python - Having issues trying to get tensorflow 2 to work with WSL 2

Question

Using TensorFlow backend. 2021-01-09 17:01:36.009126: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory 2021-01-09 17:01:36.009169: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303) 2021-01-09 17:01:36.009212: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (DESKTOP-91JP32H): /proc/driver/nvidia/version does not exist 2021-01-09 17:01:36.010807: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2021-01-09 17:01:36.058753: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3792000000 Hz 2021-01-09 17:01:36.059597: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fbb78000b20 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2021-01-09 17:01:36.059635: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version

Here's the full error. I upgraded from WSL to WSL2 because from what I read in WSL 1 it can't locate your GPU. I went through these steps https://developer.nvidia.com/cuda/wsl with no luck.

from keras.layers import Dropout, Flatten, Dense, Activation, BatchNormalization
from keras.layers.convolutional import MaxPooling2D, Conv2D
from keras.models import Sequential
from keras.preprocessing.image import ImageDataGenerator
from keras.callbacks import ModelCheckpoint

...

model = Sequential()
model.add(Conv2D(nb_filters1, [conv1_size, conv1_size], input_shape=(img_height, img_width , 3)))```

question from:https://stackoverflow.com/questions/65648126/having-issues-trying-to-get-tensorflow-2-to-work-with-wsl-2

Answer 1

Waitting for answers