diff --git a/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td b/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
index ec14fd287..684d33c92 100644
--- a/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
+++ b/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
@@ -2556,7 +2556,7 @@ def Torch_AtenIndexPutOp : Torch_Op<"aten.index_put", [
   let summary = "Generated op for `aten::index_put : (Tensor, Tensor?[], Tensor, bool) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    AnyTorchOptionalTensorListType:$indices,
+    AnyTorchListOfOptionalTensorType:$indices,
     AnyTorchTensorType:$values,
     Torch_BoolType:$accumulate
   );
@@ -2581,7 +2581,7 @@ def Torch_AtenIndexPut_Op : Torch_Op<"aten.index_put_", [
   let summary = "Generated op for `aten::index_put_ : (Tensor, Tensor?[], Tensor, bool) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    AnyTorchOptionalTensorListType:$indices,
+    AnyTorchListOfOptionalTensorType:$indices,
     AnyTorchTensorType:$values,
     Torch_BoolType:$accumulate
   );
@@ -2709,9 +2709,9 @@ def Torch_AtenConv2dOp : Torch_Op<"aten.conv2d", [
     AnyTorchTensorType:$input,
     AnyTorchTensorType:$weight,
     AnyTorchOptionalTensorType:$bias,
-    TorchIntListType:$stride,
-    TorchIntListType:$padding,
-    TorchIntListType:$dilation,
+    ListOfTorchIntType:$stride,
+    ListOfTorchIntType:$padding,
+    ListOfTorchIntType:$dilation,
     Torch_IntType:$groups
   );
   let results = (outs
@@ -2799,7 +2799,7 @@ def Torch_AtenLayerNormOp : Torch_Op<"aten.layer_norm", [
   let summary = "Generated op for `aten::layer_norm : (Tensor, int[], Tensor?, Tensor?, float, bool) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$input,
-    TorchIntListType:$normalized_shape,
+    ListOfTorchIntType:$normalized_shape,
     AnyTorchOptionalTensorType:$weight,
     AnyTorchOptionalTensorType:$bias,
     Torch_FloatType:$eps,
@@ -2827,7 +2827,7 @@ def Torch_AtenNativeLayerNormOp : Torch_Op<"aten.native_layer_norm", [
   let summary = "Generated op for `aten::native_layer_norm : (Tensor, int[], Tensor?, Tensor?, float) -> (Tensor, Tensor, Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$input,
-    TorchIntListType:$normalized_shape,
+    ListOfTorchIntType:$normalized_shape,
     AnyTorchOptionalTensorType:$weight,
     AnyTorchOptionalTensorType:$bias,
     Torch_FloatType:$eps
@@ -2856,10 +2856,10 @@ def Torch_AtenMaxPool2dOp : Torch_Op<"aten.max_pool2d", [
   let summary = "Generated op for `aten::max_pool2d : (Tensor, int[], int[], int[], int[], bool) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$kernel_size,
-    TorchIntListType:$stride,
-    TorchIntListType:$padding,
-    TorchIntListType:$dilation,
+    ListOfTorchIntType:$kernel_size,
+    ListOfTorchIntType:$stride,
+    ListOfTorchIntType:$padding,
+    ListOfTorchIntType:$dilation,
     Torch_BoolType:$ceil_mode
   );
   let results = (outs
@@ -2959,7 +2959,7 @@ def Torch_AtenAdaptiveAvgPool2dOp : Torch_Op<"aten.adaptive_avg_pool2d", [
   let summary = "Generated op for `aten::adaptive_avg_pool2d : (Tensor, int[]) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$output_size
+    ListOfTorchIntType:$output_size
   );
   let results = (outs
     AnyTorchTensorType:$result
@@ -3034,7 +3034,7 @@ def Torch_AtenPermuteOp : Torch_Op<"aten.permute", [
   let summary = "Generated op for `aten::permute : (Tensor, int[]) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$dims
