[Feature] Add Ops of StyleGAN3

LICENSES.md

@@ -2,7 +2,10 @@
 
 In this file, we list the operations with other licenses instead of Apache 2.0. Users should be careful about adopting these operations in any commercial matters.
 
-|    Operation     |                                                                               Files                                                                               |    License     |
-| :--------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------: |
-|    upfirdn2d     |          [mmcv/ops/csrc/pytorch/cuda/upfirdn2d_kernel.cu](https://github.com/open-mmlab/mmcv/blob/master/mmcv/ops/csrc/pytorch/cuda/upfirdn2d_kernel.cu)          | NVIDIA License |
-| fused_leaky_relu | [mmcv/ops/csrc/pytorch/cuda/fused_bias_leakyrelu_cuda.cu](https://github.com/open-mmlab/mmcv/blob/master/mmcv/ops/csrc/pytorch/cuda/fused_bias_leakyrelu_cuda.cu) | NVIDIA License |
+|    Operation     |                                                                             Files                                                                              |    License     |
+| :--------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------: |
+|    upfirdn2d     |          [mmcv/ops/csrc/pytorch/cuda/upfirdn2d_kernel.cu](https://github.com/open-mmlab/mmcv/tree/2.x/mmcv/ops/csrc/pytorch/cuda/upfirdn2d_kernel.cu)          | NVIDIA License |
+| fused_leaky_relu | [mmcv/ops/csrc/pytorch/cuda/fused_bias_leakyrelu_cuda.cu](https://github.com/open-mmlab/mmcv/tree/2.x/mmcv/ops/csrc/pytorch/cuda/fused_bias_leakyrelu_cuda.cu) | NVIDIA License |
+|     bias_act     |             [mmcv/ops/csrc/pytorch/cuda/bias_act_cuda.cu](https://github.com/open-mmlab/mmcv/tree/2.x/mmcv/ops/csrc/pytorch/cuda/bias_act_cuda.cu)             | NVIDIA License |
+|  filtered_lrelu  |            [mmcv/ops/csrc/pytorch/cuda/filtered_lrelu.cu](https://github.com/open-mmlab/mmcv/tree/2.x/mmcv/ops/csrc/pytorch/cuda/filtered_lrelu.cu)            | NVIDIA License |
+|  conv2d_gradfix  |                              [mmcv/ops/conv2d_gradfix.py](https://github.com/open-mmlab/mmcv/tree/2.x/mmcv/ops/conv2d_gradfix.py)                              | NVIDIA License |

docs/en/understand_mmcv/ops.md

@@ -61,3 +61,6 @@ We implement common ops used in detection, segmentation, etc.
 | Voxelization                 | √   | √    |     |     | √      |
 | PrRoIPool                    |     | √    |     |     |        |
 | BezierAlign                  | √   | √    |     |     |        |
+| BiasAct                      |     | √    |     |     |        |
+| FilteredLrelu                |     | √    |     |     |        |
+| Conv2dGradfix                |     | √    |     |     |        |

docs/zh_cn/understand_mmcv/ops.md

@@ -61,3 +61,6 @@ MMCV 提供了检测、分割等任务中常用的算子
 | Voxelization                 | √   | √    |     |     | √      |
 | PrRoIPool                    |     | √    |     |     |        |
 | BezierAlign                  | √   | √    |     |     |        |
+| BiasAct                      |     | √    |     |     |        |
+| FilteredLrelu                |     | √    |     |     |        |
+| Conv2dGradfix                |     | √    |     |     |        |

mmcv/ops/__init__.py

@@ -4,13 +4,15 @@
 from .ball_query import ball_query
 from .bbox import bbox_overlaps
 from .bezier_align import BezierAlign, bezier_align
+from .bias_act import bias_act
 from .border_align import BorderAlign, border_align
 from .box_iou_quadri import box_iou_quadri
 from .box_iou_rotated import box_iou_rotated
 from .carafe import CARAFE, CARAFENaive, CARAFEPack, carafe, carafe_naive
 from .cc_attention import CrissCrossAttention
 from .chamfer_distance import chamfer_distance
 from .contour_expand import contour_expand
+from .conv2d_gradfix import conv2d, conv_transpose2d
 from .convex_iou import convex_giou, convex_iou
 from .corner_pool import CornerPool
 from .correlation import Correlation
@@ -22,6 +24,7 @@
 from .deprecated_wrappers import Linear_deprecated as Linear
 from .deprecated_wrappers import MaxPool2d_deprecated as MaxPool2d
 from .diff_iou_rotated import diff_iou_rotated_2d, diff_iou_rotated_3d
+from .filtered_lrelu import filtered_lrelu
 from .focal_loss import (SigmoidFocalLoss, SoftmaxFocalLoss,
                          sigmoid_focal_loss, softmax_focal_loss)
 from .furthest_point_sample import (furthest_point_sample,
@@ -68,7 +71,7 @@
 from .three_interpolate import three_interpolate
 from .three_nn import three_nn
 from .tin_shift import TINShift, tin_shift
-from .upfirdn2d import upfirdn2d
+from .upfirdn2d import filter2d, upfirdn2d, upsample2d
 from .voxelize import Voxelization, voxelization
 
 __all__ = [
@@ -103,5 +106,6 @@
     'points_in_boxes_cpu', 'points_in_boxes_all', 'points_in_polygons',
     'min_area_polygons', 'active_rotated_filter', 'convex_iou', 'convex_giou',
     'diff_iou_rotated_2d', 'diff_iou_rotated_3d', 'chamfer_distance',
-    'PrRoIPool', 'prroi_pool', 'BezierAlign', 'bezier_align'
+    'PrRoIPool', 'prroi_pool', 'bias_act', 'filtered_lrelu', 'conv2d',
+    'conv_transpose2d', 'filter2d', 'upsample2d', 'BezierAlign', 'bezier_align'
 ]