[Docs] Add header for files (#1181)

* [Docs] Add header for files

* change to OpenMMLab

* add headers for .cpp, .cu, .h, .cuh

* replace Open-MMLab with OpenMMLab

LICENSE

-Copyright (c) Open-MMLab. All rights reserved.
+Copyright (c) OpenMMLab. All rights reserved
 
                                  Apache License
                            Version 2.0, January 2004

mmcv/__init__.py

-# Copyright (c) Open-MMLab. All rights reserved.
+# Copyright (c) OpenMMLab. All rights reserved.
 # flake8: noqa
 from .arraymisc import *
 from .fileio import *

mmcv/arraymisc/__init__.py

-# Copyright (c) Open-MMLab. All rights reserved.
+# Copyright (c) OpenMMLab. All rights reserved.
 from .quantization import dequantize, quantize
 
 __all__ = ['quantize', 'dequantize']

mmcv/arraymisc/quantization.py

-# Copyright (c) Open-MMLab. All rights reserved.
+# Copyright (c) OpenMMLab. All rights reserved.
 import numpy as np
 
 

mmcv/cnn/__init__.py

-# Copyright (c) Open-MMLab. All rights reserved.
+# Copyright (c) OpenMMLab. All rights reserved.
 from .alexnet import AlexNet
 # yapf: disable
 from .bricks import (ACTIVATION_LAYERS, CONV_LAYERS, NORM_LAYERS,

mmcv/cnn/alexnet.py

-# Copyright (c) Open-MMLab. All rights reserved.
+# Copyright (c) OpenMMLab. All rights reserved.
 import logging
 
 import torch.nn as nn

mmcv/cnn/bricks/__init__.py

+# Copyright (c) OpenMMLab. All rights reserved.
 from .activation import build_activation_layer
 from .context_block import ContextBlock
 from .conv import build_conv_layer

mmcv/cnn/bricks/activation.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 import torch.nn as nn
 import torch.nn.functional as F

mmcv/cnn/bricks/context_block.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 from torch import nn
 

mmcv/cnn/bricks/conv.py

+# Copyright (c) OpenMMLab. All rights reserved.
 from torch import nn
 
 from .registry import CONV_LAYERS

mmcv/cnn/bricks/conv2d_adaptive_padding.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import math
 
 from torch import nn

mmcv/cnn/bricks/conv_module.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import warnings
 
 import torch.nn as nn

mmcv/cnn/bricks/conv_ws.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 import torch.nn as nn
 import torch.nn.functional as F

mmcv/cnn/bricks/depthwise_separable_conv_module.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch.nn as nn
 
 from .conv_module import ConvModule

mmcv/cnn/bricks/drop.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch
 import torch.nn as nn
 

mmcv/cnn/bricks/generalized_attention.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import math
 
 import numpy as np

mmcv/cnn/bricks/hsigmoid.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch.nn as nn
 
 from .registry import ACTIVATION_LAYERS

mmcv/cnn/bricks/hswish.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import torch.nn as nn
 
 from .registry import ACTIVATION_LAYERS

mmcv/cnn/bricks/non_local.py

+# Copyright (c) OpenMMLab. All rights reserved.
 from abc import ABCMeta
 
 import torch

mmcv/cnn/bricks/norm.py

+# Copyright (c) OpenMMLab. All rights reserved.
 import inspect
 
 import torch.nn as nn