+    ListOfTorchIntType:$dims
   );
   let results = (outs
     AnyTorchTensorType:$result
@@ -3131,7 +3131,7 @@ def Torch_AtenLogsumexpOp : Torch_Op<"aten.logsumexp", [
   let summary = "Generated op for `aten::logsumexp : (Tensor, int[], bool) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$dim,
+    ListOfTorchIntType:$dim,
     Torch_BoolType:$keepdim
   );
   let results = (outs
@@ -3156,7 +3156,7 @@ def Torch_AtenMeanDimOp : Torch_Op<"aten.mean.dim", [
   let summary = "Generated op for `aten::mean.dim : (Tensor, int[], bool, int?) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$dim,
+    ListOfTorchIntType:$dim,
     Torch_BoolType:$keepdim,
     TorchOptionalIntType:$dtype
   );
@@ -3408,7 +3408,7 @@ def Torch_AtenConstantPadNdOp : Torch_Op<"aten.constant_pad_nd", [
   let summary = "Generated op for `aten::constant_pad_nd : (Tensor, int[], Scalar) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$pad,
+    ListOfTorchIntType:$pad,
     AnyTorchScalarType:$value
   );
   let results = (outs
@@ -3553,7 +3553,7 @@ def Torch_AtenSizeOp : Torch_Op<"aten.size", [
     AnyTorchTensorType:$self
   );
   let results = (outs
-    TorchIntListType:$result
+    ListOfTorchIntType:$result
   );
   let hasCustomAssemblyFormat = 1;
   let extraClassDefinition = [{
@@ -3597,7 +3597,7 @@ def Torch_AtenOnesOp : Torch_Op<"aten.ones", [
   ]> {
   let summary = "Generated op for `aten::ones : (int[], int?, int?, Device?, bool?) -> (Tensor)`";
   let arguments = (ins
-    TorchIntListType:$size,
+    ListOfTorchIntType:$size,
     TorchOptionalIntType:$dtype,
     TorchOptionalIntType:$layout,
     TorchOptionalDeviceType:$device,
@@ -3625,7 +3625,7 @@ def Torch_AtenNewOnesOp : Torch_Op<"aten.new_ones", [
   let summary = "Generated op for `aten::new_ones : (Tensor, int[], int?, int?, Device?, bool?) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$size,
+    ListOfTorchIntType:$size,
     TorchOptionalIntType:$dtype,
     TorchOptionalIntType:$layout,
     TorchOptionalDeviceType:$device,
@@ -3652,7 +3652,7 @@ def Torch_AtenZerosOp : Torch_Op<"aten.zeros", [
   ]> {
   let summary = "Generated op for `aten::zeros : (int[], int?, int?, Device?, bool?) -> (Tensor)`";
   let arguments = (ins
-    TorchIntListType:$size,
+    ListOfTorchIntType:$size,
     TorchOptionalIntType:$dtype,
     TorchOptionalIntType:$layout,
     TorchOptionalDeviceType:$device,
@@ -3701,7 +3701,7 @@ def Torch_AtenNewZerosOp : Torch_Op<"aten.new_zeros", [
   let summary = "Generated op for `aten::new_zeros : (Tensor, int[], int?, int?, Device?, bool?) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$size,
+    ListOfTorchIntType:$size,
     TorchOptionalIntType:$dtype,
     TorchOptionalIntType:$layout,
     TorchOptionalDeviceType:$device,
@@ -4212,7 +4212,7 @@ def Torch_AtenNewEmptyOp : Torch_Op<"aten.new_empty", [
   let summary = "Generated op for `aten::new_empty : (Tensor, int[], int?, int?, Device?, bool?) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$size,
+    ListOfTorchIntType:$size,
     TorchOptionalIntType:$dtype,
     TorchOptionalIntType:$layout,
     TorchOptionalDeviceType:$device,
@@ -4295,7 +4295,7 @@ def Torch_AtenEmptyMemoryFormatOp : Torch_Op<"aten.empty.memory_format", [
   ]> {
   let summary = "Generated op for `aten::empty.memory_format : (int[], int?, int?, Device?, bool?, int?) -> (Tensor)`";
   let arguments = (ins
-    TorchIntListType:$size,
+    ListOfTorchIntType:$size,
