Hey Everyone,
I would like to use Google Colab to accelerate the process of calculation of my deep learning model. However, I cannot run the model directly from the .ipynb file in the Google Colaboratory, since it has several .py functions written separately and then the main program will call them together in another .py file.
One of the proposed solutions consisted of following these steps:
1. Commit the code on Github 2. Clone on collab 3. run this command: !python model_Trainer.py on Colab
I have done steps 1 and 2 successfully, however, I still cannot run the third step. And I am getting the following error: python3: can't open file 'model_trainer.py': [Errno 2] No such file or directory.
Does anyone have a solution to this problem?
I look forward to hearing from you.
The problem was in the file path. For future use, for anyone who might face this problem. You need to follow these steps:
1- Commit the code on Github.
2- Clone on colab, by saving a .ipynb file to GitHub repository.
3- Upload the data to google drive in case of its size is larger than 25MB
4- Before running any main file, make sure to change the paths of data to google drive (This was my main problem).
5- Run the main file! on colab!
I suggest you to follow the following, that may be useful to your query: https://www.youtube.com/watch?v=oqMImCeXi6o
https://www.youtube.com/watch?v=Bn_jRbQcmV4
https://medium.com/@ashwindesilva/how-to-use-google-colaboratory-to-clone-a-github-repository-e07cf8d3d22b
The problem was in the file path. For future use, for anyone who might face this problem. You need to follow these steps:
1- Commit the code on Github.
2- Clone on colab, by saving a .ipynb file to GitHub repository.
3- Upload the data to google drive in case of its size is larger than 25MB
4- Before running any main file, make sure to change the paths of data to google drive (This was my main problem).
5- Run the main file! on colab!
I would like to use Google Colab to accelerate the process of calculation of my deep learning model. However, I cannot run the model directly from the .ipynb file in the Google Colaboratory, since it has several .py functions written separately and then the main program will call them together in another .py file.
One of the proposed solutions consisted of following three steps:
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