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Could not load dynamic library 'libcudart.so.10.1' #4

Open bryanbocao opened 2 years ago

bryanbocao commented 2 years ago
2022-05-10 15:32:16.463353: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:16.463377: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2022-05-10 15:32:17.142667: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-05-10 15:32:17.165158: I tensorflow/core/platform/profile_utils/cpu_utils.cc:104] CPU Frequency: 3600000000 Hz
2022-05-10 15:32:17.167584: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5619b6de4300 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2022-05-10 15:32:17.167601: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2022-05-10 15:32:17.169486: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcuda.so.1
2022-05-10 15:32:17.263230: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-10 15:32:17.263414: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5619b86928f0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2022-05-10 15:32:17.263427: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): NVIDIA GeForce RTX 2080 SUPER, Compute Capability 7.5
2022-05-10 15:32:17.263576: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-10 15:32:17.263654: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: 
pciBusID: 0000:01:00.0 name: NVIDIA GeForce RTX 2080 SUPER computeCapability: 7.5
coreClock: 1.83GHz coreCount: 48 deviceMemorySize: 7.79GiB deviceMemoryBandwidth: 462.00GiB/s
2022-05-10 15:32:17.263741: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:17.263778: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:17.281747: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10
2022-05-10 15:32:17.282010: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10
2022-05-10 15:32:17.282070: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcusolver.so.10'; dlerror: libcusolver.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:17.282107: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcusparse.so.10'; dlerror: libcusparse.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:17.282144: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:17.282151: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1753] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2022-05-10 15:32:17.282167: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-05-10 15:32:17.282172: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]      0 
2022-05-10 15:32:17.282175: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0:   N 
[name: "/device:CPU:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 10764826890666561147
, name: "/device:XLA_CPU:0"
device_type: "XLA_CPU"
memory_limit: 17179869184
locality {
}
incarnation: 9441121520407327622
physical_device_desc: "device: XLA_CPU device"
, name: "/device:XLA_GPU:0"
device_type: "XLA_GPU"
memory_limit: 17179869184
locality {
}
incarnation: 5823399439119739744
physical_device_desc: "device: XLA_GPU device"
]
2022-05-10 15:32:17.282957: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-10 15:32:17.283052: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: 
pciBusID: 0000:01:00.0 name: NVIDIA GeForce RTX 2080 SUPER computeCapability: 7.5
coreClock: 1.83GHz coreCount: 48 deviceMemorySize: 7.79GiB deviceMemoryBandwidth: 462.00GiB/s
2022-05-10 15:32:17.283104: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:17.283143: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcublas.so.10'; dlerror: libcublas.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:17.283158: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcufft.so.10
2022-05-10 15:32:17.283170: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library libcurand.so.10
2022-05-10 15:32:17.283202: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcusolver.so.10'; dlerror: libcusolver.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:17.283236: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcusparse.so.10'; dlerror: libcusparse.so.10: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:17.283269: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/brcao/Apps/anaconda3/envs/via/lib/python3.8/site-packages/cv2/../../lib64:
2022-05-10 15:32:17.283275: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1753] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2022-05-10 15:32:17.283283: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1257] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-05-10 15:32:17.283287: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1263]      0 
2022-05-10 15:32:17.283290: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1276] 0:   N 

System information:

No LSB modules are available.
Distributor ID: Ubuntu
Description:    Ubuntu 18.04.1 LTS
Release:    18.04
Codename:   bionic
python -c 'import tensorflow; print(tensorflow.__version__)'
2022-05-10 15:43:02.039826: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2022-05-10 15:43:02.039846: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2.3.0
python -c 'import keras; print(keras.__version__)'
2022-05-10 15:43:31.245531: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2022-05-10 15:43:31.245552: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2.4.3