diff --git a/.travis.yml b/.travis.yml
index 8ef07f0559c9d8bcbeee6dd6452d91d5d6d83b1f..35a68d79cc4110c7799d6c635d6b32df02d2835b 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -11,5 +11,5 @@ python:
 
 script:
   - flake8
-  - isort -rc --diff mmdet/ tools/
+  - isort -rc --check-only --diff mmdet/ tools/
   - yapf -r -d --style .style.yapf mmdet/ tools/
\ No newline at end of file
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 6213308b55709780c44691c2328d9fabd8654f46..d459d15abd1096ca5c7ad759f62dafc39bac2e16 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -21,8 +21,13 @@ please contact Kai Chen (chenkaidev[at]gmail[dot]com). We will much appreciate y
 
 ### Python
 We adopt [PEP8](https://www.python.org/dev/peps/pep-0008/) as the preferred code style.
-We use [flake8](http://flake8.pycqa.org/en/latest/) as the linter and [yapf](https://github.com/google/yapf) as the formatter.
-Please upgrade to the latest yapf (>=0.27.0) and refer to the [configuration](.style.yapf).
+
+We use the following tools for linting and formatting:
+- [flake8](http://flake8.pycqa.org/en/latest/): linter
+- [yapf](https://github.com/google/yapf): formatter
+- [isort](https://github.com/timothycrosley/isort): sort imports
+
+Style configurations of yapf and isort can be found in [.style.yapf](.style.yapf) and [.isort.cfg](.isort.cfg).
 
 >Before you create a PR, make sure that your code lints and is formatted by yapf.
 
diff --git a/mmdet/apis/__init__.py b/mmdet/apis/__init__.py
index 762f5aba1c56ff29e1c7bba438743d0a4c0257b9..57ba16515c786535378110b8430cbadfa8476104 100644
--- a/mmdet/apis/__init__.py
+++ b/mmdet/apis/__init__.py
@@ -1,6 +1,6 @@
-from .env import init_dist, get_root_logger, set_random_seed
+from .env import get_root_logger, init_dist, set_random_seed
+from .inference import inference_detector, init_detector, show_result
 from .train import train_detector
-from .inference import init_detector, inference_detector, show_result
 
 __all__ = [
     'init_dist', 'get_root_logger', 'set_random_seed', 'train_detector',
diff --git a/mmdet/core/anchor/__init__.py b/mmdet/core/anchor/__init__.py
index 304d4938a1dce7a68e3b1660af843209ba5b5d30..a5f070f8bbe9a7293acf13fd89d480827eba3a69 100644
--- a/mmdet/core/anchor/__init__.py
+++ b/mmdet/core/anchor/__init__.py
@@ -1,5 +1,5 @@
 from .anchor_generator import AnchorGenerator
-from .anchor_target import anchor_target, anchor_inside_flags
+from .anchor_target import anchor_inside_flags, anchor_target
 from .guided_anchor_target import ga_loc_target, ga_shape_target
 
 __all__ = [
diff --git a/mmdet/core/bbox/__init__.py b/mmdet/core/bbox/__init__.py
index bcf6efda4772a44c1e63b45e443c87c19da20cd1..fc6702cf03af8412e006e311060869d6e1cf99d3 100644
--- a/mmdet/core/bbox/__init__.py
+++ b/mmdet/core/bbox/__init__.py
@@ -1,13 +1,13 @@
+from .assign_sampling import assign_and_sample, build_assigner, build_sampler
+from .assigners import AssignResult, BaseAssigner, MaxIoUAssigner
+from .bbox_target import bbox_target
 from .geometry import bbox_overlaps
-from .assigners import BaseAssigner, MaxIoUAssigner, AssignResult
-from .samplers import (BaseSampler, PseudoSampler, RandomSampler,
+from .samplers import (BaseSampler, CombinedSampler,
                        InstanceBalancedPosSampler, IoUBalancedNegSampler,
-                       CombinedSampler, SamplingResult)
-from .assign_sampling import build_assigner, build_sampler, assign_and_sample
-from .transforms import (bbox2delta, delta2bbox, bbox_flip, bbox_mapping,
-                         bbox_mapping_back, bbox2roi, roi2bbox, bbox2result,
-                         distance2bbox)
-from .bbox_target import bbox_target
+                       PseudoSampler, RandomSampler, SamplingResult)
+from .transforms import (bbox2delta, bbox2result, bbox2roi, bbox_flip,
+                         bbox_mapping, bbox_mapping_back, delta2bbox,
+                         distance2bbox, roi2bbox)
 
