CODEWITHSUNDEEP
tensorflowjupyter-notebookgoogle-colaboratory
Dogemore
Dogemore

Reputation: 640

Write out file with google colab

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!

Upvotes: 17

Views: 40302

Answers (2)

korakot
korakot

Reputation: 40858

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:

files.download('my_model.ckpt')

Upvotes: 19

Joshua Lian
Joshua Lian

Reputation: 51

I found it is easier to first mount your Google drive to the non-persistent VM and then use os.chdir() to change your current working folder.

After doing this, you can do the exactly same stuff as in local machine.

I have a gist listing several ways to save and transfer files between Colab VM and Google drive, but I think mounting Google drive is the easiest approach.

For more details, please refer to mount_your_google_drive.md in this gist https://gist.github.com/Joshua1989/dc7e60aa487430ea704a8cb3f2c5d6a6

Upvotes: 4

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