emit Torch_AtenAnyDimsOp

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

@@ -10120,6 +10120,31 @@ def Torch_AtenAnyDimOp : Torch_Op<"aten.any.dim", [
   }];
 }
 
+def Torch_AtenAnyDimsOp : Torch_Op<"aten.any.dims", [
+    AllowsTypeRefinement,
+    HasValueSemantics,
+    ReadOnly
+  ]> {
+  let summary = "Generated op for `aten::any.dims : (Tensor, int[]?, bool) -> (Tensor)`";
+  let arguments = (ins
+    AnyTorchTensorType:$self,
+    AnyTorchOptionalListOfTorchIntType:$dim,
+    Torch_BoolType:$keepdim
+  );
+  let results = (outs
+    AnyTorchOptionalTensorType:$result
+  );
+  let hasCustomAssemblyFormat = 1;
+  let extraClassDefinition = [{
+    ParseResult AtenAnyDimsOp::parse(OpAsmParser &parser, OperationState &result) {
+      return parseDefaultTorchOp(parser, result, 3, 1);
+    }
+    void AtenAnyDimsOp::print(OpAsmPrinter &printer) {
+      printDefaultTorchOp(printer, *this, 3, 1);
+    }
+  }];
+}
+
 def Torch_AtenArangeOp : Torch_Op<"aten.arange", [
     AllowsTypeRefinement,
     HasValueSemantics,

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

@@ -785,6 +785,7 @@ def emit_ops(emitter_td: TextEmitter, registry: Registry):
     emit("aten::all.dim : (Tensor, int, bool) -> (Tensor)")
     emit("aten::any : (Tensor) -> (Tensor)")
     emit("aten::any.dim : (Tensor, int, bool) -> (Tensor)")
+    emit("aten::any.dims : (Tensor, int[]?, bool) -> (Tensor)")
     emit("aten::arange : (Scalar, int?, int?, Device?, bool?) -> (Tensor)")
     emit(
         "aten::arange.start : (Scalar, Scalar, int?, int?, Device?, bool?) -> (Tensor)"