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Perhaps an error could be raised to warn if training data of different formats is mixed? It took me a bit to figure out why it was failing until I realized that the record sizes being read were varying.
EDIT: Hmm, using any non-v6 training data runs into problems since parse has v6_gen hardcoded into it:
defparse(self):
""" Read data from child workers and yield batches of unpacked records """gen=self.v6_gen() # read from workersgen=self.tuple_gen(gen) # convert v6->tuplegen=self.batch_gen(gen) # assemble into batchesforbingen:
yieldb
The text was updated successfully, but these errors were encountered:
T60 since march 15 is 100 percent v6, 2 weeks before mostly v6 and around 10 percent v5 - needs rescoring.. t75 is 100 percent v6. Also some data can be corrupted. But overall I have good experience with late t60 data.
Perhaps an error could be raised to warn if training data of different formats is mixed? It took me a bit to figure out why it was failing until I realized that the record sizes being read were varying.
EDIT: Hmm, using any non-v6 training data runs into problems since
parse
hasv6_gen
hardcoded into it:The text was updated successfully, but these errors were encountered: