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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/03/06 21:26:36 UTC
[GitHub] [incubator-mxnet] anirudhacharya edited a comment on issue #9166:
Segfault on ndarray with negative dimension i.e. mxnet.nx.zeros((-1, ))
anirudhacharya edited a comment on issue #9166: Segfault on ndarray with negative dimension i.e. mxnet.nx.zeros((-1,))
URL: https://github.com/apache/incubator-mxnet/issues/9166#issuecomment-470283142
with the latest version of mxnet, the above command neither causes core dump or Segmentation fault.
When I try to pass `-1` as shape in python2 and python3, I get the following stack trace.
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/ndarray/utils.py", line 67, in zeros
return _zeros_ndarray(shape, ctx, dtype, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/ndarray/ndarray.py", line 3822, in zeros
return _internal._zeros(shape=shape, ctx=ctx, dtype=dtype, **kwargs)
File "<string>", line 34, in _zeros
File "/usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/_ctypes/ndarray.py", line 92, in _imperative_invoke
ctypes.byref(out_stypes)))
File "/usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/base.py", line 252, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [21:21:58] src/storage/./cpu_device_storage.h:74: Failed to allocate CPU Memory
Stack trace returned 10 entries:
[bt] (0) /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so(dmlc::StackTrace[abi:cxx11]()+0x1bc) [0x7f761aea978c]
[bt] (1) /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so(dmlc::LogMessageFatal::~LogMessageFatal()+0x28) [0x7f761aeaab08]
[bt] (2) /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so(+0x396d71d) [0x7f761e26e71d]
[bt] (3) /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so(mxnet::storage::NaiveStorageManager<mxnet::storage::CPUDeviceStorage>::Alloc(mxnet::Storage::Handle*)+0xd) [0x7f761e26e74d]
[bt] (4) /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so(mxnet::StorageImpl::Alloc(mxnet::Storage::Handle*)+0x5b) [0x7f761e269efb]
[bt] (5) /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so(mxnet::NDArray::CheckAndAlloc() const+0x98d) [0x7f761aeab59d]
[bt] (6) /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so(mxnet::imperative::PushFCompute(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&)> 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<unsigned int, std::allocator<unsigned int> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&)::{lambda(mxnet::RunContext)#1}::operator()(mxnet::RunContext) const+0xd88) [0x7f761db1a308]
[bt] (7) /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so(std::_Function_handler<void (mxnet::RunContext), mxnet::imperative::PushFCompute(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&)> 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<unsigned int, std::allocator<unsigned int> > const&, std::vector<mxnet::OpReqType, std::allocator<mxnet::OpReqType> > const&)::{lambda(mxnet::RunContext)#1}>::_M_invoke(std::_Any_data const&, mxnet::RunContext&&)+0x17) [0x7f761db1a9c7]
[bt] (8) /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so(std::_Function_handler<void (mxnet::RunContext, mxnet::engine::CallbackOnComplete), mxnet::Engine::PushSync(std::function<void (mxnet::RunContext)>, mxnet::Context, std::vector<mxnet::engine::Var*, std::allocator<mxnet::engine::Var*> > const&, std::vector<mxnet::engine::Var*, std::allocator<mxnet::engine::Var*> > const&, mxnet::FnProperty, int, char const*)::{lambda(mxnet::RunContext, mxnet::engine::CallbackOnComplete)#1}>::_M_invoke(std::_Any_data const&, mxnet::RunContext&&, mxnet::engine::CallbackOnComplete&&)+0x5e) [0x7f761da9eb8e]
[bt] (9) /usr/local/lib/python2.7/dist-packages/mxnet-1.5.0-py2.7.egg/mxnet/libmxnet.so(mxnet::engine::NaiveEngine::PushAsync(std::function<void (mxnet::RunContext, mxnet::engine::CallbackOnComplete)>, mxnet::Context, std::vector<mxnet::engine::Var*, std::allocator<mxnet::engine::Var*> > const&, std::vector<mxnet::engine::Var*, std::allocator<mxnet::engine::Var*> > const&, mxnet::FnProperty, int, char const*, bool)+0x20c) [0x7f761e24393c]
```
Based on this, I think this issue can be closed.
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