[MXNET-60] MXNET_MKLDNN_DEBUG=1 produces errors

• Type: Bug
• Status: To Do
• Priority: Major
• Resolution: Unresolved
• Assignee: Unassigned
• Reporter: Marco de Abreu
• Created: 08/Mar/18 11:01
• Updated: 12/Apr/18 16:13

Description

http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/PR-9995/32/pipeline/483

Setting ``MXNET_MKLDNN_DEBUG=1`` as environment variable will produce the following error in tests. This happens across all configurations and seeds. I do not think that this is a test failure.

 

======================================================================
ERROR: test_gluon_model_zoo.test_models
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/work/mxnet/tests/python/unittest/common.py", line 157, in test_new
orig_test(*args, **kwargs)
File "/work/mxnet/tests/python/unittest/test_gluon_model_zoo.py", line 50, in test_models
model(mx.nd.random.uniform(shape=data_shape)).wait_to_read()
File "/work/mxnet/python/mxnet/ndarray/ndarray.py", line 1650, in wait_to_read
check_call(_LIB.MXNDArrayWaitToRead(self.handle))
File "/work/mxnet/python/mxnet/base.py", line 149, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
MXNetError: [17:10:12] src/operator/nn/mkldnn/mkldnn_base.cc:395: Check failed: similar
Stack trace returned 10 entries:
[bt] (0) /work/mxnet/python/mxnet/../../lib/libmxnet.so(dmlc::StackTrace[abi:cxx11]()+0x5b) [0x7f06ccf3745b]
[bt] (1) /work/mxnet/python/mxnet/../../lib/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x28) [0x7f06ccf38478]
[bt] (2) /work/mxnet/python/mxnet/../../lib/libmxnet.so(mxnet::OpCheck::Run(std::function<void (nnvm::NodeAttrs const&, mxnet::OpContext const&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&)>, nnvm::NodeAttrs const&, mxnet::OpContext const&, std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&, std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&)+0x3ca8) [0x7f06ccf54198]
[bt] (3) /work/mxnet/python/mxnet/../../lib/libmxnet.so(+0x2a910d9) [0x7f06cf55a0d9]
[bt] (4) /work/mxnet/python/mxnet/../../lib/libmxnet.so(std::_Function_handler<void (mxnet::RunContext), mxnet::imperative::PushFComputeEx(std::function<void (nnvm::NodeAttrs const&, mxnet::OpContext const&, std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&, std::vector<mxnet::NDArray, std::allocator<mxnet::NDArray> > const&)> const&, nnvm::Op const*, nnvm::NodeAttrs const&, mxnet::Context const&, std::vector<mxnet::engine::Var*, std::allocator<mxnet::engine::Var*> > const&, std::vector<mxnet::engine::Var*, std::allocator<mxnet::engine::Var*> > const&, std::vector<mxnet::Resource, std::allocator<mxnet::Resource> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::NDArray*, std::allocator<mxnet::NDArray*> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&)::
{lambda(mxnet::RunContext)#1}
>::_M_invoke(std::_Any_data const&, mxnet::RunContext&&)+0x7c) [0x7f06cf77608c]
[bt] (5) /work/mxnet/python/mxnet/../../lib/libmxnet.so(+0x3148fdb) [0x7f06cfc11fdb]
[bt] (6) /work/mxnet/python/mxnet/../../lib/libmxnet.so(mxnet::engine::ThreadedEngine::ExecuteOprBlock(mxnet::RunContext, mxnet::engine::OprBlock*)+0xcb5) [0x7f06cfc0b1a5]
[bt] (7) /work/mxnet/python/mxnet/../../lib/libmxnet.so(std::_Function_handler<void (std::shared_ptr<dmlc::ManualEvent>), mxnet::engine::ThreadedEnginePerDevice::PushToExecute(mxnet::engine::OprBlock*, bool)::
{lambda()#1}
::operator()() const::
{lambda(std::shared_ptr<dmlc::ManualEvent>)#1}
>::_M_invoke(std::_Any_data const&, std::shared_ptr<dmlc::ManualEvent>&&)+0xd9) [0x7f06cfc1d309]
[bt] (8) /work/mxnet/python/mxnet/../../lib/libmxnet.so(std::thread::_Impl<std::_Bind_simple<std::function<void (std::shared_ptr<dmlc::ManualEvent>)> (std::shared_ptr<dmlc::ManualEvent>)> >::_M_run()+0x4a) [0x7f06cfc1c43a]
[bt] (9) /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xb8c80) [0x7f06d7ca4c80]
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--------------------- >> end captured stdout << ----------------------
-------------------- >> begin captured logging << --------------------
common: INFO: Setting module np/mx/python random seeds, use MXNET_MODULE_SEED=1825457337 to reproduce.
common: INFO: Setting test np/mx/python random seeds, use MXNET_TEST_SEED=1579343143 to reproduce.
--------------------- >> end captured logging << ---------------------

Issue Links

• links to: GitHub Pull Request #10069