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https://github.com/facebookresearch/blt.git
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- Create a common class to use in all inheritance for states - Add a limit iterator that we can use in evals - Modify ArrowFileIterator behavior to not do arrow path inference if file_format='json' - Make EvalArgs valid - Move testing iterators to a common directory to allow usage in multiple test files - Make it so that SequenceIterator can take a None rng_state, to disable all rng ops (for eval mainly) Test Plan: - `pytest bytelatent` - `python -m bytelatent.train config=../internal-blt/configs/entropy_model.yaml logging.wandb=null eval=null`
95 lines
2.9 KiB
Python
95 lines
2.9 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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from bytelatent.constants import BLT_DATA
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from bytelatent.data.iterators.dev_iterators import (
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BltTestIterator,
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BltTestWithEntropiesIterator,
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)
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from bytelatent.data.iterators.preprocess_iterator import PreprocessIterator
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from bytelatent.data.patcher import PatcherArgs, PatchingModeEnum
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from bytelatent.tokenizers.build_tokenizer import TokenizerArgs
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def test_preprocess_iter():
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total = 3
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tokenizer_args = TokenizerArgs(
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name="blt",
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init_kwargs={
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"bpe_tokenizer_path": BLT_DATA / "tokenizer_final_32k.minus_inf_ws.model"
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},
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)
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for mode in [
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PatchingModeEnum.bpe,
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PatchingModeEnum.space,
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]:
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data_it = BltTestIterator(total)
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patcher_args = PatcherArgs(patching_mode=mode)
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example_it = PreprocessIterator(
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data_it, tokenizer_args=tokenizer_args, patcher_args=patcher_args
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)
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count = 0
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for example in example_it.create_iter():
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assert isinstance(example.tokens, list)
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assert isinstance(example.tokens[0], int)
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# BOS and EOS
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assert len(example.tokens) == len(example.text) + 2
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assert example.mask is not None
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assert len(example.tokens) == len(example.mask)
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count += 1
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assert count == total
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def test_non_entropy_patch_iter():
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total = 3
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tokenizer_args = TokenizerArgs(
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name="blt",
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init_kwargs={
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"bpe_tokenizer_path": BLT_DATA / "tokenizer_final_32k.minus_inf_ws.model"
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},
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)
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for mode in [
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PatchingModeEnum.bpe,
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PatchingModeEnum.space,
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]:
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patcher_args = PatcherArgs(patching_mode=mode)
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data_it = BltTestIterator(total)
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example_it = PreprocessIterator(
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data_it, tokenizer_args=tokenizer_args, patcher_args=patcher_args
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)
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count = 0
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for example in example_it.create_iter():
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assert isinstance(example.patch_lengths, list)
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assert isinstance(example.patch_lengths[0], int)
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assert len(example.tokens) == sum(example.patch_lengths)
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count += 1
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assert count == total
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def test_entropy_patch_iter():
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total = 2
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patcher_args = PatcherArgs(
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patching_mode=PatchingModeEnum.entropy, threshold=1.335442066192627
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)
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tokenizer_args = TokenizerArgs(
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name="blt",
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init_kwargs={
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"bpe_tokenizer_path": BLT_DATA / "tokenizer_final_32k.minus_inf_ws.model"
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},
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)
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data_it = BltTestWithEntropiesIterator(total)
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example_it = PreprocessIterator(
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data_it, tokenizer_args=tokenizer_args, patcher_args=patcher_args
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)
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count = 0
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for example in example_it.create_iter():
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assert isinstance(example.patch_lengths, list)
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assert isinstance(example.patch_lengths[0], int)
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assert len(example.tokens) == sum(example.patch_lengths)
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count += 1
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assert count == total
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