Add a typical data loading pipeline path for the EfficeintNet #5761
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- adds an option to run the EfficeintNet network with a typical data loading pipeline without very advanced optimization that most users won't implement Signed-off-by: Janusz Lisiecki <jlisiecki@nvidia.com>
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docs/examples/use_cases/pytorch/efficientnet/image_classification/dataloaders.py
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docs/examples/use_cases/pytorch/efficientnet/image_classification/dataloaders.py
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klecki
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Dec 20, 2024
| input = next_input | ||
| target = next_target | ||
| def prefetched_loader(loader, num_classes, one_hot, typical_loader ): | ||
| if typical_loader: |
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I would consider building a TypicalPytorchLoader as a separate class that just omits prefetching and fast_collate instead of introducing if-branches everywhere. It can even land in a separate file with docstring explaining that it's created according to the doc.
Signed-off-by: Janusz Lisiecki <jlisiecki@nvidia.com>
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data loading pipeline without very advanced optimization that
most users won't implement
Category:
Other (e.g. Documentation, Tests, Configuration)
Description:
data loading pipeline without very advanced optimization that
most users won't implement
Additional information:
Affected modules and functionalities:
Key points relevant for the review:
Tests:
Checklist
Documentation
DALI team only
Requirements
REQ IDs: N/A
JIRA TASK: N/A