data-loader
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Expected Behavior
I want to convert torch.nn.Linear modules to weight drop linear modules in my model (possibly big), and I want to train my model with multi-GPUs. However, I have RuntimeError in my sample code. First, I have _weight_drop() which drops some part of weights in torch.nn.Linear (see the code below).
Actual Behavior
RuntimeError: arguments are located on different GPUs at /
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Feb 11, 2022 - TypeScript
The urls used in the code and documentation should be checked for availability (As done for the readme in #87)
Places to check:
- URLs in the CorpusDownloader classes
- URLs in the code-doc of CorpusReader classes
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The MatchOn method (https://github.com/corstian/Boerman.GraphQL.Contrib/blob/master/Boerman.GraphQL.Contrib/DataLoaders/GenericEntityFrameworkDataLoader.cs) does not produce queries which work properly with EF Core 3.0 because it uses the ICollection interface.
Change this to IList to make it work properly again.
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Motivation
torchtext provide several open source nlp datasets in raw form. These datasets are provide as Iterables. Although there are times when user may prefer map-style datase