Spaces:
Running
on
Zero
Running
on
Zero
Remove byte tokenizer and add config args to switch between byte/patch packing (#68)
Browse filesSummary:
Test Plan:
```
python -m bytelatent.train config=../internal-blt/configs/entropy_model.yaml logging.wandb=null checkpoint.dump.every=1000 checkpoint.eval.every=100000 eval=null
pytest bytelatent/
```
bytelatent/args.py
CHANGED
@@ -14,14 +14,18 @@ from bytelatent.data.iterators.abstract_iterator import StatefulIterator
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from bytelatent.data.iterators.arrow_iterator import ArrowFileIterator
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from bytelatent.data.iterators.looping_iterator import LoopingIterator
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from bytelatent.data.iterators.multiprocess_iterator import MultiprocessIterator
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-
from bytelatent.data.iterators.packing_iterator import
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from bytelatent.data.iterators.preprocess_iterator import PreprocessIterator
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from bytelatent.data.iterators.sampling_iterator import SamplingIterator
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from bytelatent.data.iterators.sequence_iterator import (
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SequenceIterator,
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SequencePackingArgs,
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)
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-
from bytelatent.data.patcher import PatcherArgs
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from bytelatent.distributed import DistributedArgs, EnvironmentArgs
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from bytelatent.metrics import LoggingArgs
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from bytelatent.model.blt import ByteLatentTransformerArgs
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@@ -202,7 +206,11 @@ class DataloaderArgs(BaseModel):
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max_length=self.max_encoder_seq_length,
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pad_to_max_length=self.pad_to_max_length,
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enable_byte_ngrams=self.enable_byte_ngrams,
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-
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)
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packing_iterator = PackingIterator(sampling_iterator, packing_args=packing_args)
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if self.load_async:
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from bytelatent.data.iterators.arrow_iterator import ArrowFileIterator
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from bytelatent.data.iterators.looping_iterator import LoopingIterator
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from bytelatent.data.iterators.multiprocess_iterator import MultiprocessIterator
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+
from bytelatent.data.iterators.packing_iterator import (
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PackingArgs,
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PackingIterator,
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PackingMode,
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)
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from bytelatent.data.iterators.preprocess_iterator import PreprocessIterator
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from bytelatent.data.iterators.sampling_iterator import SamplingIterator
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from bytelatent.data.iterators.sequence_iterator import (
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SequenceIterator,
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SequencePackingArgs,
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)
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+
from bytelatent.data.patcher import PatcherArgs, PatchingModeEnum
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from bytelatent.distributed import DistributedArgs, EnvironmentArgs
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from bytelatent.metrics import LoggingArgs
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from bytelatent.model.blt import ByteLatentTransformerArgs
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max_length=self.max_encoder_seq_length,
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pad_to_max_length=self.pad_to_max_length,
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enable_byte_ngrams=self.enable_byte_ngrams,
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+
packing_mode=(
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PackingMode.BYTES
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if self.patcher_args.patching_mode == PatchingModeEnum.byte
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else PackingMode.PATCHING
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),
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)
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packing_iterator = PackingIterator(sampling_iterator, packing_args=packing_args)
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if self.load_async:
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bytelatent/configs/entropy_model.yaml
CHANGED
@@ -55,7 +55,7 @@ data:
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# so pick the most efficient, so static
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patching_mode: byte
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tokenizer_args:
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-
name:
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profiling:
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run: false
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# so pick the most efficient, so static
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patching_mode: byte
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tokenizer_args:
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name: blt
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profiling:
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run: false
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bytelatent/data/iterators/packing_iterator.py
CHANGED
@@ -1,4 +1,5 @@
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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from typing import Any
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import numpy as np
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@@ -12,6 +13,11 @@ from bytelatent.data.iterators.abstract_iterator import (
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from bytelatent.data.iterators.sampling_iterator import SamplingIteratorState
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class PackingArgs(BaseModel):
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model_config = ConfigDict(extra="forbid")
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batch_size: int
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@@ -20,7 +26,7 @@ class PackingArgs(BaseModel):
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max_length: int | None
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pad_to_max_length: bool
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enable_byte_ngrams: bool
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-
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class PackingIteratorState(PydanticIteratorState):
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@@ -155,10 +161,12 @@ class PackingIterator(StatefulIterator[Batch, PackingIteratorState]):
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)
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def create_iter(self):
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if self.packing_args.
