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OpenBLAS doesn't support multi thread application #7234

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tonyyang-svail opened this issue Jan 5, 2018 · 8 comments
Closed

OpenBLAS doesn't support multi thread application #7234

tonyyang-svail opened this issue Jan 5, 2018 · 8 comments
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@tonyyang-svail
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During the implementation of data parallelism, we found concurrent calls on OpenBLAS results in a crash without error messages. This issue has been discussed in the official FAQ here.

OpenBLAS usually gets its thread count from OMP_NUM_THREADS. So we decided to set the default OMP_NUM_THREADS to one. And print warnings if the user decides to set OMP_NUM_THREADS > 1.

@tonyyang-svail
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Fixed at #7208.

@luotao1
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luotao1 commented Jan 5, 2018

@tonyyang-svail @reyoung

we found concurrent calls on OpenBLAS results in a crash without error messages

Do you have a crash log about it?

OpenBLAS usually gets its thread count from OMP_NUM_THREADS

This is not totally correct. In FAQ, it uses OPENBLAS_NUM_THREADS not OMP_NUM_THREADS.

And print warnings if the user decides to set OMP_NUM_THREADS > 1

OPENBLAS_NUM_THREADS = cpu cores / trainer_count

So if CPU cores is larger than trainer_count, using OPENBLAS_NUM_THREADS=1 will not fully use the power of CPU. #7208 (comment)

Besides, it will also effect MKL.

if (WITH_MKLML AND MKLML_IOMP_LIB)
message(STATUS "Enable Intel OpenMP with ${MKLML_IOMP_LIB}")
set(OPENMP_FLAGS "-fopenmp")

@tonyyang-svail
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Crash log:

Process:               Python [1384]
Path:                  /usr/local/Cellar/python/2.7.14/Frameworks/Python.framework/Versions/2.7/Resources/Python.app/Contents/MacOS/Python
Identifier:            Python
Version:               2.7.14 (2.7.14)
Code Type:             X86-64 (Native)
Parent Process:        clion [324]
Responsible:           Python [1384]
User ID:               503

Date/Time:             2018-01-05 15:37:44.367 +0800
OS Version:            Mac OS X 10.12.6 (16G29)
Report Version:        12
Anonymous UUID:        20C53EA4-EC54-CE08-DCDB-00207F63E314


Time Awake Since Boot: 4200 seconds

System Integrity Protection: enabled

Crashed Thread:        5

Exception Type:        EXC_BAD_ACCESS (SIGBUS)
Exception Codes:       KERN_PROTECTION_FAILURE at 0x0000700000cae270
Exception Note:        EXC_CORPSE_NOTIFY

Termination Signal:    Bus error: 10
Termination Reason:    Namespace SIGNAL, Code 0xa
Terminating Process:   exc handler [0]

VM Regions Near 0x700000cae270:
    Stack                  0000700000c2c000-0000700000cae000 [  520K] rw-/rwx SM=COW  thread 5
--> Stack Guard            0000700000cae000-0000700000caf000 [    4K] ---/rwx SM=NUL  
    Stack                  0000700000caf000-0000700000d31000 [  520K] rw-/rwx SM=COW  

