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20 lines
510 B
Python
20 lines
510 B
Python
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# Copyright (c) OpenMMLab. All rights reserved.
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import platform
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import pytest
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import torch
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from mmpretrain.models import MAEViT
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backbone = dict(arch='b', patch_size=16, mask_ratio=0.75)
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@pytest.mark.skipif(platform.system() == 'Windows', reason='Windows mem limit')
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def test_mae_vit():
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mae_backbone = MAEViT(**backbone)
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mae_backbone.init_weights()
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fake_inputs = torch.randn((2, 3, 224, 224))
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fake_outputs = mae_backbone(fake_inputs)[0]
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assert list(fake_outputs.shape) == [2, 50, 768]
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