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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass
from enum import Enum
from functools import lru_cache
from gzip import GzipFile
from io import BytesIO
from mmap import ACCESS_READ, mmap
import os
from typing import Any, Callable, List, Optional, Set, Tuple
import warnings
import numpy as np
from .extended import ExtendedVisionDataset
_Labels = int
_DEFAULT_MMAP_CACHE_SIZE = 16 # Warning: This can exhaust file descriptors
@dataclass
class _ClassEntry:
block_offset: int
maybe_filename: Optional[str] = None
@dataclass
class _Entry:
class_index: int # noqa: E701
start_offset: int
end_offset: int
filename: str
class _Split(Enum):
TRAIN = "train"
VAL = "val"
@property
def length(self) -> int:
return {
_Split.TRAIN: 11_797_647,
_Split.VAL: 561_050,
}[self]
def entries_path(self):
return f"imagenet21kp_{self.value}.txt"
def _get_tarball_path(class_id: str) -> str:
return f"{class_id}.tar"
def _make_mmap_tarball(tarballs_root: str, mmap_cache_size: int):
@lru_cache(maxsize=mmap_cache_size)
def _mmap_tarball(class_id: str) -> mmap:
tarball_path = _get_tarball_path(class_id)
tarball_full_path = os.path.join(tarballs_root, tarball_path)
with open(tarball_full_path) as f:
return mmap(fileno=f.fileno(), length=0, access=ACCESS_READ)
return _mmap_tarball
class ImageNet22k(ExtendedVisionDataset):
_GZIPPED_INDICES: Set[int] = {
841_545,
1_304_131,
2_437_921,
2_672_079,
2_795_676,
2_969_786,
6_902_965,
6_903_550,
6_903_628,
7_432_557,
7_432_589,
7_813_809,
8_329_633,
10_296_990,
10_417_652,
10_492_265,
10_598_078,
10_782_398,
10_902_612,
11_203_736,
11_342_890,
11_397_596,
11_589_762,
11_705_103,
12_936_875,
13_289_782,
}
Labels = _Labels
def __init__(
self,
*,
root: str,
extra: str,
transforms: Optional[Callable] = None,
transform: Optional[Callable] = None,
target_transform: Optional[Callable] = None,
mmap_cache_size: int = _DEFAULT_MMAP_CACHE_SIZE,
) -> None:
super().__init__(root, transforms, transform, target_transform)
self._extra_root = extra
entries_path = self._get_entries_path(root)
self._entries = self._load_extra(entries_path)
class_ids_path = self._get_class_ids_path(root)
self._class_ids = self._load_extra(class_ids_path)
self._gzipped_indices = ImageNet22k._GZIPPED_INDICES
self._mmap_tarball = _make_mmap_tarball(self._tarballs_root, mmap_cache_size)
def _get_entries_path(self, root: Optional[str] = None) -> str:
return "entries.npy"
def _get_class_ids_path(self, root: Optional[str] = None) -> str:
return "class-ids.npy"
def _find_class_ids(self, path: str) -> List[str]:
class_ids = []
with os.scandir(path) as entries:
for entry in entries:
root, ext = os.path.splitext(entry.name)
if ext != ".tar":
continue
class_ids.append(root)
return sorted(class_ids)
def _load_entries_class_ids(self, root: Optional[str] = None) -> Tuple[List[_Entry], List[str]]:
root = self.get_root(root)
entries: List[_Entry] = []
class_ids = self._find_class_ids(root)
for class_index, class_id in enumerate(class_ids):
path = os.path.join(root, "blocks", f"{class_id}.log")
class_entries = []
try:
with open(path) as f:
for line in f:
line = line.rstrip()
block, filename = line.split(":")
block_offset = int(block[6:])
filename = filename[1:]
maybe_filename = None
if filename != "** Block of NULs **":
maybe_filename = filename
_, ext = os.path.splitext(filename)
# assert ext == ".JPEG"
class_entry = _ClassEntry(block_offset, maybe_filename)
class_entries.append(class_entry)
except OSError as e:
raise RuntimeError(f'can not read blocks file "{path}"') from e
assert class_entries[-1].maybe_filename is None
for class_entry1, class_entry2 in zip(class_entries, class_entries[1:]):
assert class_entry1.block_offset <= class_entry2.block_offset
start_offset = 512 * class_entry1.block_offset
end_offset = 512 * class_entry2.block_offset
assert class_entry1.maybe_filename is not None
filename = class_entry1.maybe_filename
entry = _Entry(class_index, start_offset, end_offset, filename)
