MehdiAbbanaBennani
commented
7 years ago It seems like libcupti.so might be missing from your CUDA library, you can try installing cupti library using the following command:
sudo apt-get install libcupti-dev
SeekPoint
rzai@rzai00:~/prj/Neural-Networks-for-Collaborative-Filtering$ CUDA_VISIBLE_DEVICES=1 python3 main.py I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally /usr/local/lib/python3.4/dist-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20. "This module will be removed in 0.20.", DeprecationWarning) ................................................................................................. Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported. WARNING:tensorflow:From /home/rzai/prj/Neural-Networks-for-Collaborative-Filtering/autoencoder/Autoencoder.py:76 in run_training.: initialize_all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02. Instructions for updating: Use
tf.global_variables_initializerinstead. I tensorflow/core/common_runtime/gpu/gpu_device.cc:885] Found device 0 with properties: name: GeForce GTX 1080 major: 6 minor: 1 memoryClockRate (GHz) 1.7335 pciBusID 0000:01:00.0 Total memory: 7.92GiB Free memory: 7.43GiB I tensorflow/core/common_runtime/gpu/gpu_device.cc:906] DMA: 0 I tensorflow/core/common_runtime/gpu/gpu_device.cc:916] 0: Y I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0) I tensorflow/stream_executor/dso_loader.cc:119] Couldn't open CUDA library libcupti.so. LD_LIBRARY_PATH: /home/rzai/torch/install/lib:/home/rzai/torch/install/lib:/home/rzai/torch/install/lib:/home/rzai/torch/install/lib:/usr/local/cuda-8.0/lib64:/home/rzai/torch/install/lib:/home/rzai/torch/install/lib:/home/rzai/torch/install/lib:/home/rzai/torch/install/lib: F tensorflow/core/platform/default/gpu/cupti_wrapper.cc:59] Check failed: ::tensorflow::Status::OK() == (::tensorflow::Env::Default()->GetSymbolFromLibrary( GetDsoHandle(), kName, &f)) (OK vs. Not found: /usr/local/lib/python3.4/dist-packages/tensorflow/python/_pywrap_tensorflow.so: undefined symbol: cuptiActivityRegisterCallbacks)could not find cuptiActivityRegisterCallbacksin libcupti DSOAborted (core dumped) rzai@rzai00:~/prj/Neural-Networks-for-Collaborative-Filtering$