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* [legacy] remove outdated codes of pipeline (#4692) * [legacy] remove cli of benchmark and update optim (#4690) * [legacy] remove cli of benchmark and update optim * [doc] fix cli doc test * [legacy] fix engine clip grad norm * [legacy] remove outdated colo tensor (#4694) * [legacy] remove outdated colo tensor * [test] fix test import * [legacy] move outdated zero to legacy (#4696) * [legacy] clean up utils (#4700) * [legacy] clean up utils * [example] update examples * [legacy] clean up amp * [legacy] fix amp module * [legacy] clean up gpc (#4742) * [legacy] clean up context * [legacy] clean core, constants and global vars * [legacy] refactor initialize * [example] fix examples ci * [example] fix examples ci * [legacy] fix tests * [example] fix gpt example * [example] fix examples ci * [devops] fix ci installation * [example] fix examples ci
28 lines
724 B
Python
28 lines
724 B
Python
#!/usr/bin/env python
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# -*- encoding: utf-8 -*-
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import os
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from pathlib import Path
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import pytest
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from torch.utils.data import DataLoader
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from torchvision import datasets, transforms
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def test_cifar10_dataset():
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# build transform
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transform_pipeline = [transforms.ToTensor()]
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transform_pipeline = transforms.Compose(transform_pipeline)
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# build dataset
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dataset = datasets.CIFAR10(root=Path(os.environ['DATA']), train=True, download=True, transform=transform_pipeline)
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# build dataloader
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dataloader = DataLoader(dataset=dataset, batch_size=4, shuffle=True, num_workers=2)
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data_iter = iter(dataloader)
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img, label = data_iter.next()
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if __name__ == '__main__':
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test_cifar10_dataset()
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