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I experienced strange cu DNN errors when approaching the memory limit of the GPU because workspaces could not be allocated, but that's obviously not the case with the tiny tiles you use, except, if you share the GPU and it was already almost fully occupied, but that would be coincidence and not reproducible.you could try which matched my local machine libraries.It should behave identical and hopefully produce a little more output.Two things look fishy: I rewrote the check for caffe_unet and caffe binary, maybe this helps already.

Can you try to execute exactly the same command in a shell?

I wanted to add a repo for creating a docker container anyways.

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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.

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