::detail::sp_counted_impl_pd<_IO_FILE*, int (*)(_IO_FILE*)>::~sp_counted_impl_pd() 0.00 3.28 0.00 18 0.00 0.14 void std::vector >::_M_emplace_back_aux(Neuron::Type&) 0.00 3.28 0.00 15 0.00 0.00 void std::vector >::_M_emplace_back_aux(std::string&&) 0.00 3.28 0.00 11 0.00 0.00 std::vector >* boost::any_cast > >(boost::any*) 0.00 3.28 0.00 11 0.00 0.00 char* std::string::_S_construct(char*, char*, std::allocator const&, std::forward_iterator_tag) 0.00 3.28 0.00 11 0.00 0.00 void std::vector >::_M_emplace_back_aux(std::string const&) 0.00 3.28 0.00 10 0.00 0.00 NnImageMap::NnImageMapData::NnImageMapData(std::string, std::vector >, std::vector >) 0.00 3.28 0.00 10 0.00 0.00 NnImageMap::PixelInserter boost::gil::for_each_pixel, boost::mpl::range_c > > const*> > >, NnImageMap::PixelInserter>(boost::gil::image_view, boost::mpl::range_c > > const*> > > const&, NnImageMap::PixelInserter) 0.00 3.28 0.00 10 0.00 0.00 void boost::gil::detail::png_reader_color_convert::apply, boost::mpl::range_c > >*> > > >(boost::gil::image_view, boost::mpl::range_c > >*> > > const&) 0.00 3.28 0.00 10 0.00 0.00 std::string* boost::any_cast(boost::any*) 0.00 3.28 0.00 10 0.00 0.00 NnImageMap::PixelInserter std::for_each, boost::mpl::range_c > > const*, NnImageMap::PixelInserter>(boost::gil::pixel, boost::mpl::range_c > > const*, boost::gil::pixel, boost::mpl::range_c > > const*, NnImageMap::PixelInserter) 0.00 3.28 0.00 7 0.00 0.00 void std::vector >::_M_emplace_back_aux(float&&) 0.00 3.28 0.00 6 0.00 0.00 boost::any::holder > >::type() const 0.00 3.28 0.00 5 0.00 0.00 void std::vector >::_M_emplace_back_aux >&, std::vector >&>(std::string&, std::vector >&, std::vector >&) 0.00 3.28 0.00 3 0.00 0.00 std::basic_string, std::allocator > const& boost::program_options::validators::get_single_string(std::vector, std::allocator >, std::allocator, std::allocator > > > const&, bool) 0.00 3.28 0.00 3 0.00 0.00 boost::any::holder::type() const 0.00 3.28 0.00 3 0.00 0.00 std::vector, std::allocator > >::~vector() 0.00 3.28 0.00 3 0.00 0.00 std::vector >::~vector() 0.00 3.28 0.00 2 0.00 0.00 boost::any::holder::~holder() 0.00 3.28 0.00 2 0.00 0.00 boost::any::holder::~holder() 0.00 3.28 0.00 2 0.00 0.00 std::vector >* boost::any_cast > >(boost::any*) 0.00 3.28 0.00 2 0.00 0.00 unsigned int* boost::any_cast(boost::any*) 0.00 3.28 0.00 1 0.00 0.00 _GLOBAL__sub_I__ZN10NnImageMap14NnImageMapDataC2Ev 0.00 3.28 0.00 1 0.00 0.00 _GLOBAL__sub_I__ZN13NeuralNetworkC2Ev 0.00 3.28 0.00 1 0.00 0.00 _GLOBAL__sub_I__ZN6NeuronC2Ev 0.00 3.28 0.00 1 0.00 0.00 _GLOBAL__sub_I__ZN9NnTrainerC2Ev 0.00 3.28 0.00 1 0.00 0.00 _GLOBAL__sub_I__ZN9StatusBarC2ENSt6chrono8durationIlSt5ratioILl1ELl1000EEEE 0.00 3.28 0.00 1 0.00 0.00 _GLOBAL__sub_I_main 0.00 3.28 0.00 1 0.00 0.00 NnImageMap::mapOutputs() 0.00 3.28 0.00 1 0.00 10.00 NeuralNetwork::createNeurons(std::vector >, Neuron::Type) 0.00 3.28 0.00 1 0.00 0.00 NeuralNetwork::connectNetwork(float) 0.00 3.28 0.00 1 0.00 0.00 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, unsigned int*, long) 0.00 3.28 0.00 1 0.00 0.00 boost::any::holder > >::~holder() 0.00 3.28 0.00 1 0.00 0.00 boost::any::holder > >::~holder() 0.00 3.28 0.00 1 0.00 0.00 bool boost::detail::parse_inf_nan(char const*, char const*, float&) 0.00 3.28 0.00 1 0.00 0.00 bool boost::detail::lcast_ret_float, float, char>(float&, char const*, char const*) 0.00 3.28 0.00 1 0.00 0.00 NeuralNetwork::getNeuronType() const 0.00 3.28 0.00 1 0.00 0.00 std::_Sp_counted_ptr_inplace (StatusBar*)> >, std::allocator (StatusBar*)> > >, (__gnu_cxx::_Lock_policy)2>::_M_get_deleter(std::type_info const&) 0.00 3.28 0.00 1 0.00 0.00 std::vector >::_M_default_append(unsigned long) 0.00 3.28 0.00 1 0.00 0.00 std::vector >, std::allocator > > >::_M_default_append(unsigned long) 0.00 3.28 0.00 1 0.00 0.00 void std::vector >::emplace_back(unsigned int&&) 0.00 3.28 0.00 1 0.00 0.00 void std::vector >::_M_emplace_back_aux(unsigned int&&) 0.00 3.28 0.00 1 0.00 0.00 std::_Rb_tree, std::less, std::allocator >::_M_erase(std::_Rb_tree_node*) 0.00 3.28 0.00 1 0.00 0.00 std::_Rb_tree, std::_Select1st >, std::less, std::allocator > >::_M_erase(std::_Rb_tree_node >*) 0.00 3.28 0.00 1 0.00 0.00 std::pair >, bool> std::_Rb_tree, std::_Select1st >, std::less, std::allocator > >::_M_insert_unique >(std::pair&&) 0.00 3.28 0.00 1 0.00 0.00 std::_Rb_tree, std::_Select1st >, std::less, std::allocator > >::_M_erase(std::_Rb_tree_node >*) % the percentage of the total running time of the time program used by this function. cumulative a running sum of the number of seconds accounted seconds for by this function and those listed above it. self the number of seconds accounted for by this seconds function alone. This is the major sort for this listing. calls the number of times this function was invoked, if this function is profiled, else blank. self the average number of milliseconds spent in this ms/call function per call, if this function is profiled, else blank. total the average number of milliseconds spent in this ms/call function and its descendents per call, if this function is profiled, else blank. name the name of the function. This is the minor sort for this listing. The index shows the location of the function in the gprof listing. If the index is in parenthesis it shows where it would appear in the gprof listing if it were to be printed. Copyright (C) 2012 Free Software Foundation, Inc. Copying and distribution of this file, with or without modification, are permitted in any medium without royalty provided the copyright notice and this notice are preserved. Call graph (explanation follows) granularity: each sample hit covers 2 byte(s) for 0.30% of 3.28 seconds index % time self children called name [1] 96.6 0.38 2.79 NnTrainer::trainNetwork() [1] 1.28 0.58 3500015/3500015 NnTrainer::updateWeights(std::vector >&, std::vector > const&, unsigned int const&, std::vector > const&) [2] 0.01 0.36 100001/100001 NeuralNetwork::setInput(std::vector >) [4] 0.00 0.26 100000/100000 NeuralNetwork::swapWeights() [8] 0.18 0.00 116400517/116400517 NeuralNetwork::operator[](unsigned long const&) [9] 0.06 0.00 53000241/165500813 Neuron::out() const [10] 0.03 0.00 25000116/362501771 Neuron::operator[](unsigned int const&) [3] 0.02 0.00 200002/200013 std::vector >::_M_default_append(unsigned long) [13] 0.01 0.00 1000004/1000004 NnImageMap::NnImageMapData::out() const [15] 0.01 0.00 3700011/3700011 NeuralNetwork::layers() const [19] 0.00 0.00 1100004/1100004 NnImageMap::operator[](unsigned long) [32] 0.00 0.00 100001/100001 NnImageMap::size() const [36] 0.00 0.00 100001/100001 NnImageMap::NnImageMapData::in() const [35] ----------------------------------------------- 1.28 0.58 3500015/3500015 NnTrainer::trainNetwork() [1] [2] 56.7 1.28 0.58 3500015 NnTrainer::updateWeights(std::vector >&, std::vector > const&, unsigned int const&, std::vector > const&) [2] 0.46 0.00 337501655/362501771 Neuron::operator[](unsigned int const&) [3] 0.12 0.00 112500572/165500813 Neuron::out() const [10] ----------------------------------------------- 0.03 0.00 25000116/362501771 NnTrainer::trainNetwork() [1] 0.46 0.00 337501655/362501771 NnTrainer::updateWeights(std::vector >&, std::vector > const&, unsigned int const&, std::vector > const&) [2] [3] 15.1 0.50 0.00 362501771 Neuron::operator[](unsigned int const&) [3] ----------------------------------------------- 0.01 0.36 100001/100001 NnTrainer::trainNetwork() [1] [4] 11.3 0.01 0.36 100001 NeuralNetwork::setInput(std::vector >) [4] 0.04 0.32 100011/100011 NeuralNetwork::updateState() [5] 0.00 0.00 100011/100011 std::vector >::operator=(std::vector > const&) [33] ----------------------------------------------- 0.04 0.32 100011/100011 NeuralNetwork::setInput(std::vector >) [4] [5] 11.0 0.04 0.32 100011 NeuralNetwork::updateState() [5] 0.32 0.00 7000724/7000724 Neuron::updateState() [6] ----------------------------------------------- 0.32 0.00 7000724/7000724 NeuralNetwork::updateState() [5] [6] 9.8 0.32 0.00 7000724 Neuron::updateState() [6] ----------------------------------------------- 0.26 0.00 3500008/3500008 NeuralNetwork::swapWeights() [8] [7] 7.8 0.26 0.00 3500008 Neuron::updateWeights() [7] ----------------------------------------------- 0.00 0.26 100000/100000 NnTrainer::trainNetwork() [1] [8] 7.8 0.00 0.26 100000 NeuralNetwork::swapWeights() [8] 0.26 0.00 3500008/3500008 Neuron::updateWeights() [7] ----------------------------------------------- 0.18 0.00 116400517/116400517 NnTrainer::trainNetwork() [1] [9] 5.5 0.18 0.00 116400517 NeuralNetwork::operator[](unsigned long const&) [9] ----------------------------------------------- 0.06 0.00 53000241/165500813 NnTrainer::trainNetwork() [1] 0.12 0.00 112500572/165500813 NnTrainer::updateWeights(std::vector >&, std::vector > const&, unsigned int const&, std::vector > const&) [2] [10] 5.3 0.18 0.00 165500813 Neuron::out() const [10] ----------------------------------------------- [11] 1.4 0.05 0.00 Neuron::size() const [11] ----------------------------------------------- [12] 1.2 0.04 0.00 NeuralNetwork::getOutputSize() const [12] ----------------------------------------------- 0.00 0.00 1/200013 NeuralNetwork::connectNetwork(float) [24] 0.00 0.00 10/200013 NnImageMap::mapOutputs() [22] 0.02 0.00 200002/200013 NnTrainer::trainNetwork() [1] [13] 0.6 0.02 0.00 200013 std::vector >::_M_default_append(unsigned long) [13] ----------------------------------------------- [14] 0.3 0.00 0.01 NeuralNetwork::NeuralNetwork(std::vector >) [14] 0.00 0.01 1/1 NeuralNetwork::createNeurons(std::vector >, Neuron::Type) [17] 0.00 0.00 1/1 NeuralNetwork::connectNetwork(float) [24] ----------------------------------------------- 0.01 0.00 1000004/1000004 NnTrainer::trainNetwork() [1] [15] 0.3 0.01 0.00 1000004 NnImageMap::NnImageMapData::out() const [15] ----------------------------------------------- 0.00 0.00 18/70 void std::vector >::_M_emplace_back_aux(Neuron::Type&) [21] 0.01 0.00 52/70 NeuralNetwork::createNeurons(std::vector >, Neuron::Type) [17] [16] 0.3 0.01 0.00 70 Neuron::Neuron(Neuron::Type) [16] ----------------------------------------------- 0.00 0.01 1/1 NeuralNetwork::NeuralNetwork(std::vector >) [14] [17] 0.3 0.00 0.01 1 NeuralNetwork::createNeurons(std::vector >, Neuron::Type) [17] 0.01 0.00 52/70 Neuron::Neuron(Neuron::Type) [16] 0.00 0.00 18/18 void std::vector >::_M_emplace_back_aux(Neuron::Type&) [21] 0.00 0.00 1/11 char* std::string::_S_construct(char*, char*, std::allocator const&, std::forward_iterator_tag) [48] 0.00 0.00 1/1 std::vector >, std::allocator > > >::_M_default_append(unsigned long) [80] ----------------------------------------------- [18] 0.3 0.01 0.00 StatusBar::operator[](std::string) [18] ----------------------------------------------- 0.01 0.00 3700011/3700011 NnTrainer::trainNetwork() [1] [19] 0.2 0.01 0.00 3700011 NeuralNetwork::layers() const [19] ----------------------------------------------- [20] 0.2 0.01 0.00 NeuralNetwork::size() const [20] ----------------------------------------------- 0.00 0.00 18/18 NeuralNetwork::createNeurons(std::vector >, Neuron::Type) [17] [21] 0.1 0.00 0.00 18 void std::vector >::_M_emplace_back_aux(Neuron::Type&) [21] 0.00 0.00 18/70 Neuron::Neuron(Neuron::Type) [16] ----------------------------------------------- 0.00 0.00 1/1 NnImageMap::NnImageMap(std::vector >) [23] [22] 0.0 0.00 0.00 1 NnImageMap::mapOutputs() [22] 0.00 0.00 10/200013 std::vector >::_M_default_append(unsigned long) [13] ----------------------------------------------- [23] 0.0 0.00 0.00 NnImageMap::NnImageMap(std::vector >) [23] 0.00 0.00 1/1 NnImageMap::mapOutputs() [22] 0.00 0.00 20/20 boost::gil::detail::png_reader::init() [42] 0.00 0.00 20/20 boost::detail::sp_counted_impl_pd<_IO_FILE*, int (*)(_IO_FILE*)>::dispose() [44] 0.00 0.00 20/20 boost::detail::sp_counted_impl_pd<_IO_FILE*, int (*)(_IO_FILE*)>::~sp_counted_impl_pd() [45] 0.00 0.00 20/20 boost::detail::sp_counted_base::destroy() [43] 0.00 0.00 10/10 void boost::gil::detail::png_reader_color_convert::apply, boost::mpl::range_c > >*> > > >(boost::gil::image_view, boost::mpl::range_c > >*> > > const&) [52] 0.00 0.00 10/10 NnImageMap::PixelInserter boost::gil::for_each_pixel, boost::mpl::range_c > > const*> > >, NnImageMap::PixelInserter>(boost::gil::image_view, boost::mpl::range_c > > const*> > > const&, NnImageMap::PixelInserter) [51] 0.00 0.00 5/10 NnImageMap::NnImageMapData::NnImageMapData(std::string, std::vector >, std::vector >) [50] 0.00 0.00 5/5 void std::vector >::_M_emplace_back_aux >&, std::vector >&>(std::string&, std::vector >&, std::vector >&) [57] ----------------------------------------------- 0.00 0.00 1/1 NeuralNetwork::NeuralNetwork(std::vector >) [14] [24] 0.0 0.00 0.00 1 NeuralNetwork::connectNetwork(float) [24] 0.00 0.00 1/200013 std::vector >::_M_default_append(unsigned long) [13] 0.00 0.00 235/235 void std::vector >::_M_emplace_back_aux<>() [38] 0.00 0.00 35/35 void std::vector >::_M_emplace_back_aux(double&&) [40] 0.00 0.00 1/1 std::vector >::_M_default_append(unsigned long) [79] ----------------------------------------------- 0.00 0.00 1100004/1100004 NnTrainer::trainNetwork() [1] [32] 0.0 0.00 0.00 1100004 NnImageMap::operator[](unsigned long) [32] ----------------------------------------------- 0.00 0.00 100011/100011 NeuralNetwork::setInput(std::vector >) [4] [33] 0.0 0.00 0.00 100011 std::vector >::operator=(std::vector > const&) [33] ----------------------------------------------- 0.00 0.00 2/100008 unsigned int* boost::any_cast(boost::any*) [65] 0.00 0.00 100006/100008 unsigned int const& boost::any_cast(boost::any&) [194] [34] 0.0 0.00 0.00 100008 boost::any::holder::type() const [34] ----------------------------------------------- 0.00 0.00 100001/100001 NnTrainer::trainNetwork() [1] [35] 0.0 0.00 0.00 100001 NnImageMap::NnImageMapData::in() const [35] ----------------------------------------------- 0.00 0.00 100001/100001 NnTrainer::trainNetwork() [1] [36] 0.0 0.00 0.00 100001 NnImageMap::size() const [36] ----------------------------------------------- 0.00 0.00 