Source code for cerebras.modelzoo.data.vision.classification.data.imagenet

# Copyright 2022 Cerebras Systems.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import os

import torchvision

import cerebras.pytorch as cstorch
import cerebras.pytorch.distributed as dist
from cerebras.modelzoo.common.registry import registry
from cerebras.modelzoo.data.vision.classification.dataset_factory import (
    Processor,
)
from cerebras.modelzoo.data.vision.utils import create_worker_cache


@registry.register_datasetprocessor("ImageNet1KProcessor")
class ImageNet1KProcessor(Processor):
    def __init__(self, params):
        super().__init__(params)
        self.use_worker_cache = params["use_worker_cache"]
        self.allowable_split = ["train", "val"]
        self.num_classes = 1000

    def create_dataset(self, use_training_transforms=True, split="train"):
        if self.use_worker_cache and dist.is_streamer():
            if not cstorch.use_cs():
                raise RuntimeError(
                    "use_worker_cache not supported for non-CS runs"
                )
            else:
                self.data_dir = create_worker_cache(self.data_dir)

        self.check_split_valid(split)
        transform, target_transform = self.process_transform(
            use_training_transforms
        )

        if not os.path.isfile(os.path.join(self.data_dir, "meta.bin")):
            raise RuntimeError(
                "The meta file meta.bin is not present in the root directory. "
                "Check vision/pytorch/input/classification/data/README.md for "
                "more details on downloading the dataset."
            )

        if not os.path.isdir(os.path.join(self.data_dir, split)):
            raise RuntimeError(
                f"No directory {split} under root dir. Refer to "
                "vision/pytorch/input/classification/data/README.md on how to "
                "prepare the dataset."
            )

        dataset = torchvision.datasets.ImageNet(
            root=self.data_dir,
            split=split,
            transform=transform,
            target_transform=target_transform,
        )
        return dataset