     TorchOptionalIntType:$dtype,
     TorchOptionalIntType:$layout,
     TorchOptionalDeviceType:$device,
@@ -4323,7 +4323,7 @@ def Torch_AtenExpandOp : Torch_Op<"aten.expand", [
   let summary = "Generated op for `aten::expand : (Tensor, int[], bool) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$size,
+    ListOfTorchIntType:$size,
     Torch_BoolType:$implicit
   );
   let results = (outs
@@ -4370,7 +4370,7 @@ def Torch_AtenBroadcastToOp : Torch_Op<"aten.broadcast_to", [
   let summary = "Generated op for `aten::broadcast_to : (Tensor, int[]) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$size
+    ListOfTorchIntType:$size
   );
   let results = (outs
     AnyTorchTensorType:$result
@@ -4394,7 +4394,7 @@ def Torch_AtenIndexTensorOp : Torch_Op<"aten.index.Tensor", [
   let summary = "Generated op for `aten::index.Tensor : (Tensor, Tensor?[]) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    AnyTorchOptionalTensorListType:$indices
+    AnyTorchListOfOptionalTensorType:$indices
   );
   let results = (outs
     AnyTorchTensorType:$result
@@ -4441,7 +4441,7 @@ def Torch_Aten_IndexPutImpl_Op : Torch_Op<"aten._index_put_impl_", [
   let summary = "Generated op for `aten::_index_put_impl_ : (Tensor, Tensor?[], Tensor, bool, bool) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    AnyTorchOptionalTensorListType:$indices,
+    AnyTorchListOfOptionalTensorType:$indices,
     AnyTorchTensorType:$values,
     Torch_BoolType:$accumulate,
     Torch_BoolType:$unsafe
@@ -4538,7 +4538,7 @@ def Torch_AtenRepeatOp : Torch_Op<"aten.repeat", [
   let summary = "Generated op for `aten::repeat : (Tensor, int[]) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$repeats
+    ListOfTorchIntType:$repeats
   );
   let results = (outs
     AnyTorchTensorType:$result
@@ -4561,7 +4561,7 @@ def Torch_AtenReshapeOp : Torch_Op<"aten.reshape", [
   let summary = "Generated op for `aten::reshape : (Tensor, int[]) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$shape
+    ListOfTorchIntType:$shape
   );
   let results = (outs
     AnyTorchTensorType:$result
@@ -4584,8 +4584,8 @@ def Torch_Aten_ReshapeAliasOp : Torch_Op<"aten._reshape_alias", [
   let summary = "Generated op for `aten::_reshape_alias : (Tensor, int[], int[]) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$size,
-    TorchIntListType:$stride
+    ListOfTorchIntType:$size,
+    ListOfTorchIntType:$stride
   );
   let results = (outs
     AnyTorchTensorType:$result
@@ -4607,7 +4607,7 @@ def Torch_AtenResize_Op : Torch_Op<"aten.resize_", [
   let summary = "Generated op for `aten::resize_ : (Tensor, int[], int?) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$size,
+    ListOfTorchIntType:$size,
     TorchOptionalIntType:$memory_format
   );
   let results = (outs
@@ -4680,7 +4680,7 @@ def Torch_AtenStackOp : Torch_Op<"aten.stack", [
   ]> {
   let summary = "Generated op for `aten::stack : (Tensor[], int) -> (Tensor)`";
   let arguments = (ins
-    AnyTorchTensorListType:$tensors,
+    AnyTorchListOfTensorType:$tensors,
     Torch_IntType:$dim
   );
   let results = (outs
@@ -4729,7 +4729,7 @@ def Torch_AtenSumDimIntListOp : Torch_Op<"aten.sum.dim_IntList", [
   let summary = "Generated op for `aten::sum.dim_IntList : (Tensor, int[], bool, int?) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$dim,
+    ListOfTorchIntType:$dim,
     Torch_BoolType:$keepdim,
     TorchOptionalIntType:$dtype
   );
@@ -4906,7 +4906,7 @@ def Torch_AtenViewOp : Torch_Op<"aten.view", [