 __all__ = [
     'bbox_overlaps', 'BaseAssigner', 'MaxIoUAssigner', 'AssignResult',
diff --git a/mmdet/core/bbox/assigners/__init__.py b/mmdet/core/bbox/assigners/__init__.py
index fafa3fa084895c0c1a5f2e326b46f794d8a0e494..594e8406b5dad0ef381a9dd9d2ec9fbb75e0efd7 100644
--- a/mmdet/core/bbox/assigners/__init__.py
+++ b/mmdet/core/bbox/assigners/__init__.py
@@ -1,7 +1,7 @@
-from .base_assigner import BaseAssigner
-from .max_iou_assigner import MaxIoUAssigner
 from .approx_max_iou_assigner import ApproxMaxIoUAssigner
 from .assign_result import AssignResult
+from .base_assigner import BaseAssigner
+from .max_iou_assigner import MaxIoUAssigner
 
 __all__ = [
     'BaseAssigner', 'MaxIoUAssigner', 'ApproxMaxIoUAssigner', 'AssignResult'
diff --git a/mmdet/core/bbox/samplers/__init__.py b/mmdet/core/bbox/samplers/__init__.py
index 167044f5baae2d2e99a705784866706790127edc..d709d8ecb24300088a1b3b034bdc5e5f6b26a04f 100644
--- a/mmdet/core/bbox/samplers/__init__.py
+++ b/mmdet/core/bbox/samplers/__init__.py
@@ -1,10 +1,10 @@
 from .base_sampler import BaseSampler
-from .pseudo_sampler import PseudoSampler
-from .random_sampler import RandomSampler
+from .combined_sampler import CombinedSampler
 from .instance_balanced_pos_sampler import InstanceBalancedPosSampler
 from .iou_balanced_neg_sampler import IoUBalancedNegSampler
-from .combined_sampler import CombinedSampler
 from .ohem_sampler import OHEMSampler
+from .pseudo_sampler import PseudoSampler
+from .random_sampler import RandomSampler
 from .sampling_result import SamplingResult
 
 __all__ = [
diff --git a/mmdet/core/evaluation/__init__.py b/mmdet/core/evaluation/__init__.py
index 4585c23229fd85419e6e5eacde8c1da48bb79bdf..90703fe65840465910149a3db9e04f4226ee3e0c 100644
--- a/mmdet/core/evaluation/__init__.py
+++ b/mmdet/core/evaluation/__init__.py
@@ -1,12 +1,12 @@
-from .class_names import (voc_classes, imagenet_det_classes,
-                          imagenet_vid_classes, coco_classes, dataset_aliases,
-                          get_classes)
+from .class_names import (coco_classes, dataset_aliases, get_classes,
+                          imagenet_det_classes, imagenet_vid_classes,
+                          voc_classes)
 from .coco_utils import coco_eval, fast_eval_recall, results2json
-from .eval_hooks import (DistEvalHook, DistEvalmAPHook, CocoDistEvalRecallHook,
-                         CocoDistEvalmAPHook)
+from .eval_hooks import (CocoDistEvalmAPHook, CocoDistEvalRecallHook,
+                         DistEvalHook, DistEvalmAPHook)
 from .mean_ap import average_precision, eval_map, print_map_summary
-from .recall import (eval_recalls, print_recall_summary, plot_num_recall,
-                     plot_iou_recall)
+from .recall import (eval_recalls, plot_iou_recall, plot_num_recall,
+                     print_recall_summary)
 