# Skip invalid image files (PIL throws UnidentifiedImageError)
if filename == "n06470073_47249.JPEG":
continue
entries.append(entry)
return entries, class_ids
def _load_extra(self, extra_path: str) -> np.ndarray:
extra_root = self._extra_root
extra_full_path = os.path.join(extra_root, extra_path)
return np.load(extra_full_path, mmap_mode="r")
def _save_extra(self, extra_array: np.ndarray, extra_path: str) -> None:
extra_root = self._extra_root
extra_full_path = os.path.join(extra_root, extra_path)
os.makedirs(extra_root, exist_ok=True)
np.save(extra_full_path, extra_array)
@property
def _tarballs_root(self) -> str:
return self.root
def find_class_id(self, class_index: int) -> str:
return str(self._class_ids[class_index])
def get_image_data(self, index: int) -> bytes:
entry = self._entries[index]
class_id = entry["class_id"]
class_mmap = self._mmap_tarball(class_id)
start_offset, end_offset = entry["start_offset"], entry["end_offset"]
try:
mapped_data = class_mmap[start_offset:end_offset]
data = mapped_data[512:] # Skip entry header block
if len(data) >= 2 and tuple(data[:2]) == (0x1F, 0x8B):
assert index in self._gzipped_indices, f"unexpected gzip header for sample {index}"
with GzipFile(fileobj=BytesIO(data)) as g:
data = g.read()
except Exception as e:
raise RuntimeError(f"can not retrieve image data for sample {index} " f'from "{class_id}" tarball') from e
return data
def get_target(self, index: int) -> Any:
return int(self._entries[index]["class_index"])
def get_targets(self) -> np.ndarray:
return self._entries["class_index"]
def get_class_id(self, index: int) -> str:
return str(self._entries[index]["class_id"])
def get_class_ids(self) -> np.ndarray:
return self._entries["class_id"]
def __getitem__(self, index: int) -> Tuple[Any, Any]:
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return super().__getitem__(index)
def __len__(self) -> int:
return len(self._entries)
def _dump_entries(self, *args, **kwargs) -> None:
entries, class_ids = self._load_entries_class_ids(*args, **kwargs)
max_class_id_length, max_filename_length, max_class_index = -1, -1, -1
for entry in entries:
class_id = class_ids[entry.class_index]
max_class_index = max(entry.class_index, max_class_index)
max_class_id_length = max(len(class_id), max_class_id_length)
max_filename_length = max(len(entry.filename), max_filename_length)
dtype = np.dtype(
[
("class_index", "<u4"),
("class_id", f"U{max_class_id_length}"),
("start_offset", "<u4"),
("end_offset", "<u4"),
("filename", f"U{max_filename_length}"),
]
)
sample_count = len(entries)
entries_array = np.empty(sample_count, dtype=dtype)
for i, entry in enumerate(entries):
class_index = entry.class_index
class_id = class_ids[class_index]
start_offset = entry.start_offset
end_offset = entry.end_offset
filename = entry.filename
entries_array[i] = (
class_index,
class_id,
start_offset,
end_offset,
filename,
)
entries_path = self._get_entries_path(*args, **kwargs)
self._save_extra(entries_array, entries_path)
def _dump_class_ids(self, *args, **kwargs) -> None:
entries_path = self._get_entries_path(*args, **kwargs)
entries_array = self._load_extra(entries_path)
max_class_id_length, max_class_index = -1, -1
for entry in entries_array:
class_index, class_id = entry["class_index"], entry["class_id"]
max_class_index = max(int(class_index), max_class_index)
max_class_id_length = max(len(str(class_id)), max_class_id_length)
class_ids_array = np.empty(max_class_index + 1, dtype=f"U{max_class_id_length}")
for entry in entries_array:
class_index, class_id = entry["class_index"], entry["class_id"]
class_ids_array[class_index] = class_id
class_ids_path = self._get_class_ids_path(*args, **kwargs)
self._save_extra(class_ids_array, class_ids_path)
def _dump_extra(self, *args, **kwargs) -> None:
self._dump_entries(*args, *kwargs)
self._dump_class_ids(*args, *kwargs)
def dump_extra(self, root: Optional[str] = None) -> None:
return self._dump_extra(root)
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