diff --git a/build_tools/autogen_ltc_backend.yaml b/build_tools/autogen_ltc_backend.yaml
index 37115fa98e4a..b8a8905e06c8 100644
--- a/build_tools/autogen_ltc_backend.yaml
+++ b/build_tools/autogen_ltc_backend.yaml
@@ -1,13 +1,14 @@
 blacklist:
 # List of unsupported ops in LTC autogen because of some error
+- _index_put_impl_  # Error: TODO not sure if there are other valid types to handle here
 - empty_like  # Error: TODO add support for type BaseType(name=<BaseTy.MemoryFormat: 12>)
 - index.Tensor  # Error: TODO not sure if there are other valid types to handle here
 - index_put  # Error: TODO not sure if there are other valid types to handle here
 - index_put_  # Error: TODO not sure if there are other valid types to handle here
-- _index_put_impl_  # Error: TODO not sure if there are other valid types to handle here
 - stack  # Error: TODO not sure if there are other valid types to handle here
 
 # Additional ops which autogen is supported for but don't compile yet
+- _convolution
 - detach
 - item
 - size
diff --git a/e2e_testing/torchscript/xfail_sets.py b/e2e_testing/torchscript/xfail_sets.py
index 3d5d44aaf43a..513145b42637 100644
--- a/e2e_testing/torchscript/xfail_sets.py
+++ b/e2e_testing/torchscript/xfail_sets.py
@@ -175,6 +175,11 @@
 }
 
 LTC_XFAIL_SET = {
+    "_Convolution2DAllFalseModule_basic",
+    "_Convolution2DBenchmarkModule_basic",
+    "_Convolution2DCudnnModule_basic",
+    "_Convolution2DDeterministicModule_basic",
+    "_Convolution2DTF32Module_basic",
     "AdaptiveAvgPool2dNonUnitOutputSizeDynamicModule_basic",
     "AdaptiveAvgPool2dNonUnitOutputSizeStaticModule_basic",
     "AddIntModule_basic",
diff --git a/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td b/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
index f9230e36085c..a9bba698ea2f 100644
--- a/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
+++ b/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
@@ -5293,32 +5293,6 @@ def Torch_AtenSelectIntOp : Torch_Op<"aten.select.int", [
   }];
 }
 
-def Torch_AtenSelectScatterOp : Torch_Op<"aten.select_scatter", [
-    AllowsTypeRefinement,
-    HasValueSemantics,
-    ReadOnly
-  ]> {
-  let summary = "Generated op for `aten::select_scatter : (Tensor, Tensor, int, int) -> (Tensor)`";
-  let arguments = (ins
-    AnyTorchTensorType:$self,
-    AnyTorchTensorType:$src,
-    Torch_IntType:$dim,
-    Torch_IntType:$index
-  );
-  let results = (outs
-    AnyTorchTensorType:$result
-  );
-  let hasCustomAssemblyFormat = 1;
-  let extraClassDefinition = [{
-    ParseResult AtenSelectScatterOp::parse(OpAsmParser &parser, OperationState &result) {
-      return parseDefaultTorchOp(parser, result, 4, 1);
-    }
-    void AtenSelectScatterOp::print(OpAsmPrinter &printer) {
-      printDefaultTorchOp(printer, *this, 4, 1);
-    }
-  }];
-}
-
 def Torch_AtenSizeIntOp : Torch_Op<"aten.size.int", [
     AllowsTypeRefinement,
     HasValueSemantics,
@@ -5774,34 +5748,6 @@ def Torch_AtenSliceTensorOp : Torch_Op<"aten.slice.Tensor", [
   }];
 }
 
-def Torch_AtenSliceScatterOp : Torch_Op<"aten.slice_scatter", [
-    AllowsTypeRefinement,
-    HasValueSemantics,
-    ReadOnly
-  ]> {
-  let summary = "Generated op for `aten::slice_scatter : (Tensor, Tensor, int, int?, int?, int) -> (Tensor)`";
-  let arguments = (ins
-    AnyTorchTensorType:$self,
-    AnyTorchTensorType:$src,
-    Torch_IntType:$dim,
-    AnyTorchOptionalIntType:$start,
-    AnyTorchOptionalIntType:$end,
-    Torch_IntType:$step
-  );
-  let results = (outs
-    AnyTorchTensorType:$result
-  );
-  let hasCustomAssemblyFormat = 1;
-  let extraClassDefinition = [{
-    ParseResult AtenSliceScatterOp::parse(OpAsmParser &parser, OperationState &result) {
-      return parseDefaultTorchOp(parser, result, 6, 1);
-    }
-    void AtenSliceScatterOp::print(OpAsmPrinter &printer) {
-      printDefaultTorchOp(printer, *this, 6, 1);
-    }
-  }];
-}
-
 def Torch_AtenLenTensorOp : Torch_Op<"aten.len.Tensor", [
     AllowsTypeRefinement,
     HasValueSemantics,
diff --git a/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/torch_ods_gen.py b/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/torch_ods_gen.py
index c3722bb355e1..8ccba234e29d 100644
--- a/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/torch_ods_gen.py
+++ b/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/torch_ods_gen.py
@@ -437,7 +437,6 @@ def emit_with_mutating_variants(key, **kwargs):
     emit("aten::_reshape_alias : (Tensor, int[], int[]) -> (Tensor)")
     emit("aten::resize_ : (Tensor, int[], int?) -> (Tensor)")
     emit("aten::select.int : (Tensor, int, int) -> (Tensor)")
-    emit("aten::select_scatter : (Tensor, Tensor, int, int) -> (Tensor)")
     emit("aten::size.int : (Tensor, int) -> (int)", has_folder=True)
     emit("aten::stack : (Tensor[], int) -> (Tensor)")
     emit("aten::sum : (Tensor, int?) -> (Tensor)")
@@ -456,7 +455,6 @@ def emit_with_mutating_variants(key, **kwargs):
     emit("aten::where.ScalarOther : (Tensor, Tensor, Scalar) -> (Tensor)")
     emit("aten::where.ScalarSelf : (Tensor, Scalar, Tensor) -> (Tensor)")
     emit("aten::slice.Tensor : (Tensor, int, int?, int?, int) -> (Tensor)")
-    emit("aten::slice_scatter : (Tensor, Tensor, int, int?, int?, int) -> (Tensor)")
     emit("aten::len.Tensor : (Tensor) -> (int)")
     emit("aten::cpu : (Tensor) -> (Tensor)")
     emit("aten::gather : (Tensor, int, Tensor, bool) -> (Tensor)")