# 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.
from typing import Literal
from cerebras.modelzoo.data.vision.classification.data.imagenet import (
ImageNet1KProcessor,
ImageNet1KProcessorConfig,
)
from cerebras.modelzoo.data.vision.masked_auto_encoding.MAEProcessor import (
MAEProcessor,
MAEProcessorConfig,
)
[docs]class ImageNet1KMAEProcessorConfig(
MAEProcessorConfig, ImageNet1KProcessorConfig
):
data_processor: Literal["ImageNet1KMAEProcessor"]
[docs]class ImageNet1KMAEProcessor(MAEProcessor, ImageNet1KProcessor):
def __init__(self, config: ImageNet1KMAEProcessorConfig):
if isinstance(config, dict):
config = ImageNet1KMAEProcessorConfig(**config)
MAEProcessor.__init__(self, config)
ImageNet1KProcessor.__init__(self, config)
def create_dataloader(self):
dataloader = super().create_dataloader()
dataloader.collate_fn = self.mae_collate_fn
return dataloader