Open3D
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Published
20 hours ago •
isl-org
isl-org
Segmentation fault when updating mesh positions many times
Checklist
- [X] I have searched for similar issues.
- [X] For Python issues, I have tested with the latest development wheel.
- [X] I have checked the release documentation and the latest documentation (for
masterbranch).
Describe the issue
I wrote a package for visualising particle simulations/trajectories built on top of Open3D. Code is available here. However, during the visualisation, if many frames (~>1000) or a larger number of particles (~>300) are being visualised, the program will eventually segfault.
It seems that there is some trade-off between number of particles and length of the simulation run and therefore I thought it could be associated with the update of the mesh position at each time step. I do so as follows:
- Render all mesh objects to screen (add them to an O3DVisualizer)
- Perform translation/rotations on previously instantiated mesh objects to get their state in the next time step
- Remove all geometries from the O3DVisualizer screen
- Add transformed meshes back to the Visualizer
It seem that for a large number of these updates there are memory issues. I have checked the raw memory usage and found that there is NO proliferation of memory use before the crash, i.e, there is plenty of memory left on the machine before the program segfaults and crashes. The memory usage is in fact very constant after initialisation as no new data is added after this point.
Steps to reproduce the bug
# With the ZnVis package
import numpy as np
import znvis as vis
if __name__ == "__main__":
"""
Run the simple spheres example.
"""
# Define the first particle.
trajectory = np.random.uniform(-10, 10, (5000, 300, 3))
mesh = vis.Sphere(radius=2.0, colour=np.array([30, 144, 255]) / 255, resolution=10)
particle = vis.Particle(name="Blue", mesh=mesh, position=trajectory)
# Define the second particle.
trajectory_2 = np.random.uniform(-10, 10, (5000, 300, 3))
mesh_2 = vis.Sphere(radius=1.0, colour=np.array([255, 140, 0]) / 255, resolution=10)
particle_2 = vis.Particle(name="Orange", mesh=mesh_2, position=trajectory_2)
# Construct the visualizer and run
visualizer = vis.Visualizer(particles=[particle, particle_2], frame_rate=20)
visualizer.run_visualization()
Error message
In the terminal one receives the standard: ``bash zsh: segmentation fault
I will also provide the error report as printed on my Mac. I can also provide the error from a linux machine for additional assistance.
```bash
-------------------------------------
Translated Report (Full Report Below)
-------------------------------------
Process: python3.8 [22047]
Path: /Users/USER/*/python3
Identifier: python3.8
Version: ???
Code Type: X86-64 (Native)
Parent Process: zsh [17826]
Responsible: Terminal [1728]
User ID: 501
Date/Time: 2022-01-21 00:07:02.9153 +0100
OS Version: macOS 12.1 (21C52)
Report Version: 12
Bridge OS Version: 6.1 (19P647)
Anonymous UUID: F2912C6F-A060-A98E-C043-4F3215C85928
Sleep/Wake UUID: C98280A7-8872-45AA-B1A7-FB0A5FDB1827
Time Awake Since Boot: 28000 seconds
Time Since Wake: 1980 seconds
System Integrity Protection: enabled
Crashed Thread: 0 Dispatch queue: com.apple.main-thread
Exception Type: EXC_BAD_ACCESS (SIGSEGV)
Exception Codes: UNKNOWN_0xD at 0x0000000000000000
Exception Codes: 0x000000000000000d, 0x0000000000000000
Exception Note: EXC_CORPSE_NOTIFY
Termination Reason: Namespace SIGNAL, Code 11 Segmentation fault: 11
Terminating Process: exc handler [22047]
VM Region Info: 0 is not in any region. Bytes before following region: 4364251136
REGION TYPE START - END [ VSIZE] PRT/MAX SHRMOD REGION DETAIL
UNUSED SPACE AT START
--->
__TEXT 104213000-104545000 [ 3272K] r-x/rwx SM=COW ...R/*/python3.8
Thread 0 Crashed:: Dispatch queue: com.apple.main-thread
0 pybind.cpython-38-darwin.so 0x179da1b46 0x173a19000 + 104368966
Thread 1:
0 libsystem_kernel.dylib 0x7ff81af973da __semwait_signal + 10
