add dilation case for ConvTranspose op (onnx#1797)

* add dilation case for ConvTranspose op

* add comment

* upload test data

* upload changed docs

* fix check err

* add comment

* add space

* revert unintended change

* revert unintended change

docs/Operators.md

@@ -2687,6 +2687,30 @@ expect(node, inputs=[x, W], outputs=[y],
 </details>
 
 
+<details>
+<summary>convtranspose_dilations</summary>
+
+```python
+x = np.array([[[[3., 8., 1.],  # (1, 1, 3, 3)
+                [9., 5., 7.],
+                [3., 2., 6.]]]]).astype(np.float32)
+W = np.array([[[[7., 2.],  # (1, 1, 2, 2)
+                [1., 9.]]]]).astype(np.float32)
+
+node = onnx.helper.make_node("ConvTranspose", ["X", "W"], ["Y"], dilations=[2, 2])
+
+y = np.array([[[[21., 56., 13., 16., 2.],  # [1, 1, 5, 5]
+                [63., 35., 67., 10., 14.],
+                [24., 22., 76., 76., 21.],
+                [9., 5., 88., 45., 63.],
+                [3., 2., 33., 18., 54.]]]]).astype(np.float32)
+
+expect(node, inputs=[x, W], outputs=[y], name='test_convtranspose_dilations')
+```
+
+</details>
+
+
 <details>
 <summary>convtranspose_pads</summary>
 

docs/TestCoverage.md

@@ -1345,7 +1345,7 @@ expect(node_with_asymmetric_padding, inputs=[x, W], outputs=[y_with_asymmetric_p
 
 
 ### ConvTranspose
-There are 5 test cases, listed as following:
+There are 6 test cases, listed as following:
 <details>
 <summary>convtranspose</summary>
 
@@ -1568,6 +1568,28 @@ expect(node, inputs=[x, W], outputs=[y],
        name='test_convtranspose_kernel_shape')
 ```
 
+</details>
+<details>
+<summary>convtranspose_dilations</summary>
+
+```python
+x = np.array([[[[3., 8., 1.],  # (1, 1, 3, 3)
+                [9., 5., 7.],
+                [3., 2., 6.]]]]).astype(np.float32)
+W = np.array([[[[7., 2.],  # (1, 1, 2, 2)
+                [1., 9.]]]]).astype(np.float32)
+
+node = onnx.helper.make_node("ConvTranspose", ["X", "W"], ["Y"], dilations=[2, 2])
+
+y = np.array([[[[21., 56., 13., 16., 2.],  # [1, 1, 5, 5]
+                [63., 35., 67., 10., 14.],
+                [24., 22., 76., 76., 21.],
+                [9., 5., 88., 45., 63.],
+                [3., 2., 33., 18., 54.]]]]).astype(np.float32)
+
+expect(node, inputs=[x, W], outputs=[y], name='test_convtranspose_dilations')
+```
+
 </details>
 <details>
 <summary>convtranspose_pads</summary>

onnx/backend/test/case/node/convtranspose.py

@@ -253,3 +253,21 @@ def export_convtranspose_pads():  # type: () -> None
                         [13., 7., 15.]]]]).astype(np.float32)
 
         expect(node, inputs=[x, W], outputs=[y], name='test_convtranspose_pads')
+
+    @staticmethod
+    def export_convtranspose_dilations():  # type: () -> None
+        x = np.array([[[[3., 8., 1.],  # (1, 1, 3, 3)
+                        [9., 5., 7.],
+                        [3., 2., 6.]]]]).astype(np.float32)
+        W = np.array([[[[7., 2.],  # (1, 1, 2, 2)
+                        [1., 9.]]]]).astype(np.float32)
+
+        node = onnx.helper.make_node("ConvTranspose", ["X", "W"], ["Y"], dilations=[2, 2])
+
+        y = np.array([[[[21., 56., 13., 16., 2.],  # [1, 1, 5, 5]
+                        [63., 35., 67., 10., 14.],
+                        [24., 22., 76., 76., 21.],
+                        [9., 5., 88., 45., 63.],
+                        [3., 2., 33., 18., 54.]]]]).astype(np.float32)
+
+        expect(node, inputs=[x, W], outputs=[y], name='test_convtranspose_dilations')

onnx/backend/test/data/node/test_convtranspose_dilations/model.onnx

@@ -0,0 +1,23 @@
+backend-test:�

+,
+
X
+
W
Y"ConvTranspose*
+	dilations@@�
test_convtranspose_dilationsZ
+
X
+

+

+

+
+Z
+
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+

+

+

+
+b
+
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+

+

+

+
+B