I'm embedding python in a multi-threaded C application. I've taken care to wrap every call to the Python C API with gstate = PyGILState_Ensure(); // call python code PyGILState_Release(gstate); But I'm stumped with what to do in the initialization. Right after the call to Py_IsInitialized() I've added a call: PyEval_InitThreads(); The docs say that this function leaves the GIL locked when it returns. I do some more initializations like importing modules and then I call PyEval_ReleaseLock(); This seems to cause a problem since not long after a call to PyGILState_Release(gstate) that's made in a different thread crashes. with "Fatal Python error: This thread state must be current when releasing" If I don't do the call to PyEval_ReleaseLock() in the main thread right after initialization, the GIL seems to be released after the first PyGILState_Ensure() - PyGILState_Release() pair. So what am I doing wrong here? What is the correct way of initializing a multi-threaded application?
Hi, Maybe you already fixed the issue, but for the record, I've got the same problem and finally it turned out that I was calling PyEval_InitThreads twice and also after fixing that, I also had to move the call to PyEval_ReleaseLock(); at the end of the entire initialization (not just after PyEval_initThreads). The key thing there is to follow: <<at initialization thread>> Py_Initialize (); PyEval_InitThreads(); /* now call here to initialize all python code by loading external files or internal module loading (i.e. Py_InitModule3) */ /* ..and now, once no more Python C/API call is required, release the GIL so other threads can come into play */ PyEval_ReleaseLock (); <<and now, from other threads, use>> /* wait til gil acquired */ state = PyGILState_Ensure(); /* your code */ /* release GIL */ PyGILState_Release (state); Hope it helps, Cheers! > I'm embedding python in a multi-threaded C application. > > I've taken care to wrap every call to the Python C API with > > > > gstate = PyGILState_Ensure(); > > // call python code > > PyGILState_Release(gstate); > > > > But I'm stumped with what to do in the initialization. > > Right after the call to Py_IsInitialized() I've added a call: > > > > PyEval_InitThreads(); > > > > The docs say that this function leaves the GIL locked when it returns. > > I do some more initializations like importing modules and then I call > > > > PyEval_ReleaseLock(); > > > > This seems to cause a problem since not long after a call to > > PyGILState_Release(gstate) that's made in a different thread crashes. > > with > > > > "Fatal Python error: This thread state must be current when releasing" > > > > If I don't do the call to PyEval_ReleaseLock() in the main thread > > right after initialization, the GIL seems to be released > > after the first PyGILState_Ensure() - PyGILState_Release() pair. > > > > So what am I doing wrong here? > > What is the correct way of initializing a multi-threaded application?
Just clarify there's no problem about calling twice to PyEval_InitThreads () as indicated by Python's doc. > Hi, > > > > Maybe you already fixed the issue, but for the record, I've got the same > > problem and finally it turned out that I was calling PyEval_InitThreads twice > > and also after fixing that, I also had to move the call to PyEval_ReleaseLock(); at the end of the entire initialization (not just after PyEval_initThreads). > > > > The key thing there is to follow: > > > > <<at initialization thread>> > > Py_Initialize (); > > PyEval_InitThreads(); > > /* now call here to initialize all python code by loading external files > > or internal module loading (i.e. Py_InitModule3) */ > > /* ..and now, once no more Python C/API call is required, release > > the GIL so other threads can come into play */ > > PyEval_ReleaseLock (); > > > > <<and now, from other threads, use>> > > /* wait til gil acquired */ > > state = PyGILState_Ensure(); > > /* your code */ > > /* release GIL */ > > PyGILState_Release (state); > > > > Hope it helps, Cheers! > > > > > > > I'm embedding python in a multi-threaded C application. > > > > > > I've taken care to wrap every call to the Python C API with > > > > > > > > > > > > gstate = PyGILState_Ensure(); > > > > > > // call python code > > > > > > PyGILState_Release(gstate); > > > > > > > > > > > > But I'm stumped with what to do in the initialization. > > > > > > Right after the call to Py_IsInitialized() I've added a call: > > > > > > > > > > > > PyEval_InitThreads(); > > > > > > > > > > > > The docs say that this function leaves the GIL locked when it returns. > > > > > > I do some more initializations like importing modules and then I call > > > > > > > > > > > > PyEval_ReleaseLock(); > > > > > > > > > > > > This seems to cause a problem since not long after a call to > > > > > > PyGILState_Release(gstate) that's made in a different thread crashes. > > > > > > with > > > > > > > > > > > > "Fatal Python error: This thread state must be current when releasing" > > > > > > > > > > > > If I don't do the call to PyEval_ReleaseLock() in the main thread > > > > > > right after initialization, the GIL seems to be released > > > > > > after the first PyGILState_Ensure() - PyGILState_Release() pair. > > > > > > > > > > > > So what am I doing wrong here? > > > > > > What is the correct way of initializing a multi-threaded application?