Thread 0:: Dispatch queue: com.apple.main-thread
0   libsystem_kernel.dylib        	0x00007fffda981f46 __semwait_signal + 10
1   libsystem_pthread.dylib       	0x00007fffdaa6e6e5 pthread_join + 425
2   libc++.1.dylib                	0x00007fffd942b4b7 std::__1::thread::join() + 23
3   core.so                       	0x0000000111f54ed2 paddle::operators::ParallelDoOp::Run(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace> const&) const + 5682 (parallel_do_op.cc:108)
4   core.so                       	0x00000001116724c1 paddle::framework::Executor::Run(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool) + 5873 (executor.cc:115)
5   core.so                       	0x000000011154a9e2 pybind11::cpp_function::cpp_function<void, paddle::framework::Executor, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool, pybind11::name, pybind11::is_method, pybind11::sibling>(void (paddle::framework::Executor::*)(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(paddle::framework::Executor*, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool)::operator()(paddle::framework::Executor*, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool) const + 194 (pybind11.h:69)
6   core.so                       	0x000000011154a908 pybind11::detail::argument_loader<paddle::framework::Executor*, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool>::call_impl<void, pybind11::cpp_function::cpp_function<void, paddle::framework::Executor, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool, pybind11::name, pybind11::is_method, pybind11::sibling>(void (paddle::framework::Executor::*)(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(paddle::framework::Executor*, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool)&, 0ul, 1ul, 2ul, 3ul, 4ul, 5ul>(void, paddle::framework::Executor&&, pybind11::detail::index_sequence<0ul, 1ul, 2ul, 3ul, 4ul, 5ul>) + 376 (cast.h:1411)
7   core.so                       	0x0000000111549b85 pybind11::detail::argument_loader<paddle::framework::Executor*, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool>::call<void, pybind11::cpp_function::cpp_function<void, paddle::framework::Executor, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool, pybind11::name, pybind11::is_method, pybind11::sibling>(void (paddle::framework::Executor::*)(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool), pybind11::name const&, pybind11::is_method const&, pybind11::sibling const&)::'lambda'(paddle::framework::Executor*, paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool)&>(std::__1::enable_if<std::is_void<void>::value, pybind11::detail::void_type>::type, paddle::framework::Executor&&) + 37 (cast.h:1394)
8   core.so                       	0x0000000111549a7b _ZZN8pybind1112cpp_function10initializeIZNS0_C1IvN6paddle9framework8ExecutorEJRKNS4_11ProgramDescEPNS4_5ScopeEibbEJNS_4nameENS_9is_methodENS_7siblingEEEEMT0_FT_DpT1_EDpRKT2_EUlPS5_S8_SA_ibbE_vJSO_S8_SA_ibbEJSB_SC_SD_EEEvOSF_PFSE_SH_ESN_ENKUlRNS_6detail13function_callEE_clESV_ + 235 (pybind11.h:147)
9   core.so                       	0x0000000111549978 _ZZN8pybind1112cpp_function10initializeIZNS0_C1IvN6paddle9framework8ExecutorEJRKNS4_11ProgramDescEPNS4_5ScopeEibbEJNS_4nameENS_9is_methodENS_7siblingEEEEMT0_FT_DpT1_EDpRKT2_EUlPS5_S8_SA_ibbE_vJSO_S8_SA_ibbEJSB_SC_SD_EEEvOSF_PFSE_SH_ESN_ENUlRNS_6detail13function_callEE_8__invokeESV_ + 24 (pybind11.h:128)
10  core.so                       	0x00000001114bcdde pybind11::cpp_function::dispatcher(_object*, _object*, _object*) + 5838 (pybind11.h:558)
11  org.python.python             	0x000000010151b2d7 PyEval_EvalFrameEx + 11724
12  org.python.python             	0x00000001015182fe PyEval_EvalCodeEx + 1631
13  org.python.python             	0x000000010152175c fast_function + 298
14  org.python.python             	0x000000010151b10d PyEval_EvalFrameEx + 11266
15  org.python.python             	0x00000001015182fe PyEval_EvalCodeEx + 1631
16  org.python.python             	0x0000000101517c99 PyEval_EvalCode + 32
17  org.python.python             	0x000000010153a6b2 run_mod + 49
18  org.python.python             	0x000000010153a760 PyRun_FileExFlags + 130
19  org.python.python             	0x000000010153a292 PyRun_SimpleFileExFlags + 714
20  org.python.python             	0x000000010154b8f7 Py_Main + 3067
21  libdyld.dylib                 	0x00007fffda853235 start + 1

Thread 1:
0   libsystem_kernel.dylib        	0x00007fffda98244e __workq_kernreturn + 10
1   libsystem_pthread.dylib       	0x00007fffdaa6c48e _pthread_wqthread + 1023
2   libsystem_pthread.dylib       	0x00007fffdaa6c07d start_wqthread + 13

Thread 2:
0   libsystem_kernel.dylib        	0x00007fffda98244e __workq_kernreturn + 10
1   libsystem_pthread.dylib       	0x00007fffdaa6c621 _pthread_wqthread + 1426
2   libsystem_pthread.dylib       	0x00007fffdaa6c07d start_wqthread + 13

Thread 3:
0   libsystem_kernel.dylib        	0x00007fffda98244e __workq_kernreturn + 10
1   libsystem_pthread.dylib       	0x00007fffdaa6c621 _pthread_wqthread + 1426
2   libsystem_pthread.dylib       	0x00007fffdaa6c07d start_wqthread + 13

Thread 4:
0   core.so                       	0x0000000112259ec0 sgemm_thread_nn + 928
1   ???                           	0x0000000119807000 0 + 4722814976