 __all__ = [
     'voc_classes', 'imagenet_det_classes', 'imagenet_vid_classes',
diff --git a/mmdet/core/mask/__init__.py b/mmdet/core/mask/__init__.py
index b703b55d3eb92821c28ef38579fcbebeb1fa12cf..845e7180e3940fe1e886ee39d6e6c8c6d156b2a1 100644
--- a/mmdet/core/mask/__init__.py
+++ b/mmdet/core/mask/__init__.py
@@ -1,4 +1,4 @@
-from .utils import split_combined_polys
 from .mask_target import mask_target
+from .utils import split_combined_polys
 
 __all__ = ['split_combined_polys', 'mask_target']
diff --git a/mmdet/core/post_processing/__init__.py b/mmdet/core/post_processing/__init__.py
index 1b24a3fc68525de1c73d687404990bd521bdf5b0..11c3d30adf800302280de07553ee9751a156b092 100644
--- a/mmdet/core/post_processing/__init__.py
+++ b/mmdet/core/post_processing/__init__.py
@@ -1,6 +1,6 @@
 from .bbox_nms import multiclass_nms
-from .merge_augs import (merge_aug_proposals, merge_aug_bboxes,
-                         merge_aug_scores, merge_aug_masks)
+from .merge_augs import (merge_aug_bboxes, merge_aug_masks,
+                         merge_aug_proposals, merge_aug_scores)
 
 __all__ = [
     'multiclass_nms', 'merge_aug_proposals', 'merge_aug_bboxes',
diff --git a/mmdet/core/utils/__init__.py b/mmdet/core/utils/__init__.py
index 89e952ee5f9c2a546485c270834b36df1412fffa..cc999ea101eeb83881a6a70838ba7fbcf0ee69af 100644
--- a/mmdet/core/utils/__init__.py
+++ b/mmdet/core/utils/__init__.py
@@ -1,5 +1,5 @@
-from .dist_utils import allreduce_grads, DistOptimizerHook
-from .misc import tensor2imgs, unmap, multi_apply
+from .dist_utils import DistOptimizerHook, allreduce_grads
+from .misc import multi_apply, tensor2imgs, unmap
 
 __all__ = [
     'allreduce_grads', 'DistOptimizerHook', 'tensor2imgs', 'unmap',
diff --git a/mmdet/datasets/__init__.py b/mmdet/datasets/__init__.py
index 6d0f12f60b2f64bb9cee039a8e3e593ad5b131cd..11b7569ac2e67af993c6faa939b75f4aa64136bc 100644
--- a/mmdet/datasets/__init__.py
+++ b/mmdet/datasets/__init__.py
@@ -1,15 +1,15 @@
-from .custom import CustomDataset
-from .xml_style import XMLDataset
-from .coco import CocoDataset
+from .builder import build_dataset
 from .cityscapes import CityscapesDataset
-from .voc import VOCDataset
-from .wider_face import WIDERFaceDataset
-from .loader import GroupSampler, DistributedGroupSampler, build_dataloader
-from .utils import to_tensor, random_scale, show_ann
+from .coco import CocoDataset
+from .custom import CustomDataset
 from .dataset_wrappers import ConcatDataset, RepeatDataset
 from .extra_aug import ExtraAugmentation
+from .loader import DistributedGroupSampler, GroupSampler, build_dataloader
 from .registry import DATASETS
-from .builder import build_dataset
+from .utils import random_scale, show_ann, to_tensor
+from .voc import VOCDataset
+from .wider_face import WIDERFaceDataset
+from .xml_style import XMLDataset
 
