[GitHub] [incubator-mxnet] Heermosi opened a new issue #16651: I'm sorry I've triggered an error in mxnet source code, how can I debug it? It seems like a check failure on custom operators, how can I find more details?

[GitBox <gi...@apache.org>]

Heermosi opened a new issue #16651: I'm sorry I've triggered an error in mxnet source code, how can I debug it? It seems like a check failure on custom operators, how can I find more details?
URL: https://github.com/apache/incubator-mxnet/issues/16651
 
 
   So far I'm working in linux dockers, the mxnet was built from source code
   When I was running RoITransformer project with fpn training, the following error emerged.
   >   File "experiments/fpn/fpn_end2end_train_test_RoITransformer.py", line 21, in <            module>
   >     train_end2end_rotbox_RoITransformer.main()
   >   File "experiments/fpn/../../fpn/train_end2end_rotbox_RoITransformer.py", line             188, in main
   >     config.TRAIN.begin_epoch, config.TRAIN.end_epoch, config.TRAIN.lr, config.TR            AIN.lr_step)
   >   File "experiments/fpn/../../fpn/train_end2end_rotbox_RoITransformer.py", line             181, in train_net
   >     arg_params=arg_params, aux_params=aux_params, begin_epoch=begin_epoch, num_e            poch=end_epoch)
   >   File "experiments/fpn/../../fpn/core/module.py", line 989, in fit
   >     self.update_metric(eval_metric, data_batch.label)
   >   File "experiments/fpn/../../fpn/core/module.py", line 1081, in update_metric
   >     self._curr_module.update_metric(eval_metric, labels)
   >   File "experiments/fpn/../../fpn/core/module.py", line 672, in update_metric
   >     self._exec_group.update_metric(eval_metric, labels)
   >   File "experiments/fpn/../../fpn/core/DataParallelExecutorGroup.py", line 481,             in update_metric
   >     eval_metric.update(labels, texec.outputs)
   >   File "/usr/local/lib/python2.7/site-packages/mxnet-1.6.0-py2.7.egg/mxnet/metri            c.py", line 364, in update
   >     metric.update(labels, preds)
   >   File "experiments/fpn/../../fpn/core/metric.py", line 53, in update
   >     pred_label = mx.ndarray.argmax_channel(pred).asnumpy().astype('int32')
   >   File "/usr/local/lib/python2.7/site-packages/mxnet-1.6.0-py2.7.egg/mxnet/ndarr            ay/ndarray.py", line 2506, in asnumpy
   >     ctypes.c_size_t(data.size)))
   >   File "/usr/local/lib/python2.7/site-packages/mxnet-1.6.0-py2.7.egg/mxnet/base.            py", line 254, in check_call
   >     raise MXNetError(py_str(_LIB.MXGetLastError()))
   > mxnet.base.MXNetError: [13:42:48] src/operator/custom/custom.cc:417: Check faile            d: reinterpret_cast<CustomOpFBFunc>(params.info->callbacks[kCustomOpBackward])(             ptrs.size(), const_cast<void**>(ptrs.data()), const_cast<int*>(tags.data()), rei            nterpret_cast<const int*>(req.data()), static_cast<int>(ctx.is_train), params.in            fo->contexts[kCustomOpBackward]):
   > Stack trace:
   >   [bt] (0) /usr/local/lib/python2.7/site-packages/mxnet-1.6.0-py2.7.egg/mxnet/li            bmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x43) [0x7fd12dfa0133]
   >   [bt] (1) /usr/local/lib/python2.7/site-packages/mxnet-1.6.0-py2.7.egg/mxnet/li            bmxnet.so(+0x16d265f) [0x7fd12e65365f]
   >   [bt] (2) /usr/local/lib/python2.7/site-packages/mxnet-1.6.0-py2.7.egg/mxnet/li            bmxnet.so(+0x16db4f9) [0x7fd12e65c4f9]
   >   [bt] (3) /usr/local/lib/python2.7/site-packages/mxnet-1.6.0-py2.7.egg/mxnet/li            bmxnet.so(std::thread::_State_impl<std::thread::_Invoker<std::tuple<mxnet::op::c            ustom::CustomOperator::SetNumThreads(int)::{lambda()#1}> > >::_M_run()+0xde) [0x            7fd12e66305e]
   >   [bt] (4) /usr/lib/x86_64-linux-gnu/libstdc++.so.6(+0xbd66f) [0x7fd174e7866f]
   >   [bt] (5) /lib/x86_64-linux-gnu/libpthread.so.0(+0x76db) [0x7fd17b9786db]
   >   [bt] (6) /lib/x86_64-linux-gnu/libc.so.6(clone+0x3f) [0x7fd17aefc88f]
   > 
   I've viewed the source code mentioned above, it looks like this:
   
   `
     CustomOperator::Get()->Push(
       [=]() {
         CHECK(reinterpret_cast<CustomOpFBFunc>(params.info->callbacks[kCustomOpBackward])(
           ptrs.size(), const_cast<void**>(ptrs.data()), const_cast<int*>(tags.data()),
           reinterpret_cast<const int*>(req.data()), static_cast<int>(ctx.is_train),
           params.info->contexts[kCustomOpBackward]));
       }, ctx, false, ctx.is_train, cpys, tags, output_tags, outputs, "_backward_" + params.op_type);
   `
   I cannot figure out what does this mean or which custom operator caused this.
   Can any one give an advice on how to debug this???
   

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