fix min_inputs in num_inputs_check

src/frontends/pytorch/src/op/bucketize.cpp

@@ -1,50 +1,50 @@
-// Copyright (C) 2018-2024 Intel Corporation
-// SPDX-License-Identifier: Apache-2.0
-//
-
-#include "openvino/op/bucketize.hpp"
-
-#include "openvino/frontend/pytorch/node_context.hpp"
-#include "openvino/op/add.hpp"
-#include "openvino/op/concat.hpp"
-#include "openvino/op/convert_like.hpp"
-#include "openvino/op/logical_or.hpp"
-#include "openvino/op/multiply.hpp"
-#include "utils.hpp"
-
-namespace ov {
-namespace frontend {
-namespace pytorch {
-namespace op {
-
-using namespace ov::op;
-
-OutputVector translate_bucketize(const NodeContext& context) {
-    num_inputs_check(context, 4, 5);
-    auto input = context.get_input(0);
-    auto boundaries = context.get_input(1);
-
-    element::Type output_type = ov::element::i64;
-    if (!context.input_is_none(2) && context.const_input<bool>(2)) {
-        output_type = ov::element::i32;
-    }
-
-    bool with_right_bound = true;
-    if (!context.input_is_none(3)) {
-        with_right_bound = !context.const_input<bool>(3);
-    }
-
-    auto bucketize =
-        context.mark_node(std::make_shared<v3::Bucketize>(input, boundaries, output_type, with_right_bound));
-
-    if (!context.input_is_none(4)) {
-        context.mutate_input(4, bucketize);
-    }
-
-    return {bucketize};
-};
-
-}  // namespace op
-}  // namespace pytorch
-}  // namespace frontend
+// Copyright (C) 2018-2024 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "openvino/op/bucketize.hpp"
+
+#include "openvino/frontend/pytorch/node_context.hpp"
+#include "openvino/op/add.hpp"
+#include "openvino/op/concat.hpp"
+#include "openvino/op/convert_like.hpp"
+#include "openvino/op/logical_or.hpp"
+#include "openvino/op/multiply.hpp"
+#include "utils.hpp"
+
+namespace ov {
+namespace frontend {
+namespace pytorch {
+namespace op {
+
+using namespace ov::op;
+
+OutputVector translate_bucketize(const NodeContext& context) {
+    num_inputs_check(context, 2, 5);
+    auto input = context.get_input(0);
+    auto boundaries = context.get_input(1);
+
+    element::Type output_type = ov::element::i64;
+    if (!context.input_is_none(2) && context.const_input<bool>(2)) {
+        output_type = ov::element::i32;
+    }
+
+    bool with_right_bound = true;
+    if (!context.input_is_none(3)) {
+        with_right_bound = !context.const_input<bool>(3);
+    }
+
+    auto bucketize =
+        context.mark_node(std::make_shared<v3::Bucketize>(input, boundaries, output_type, with_right_bound));
+
+    if (!context.input_is_none(4)) {
+        context.mutate_input(4, bucketize);
+    }
+
+    return {bucketize};
+};
+
+}  // namespace op
+}  // namespace pytorch
+}  // namespace frontend
 }  // namespace ov