 __all__ = [
     'CustomDataset', 'XMLDataset', 'CocoDataset', 'VOCDataset',
diff --git a/mmdet/datasets/loader/__init__.py b/mmdet/datasets/loader/__init__.py
index 1f23fa4436df8587cfa1476d28673117fa0c5e83..4404615be66d7ce54e51e057652b2785c2e409ff 100644
--- a/mmdet/datasets/loader/__init__.py
+++ b/mmdet/datasets/loader/__init__.py
@@ -1,4 +1,4 @@
 from .build_loader import build_dataloader
-from .sampler import GroupSampler, DistributedGroupSampler
+from .sampler import DistributedGroupSampler, GroupSampler
 
 __all__ = ['GroupSampler', 'DistributedGroupSampler', 'build_dataloader']
diff --git a/mmdet/models/__init__.py b/mmdet/models/__init__.py
index c1776bf84d33532232ce13a7f5c6003f2e1397b4..35f0a09e3acb5658b9e5065a84335c81f0a939d4 100644
--- a/mmdet/models/__init__.py
+++ b/mmdet/models/__init__.py
@@ -1,17 +1,16 @@
+from .anchor_heads import *  # noqa: F401,F403
 from .backbones import *  # noqa: F401,F403
+from .bbox_heads import *  # noqa: F401,F403
+from .builder import (build_backbone, build_detector, build_head, build_loss,
+                      build_neck, build_roi_extractor, build_shared_head)
+from .detectors import *  # noqa: F401,F403
+from .losses import *  # noqa: F401,F403
+from .mask_heads import *  # noqa: F401,F403
 from .necks import *  # noqa: F401,F403
+from .registry import (BACKBONES, DETECTORS, HEADS, LOSSES, NECKS,
+                       ROI_EXTRACTORS, SHARED_HEADS)
 from .roi_extractors import *  # noqa: F401,F403
-from .anchor_heads import *  # noqa: F401,F403
 from .shared_heads import *  # noqa: F401,F403
-from .bbox_heads import *  # noqa: F401,F403
-from .mask_heads import *  # noqa: F401,F403
-from .losses import *  # noqa: F401,F403
-from .detectors import *  # noqa: F401,F403
-from .registry import (BACKBONES, NECKS, ROI_EXTRACTORS, SHARED_HEADS, HEADS,
-                       LOSSES, DETECTORS)
-from .builder import (build_backbone, build_neck, build_roi_extractor,
-                      build_shared_head, build_head, build_loss,
-                      build_detector)
 
 __all__ = [
     'BACKBONES', 'NECKS', 'ROI_EXTRACTORS', 'SHARED_HEADS', 'HEADS', 'LOSSES',
diff --git a/mmdet/models/anchor_heads/__init__.py b/mmdet/models/anchor_heads/__init__.py
index 798b1bcab3ec8b60c0e1bb7ea836e60a277ae8f6..f5a54ce4cfe1aadf1cf61d2bda714b5413bf013d 100644
--- a/mmdet/models/anchor_heads/__init__.py
+++ b/mmdet/models/anchor_heads/__init__.py
@@ -1,10 +1,10 @@
 from .anchor_head import AnchorHead
-from .guided_anchor_head import GuidedAnchorHead, FeatureAdaption
 from .fcos_head import FCOSHead
-from .rpn_head import RPNHead
+from .ga_retina_head import GARetinaHead
 from .ga_rpn_head import GARPNHead
+from .guided_anchor_head import FeatureAdaption, GuidedAnchorHead
 from .retina_head import RetinaHead
-from .ga_retina_head import GARetinaHead
+from .rpn_head import RPNHead
 from .ssd_head import SSDHead
 
 __all__ = [
diff --git a/mmdet/models/backbones/__init__.py b/mmdet/models/backbones/__init__.py
index 6e5abffcc1d64c212ba932c903cbaa1665ed334a..6fb56d63c8898a83f7b779c8c22cf52880f202c5 100644
--- a/mmdet/models/backbones/__init__.py
+++ b/mmdet/models/backbones/__init__.py
@@ -1,6 +1,6 @@
+from .hrnet import HRNet
 from .resnet import ResNet, make_res_layer
 from .resnext import ResNeXt
 from .ssd_vgg import SSDVGG
-from .hrnet import HRNet
 
