diff --git a/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td b/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
index 87d2e884c4fd..3b01c79b9eed 100644
--- a/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
+++ b/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
@@ -11506,6 +11506,7 @@ def Torch_AtenReshapeOp : Torch_Op<"aten.reshape", [
       printDefaultTorchOp(printer, *this, 2, 1);
     }
   }];
+  let hasFolder = 1;
 }
 
 def Torch_AtenReshapeAsOp : Torch_Op<"aten.reshape_as", [
diff --git a/lib/Dialect/Torch/IR/TorchOps.cpp b/lib/Dialect/Torch/IR/TorchOps.cpp
index a7ce975b0e26..11f021d86ceb 100644
--- a/lib/Dialect/Torch/IR/TorchOps.cpp
+++ b/lib/Dialect/Torch/IR/TorchOps.cpp
@@ -2261,6 +2261,19 @@ void AtenUnflattenIntOp::getCanonicalizationPatterns(
   });
 }
 
+//===----------------------------------------------------------------------===//
+// AtenReshapeOp
+//===----------------------------------------------------------------------===//
+
+OpFoldResult AtenReshapeOp::fold(FoldAdaptor adaptor) {
+  auto selfTy = dyn_cast<ValueTensorType>(getSelf().getType());
+  auto opTy = dyn_cast<ValueTensorType>(getType());
+  if (selfTy && selfTy == opTy && selfTy.hasSizes() &&
+      selfTy.toBuiltinTensor().hasStaticShape())
+    return getSelf();
+  return nullptr;
+}
+
 //===----------------------------------------------------------------------===//
 // AtenSelectIntOp
 //===----------------------------------------------------------------------===//
diff --git a/projects/pt1/python/torch_mlir/jit_ir_importer/build_tools/torch_ods_gen.py b/projects/pt1/python/torch_mlir/jit_ir_importer/build_tools/torch_ods_gen.py
index 8276af7ccfb6..82c882ea79ee 100644
--- a/projects/pt1/python/torch_mlir/jit_ir_importer/build_tools/torch_ods_gen.py
+++ b/projects/pt1/python/torch_mlir/jit_ir_importer/build_tools/torch_ods_gen.py
@@ -865,7 +865,7 @@ def emit_with_mutating_variants(key, **kwargs):
     emit("aten::repeat_interleave.Tensor : (Tensor, int?) -> (Tensor)")
     emit("aten::repeat_interleave.self_int : (Tensor, int, int?, int?) -> (Tensor)")
     emit("aten::tile : (Tensor, int[]) -> (Tensor)")
-    emit("aten::reshape : (Tensor, int[]) -> (Tensor)")
+    emit("aten::reshape : (Tensor, int[]) -> (Tensor)", has_folder=True)
     emit("aten::reshape_as : (Tensor, Tensor) -> (Tensor)")
     emit("aten::_reshape_alias : (Tensor, int[], int[]) -> (Tensor)")
     emit("aten::resize : (Tensor, int[], int?) -> (Tensor)")