1 libsystem_c.dylib 0x7ff81aeac8a9 nanosleep + 196
2 libc++.1.dylib 0x7ff81af3ac11 std::__1::this_thread::sleep_for(std::__1::chrono::duration<long long, std::__1::ratio<1l, 1000000000l> > const&) + 73
3 pybind.cpython-38-darwin.so 0x176efbc48 0x173a19000 + 55454792
4 pybind.cpython-38-darwin.so 0x176f0b09e 0x173a19000 + 55517342
5 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
6 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 2:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 3:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 4:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 5:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 6:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 7:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 8:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 9:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 10:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 11:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 12:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 13:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 14:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 15:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 16:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 17:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 libtensorflow_framework.2.dylib 0x11d810c85 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 libtensorflow_framework.2.dylib 0x11d810979 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 libtensorflow_framework.2.dylib 0x11d81046c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 libtensorflow_framework.2.dylib 0x11d80fd72 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 18:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 19:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 20:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 21:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 22:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 23:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 24:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 25:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 26:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 27:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 28:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 29:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 30:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 31:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 32:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 33:
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 _pywrap_tensorflow_internal.so 0x13b3b3555 Eigen::EventCount::CommitWait(Eigen::EventCount::Waiter*) + 229
4 _pywrap_tensorflow_internal.so 0x13b3b3249 Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WaitForWork(Eigen::EventCount::Waiter*, tensorflow::thread::EigenEnvironment::Task*) + 889
5 _pywrap_tensorflow_internal.so 0x13b3b2d3c Eigen::ThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1532
6 _pywrap_tensorflow_internal.so 0x13b3b2642 tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()::operator()() const + 66
7 libtensorflow_framework.2.dylib 0x11d7fb9b8 tensorflow::(anonymous namespace)::PThread::ThreadFn(void*) + 104
8 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
9 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 34:
0 libsystem_pthread.dylib 0x7ff81afccfec start_wqthread + 0
Thread 35:: com.apple.NSEventThread
0 libsystem_kernel.dylib 0x7ff81af94aba mach_msg_trap + 10
1 libsystem_kernel.dylib 0x7ff81af94e2b mach_msg + 59
2 CoreFoundation 0x7ff81b098af2 __CFRunLoopServiceMachPort + 319
3 CoreFoundation 0x7ff81b0971cb __CFRunLoopRun + 1325
4 CoreFoundation 0x7ff81b0965dd CFRunLoopRunSpecific + 563
5 AppKit 0x7ff81dc33d98 _NSEventThread + 132
6 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
7 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 36:: JobSystem::loop
