update testcase

Author: wjj19950828

testdata/dnn/onnx/data/input_resize_opset11_0.npy

@@ -1358,23 +1358,10 @@ def forward(self, x):
 model = NormalizeFusion()
 save_data_and_model("normalize_fusion", x, model)
 
-class Resize(nn.Module):
-    def __init__(self):
-        super(Resize, self).__init__()
-
-    def forward(self, x, y):
-        size = y.shape[-2:]
-        x = F.interpolate(x, size=size, mode="bilinear", align_corners=False)
-        return x
-
-input_0 = torch.randn(1, 2, 3, 4)
-input_1 = torch.randn(1, 2, 6, 8)
-save_data_and_model_multy_inputs("resize_opset11", Resize(), input_0, input_1, version=11)
-
 #paddle2onnx model
-class Resize_paddle(paddle.nn.Layer):
+class Resize_HumanSeg(paddle.nn.Layer):
     def __init__(self, ):
-        super(Resize_paddle, self).__init__()
+        super(Resize_HumanSeg, self).__init__()
 
     def forward(self, x0):
         x1 = paddle.nn.functional.interpolate(x0,size=[6,8],mode='bilinear',align_corners=False)
@@ -1392,4 +1379,4 @@ def save_data_and_paddle_model(model, name, input_data):
 
 input_shape = [1, 2, 3, 4]
 x = paddle.rand(input_shape, dtype="float32")
-save_data_and_paddle_model(Resize_paddle(), "resize_humanseg", x)
+save_data_and_paddle_model(Resize_HumanSeg(), "resize_humanseg", x)