Cześć
https://gist.github.com/mari-linhares/cef4cb3440408e44963d1447a7db5ae0
Próbuję zainstalować tensorflow-gpu, ale niestety się nie udaje(robie wszystkie kroki z linku powyzej).
GTX 1050
UBUNTU 18.04
test gpu install
python -c 'import torch; print(torch.rand(2,3).cuda())'
tensor([[0.3205, 0.1794, 0.9620],
[0.6146, 0.5109, 0.9467]], device='cuda:0')
Verify the install:
(your_Env_Name) wojtek@wojtek-GF63-8RC:~$ python3 -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
2018-12-17 15:53:37.058120: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-12-17 15:53:37.145892: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:964] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-12-17 15:53:37.146289: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties:
name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493
pciBusID: 0000:01:00.0
totalMemory: 3.95GiB freeMemory: 3.63GiB
2018-12-17 15:53:37.146302: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0
2018-12-17 15:53:37.326699: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-12-17 15:53:37.326727: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0
2018-12-17 15:53:37.326732: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N
2018-12-17 15:53:37.326931: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3349 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1)
tf.Tensor(-568.367, shape=(), dtype=float32)
gdy wyjde juz z your_Env_Name:
python3 -c 'from tensorflow.python.client import device_lib; device_lib.list_local_devices()'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'tensorflow'
Bardzo zastanawia mnie nvidia-smi(zalacznik) i CUDA Version:10.0 czy to moze powodowac bledy?
A odpalajac w Pycharm test do tensorflow:
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory