mirror of
https://github.com/open-mmlab/mmocr.git
synced 2025-06-03 21:54:47 +08:00
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
|
|
from unittest import TestCase
|
|
|
|
import torch
|
|
from parameterized import parameterized
|
|
|
|
from mmocr.models.textrecog.plugins import GCAModule
|
|
|
|
|
|
class TestGCAModule(TestCase):
|
|
|
|
def setUp(self) -> None:
|
|
self.img = torch.rand(1, 32, 32, 100)
|
|
|
|
@parameterized.expand([('att'), ('avg')])
|
|
def test_gca_module_pooling(self, pooling_type):
|
|
gca_module = GCAModule(
|
|
in_channels=32,
|
|
ratio=0.0625,
|
|
n_head=1,
|
|
pooling_type=pooling_type,
|
|
is_att_scale=False,
|
|
fusion_type='channel_add')
|
|
self.assertEqual(
|
|
gca_module(self.img).shape, torch.Size([1, 32, 32, 100]))
|
|
|
|
@parameterized.expand([('channel_add'), ('channel_mul'),
|
|
('channel_concat')])
|
|
def test_gca_module_fusion(self, fusion_type):
|
|
gca_module = GCAModule(
|
|
in_channels=32,
|
|
ratio=0.0625,
|
|
n_head=1,
|
|
pooling_type='att',
|
|
is_att_scale=False,
|
|
fusion_type=fusion_type)
|
|
self.assertEqual(
|
|
gca_module(self.img).shape, torch.Size([1, 32, 32, 100]))
|