Comments (2)
This part looks like an issue with CUDA GPU libraries
2022-03-28 12:54:27.132131: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2022-03-28 12:54:27.132153: 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.
Segmentation Models: using `tf.keras` framework.
extracting effnet-b3-FPN-160-tversky-hands.tar.gz
2022-03-28 12:54:30.458265: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /home/scripthound/analog_watch_recognition/analog-watch-recognition/venv/lib/python3.8/site-packages/cv2/../../lib64:
2022-03-28 12:54:30.458286: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2022-03-28 12:54:30.458298: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (magi3): /proc/driver/nvidia/version does not exist
Make sure you can run any tf code on the GPU
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))
These tutorials might be helpful:
https://www.tensorflow.org/install/gpu
https://www.tensorflow.org/install/gpu
Alternatively, you could run the notebook without a GPU if you set env var CUDA_VISIBLE_DEVICES=-1
before you import Tensorflow. See more here https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#env-vars
from analog-watch-recognition.
Warnings like this
WARNING:tensorflow:Unable to restore custom metric. Please ensure that the layer implements `get_config` and `from_config` when saving. In addition, please use the `custom_objects` arg when calling `load_model()`.
and similar to these
WARNING:absl:Importing a function (__inference_block4a_expand_activation_layer_call_and_return_conditional_losses_4624933) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.
WARNING:absl:Importing a function (__inference_block2a_activation_layer_call_and_return_conditional_losses_4594619) with ops with unsaved custom gradients. Will likely fail if a gradient is requested.
Can be ignored if you use models for inference. The models might fail if you run .fit method though.
from analog-watch-recognition.
Related Issues (4)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from analog-watch-recognition.