def METHOD_NAME(self):
    tta_transform = dict(
        type='TestTimeAug',
        transforms=[[
            dict(type='Resize', scale=scale, keep_ratio=False)
            for scale in [(256, 256), (512, 512), (1024, 1024)]
        ],
                    [
                        dict(
                            type='mmdet.PackDetInputs',
                            meta_keys=('img_id', 'img_path', 'ori_shape',
                                       'img_shape', 'scale_factor'))
                    ]])
    tta_module = TRANSFORMS.build(tta_transform)
    results = dict()
    img = mmcv.imread(
        osp.join(osp.dirname(__file__), '../data/color.jpg'), 'color')
    results['img_id'] = '1'
    results['img_path'] = 'data/color.jpg'
    results['img'] = img
    results['ori_shape'] = img.shape
    results['ori_height'] = img.shape[0]
    results['ori_width'] = img.shape[1]
    # Set initial values for default meta_keys
    results['pad_shape'] = img.shape
    results['scale_factor'] = 1.0
    tta_results = tta_module(results.copy())
    assert [img.shape
            for img in tta_results['inputs']] == [(3, 256, 256),
                                                  (3, 512, 512),
                                                  (3, 1024, 1024)]
    tta_transform = dict(
        type='TestTimeAug',
        transforms=[
            [
                dict(type='Resize', scale=scale, keep_ratio=False)
                for scale in [(256, 256), (512, 512), (1024, 1024)]
            ],
            [
                dict(type='RandomFlip', prob=0., direction='horizontal'),
                dict(type='RandomFlip', prob=1., direction='horizontal')
            ],
            [
                dict(
                    type='mmdet.PackDetInputs',
                    meta_keys=('img_id', 'img_path', 'ori_shape',
                               'img_shape', 'scale_factor', 'flip',
                               'flip_direction'))
            ]
        ])
    tta_module = TRANSFORMS.build(tta_transform)
    tta_results: dict = tta_module(results.copy())
    assert [img.shape
            for img in tta_results['inputs']] == [(3, 256, 256),
                                                  (3, 256, 256),
                                                  (3, 512, 512),
                                                  (3, 512, 512),
                                                  (3, 1024, 1024),
                                                  (3, 1024, 1024)]
    assert [
        data_sample.metainfo['flip']
        for data_sample in tta_results['data_samples']
    ] == [False, True, False, True, False, True]
    tta_transform = dict(
        type='TestTimeAug',
        transforms=[[
            dict(type='Resize', scale=(512, 512), keep_ratio=False)
        ],
                    [
                        dict(
                            type='mmdet.PackDetInputs',
                            meta_keys=('img_id', 'img_path', 'ori_shape',
                                       'img_shape', 'scale_factor'))
                    ]])
    tta_module = TRANSFORMS.build(tta_transform)
    tta_results = tta_module(results.copy())
    assert [tta_results['inputs'][0].shape] == [(3, 512, 512)]
    tta_transform = dict(
        type='TestTimeAug',
        transforms=[
            [dict(type='Resize', scale=(512, 512), keep_ratio=False)],
            [
                dict(type='RandomFlip', prob=0., direction='horizontal'),
                dict(type='RandomFlip', prob=1., direction='horizontal')
            ],
            [
                dict(
                    type='mmdet.PackDetInputs',
                    meta_keys=('img_id', 'img_path', 'ori_shape',
                               'img_shape', 'scale_factor', 'flip',
                               'flip_direction'))
            ]
        ])
    tta_module = TRANSFORMS.build(tta_transform)
    tta_results = tta_module(results.copy())
    assert [img.shape for img in tta_results['inputs']] == [(3, 512, 512),
                                                            (3, 512, 512)]
    assert [
        data_sample.metainfo['flip']
        for data_sample in tta_results['data_samples']
    ] == [False, True]
    tta_transform = dict(
        type='TestTimeAug',
        transforms=[[
            dict(type='Resize', scale_factor=r, keep_ratio=False)
            for r in [0.5, 1.0, 2.0]
        ],
                    [
                        dict(
                            type='mmdet.PackDetInputs',
                            meta_keys=('img_id', 'img_path', 'ori_shape',
                                       'img_shape', 'scale_factor'))
                    ]])
    tta_module = TRANSFORMS.build(tta_transform)
    tta_results = tta_module(results.copy())
    assert [img.shape for img in tta_results['inputs']] == [(3, 144, 256),
                                                            (3, 288, 512),
                                                            (3, 576, 1024)]
    tta_transform = dict(
        type='TestTimeAug',
        transforms=[
            [
                dict(type='Resize', scale_factor=r, keep_ratio=True)
                for r in [0.5, 1.0, 2.0]
            ],
            [
                dict(type='RandomFlip', prob=0., direction='horizontal'),
                dict(type='RandomFlip', prob=1., direction='horizontal')
            ],
            [
                dict(
                    type='mmdet.PackDetInputs',
                    meta_keys=('img_id', 'img_path', 'ori_shape',
                               'img_shape', 'scale_factor', 'flip',
                               'flip_direction'))
            ]
        ])
    tta_module = TRANSFORMS.build(tta_transform)
    tta_results = tta_module(results.copy())
    assert [img.shape for img in tta_results['inputs']] == [(3, 144, 256),
                                                            (3, 144, 256),
                                                            (3, 288, 512),
                                                            (3, 288, 512),
                                                            (3, 576, 1024),
                                                            (3, 576, 1024)]
    assert [
        data_sample.metainfo['flip']
        for data_sample in tta_results['data_samples']
    ] == [False, True, False, True, False, True]