fairseq/tasks/multilingual_translation.py (2 lines):
	- line 276: # TODO make summing of the sample sizes configurable
	- line 293: # TODO make summing of the sample sizes configurable


fairseq/modules/transformer_layer.py (2 lines):
	- line 94: # TODO: to formally solve this problem, we need to change fairseq's
	- line 164: # TODO  remove this once we update apex with the fix


fairseq/iterative_refinement_generator.py (2 lines):
	- line 110: # TODO: iterative refinement generator does not support ensemble for now.
	- line 127: # TODO: better encoder inputs?


fairseq/optim/adafactor.py (1 line):
	- line 226: # TODO: remove check once pyTorch avoids a copy for this case


fairseq/data/round_robin_zip_datasets.py (1 line):
	- line 76: # TODO make it configurable whether to use max() or sum() here


fairseq/data/transform_eos_lang_pair_dataset.py (1 line):
	- line 65: # TODO: support different padding direction on target side


fairseq/optim/nag.py (1 line):
	- line 96: # TODO: remove check once pyTorch avoids a copy for this case


fairseq/models/nat/nonautoregressive_transformer.py (1 line):
	- line 362: # TODO: implementing length-beam


fairseq/data/legacy/block_pair_dataset.py (1 line):
	- line 219: TODO: ids in skip_ids should be consecutive, we can extend it to more generic version later


fairseq/utils.py (1 line):
	- line 160: # TODO: Very rare cases where the replacement is '<eos>' should be handled gracefully


fairseq/data/legacy/masked_lm_dataset.py (1 line):
	- line 208: # TODO: Can we add deteminism without this constraint?


fairseq/data/noising.py (1 line):
	- line 113: # TODO: speed up the following loop


fairseq/optim/adam.py (1 line):
	- line 198: # TODO: remove check once pyTorch avoids a copy for this case


fairseq/models/nat/insertion_transformer.py (1 line):
	- line 179: # TODO: decoding for InsertionTransformer


fairseq/tasks/semisupervised_translation.py (1 line):
	- line 343: # TODO make summing of the sample sizes configurable


fairseq/modules/positional_embedding.py (1 line):
	- line 20: # TODO: The right place for this offset would be inside


fairseq/criterions/legacy_masked_lm.py (1 line):
	- line 96: # TODO: Remove this after refactor of BERTModel


fairseq/models/lstm.py (1 line):
	- line 359: # TODO make bias configurable