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…Kernel::bindInput. [ghstack-poisoned]
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Summary: added more statistic info for static runtime Test Plan: caffe2/benchmarks/static_runtime:static_runtime_cpptest Expected output example: Static runtime ms per iter: 0.939483. Iters per second: 1064.41 Node #0: 0.195671 ms/iter, %wide_offset.1 : Tensor = aten::add(%wide.1, %self._mu, %4) Node #1: 0.169457 ms/iter, %wide_normalized.1 : Tensor = aten::mul(%wide_offset.1, %self._sigma) Node #2: 0.118218 ms/iter, %wide_preproc.1 : Tensor = aten::clamp(%wide_normalized.1, %5, %6) Node #3: 0.038814 ms/iter, %user_emb_t.1 : Tensor = aten::transpose(%user_emb.1, %4, %7) Node #4: 0.0860747 ms/iter, %dp_unflatten.1 : Tensor = aten::bmm(%ad_emb_packed.1, %user_emb_t.1) Node #5: 0.0102666 ms/iter, %31 : Tensor = static_runtime::flatten_copy(%dp_unflatten.1, %4, %8) Node #6: 0.000476333 ms/iter, %19 : Tensor[] = prim::ListConstruct(%31, %wide_preproc.1) Node #7: 0.0707332 ms/iter, %input.1 : Tensor = aten::cat(%19, %4) Node #8: 0.123695 ms/iter, %fc1.1 : Tensor = aten::addmm(%self._fc_b, %input.1, %29, %4, %4) Node #9: 0.0309244 ms/iter, %23 : Tensor = aten::sigmoid(%fc1.1) Node #10: 0.0046297 ms/iter, %24 : (Tensor) = prim::TupleConstruct(%23) Time per node type: 0.195671 ms. 23.0483%. aten::add (1 nodes) 0.169457 ms. 19.9605%. aten::mul (1 nodes, out variant) 0.123695 ms. 14.5702%. aten::addmm (1 nodes, out variant) 0.118218 ms. 13.925%. aten::clamp (1 nodes, out variant) 0.0860747 ms. 10.1388%. aten::bmm (1 nodes, out variant) 0.0707332 ms. 8.33175%. aten::cat (1 nodes, out variant) 0.038814 ms. 4.57195%. aten::transpose (1 nodes) 0.0309244 ms. 3.64263%. aten::sigmoid (1 nodes, out variant) 0.0102666 ms. 1.20932%. static_runtime::flatten_copy (1 nodes, out variant) 0.0046297 ms. 0.545338%. prim::TupleConstruct (1 nodes, out variant) 0.000476333 ms. 0.0561079%. prim::ListConstruct (1 nodes, out variant) 0.848959 ms. in Total StaticRuntime setup time: 0.018925 ms Memory allocation time: 0.019808 ms Memory deallocation time: 0.0120445 ms Outputs deallocation time: 0.0864947 ms Total memory managed: 19328 bytes Total number of reused tensors: 3 Total number of 'out' variant nodes/total number of nodes: 9/11 (81.8182%) Reviewed By: hlu1 Differential Revision: D28553029 fbshipit-source-id: 55e7eab50b4b475ae219896100bdf4f6678875a4
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Aug 26, 2021
Summary: Pull Request resolved: pytorch#60987 We were seeing deadlocks as follows during shutdown: ``` Thread 1 (LWP 2432101): #0 0x00007efca470190b in __pause_nocancel () from /lib64/libc.so.6 #1 0x00007efca49de485 in __pthread_mutex_lock_full () from /lib64/libpthread.so.0 #2 0x00007ef91d4c42c6 in __cuda_CallJitEntryPoint () from /lib64/libnvidia-ptxjitcompiler.so.1 #3 0x00007efc651ac8f1 in ?? () from /lib64/libcuda.so #4 0x00007efc651aee03 in ?? () from /lib64/libcuda.so #5 0x00007efc64f76b84 in ?? () from /lib64/libcuda.so #6 0x00007efc64f77f5d in ?? () from /lib64/libcuda.so #7 0x00007efc64eac858 in ?? () from /lib64/libcuda.so #8 0x00007efc64eacfbc in ?? () from /lib64/libcuda.so #9 0x00007efc7810a924 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #10 0x00007efc780fa2be in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #11 0x00007efc78111044 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #12 0x00007efc7811580a in ?? () from /usr/local/cuda/lib64/libcublas.so.11 #13 0x00007efc78115aa4 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 pytorch#14 0x00007efc781079ec in ?? () from /usr/local/cuda/lib64/libcublas.so.11 pytorch#15 0x00007efc780e6a7a in ?? () from /usr/local/cuda/lib64/libcublas.so.11 pytorch#16 0x00007efc7811cfa5 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 