File size: 7,908 Bytes
c83c617 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 | """Epoch-specific virtual windows; chat quota counts actual cropped targets."""
import json
from pathlib import Path
import numpy as np
from vimeml.training.data import SentenceWindowDataset, file_sha
from vimeml.training.data_v2 import PrefixCropWindowDataset
ROOT = Path(__file__).resolve().parents[3]
class JoinedPrefixWindows:
"""Virtual concatenation of compatible frozen stores; no token copies."""
epoch_indexed = True
def __init__(self, bases, primary, source_maps):
self.bases, self.source_maps = bases, source_maps
self.primary = primary
self.ends = np.cumsum([len(base) for base in bases], dtype=np.int64)
self.starts = np.r_[0, self.ends[:-1]]
selected = bases[primary]
for key in ("token_dir", "context_length", "split", "seed", "probability", "min_remaining_tokens"):
setattr(self, key, getattr(selected, key))
self._store = None
self.epoch = 0
def __len__(self):
return int(self.ends[-1])
def set_epoch(self, epoch):
self.epoch = epoch
for base in self.bases:
base.set_epoch(epoch)
def _open(self):
self.bases[self.primary]._open()
self._store = self.bases[self.primary]._store
def __getitem__(self, key):
epoch, index = key if isinstance(key, tuple) else (self.epoch, key)
index = int(index)
if not 0 <= index < len(self):
raise IndexError("Joined window outside frozen stores")
source = int(np.searchsorted(self.ends, index, side="right"))
sample = self.bases[source][(epoch, int(index - self.starts[source]))]
return {**sample, "source_id": self.source_maps[source][sample["source_id"]],
"sample_index": index}
def window_lengths(self, indices):
return self._lengths(indices, cropped=True)
def uncropped_window_lengths(self, indices):
return self._lengths(indices, cropped=False)
def _lengths(self, indices, *, cropped):
indices = np.asarray(indices, dtype=np.int64)
if np.any(indices < 0) or np.any(indices >= len(self)):
raise IndexError("Joined window outside frozen stores")
lengths = np.empty(len(indices), dtype=np.int64)
for base, start, end in zip(self.bases, self.starts, self.ends):
positions = np.flatnonzero((indices >= start) & (indices < end))
if len(positions):
local = indices[positions] - start
lengths[positions] = (base.window_lengths(local) if cropped else
SentenceWindowDataset.window_lengths(base, local))
return lengths
def close(self):
for base in self.bases:
base.close()
self._store = None
def __getstate__(self):
return {**self.__dict__, "_store": None}
class MixtureWindowDataset:
epoch_indexed = True
def __init__(self, base, directory):
self.base = base
self.directory = Path(directory)
self.manifest = json.loads((self.directory / "manifest.json").read_text(encoding="utf-8"))
if self.manifest.get("status") != "complete" or self.manifest.get("format") != "vimeml_token_mixture_v1":
raise ValueError("Incomplete or unsupported mixture.")
request = self.manifest["request"]
if (request["token_manifest_sha256"] != file_sha(base.token_dir / "manifest.json") or
request["window_manifest_sha256"] != file_sha(ROOT / request["index_dir"].replace("\\", "/") / "manifest.json")):
raise ValueError("Mixture belongs to different token data/indexes.")
if (request["seed"], request["crop_probability"], request["crop_minimum"]) != (
base.seed, base.probability, base.min_remaining_tokens):
raise ValueError("Mixture crop settings differ from training.")
self.context_length = base.context_length
self.split = "train"
self.epoch = 0
self._mapping = self._mapping_epoch = self._store = None
def _map(self, epoch):
if not 0 <= epoch < len(self.manifest["epochs"]):
raise ValueError("Epoch is outside the frozen mixture plan.")
if self._mapping_epoch != epoch:
self._close_map()
record = self.manifest["epochs"][epoch]
path = self.directory / record["file"]
if path.stat().st_size != record["bytes"]:
raise ValueError("Mixture mapping size differs from manifest.")
self._mapping = np.load(path, mmap_mode="r", allow_pickle=False)
if self._mapping.dtype != np.dtype("uint32") or self._mapping.shape != (record["windows"],):
self._close_map()
raise ValueError("Invalid mixture mapping dtype/shape.")
self._mapping_epoch = epoch
return self._mapping
def __len__(self):
return self.manifest["epochs"][self.epoch]["windows"]
def set_epoch(self, epoch):
if not 0 <= epoch < len(self.manifest["epochs"]):
raise ValueError("Epoch is outside the frozen mixture plan.")
self.epoch = epoch
self.base.set_epoch(epoch)
def _open(self):
self.base._open()
self._store = self.base._store
def __getitem__(self, key):
epoch, index = key if isinstance(key, tuple) else (self.epoch, key)
physical = int(self._map(epoch)[index])
return self.base[(epoch, physical)]
def window_lengths(self, indices):
self.base.set_epoch(self.epoch)
return self.base.window_lengths(self._map(self.epoch)[np.asarray(indices, dtype=np.int64)])
def _close_map(self):
if self._mapping is not None:
self._mapping._mmap.close()
self._mapping = self._mapping_epoch = None
def close(self):
self._close_map()
self.base.close()
self._store = None
def __getstate__(self):
state = self.__dict__.copy()
state["_mapping"] = state["_mapping_epoch"] = state["_store"] = None
return state
def mixture_dataset(config, root):
settings = config["training"]
directory = root / config["data_mixture"]["directory"]
manifest = json.loads((directory / "manifest.json").read_text(encoding="utf-8"))
records = manifest["request"].get("joined_stores")
bases = []
try:
if records:
maps = []
for record in records:
if (file_sha(root / record["token_dir"] / "manifest.json") != record["token_manifest_sha256"] or
file_sha(root / record["index_dir"] / "manifest.json") != record["window_manifest_sha256"]):
raise ValueError("Joined store identity differs from frozen mixture")
bases.append(PrefixCropWindowDataset(root / record["token_dir"], root / record["index_dir"],
seed=settings["seed"], probability=settings.get("prefix_crop_probability", 0.0),
min_remaining_tokens=settings.get("prefix_crop_min_remaining_tokens", 8)))
maps.append({int(k): v for k, v in record["source_map"].items()})
base = JoinedPrefixWindows(bases, manifest["request"]["primary_store"], maps)
if str(base.token_dir.resolve()) != str((root / config["token_dir"]).resolve()):
raise ValueError("Joined primary store must match configuration")
else:
base = PrefixCropWindowDataset(root / config["token_dir"], root / config["index_dir"],
seed=settings["seed"], probability=settings.get("prefix_crop_probability", 0.0),
min_remaining_tokens=settings.get("prefix_crop_min_remaining_tokens", 8))
bases.append(base)
return MixtureWindowDataset(base, directory)
except BaseException:
for base in bases:
base.close()
raise
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