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22 lines
648 B
Python
22 lines
648 B
Python
# 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 mmselfsup.models.backbones import SimMIMSwinTransformer
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backbone = dict(
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arch='B', img_size=192, stage_cfgs=dict(block_cfgs=dict(window_size=6)))
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@pytest.mark.skipif(platform.system() == 'Windows', reason='Windows mem limit')
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def test_cae_vit():
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simmim_backbone = SimMIMSwinTransformer(**backbone)
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simmim_backbone.init_weights()
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fake_inputs = torch.randn((2, 3, 192, 192))
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fake_mask = torch.rand((2, 48, 48))
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fake_outputs = simmim_backbone(fake_inputs, fake_mask)[0]
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assert list(fake_outputs.shape) == [2, 1024, 6, 6]
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