pytorch#17 0x00007efc777ea98c in ?? () from /usr/local/cuda/lib64/libcublas.so.11 pytorch#18 0x00007efc777ebd80 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 pytorch#19 0x00007efc777ea2c9 in ?? () from /usr/local/cuda/lib64/libcublas.so.11 pytorch#20 0x00007efc778c2e2d in cublasDestroy_v2 () from /usr/local/cuda/lib64/libcublas.so.11 pytorch#21 0x00007efc51a3fb56 in std::_Sp_counted_ptr_inplace<at::cuda::(anonymous namespace)::DeviceThreadHandlePool<cublasContext*, &at::cuda::(anonymous namespace)::createCublasHandle, &at::cuda::(anonymous namespace)::destroyCublasHandle>, std::allocator<at::cuda::(anonymous namespace)::DeviceThreadHandlePool<cublasContext*, &at::cuda::(anonymous namespace)::createCublasHandle, &at::cuda::(anonymous namespace)::destroyCublasHandle> >, (__gnu_cxx::_Lock_policy)2>::_M_dispose() () from /data/users/pritam/pytorch/torch/lib/libtorch_cuda.so pytorch#22 0x00007efc51a3fc5f in std::shared_ptr<at::cuda::(anonymous namespace)::DeviceThreadHandlePool<cublasContext*, &at::cuda::(anonymous namespace)::createCublasHandle, &at::cuda::(anonymous namespace)::destroyCublasHandle> >::~shared_ptr() () from /data/users/pritam/pytorch/torch/lib/libtorch_cuda.so pytorch#23 0x00007efca4648b0c in __run_exit_handlers () from /lib64/libc.so.6 pytorch#24 0x00007efca4648c40 in exit () from /lib64/libc.so.6 pytorch#25 0x0000558c8852e5f9 in Py_Exit (sts=0) at /tmp/build/80754af9/python_1614362349910/work/Python/pylifecycle.c:2292 pytorch#26 0x0000558c8852e6a7 in handle_system_exit () at /tmp/build/80754af9/python_1614362349910/work/Python/pythonrun.c:636 pytorch#27 0x0000558c8852e742 in PyErr_PrintEx (set_sys_last_vars=<optimized out>, set_sys_last_vars=<optimized out>) at /tmp/build/80754af9/python_1614362349910/work/Python/pythonrun.c:646 pytorch#28 0x0000558c88540dd6 in PyRun_SimpleStringFlags (command=0x7efca4dc9050 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=9, pipe_handle=13)\n", flags=0x7ffe3a986110) at /tmp/build/80754af9/python_1614362349910/work/Python/pythonrun.c:457 pytorch#29 0x0000558c88540ead in pymain_run_command (cf=0x7ffe3a986110, command=<optimized out>) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:420 pytorch#30 pymain_run_python (pymain=0x7ffe3a986220) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:2907 pytorch#31 pymain_main (pymain=0x7ffe3a986220) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:3460 pytorch#32 0x0000558c8854122c in _Py_UnixMain (argc=<optimized out>, argv=<optimized out>) at /tmp/build/80754af9/python_1614362349910/work/Modules/main.c:3495 pytorch#33 0x00007efca4632493 in __libc_start_main () from /lib64/libc.so.6 pytorch#34 0x0000558c884e5e90 in _start () at ../sysdeps/x86_64/elf/start.S:103 ``` This was likely caused due to a static singleton that wasn't leaky. Following the guidance in https://isocpp.org/wiki/faq/ctors#construct-on-first-use-v2 to use a leaky singleton instead. ghstack-source-id: 132847448 Test Plan: Verified locally. Reviewed By: malfet Differential Revision: D29468866 fbshipit-source-id: 89250594c5cd2643417b1da584c658b742dc5a5c
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Aug 26, 2021
Summary: Pull Request resolved: pytorch#61588 As part of debugging pytorch#60290, we discovered the following deadlock: ``` Thread 79 (Thread 0x7f52ff7fe700 (LWP 205437)): #0 pthread_cond_timedwait@GLIBC_2.3.2 () at ../sysdeps/unix/sysv/linux/x86_64/pthread_cond_timedwait.S:225 #1 0x0000564880199152 in PyCOND_TIMEDWAIT (cond=0x564880346080 <gil_cond>, mut=0x564880346100 <gil_mutex>, us=5000) at /home/builder/ktietz/cos6/ci_cos6/python_1622833237666/work/Python/condvar.h:103 #2 take_gil (tstate=0x7f5254005ef0) at /home/builder/ktietz/cos6/ci_cos6/python_1622833237666/work/Python/ceval_gil.h:224 #3 