306/306 StatusBar::launchThread() [209] [37] 0.0 0.00 0.00 306 StatusBar::refresh() [37] ----------------------------------------------- 0.00 0.00 235/235 NeuralNetwork::connectNetwork(float) [24] [38] 0.0 0.00 0.00 235 void std::vector >::_M_emplace_back_aux<>() [38] ----------------------------------------------- 0.00 0.00 10/42 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [135] 0.00 0.00 32/42 boost::program_options::basic_command_line_parser::basic_command_line_parser(int, char const* const*) [129] [39] 0.0 0.00 0.00 42 void std::vector >::emplace_back(std::string&&) [39] ----------------------------------------------- 0.00 0.00 35/35 NeuralNetwork::connectNetwork(float) [24] [40] 0.0 0.00 0.00 35 void std::vector >::_M_emplace_back_aux(double&&) [40] ----------------------------------------------- 0.00 0.00 11/33 std::vector >* boost::any_cast > >(boost::any*) [47] 0.00 0.00 22/33 std::vector > const& boost::any_cast > const&>(boost::any&) [191] [41] 0.0 0.00 0.00 33 boost::any::holder > >::type() const [41] ----------------------------------------------- 0.00 0.00 20/20 NnImageMap::NnImageMap(std::vector >) [23] [42] 0.0 0.00 0.00 20 boost::gil::detail::png_reader::init() [42] ----------------------------------------------- 0.00 0.00 20/20 NnImageMap::NnImageMap(std::vector >) [23] [43] 0.0 0.00 0.00 20 boost::detail::sp_counted_base::destroy() [43] ----------------------------------------------- 0.00 0.00 20/20 NnImageMap::NnImageMap(std::vector >) [23] [44] 0.0 0.00 0.00 20 boost::detail::sp_counted_impl_pd<_IO_FILE*, int (*)(_IO_FILE*)>::dispose() [44] ----------------------------------------------- 0.00 0.00 20/20 NnImageMap::NnImageMap(std::vector >) [23] [45] 0.0 0.00 0.00 20 boost::detail::sp_counted_impl_pd<_IO_FILE*, int (*)(_IO_FILE*)>::~sp_counted_impl_pd() [45] ----------------------------------------------- 0.00 0.00 5/15 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [135] 0.00 0.00 10/15 boost::program_options::basic_command_line_parser::basic_command_line_parser(int, char const* const*) [129] [46] 0.0 0.00 0.00 15 void std::vector >::_M_emplace_back_aux(std::string&&) [46] ----------------------------------------------- 0.00 0.00 1/11 boost::program_options::typed_value >, char>::notify(boost::any const&) const [244] 0.00 0.00 10/11 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [135] [47] 0.0 0.00 0.00 11 std::vector >* boost::any_cast > >(boost::any*) [47] 0.00 0.00 11/33 boost::any::holder > >::type() const [41] ----------------------------------------------- 0.00 0.00 1/11 NeuralNetwork::createNeurons(std::vector >, Neuron::Type) [17] 0.00 0.00 10/11 NnImageMap::NnImageMapData::getOutStr() const [218] [48] 0.0 0.00 0.00 11 char* std::string::_S_construct(char*, char*, std::allocator const&, std::forward_iterator_tag) [48] ----------------------------------------------- 0.00 0.00 1/11 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [137] 0.00 0.00 10/11 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [135] [49] 0.0 0.00 0.00 11 void std::vector >::_M_emplace_back_aux(std::string const&) [49] ----------------------------------------------- 0.00 0.00 5/10 NnImageMap::NnImageMap(std::vector >) [23] 0.00 0.00 5/10 void std::vector >::_M_emplace_back_aux >&, std::vector >&>(std::string&, std::vector >&, std::vector >&) [57] [50] 0.0 0.00 0.00 10 NnImageMap::NnImageMapData::NnImageMapData(std::string, std::vector >, std::vector >) [50] ----------------------------------------------- 0.00 0.00 