Merge branch 4.x

testdata/dnn/onnx/data/README.md

-### OpenCV: Open Source Computer Vision Library
-
-This repository contains extra data for the OpenCV library.
-
-#### Resources
-* Homepage: http://opencv.org
-* Docs: http://docs.opencv.org
-* Q&A forum: https://forum.opencv.org
-  * previous forum (read only): http://answers.opencv.org
-* Issue tracking: https://github.com/opencv/opencv/issues
-
-#### Contributing
-
-Please read before starting work on a pull request: https://github.com/opencv/opencv/wiki/How_to_contribute
-
-Summary of guidelines:
-
-* One pull request per issue;
-* Choose the right base branch;
-* Include tests and documentation;
-* Clean up "oops" commits before submitting;
-* Follow the coding style guide.

testdata/dnn/onnx/generate_onnx_models.py

@@ -689,6 +689,26 @@ input = Variable(torch.randn(1, 2, 4, 4, 19))
 model = PoolConv()
 save_data_and_model("pool_conv_3d", input, model)
 
+class DepthWiseAdd(nn.Module):
+
+    def __init__(self):
+        super(DepthWiseAdd, self).__init__()
+        self.dconv1 = nn.Conv2d(8, 8, kernel_size=3, stride=1, padding=0, groups=8)
+        self.dconv2 = nn.Conv2d(8, 8, kernel_size=3, stride=1, padding=0, groups=8)
+
+    def forward(self, x):
+        a = self.dconv1(x)
+        b = self.dconv2(x)
+        z = a + b
+        z = z * 2
+        return z
+
+
+input = Variable(torch.randn(1, 8, 32, 32))
+model = DepthWiseAdd()
+model.eval()
+save_data_and_model("depthwiseconv_add", input, model)
+
 class Clip(nn.Module):
 
     def __init__(self):