Fix and add workaround for falcon-7b model test

tests/lowering/creation/test_arange.py

@@ -90,6 +90,6 @@ def test_arange_start_step(device, input_shapes):
 
     # Check the graph has be rewritten and contain ttnn ops
     nodes = list(option._out_fx_graphs[0].nodes)
-    assert [node.target for node in nodes].count(ttnn.arange) == 1
+    assert [node.target for node in nodes].count(ttnn.arange) == 1 or [node.op for node in nodes].count("get_attr")
     # Check inference result
     assert torch.allclose(result_before, result_after)

torch_ttnn/passes/constant_folding_pass.py

@@ -11,6 +11,7 @@ def __init__(self):
             torch.ops.aten.lift_fresh_copy.default,
             torch.ops.aten.pow.Tensor_Tensor,
             torch.ops.aten.arange.start,
+            torch.ops.aten.arange.start_step,
             torch.ops.aten.unsqueeze.default,
             torch.ops.aten.arange.default,
             torch.ops.aten.view.default,

torch_ttnn/passes/lowering/to_tt_guard.py

@@ -83,6 +83,13 @@
     ["List[Tensor] tensors = [<[13600]>, <[13600]>, <[13600]>, <[13600]>]", "int dim = 1"],
 ]
 
+############################################################
+# EXTRA BLOCKLIST OF falcon-7b-instruct
+############################################################
+# RuntimeError: TT_THROW @ /tmp/build-via-sdist-d26xvola/ttnn-0.54.0rc18+wormhole.b0/ttnn/cpp/ttnn/device_operation.hpp:487: tt::exception
+# Unsupported storage type
+aten_argmax_default_blocklist += [["Tensor<[1, 7]> self = ?", "Optional[int] dim = 1", "bool keepdim = True"]]
+
 ############################################################
 # EXTRA BLOCKLIST OF retinanet_resnet50_fpn_v2
 ############################################################