   let summary = "Generated op for `aten::view : (Tensor, int[]) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$size
+    ListOfTorchIntType:$size
   );
   let results = (outs
     AnyTorchTensorType:$result
@@ -4931,7 +4931,7 @@ def Torch_Aten_UnsafeViewOp : Torch_Op<"aten._unsafe_view", [
   let summary = "Generated op for `aten::_unsafe_view : (Tensor, int[]) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    TorchIntListType:$size
+    ListOfTorchIntType:$size
   );
   let results = (outs
     AnyTorchTensorType:$result
@@ -5295,7 +5295,7 @@ def Torch_AtenFullOp : Torch_Op<"aten.full", [
   ]> {
   let summary = "Generated op for `aten::full : (int[], Scalar, int?, int?, Device?, bool?) -> (Tensor)`";
   let arguments = (ins
-    TorchIntListType:$size,
+    ListOfTorchIntType:$size,
     AnyTorchScalarType:$fill_value,
     TorchOptionalIntType:$dtype,
     TorchOptionalIntType:$layout,
@@ -5425,7 +5425,7 @@ def Torch_AtenKeysStrOp : Torch_Op<"aten.keys.str", [
     Torch_DictType:$self
   );
   let results = (outs
-    TorchStringListType:$result
+    ListOfTorchStringType:$result
   );
   let hasCustomAssemblyFormat = 1;
   let extraClassDefinition = [{
@@ -5490,7 +5490,7 @@ def Torch_AtenCatOp : Torch_Op<"aten.cat", [
   ]> {
   let summary = "Generated op for `aten::cat : (Tensor[], int) -> (Tensor)`";
   let arguments = (ins
-    AnyTorchTensorListType:$tensors,
+    AnyTorchListOfTensorType:$tensors,
     Torch_IntType:$dim
   );
   let results = (outs
@@ -5560,8 +5560,8 @@ def Torch_AtenEqIntListOp : Torch_Op<"aten.eq.int_list", [
   ]> {
   let summary = "Generated op for `aten::eq.int_list : (int[], int[]) -> (bool)`";
   let arguments = (ins
-    TorchIntListType:$a,
-    TorchIntListType:$b
+    ListOfTorchIntType:$a,
+    ListOfTorchIntType:$b
   );
   let results = (outs
     Torch_BoolType:$result
@@ -5656,8 +5656,8 @@ def Torch_AtenNeIntListOp : Torch_Op<"aten.ne.int_list", [
   ]> {
   let summary = "Generated op for `aten::ne.int_list : (int[], int[]) -> (bool)`";
   let arguments = (ins
-    TorchIntListType:$a,
-    TorchIntListType:$b
+    ListOfTorchIntType:$a,
+    ListOfTorchIntType:$b
   );
   let results = (outs
     Torch_BoolType:$result
@@ -5767,7 +5767,7 @@ def Torch_AtenJoinOp : Torch_Op<"aten.join", [
   let summary = "Generated op for `aten::join : (str, str[]) -> (str)`";
   let arguments = (ins
     Torch_StringType:$self,
-    TorchStringListType:$values
+    ListOfTorchStringType:$values
   );
   let results = (outs
     Torch_StringType:$result
@@ -6905,7 +6905,7 @@ def Torch_PrimMinSelfIntOp : Torch_Op<"prim.min.self_int", [
   ]> {
   let summary = "Generated op for `prim::min.self_int : (int[]) -> (int)`";
   let arguments = (ins
-    TorchIntListType:$self
+    ListOfTorchIntType:$self
   );
   let results = (outs
     Torch_IntType:$result
@@ -6953,7 +6953,7 @@ def Torch_PrimMaxSelfIntOp : Torch_Op<"prim.max.self_int", [
   ]> {
   let summary = "Generated op for `prim::max.self_int : (int[]) -> (int)`";
   let arguments = (ins
-    TorchIntListType:$self
+    ListOfTorchIntType:$self
   );
   let results = (outs
     Torch_IntType:$result
diff --git a/include/torch-mlir/Dialect/Torch/IR/TorchOps.td b/include/torch-mlir/Dialect/Torch/IR/TorchOps.td
index 63061074b..f57a6b006 100644
--- a/include/torch-mlir/Dialect/Torch/IR/TorchOps.td
+++ b/include/torch-mlir/Dialect/Torch/IR/TorchOps.td
