diff --git a/testdata/dnn/onnx/data/input_split_0.npy b/testdata/dnn/onnx/data/input_split_0.npy
new file mode 100644
index 000000000..5576f4a92
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diff --git a/testdata/dnn/onnx/data/output_split_0.npy b/testdata/dnn/onnx/data/output_split_0.npy
new file mode 100644
index 000000000..e014b04ca
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diff --git a/testdata/dnn/onnx/generate_onnx_models.py b/testdata/dnn/onnx/generate_onnx_models.py
index bec86026f..10704ee46 100644
--- a/testdata/dnn/onnx/generate_onnx_models.py
+++ b/testdata/dnn/onnx/generate_onnx_models.py
@@ -868,6 +868,15 @@ def forward(self, x):
         tup = torch.split(x, self.split_size_sections, self.dim)
         return torch.cat(tup)
 
+class SimpleSplit(nn.Module):
+    def forward(self, image):
+        return torch.cat([img for img in image])
+
+
+model = SimpleSplit()
+input = torch.ones((1, 3, 2, 2))
+save_data_and_model("split_0", input, model, version=11)
+
 model = Split()
 input = Variable(torch.tensor([1., 2.], dtype=torch.float32))
 save_data_and_model("split_1", input, model)
@@ -888,6 +897,8 @@ def forward(self, x):
 model = Split(dim=-1, split_size_sections=[1, 2])
 save_data_and_model("split_6", input2, model, version=13)
 
+
+
 class SplitSizes(nn.Module):
     def __init__(self, *args, **kwargs):
         super(SplitSizes, self).__init__()
diff --git a/testdata/dnn/onnx/models/split_0.onnx b/testdata/dnn/onnx/models/split_0.onnx
new file mode 100644
index 000000000..1be2c819c
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