8000 Segmentation fault with ITIMER_REAL · Issue #57185 · pytorch/pytorch · GitHub
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sternj opened this issue Apr 28, 2021 · 8 comments
Open

Segmentation fault with ITIMER_REAL #57185

sternj opened this issue Apr 28, 2021 · 8 comments
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module: macos Mac OS related issues triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@sternj
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sternj commented Apr 28, 2021

🐛 Bug

PyTorch throws SIGSEGV when running alongside timer on MacOS x86

To Reproduce

Steps to reproduce the behavior:

  1. Run code located here on Mac x86

Here is the stack trace from the crashed thread:

Thread 6 Crashed:
0   ???                           	0x00007ffeee6d7138 0 + 140732898570552
1   libtorch_cpu.dylib            	0x000000010392478c at::TensorIteratorBase::serial_for_each(c10::function_ref<void (char**, long long const*, long long, long long)>, at::Range) const + 588
2   libtorch_cpu.dylib            	0x000000010390cdf2 std::__1::__function::__func<at::internal::_parallel_run(long long, long long, long long, std::__1::function<void (long long, long long, unsigned long)> const&)::$_1, std::__1::allocator<at::internal::_parallel_run(long long, long long, long long, std::__1::function<void (long long, long long, unsigned long)> const&)::$_1>, void (int, unsigned long)>::operator()(int&&, unsigned long&&) + 114
3   libtorch_cpu.dylib            	0x000000010390b7ca std::__1::__function::__func<at::(anonymous namespace)::_run_with_pool(std::__1::function<void (int, unsigned long)> const&, unsigned long)::$_3, std::__1::allocator<at::(anonymous namespace)::_run_with_pool(std::__1::function<void (int, unsigned long)> const&, unsigned long)::$_3>, void ()>::operator()() + 42
4   libc10.dylib                  	0x00000001020996c9 c10::ThreadPool::main_loop(unsigned long) + 569
5   libc10.dylib                  	0x0000000102099d43 void* std::__1::__thread_proxy<std::__1::tuple<std::__1::unique_ptr<std::__1::__thread_struct, std::__1::default_delete<std::__1::__thread_struct> >, c10::ThreadPool::ThreadPool(int, int, std::__1::function<void ()>)::$_0> >(void*) + 67
6   libsystem_pthread.dylib       	0x00007fff5a16a2eb _pthread_body + 126
7   libsystem_pthread.dylib       	0x00007fff5a16d249 _pthread_start + 66
8   libsystem_pthread.dylib       	0x00007fff5a16940d thread_start + 13

Expected behavior

Either the program should run without issue or should pass up the SIGALRM.

Environment

Collecting environment information...
PyTorch version: 1.8.1
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 10.14.6 (x86_64)
GCC version: Could not collect
Clang version: 11.0.0 (clang-1100.0.33.12)
CMake version: Could not collect

Python version: 3.9 (64-bit runtime)
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] numpy==1.20.1
[pip3] torch==1.8.1
[conda] Could not collect
@emeryberger
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Reproduced on my machine as well. I get no segfaults when I run with version 1.5.1, but with 1.8.1, it segfaults on most executions.

Collecting environment information...
PyTorch version: 1.8.1
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 11.2.3 (x86_64)
GCC version: Could not collect
Clang version: 12.0.0 (clang-1200.0.32.29)
CMake version: version 3.19.1

Python version: 3.6 (64-bit runtime)
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A

Versions of relevant libraries:
[pip3] numpy==1.19.4
[pip3] torch==1.8.1
[conda] Could not collect

@emeryberger emeryberger mentioned this issue Apr 28, 2021
Closed
@gchanan gchanan added module: macos Mac OS related issues triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module labels Apr 29, 2021
@lamhoangtung
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I'm having the same problem on pytorch 1.8.1 as well

@ananyajoshi2301
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Receied Scalene error: received signal SIGSEGV when using Tensorflow.
Attaching the code for reference:

import tensorflow as tf
mnist = tf.keras.datasets.mnist

(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_train, x_test = x_train/255.0, x_test/255.0

model = tf.keras.models.Sequential([
tf.keras.layers.Flatten(input_shape=(28, 28)),
tf.keras.layers.Dense(512, activation=tf.nn.relu),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Dense(10, activation=tf.nn.softmax)
])

model.compile(optimizer='adam',
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])

model.fit(x_train, y_train, epochs=5)
model.evaluate(x_test, y_test)

Version of tensorflow being used with Python 3.8:
tensorflow==2.6.0

@SolomidHero
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same problem, any update?

@chrish42
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I could potentially have a look at this, but I don't have a lot of experience with the Pytorch codebase. It'd be lovely if someone with more experience there could point us in the right direction, at least.

@emeryberger
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emeryberger commented Aug 18, 2022 •
edited
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FWIW this is now working for me.

Collecting environment information...
PyTorch version: 1.13.0.dev20220521
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 12.5 (arm64)
GCC version: Could not collect
Clang version: 13.1.6 (clang-1316.0.21.2.5)
CMake version: version 3.23.2
Libc version: N/A

Python version: 3.9.13 (main, May 24 2022, 21:13:51)  [Clang 13.1.6 (clang-1316.0.21.2)] (64-bit runtime)
Python platform: macOS-12.5-arm64-arm-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] mypy==0.920
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.23.1
[pip3] torch==1.13.0.dev20220521
[pip3] torchaudio==0.11.0
[pip3] torchvision==0.12.0

@thiagodaedalus
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Same problem.

@ogencoglu
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ogencoglu commented Nov 12, 2023 •
edited
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Same issue with pytorch 2.0.0, python 3.11 on Mac

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@chrish42 @emeryberger @gchanan @ogencoglu @sternj @lamhoangtung @SolomidHero @ananyajoshi2301 @thiagodaedalus
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