0x0000564880217b62 in PyEval_AcquireThread (tstate=0x7f5254005ef0) at /home/builder/ktietz/cos6/ci_cos6/python_1622833237666/work/Python/ceval.c:278 #4 0x00007f557d54aabd in pybind11::gil_scoped_acquire::gil_scoped_acquire() () from /opt/conda/lib/python3.6/site-packages/torch/lib/libtorch_python.so #5 0x00007f557da7792f in (anonymous namespace)::concrete_decref_fn(c10::impl::PyInterpreter const*, _object*) () from /opt/conda/lib/python3.6/site-packages/torch/lib/libtorch_python.so #6 0x00007f5560dadba6 in c10::TensorImpl::release_resources() () from /opt/conda/lib/python3.6/site-packages/torch/lib/libc10.so #7 0x00007f5574c885bc in std::_Sp_counted_ptr_inplace<torch::distributed::autograd::DistAutogradContext, std::allocator<torch::distributed::autograd::DistAutogradContext>, (__gnu_cxx::_Lock_policy)2>::_M_dispose() () from /opt/conda/lib/python3.6/site-packages/torch/lib/libtorch_cpu.so #8 0x00007f5574c815e9 in std::__detail::_Hashtable_alloc<std::allocator<std::__detail::_Hash_node<std::pair<long const, std::shared_ptr<torch::distributed::autograd::DistAutogradContext> >, false> > >::_M_deallocate_node(std::__detail::_Hash_node<std::pair<long const, std::shared_ptr<torch::distributed::autograd::DistAutogradContext> >, false>*) [clone .isra.325] () from /opt/conda/lib/python3.6/site-packages/torch/lib/libtorch_cpu.so #9 0x00007f5574c81bf1 in torch::distributed::autograd::DistAutogradContainer::eraseContextIdAndReset(torch::distributed::autograd::DistAutogradContainer::ContextsShard&, long) () from /opt/conda/lib/python3.6/site-packages/torch/lib/libtorch_cpu.so #10 0x00007f5574c86e83 in torch::distributed::autograd::DistAutogradContainer::releaseContextIfPresent(long) () from /opt/conda/lib/python3.6/site-packages/torch/lib/libtorch_cpu.so #11 0x00007f5574cc6395 in torch::distributed::rpc::RequestCallbackNoPython::processCleanupAutogradContextReq(torch::distributed::rpc::RpcCommandBase&) const () from /opt/conda/lib/python3.6/site-packages/torch/lib/libtorch_cpu.so #12 0x00007f5574cccf15 in torch::distributed::rpc::RequestCallbackNoPython::processRpc(torch::distributed::rpc::RpcCommandBase&, torch::distributed::rpc::MessageType const&, std::vector<c10::Stream, std::allocator<c10::Stream> >) const () from /opt/conda/lib/python3.6/site-packages/torch/lib/libtorch_cpu.so Thread 72 (Thread 0x7f53077fe700 (LWP 205412)): #0 __lll_lock_wait () at ../sysdeps/unix/sysv/linux/x86_64/lowlevellock.S:135 #1 0x00007f55bc62adbd in __GI___pthread_mutex_lock (mutex=0x564884396440) at ../nptl/pthread_mutex_lock.c:80 #2 0x00007f5574c82a2f in torch::distributed::autograd::DistAutogradContainer::retrieveContext(long) () from /opt/conda/lib/python3.6/site-packages/torch/lib/libtorch_cpu.so #3 0x00007f557de9bb2f in pybind11::cpp_function::initialize<torch::distributed::autograd::(anonymous namespace)::dist_autograd_init(_object*, _object*)::{lambda(long)#11}, pybind11::dict, long, pybind11::name, pybind11::scope, pybind11::sibling, char [931], pybind11::arg>(torch::distributed::autograd::(anonymous namespace)::dist_autograd_init(_object*, _object*)::{lambda(long)#11}&&, pybind11::dict (*)(long), pybind11::name const&, pybind11::scope const&, pybind11::sibling const&, char const (&) [931], pybind11::arg const&)::{lambda(pybind11::detail::function_call&)#3}::_FUN(pybind11::detail::function_call) () from /opt/conda/lib/python3.6/site-packages/torch/lib/libtorch_python.so ``` Basically Thread 72, holds GIL and tries to acquire the lock for DistAutogradContainer to perform a lookup on a map. On the other hand, Thread 79 holds the lock on DistAutogradContainer to remove a Tensor and as part of TensorImpl destructor, concrete_decref_fn is called which waits for GIL. As a result, we have a deadlock. To fix this issue, I've ensured we release GIL when we call `retrieveContext` and acquire it later when needed. ghstack-source-id: 133493659 Test Plan: waitforbuildbot Reviewed By: mrshenli Differential Revision: D29682624 fbshipit-source-id: f68a1fb39040ca0447a26e456a97bce64af6b79c
