From f84e5a6f01461ae52218bcdb1dcf45e8bc4e5ea0 Mon Sep 17 00:00:00 2001
From: apbose <apbose694@gmail.com>
Date: Wed, 4 Sep 2024 14:42:12 -0700
Subject: [PATCH] removing full_like decomposition op after PR-3077

---
 tests/py/dynamo/lowering/test_decompositions.py | 11 -----------
 1 file changed, 11 deletions(-)

diff --git a/tests/py/dynamo/lowering/test_decompositions.py b/tests/py/dynamo/lowering/test_decompositions.py
index 6568dab202..4082caafb1 100644
--- a/tests/py/dynamo/lowering/test_decompositions.py
+++ b/tests/py/dynamo/lowering/test_decompositions.py
@@ -1158,7 +1158,6 @@ def forward(self, input):
                 {
                     torch.ops.aten.add.Tensor,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.zeros(3, 5, dtype=torch.int32).cuda(),
                 "sum",
@@ -1171,7 +1170,6 @@ def forward(self, input):
                 {
                     torch.ops.aten.add.Tensor,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.zeros(3, 5, dtype=torch.int32).cuda(),
                 "sum",
@@ -1189,7 +1187,6 @@ def forward(self, input):
                 {
                     torch.ops.aten.add.Tensor,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.zeros(3, 5, 6, dtype=torch.int32).cuda(),
                 "sum",
@@ -1203,7 +1200,6 @@ def forward(self, input):
                 {
                     torch.ops.aten.mul.Tensor,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.ones(3, 5, dtype=torch.int32).cuda(),
                 "prod",
@@ -1216,7 +1212,6 @@ def forward(self, input):
                 {
                     torch.ops.aten.mul.Tensor,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.ones(3, 5, dtype=torch.int32).cuda(),
                 "prod",
@@ -1229,7 +1224,6 @@ def forward(self, input):
                 {
                     torch.ops.aten.mul.Tensor,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.ones(3, 5, dtype=torch.int32).cuda(),
                 "prod",
@@ -1242,7 +1236,6 @@ def forward(self, input):
                 {
                     torch.ops.aten.mul.Tensor,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.ones(3, 5, dtype=torch.int32).cuda(),
                 "prod",
@@ -1260,7 +1253,6 @@ def forward(self, input):
                 {
                     torch.ops.aten.mul.Tensor,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.ones(3, 5, 6, dtype=torch.int32).cuda(),
                 "prod",
@@ -1300,7 +1292,6 @@ def forward(self, input):
                     torch.ops.aten.add.Tensor,
                     torch.ops.aten.div.Tensor_mode,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.zeros(3, 5, dtype=torch.int32).cuda(),
                 "mean",
@@ -1314,7 +1305,6 @@ def forward(self, input):
                     torch.ops.aten.add.Tensor,
                     torch.ops.aten.div.Tensor_mode,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.zeros(3, 5, dtype=torch.int32).cuda(),
                 "mean",
@@ -1333,7 +1323,6 @@ def forward(self, input):
                     torch.ops.aten.add.Tensor,
                     torch.ops.aten.div.Tensor_mode,
                     torch.ops.aten.scatter.src,
-                    torch.ops.aten.full_like.default,
                 },
                 torch.zeros(3, 5, 6, dtype=torch.int32).cuda(),
                 "mean",