diff --git a/circle-mlir/circle-mlir/tools-test/circle-impexp-test/test.lst b/circle-mlir/circle-mlir/tools-test/circle-impexp-test/test.lst
index afeb1d01aec..8186ef038b8 100644
--- a/circle-mlir/circle-mlir/tools-test/circle-impexp-test/test.lst
+++ b/circle-mlir/circle-mlir/tools-test/circle-impexp-test/test.lst
@@ -48,6 +48,8 @@ AddModel(ConvTranspose2d_F32_R4_op01)
 AddModel(ConvTranspose2d_F32_R4_p10)
 AddModel(ConvTranspose2d_F32_R4_p11)
 AddModel(ConvTranspose2d_F32_R4_p11_nobias)
+# AddModel(ConvTranspose2d_F32_R4_unk_bh)
+# AddModel(ConvTranspose2d_F32_R4_unk_bw)
 AddModel(Cos_F32_R4)
 AddModel(CumSum_F32_R4_1)
 AddModel(CumSum_F32_R4_2)
diff --git a/circle-mlir/circle-mlir/tools-test/onnx2circle-models/test.lst b/circle-mlir/circle-mlir/tools-test/onnx2circle-models/test.lst
index 05c3f9131ec..5e8c623b9f0 100644
--- a/circle-mlir/circle-mlir/tools-test/onnx2circle-models/test.lst
+++ b/circle-mlir/circle-mlir/tools-test/onnx2circle-models/test.lst
@@ -50,6 +50,8 @@ AddModel(ConvTranspose2d_F32_R4_op01)
 AddModel(ConvTranspose2d_F32_R4_p10)
 AddModel(ConvTranspose2d_F32_R4_p11)
 AddModel(ConvTranspose2d_F32_R4_p11_nobias)
+# AddModel(ConvTranspose2d_F32_R4_unk_bh)
+# AddModel(ConvTranspose2d_F32_R4_unk_bw)
 AddModel(Cos_F32_R4)
 AddModel(CumSum_F32_R4_1)
 AddModel(CumSum_F32_R4_2)
diff --git a/circle-mlir/circle-mlir/tools-test/onnx2circle-value-test/test.lst b/circle-mlir/circle-mlir/tools-test/onnx2circle-value-test/test.lst
index d7feef42a74..9133268ffaa 100644
--- a/circle-mlir/circle-mlir/tools-test/onnx2circle-value-test/test.lst
+++ b/circle-mlir/circle-mlir/tools-test/onnx2circle-value-test/test.lst
@@ -50,6 +50,8 @@ AddModel(ConvTranspose2d_F32_R4_op01)
 AddModel(ConvTranspose2d_F32_R4_p10)
 AddModel(ConvTranspose2d_F32_R4_p11)
 AddModel(ConvTranspose2d_F32_R4_p11_nobias)
+# AddModel(ConvTranspose2d_F32_R4_unk_bh)
+# AddModel(ConvTranspose2d_F32_R4_unk_bw)
 AddModel(Cos_F32_R4)
 AddModel(CumSum_F32_R4_1)
 AddModel(CumSum_F32_R4_2)
diff --git a/circle-mlir/models/unit/ConvTranspose2d_F32_R4_unk_bh/__init__.py b/circle-mlir/models/unit/ConvTranspose2d_F32_R4_unk_bh/__init__.py
new file mode 100644
index 00000000000..3a2f97581fb
--- /dev/null
+++ b/circle-mlir/models/unit/ConvTranspose2d_F32_R4_unk_bh/__init__.py
@@ -0,0 +1,35 @@
+import torch
+
+
+# Generate ConvTranspose2d operator with Float32, Rank-4, unknown
+# input  : [N, 4, H, 10]
+# output : [N, 3, H, 10+7]
+# dynamic axes: N, H
+class net_ConvTranspose2d(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.op = torch.nn.ConvTranspose2d(
+            in_channels=4,
+            out_channels=3,
+            kernel_size=(1, 8),
+            stride=(1, 1),
+            padding=(0, 0),
+            dilation=(1, 1),
+            groups=1,
+            bias=True,
+        )
+
+    def forward(self, input):
+        return self.op(input)
+
+    def onnx_opset_version(self):
+        # TODO set to appropriate value
+        return 14
+
+
+_model_ = net_ConvTranspose2d()
+
+_inputs_ = (torch.Tensor(1, 4, 1, 1))
+
+_io_names_ = [['input'], ['output']]
+_dynamic_axes_ = {"input": {0: "?", 2: "?"}, "output": {0: "?", 2: "?"}}
diff --git a/circle-mlir/models/unit/ConvTranspose2d_F32_R4_unk_bw/__init__.py b/circle-mlir/models/unit/ConvTranspose2d_F32_R4_unk_bw/__init__.py
new file mode 100644
index 00000000000..ff4d82e020a
--- /dev/null
+++ b/circle-mlir/models/unit/ConvTranspose2d_F32_R4_unk_bw/__init__.py
@@ -0,0 +1,35 @@
+import torch
+
+
+# Generate ConvTranspose2d operator with Float32, Rank-4, unknown
+# input  : [N, 4, 1, W]
+# output : [N, 3,  1, W+7]
+# dynamic axes: N, W
+class net_ConvTranspose2d(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.op = torch.nn.ConvTranspose2d(
+            in_channels=4,
+            out_channels=3,
+            kernel_size=(1, 8),
+            stride=(1, 1),
+            padding=(0, 0),
+            dilation=(1, 1),
+            groups=1,
+            bias=True,
+        )
+
+    def forward(self, input):
+        return self.op(input)
+
+    def onnx_opset_version(self):
+        # TODO set to appropriate value
+        return 14
+
+
+_model_ = net_ConvTranspose2d()
+
+_inputs_ = (torch.Tensor(1, 4, 1, 1))
+
+_io_names_ = [['input'], ['output']]
+_dynamic_axes_ = {"input": {0: "?", 3: "?"}, "output": {0: "?", 3: "?"}}