[Torch Dialect] add fold pattern for aten.clone

include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td

@@ -9101,6 +9101,7 @@ def Torch_AtenCloneOp : Torch_Op<"aten.clone", [
       printDefaultTorchOp(printer, *this, 2, 1);
     }
   }];
+  let hasFolder = 1;
 }
 
 def Torch_AtenLiftFreshCopyOp : Torch_Op<"aten.lift_fresh_copy", [

lib/Dialect/Torch/IR/TorchOps.cpp

@@ -1658,6 +1658,18 @@ void AtenMaskedFillTensorOp::getCanonicalizationPatterns(
   });
 }
 
+//===----------------------------------------------------------------------===//
+// AtenCloneOp
+//===----------------------------------------------------------------------===//
+
+OpFoldResult AtenCloneOp::fold(FoldAdaptor adaptor) {
+  // self should have value semantics
+  if (llvm::dyn_cast<ValueTensorType>(getSelf().getType())) {
+    return getSelf();
+  }
+  return {};
+}
+
 //===----------------------------------------------------------------------===//
 // AtenSortIntOp
 //===----------------------------------------------------------------------===//

projects/pt1/e2e_testing/xfail_sets.py

@@ -1020,6 +1020,7 @@
     "BroadcastZeroRankInputStaticModule_basic",
     "BucketizeTensorStaticFloatModule_basic",
     "BucketizeTensorStaticModule_basic",
+    "CloneModule_basic",
     "ChunkListUnpackUneven_Module_basic",
     "ChunkListUnpack_Module_basic",
     "ConstantBoolParameterModule_basic",

projects/pt1/python/torch_mlir/jit_ir_importer/build_tools/torch_ods_gen.py

@@ -592,7 +592,7 @@ def emit_with_mutating_variants(key, **kwargs):
     emit("aten::one_hot : (Tensor, int) -> (Tensor)")
     emit("aten::einsum : (str, Tensor[], int[]?) -> (Tensor)")
     emit("aten::bucketize.Tensor : (Tensor, Tensor, bool, bool) -> (Tensor)")
-    emit("aten::clone : (Tensor, int?) -> (Tensor)")
+    emit("aten::clone : (Tensor, int?) -> (Tensor)", has_folder=True)
     emit("aten::lift_fresh_copy : (Tensor) -> (Tensor)")
     emit("aten::contiguous : (Tensor, int) -> (Tensor)")
     emit_with_mutating_variants("aten::copy : (Tensor, Tensor, bool) -> (Tensor)")

projects/pt1/python/torch_mlir_e2e_test/test_suite/basic.py

@@ -4994,3 +4994,23 @@ def forward(self, x):
 @register_test_case(module_factory=lambda: IscloseStaticModuleTrue())
 def IscloseStaticModuleTrue_basic(module, tu: TestUtils):
     module.forward(torch.ones(5, 5))
+
+
+# ==============================================================================
+
+class CloneModule(torch.nn.Module):
+
+    def __init__(self):
+        super().__init__()
+
+    @export
+    @annotate_args([
+        None,
+        ([5, 5], torch.float32, True),
+    ])
+    def forward(self, x):
+        return torch.ops.aten.clone(x)
+
+@register_test_case(module_factory=lambda: CloneModule())
+def CloneModule_basic(module, tu: TestUtils):
+    module.forward(tu.rand(5, 5))