10/10 NnImageMap::NnImageMap(std::vector >) [23] [51] 0.0 0.00 0.00 10 NnImageMap::PixelInserter boost::gil::for_each_pixel, boost::mpl::range_c > > const*> > >, NnImageMap::PixelInserter>(boost::gil::image_view, boost::mpl::range_c > > const*> > > const&, NnImageMap::PixelInserter) [51] 0.00 0.00 10/10 NnImageMap::PixelInserter std::for_each, boost::mpl::range_c > > const*, NnImageMap::PixelInserter>(boost::gil::pixel, boost::mpl::range_c > > const*, boost::gil::pixel, boost::mpl::range_c > > const*, NnImageMap::PixelInserter) [54] ----------------------------------------------- 0.00 0.00 10/10 NnImageMap::NnImageMap(std::vector >) [23] [52] 0.0 0.00 0.00 10 void boost::gil::detail::png_reader_color_convert::apply, boost::mpl::range_c > >*> > > >(boost::gil::image_view, boost::mpl::range_c > >*> > > const&) [52] ----------------------------------------------- 0.00 0.00 10/10 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [135] [53] 0.0 0.00 0.00 10 std::string* boost::any_cast(boost::any*) [53] ----------------------------------------------- 0.00 0.00 10/10 NnImageMap::PixelInserter boost::gil::for_each_pixel, boost::mpl::range_c > > const*> > >, NnImageMap::PixelInserter>(boost::gil::image_view, boost::mpl::range_c > > const*> > > const&, NnImageMap::PixelInserter) [51] [54] 0.0 0.00 0.00 10 NnImageMap::PixelInserter std::for_each, boost::mpl::range_c > > const*, NnImageMap::PixelInserter>(boost::gil::pixel, boost::mpl::range_c > > const*, boost::gil::pixel, boost::mpl::range_c > > const*, NnImageMap::PixelInserter) [54] 0.00 0.00 7/7 void std::vector >::_M_emplace_back_aux(float&&) [55] ----------------------------------------------- 0.00 0.00 7/7 NnImageMap::PixelInserter std::for_each, boost::mpl::range_c > > const*, NnImageMap::PixelInserter>(boost::gil::pixel, boost::mpl::range_c > > const*, boost::gil::pixel, boost::mpl::range_c > > const*, NnImageMap::PixelInserter) [54] [55] 0.0 0.00 0.00 7 void std::vector >::_M_emplace_back_aux(float&&) [55] ----------------------------------------------- 0.00 0.00 2/6 std::vector >* boost::any_cast > >(boost::any*) [64] 0.00 0.00 4/6 std::vector > const& boost::any_cast > const&>(boost::any&) [192] [56] 0.0 0.00 0.00 6 boost::any::holder > >::type() const [56] ----------------------------------------------- 0.00 0.00 5/5 NnImageMap::NnImageMap(std::vector >) [23] [57] 0.0 0.00 0.00 5 void std::vector >::_M_emplace_back_aux >&, std::vector >&>(std::string&, std::vector >&, std::vector >&) [57] 0.00 0.00 5/10 NnImageMap::NnImageMapData::NnImageMapData(std::string, std::vector >, std::vector >) [50] ----------------------------------------------- 0.00 0.00 1/3 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, float*, long) [136] 0.00 0.00 2/3 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, unsigned int*, long) [72] [58] 0.0 0.00 0.00 3 std::basic_string, std::allocator > const& boost::program_options::validators::get_single_string(std::vector, std::allocator >, std::allocator, std::allocator > > > const&, bool) [58] ----------------------------------------------- 0.00 0.00 1/3 boost::program_options::typed_value::notify(boost::any const&) const [262] 0.00 0.00 2/3 float const& boost::any_cast(boost::any&) [193] [59] 0.0 0.00 0.00 3 boost::any::holder::type() const [59] ----------------------------------------------- 0.00 0.00 3/3 boost::program_options::basic_command_line_parser::run() [128] [60] 0.0 0.00 0.00 3 std::vector, std::allocator > >::~vector() [60] ----------------------------------------------- 