broadinstitute / ml4h

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not all tensors properly used by train

erikr opened this issue · comments

What

see log:

2020-06-24 15:57:52,684 - tensor_generators:232 - INFO - 
!!!!>~~~~~~~~~~~~ train_worker completed true epoch 2 ~~~~~~~~~~~~<!!!!
Aggregated information string:
	Generator looped & shuffled over 11317 paths. Epoch: 2
	11322 tensors were presented.
	0 paths were skipped because they previously failed.
	No errors raised.
	
Categorical TensorMap: sts_death has 7992 total examples.
	Label no_sts_death 7698 examples, 96.32% of total.
	Label sts_death 294 examples, 3.68% of total.

Why
tbd

How
tbd

Acceptance Criteria
train uses all tensors

Pretty sure this is solved by #345