aravindhv10 opened a new issue #13437: Memory leak in c++ api URL: https://github.com/apache/incubator-mxnet/issues/13437 I am using the c++ api mxnet, I have attached the program. There seems to be significant memory leak due to the line "exec->Backward();", am I doing anything wrong (valgrind shows the memory leak is due to calls in opencv but I have not included or used any of the opencv functions here) ? (please check the attachment for the program "program.cpp") ## Description Memory leak when using c++ api. ## Environment info (Required) ``` ----------Python Info---------- ('Version :', '2.7.15') ('Compiler :', 'GCC 7.3.0') ('Build :', ('default', 'May 1 2018 05:55:50')) ('Arch :', ('64bit', 'ELF')) ------------Pip Info----------- ('Version :', '9.0.1') ('Directory :', '/usr/lib/python2.7/dist-packages/pip') ----------MXNet Info----------- ('Version :', '1.4.0') ('Directory :', '/usr/local/lib/python2.7/dist-packages/mxnet-1.4.0-py2.7.egg/mxnet') Hashtag not found. Not installed from pre-built package. ----------System Info---------- ('Platform :', 'Linux-4.16.0-2-amd64-x86_64-with-debian-buster-sid') ('system :', 'Linux') ('node :', 'mint') ('release :', '4.16.0-2-amd64') ('version :', '#1 SMP Debian 4.16.16-2 (2018-06-22)') ----------Hardware Info---------- ('machine :', 'x86_64') ('processor :', '') Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 8 On-line CPU(s) list: 0-7 Thread(s) per core: 2 Core(s) per socket: 4 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 94 Model name: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz Stepping: 3 CPU MHz: 1756.210 CPU max MHz: 4000.0000 CPU min MHz: 800.0000 BogoMIPS: 6816.00 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 8192K NUMA node0 CPU(s): 0-7 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single pti ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp ----------Network Test---------- Setting timeout: 10 Timing for MXNet: https://github.com/apache/incubator-mxnet, DNS: 0.0327 sec, LOAD: 1.3881 sec. Timing for PYPI: https://pypi.python.org/pypi/pip, DNS: 0.0073 sec, LOAD: 1.7587 sec. Timing for FashionMNIST: https://apache-mxnet.s3-accelerate.dualstack.amazonaws.com/gluon/dataset/fashion-mnist/train-labels-idx1-ubyte.gz, DNS: 0.0299 sec, LOAD: 1.6151 sec. Timing for Conda: https://repo.continuum.io/pkgs/free/, DNS: 0.0663 sec, LOAD: 0.4510 sec. Timing for Gluon Tutorial(en): http://gluon.mxnet.io, DNS: 0.0650 sec, LOAD: 1.4747 sec. Timing for Gluon Tutorial(cn): https://zh.gluon.ai, DNS: 0.0807 sec, LOAD: 1.1193 sec. ``` Package used (Python/R/Scala/Julia): c++ symbol api of mxnet. ## Build info (Required if built from source) Compiler (gcc/clang/mingw/visual studio): GCC 7.3.0 MXNet commit hash: (Paste the output of `git rev-parse HEAD` here.) cb627bcaccc127a00ab035a2a3006e5cbb6d501d Build config: (Paste the content of config.mk, or the build command.) make USE_MKLDNN=1 USE_OPENCV=1 USE_OPENMP=1 USE_GPERFTOOLS=1 USE_CPP_PACKAGE=1 USE_LAPACK=1 USE_BLAS=mkl -j6 ## Error Message: memory leak (please check attachment "valgring.log" inside the tar file [attach.tar.gz](https://github.com/apache/incubator-mxnet/files/2624877/attach.tar.gz) ) ## Minimum reproducible example I used the program I have paster above. ## Steps to reproduce compile the above program inside "cpp-package/example" folder and run. ## What have you tried to solve it? No idea where memory is leaking except it is happening in the step "exec->Backward();"
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