open a terminal and cd into the directory of the repo you want to work with and run:
git rev-parse HEAD
It returns a long string similar to this:
919a3996b3093b867073ff5c662b1f2cd4393357
from which you only need the first seven caracter. You should see them in the corresponding commit in bitbucket or github to double check in case of doubt.
Running a gradle project, you may encounter the error below. In my case it occurs after the gradle project crashed, requiring a restart.
Error message:
>Could not resolve all dependencies for configuration ':classpath'. >Could not load module metadata from /home/username/.gradle/caches/modules-2/metadata-2.97/descriptors/io.netty/netty-common/4.1.23.Final/671a8ecc284f9e9f4d35b614eb5de66e/descriptor.bin
Solution:
You need to delete the cache
cd /home/username/.gradle rm -r caches
If you run tensorflow in a docker console you can run the following code in your terminal:
docker exec b61a27999cb8 python3 -c "import tensorflow as tf; tf.compat.v1.Session(config=tf.compat.v1.ConfigProto(log_device_placement=True))"
If you run a jupyter notebook you add the following line:
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.list_physical_devices('GPU')))
https://docs.docker.com/storage/
https://docs.docker.com/storage/volumes/
docker run -it -p 8888:8888 -v /home/personal/Documents/tensorflowData:/tf/notebooks tensorflow/tensorflow:latest-gpu-jupyter
Change SOURCE_FOLDER and DEST_FOLDER accordingly (use absolute paths!).
Now if you navigate to localhost:8888 and create a notebook on DEST_FOLDER, it also should be available on SOURCE_FOLDER.
For tensorflow 2, the destination folder is /tf. You can create a folder of your choice, say: notebook, where you will save your file in your jupyter notebook. Those files will be available in the SOURCE_FOLDER you have set.
The changes in tensorflow-tutorials won’t be kept even if you choose it as your destination folder. You have to use another folder as detailed above.
import os
dir = "Your/Path/"
if not os.path.exists(dir):
os.mkdir(dir)
import shutilsource ='./source'destination ='./destination'dest =shutil.move(source, destination)