[TF FE] Support ClipByValue operation (#15246)

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>

src/frontends/tensorflow/src/op/clip_by_value.cpp

@@ -0,0 +1,34 @@
+// Copyright (C) 2023 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "op_table.hpp"
+#include "openvino/opsets/opset10.hpp"
+
+using namespace std;
+using namespace ov::opset10;
+
+namespace ov {
+namespace frontend {
+namespace tensorflow {
+namespace op {
+OutputVector translate_clip_by_value_op(const NodeContext& node) {
+    default_op_checks(node, 3, {"ClipByValue"});
+    auto t = node.get_input(0);
+    auto clip_value_min = node.get_input(1);
+    auto clip_value_max = node.get_input(2);
+
+    // it can be case that clip_value_min > clip_value_max
+    // in this case both values are equal to clip_value_min
+    clip_value_max = make_shared<Maximum>(clip_value_min, clip_value_max);
+
+    auto clip_by_min = make_shared<Maximum>(t, clip_value_min);
+    auto clip_by_max = make_shared<Minimum>(clip_by_min, clip_value_max);
+
+    set_node_name(node.get_name(), clip_by_max);
+    return {clip_by_max};
+}
+}  // namespace op
+}  // namespace tensorflow
+}  // namespace frontend
+}  // namespace ov

src/frontends/tensorflow/src/op_table.cpp

@@ -37,6 +37,7 @@ OP_CONVERTER(translate_broadcast_args_op);
 OP_CONVERTER(translate_broadcast_to_op);
 OP_CONVERTER(translate_bucketize_op);
 OP_CONVERTER(translate_cast_op);
+OP_CONVERTER(translate_clip_by_value_op);
 OP_CONVERTER(translate_concat_op);
 OP_CONVERTER(translate_const_op);
 OP_CONVERTER(translate_conv_2d_op);
@@ -221,6 +222,7 @@ const std::map<std::string, CreatorFunction> get_supported_ops() {
         {"Bucketize", translate_bucketize_op},
         {"BiasAdd", translate_bias_add_op},
         {"Cast", translate_cast_op},
+        {"ClipByValue", translate_clip_by_value_op},
         {"Concat", translate_concat_op},
         {"ConcatV2", translate_concat_op},
         {"Const", translate_const_op},

tests/layer_tests/tensorflow_tests/test_tf_ClipByValue.py

@@ -0,0 +1,49 @@
+# Copyright (C) 2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import numpy as np
+import pytest
+import tensorflow as tf
+from common.tf_layer_test_class import CommonTFLayerTest
+
+
+class TestClipByValue(CommonTFLayerTest):
+    def _prepare_input(self, inputs_info):
+        assert 't' in inputs_info, "Test error: inputs_info must contain `t`"
+        t_shape = inputs_info['t']
+        clip_value_min_shape = inputs_info['clip_value_min']
+        clip_value_max_shape = inputs_info['clip_value_max']
+        inputs_data = {}
+        inputs_data['t'] = np.random.randint(-10, 10, t_shape).astype(np.float32)
+        inputs_data['clip_value_min'] = np.random.randint(-10, 10, clip_value_min_shape).astype(np.float32)
+        inputs_data['clip_value_max'] = np.random.randint(-10, 10, clip_value_max_shape).astype(np.float32)
+        return inputs_data
+
+    def create_clip_by_value_net(self, t_shape):
+        tf.compat.v1.reset_default_graph()
+        # Create the graph and model
+        with tf.compat.v1.Session() as sess:
+            t = tf.compat.v1.placeholder(tf.float32, t_shape, 't')
+            clip_value_min = tf.compat.v1.placeholder(tf.float32, [], 'clip_value_min')
+            clip_value_max = tf.compat.v1.placeholder(tf.float32, [], 'clip_value_max')
+            tf.raw_ops.ClipByValue(t=t, clip_value_min=clip_value_min, clip_value_max=clip_value_max)
+            tf.compat.v1.global_variables_initializer()
+
+            tf_net = sess.graph_def
+
+        return tf_net, None
+
+    test_data_basic = [
+        dict(t_shape=[]),
+        dict(t_shape=[2, 3]),
+        dict(t_shape=[4, 1, 3]),
+    ]
+
+    @pytest.mark.parametrize("params", test_data_basic)
+    @pytest.mark.precommit_tf_fe
+    def test_clip_by_value_basic(self, params, ie_device, precision, ir_version, temp_dir,
+                                 use_new_frontend, use_old_api):
+        self._test(
+            *self.create_clip_by_value_net(**params), ie_device,
+            precision, temp_dir=temp_dir, ir_version=ir_version, use_new_frontend=use_new_frontend,
+            use_old_api=use_old_api, **params)