mmpretrain/tests/test_models/test_selfsup/test_maskfeat.py

21 lines
573 B
Python

# Copyright (c) OpenMMLab. All rights reserved.
import platform
import pytest
import torch
from mmpretrain.models import MaskFeatViT
backbone = dict(arch='b', patch_size=16)
@pytest.mark.skipif(platform.system() == 'Windows', reason='Windows mem limit')
def test_maskfeat_vit():
maskfeat_backbone = MaskFeatViT(**backbone)
maskfeat_backbone.init_weights()
fake_inputs = torch.randn((2, 3, 224, 224))
fake_mask = torch.randn((2, 14, 14))
fake_outputs = maskfeat_backbone(fake_inputs, fake_mask)
assert list(fake_outputs.shape) == [2, 197, 768]