[fbsync] Revert exposing convNormActivation in ops (#5472)

Reviewed By: jdsgomes

Differential Revision: D34475311

fbshipit-source-id: 13ea879714fd265166e42409956a73918ac0bd91

Author: prabhat00155

docs/source/ops.rst

@@ -45,5 +45,4 @@ Operators
     FeaturePyramidNetwork
     StochasticDepth
     FrozenBatchNorm2d
-    ConvNormActivation
     SqueezeExcitation

torchvision/models/optical_flow/raft.py

@@ -6,7 +6,7 @@
 from torch import Tensor
 from torch.nn.modules.batchnorm import BatchNorm2d
 from torch.nn.modules.instancenorm import InstanceNorm2d
-from torchvision.ops import ConvNormActivation
+from torchvision.ops.misc import ConvNormActivation
 
 from ..._internally_replaced_utils import load_state_dict_from_url
 from ...utils import _log_api_usage_once

torchvision/ops/__init__.py

@@ -14,7 +14,7 @@
 from .feature_pyramid_network import FeaturePyramidNetwork
 from .focal_loss import sigmoid_focal_loss
 from .giou_loss import generalized_box_iou_loss
-from .misc import FrozenBatchNorm2d, ConvNormActivation, SqueezeExcitation
+from .misc import FrozenBatchNorm2d, SqueezeExcitation
 from .poolers import MultiScaleRoIAlign
 from .ps_roi_align import ps_roi_align, PSRoIAlign
 from .ps_roi_pool import ps_roi_pool, PSRoIPool
@@ -51,7 +51,6 @@
     "stochastic_depth",
     "StochasticDepth",
     "FrozenBatchNorm2d",
-    "ConvNormActivation",
     "SqueezeExcitation",
     "generalized_box_iou_loss",
 ]