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fc69e38009
* [Feature] Add MoCo v3 (#194) * [Feature] add position embedding function * [Fature] modify nonlinear neck for vit backbone * [Feature] add mocov3 head * [Feature] modify cls_head for vit backbone * [Feature] add ViT backbone * [Feature] add mocov3 algorithm * [Docs] revise BYOL hook docstring * [Feature] add mocov3 vit small config files * [Feature] add mocov3 vit small linear eval config files * [Fix] solve conflict * [Fix] add mmcls * [Fix] fix docstring format * [Fix] fix isort * [Fix] add mmcls to runtime requirements * [Feature] remove duplicated codes * [Feature] add mocov3 related unit test * [Feature] revise position embedding function * [Feature] add UT codes * [Docs] add README.md * [Docs] add model links and results to model zoo * [Docs] fix model links * [Docs] add metafile * [Docs] modify install.md and add mmcls requirements * [Docs] modify description * [Fix] using specific arch name `mocov3-small` rather than general arch name `small` * [Fix] add mmcls * [Fix] fix arch name * [Feature] change name to `MoCoV3` * [Fix] fix unit test bug * [Feature] change `BYOLHook` name to `MomentumUpdateHook` * [Feature] change name to MoCoV3 * [Docs] modify description Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> * [Docs] update model zoo results (#195) * Bump version to v0.6.0 (#198) * [Docs] update model zoo results * Bump version to v0.6.0 Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com>
55 lines
1.4 KiB
Python
55 lines
1.4 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import pytest
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import torch
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from mmselfsup.models import MoCoV3
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backbone = dict(
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type='VisionTransformer',
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arch='mocov3-small', # embed_dim = 384
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img_size=224,
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patch_size=16,
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stop_grad_conv1=True)
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neck = dict(
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type='NonLinearNeck',
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in_channels=384,
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hid_channels=8,
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out_channels=8,
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num_layers=2,
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with_bias=False,
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with_last_bn=True,
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with_last_bn_affine=False,
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with_last_bias=False,
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with_avg_pool=False,
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vit_backbone=True)
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head = dict(
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type='MoCoV3Head',
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predictor=dict(
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type='NonLinearNeck',
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in_channels=8,
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hid_channels=8,
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out_channels=8,
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num_layers=2,
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with_bias=False,
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with_last_bn=True,
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with_last_bn_affine=False,
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with_last_bias=False,
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with_avg_pool=False),
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temperature=0.2)
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def test_mocov3():
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with pytest.raises(AssertionError):
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alg = MoCoV3(backbone=backbone, neck=None, head=head)
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with pytest.raises(AssertionError):
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alg = MoCoV3(backbone=backbone, neck=neck, head=None)
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alg = MoCoV3(backbone, neck, head)
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alg.init_weights()
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alg.momentum_update()
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fake_input = torch.randn((16, 3, 224, 224))
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fake_backbone_out = alg.extract_feat(fake_input)
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assert fake_backbone_out[0][0].size() == torch.Size([16, 384, 14, 14])
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assert fake_backbone_out[0][1].size() == torch.Size([16, 384])
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