[TF FE] Stabilize L2Loss layer tests on all platforms (openvinotoolki…

…t#26151)

**Details:** Stabilize L2Loss layer tests on all platforms

**Ticket:** 104863

---------

Signed-off-by: Kazantsev, Roman <[email protected]>

tests/layer_tests/tensorflow_tests/test_tf_L2Loss.py

@@ -1,38 +1,46 @@
 # Copyright (C) 2018-2024 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
 
+rng = np.random.default_rng(233453)
+
 
 class TestL2Loss(CommonTFLayerTest):
-    def create_l2_loss_net(self, input_shape):
+    def _prepare_input(self, inputs_info):
+        assert 'input:0' in inputs_info, "Test error: inputs_info must contain `input`"
+        input_shape = inputs_info['input:0']
+        inputs_data = {}
+        inputs_data['input:0'] = rng.uniform(-2.0, 2.0, input_shape).astype(self.input_type)
+        return inputs_data
+
+    def create_l2_loss_net(self, input_shape, input_type):
+        self.input_type = input_type
         tf.compat.v1.reset_default_graph()
         # Create the graph and model
         with tf.compat.v1.Session() as sess:
-            input = tf.compat.v1.placeholder(tf.float32, input_shape, 'input')
+            input = tf.compat.v1.placeholder(input_type, input_shape, 'input')
             tf.raw_ops.L2Loss(t=input, name='l2_loss')
             tf.compat.v1.global_variables_initializer()
-
             tf_net = sess.graph_def
 
         return tf_net, None
 
-    test_data_basic = [
-        dict(input_shape=[1, 2]),
-        dict(input_shape=[2, 3, 4]),
-    ]
-
-    @pytest.mark.parametrize("params", test_data_basic)
+    @pytest.mark.parametrize("input_shape", [[], [2], [1, 2], [2, 3, 4]])
+    @pytest.mark.parametrize("input_type", [np.float16, np.float32, np.float64])
     @pytest.mark.precommit
     @pytest.mark.nightly
-    def test_l2_loss_basic(self, params, ie_device, precision, ir_version, temp_dir,
+    def test_l2_loss_basic(self, input_shape, input_type,
+                           ie_device, precision, ir_version, temp_dir,
                            use_legacy_frontend):
-        if ie_device == 'GPU':
-            pytest.xfail('104863')
-        if use_legacy_frontend:
-            pytest.skip("L2Loss is not supported by legacy FE.")
-        self._test(*self.create_l2_loss_net(**params),
+        custom_eps = None
+        if input_type == np.float16:
+            custom_eps = 3 * 1e-3
+        if ie_device == 'GPU' and input_shape == []:
+            pytest.skip("150321: Accessing out-of-range dimension on GPU")
+        self._test(*self.create_l2_loss_net(input_shape, input_type),
                    ie_device, precision, ir_version, temp_dir=temp_dir,
-                   use_legacy_frontend=use_legacy_frontend)
+                   use_legacy_frontend=use_legacy_frontend, custom_eps=custom_eps)