module emote.memory.storage
Classes
class BaseStorage(dict):
A simple dictionary-based storage with support for a temporary workspace for sampled data.
Methods
def __init__(self, shape, dtype) -> None
Arguments:
shapedtype
def get_empty_storage(self, count, length) -> None
A workspace that can be reused to skip reallocating the same numpy buffer each time the memory is sampled.
Will not work if the memory is sampled from multiple threads.
Arguments:
countlength
def sequence_length_transform(self, length) -> None
def post_import(self) -> None
class TagProxy:
Methods
def shape(self) -> None
def __init__(self, shape, dtype) -> None
def get_empty_storage(self, count, length) -> None
A workspace that can be reused to skip reallocating the same numpy buffer each time the memory is sampled.
Will not work if the memory is sampled from multiple threads.
Arguments:
countlength
def sequence_length_transform(self, length) -> None
def post_import(self) -> None
def shape(self) -> None
class VirtualStorage:
A virtual storage uses a simple storage to generate data.
Methods
def __init__(self, storage, shape, dtype) -> None
Arguments:
storageshapedtype
def shape(self) -> None
def sequence_length_transform(self, length) -> None
def get_empty_storage(self, count, length) -> None
def post_import(self) -> None
class LastWrapper:
Methods
def __init__(self, item) -> None
def shape(self) -> None
def __init__(self, item) -> None
def shape(self) -> None
def __init__(self, storage, shape, dtype, only_last) -> None
def sequence_length_transform(self, length) -> None
def with_only_last(storage, shape, dtype) -> None
class Wrapper:
Methods
def __init__(self, item, n) -> None
def shape(self) -> None
def __init__(self, storage, shape, dtype) -> None
def sequence_length_transform(self, length) -> None
def with_n(n) -> None
class MaskWrapper(Wrapper):
Methods
def __init__(self, length, shape, dtype) -> None
def shape(self) -> None
def __init__(self, storage, shape, dtype, mask) -> None
def as_mask(storage, shape, dtype) -> None