google-colaboratory

%%javascript IPython.OutputArea.prototype._should_scroll = function(lines) { return false; } %run rl_base.py I run this giving error saying rl_base.py file not found. I have uploaded the same to gdrive in colab and from the same folder I am running my .ipynb file, containing the above code If you have the test.py file in the corresponding folder in drive as in the below attached image, then the command which you use to run the test.py file is as mentioned below, !python gdrive/My\ Drive/Colab\ Notebooks/object_detection_demo-master/test.py Additional Info: If you jusst want to run !python test

Was there a way to write out files with google colab? For example, if I use import requests r = requests.get(url) Where will those files be stored? Can they be found? And similarly, can I get the file I outputted via say tensorflow save function saver=tf.Saver(....) ... path = saver.save(sess, "./my_model.ckpt") Thanks! In your first example, the data is still in r.content . So you also need to save them first with open('data.dat', 'wb').write(r.content) Then you can download them with files.download from google.colab import files files.download('data.dat') Downloading your model is the same:

When I use saver = tf.train.Saver() and save_path = saver.save(session, "checkpointsFolder/checkpoint.ckpt") I get a UnimplementedError (see above for traceback): File system scheme '[local]' not implemented error Here is the full error --------------------------------------------------------------------------- UnimplementedError Traceback (most recent call last) /usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args) 1333 try: -> 1334 return fn(*args) 1335 except errors.OpError as e: /usr/local/lib/python3.6/dist-packages/tensorflow/python

I am using pip3 install tensorflow==1.8.0 , but it doesn't have GPU support. So I am using pip3 install tensorflow-gpu==1.8.0 , but it still raises an exception libcudart.so.VERSION No such file. Should I use colab to install tensorflow from source? After pip3 list : tensorboard 1.10.0 tensorflow 1.10.0 tensorflow-hub 0.1.1 miguelmorin You can downgrade Tensorflow to a previous version without GPU support on Google Colab. I ran: !pip install tensorflow==1.12.0 import tensorflow as tf print(tf.__version__) which initially returned 2.0.0-dev20190130 but when I returned to it after a few hours, I