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CU-8694hukwm: Document the materialising of generator when multiproce… #433

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May 22, 2024
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CU-8694hukwm: Document the materialising of generator when multiproce… #433

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CU-8694hukwm: Document the materialising of generator when multiproce…
mart-r May 13, 2024
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CU-8694hukwm: Add TODO note for where the generator is materialised
mart-r May 13, 2024
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CU-8694hukwm: Add warning from large amounts of generator data (10k i…
mart-r May 14, 2024
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7 changes: 7 additions & 0 deletions medcat/cat.py
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Expand Up @@ -1526,6 +1526,11 @@ def multiprocessing_batch_docs_size(self,

This method batches the data based on the number of documents as specified by the user.

NOTE: When providing a generator for `data`, the generator is evaluated (`list(in_data)`)
and thus all the data is kept in memory and (potentially) duplicated for use in
multiple threads. So if you're using a lot of data, it may be better to use
`CAT.multiprocessing_batch_char_size` instead.

PS:
This method supports Windows.

Expand All @@ -1550,6 +1555,8 @@ def multiprocessing_batch_docs_size(self,
if nproc == 0:
raise ValueError("nproc cannot be set to zero")

# TODO: Surely there's a way to not materialise all of the incoming data in memory?
# This is counter productive for allowing the passing of generators.
in_data = list(in_data) if isinstance(in_data, Iterable) else in_data
n_process = nproc if nproc is not None else min(max(cpu_count() - 1, 1), math.ceil(len(in_data) / batch_factor))
batch_size = batch_size if batch_size is not None else math.ceil(len(in_data) / (batch_factor * abs(n_process)))
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