Marco de Abreu created MXNET-60:
-----------------------------------

             Summary: MXNET_MKLDNN_DEBUG=1 produces errors
                 Key: MXNET-60
                 URL: https://issues.apache.org/jira/browse/MXNET-60
             Project: Apache MXNet
          Issue Type: Bug
            Reporter: Marco de Abreu


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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        )

      )

    )

    (8): GlobalAvgPool2D(size=(1, 1), stride=(1, 1), padding=(0, 0), 
ceil_mode=True)

  )

  (output): Dense(512 -> 1000, linear)

)



--------------------- >> 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 << ---------------------
```






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