 __all__ = ['ResNet', 'make_res_layer', 'ResNeXt', 'SSDVGG', 'HRNet']
diff --git a/mmdet/models/bbox_heads/double_bbox_head.py b/mmdet/models/bbox_heads/double_bbox_head.py
index 7211d9b49373f2c646e6c30c8c02f60b6c8f7a35..c02039bee9ed2b5bd08b78249481d41c0f4de605 100644
--- a/mmdet/models/bbox_heads/double_bbox_head.py
+++ b/mmdet/models/bbox_heads/double_bbox_head.py
@@ -1,10 +1,10 @@
 import torch.nn as nn
 from mmcv.cnn.weight_init import normal_init, xavier_init
 
-from .bbox_head import BBoxHead
 from ..backbones.resnet import Bottleneck
 from ..registry import HEADS
 from ..utils import ConvModule
+from .bbox_head import BBoxHead
 
 
 class BasicResBlock(nn.Module):
diff --git a/mmdet/models/detectors/__init__.py b/mmdet/models/detectors/__init__.py
index 4d97b49e2e93c8dabb4a263bf54c2c5bd5fe66e5..d613a3bf7bdb3e95fa165a37c3036ecad36b4b34 100644
--- a/mmdet/models/detectors/__init__.py
+++ b/mmdet/models/detectors/__init__.py
@@ -1,17 +1,17 @@
 from .base import BaseDetector
-from .single_stage import SingleStageDetector
-from .two_stage import TwoStageDetector
-from .rpn import RPN
-from .fast_rcnn import FastRCNN
-from .faster_rcnn import FasterRCNN
-from .mask_rcnn import MaskRCNN
 from .cascade_rcnn import CascadeRCNN
 from .double_head_rcnn import DoubleHeadRCNN
-from .htc import HybridTaskCascade
-from .retinanet import RetinaNet
+from .fast_rcnn import FastRCNN
+from .faster_rcnn import FasterRCNN
 from .fcos import FCOS
 from .grid_rcnn import GridRCNN
+from .htc import HybridTaskCascade
+from .mask_rcnn import MaskRCNN
 from .mask_scoring_rcnn import MaskScoringRCNN
+from .retinanet import RetinaNet
+from .rpn import RPN
+from .single_stage import SingleStageDetector
+from .two_stage import TwoStageDetector
 
 __all__ = [
     'BaseDetector', 'SingleStageDetector', 'TwoStageDetector', 'RPN',
diff --git a/mmdet/models/detectors/double_head_rcnn.py b/mmdet/models/detectors/double_head_rcnn.py
index 50001872713a3ea57750cda28d1805be8ad434dc..08f998b8aeba2f3c098332a8d169031c04f2a970 100644
--- a/mmdet/models/detectors/double_head_rcnn.py
+++ b/mmdet/models/detectors/double_head_rcnn.py
@@ -1,8 +1,8 @@
 import torch
 
-from .two_stage import TwoStageDetector
-from ..registry import DETECTORS
 from mmdet.core import bbox2roi, build_assigner, build_sampler
+from ..registry import DETECTORS
+from .two_stage import TwoStageDetector
 
