Spaces:
Sleeping
Sleeping
# Copyright (c) Facebook, Inc. and its affiliates. | |
from typing import Any, Tuple, Type | |
import torch | |
class BaseConverter: | |
""" | |
Converter base class to be reused by various converters. | |
Converter allows one to convert data from various source types to a particular | |
destination type. Each source type needs to register its converter. The | |
registration for each source type is valid for all descendants of that type. | |
""" | |
def register(cls, from_type: Type, converter: Any = None): | |
""" | |
Registers a converter for the specified type. | |
Can be used as a decorator (if converter is None), or called as a method. | |
Args: | |
from_type (type): type to register the converter for; | |
all instances of this type will use the same converter | |
converter (callable): converter to be registered for the given | |
type; if None, this method is assumed to be a decorator for the converter | |
""" | |
if converter is not None: | |
cls._do_register(from_type, converter) | |
def wrapper(converter: Any) -> Any: | |
cls._do_register(from_type, converter) | |
return converter | |
return wrapper | |
def _do_register(cls, from_type: Type, converter: Any): | |
cls.registry[from_type] = converter # pyre-ignore[16] | |
def _lookup_converter(cls, from_type: Type) -> Any: | |
""" | |
Perform recursive lookup for the given type | |
to find registered converter. If a converter was found for some base | |
class, it gets registered for this class to save on further lookups. | |
Args: | |
from_type: type for which to find a converter | |
Return: | |
callable or None - registered converter or None | |
if no suitable entry was found in the registry | |
""" | |
if from_type in cls.registry: # pyre-ignore[16] | |
return cls.registry[from_type] | |
for base in from_type.__bases__: | |
converter = cls._lookup_converter(base) | |
if converter is not None: | |
cls._do_register(from_type, converter) | |
return converter | |
return None | |
def convert(cls, instance: Any, *args, **kwargs): | |
""" | |
Convert an instance to the destination type using some registered | |
converter. Does recursive lookup for base classes, so there's no need | |
for explicit registration for derived classes. | |
Args: | |
instance: source instance to convert to the destination type | |
Return: | |
An instance of the destination type obtained from the source instance | |
Raises KeyError, if no suitable converter found | |
""" | |
instance_type = type(instance) | |
converter = cls._lookup_converter(instance_type) | |
if converter is None: | |
if cls.dst_type is None: # pyre-ignore[16] | |
output_type_str = "itself" | |
else: | |
output_type_str = cls.dst_type | |
raise KeyError(f"Could not find converter from {instance_type} to {output_type_str}") | |
return converter(instance, *args, **kwargs) | |
IntTupleBox = Tuple[int, int, int, int] | |
def make_int_box(box: torch.Tensor) -> IntTupleBox: | |
int_box = [0, 0, 0, 0] | |
int_box[0], int_box[1], int_box[2], int_box[3] = tuple(box.long().tolist()) | |
return int_box[0], int_box[1], int_box[2], int_box[3] | |