Comments (5)
Hi! I solved this problem by adding
if __name__ == "__main__":
in the beginning of my script and putting everything in the body of that if.
For some weird reason, the code was calling itself in a new process.
Now I run into memory issues, but that's another problem.
from detectron2.
As I posted this issue, i just noticed my pytorch is built with a different CUDA Runtime, I will try to fix that and see if the error goes away, but i have a feeling that's not gonna make a difference.
from detectron2.
Tried compiling this repo with CUDA10.1 installed. The compilation errored out as logged here
Important lines of the log are:
C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\BIN\x86_amd64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -DWITH_CUDA -IF:\dd\conan_det\detectron2\detectron2\layers\csrc -IE:\Anaconda\envs\dd\lib\site-packages\torch\include -IE:\Anaconda\envs\dd\lib\site-packages\torch\include\torch\csrc\api\include -IE:\Anaconda\envs\dd\lib\site-packages\torch\include\TH -IE:\Anaconda\envs\dd\lib\site-packages\torch\include\THC "-IC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include" -IE:\Anaconda\envs\dd\include -IE:\Anaconda\envs\dd\include "-IC:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\INCLUDE" "-IC:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\ATLMFC\INCLUDE" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.10240.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\NETFXSDK\4.6.1\include\um" "-IC:\Program Files (x86)\Windows Kits\8.1\include\\shared" "-IC:\Program Files (x86)\Windows Kits\8.1\include\\um" "-IC:\Program Files (x86)\Windows Kits\8.1\include\\winrt" /EHsc /TpF:\dd\conan_det\detectron2\detectron2\layers\csrc\ROIAlignRotated\ROIAlignRotated_cpu.cpp /Fobuild\temp.win-amd64-3.7\Release\dd\conan_det\detectron2\detectron2\layers\csrc\ROIAlignRotated\ROIAlignRotated_cpu.obj /MD /wd4819 /EHsc -DTORCH_API_INCLUDE_EXTENSION_H -DTORCH_EXTENSION_NAME=_C -D_GLIBCXX_USE_CXX11_ABI=0
error: command 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v10.1\\bin\\nvcc.exe' failed with exit status 2
This is as far as a i understand. Please do take a look at mentioned log file to get a clear picture. Any help is appreciated.
from detectron2.
Here's what I need help with:
I have been banging my head against a wall trying to get detectron2 to work, but to no avail. Now after I stumbled onto this project, i was finally able to build and install detectron2 properly. I tried replicating this notebook locally, which works as expected, even predicting balloons properly.
But when I reproduce the same code as a python file and try to run it using either pycharm or cmd line I'm hitting a weird error which I've not found anything about either in original Detectron2 repo or simple google search.
This gist has the code I pulled into a single file.
Here's the error log:
Config 'F:\dd\detectron2\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_FPN_3x.yaml' has no VERSION. Assuming it to be compatible with latest v2. Config 'F:\dd\detectron2\configs\COCO-InstanceSegmentation\mask_rcnn_R_50_FPN_3x.yaml' has no VERSION. Assuming it to be compatible with latest v2. Traceback (most recent call last): File "<string>", line 1, in <module> Traceback (most recent call last): File "sample", line 79, in <module> trainer = DefaultTrainer(cfg) File "f:\dd\conan_det\detectron2\detectron2\engine\defaults.py", line 249, in __init__ File "E:\Anaconda\envs\dd\lib\multiprocessing\spawn.py", line 105, in spawn_main super().__init__(model, data_loader, optimizer) File "f:\dd\conan_det\detectron2\detectron2\engine\train_loop.py", line 194, in __init__ exitcode = _main(fd) File "E:\Anaconda\envs\dd\lib\multiprocessing\spawn.py", line 114, in _main self._data_loader_iter = iter(data_loader) File "E:\Anaconda\envs\dd\lib\site-packages\torch\utils\data\dataloader.py", line 278, in __iter__ prepare(preparation_data) File "E:\Anaconda\envs\dd\lib\multiprocessing\spawn.py", line 225, in prepare return _MultiProcessingDataLoaderIter(self) _fixup_main_from_path(data['init_main_from_path']) File "E:\Anaconda\envs\dd\lib\site-packages\torch\utils\data\dataloader.py", line 682, in __init__ File "E:\Anaconda\envs\dd\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path run_name="__mp_main__") File "E:\Anaconda\envs\dd\lib\runpy.py", line 263, in run_path w.start() File "E:\Anaconda\envs\dd\lib\multiprocessing\process.py", line 112, in start pkg_name=pkg_name, script_name=fname) self._popen = self._Popen(self) File "E:\Anaconda\envs\dd\lib\runpy.py", line 96, in _run_module_code File "E:\Anaconda\envs\dd\lib\multiprocessing\context.py", line 223, in _Popen mod_name, mod_spec, pkg_name, script_name) return _default_context.get_context().Process._Popen(process_obj) File "E:\Anaconda\envs\dd\lib\runpy.py", line 85, in _run_code File "E:\Anaconda\envs\dd\lib\multiprocessing\context.py", line 322, in _Popen exec(code, run_globals) File "C:\Users\Gautam\PycharmProjects\detectron2_sample\sample", line 79, in <module> return Popen(process_obj) File "E:\Anaconda\envs\dd\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__ trainer = DefaultTrainer(cfg) reduction.dump(process_obj, to_child) File "f:\dd\conan_det\detectron2\detectron2\engine\defaults.py", line 249, in __init__ File "E:\Anaconda\envs\dd\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) BrokenPipeErrorsuper().