0.00 0.00 1/3 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [135] 0.00 0.00 2/3 boost::program_options::basic_command_line_parser::basic_command_line_parser(int, char const* const*) [129] [61] 0.0 0.00 0.00 3 std::vector >::~vector() [61] ----------------------------------------------- 0.00 0.00 1/2 boost::program_options::typed_value::~typed_value() [105] 0.00 0.00 1/2 std::_Rb_tree, std::_Select1st >, std::less, std::allocator > >::_M_erase(std::_Rb_tree_node >*) [84] [62] 0.0 0.00 0.00 2 boost::any::holder::~holder() [62] ----------------------------------------------- 0.00 0.00 1/2 std::_Rb_tree, std::_Select1st >, std::less, std::allocator > >::_M_erase(std::_Rb_tree_node >*) [84] 0.00 0.00 1/2 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [137] [63] 0.0 0.00 0.00 2 boost::any::holder::~holder() [63] ----------------------------------------------- 0.00 0.00 1/2 boost::program_options::typed_value >, char>::notify(boost::any const&) const [253] 0.00 0.00 1/2 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [137] [64] 0.0 0.00 0.00 2 std::vector >* boost::any_cast > >(boost::any*) [64] 0.00 0.00 2/6 boost::any::holder > >::type() const [56] ----------------------------------------------- 0.00 0.00 1/2 boost::program_options::typed_value::notify(boost::any const&) const [271] 0.00 0.00 1/2 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [137] [65] 0.0 0.00 0.00 2 unsigned int* boost::any_cast(boost::any*) [65] 0.00 0.00 2/100008 boost::any::holder::type() const [34] ----------------------------------------------- 0.00 0.00 1/1 __libc_csu_init [389] [66] 0.0 0.00 0.00 1 _GLOBAL__sub_I__ZN10NnImageMap14NnImageMapDataC2Ev [66] ----------------------------------------------- 0.00 0.00 1/1 __libc_csu_init [389] [67] 0.0 0.00 0.00 1 _GLOBAL__sub_I__ZN13NeuralNetworkC2Ev [67] ----------------------------------------------- 0.00 0.00 1/1 __libc_csu_init [389] [68] 0.0 0.00 0.00 1 _GLOBAL__sub_I__ZN6NeuronC2Ev [68] ----------------------------------------------- 0.00 0.00 1/1 __libc_csu_init [389] [69] 0.0 0.00 0.00 1 _GLOBAL__sub_I__ZN9NnTrainerC2Ev [69] ----------------------------------------------- 0.00 0.00 1/1 __libc_csu_init [389] [70] 0.0 0.00 0.00 1 _GLOBAL__sub_I__ZN9StatusBarC2ENSt6chrono8durationIlSt5ratioILl1ELl1000EEEE [70] ----------------------------------------------- 0.00 0.00 1/1 __libc_csu_init [389] [71] 0.0 0.00 0.00 1 _GLOBAL__sub_I_main [71] ----------------------------------------------- 0.00 0.00 1/1 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, std::vector >*, int) [137] [72] 0.0 0.00 0.00 1 void boost::program_options::validate(boost::any&, std::vector, std::allocator >, std::allocator, std::allocator > > > const&, unsigned int*, long) [72] 0.00 0.00 2/3 std::basic_string, std::allocator > const& boost::program_options::validators::get_single_string(std::vector, std::allocator >, std::allocator, std::allocator > > > const&, bool) [58] ----------------------------------------------- 0.00 0.00 1/1 std::_Rb_tree, std::_Select1st >, std::less, std::allocator > >::_M_erase(std::_Rb_tree_node >*) [84] [73] 0.0 0.00 0.00 1 boost::any::holder > >::~holder() [73] ----------------------------------------------- 0.00 0.00 1/1 std::_Rb_tree, std::_Select1st >, std::less, std::allocator > >::_M_erase(std::_Rb_tree_node >*) [84] [74] 0.0 0.00 0.00 1 boost::any::holder > >::~holder() [74] ----------------------------------------------- 0.00 0.00 1/1 bool boost::detail::lcast_ret_float