Apply map function when peeking in tensorflow #129
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| @@ -88,7 +88,11 @@ def __next__(self): | |||
| def peek(self): | |||
| """Grab the next batch from the dataloader | |||
| without removing it from the queue""" | |||
| return self.convert_batch(self._peek_next_batch()) | |||
| converted_batch = self.convert_batch(self._peek_next_batch()) | |||
| for map_fn in self._map_fns: | |||
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looks like the same applies to the peek method of the torch dataloader too. Would it work to move these methods (__next__/peek) to the base class like we had before?
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either in this PR or a new one.
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Thanks, that's a good point. I'll follow up with a new PR.
oliverholworthy
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Apr 6, 2023
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.peek()is supposed to produce the same output asnext()without advancing the iterator:dataloader/merlin/dataloader/tensorflow.py
Lines 80 to 86 in 699ca7b
but the
.map()functionality inpeek()got dropped after the recent dataloader changes, while__next__still applies the map function properly. This PR applies the same logic currently in__next__topeek(). Models currently makes use of this combination:map()andpeek().