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Aug 26, 2021
…ytorch#63339) Summary: Pull Request resolved: pytorch#63339 # Context https://fb.workplace.com/groups/pytorch.dev/permalink/900474523864362/?comment_id=901125403799274&reply_comment_id=905023386742809 ##### WHAT IS A STACK TRACE? A stack trace (also called stack backtrace or stack traceback) is a report of the active stack frames at a certain point in time during the execution of a program. Typically when an exception is thrown, one would expect to see the code (file:line) that threw the exception, and every intermediate frame up to and including the main function. We are enabling android stack trace to help debugging on android devices. Test Plan: ## Steps to test ``` buck build fbsource//xplat/caffe2/mode/aibench_pytorch_android -c pt.enable_qpl=0 -c pt.has_backtraces=1 fbsource//xplat/caffe2/fb/lite_predictor:lite_predictorAndroid#android-x86_64 one_world android emulator android-28 adb push ~/fbsource/buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictorAndroid#android-x86_64 /data/local/tmp cd /data/local/tmp ./lite_predictorAndroid#android-x86_64 ./lite_predictorAndroid#android-x86_64 --model ./detect.bc --input_dims "1,3,192,192" --input_type float --warmup 20 --iter 5 --report_pep true ``` ## See how model file is not found stack traces is: ### before ``` ./lite_predictorAndroid#android-x86_64 --model ./detect.bc --input_dims "1,3,192,192" --input_type float --warmup 20 --iter 5 --report_pep true Run with 2 threads Run with 2 threads Loading model... terminating with uncaught exception of type c10::Error: open file failed, file path: ./detect.bc Exception raised from RAIIFile at xplat/caffe2/caffe2/serialize/file_adapter.cc:13 (most recent call first): (no backtrace available) Aborted ``` ### after ``` 134|generic_x86_64:/data/local/tmp $ ./lite_predictorAndroid#android-x86_64 --model ./detect.bc --input_dims "1,3,192,192" --input_type float --warmup 20 --iter 5 --report_pep true Run with 2 threads Run with 2 threads Loading model... terminating with uncaught exception of type c10::Error: open file failed, file path: ./detect.bc Exception raised from RAIIFile at xplat/caffe2/caffe2/serialize/file_adapter.cc:13 (most recent call first): frame #0 c10::get_backtrace(unsigned long, unsigned long, bool)[0x59494274f10e] frame #1 [0x5949427b1eee] frame #2 [0x5949427b1eb2] frame #3 [0x5949427b1cdc] frame #4 std::__ndk1::function<std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > ()>::operator()() const[0x5949427afc34] frame #5 c10::Error::Error(c10::SourceLocation, std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> >)[0x5949427b05b1] frame #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const&)[0x5949427aca5f] frame #7 caffe2::serialize::FileAdapter::RAIIFile::RAIIFile(std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const&)[0x5949426b37b2] frame #8 caffe2::serialize::FileAdapter::FileAdapter(std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const&)[0x5949426b3903] frame #9 torch::jit::_load_for_mobile(std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const&, c10::optional<c10::Device>, std::__ndk1::unordered_map<std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> >, std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> >, std::__ndk1::hash<std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > >, std::__ndk1::equal_to<std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > >, std::__ndk1::allocator<std::__ndk1::pair<std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const, std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > > > >&)[0x5949422737bd] frame #10 torch::jit::_load_for_mobile(std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const&, c10::optional<c10::Device>)[0x594942273769] frame #11 benchmark(std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const&, int, std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const&, std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const&, std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const&, bool, int, int, int, bool, int, bool, int, double, bool, bool, bool, std::__ndk1::basic_string<char, std::__ndk1::char_traits<char>, std::__ndk1::allocator<char> > const&)[0x59494189b21d] frame #12 main[0x594941882aff] frame #13 __libc_init[0x7b699d08578d] ``` ### what we get for os:linux ``` (base) [pavithran@devvm1803.vll0 /data/users/pavithran/fbsource] ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor --model ./detect.bc --input_dims "1,3,192,192" --input_type float --warmup 20 --iter 5 --report_pep true Run with 24 threads Run with 24 threads Loading model... terminate called after throwing an instance of 'c10::Error' what(): open file failed, file path: ./detect.bc Exception raised from RAIIFile at xplat/caffe2/caffe2/serialize/file_adapter.cc:13 (most recent call first): frame #0: ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor() [0x20cb7fe] frame #1: ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor() [0x20cb6c6] frame #2: std::function<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > ()>::operator()() const + 0x54 (0x20ca4e4 in ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor) frame #3: c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >) + 0x57 (0x20ca9a7 in ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor) frame #4: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x7a (0x20c823a in ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor) frame #5: caffe2::serialize::FileAdapter::RAIIFile::RAIIFile(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x96 (0x206f3d6 in ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor) frame #6: caffe2::serialize::FileAdapter::FileAdapter(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x42 (0x206f502 in ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor) frame #7: torch::jit::_load_for_mobile(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>, std::unordered_map<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::hash<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::equal_to<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > >, std::allocator<std::pair<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > > >&) + 0x30 (0x1be826c in ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor) frame #8: torch::jit::_load_for_mobile(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, c10::optional<c10::Device>) + 0x35 (0x1be8214 in ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor) frame #9: benchmark(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, bool, int, int, int, bool, int, bool, int, double, bool, bool, bool, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&) + 0x16d (0x12093ad in ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor) frame #10: main + 0x25c (0x11f933c in ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor) frame #11: __libc_start_main + 0x105 (0x7fc7b9f2ed95 in /usr/local/fbcode/platform009/lib/libc.so.6) frame #12: _start + 0x2a (0x11f902a in ./buck-out/gen/xplat/caffe2/fb/lite_predictor/lite_predictor) Aborted (core dumped) ```` Reviewed By: dhruvbird Differential Revision: D30135947 fbshipit-source-id: f50c634ef4545843305cad4b4a14a8776b1aec76
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