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 pybind.cpython-38-darwin.so 0x179e63eec utils::JobSystem::loop(utils::JobSystem::ThreadState*) + 220
4 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 37:: JobSystem::loop
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 pybind.cpython-38-darwin.so 0x179e63eec utils::JobSystem::loop(utils::JobSystem::ThreadState*) + 220
4 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 38:: JobSystem::loop
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 pybind.cpython-38-darwin.so 0x179e63eec utils::JobSystem::loop(utils::JobSystem::ThreadState*) + 220
4 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 39:: JobSystem::loop
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 pybind.cpython-38-darwin.so 0x179e63eec utils::JobSystem::loop(utils::JobSystem::ThreadState*) + 220
4 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 40:: JobSystem::loop
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 pybind.cpython-38-darwin.so 0x179e63eec utils::JobSystem::loop(utils::JobSystem::ThreadState*) + 220
4 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 41:: JobSystem::loop
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 pybind.cpython-38-darwin.so 0x179e63eec utils::JobSystem::loop(utils::JobSystem::ThreadState*) + 220
4 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 42:: JobSystem::loop
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
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Thread 43:: FEngine::loop
0 libsystem_kernel.dylib 0x7ff81af97506 __psynch_cvwait + 10
1 libsystem_pthread.dylib 0x7ff81afd1a69 _pthread_cond_wait + 1224
2 libc++.1.dylib 0x7ff81af30ec2 std::__1::condition_variable::wait(std::__1::unique_lock<std::__1::mutex>&) + 18
3 pybind.cpython-38-darwin.so 0x179ddf4db 0x173a19000 + 104621275
4 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 44:
0 libsystem_pthread.dylib 0x7ff81afccfec start_wqthread + 0
Thread 45:
0 libsystem_kernel.dylib 0x7ff81af9ce4a __select + 10
1 python3.8 0x10448a98f time_sleep + 351
2 python3.8 0x1042a04f4 cfunction_vectorcall_O + 100
3 python3.8 0x10438ce32 call_function + 162
4 python3.8 0x1043893e2 _PyEval_EvalFrameDefault + 43522
5 python3.8 0x104242818 _PyFunction_Vectorcall + 248
6 python3.8 0x10424649e method_vectorcall + 494
7 python3.8 0x104241a69 PyVectorcall_Call + 121
8 python3.8 0x10438a994 _PyEval_EvalFrameDefault + 49076
9 python3.8 0x104242818 _PyFunction_Vectorcall + 248
10 python3.8 0x10438ce32 call_function + 162
11 python3.8 0x104389353 _PyEval_EvalFrameDefault + 43379
12 python3.8 0x104242818 _PyFunction_Vectorcall + 248
13 python3.8 0x10438ce32 call_function + 162
14 python3.8 0x104389353 _PyEval_EvalFrameDefault + 43379
15 python3.8 0x104242818 _PyFunction_Vectorcall + 248
16 python3.8 0x10424649e method_vectorcall + 494
17 python3.8 0x104241a69 PyVectorcall_Call + 121
18 python3.8 0x10448db64 t_bootstrap + 212
19 python3.8 0x104418654 pythread_wrapper + 36
20 libsystem_pthread.dylib 0x7ff81afd14f4 _pthread_start + 125
21 libsystem_pthread.dylib 0x7ff81afcd00f thread_start + 15
Thread 0 crashed with X86 Thread State (64-bit):
rax: 0x00007fd64853c900 rbx: 0x0000000000000000 rcx: 0x0000000000000001 rdx: 0x00007fd656e6b330
rdi: 0x0000000000000000 rsi: 0x00007fd64fa00000 rbp: 0x0000000003001102 rsp: 0x00007ff7bbce76b8
r8: 0x1000000000000000 r9: 0x0000000000000000 r10: 0x000060000126a8e0 r11: 0x0000000000000010
r12: 0x0000000000000000 r13: 0x000060000126a8f8 r14: 0x0000000000000000 r15: 0x0000000000000000
rip: 0x0000000179da1b46 rfl: 0x0000000000010246 cr2: 0x00007fd63d613000
Logical CPU: 8
Error Code: 0x00000000
Trap Number: 13
Thread 0 instruction stream:
04 f3 0f 59 f4 f3 0f 58-f5 f3 0f 58 f0 0f 28 c1 ...Y...X...X..(.
f3 0f 5c c6 66 41 0f 7e-c4 44 89 f0 83 e0 07 48 ..\.fA.~.D.....H
c1 e0 32 49 09 c4 48 8b-44 24 c8 8b 04 88 89 44 ..2I..H.D$.....D
24 c4 41 c1 ee 03 44 23-74 24 b8 41 83 e6 01 49 $.A...D#t$.A...I
89 c9 44 89 d1 4d 8b 14-1f 4b 8d 44 6d 00 4d 8d ..D..M...K.Dm.M.
2c c2 41 89 ff 0f 1f 44-00 00 49 8b 02 4c 8b 00 ,.A....D..I..L..