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return self._create_iter_from_bytes()
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-
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return self._create_iter_from_patch_lengths()
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def _create_iter_from_bytes(self):
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sequence_iter = self.sequence_iterator.create_iter()
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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+
from enum import Enum
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from typing import Any
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import numpy as np
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from bytelatent.data.iterators.sampling_iterator import SamplingIteratorState
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class PackingMode(str, Enum):
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BYTES = "bytes"
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PATCHING = "patching"
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class PackingArgs(BaseModel):
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model_config = ConfigDict(extra="forbid")
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batch_size: int
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max_length: int | None
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pad_to_max_length: bool
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enable_byte_ngrams: bool
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+
packing_mode: PackingMode
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class PackingIteratorState(PydanticIteratorState):
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)
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def create_iter(self):
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if self.packing_args.packing_mode == PackingMode.BYTES:
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return self._create_iter_from_bytes()
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elif self.packing_args.packing_mode == PackingMode.PATCHING:
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return self._create_iter_from_patch_lengths()
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else:
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raise ValueError(f"Invalid patching mode: {self.packing_args.packing_mode}")
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def _create_iter_from_bytes(self):
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sequence_iter = self.sequence_iterator.create_iter()
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bytelatent/tokenizers/build_tokenizer.py
CHANGED
@@ -5,7 +5,6 @@ from typing import Any
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from pydantic import BaseModel
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from bytelatent.tokenizers.blt_tokenizer import BltTokenizer
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from bytelatent.tokenizers.byte_tokenizer import ByteTokenizer
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from bytelatent.tokenizers.tiktoken_tokenizer import TikTokenTokenizer
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try:
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@@ -55,8 +54,6 @@ class TokenizerArgs(BaseModel):
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init_kwargs = self.init_kwargs
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if self.name == "blt":
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return BltTokenizer(**init_kwargs)
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-
elif self.name == "bytes":
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return ByteTokenizer(**init_kwargs)
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elif self.name == "mock":
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return MockTokenizer(**init_kwargs)
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elif self.name == "sp":
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from pydantic import BaseModel
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from bytelatent.tokenizers.blt_tokenizer import BltTokenizer
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from bytelatent.tokenizers.tiktoken_tokenizer import TikTokenTokenizer
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try:
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init_kwargs = self.init_kwargs
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if self.name == "blt":
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return BltTokenizer(**init_kwargs)
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elif self.name == "mock":
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return MockTokenizer(**init_kwargs)
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elif self.name == "sp":
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bytelatent/tokenizers/byte_tokenizer.py
DELETED
@@ -1,35 +0,0 @@
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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from bytelatent.tokenizers.abstract_tokenizer import Tokenizer
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-
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-
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class ByteTokenizer(Tokenizer):
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def __init__(self):
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self.bos_id = 256
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self.eos_id = 257
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self.n_words = 258
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-
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def encode(self, s: str, add_bos: bool = False, add_eos: bool = False):
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tokens = [self.bos_id] * add_bos + list(s.encode()) + [self.eos_id] * add_eos
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return tokens
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def decode(self, tokens: list[int]):
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byte_tokens = bytes([t for t in tokens if t < 256])
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return byte_tokens.decode("utf-8", errors="backslashreplace")
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-
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def get_token_offsets(
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self, text: str, tokens: list[int] | None = None
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) -> tuple[list[str], list[int]]:
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if tokens is None:
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tokens = self.encode(text)
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-
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decoded_chars, offsets = [], []
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byte_pos = 0
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for token in tokens:
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if token < 256:
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char = bytes([token]).decode("utf-8", errors="ignore")
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if char:
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decoded_chars.append(char)
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offsets.append(byte_pos)
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byte_pos += len(char.encode("utf-8"))
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-
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return decoded_chars, offsets
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