apeforest commented on issue #16079: Test large vector mean operator and fix a few bugs URL: https://github.com/apache/incubator-mxnet/pull/16079#issuecomment-528128843 @access2rohit My test test_mean runs through. However, test_sequence_last seems to run out of memory on an instance with 480G memory. test_large_vector.test_slice ... ok test_large_vector.test_ndarray_zeros ... ok test_large_vector.test_ndarray_ones ... ok test_large_vector.test_ndarray_random_uniform ... ok test_large_vector.test_ndarray_random_randint ... ok test_large_vector.test_ndarray_empty ... ok test_large_vector.test_elementwise ... ok test_large_vector.test_clip ... ok test_large_vector.test_argmin ... ok test_large_vector.test_take ... ok test_large_vector.test_slice_assign ... ok test_large_vector.test_expand_dims ... ok test_large_vector.test_squeeze ... ok test_large_vector.test_broadcast_div ... ok test_large_vector.test_Dense ... ok test_large_vector.test_argsort ... ok test_large_vector.test_sort ... ok test_large_vector.test_topk ... ok test_large_vector.test_mean ... ok test_large_vector.test_ndarray_random_exponential ... ok test_large_vector.test_ndarray_random_gamma ... ok test_large_vector.test_ndarray_random_generalized_negative_binomial ... ok test_large_vector.test_ndarray_random_multinomial ... ok test_large_vector.test_ndarray_random_negative_binomial ... ok test_large_vector.test_ndarray_random_normal ... ok test_large_vector.test_ndarray_random_poisson ... ok test_large_vector.test_ndarray_random_randn ... ok test_large_vector.test_ndarray_random_shuffle ... ok test_large_vector.test_exponent_logarithm_operators ... ok test_large_vector.test_power_operators ... ok test_large_vector.test_sequence_mask ... ok test_large_vector.test_sequence_reverse ... ok test_large_vector.test_sequence_last ... Segmentation fault: 11 Segmentation fault: 11 Stack trace: [bt] (0) /home/ubuntu/src/mxnet/python/mxnet/../../build/libmxnet.so(+0x8f96a9) [0x7fc345d596a9] [bt] (1) /lib/x86_64-linux-gnu/libc.so.6(+0x354b0) [0x7fc366cc94b0] [bt] (2) /home/ubuntu/src/mxnet/python/mxnet/../../build/libmxnet.so(+0x1909334) [0x7fc346d69334] [bt] (3) /usr/lib/x86_64-linux-gnu/libgomp.so.1(+0xf43e) [0x7fc352a0543e] [bt] (4) /lib/x86_64-linux-gnu/libpthread.so.0(+0x76ba) [0x7fc3670656ba] [bt] (5) /lib/x86_64-linux-gnu/libc.so.6(clone+0x6d) [0x7fc366d9b41d] Stack trace: [bt] (0) /home/ubuntu/src/mxnet/python/mxnet/../../build/libmxnet.so(+0x8f96a9) [0x7fc345d596a9] [bt] (1) /lib/x86_64-linux-gnu/libc.so.6(+0x354b0) [0x7fc366cc94b0] [bt] (2) /home/ubuntu/src/mxnet/python/mxnet/../../build/libmxnet.so(+0x1909334) [0x7fc346d69334] [bt] (3) /usr/lib/x86_64-linux-gnu/libgomp.so.1(GOMP_parallel+0x3f) [0x7fc352a01cbf] [bt] (4) /home/ubuntu/src/mxnet/python/mxnet/../../build/libmxnet.so(mxnet::op::SequenceLastOp<mshadow::cpu, float, float>::Forward(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&, std::vector<mxnet::TBlob, std::allocator<mxnet::TBlob> > const&)+0x50b) [0x7fc346d8838b] [bt] (5) /home/ubuntu/src/mxnet/python/mxnet/../../build/libmxnet.so(mxnet::op::OperatorState::Forward(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&)+0xab0) [0x7fc345eca990] [bt] (6) /home/ubuntu/src/mxnet/python/mxnet/../../build/libmxnet.so(mxnet::imperative::PushOperator(mxnet::OpStatePtr 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&, mxnet::DispatchMode)::{lambda(mxnet::RunContext, mxnet::engine::CallbackOnComplete)#3}::operator()(mxnet::RunContext, mxnet::engine::CallbackOnComplete) const+0x2aa) [0x7fc345d5241a] [bt] (7) /home/ubuntu/src/mxnet/python/mxnet/../../build/libmxnet.so(std::_Function_handler<void (mxnet::RunContext), mxnet::imperative::PushOperator(mxnet::OpStatePtr 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&, mxnet::DispatchMode)::{lambda(mxnet::RunContext)#4}>::_M_invoke(std::_Any_data const&, mxnet::RunContext&&)+0x1d) [0x7fc345d533ed] [bt] (8) /home/ubuntu/src/mxnet/python/mxnet/../../build/libmxnet.so(+0x84c3de) [0x7fc345cac3de]
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