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Add Support for multiple train loaders #1959
Commits on Dec 21, 2020
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Separate CombinedLoaderIterator into two classes, and update related …
…tests. (#4606) * Fix the bugs after rebasing. * Add custom get_len for apply_to_collection * Refactor MultiIterator to be as CombinedLoaderIterator * To get the right num_training_batches. Call the wrapper for multi trainloader in data_loading.py, instead of training_loop.py * Reload _loader_iters when calling __iter__ * Don't transform DataLoader to CombinedLoaderIterator when it's along * Updates test_fit_multiple_train_loaders for testing num_training_batches * Seperate CombinedLoaderIterator into CombinedLoaderIterator and CombinedDataLoader. Add CombinedDataset for unified DataLoader format. * Initialize CombinedDataLoader before calculating num_training_batches. Also updating self._worker_check for multiple loaders * Update tests for supporters * Update tests for multiple trainloaders. Add tests about few_workers for multiple loaders. * Fix pep8 issues * Add tests for train_loader_patch.py * Add descriptions to multiple_trainloader_mode * Remove unused variables * Add docstrings and typing * Add more tests for better converage * Remove unused commented codes * Add sampler property * Remove extract_dataset * Update typing
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Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
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Update pytorch_lightning/trainer/supporters.py
Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
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Commits on Dec 31, 2020
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Apply suggestions from code review
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
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Co-authored-by: Nicki Skafte <skaftenicki@gmail.com>
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Commits on Jan 4, 2021
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Update pytorch_lightning/trainer/supporters.py
Co-authored-by: chaton <thomas@grid.ai>
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