# Copyright (c) OpenMMLab. All rights reserved.

import os.path as osp

import mmcv

from mmseg.apis import inference_segmentor, init_segmentor

def test_test_time_augmentation_on_cpu():

    config_file = 'configs/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes.py'

    config = mmcv.Config.fromfile(config_file)

    # Remove pretrain model download for testing

    config.model.pretrained = None

    # Replace SyncBN with BN to inference on CPU

    norm_cfg = dict(type='BN', requires_grad=True)

    config.model.backbone.norm_cfg = norm_cfg

    config.model.decode_head.norm_cfg = norm_cfg

    config.model.auxiliary_head.norm_cfg = norm_cfg

    # Enable test time augmentation

    config.data.test.pipeline[1].flip = True

    checkpoint_file = None

    model = init_segmentor(config, checkpoint_file, device='cpu')

    img = mmcv.imread(

        osp.join(osp.dirname(__file__), 'data/color.jpg'), 'color')

    result = inference_segmentor(model, img)

    assert result[0].shape == (288, 512)