CUDA not working
Opened this issue · 3 comments
thomhughes commented
[Taichi version 0.3.25, cuda 10.0, commit c5ce590f]
Using CUDA Device [0]: GeForce GTX 980 Ti
Device Compute Capability: 5.2
[E 01/30/20 00:43:20.664] [unified_allocator.cpp:UnifiedAllocator@23] Cuda Error cudaErrorMemoryAllocation: out of memory
[E 01/30/20 00:43:20.664] Received signal 6 (Aborted)
***********************************
* Taichi Compiler Stack Traceback *
***********************************
/home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so: taichi::signal_handler(int)
/usr/lib/libc.so.6(+0x3bfb0) [0x7fd8a2b08fb0]
/usr/lib/libc.so.6: gsignal
/home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so: taichi::Tlang::UnifiedAllocator::UnifiedAllocator(unsigned long, bool)
/home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so: taichi::Tlang::UnifiedAllocator::create(bool)
/home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so: taichi::Tlang::Program::Program(taichi::Tlang::Arch)
/home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so(+0x81ca79) [0x7fd87f0aba79]
/home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so(+0x612fe4) [0x7fd87eea1fe4]
/usr/lib/libpython3.7m.so.1.0: _PyMethodDef_RawFastCallDict
/usr/lib/libpython3.7m.so.1.0: _PyCFunction_FastCallDict
/usr/lib/libpython3.7m.so.1.0: _PyObject_Call_Prepend
/usr/lib/libpython3.7m.so.1.0: PyObject_Call
/usr/lib/libpython3.7m.so.1.0(+0x152813) [0x7fd8a28dd813]
/usr/lib/libpython3.7m.so.1.0: _PyObject_FastCallKeywords
/usr/lib/libpython3.7m.so.1.0(+0x156fb2) [0x7fd8a28e1fb2]
/usr/lib/libpython3.7m.so.1.0: _PyEval_EvalFrameDefault
/usr/lib/libpython3.7m.so.1.0: _PyEval_EvalCodeWithName
/usr/lib/libpython3.7m.so.1.0: _PyFunction_FastCallKeywords
/usr/lib/libpython3.7m.so.1.0(+0x156e30) [0x7fd8a28e1e30]
/usr/lib/libpython3.7m.so.1.0: _PyEval_EvalFrameDefault
/usr/lib/libpython3.7m.so.1.0: _PyFunction_FastCallDict
/usr/lib/libpython3.7m.so.1.0: _PyObject_FastCall_Prepend
/usr/lib/libpython3.7m.so.1.0(+0x152893) [0x7fd8a28dd893]
/usr/lib/libpython3.7m.so.1.0(+0x152a88) [0x7fd8a28dda88]
/usr/lib/libpython3.7m.so.1.0: _PyEval_EvalFrameDefault
/usr/lib/libpython3.7m.so.1.0: _PyFunction_FastCallKeywords
/usr/lib/libpython3.7m.so.1.0(+0x156e30) [0x7fd8a28e1e30]
/usr/lib/libpython3.7m.so.1.0: _PyEval_EvalFrameDefault
/usr/lib/libpython3.7m.so.1.0: _PyEval_EvalCodeWithName
/usr/lib/libpython3.7m.so.1.0: PyEval_EvalCodeEx
/usr/lib/libpython3.7m.so.1.0: PyEval_EvalCode
/usr/lib/libpython3.7m.so.1.0(+0x1fee85) [0x7fd8a2989e85]
/usr/lib/libpython3.7m.so.1.0: PyRun_FileExFlags
/usr/lib/libpython3.7m.so.1.0: PyRun_SimpleFileExFlags
/usr/lib/libpython3.7m.so.1.0(+0x206610) [0x7fd8a2991610]
/usr/lib/libpython3.7m.so.1.0: _Py_UnixMain
/usr/lib/libc.so.6: __libc_start_main
python(_start+0x2e) [0x563762dac05e]
I have tried using both cuda 10.0 and 10.1. Sorry if this is a known issue, I've tried searching for a solution online.
