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libtorch crashing core dump #76229
Comments
I compiled from source, installed and works now. |
@natxopedreira Hi, I am looking forward to your reply very much, thank you! |
馃悰 Describe the bug
Just trying to integrate libtorch in another c++ platform, is building but crashing on launch
Im compiling with gcc
-L./libtorch/lib/ -ltorch_cpu -lc10
Versions
PyTorch version: 1.9.0+cu102
Is debug build: False
CUDA used to build PyTorch: 10.2
ROCM used to build PyTorch: N/A
OS: Ubuntu 20.04.4 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0
Clang version: Could not collect
CMake version: version 3.21.4
Libc version: glibc-2.31
Python version: 3.8.10 (default, Mar 15 2022, 12:22:08) [GCC 9.4.0] (64-bit runtime)
Python platform: Linux-5.13.0-40-generic-x86_64-with-glibc2.29
Is CUDA available: True
CUDA runtime version: 11.2.67
GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1070
Nvidia driver version: 470.103.01
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.5
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn.so.8.1.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8.1.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_adv_train.so.8.1.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8.1.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8.1.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8.1.0
/usr/local/cuda-11.2/targets/x86_64-linux/lib/libcudnn_ops_train.so.8.1.0
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Versions of relevant libraries:
[pip3] mypy-extensions==0.4.3
[pip3] numpy==1.22.3
[pip3] numpydoc==0.7.0
[pip3] torch==1.9.0
[pip3] torchsummary==1.5.1
[pip3] torchvision==0.10.0
[conda] blas 1.0 mkl
[conda] mkl 2021.4.0 h06a4308_640
[conda] mkl-service 2.4.0 py38h7f8727e_0
[conda] mkl_fft 1.3.1 py38hd3c417c_0
[conda] mkl_random 1.2.2 py38h51133e4_0
[conda] mypy_extensions 0.4.3 py38h06a4308_1
[conda] numpy 1.19.5 pypi_0 pypi
[conda] numpydoc 1.2 pyhd3eb1b0_0
cc @jbschlosser
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