hzwer / Practical-RIFE

We are developing more practical frame interpolation approach.
MIT License
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[Google Colab error] ERROR: No matching distribution found for torchvision==0.7.0 #39

Closed shinshin86 closed 10 months ago

shinshin86 commented 10 months ago

Hello! I tried to with Google Colab using Colab_demo.ipynb as a reference and encountered the following error.

ERROR: Could not find a version that satisfies the requirement torchvision==0.7.0 (from versions: 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.2.1, 0.2.2, 0.2.2.post2, 0.2.2.post3, 0.12.0, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.15.2, 0.16.0)
ERROR: No matching distribution found for torchvision==0.7.0

As a result, I was able to start using it successfully by deleting the line torchvision==0.7.0 from requirements.txt.

For example, I was thinking that if someone like me tries to use Google Colab in the future, I could prepare a requirements_google_colab.txt so that they can try it without encountering any problems, what do you think? (Maybe more requirements.txt to manage is not a good thing...)

hooke007 commented 10 months ago

Yesterday I used latest version of torchvision to test. You could try that.

shinshin86 commented 10 months ago

@hooke007 Thanks for your comment! However, I am still getting the same error when I try the latest version.

Error log

ERROR: Could not find a version that satisfies the requirement torchvision==0.7.0 (from versions: 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.2.1, 0.2.2, 0.2.2.post2, 0.2.2.post3, 0.12.0, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.15.2, 0.16.0)
ERROR: No matching distribution found for torchvision==0.7.0

Here is the code I ran at Google Colab.

%cd /content
!git clone https://github.com/hzwer/Practical-RIFE

%cd /content/Practical-RIFE/
!pip3 install -r requirements.txt

What is the latest version of torchvision? (I read and ran requirements.txt, but maybe I am misinterpreting your comment)

hooke007 commented 10 months ago

No, I didn't run pip3 install -r requirements.txt. I pip install every deps one by one instead. Every deps' latest version works fine except numpy

hooke007 commented 10 months ago

Or you could edit requirements and then do as previous workflow.

--- torchvision==0.7.0
+++ torchvision>=0.7.0
shinshin86 commented 10 months ago

Or you could edit requirements and then do as previous workflow.

--- torchvision==0.7.0
+++ torchvision>=0.7.0

@hooke007 Thank you! It worked with what you taught me! My question has been answered, so I'll close this issue here.

Thanks for your comment!