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mboudiaf / pytorch-meta-dataset

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification
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Learn2Learn support? #15

Open brando90 opened 2 years ago

brando90 commented 2 years ago

Is there learn2learn support for this https://github.com/learnables/learn2learn/issues/286

I am happy to help add it. What would be a good starting point?

mboudiaf commented 2 years ago

Hi @brando90,

Sorry for my latency. Not very familiar this this library, so not sure what you exactly want to achieve, but if you want to wrap Meta-Dataset in an l2l loader, I guess you could have a look at the way I construct the ZipDataset: https://github.com/mboudiaf/pytorch-meta-dataset/blob/61e8555dda0ef75e80cf3d03cb0d7a6822b0e082/src/datasets/pipeline.py#L240 and see if that be interfaced with l2l library. Please provide more details and we can probably work that out together :)

Malik

brando90 commented 2 years ago

HI Malik!

Appreciate the response!

It would be awesome to work together on this. However, something change in my current things that are essential and meta-data set is not it unfortunately :( I do think it will be in the future and I post again here and we can tackle this problem then!

Thanks for the message and hope to post back soon in a couple of months :)

On Apr 16, 2022, at 1:16 PM, Malik Boudiaf @.***> wrote:

Hi @brando90 https://github.com/brando90,

Sorry for my latency. Not very familiar this this library, so not sure what you exactly want to achieve, but if you want to wrap Meta-Dataset in an l2l loader, I guess you could have a look at the way I construct the ZipDataset: https://github.com/mboudiaf/pytorch-meta-dataset/blob/61e8555dda0ef75e80cf3d03cb0d7a6822b0e082/src/datasets/pipeline.py#L240 https://github.com/mboudiaf/pytorch-meta-dataset/blob/61e8555dda0ef75e80cf3d03cb0d7a6822b0e082/src/datasets/pipeline.py#L240 and see if that be interfaced with l2l library. Please provide more details and we can probably work that out together :)

Malik

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mboudiaf commented 2 years ago

No worries, let's keep that issue open for the future ! :)