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, RTNeur
al::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::Sample
RateCorrectionMode::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::SampleRateCorrec
tionMode::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::Non
e>, 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::Sam
pleRateCorrectionMode::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::SampleRateCor
rectionMode::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::SampleRateCorrectionMod
e::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>, R
TNeural::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>,
RTNe
ural::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>,
RTNeura
l::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::SampleRate
CorrectionMode::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::SampleRateCorrectionM
ode::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::N
one>, 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, RTNeu
ral::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::Sampl
eRateCorrectionMode::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::SampleRateCorre
ctionMode::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::No
ne>, 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::Sa
mpleRateCorrectionMode::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::SampleRateCo
rrectionMode::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::SampleRateCorrectionMo
de::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>,
RTN
eural::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>,
RTNeur
al::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::SampleRat
eCorrectionMode::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::SampleRateCorrection
Mode::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::SampleRateCorrectionMod
e::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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