__init__(model, data_loader, optimizer): [Errno 32] Broken pipe File "f:\dd\conan_det\detectron2\detectron2\engine\train_loop.py", line 194, in __init__ self._data_loader_iter = iter(data_loader) File "E:\Anaconda\envs\dd\lib\site-packages\torch\utils\data\dataloader.py", line 278, in __iter__ return _MultiProcessingDataLoaderIter(self) File "E:\Anaconda\envs\dd\lib\site-packages\torch\utils\data\dataloader.py", line 682, in __init__ w.start() File "E:\Anaconda\envs\dd\lib\multiprocessing\process.py", line 112, in start self._popen = self._Popen(self) File "E:\Anaconda\envs\dd\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "E:\Anaconda\envs\dd\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "E:\Anaconda\envs\dd\lib\multiprocessing\popen_spawn_win32.py", line 46, in __init__ prep_data = spawn.get_preparation_data(process_obj._name) File "E:\Anaconda\envs\dd\lib\multiprocessing\spawn.py", line 143, in get_preparation_data _check_not_importing_main() File "E:\Anaconda\envs\dd\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main is not going to be frozen to produce an executable.''') RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase. This probably means that you are not using fork to start your child processes and you have forgotten to use the proper idiom in the main module: if __name__ == '__main__': freeze_support() ... The "freeze_support()" line can be omitted if the program is not going to be frozen to produce an executable.
Environment
The filename, directory name, or volume label syntax is incorrect. ------------------------ ------------------------------------------------------------------ sys.platform win32 Python 3.7.4 (default, Aug 9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)] Numpy 1.16.5 Detectron2 Compiler MSVC 190024215 Detectron2 CUDA Compiler 10.2 DETECTRON2_ENV_MODULE <not set> PyTorch 1.3.1 PyTorch Debug Build False torchvision 0.4.2 CUDA available True GPU 0 GeForce GTX 1060 3GB CUDA_HOME C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2 NVCC Not Available Pillow 6.2.1 cv2 3.4.2 ------------------------ ------------------------------------------------------------------ PyTorch built with: - MSVC 191125547 - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications - OpenMP 200203 - CUDA Runtime 10.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_50,code=compute_50 - CuDNN 7.5.1 - Magma 2.5.0 - Build settings: BLAS=MKL, BUILD_NAMEDTENSOR=OFF, BUILD_TYPE=Release, CXX_FLAGS=/DWIN32 /D_WINDOWS /GR /w /EHa /MP /bigobj -openmp, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, USE_CUDA=True, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=OFF, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF,
which script do you run?
from detectron2.
@conansherry https://gist.github.com/gautamchitnis/bed3dd638ce068a84bae712ec8feafbb
Here's the .py script I'm running.
from detectron2.
Related Issues (20)
- Error while installing detectron2 on Windows | Pytorch :1.5 | CUDA :10.1 HOT 2
- compiled successfully but no attribute named get_config_file HOT 2
- Files to modify do not exists HOT 1
- model_zoo.get_config_file does not exit HOT 2
- Windows 10 w/ VS2019 and torch cpu only HOT 3
- Successfully installed detectron2 on Win10 HOT 6
- Detectron2 could not find MSVC compiler during build.
- MSVC's link.exe could not build visions.obj HOT 2
- How to HOT 1
- 3090 detectron2
- build problem on Windows10. HOT 2
- ValueError: Unknown CUDA arch (8.6) or GPU not supported HOT 3
- Install detectron2 on ubuntu18.04 setup.py with error HOT 1
- How to load Detectron2 on windows10 with CUDA11.1 and pyTorch 1.8.0. Is there any way to do it? Using the present method threw up the following error.
- Visualize Connected Keypoint Annotations
- Building Problems on Windows 10 within CUDA 11.1
- 无法打开输入文件(can't open)vision.obj
- fatal error C1083: Cannot open compiler generated file: '': Invalid argument
- GPU is not used when running demo.py
- Cuda version mismatch
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 detectron2.