marian decode error

[520jefferson]

@emjotde When i use 3 gpus to decode but i get this:

[New Thread 0x7fff92cc1700 (LWP 20374)]
[Thread 0x7fff5c6e4700 (LWP 20371) exited]
[Thread 0x7fff767fc700 (LWP 20373) exited]
[Thread 0x7fff777fe700 (LWP 20372) exited]
[Thread 0x7fff92cc1700 (LWP 20374) exited]
[New Thread 0x7fff92cc1700 (LWP 20376)]
[New Thread 0x7fff777fe700 (LWP 20375)]
[Thread 0x7fff92cc1700 (LWP 20376) exited]
[Thread 0x7fff777fe700 (LWP 20375) exited]
[2018-08-22 19:12:16] [memory] Reserving 305 MB, device gpu7
[2018-08-22 19:12:16] [memory] Reserving 305 MB, device gpu8
[2018-08-22 19:12:16] Error: invalid device ordinal - marian/src/marian/src/tensors/gpu/algorithm.cu:13
[Switching to Thread 0x7fff77fff700 (LWP 20335)]
0x00007fffd1e6f428 in __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:54
54 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory.
(gdb) bt
#0 0x00007fffd1e6f428 in __GI_raise (sig=sig@entry=6) at ../sysdeps/unix/sysv/linux/raise.c:54
#1 0x00007fffd1e7102a in __GI_abort () at abort.c:89
#2 0x00000000007937f6 in gpuAssert(cudaError, char const*, int, bool) [clone .constprop.339] ()
#3 0x0000000000795404 in void marian::gpu::copy(std::shared_ptrmarian::Backend, float const*, float const*, float*) ()
#4 0x0000000000618d6c in void marian::TensorBase::set(float const*, float const*) ()
#5 0x0000000000616ee9 in std::_Function_handler<void (std::shared_ptrmarian::TensorBase), marian::inits::from_item(marian::io::Item const&)::{lambda(std::shared_ptrmarian::TensorBase)#2}>::_M_invoke(std::_Any_data const&, std::shared_ptrmarian::TensorBase&&) ()
#6 0x0000000000611702 in marian::ParamNode::init() ()
#7 0x00000000004a8a4c in marian::ExpressionGraph::forwardNext() ()
#8 0x00000000004b754c in marian::BeamSearch::search(std::shared_ptrmarian::ExpressionGraph, std::shared_ptrmarian::data::CorpusBatch) ()
#9 0x00000000004bac87 in marian::TranslateServicemarian::BeamSearch::run(std::vector<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::allocator<std::__cxx11::basic_string<char, std::char_traits, std::allocator > > > const&)::{lambda(unsigned long)#1}::operator()(unsigned long) const ()
#10 0x00000000004bb871 in std::future<std::result_of<marian::TranslateServicemarian::BeamSearch::run(std::vector<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::allocator<std::__cxx11::basic_string<char, std::char_traits, std::allocator > > > const&)::{lambda(unsigned long)#1}& (unsigned long&)>::type> marian::ThreadPool::enqueue<marian::TranslateServicemarian::BeamSearch::run(std::vector<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::allocator<std::__cxx11::basic_string<char, std::char_traits, std::allocator > > > const&)::{lambda(unsigned long)#1}&, unsigned long&>(std::result_of&&, (marian::TranslateServicemarian::BeamSearch::run(std::vector<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::allocator<std::__cxx11::basic_string<char, std::char_traits, std::allocator > > > const&)::{lambda(unsigned long)#1}&)...)::{lambda()#1}::operator()() const ()
#11 0x00000000004bbb4c in std::_Function_handler<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> (), std::__future_base::_Task_setter<std::unique_ptr<std::__future_base::_Result, std::__future_base::_Result_base::_Deleter>, std::_Bind_simple<std::reference_wrapper<std::future<std::result_of<marian::TranslateServicemarian::BeamSearch::run(std::vector<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::allocator<std::__cxx11::basic_string<char, std::char_traits, std::allocator > > > const&)::{lambda(unsigned long)#1}& (unsigned long&)>::type> marian::ThreadPool::enqueue<marian::TranslateServicemarian::BeamSearch::run(std::vector<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::allocator<std::__cxx11::basic_string<char, std::char_traits, std::allocator > > > const&)::{lambda(unsigned long)#1}&, unsigned long&>(std::result_of&&, (marian::TranslateServicemarian::BeamSearch::run(std::vector<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::allocator<std::__cxx11::basic_string<char, std::char_traits, std::allocator > > > const&)::{lambda(unsigned long)#1}&)...)::{lambda()#1}> ()>, void> >::_M_invoke(std::_Any_data const&) ()
#12 0x0000000000450bf9 in std::__future_base::_State_baseV2::_M_do_set(std::function<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> ()>, bool) ()
#13 0x00007ffff637ba99 in __pthread_once_slow (once_control=0x7fff240166e8,
init_routine=0x7fffd27da2a0 <__once_proxy>) at pthread_once.c:116
---Type to continue, or q to quit---
#14 0x00000000004519b2 in std::_Function_handler<void (), std::future<std::result_of<marian::TranslateServicemarian::BeamSearch::run(std::vector<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::allocator<std::__cxx11::basic_string<char, std::char_traits, std::allocator > > > const&)::{lambda(unsigned long)#1}& (unsigned long&)>::type> marian::ThreadPool::enqueue<marian::TranslateServicemarian::BeamSearch::run(std::vector<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::allocator<std::__cxx11::basic_string<char, std::char_traits, std::allocator > > > const&)::{lambda(unsigned long)#1}&, unsigned long&>(std::result_of&&, (marian::TranslateServicemarian::BeamSearch::run(std::vector<std::__cxx11::basic_string<char, std::char_traits, std::allocator >, std::allocator<std::__cxx11::basic_string<char, std::char_traits, std::allocator > > > const&)::{lambda(unsigned long)#1}&)...)::{lambda()#3}>::_M_invoke(std::_Any_data const&) ()
#15 0x000000000046b8d4 in std::thread::_Impl<std::_Bind_simple<marian::ThreadPool::ThreadPool(unsigned long, unsigned long)::{lambda()#1} ()> >::_M_run() ()
#16 0x00007fffd27db260 in ?? () from /opt/anaconda2/lib/libstdc++.so.6
#17 0x00007ffff63746ba in start_thread (arg=0x7fff77fff700) at pthread_create.c:333
#18 0x00007fffd1f4141d in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:109
(gdb)

[520jefferson]

@emjotde the gpu number i gived but it doesn't exist,it will case this error in running. But no case error in the beginning.

[emjotde]

It does say Error: invalid device ordinal