 
 @DETECTORS.register_module
diff --git a/mmdet/models/losses/__init__.py b/mmdet/models/losses/__init__.py
index 531e5f1b85883230e919c8fd1a156f000251a88e..992741ae4b8cde5897782ecb4b420c6971ba8b8b 100644
--- a/mmdet/models/losses/__init__.py
+++ b/mmdet/models/losses/__init__.py
@@ -1,12 +1,12 @@
-from .accuracy import accuracy, Accuracy
-from .cross_entropy_loss import (cross_entropy, binary_cross_entropy,
-                                 mask_cross_entropy, CrossEntropyLoss)
-from .focal_loss import sigmoid_focal_loss, FocalLoss
-from .smooth_l1_loss import smooth_l1_loss, SmoothL1Loss
+from .accuracy import Accuracy, accuracy
+from .balanced_l1_loss import BalancedL1Loss, balanced_l1_loss
+from .cross_entropy_loss import (CrossEntropyLoss, binary_cross_entropy,
+                                 cross_entropy, mask_cross_entropy)
+from .focal_loss import FocalLoss, sigmoid_focal_loss
 from .ghm_loss import GHMC, GHMR
-from .balanced_l1_loss import balanced_l1_loss, BalancedL1Loss
-from .mse_loss import mse_loss, MSELoss
-from .iou_loss import iou_loss, bounded_iou_loss, IoULoss, BoundedIoULoss
+from .iou_loss import BoundedIoULoss, IoULoss, bounded_iou_loss, iou_loss
+from .mse_loss import MSELoss, mse_loss
+from .smooth_l1_loss import SmoothL1Loss, smooth_l1_loss
 from .utils import reduce_loss, weight_reduce_loss, weighted_loss
 
 __all__ = [
diff --git a/mmdet/models/necks/__init__.py b/mmdet/models/necks/__init__.py
index aa56c42ce57b7e2da9e841d1f2a0240e97807877..6b26e5fee369f5d6578e8f4df9c4ff323d3510c6 100644
--- a/mmdet/models/necks/__init__.py
+++ b/mmdet/models/necks/__init__.py
@@ -1,5 +1,5 @@
-from .fpn import FPN
 from .bfp import BFP
+from .fpn import FPN
 from .hrfpn import HRFPN
 
 __all__ = ['FPN', 'BFP', 'HRFPN']
diff --git a/mmdet/models/plugins/__init__.py b/mmdet/models/plugins/__init__.py
index 2a771b906bcfe71e9b6f53ecf7edb7f6621a0f73..0ff85f2f5299949b38693544549df7bc40e556c5 100644
--- a/mmdet/models/plugins/__init__.py
+++ b/mmdet/models/plugins/__init__.py
@@ -1,4 +1,4 @@
-from .non_local import NonLocal2D
 from .generalized_attention import GeneralizedAttention
+from .non_local import NonLocal2D
 
 __all__ = ['NonLocal2D', 'GeneralizedAttention']
diff --git a/mmdet/models/utils/__init__.py b/mmdet/models/utils/__init__.py
index f9215c5ade9757b812697d85704188d5a593e0d9..3db40920deeb1a357c83b3557960265a211302f2 100644
--- a/mmdet/models/utils/__init__.py
+++ b/mmdet/models/utils/__init__.py
@@ -1,9 +1,9 @@
-from .conv_ws import conv_ws_2d, ConvWS2d
-from .conv_module import build_conv_layer, ConvModule
+from .conv_module import ConvModule, build_conv_layer
+from .conv_ws import ConvWS2d, conv_ws_2d
 from .norm import build_norm_layer
 from .scale import Scale
-from .weight_init import (xavier_init, normal_init, uniform_init, kaiming_init,
-                          bias_init_with_prob)
+from .weight_init import (bias_init_with_prob, kaiming_init, normal_init,
+                          uniform_init, xavier_init)
 