[41]8b 98 00 02 00 00 44-89 da 44 0f b6 98 10 01 A......D..D..... <==
00 00 41 83 e3 03 83 e5-fc 44 09 dd 41 89 d3 41 ..A......D..A..A
8b 7a 08 48 89 46 08 89-7e 10 8b 44 24 c4 89 46 .z.H.F..~..D$..F
14 89 6e 18 66 44 89 4e-1c 44 88 5e 1e c6 46 1f ..n.fD.N.D.^..F.
00 41 0f b6 80 08 02 00-00 84 c0 0f 95 c2 3c 03 .A............<.
0f 95 c0 89 df c1 ef 18-c1 eb 1d 44 21 fb f7 d3 ...........D!...
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External Modification Summary:
Calls made by other processes targeting this process:
task_for_pid: 0
thread_create: 0
thread_set_state: 0
Calls made by this process:
task_for_pid: 0
thread_create: 0
thread_set_state: 0
Calls made by all processes on this machine:
task_for_pid: 0
thread_create: 0
thread_set_state: 0
VM Region Summary:
ReadOnly portion of Libraries: Total=2.0G resident=0K(0%) swapped_out_or_unallocated=2.0G(100%)
Writable regions: Total=1.7G written=0K(0%) resident=0K(0%) swapped_out=0K(0%) unallocated=1.7G(100%)
VIRTUAL REGION
REGION TYPE SIZE COUNT (non-coalesced)
=========== ======= =======
Accelerate framework 128K 1
Activity Tracing 256K 1
CG backing stores 2688K 4
CG image 72K 5
ColorSync 228K 26
CoreAnimation 144K 8
CoreGraphics 16K 3
CoreUI image data 972K 7
Foundation 16K 1
IOKit 15.5M 2
Kernel Alloc Once 8K 1
MALLOC 778.6M 829
MALLOC guard page 32K 8
MALLOC_LARGE (reserved) 904K 4 reserved VM address space (unallocated)
MALLOC_NANO (reserved) 384.0M 1 reserved VM address space (unallocated)
OpenGL GLSL 384K 5
STACK GUARD 184K 46
Stack 54.4M 46
VM_ALLOCATE 101.1M 415
VM_ALLOCATE (reserved) 384.0M 4 reserved VM address space (unallocated)
__DATA 67.9M 719
__DATA_CONST 13.3M 169
__DATA_DIRTY 541K 99
__FONT_DATA 4K 1
__GLSLBUILTINS 5176K 1
__LINKEDIT 1.0G 339
__OBJC_RO 81.8M 1
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__TEXT 985.3M 633
__UNICODE 588K 1
dyld private memory 1280K 3
mapped file 89.8M 24
shared memory 780K 18
=========== ======= =======
TOTAL 3.9G 3427
TOTAL, minus reserved VM space 3.1G 3427
-----------
Full Report
-----------
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Graphics: Intel UHD Graphics 630, Intel UHD Graphics 630, Built-In
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AirPort: spairport_wireless_card_type_wifi (0x14E4, 0x7BF), wl0: Jul 12 2021 18:02:56 version 9.30.464.0.32.5.76 FWID 01-c081cfed
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Expected behavior
It should be able to run for as many meshes and as many time steps as required. Seeing as the memory use in constant, I do not see why it should fail at any point.
Open3D, Python and System information
- Operating system: (e.g. OSX 10.15, Ubuntu 18.04, Windows 10 64-bit)
macOS 12.1 (21C52) and Ubuntu 18.04
- Python version: (e.g. Python 3.8 / output from `import sys print(sys.version)`)
3.7, 3.8, 3.9
- Open3D version: (output from python: `print(open3d.__version__)`)
0.14.1
- System type: (x84 / arm64 / apple-silicon / jetson / rpi)
x86
- Is this remote workstation?: yes or no
no
- How did you install Open3D?: (e.g. pip, conda, build from source)
pip
- Compiler version (if built from source): (e.g. gcc 7.5, clang 7.0)
Additional information
No response
We fixed a couple of memory leak issues after 0.14.1. I want to confirm, have you tried the latest development version of Open3D available here?
