mirror of
https://github.com/wassname/pytorch-ts.git
synced 2026-07-11 23:08:34 +08:00
Dr. Kashif Rasul
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License").
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# You may not use this file except in compliance with the License.
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# A copy of the License is located at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# or in the "license" file accompanying this file. This file is distributed
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# on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
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# express or implied. See the License for the specific language governing
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# permissions and limitations under the License.
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from typing import Iterator, List
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from pts.dataset import DataEntry, Dataset
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from .transform import Chain, Transformation
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class TransformedDataset(Dataset):
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"""
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A dataset that corresponds to applying a list of transformations to each
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element in the base_dataset.
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This only supports SimpleTransformations, which do the same thing at
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prediction and training time.
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Parameters
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----------
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base_dataset
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Dataset to transform
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transformations
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List of transformations to apply
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"""
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def __init__(
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self, base_dataset: Dataset, transformations: List[Transformation]
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) -> None:
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self.base_dataset = base_dataset
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self.transformations = Chain(transformations)
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def __iter__(self) -> Iterator[DataEntry]:
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yield from self.transformations(self.base_dataset, is_train=True)
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def __len__(self):
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return sum(1 for _ in self)
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