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This can happen when an application was compiled by one version of HDF5 but linked with a different version of static or shared HDF5 library. You should recompile the application or check your shared library related settings such as 'LD_LIBRARY_PATH'. Setting it to 2 or higher will suppress the warning messages totally. Share Follow
Here is the part of the test cases that fails (some at the end are removed to reduce the question body length: [ FAILED ] 349 tests, listed below: [ FAILED ] …
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make: *** [runtest] Error 134 root@overo:/home/gumstix/caffe/native_caffe/caffe# Also I don't have a GPU, this should be CPU only. Below is the config from HDF5 (when I run …
1 test from MultiSoftmaxLossLayerTest/0, where TypeParam = caffe::FloatCPU [ RUN ] MultiSoftmaxLossLayerTest/0.TestGradient F0923 03:04:42.193163 26424 layer.hpp:362] …
Manually running the commands printed by make -n runtest didn't work, but copying the lib files from caffe/.build_release/lib to /usr/local/lib allowed me to run make …
So if I reinstall brew hdf5, and i rerun make runtest, i got the error: Warning! _HDF5 library version mismatched error_ The HDF5 header files used to compile this application do …
Hi, I have followed the instructions to install caffe including python interface and when I run make runtest it gets stuck (more than 10 hours wait on an i7 5960 with 32GB of …
Hi, Although there are some failed tests, we didn’t find any issue when inferencing with Caffe frameworks on Jetson. From your log, this issue is related to OpenMP.
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Caffe runtest Error : Check failed: error == cudaSuccess (8 vs. 0) invalid device function
We have found some Caffe unit test can’t pass on Jetson platform. But didn’t find any negative impact with Caffe until now. After checking your error message, most errors occur …
(checking nvidia-smi and nvcc --version, the driver and the cuda toolkit version can be recognized )
For some reason, I built HDF5-1.6.7 from source, and it passed make check without errors. Unfortunately, with h5py, 1.8.4 or newer is needed. Update: 1.8.4 passes test cache, but, …
BVLC,caffe | Caffe "make runtest" error
Stack Exchange Network. Stack Exchange network consists of 182 Q&A communities including Stack Overflow, the largest, most trusted online community for …
We install and run Caffe on Ubuntu 16.04–12.04, OS X 10.11–10.8, and through Docker and AWS. The official Makefile and Makefile.config build are complemented by a community CMake …
$ make runtest [ 1%] Built target proto [ 68%] Built target caffe [ 70%] Built target gtest [100%] Built target test.testbin Cuda number of devices: 0 Current device id: 0 Current …
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31 answers. The error you get is indeed out of memory, but it's not the RAM, but rather GPU memory (note that the error comes from CUDA). Usually, when caffe is out of memory - the …
Run caffe test suite. After the above docker run command completes, your shell will now be inside a docker container that has Caffe installed. You’ll want run the Caffe test …
Example. In addition to image classification datasets, Caffe also have "HDF5Data" layer for arbitrary inputs. This layer requires all training/validation data to be stored in hdf5 format files. …
Therefore, I´ve to install OpenMP, Eigen, CMake and HDF5. After compiling all these libraries with Cmake I finally got to the last step: Installing ParOSol. After giving all the commands needed in …
Install Caffe. With the official tool ‘make’. ‘cmake’ is provided by community and I met some strange errors. Copy the Makefile.config.example to Makefile.config. Modify the …
Hello Dear community I’ve installed the latest jetpack to my Jetson Tx2 (4.3). When I was installing Caffe from JetHacks Caffe Deep Learning Framework - NVIDIA Jetson TX2 - …
改为 step : 在Makefile文件的LIBRARIES,把 hdf hl 和hdf 修改为hdf serial hl 和 hdf seri. ... 問題一: Installing Caffe without CUDA: fatal error: cublas_v2.h No such file : …
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