The code snippet is high level and hard to track the issue. Could you please dig into your code base and see what might be the minimal reproducible example that is directly related to Open3D?
Yes I can do this, sorry I did not provide it previously. I have printed below how Open3D is used in the visualizer.
Here is the code for updating of a particle state, i.e. position and rotation
def _draw_particles(self, visualizer=None, initial: bool = False):
"""
Draw the particles on the visualizer.
Parameters
----------
initial : bool (default = True)
If true, no particles are removed.
Returns
-------
updates the information in the visualizer.
Notes
-----
TODO: Use of initial is a dirty fix. It can be removed when support for
transforming multiple geometry objects is added to open3d.
"""
if visualizer is None:
visualizer = self.vis
if initial:
for item in self.particles:
for particle in item.mesh_dict:
visualizer.add_geometry(particle, item.mesh_dict[particle])
else:
for item in self.particles:
for particle in item.mesh_dict:
visualizer.remove_geometry(particle)
visualizer.add_geometry(particle, item.mesh_dict[particle])
The mesh dict in this case is a dictionary full of mesh objects, e.g. spheres. These are Open3D TriangleMesh objects.
The following method updates the particles in the visualizer window:
def _update_particles(self, visualizer=None, step: int = None):
"""
Update the positions of the particles.
Parameters
----------
step : int
Step to update to.
Returns
-------
Updates the positions of the particles in the box.
"""
if visualizer is None:
visualizer = self.vis
if step is None:
if self.counter == self.number_of_steps - 1:
self.counter = 0
else:
self.counter += 1
step = self.counter
for particle in self.particles:
particle.update_position_data(step)
self._draw_particles(visualizer=visualizer) # draw the particles.
visualizer.post_redraw() # re-draw the window.
Finally, the following two methods (one is just a thread opening linked to a button) uses a callback to run the simulation is the visualizer window:
def _continuous_trajectory(self, vis):
"""
Button command for running the simulation in the visualizer.
Parameters
----------
vis : visualizer
Object passed during the callback.
"""
threading.Thread(target=self._run_trajectory).start()
def _run_trajectory(self):
"""
Callback method for running the trajectory smoothly.
Returns
-------
Runs through the trajectory.
"""
while self.counter < self.number_of_steps:
time.sleep(1 / self.frame_rate)
o3d.visualization.gui.Application.instance.post_to_main_thread(
self.vis, self._update_particles
)
if self.interrupt == 1:
break
self.interrupt = 0
In terms of updating the position and rotation data of a mesh it is done in the following code:
def update_position_data(self, step: int):
"""
Update the positions of each particle.
Parameters
----------
step : int
Step to update to.
Returns
-------
Updates the position of the mesh in the mesh_dict
Notes
-----
TODO: Allow for no position data.
"""
for i, item in enumerate(self.mesh_dict):
self.mesh_dict[item].translate(self.position[step][i], relative=False)
if self.director is not None:
if step == 0:
current = self.director[-1][i]
matrix = rotation_matrix(current, self.director[step][i])
self.mesh_dict[item].rotate(matrix)
else:
current = self.director[step - 1][i]
matrix = rotation_matrix(current, self.director[step][i])
self.mesh_dict[item].rotate(matrix)
Please let me know if I can provide more information about any part of the code.
I encountered the same problem as you. Finally, I found that the system would crash after calling the function post_redraw many times. The post_redraw function may have some vulnerabilities. It may crash or not respond to mouse operations after multiple calls.
I encountered the same problem as you. Finally, I found that the system would crash after calling the function post_redraw many times. The post_redraw function may have some vulnerabilities. It may crash or not respond to mouse operations after multiple calls.
