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Running
on
Zero
# 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 typing import Any, Tuple | |
from torchvision.datasets import VisionDataset | |
from .decoders import TargetDecoder, ImageDataDecoder | |
class ExtendedVisionDataset(VisionDataset): | |
def __init__(self, *args, **kwargs) -> None: | |
super().__init__(*args, **kwargs) # type: ignore | |
def get_image_data(self, index: int) -> bytes: | |
raise NotImplementedError | |
def get_target(self, index: int) -> Any: | |
raise NotImplementedError | |
def __getitem__(self, index: int) -> Tuple[Any, Any]: | |
try: | |
image_data = self.get_image_data(index) | |
image = ImageDataDecoder(image_data).decode() | |
except Exception as e: | |
raise RuntimeError(f"can not read image for sample {index}") from e | |
target = self.get_target(index) | |
target = TargetDecoder(target).decode() | |
if self.transforms is not None: | |
image, target = self.transforms(image, target) | |
return image, target | |
def __len__(self) -> int: | |
raise NotImplementedError | |