 __all__ = [
     'conv_ws_2d', 'ConvWS2d', 'build_conv_layer', 'ConvModule',
diff --git a/mmdet/ops/__init__.py b/mmdet/ops/__init__.py
index c721925efa4cbcee8d594ebee624757d81d01b35..4317899a6cfd7966c8e5e3b9e0f34439c6a85068 100644
--- a/mmdet/ops/__init__.py
+++ b/mmdet/ops/__init__.py
@@ -1,13 +1,13 @@
-from .dcn import (DeformConv, DeformConvPack, ModulatedDeformConv,
-                  ModulatedDeformConvPack, DeformRoIPooling,
-                  DeformRoIPoolingPack, ModulatedDeformRoIPoolingPack,
-                  deform_conv, modulated_deform_conv, deform_roi_pooling)
 from .context_block import ContextBlock
+from .dcn import (DeformConv, DeformConvPack, DeformRoIPooling,
+                  DeformRoIPoolingPack, ModulatedDeformConv,
+                  ModulatedDeformConvPack, ModulatedDeformRoIPoolingPack,
+                  deform_conv, deform_roi_pooling, modulated_deform_conv)
+from .masked_conv import MaskedConv2d
 from .nms import nms, soft_nms
 from .roi_align import RoIAlign, roi_align
 from .roi_pool import RoIPool, roi_pool
 from .sigmoid_focal_loss import SigmoidFocalLoss, sigmoid_focal_loss
-from .masked_conv import MaskedConv2d
 
 __all__ = [
     'nms', 'soft_nms', 'RoIAlign', 'roi_align', 'RoIPool', 'roi_pool',
diff --git a/mmdet/ops/dcn/__init__.py b/mmdet/ops/dcn/__init__.py
index 48566be193af852e4475ea0ebbdd2d38f0dcb549..79594c90b2827ce0a4b4839f675228d1ab03d3a2 100644
--- a/mmdet/ops/dcn/__init__.py
+++ b/mmdet/ops/dcn/__init__.py
@@ -1,8 +1,8 @@
-from .deform_conv import (deform_conv, modulated_deform_conv, DeformConv,
-                          DeformConvPack, ModulatedDeformConv,
-                          ModulatedDeformConvPack)
-from .deform_pool import (deform_roi_pooling, DeformRoIPooling,
-                          DeformRoIPoolingPack, ModulatedDeformRoIPoolingPack)
+from .deform_conv import (DeformConv, DeformConvPack, ModulatedDeformConv,
+                          ModulatedDeformConvPack, deform_conv,
+                          modulated_deform_conv)
+from .deform_pool import (DeformRoIPooling, DeformRoIPoolingPack,
+                          ModulatedDeformRoIPoolingPack, deform_roi_pooling)
 
 __all__ = [
     'DeformConv', 'DeformConvPack', 'ModulatedDeformConv',
diff --git a/mmdet/ops/masked_conv/__init__.py b/mmdet/ops/masked_conv/__init__.py
index 6267190019d28da514d1d61c116af915e62697ab..f537ace080f797f3adce125ee85e4e29d24e2ace 100644
--- a/mmdet/ops/masked_conv/__init__.py
+++ b/mmdet/ops/masked_conv/__init__.py
@@ -1,3 +1,3 @@
-from .masked_conv import masked_conv2d, MaskedConv2d
+from .masked_conv import MaskedConv2d, masked_conv2d
 
 __all__ = ['masked_conv2d', 'MaskedConv2d']
diff --git a/mmdet/ops/roi_align/__init__.py b/mmdet/ops/roi_align/__init__.py
index 9acb61fe8a1f54b961fe765b240a21c7ccbd3adf..6da98298fa514ced8a8b968ac70258818f4375e7 100644
--- a/mmdet/ops/roi_align/__init__.py
+++ b/mmdet/ops/roi_align/__init__.py
@@ -1,3 +1,3 @@
-from .roi_align import roi_align, RoIAlign
+from .roi_align import RoIAlign, roi_align
 
 __all__ = ['roi_align', 'RoIAlign']
diff --git a/mmdet/ops/roi_pool/__init__.py b/mmdet/ops/roi_pool/__init__.py
index d19d60891d4c137b3b6ff4cab452a922c1c9a216..9f0474e5939994b45dcf158499421f9e998c33bd 100644
--- a/mmdet/ops/roi_pool/__init__.py
+++ b/mmdet/ops/roi_pool/__init__.py
@@ -1,3 +1,3 @@
-from .roi_pool import roi_pool, RoIPool
+from .roi_pool import RoIPool, roi_pool
 
 __all__ = ['roi_pool', 'RoIPool']