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[Typo]: replace date_bytes to data_bytes (#170)

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Mashiro 2022-04-08 15:58:49 +08:00 committed by GitHub
parent 50650e0b7a
commit 66e528830b
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1 changed files with 17 additions and 17 deletions
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34
mmengine/dataset/base_dataset.py
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@ -229,7 +229,7 @@ class BaseDataset(Dataset):
self.test_mode = test_mode
self.max_refetch = max_refetch
self.data_list: List[dict] = []
self.date_bytes: np.ndarray
self.data_bytes: np.ndarray
# Set meta information.
self._metainfo = self._get_meta_info(copy.deepcopy(metainfo))
@ -259,7 +259,7 @@ class BaseDataset(Dataset):
start_addr = 0 if idx == 0 else self.data_address[idx - 1].item()
end_addr = self.data_address[idx].item()
bytes = memoryview(
self.date_bytes[start_addr:end_addr]) # type: ignore
self.data_bytes[start_addr:end_addr]) # type: ignore
data_info = pickle.loads(bytes) # type: ignore
else:
data_info = self.data_list[idx]
@ -302,7 +302,7 @@ class BaseDataset(Dataset):
# serialize data_list
if self.serialize_data:
self.date_bytes, self.data_address = self._serialize_data()
self.data_bytes, self.data_address = self._serialize_data()
self._fully_initialized = True
@ -575,7 +575,7 @@ class BaseDataset(Dataset):
# Get subset of data from serialized data or data information sequence
# according to `self.serialize_data`.
if self.serialize_data:
self.date_bytes, self.data_address = \
self.data_bytes, self.data_address = \
self._get_serialized_subset(indices)
else:
self.data_list = self._get_unserialized_subset(indices)
@ -626,9 +626,9 @@ class BaseDataset(Dataset):
sub_dataset = self._copy_without_annotation()
# Get subset of dataset with serialize and unserialized data.
if self.serialize_data:
date_bytes, data_address = \
data_bytes, data_address = \
self._get_serialized_subset(indices)
sub_dataset.date_bytes = date_bytes.copy()
sub_dataset.data_bytes = data_bytes.copy()
sub_dataset.data_address = data_address.copy()
else:
data_list = self._get_unserialized_subset(indices)
@ -650,7 +650,7 @@ class BaseDataset(Dataset):
Tuple[np.ndarray, np.ndarray]: subset of serialized data
information.
"""
sub_date_bytes: Union[List, np.ndarray]
sub_data_bytes: Union[List, np.ndarray]
sub_data_address: Union[List, np.ndarray]
if isinstance(indices, int):
if indices >= 0:
@ -661,7 +661,7 @@ class BaseDataset(Dataset):
if indices > 0 else 0
# Slicing operation of `np.ndarray` does not trigger a memory
# copy.
sub_date_bytes = self.date_bytes[:end_addr]
sub_data_bytes = self.data_bytes[:end_addr]
# Since the buffer size of first few data information is not
# changed,
sub_data_address = self.data_address[:indices]
@ -671,11 +671,11 @@ class BaseDataset(Dataset):
# Return the last few data information.
ignored_bytes_size = self.data_address[indices - 1]
start_addr = self.data_address[indices - 1].item()
sub_date_bytes = self.date_bytes[start_addr:]
sub_data_bytes = self.data_bytes[start_addr:]
sub_data_address = self.data_address[indices:]
sub_data_address = sub_data_address - ignored_bytes_size
elif isinstance(indices, Sequence):
sub_date_bytes = []
sub_data_bytes = []
sub_data_address = []
for idx in indices:
assert len(self) > idx >= -len(self)
@ -683,20 +683,20 @@ class BaseDataset(Dataset):
self.data_address[idx - 1].item()
end_addr = self.data_address[idx].item()
# Get data information by address.
sub_date_bytes.append(self.date_bytes[start_addr:end_addr])
sub_data_bytes.append(self.data_bytes[start_addr:end_addr])
# Get data information size.
sub_data_address.append(end_addr - start_addr)
# Handle indices is an empty list.
if sub_date_bytes:
sub_date_bytes = np.concatenate(sub_date_bytes)
if sub_data_bytes:
sub_data_bytes = np.concatenate(sub_data_bytes)
sub_data_address = np.cumsum(sub_data_address)
else:
sub_date_bytes = np.array([])
sub_data_bytes = np.array([])
sub_data_address = np.array([])
else:
raise TypeError('indices should be a int or sequence of int, '
f'but got {type(indices)}')
return sub_date_bytes, sub_data_address # type: ignore
return sub_data_bytes, sub_data_address # type: ignore
def _get_unserialized_subset(self, indices: Union[Sequence[int],
int]) -> list:
@ -795,7 +795,7 @@ class BaseDataset(Dataset):
def _copy_without_annotation(self, memo=dict()) -> 'BaseDataset':
"""Deepcopy for all attributes other than ``data_list``,
``data_address`` and ``date_bytes``.
``data_address`` and ``data_bytes``.
Args:
memo: Memory dict which used to reconstruct complex object
@ -806,7 +806,7 @@ class BaseDataset(Dataset):
memo[id(self)] = other
for key, value in self.__dict__.items():
if key in ['data_list', 'data_address', 'date_bytes']:
if key in ['data_list', 'data_address', 'data_bytes']:
continue
super(BaseDataset, other).__setattr__(key,
copy.deepcopy(value, memo))