memory issue when cudnn is found

[Gjain234]

I've looked through the older issues but still can't seem to figure this out. I am trying to install openpose and am fairly sure I am using CUDNN because making on CMake gives this summary.

-- GCC detected, adding compile flags
-- Building with CUDA.
-- CUDA detected: 8.0
-- Found cuDNN: ver. 5.1.10 found (include: /usr/local/cuda/include, library: /usr/local/cuda/lib64/libcudnn.so)
-- Added CUDA NVCC flags for: sm_50
-- Found cuDNN: ver. 5.1.10 found (include: /usr/local/cuda/include, library: /usr/local/cuda/lib64/libcudnn.so)
-- Found gflags (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so)
-- Found glog (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so)
-- Caffe will be downloaded from source now. NOTE: This process might take several minutes depending
on your internet connection.
-- Caffe has already been downloaded.

However, when I build openpose using 'make -jnproc', the caffe configuration summary shows this:

General:
-- Version : 1.0.0
-- Git : 1.0-112-g9453eb0-dirty
-- System : Linux
-- C++ compiler : /usr/bin/c++
-- Release CXX flags : -O3 -DNDEBUG -fPIC -Wall -Wno-sign-compare -Wno-uninitialized
-- Debug CXX flags : -g -fPIC -Wall -Wno-sign-compare -Wno-uninitialized
-- Build type : Release

-- BUILD_SHARED_LIBS : ON
-- BUILD_python : OFF
-- BUILD_matlab : OFF
-- BUILD_docs : OFF
-- CPU_ONLY : OFF
-- USE_OPENCV : OFF
-- USE_LEVELDB : OFF
-- USE_LMDB : OFF
-- USE_NCCL : OFF
-- ALLOW_LMDB_NOLOCK : OFF

-- Dependencies:
-- BLAS : Yes (Atlas)
-- Boost : Yes (ver. 1.58)
-- glog : Yes
-- gflags : Yes
-- protobuf : Yes (ver. 2.6.1)
-- CUDA : Yes (ver. 8.0)

-- NVIDIA CUDA:
-- Target GPU(s) : Auto
-- GPU arch(s) : sm_50
-- cuDNN : Not found

-- Install:
-- Install path : /home/il/software/openpose/build/caffe

This summary seems to say that cuDNN was not found, and I get the same failure message (Check failed: error == cudaSuccess (2 vs. 0) out of memory) when I run any of the commands in the openpose quickstart section. Any ideas why there is the discrepancy about the cudnn being found?

[gineshidalgo99]

Use OpenPose, this repo is no longer maintained