Thread 5 Crashed:
0   core.so                       	0x0000000112259ec0 sgemm_thread_nn + 928
1   core.so                       	0x0000000112256aa3 cblas_sgemm + 835
2   core.so                       	0x000000011222e385 void paddle::operators::math::gemm<paddle::platform::CPUDeviceContext, float>(paddle::platform::CPUDeviceContext const&, CBLAS_TRANSPOSE, CBLAS_TRANSPOSE, int, int, int, float, float const*, float const*, float, float*) + 229 (math_function.cc:34)
3   core.so                       	0x000000011222eec1 void paddle::operators::math::matmul<paddle::platform::CPUDeviceContext, float>(paddle::platform::CPUDeviceContext const&, paddle::framework::Tensor const&, bool, paddle::framework::Tensor const&, bool, float, paddle::framework::Tensor*, float) + 1953 (math_function.cc:95)
4   core.so                       	0x00000001120b56c9 paddle::operators::GemmConvKernel<paddle::platform::CPUDeviceContext, float>::Compute(paddle::framework::ExecutionContext const&) const + 6473 (conv_op.h:171)
5   core.so                       	0x00000001121f49be paddle::framework::OperatorWithKernel::Run(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace> const&) const + 7854 (operator.cc:478)
6   core.so                       	0x00000001116724c1 paddle::framework::Executor::Run(paddle::framework::ProgramDesc const&, paddle::framework::Scope*, int, bool, bool) + 5873 (executor.cc:115)
7   core.so                       	0x0000000111f5918e paddle::operators::ParallelDoOp::Run(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace> const&) const::'lambda'()::operator()() const + 126 (parallel_do_op.cc:103)
8   core.so                       	0x0000000111f58de5 void* std::__1::__thread_proxy<std::__1::tuple<std::__1::unique_ptr<std::__1::__thread_struct, std::__1::default_delete<std::__1::__thread_struct> >, paddle::operators::ParallelDoOp::Run(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace> const&) const::'lambda'()> >(void*) + 517 (type_traits:4291)
9   libsystem_pthread.dylib       	0x00007fffdaa6c93b _pthread_body + 180
10  libsystem_pthread.dylib       	0x00007fffdaa6c887 _pthread_start + 286
11  libsystem_pthread.dylib       	0x00007fffdaa6c08d thread_start + 13

Thread 5 crashed with X86 Thread State (64-bit):
  rax: 0x0000700000cae370  rbx: 0x000000011649b6d0  rcx: 0x0000700000cae2b0  rdx: 0x0000000000000001
  rdi: 0x0000000000000004  rsi: 0x0000700000cae370  rbp: 0x0000700000d2c2a0  rsp: 0x0000700000ca8db0
   r8: 0x0000000080000001   r9: 0x0000000000000004  r10: 0x000000011649b6d0  r11: 0x00000000ffffffff
  r12: 0x0000000000000004  r13: 0x0000000000000003  r14: 0x0000000000000000  r15: 0x0000000000000000
  rip: 0x0000000112259ec0  rfl: 0x0000000000010202  cr2: 0x0000700000cae270
  
Logical CPU:     6
Error Code:      0x00000006
Trap Number:     14


Binary Images:
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External Modification Summary:
  Calls made by other processes targeting this process:
    task_for_pid: 1
    thread_create: 0
    thread_set_state: 0
  Calls made by this process:
    task_for_pid: 0
    thread_create: 0
    thread_set_state: 0
  Calls made by all processes on this machine:
    task_for_pid: 292526
    thread_create: 0
    thread_set_state: 0

VM Region Summary:
ReadOnly portion of Libraries: Total=525.9M resident=0K(0%) swapped_out_or_unallocated=525.9M(100%)
Writable regions: Total=764.5M written=0K(0%) resident=0K(0%) swapped_out=0K(0%) unallocated=764.5M(100%)
 
                                VIRTUAL   REGION 
REGION TYPE                        SIZE    COUNT (non-coalesced) 
===========                     =======  ======= 
Dispatch continuations            16.0M        2 
Kernel Alloc Once                    8K        2 
MALLOC                           604.7M       32 
MALLOC guard page                   32K        7 
STACK GUARD                       56.0M        6 
Stack                             10.5M        7 
Stack Guard                          4K        2 
VM_ALLOCATE                       33.3M       79 
VM_ALLOCATE (reserved)            96.0M        3         reserved VM address space (unallocated)
__DATA                            28.9M      362 
__IMAGE                            528K        2 
__LINKEDIT                       179.8M      119 
__TEXT                           346.1M      338 
__UNICODE                          556K        2 
shared memory                       12K        4 
===========                     =======  ======= 
TOTAL                              1.3G      952 
TOTAL, minus reserved VM space     1.2G      952 

You can reproduce it at this branch tonyyang-svail:parallel_do_debug by running test_recognize_digits_conv.py.

