fix mv2/3 input shape

Differential Revision: D48761859

fbshipit-source-id: 917d02f3aa9db0898e584889693195aef74b61f1

Author: mcr229

backends/xnnpack/test/models/mobilenet_v2.py

@@ -20,7 +20,7 @@
 class TestMobileNetV2(unittest.TestCase):
     mv2 = models.mobilenetv2.mobilenet_v2(weights=MobileNet_V2_Weights)
     mv2 = mv2.eval()
-    model_inputs = (torch.ones(1, 3, 224, 244),)
+    model_inputs = (torch.ones(1, 3, 224, 224),)
 
     all_operators = {
         "executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default",

backends/xnnpack/test/models/mobilenet_v3.py

@@ -19,7 +19,7 @@
 class TestMobileNetV3(unittest.TestCase):
     mv3 = models.mobilenetv3.mobilenet_v3_small(pretrained=True)
     mv3 = mv3.eval()
-    model_inputs = (torch.ones(1, 3, 224, 244),)
+    model_inputs = (torch.ones(1, 3, 224, 224),)
 
     all_operators = {
         "executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default",