Comments (9)
Svalorzen
commented on July 22, 2024
Mmmh.. weird. I've just tried it on my local machines and it works. Could you try to compile both the library and the example in debug and see what happens?
from ai-toolbox.
Svalorzen
commented on July 22, 2024
@alecive Did you have any chance to check out this bug again?
from ai-toolbox.
alecive
commented on July 22, 2024
Hey @Svalorzen , sorry for the delay in answering you. I just downloaded a clean version of your repo to test it again without any of my modifications. I got the same error. I then proceeded to compiling the repo in debug mode, and ran the example with gdb. Same error again:
Starting program: /home/alecive/Desktop/AI-Toolbox-master/examples/tiger_antelope
Mon Jan 9 16:59:42 2017
- Copying model...!
Mon Jan 9 17:17:18 2017
- Init solver...!
Mon Jan 9 17:17:18 2017
- Starting solver!
tiger_antelope: /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:131: Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::SparseMatrix<double, 1>; Rhs = const Eigen::SparseMatrix<double, 1>]: Assertion `aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols()' failed.
Program received signal SIGABRT, Aborted.
This is some info from gdb:
(gdb) where
#0 0x00007ffff721cc37 in __GI_raise (sig=sig@entry=6) at ../nptl/sysdeps/unix/sysv/linux/raise.c:56
#1 0x00007ffff7220028 in __GI_abort () at abort.c:89
#2 0x00007ffff7215bf6 in __assert_fail_base (fmt=0x7ffff73663b8 "%s%s%s:%u: %s%sAssertion `%s' failed.\n%n",
assertion=assertion@entry=0x42ef68 "aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols()",
file=file@entry=0x42ef30 "/usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h", line=line@entry=131,
function=function@entry=0x430e40 <Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::SparseMatrix<double, 1, int> const, Eigen::SparseMatrix<double, 1, int> const>::CwiseBinaryOp(Eigen::SparseMatrix<double, 1, int> const&, Eigen::SparseMatrix<double, 1, int> const&, Eigen::internal::scalar_product_op<double, double> const&)::__PRETTY_FUNCTION__> "Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::SparseMatrix<do"...) at assert.c:92
#3 0x00007ffff7215ca2 in __GI___assert_fail (assertion=0x42ef68 "aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols()",
file=0x42ef30 "/usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h", line=131,
function=0x430e40 <Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::SparseMatrix<double, 1, int> const, Eigen::SparseMatrix<double, 1, int> const>::CwiseBinaryOp(Eigen::SparseMatrix<double, 1, int> const&, Eigen::SparseMatrix<double, 1, int> const&, Eigen::internal::scalar_product_op<double, double> const&)::__PRETTY_FUNCTION__> "Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::SparseMatrix<do"...) at assert.c:101
#4 0x0000000000402d65 in AIToolbox::MDP::ValueIterationEigen<AIToolbox::MDP::SparseModel, void>::computeImmediateRewards(AIToolbox::MDP::SparseModel const&) const ()
#5 0x00000000004039a7 in AIToolbox::MDP::ValueIterationEigen<AIToolbox::MDP::SparseModel, void>::operator()(AIToolbox::MDP::SparseModel const&) ()
#6 0x0000000000401f25 in main ()
(gdb) bt full
#0 0x00007ffff721cc37 in __GI_raise (sig=sig@entry=6) at ../nptl/sysdeps/unix/sysv/linux/raise.c:56
resultvar = 0
pid = 12662
selftid = 12662
#1 0x00007ffff7220028 in __GI_abort () at abort.c:89
save_stage = 2
act = {__sigaction_handler = {sa_handler = 0x7fffffffc3d2, sa_sigaction = 0x7fffffffc3d2}, sa_mask = {__val = {140737340909828, 4386608, 131, 4294967295,
140737339553107, 4294967296, 140737488336720, 4294948784, 4230933, 140737488336880, 0, 0, 0, 21474836480, 140737354096640, 140737340924856}},
sa_flags = 4386664,
sa_restorer = 0x430e40 <Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::SparseMatrix<double, 1, int> const, Eigen::SparseMatrix<double, 1, int> const>::CwiseBinaryOp(Eigen::SparseMatrix<double, 1, int> const&, Eigen::SparseMatrix<double, 1, int> const&, Eigen::internal::scalar_product_op<double, double> const&)::__PRETTY_FUNCTION__>}
sigs = {__val = {32, 0 <repeats 15 times>}}
#2 0x00007ffff7215bf6 in __assert_fail_base (fmt=0x7ffff73663b8 "%s%s%s:%u: %s%sAssertion `%s' failed.\n%n",
assertion=assertion@entry=0x42ef68 "aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols()",
file=file@entry=0x42ef30 "/usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h", line=line@entry=131,
function=function@entry=0x430e40 <Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::SparseMatrix<double, 1, int> const, Eigen::SparseMatrix<double, 1, int> const>::CwiseBinaryOp(Eigen::SparseMatrix<double, 1, int> const&, Eigen::SparseMatrix<double, 1, int> const&, Eigen::internal::scalar_product_op<double, double> const&)::__PRETTY_FUNCTION__> "Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op<double, double>; Lhs = const Eigen::SparseMatrix<do"...) at assert.c:92
str = 0xac747b0 "tiger_antelope: /usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h:131: Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::interna"...