@@ -1042,7 +1042,7 @@ def Torch_ValsemVariantAtenIndexPutImplOp: Torch_Op<"valsem.aten.index_put_impl"
   let summary = "`index_put_impl op : (Tensor, Tensor?[], Tensor, bool, bool) -> (Tensor)`";
   let arguments = (ins
     AnyTorchTensorType:$self,
-    AnyTorchOptionalTensorListType:$indices,
+    AnyTorchListOfOptionalTensorType:$indices,
     AnyTorchTensorType:$values,
     Torch_BoolType:$accumulate,
     Torch_BoolType:$unsafe
@@ -1171,7 +1171,7 @@ def Torch_ShapeCalculateYieldShapesOp : Torch_Op<"shape.calculate.yield.shapes",
   }];
 
   let arguments = (ins
-    Variadic<TorchIntListType>:$results
+    Variadic<ListOfTorchIntType>:$results
   );
   let results = (outs);
 
diff --git a/include/torch-mlir/Dialect/Torch/IR/TorchTypes.td b/include/torch-mlir/Dialect/Torch/IR/TorchTypes.td
index 2eb6c5a43..c643eb646 100644
--- a/include/torch-mlir/Dialect/Torch/IR/TorchTypes.td
+++ b/include/torch-mlir/Dialect/Torch/IR/TorchTypes.td
@@ -425,14 +425,15 @@ class ListOf<list<Type> allowedTypes, string descr> :
             "$_self.cast<::mlir::torch::Torch::ListType>().getContainedType()",
             descr, "::mlir::torch::Torch::ListType">;
 
-def TorchBoolListType : ListOf<[Torch_BoolType], "Bool list type (bool[])">;
-def TorchIntListType : ListOf<[Torch_IntType], "Int list type (int[])">;
-def TorchStringListType : ListOf<[Torch_StringType], "Str list type (str[])">;
-def AnyTorchTensorListType:
+def ListOfTorchBoolType : ListOf<[Torch_BoolType], "Bool list type (bool[])">;
+def ListOfTorchIntType : ListOf<[Torch_IntType], "Int list type (int[])">;
+def ListOfTorchStringType : ListOf<[Torch_StringType], "Str list type (str[])">;
+def AnyTorchListOfTensorType:
       ListOf<[AnyTorchTensorType], "Any int list type (Tensor[])">;
-def AnyTorchOptionalTensorListType :
+def AnyTorchListOfOptionalTensorType :
       ListOf<[AnyTorchOptionalTensorType],
              "Any optional tensor list type (Tensor?[])">;
+def OptionalListOfTorchIntType : OptionalOf<ListOfTorchIntType, "Optional torch int list type (int[]?)">;
 
 // Note: TorchScript does not consider !torch.bool to be a Scalar.
 def AnyTorchScalarType :
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 a0be58bc4..680341ea6 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
@@ -20,15 +20,16 @@ from .registry import Registry, JitOperator
 TORCH_TYPE_TO_ODS_TYPE = {
     "Tensor": "AnyTorchTensorType",
     "Tensor?": "AnyTorchOptionalTensorType",
-    "Tensor?[]": "AnyTorchOptionalTensorListType",
-    "Tensor[]": "AnyTorchTensorListType",
+    "Tensor?[]": "AnyTorchListOfOptionalTensorType",
+    "Tensor[]": "AnyTorchListOfTensorType",
     "Scalar": "AnyTorchScalarType",
     "Scalar?": "AnyTorchOptionalScalarType",
     "int": "Torch_IntType",
-    "int[]": "TorchIntListType",
+    "int[]": "ListOfTorchIntType",
     "int?": "TorchOptionalIntType",
+    "int[]?": "OptionalListOfTorchIntType",
     "bool": "Torch_BoolType",
-    "bool[]": "TorchBoolListType",
+    "bool[]": "ListOfTorchBoolType",
     "bool?": "TorchOptionalBoolType",
     "float": "Torch_FloatType",
     "t[]": "AnyTorchListType",
@@ -42,7 +43,7 @@ TORCH_TYPE_TO_ODS_TYPE = {
     "Generator?": "TorchOptionalGeneratorType",
     "str": "Torch_StringType",
     "str?": "TorchOptionalStringType",
-    "str[]": "TorchStringListType",
+    "str[]": "ListOfTorchStringType",
     "Dict": "Torch_DictType",
     "__torch__.torch.classes.quantized.LinearPackedParamsBase": "Torch_LinearParamsType",
 }