diff --git a/testdata/dnn/onnx/data/input_calc_pads.npy b/testdata/dnn/onnx/data/input_calc_pads.npy
new file mode 100644
index 000000000..726e2c8ee
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diff --git a/testdata/dnn/onnx/data/output_calc_pads.npy b/testdata/dnn/onnx/data/output_calc_pads.npy
new file mode 100644
index 000000000..960f41072
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diff --git a/testdata/dnn/onnx/generate_onnx_models.py b/testdata/dnn/onnx/generate_onnx_models.py
index bc7732d2f..8d5cc52c3 100644
--- a/testdata/dnn/onnx/generate_onnx_models.py
+++ b/testdata/dnn/onnx/generate_onnx_models.py
@@ -1233,3 +1233,15 @@ def forward(self, x):
 x = Variable(torch.randn([1, 2, 2, 2]))
 model = Mish()
 save_data_and_model("mish", x, model)
+
+class PadCalculation(nn.Module):
+    def forward(self, x):
+        y = F.max_pool2d(x, kernel_size=2)
+        diff_h = x.shape[2] - y.shape[2]
+        diff_w = x.shape[3] - y.shape[3]
+        y = F.pad(y, [diff_w // 2, diff_w - diff_w // 2, diff_h // 2, diff_h - diff_h // 2])
+        return y
+
+x = Variable(torch.randn([1, 1, 3, 4]))
+model = PadCalculation()
+save_data_and_model("calc_pads", x, model, version=11)
diff --git a/testdata/dnn/onnx/models/calc_pads.onnx b/testdata/dnn/onnx/models/calc_pads.onnx
new file mode 100644
index 000000000..8019a84a5
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