chore: Remove the test case

Signed-off-by: Dheeraj Peri <[email protected]>

Author: peri044

tests/py/dynamo/lowering/test_aten_lowering_passes.py

@@ -156,87 +156,6 @@ def forward(self, x):
         torch._dynamo.reset()
 
 
-class TestFP32Accumulation(TestCase):
-    def test_fp32_acc(self):
-        class FP32Acc(torch.nn.Module):
-            def forward(self, input, weight):
-                out = torch.ops.aten.mm.default(input, weight)
-                return out
-
-        inputs = [
-            torch.rand((3, 4)).cuda(),
-            torch.rand((4, 5)).cuda(),
-        ]
-
-        fx_graph = torch.fx.symbolic_trace(FP32Acc())
-        expected_ops = {torch.ops.aten._to_copy.default, torch.ops.aten.mm.default}
-        unexpected_ops = {}
-
-        unexpected_ops_seen, expected_ops_unseen = lower_graph_testing(
-            fx_graph,
-            inputs,
-            expected_ops=expected_ops,
-            unexpected_ops=unexpected_ops,
-            min_block_size=1,
-            use_fp32_acc=True,
-        )
-
-        self.assertEqual(
-            len(unexpected_ops_seen),
-            0,
-            f"The following unexpected ops were encountered: {unexpected_ops_seen}",
-        )
-
-        self.assertEqual(
-            len(expected_ops_unseen),
-            0,
-            f"The following expected ops were not encountered: {expected_ops_unseen}",
-        )
-        torch._dynamo.reset()
-
-    def test_fp32_acc_for_addmm(self):
-        class FP32Acc(torch.nn.Module):
-            def forward(self, input, mat1, mat2):
-                out = torch.ops.aten.addmm.default(input, mat1, mat2, beta=20, alpha=2)
-                return out
-
-        inputs = [
-            torch.rand((3, 5)).cuda(),
-            torch.rand((3, 4)).cuda(),
-            torch.rand((4, 5)).cuda(),
-        ]
-
-        fx_graph = torch.fx.symbolic_trace(FP32Acc())
-        expected_ops = {
-            torch.ops.aten._to_copy.default,
-            torch.ops.aten.mm.default,
-            torch.ops.aten.add.Tensor,
-        }
-        unexpected_ops = {}
-
-        unexpected_ops_seen, expected_ops_unseen = lower_graph_testing(
-            fx_graph,
-            inputs,
-            expected_ops=expected_ops,
-            unexpected_ops=unexpected_ops,
-            min_block_size=1,
-            use_fp32_acc=True,
-        )
-
-        self.assertEqual(
-            len(unexpected_ops_seen),
-            0,
-            f"The following unexpected ops were encountered: {unexpected_ops_seen}",
-        )
-
-        self.assertEqual(
-            len(expected_ops_unseen),
-            0,
-            f"The following expected ops were not encountered: {expected_ops_unseen}",
-        )
-        torch._dynamo.reset()
-
-
 class TestComplexSubgraph(TestCase):
     def test_complex_subgraph(self):
         BATCH = 1