diff --git a/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td b/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
index 1de407a8a..9c2cfcfb3 100644
--- a/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
+++ b/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
@@ -8356,6 +8356,7 @@ def Torch_AtenBroadcastToOp : Torch_Op<"aten.broadcast_to", [
       printDefaultTorchOp(printer, *this, 2, 1);
     }
   }];
+  let hasFolder = 1;
 }
 
 def Torch_AtenIndexTensorOp : Torch_Op<"aten.index.Tensor", [
diff --git a/lib/Dialect/Torch/IR/TorchOps.cpp b/lib/Dialect/Torch/IR/TorchOps.cpp
index a7279d347..c2bedd5f6 100644
--- a/lib/Dialect/Torch/IR/TorchOps.cpp
+++ b/lib/Dialect/Torch/IR/TorchOps.cpp
@@ -2317,6 +2317,25 @@ OpFoldResult AtenStackOp::fold(FoldAdaptor adaptor) {
   return list.getElements()[0];
 }
 
+//===----------------------------------------------------------------------===//
+// AtenBroadcastToOp
+//===----------------------------------------------------------------------===//
+
+OpFoldResult AtenBroadcastToOp::fold(FoldAdaptor adaptor) {
+  auto inType = getOperand(0).getType().dyn_cast<BaseTensorType>();
+  auto outType = getResult().getType().dyn_cast<BaseTensorType>();
+  if (!inType || !outType || !inType.hasSizes() || !outType.hasSizes())
+    return nullptr;
+  if (inType.getSizes().size() != outType.getSizes().size() ||
+      !inType.areAllSizesKnown() || !outType.areAllSizesKnown())
+    return nullptr;
+  for (size_t i = 0; i < inType.getSizes().size(); ++i) {
+    if (inType.getSizes()[i] != outType.getSizes()[i])
+      return nullptr;
+  }
+  return getOperand(0);
+}
+
 //===----------------------------------------------------------------------===//
 // AtenSliceTensorOp
 //===----------------------------------------------------------------------===//
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 0d2ae9af8..c192dacc4 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
@@ -542,7 +542,7 @@ def emit_ops(emitter_td: TextEmitter, registry: Registry):
     emit("aten::empty.memory_format : (int[], int?, int?, Device?, bool?, int?) -> (Tensor)")
     emit("aten::expand : (Tensor, int[], bool) -> (Tensor)")
     emit("aten::expand_as : (Tensor, Tensor) -> (Tensor)")
-    emit("aten::broadcast_to : (Tensor, int[]) -> (Tensor)")
+    emit("aten::broadcast_to : (Tensor, int[]) -> (Tensor)", has_folder=True)
     emit("aten::index.Tensor : (Tensor, Tensor?[]) -> (Tensor)")
     emit("aten::index.Tensor_hacked_twin : (Tensor, Tensor[]) -> (Tensor)")
     emit("aten::index_select : (Tensor, int, Tensor) -> (Tensor)")
diff --git a/test/Dialect/Torch/canonicalize.mlir b/test/Dialect/Torch/canonicalize.mlir
index 88b73ed5c..21e0500f4 100644
--- a/test/Dialect/Torch/canonicalize.mlir
+++ b/test/Dialect/Torch/canonicalize.mlir
@@ -1971,6 +1971,18 @@ func.func @torch.aten.cat$fold_single_operand(%arg0: !torch.tensor) -> !torch.te
   return %1: !torch.tensor
 }
 
+// CHECK-LABEL:   func.func @torch.aten.broadcast_to$fold(
+// CHECK-SAME:            %[[ARG:.*]]: !torch.vtensor<[3,4,2],f32>) -> !torch.vtensor<[3,4,2],f32> {
+// CHECK-NEXT:      return %[[ARG]] : !torch.vtensor<[3,4,2],f32>
+func.func @torch.aten.broadcast_to$fold(%arg0: !torch.vtensor<[3,4,2],f32>) -> !torch.vtensor<[3,4,2],f32> {
+  %int3 = torch.constant.int 3
+  %int4 = torch.constant.int 4
+  %int2 = torch.constant.int 2
+  %list = torch.prim.ListConstruct %int3, %int4, %int2 : (!torch.int, !torch.int, !torch.int) -> !torch.list<int>
+  %0 = torch.aten.broadcast_to %arg0, %list : !torch.vtensor<[3,4,2],f32>, !torch.list<int> -> !torch.vtensor<[3,4,2],f32>
+  return %0 : !torch.vtensor<[3,4,2],f32>
+}
+
 //  CHECK-LABEL:    @torch.aten.slice.tensor$fold_full_domain_slice
 //   CHECK-SAME:      %[[ARG0:.+]]: !torch.vtensor<[4],f32>
 //        CHECK:        return %[[ARG0]] : !torch.vtensor<[4],f32>