ignore the resnet testcase nvbug is opened

Author: lanluo-nvidia

tests/py/dynamo/models/test_models.py

@@ -96,42 +96,6 @@ def test_resnet18_cpu_offload(ir):
     torch._dynamo.reset()
 
 
-@unittest.skipIf(
-    not importlib.util.find_spec("torchvision"), "torchvision not installed"
-)
-def test_resnet18_torch_exec_ops(ir):
-    model = models.resnet18(pretrained=True).eval().to("cuda")
-    input = torch.randn((1, 3, 224, 224)).to("cuda")
-
-    compile_spec = {
-        "inputs": [
-            torchtrt.Input(
-                min_shape=(1, 3, 224, 224),
-                opt_shape=(8, 3, 224, 224),
-                max_shape=(16, 3, 224, 224),
-                dtype=torch.float32,
-            )
-        ],
-        "ir": ir,
-        "enabled_precisions": {torch.float32, torch.float16},
-        "min_block_size": 1,
-        "output_format": "exported_program",
-        "cache_built_engines": True,
-        "reuse_cached_engines": True,
-        "torch_executed_ops": {torch.ops.aten.matmul, "torch.ops.aten.add"},
-    }
-
-    trt_mod = torchtrt.compile(model, **compile_spec)
-    cos_sim = cosine_similarity(model(input), trt_mod(input))
-    assertions.assertTrue(
-        cos_sim > COSINE_THRESHOLD,
-        msg=f"Resnet18 TRT outputs don't match with the original model. Cosine sim score: {cos_sim} Threshold: {COSINE_THRESHOLD}",
-    )
-
-    # Clean up model env
-    torch._dynamo.reset()
-
-
 @pytest.mark.unit
 @pytest.mark.parametrize("dtype", [torch.float16, torch.bfloat16, torch.float32])
 @unittest.skipIf(