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Running the same command in shell indeed gave the trackback and indicated where the error occured: I0211 .216090 11284 caffe_unet.cpp:172] Checking model /home/daveb/Downloads/caffemodels/2d_cell_net_v0.modeldef.h5 and weights /home/daveb/Downloads/2d_cell_net_v0.caffemodel.h5 I0211 .216384 11284 caffe_unet.cpp:179] Use GPU with device ID 0 I0211 .259383 11284 caffe_unet.cpp:183] GPU device name: Ge Force RTX 2080 I0211 .619424 11284 caffe_unet.cpp:201] Reading unet ID from '/home/daveb/Downloads/caffemodels/2d_cell_net_v0.modeldef.h5' I0211 .619828 11284 caffe_unet.cpp:205] unet ID (model) = '2d_cell_net_v0' I0211 .620268 11284 caffe_unet.cpp:240] Reading unet ID from '/home/daveb/Downloads/2d_cell_net_v0.caffemodel.h5' I0211 .620470 11284 caffe_unet.cpp:271] '/home/daveb/Downloads/2d_cell_net_v0.caffemodel.h5' does not contain '/.unet_ident' ....(model information omitted) F0211 .635483 11284 cudnn_conv_layer.cu:28] Check failed: status == CUDNN_STATUS_SUCCESS (8 vs.0) CUDNN_STATUS_EXECUTION_FAILED *** Check failure stack trace: *** @ 0x7ff60dd8c0cd google:: Log Message:: Fail() @ 0x7ff60dd8df33 google:: Log Message:: Send To Log() @ 0x7ff60dd8bc28 google:: Log Message:: Flush() @ 0x7ff60dd8e999 google:: Log Message Fatal::~Log Message Fatal() @ 0x7ff60e584a9b caffe:: Cu DNNConvolution Layer:: Forward() @ 0x56119bd64785 check_model_and_weights_h5() @ 0x56119bd60f20 main @ 0x7ff60c3a9b97 __libc_start_main @ 0x56119bd6189a _start Aborted (core dumped) I'm using specifically cu DNN 7.1.4. Previously we have a project which uses tensorflow, and similar weird cu DNN error occurs. Here is the output form plugin built from the latest commit: $ caffe_unet Setting caffe_unet binary path to caffe_unet Searching for /home/daveb/unet-seg/bin/caffe_unet $ /home/daveb/unet-seg/bin/caffe_unet $ caffe_unet check_model_and_weights_h5 -model /home/daveb/Downloads/caffemodels/2d_cell_net_v0.modeldef.h5 -weights /home/daveb/Downloads/caffemodels/2d_cell_net_v0.caffemodel.h5 -n_channels 1 -gpu 0 Model/Weight check failed: See log for further details U-Net job aborted Our tarball has been built with cuda 9.2 with associated cu DNN 7.4.1.5, so there might indeed be version issues.I just tried in a virtual environment with your setup and configuration went through without errors. Your gcc/g version is unusual for Ubuntu 18.04, shouldn't it be 7?The rest of your output is identical to mine (besides that I'm lacking the error message). Jay Stubblefield bestowed the University’s prestigious Houston Award for Excellence in Teaching on Professor Joe Gill during the LMU Faculty and Staff Conference. Frank White Academy (JFWA), located on the campus of Lincoln Memorial University (LMU), welcomed the inaugural classes of kindergarten through third graders to the newly renovated JFWA Lower School, located in Kresge Hall.Tickets are available now for the Lincoln Memorial University (LMU) Women of Service (WOS) Fashion Show scheduled for Thursday, August 22, at Tex Turner Arena on the LMU main campus in Harrogate, Tennessee. LMU senior conservation biology student Hana Hess conducted slime mold research in the lush tropical forests of Costa Rica this summer.

CMake Error at src/caffe/CMake Lists.txt:30 (target_compile_definitions): target_compile_definitions called with incorrect number of arguments -- Python interface is disabled or not all required dependencies found. -- Found Git: /usr/bin/git (found version "2.17.1") Caffe Configuration Summary -- General: -- Version : 1.0.0 -- Git : 1.0-132-g99bd9979-dirty -- System : Linux -- C compiler : /usr/bin/c -- Release CXX flags : -O3 -DNDEBUG -f PIC -Wall -Wno-sign-compare -Wno-uninitialized -- Debug CXX flags : -g -f PIC -Wall -Wno-sign-compare -Wno-uninitialized -- Build type : Release -- BUILD_SHARED_LIBS : ON -- BUILD_python : OFF -- BUILD_matlab : OFF -- BUILD_docs : ON -- CPU_ONLY : OFF -- USE_OPENCV : OFF -- USE_LEVELDB : OFF -- USE_LMDB : OFF -- USE_NCCL : OFF -- ALLOW_LMDB_NOLOCK : OFF -- USE_HDF5 : ON -- Dependencies: -- BLAS : Yes (Atlas) -- Boost : Yes (ver.We understand why you are blocking ads, but just know it compromises your site experience (features may break or not appear entirely) and prevents us from investing in the Future of Porn.Dear Thorsten, here I still have some issue in running the example. Installation and OS details: Build from source (using instructions from readme); local machine; Ubuntu 18.04 LTS, CUDA 9.0 Cu DNN 7 This is indeed very sparse output.The error occurs, when PUBLIC and PRIVATE flags are purged from the command line for nvcc.It looks like the DEFINITIONS are empty in this case, so that the replace command only sees two of the three required parameters.

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