Aarsh Chaube
Aarsh Chaube
Hi @aman190202, I have requested a review on your behalf from @VedPatwardhan, who has more experience with M1 based macs. He'll get back to you soon !
Hi @artykov1511, please implement the tests for the function as well. Thanks🙂. The tests would go in `test_torch` folder's corresponding file
I faced a similar issue on a different architecture, check the number of channels you're passing as input, I think your input should be [16,32,38,38]
So you can either use torch_summary(package) if you want all the parameter details and model size which outputs something like this if you only want size you can do something...
Yeah so you're using Pytorch's pruning which is unstructured . what unstructured pruning does is that it will put zeros in your weight matrix but it won't remove them. In...
Hi @Aniket2002, I have re-opened the issue. It happened because you didn't use a suitable scheme to reference it when you created an issue. Will have a look into the...
Hey @Aniket2002, kindly have a look at the docs [here](https://lets-unify.ai/ivy/deep_dive/ivy_frontends_tests.html?highlight=class_tree)
@Aniket2002 you should be drawing from hypothesis inside the decorator.
Hey @Aniket2002, suggest you start testing the function on your local environment first, also have a look at the check suite errors under `Run frontend Tests` when you click on...
Commenting for context, PR is related to this task -: https://trello.com/c/bM30qW9Z