I am having similar issues with the post_redraw, is there anything on the issue or how to bypass the crashes? currently trying to debug and find the issue with gdb.
The code here will recreate the crashes: https://github.com/isl-org/Open3D/issues/5243
Unfortunately, I have not solved this problem. Two weeks have been delayed on this issue, resulting in the inability to realize animation. The asynchronous method can be used to refresh in a short time by using the python threading.Thread, and problems will occur again after several times. Or use the regular visualizer as open3d.visualization.Visualizer, as you reply in the issue 5245.
Hey, after how many calls does it crash approximately? The code I liked above can be called thousands of times until It crashes currently. The repo is https://github.com/zincware/ZnVis
open3d 0.16 is out and it seems like the crashes stopped accuring for me. try and check it out if it solves this issue @SamTov
I still get a segmentation fault with the new version. The issue persists when I use a smaller number of spheres for a larger number of updates or more spheres for less updates so I guess it is really the post_redraw operation being called many times still.
I can confirm that the issue still persists. It crashes on exactly the 65520th call to add geometry. Basic example code to reproduce the crash:
import open3d as o3d
import open3d.visualization.gui as gui
import open3d.visualization.rendering as rendering
import time
import threading
class Window3D:
def __init__(self):
self.window = gui.Application.instance.create_window("Test", 1800, 700)
self.window.set_on_close(self._on_close)
self.widget3d = gui.SceneWidget()
self.widget3d.scene = rendering.Open3DScene(self.window.renderer)
self.window.add_child(self.widget3d)
self.lit = rendering.MaterialRecord()
self.lit.shader = "defaultUnlit"
self.elems = []
for i in range(20):
wall = o3d.geometry.TriangleMesh.create_box(width=0.01, height=0.01, depth=0.01, create_uv_map=False, map_texture_to_each_face=False)
wall.translate([i*0.1, 0, 0])
self.elems.append(wall)
self.widget3d.scene.add_geometry("wall" + str(i), wall, self.lit)
bounds = self.widget3d.scene.bounding_box
self.widget3d.setup_camera(60.0, bounds, bounds.get_center())
self.counter = 0;
self.is_done = False
threading.Thread(target=self._update_thread).start()
def _on_close(self):
self.is_done = True
return True
def _update_thread(self):
while not self.is_done:
time.sleep(0.01)
def update():
self.counter +=1
print(self.counter)
print("remove_geometry")
for i in range(len(self.elems)):
# print("remove_geometry")
self.widget3d.scene.remove_geometry('wall' + str(i))
print("add_geometry")
for i in range(len(self.elems)):
self.widget3d.scene.add_geometry('wall' + str(i), self.elems[i], self.lit)
if not self.is_done:
gui.Application.instance.post_to_main_thread(self.window, update)
def main():
app = o3d.visualization.gui.Application.instance
app.initialize()
win = Window3D()
app.run()
if __name__ == "__main__":
main()
Having the same issue as @jen-co . I am trying to implement SLAM pipeline with 1.16.0 and drawing camera frustum (line sets) at video frame rate but always fails with this segmentation fault at some point.
#5243 #4992 #4881 are also similar issues. Did anyone manage to solve this?
@muskie82 I don' think there is a simple solution to this particular bug on the Python level as it is usually a Segmentation fault. This would suggest one needs to look into the c++ side to resolve it.
Same issue here. Interesting thing is that my application running in an event loop by iteratively calling instance.run_one_tick() crashes as well with a segfault after a certain amount of calls. post_redraw() is not actively called. Maybe run_one_tick() calls this function or parts of it as well.
@MeyerBuaharonAssuming the 0.17 version is on PyPi not from my side. I have however moved my software over to combining all meshes into one large mesh which means I delay this fault for many time steps which is a temporary workable solution.
I'm using the v0.17 release in C++ and I seem to be having the same problem. Does anyone know if the issue is fixed in the current latest commit on the master branch?