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luotao1 commented Jan 5, 2018

@tonyyang-svail I encounter some error when compile tonyyang-svail:parallel_do_debug

/home/luotao02/Paddle/paddle/operators/parallel_do_op.cc: In member function ‘virtual void paddle::operators::ParallelDoOp::Run(const paddle::framework::Scope&, const Place&) const’:
/home/luotao02/Paddle/paddle/operators/parallel_do_op.cc:96:30: error: no match for ‘operator!=’ (operand types are ‘paddle::platform::Place {aka boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace>}’ and ‘boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace>’)
       if (dev_ctx.GetPlace() != place) {
                              ^
/home/luotao02/Paddle/paddle/operators/parallel_do_op.cc:96:30: note: candidate is:
In file included from /usr/include/boost/variant/variant.hpp:42:0,
                 from /usr/include/boost/variant.hpp:17,
                 from /home/luotao02/Paddle/paddle/platform/variant.h:47,
                 from /home/luotao02/Paddle/paddle/framework/type_defs.h:23,
                 from /home/luotao02/Paddle/paddle/framework/attribute.h:24,
                 from /home/luotao02/Paddle/paddle/framework/op_info.h:21,
                 from /home/luotao02/Paddle/paddle/framework/executor.h:17,
                 from /home/luotao02/Paddle/paddle/operators/parallel_do_op.cc:18:
/usr/include/boost/blank.hpp:73:13: note: bool boost::operator!=(const boost::blank&, const boost::blank&)
 inline bool operator!=(const blank&, const blank&)
             ^
/usr/include/boost/blank.hpp:73:13: note:   no known conversion for argument 1 from ‘paddle::platform::Place {aka boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace>}’ to ‘const boost::blank&’
make[2]: *** [paddle/operators/CMakeFiles/parallel_do_op.dir/parallel_do_op.cc.o] Error 1
make[1]: *** [paddle/operators/CMakeFiles/parallel_do_op.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs....
Linking CXX static library librecurrent_op.a
cpplint: Checking source code style
Done processing recurrent_op.cc
Total errors found: 0
[ 71%] Built target recurrent_op
make: *** [all] Error 2

@tonyyang-svail
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@luotao1 Please change dev_ctx.GetPlace() != place to !(dev_ctx.GetPlace() == place)

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luotao1 commented Jan 5, 2018

I can run successfully on the server when OMP_NUM_THREADS>1.

[luotao02@yq01-idl-gpu-jpaas-let01: build] tony -> $ export OMP_NUM_THREADS=2
[luotao02@yq01-idl-gpu-jpaas-let01: build] tony -> $ make test ARGS='-R test_recognize_digits_conv -V'
Running tests...
UpdateCTestConfiguration  from :/home/luotao02/Paddle/build/DartConfiguration.tcl
UpdateCTestConfiguration  from :/home/luotao02/Paddle/build/DartConfiguration.tcl
Test project /home/luotao02/Paddle/build
Constructing a list of tests
Done constructing a list of tests
Checking test dependency graph...
Checking test dependency graph end
test 281
    Start 281: test_recognize_digits_conv

281: Test command: /bin/env "PYTHONPATH=/home/luotao02/Paddle/build/python/build/lib-python" "/home/luotao02/.jumbo/bin/python2.7" "-u" "test_recognize_digits_conv.py"
281: Test timeout computed to be: 9.99988e+06
281: WARNING: OMP_NUM_THREADS set to 2, not 1. The computation speed will not be optimized if you use data parallel. It will fail if this PaddlePaddle binary is compiled with OpenBlas since OpenBlas does not support multi-threads.
281: PLEASE USE OMP_NUM_THREADS WISELY.
281: pass_id=0 acc=[ 0.14] pass_acc=[ 0.14]
281: pass_id=0 acc=[ 0.1] pass_acc=[ 0.12]
281: pass_id=0 acc=[ 0.23999999] pass_acc=[ 0.16]
281: pass_id=0 acc=[ 0.12] pass_acc=[ 0.15000001]

@tonyyang-svail
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@luotao1 which mul_op kernel are you using? please make sure it is the openBLAS kernel.

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luotao1 commented Jan 8, 2018

I use latest develop branch + tonyyang-svail:parallel_do_debug branch, and I am in openblas.

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