* [#350515] [test-only] FAILED Cardinal.git=24.05-alt2.git77b5becf
@ 2024-06-07 7:01 Girar awaiter (iv)
0 siblings, 0 replies; only message in thread
From: Girar awaiter (iv) @ 2024-06-07 7:01 UTC (permalink / raw)
To: Ivan Melnikov; +Cc: sisyphus-incominger, girar-builder-sisyphus
https://git.altlinux.org/tasks/350515/logs/events.1.1.log
subtask name aarch64 i586 ppc64le x86_64
#100 Cardinal failed - - failed
2024-Jun-07 06:55:59 :: test-only task #350515 for sisyphus started by iv:
#100 build 24.05-alt2.git77b5becf from /people/iv/packages/Cardinal.git fetched at 2024-Jun-07 06:55:54
2024-Jun-07 06:56:00 :: [ppc64le] #100 Cardinal.git 24.05-alt2.git77b5becf: build start
2024-Jun-07 06:56:00 :: [aarch64] #100 Cardinal.git 24.05-alt2.git77b5becf: build start
2024-Jun-07 06:56:00 :: [x86_64] #100 Cardinal.git 24.05-alt2.git77b5becf: build start
2024-Jun-07 06:56:00 :: [i586] #100 Cardinal.git 24.05-alt2.git77b5becf: build start
2024-Jun-07 06:56:16 :: [i586] #100 Cardinal.git 24.05-alt2.git77b5becf: build SKIPPED
2024-Jun-07 06:56:25 :: [ppc64le] #100 Cardinal.git 24.05-alt2.git77b5becf: build SKIPPED
[x86_64] Cardinal/src/AIDA-X/RTNeural/RTNeural/ModelT.h:345:5: required from 'RTNeural::ModelT<T, in_size, out_size, Layers>::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1>}]'
[x86_64] /usr/include/c++/13/variant:282:4: required from 'constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >]'
[x86_64] /usr/include/c++/13/bits/stl_construct.h:119:7: required from 'void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized<RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, false>; _Args = {const in_place_index_t<0>&}]'
[x86_64] /usr/include/c++/13/variant:567:22: required from 'void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >}; _Args = {}]'
[x86_64] /usr/include/c++/13/variant:1570:33: required from 'std::enable_if_t<is_constructible_v<std::variant<_Types>::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>, std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 19; _Args = {}; _Types = {NullModel, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >}; std::enable_if_t<is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >&; __to_type<_Np> = RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]'
[x86_64] /usr/include/c++/13/variant:1522:33: required from 'std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >; _Args = {}; _Types = {NullModel, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >&]'
[x86_64] Cardinal/src/AIDA-X/model_variant.hpp:586:42: required from here
[x86_64] Cardinal/src/AIDA-X/RTNeural/RTNeural/dense/dense_eigen.h:125:16: warning: member 'RTNeural::DenseT<float, 64, 1>::outs_internal' is used uninitialized [-Wuninitialized]
[x86_64] make[1]: Leaving directory '/usr/src/RPM/BUILD/Cardinal-24.05/plugins'
[x86_64] make: *** [Makefile:190: plugins] Error 2
2024-Jun-07 06:59:30 :: [x86_64] Cardinal.git 24.05-alt2.git77b5becf: remote: build failed
2024-Jun-07 06:59:30 :: [x86_64] #100 Cardinal.git 24.05-alt2.git77b5becf: build FAILED
2024-Jun-07 06:59:30 :: [x86_64] requesting cancellation of task processing
[aarch64] Cardinal/src/AIDA-X/RTNeural/RTNeural/ModelT.h:345:5: required from 'RTNeural::ModelT<T, in_size, out_size, Layers>::ModelT() [with T = float; int in_size = 1; int out_size = 1; Layers = {RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1>}]'
[aarch64] /usr/include/c++/13/variant:282:4: required from 'constexpr std::__detail::__variant::_Uninitialized<_Type, false>::_Uninitialized(std::in_place_index_t<0>, _Args&& ...) [with _Args = {}; _Type = RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >]'
[aarch64] /usr/include/c++/13/bits/stl_construct.h:119:7: required from 'void std::_Construct(_Tp*, _Args&& ...) [with _Tp = __detail::__variant::_Uninitialized<RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, false>; _Args = {const in_place_index_t<0>&}]'
[aarch64] /usr/include/c++/13/variant:567:22: required from 'void std::__detail::__variant::__emplace(_Variant_storage<_Triv, _Types ...>&, _Args&& ...) [with long unsigned int _Np = 19; bool _Triv = false; _Types = {NullModel, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >}; _Args = {}]'
[aarch64] /usr/include/c++/13/variant:1570:33: required from 'std::enable_if_t<is_constructible_v<std::variant<_Types>::__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>, std::variant<_Types>::__to_type<_Np>&> std::variant<_Types>::emplace(_Args&& ...) [with long unsigned int _Np = 19; _Args = {}; _Types = {NullModel, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >}; std::enable_if_t<is_constructible_v<__to_type<_Np, typename std::enable_if<(_Np < sizeof... (_Types)), void>::type>, _Args ...>, __to_type<_Np>&> = RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >&; __to_type<_Np> = RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >; typename std::enable_if<(_Np < sizeof... (_Types)), void>::type = void]'
[aarch64] /usr/include/c++/13/variant:1522:33: required from 'std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> std::variant<_Types>::emplace(_Args&& ...) [with _Tp = RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >; _Args = {}; _Types = {NullModel, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::GRULayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::GRULayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 8, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 8, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 12, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 12, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 16, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 16, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 20, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 20, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 32, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 32, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 40, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 40, 1> >, RTNeural::ModelT<float, 1, 1, RTNeural::LSTMLayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 2, 1, RTNeural::LSTMLayerT<float, 2, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >, RTNeural::ModelT<float, 3, 1, RTNeural::LSTMLayerT<float, 3, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >}; std::enable_if_t<(is_constructible_v<_Tp, _Args ...> && __exactly_once<_Tp>), _Tp&> = RTNeural::ModelT<float, 1, 1, RTNeural::GRULayerT<float, 1, 64, RTNeural::SampleRateCorrectionMode::None>, RTNeural::DenseT<float, 64, 1> >&]'
[aarch64] Cardinal/src/AIDA-X/model_variant.hpp:586:42: required from here
[aarch64] Cardinal/src/AIDA-X/RTNeural/RTNeural/dense/dense_eigen.h:125:16: warning: member 'RTNeural::DenseT<float, 64, 1>::outs_internal' is used uninitialized [-Wuninitialized]
[aarch64] make[1]: Leaving directory '/usr/src/RPM/BUILD/Cardinal-24.05/plugins'
[aarch64] make: *** [Makefile:190: plugins] Error 2
2024-Jun-07 07:01:50 :: [aarch64] Cardinal.git 24.05-alt2.git77b5becf: remote: build failed
2024-Jun-07 07:01:50 :: [aarch64] #100 Cardinal.git 24.05-alt2.git77b5becf: build FAILED
2024-Jun-07 06:59:30 :: [x86_64] build FAILED
2024-Jun-07 07:01:50 :: [aarch64] build FAILED
2024-Jun-07 07:01:50 :: task #350515 for sisyphus FAILED
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2024-06-07 7:01 [#350515] [test-only] FAILED Cardinal.git=24.05-alt2.git77b5becf Girar awaiter (iv)
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