total = 4096
#3 0x00007ffff7215ca2 in __GI___assert_fail (assertion=0x42ef68 "aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols()",
file=0x42ef30 "/usr/include/eigen3/Eigen/src/Core/CwiseBinaryOp.h", line=131,
function=0x430e40 <Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, Eigen::SparseMatrix<double, 1, int> const, Eigen::SparseMatrix<double, 1, int> const>::CwiseBinaryOp(Eigen::SparseMatrix<double, 1, int> const&, Eigen::SparseMatrix<double, 1, int> const&, Eigen::internal::scalar_product_op<double, double> const&)::__PRETTY_FUNCTION__> "Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::sca---Type <return> to continue, or q <return> to quit---
lar_product_op<double, double>; Lhs = const Eigen::SparseMatrix<do"...) at assert.c:101
No locals.
#4 0x0000000000402d65 in AIToolbox::MDP::ValueIterationEigen<AIToolbox::MDP::SparseModel, void>::computeImmediateRewards(AIToolbox::MDP::SparseModel const&) const ()
No symbol table info available.
#5 0x00000000004039a7 in AIToolbox::MDP::ValueIterationEigen<AIToolbox::MDP::SparseModel, void>::operator()(AIToolbox::MDP::SparseModel const&) ()
No symbol table info available.
#6 0x0000000000401f25 in main ()
No symbol table info available.
Please tell me if you need any further info!
from ai-toolbox.
Svalorzen
commented on July 22, 2024
Unfortunately I can't seem to reproduce this. I've also checked the line which is supposedly crashing your program, and it looks correct. There's only a single coefficient wise multiplication, and it is done on matrices which are surely of the same dimension, so the failed assert shouldn't really trigger (if it did, nothing would work ever).
Could it be that you have a weird Eigen version with some bug? Is there any way you could try updating your Eigen library (maybe checkout the newest version by hand and use that) and let me know if that fixes the problem?
In any case, if you could tell me your OS and Eigen library version that'd be swell.
from ai-toolbox.
alecive
commented on July 22, 2024
What version are you currently using? I'm on 3.3.0, downloaded from the website and compiled manually.
And I'm on Ubuntu 14.04. Yes it's old, but the robot I'm using is forcing me to use that version.
from ai-toolbox.
Svalorzen
commented on July 22, 2024
I'm using the default ones for Ubuntu 16.04 (3.3 but a bit alpha I believe). I'll try to use the official ones. It seems strange though. Are you also on Ubuntu?
from ai-toolbox.
alecive
commented on July 22, 2024
Yes sorry I edited the message before. I'm on Ubuntu 14.04 and I cannot upgrade due to issues with my robot.
from ai-toolbox.
Svalorzen
commented on July 22, 2024
Hey, sorry for the very late response. The library has gotten a bit of a makeover so this may be irrelevant now.
I'm now on Ubuntu 17.04. I've tested again, both in release and debug the example by using the newly released Eigen 3.3.4 downloaded from tar.gz. I've not found this problem, so I've no idea what it could be.
Can you reproduce it still?
from ai-toolbox.
alecive
commented on July 22, 2024
Let's close the issue, as it is so far in the past that has little relevance at this point. I am still on Ubuntu 14.04, which makes things probably difficult to reproduce with latest releases.
from ai-toolbox.
Related Issues (20)
- Python module problem HOT 26
- Using the Toolbox to solve the Tag problem HOT 4
- Save POMDP policy HOT 6
- Sparse Matrix's on POMDP model HOT 22
- Improve serialization for MDP and POMDP Sparse Models HOT 1
- Problem with make HOT 5
- Make cannot find .hpp file in Boost HOT 2
- Errors when compiling tutorials HOT 5
- Can't find Lpsolve when run cmake HOT 9
- Using AI-Toolbox with OMNeT++ HOT 2
- Make issue HOT 9
- Not able to find "compare" file HOT 3
- Trouble installing and running AIToolbox HOT 9
- about LP_Solve HOT 13
- error C3779: 'AIToolbox::IndexMapIterator<IdsIterator,Container>::operator *': a function that returns 'auto' cannot be used before it is defined HOT 11
- Better Project Setup Tutorial HOT 6
- C++: error: expected ‘)’ before ‘elementsN’ HOT 10
- Problems when building the library HOT 4
- Sparse Matrix: Space Time Complexity while assigning and accessing an element. HOT 1
- Can't build because of lpslove HOT 16
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ai-toolbox.