Thank you :) would really like to try and mess around with all this.
yuanming-hu commented
We are actively working on supporting pre-Pascal GPUs, which has a different unified memory behavior compared to Pascal devices - sorry about the inconvenience. Meanwhile, most examples do not need a GPU to run.
kkinhhhnhh commented
[Taichi version 0.3.25, cuda 10.0, commit c5ce590f] Using CUDA Device [0]: GeForce GTX 980 Ti Device Compute Capability: 5.2 [E 01/30/20 00:43:20.664] [unified_allocator.cpp:UnifiedAllocator@23] Cuda Error cudaErrorMemoryAllocation: out of memory [E 01/30/20 00:43:20.664] Received signal 6 (Aborted) *********************************** * Taichi Compiler Stack Traceback * *********************************** /home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so: taichi::signal_handler(int) /usr/lib/libc.so.6(+0x3bfb0) [0x7fd8a2b08fb0] /usr/lib/libc.so.6: gsignal /home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so: taichi::Tlang::UnifiedAllocator::UnifiedAllocator(unsigned long, bool) /home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so: taichi::Tlang::UnifiedAllocator::create(bool) /home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so: taichi::Tlang::Program::Program(taichi::Tlang::Arch) /home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so(+0x81ca79) [0x7fd87f0aba79] /home/thom/taichi/lib/python3.7/site-packages/taichi/core/../lib/taichi_core.so(+0x612fe4) [0x7fd87eea1fe4] /usr/lib/libpython3.7m.so.1.0: _PyMethodDef_RawFastCallDict /usr/lib/libpython3.7m.so.1.0: _PyCFunction_FastCallDict /usr/lib/libpython3.7m.so.1.0: _PyObject_Call_Prepend /usr/lib/libpython3.7m.so.1.0: PyObject_Call /usr/lib/libpython3.7m.so.1.0(+0x152813) [0x7fd8a28dd813] /usr/lib/libpython3.7m.so.1.0: _PyObject_FastCallKeywords /usr/lib/libpython3.7m.so.1.0(+0x156fb2) [0x7fd8a28e1fb2] /usr/lib/libpython3.7m.so.1.0: _PyEval_EvalFrameDefault /usr/lib/libpython3.7m.so.1.0: _PyEval_EvalCodeWithName /usr/lib/libpython3.7m.so.1.0: _PyFunction_FastCallKeywords /usr/lib/libpython3.7m.so.1.0(+0x156e30) [0x7fd8a28e1e30] /usr/lib/libpython3.7m.so.1.0: _PyEval_EvalFrameDefault /usr/lib/libpython3.7m.so.1.0: _PyFunction_FastCallDict /usr/lib/libpython3.7m.so.1.0: _PyObject_FastCall_Prepend /usr/lib/libpython3.7m.so.1.0(+0x152893) [0x7fd8a28dd893] /usr/lib/libpython3.7m.so.1.0(+0x152a88) [0x7fd8a28dda88] /usr/lib/libpython3.7m.so.1.0: _PyEval_EvalFrameDefault /usr/lib/libpython3.7m.so.1.0: _PyFunction_FastCallKeywords /usr/lib/libpython3.7m.so.1.0(+0x156e30) [0x7fd8a28e1e30] /usr/lib/libpython3.7m.so.1.0: _PyEval_EvalFrameDefault /usr/lib/libpython3.7m.so.1.0: _PyEval_EvalCodeWithName /usr/lib/libpython3.7m.so.1.0: PyEval_EvalCodeEx /usr/lib/libpython3.7m.so.1.0: PyEval_EvalCode /usr/lib/libpython3.7m.so.1.0(+0x1fee85) [0x7fd8a2989e85] /usr/lib/libpython3.7m.so.1.0: PyRun_FileExFlags /usr/lib/libpython3.7m.so.1.0: PyRun_SimpleFileExFlags /usr/lib/libpython3.7m.so.1.0(+0x206610) [0x7fd8a2991610] /usr/lib/libpython3.7m.so.1.0: _Py_UnixMain /usr/lib/libc.so.6: __libc_start_main python(_start+0x2e) [0x563762dac05e]I have tried using both cuda 10.0 and 10.1. Sorry if this is a known issue, I've tried searching for a solution online.
Thank you :) would really like to try and mess around with all this.
ashkspark commented
Is the CUDA version stable? Is the CUDA library compatible with CUPY?