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test_tf_NormalizeL2.py
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# Copyright (C) 2018-2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import platform
import pytest
from common.tf_layer_test_class import CommonTFLayerTest
class TestNormalizeL2(CommonTFLayerTest):
@staticmethod
def create_normalize_l2_net(shape, axes):
import tensorflow as tf
tf.compat.v1.reset_default_graph()
with tf.compat.v1.Session() as sess:
data = tf.compat.v1.placeholder(tf.float32, shape=shape, name='data')
tf.math.l2_normalize(data,
axes,
name='Operation')
tf.compat.v1.global_variables_initializer()
tf_net = sess.graph_def
return tf_net, None
test_data_basic = [
dict(shape=[2, 3], axes=[1]),
dict(shape=[2, 3, 5], axes=[1, -1]),
]
@pytest.mark.parametrize("params", test_data_basic)
@pytest.mark.precommit
@pytest.mark.precommit
@pytest.mark.nightly
@pytest.mark.xfail(condition=platform.system() in ('Linux', 'Darwin') and platform.machine() in ('arm', 'armv7l',
'aarch64',
'arm64', 'ARM64'),
reason='Ticket - 126314, 122716')
def test_normalize_l2_basic(self, params, ie_device, precision, ir_version, temp_dir,
use_legacy_frontend):
self._test(*self.create_normalize_l2_net(**params),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_legacy_frontend=use_legacy_frontend)
test_data_complex = [
dict(shape=[2, 3, 5, 4], axes=[1, 2, 3]),
dict(shape=[2, 3, 5, 4, 2], axes=[-1]),
]
@pytest.mark.parametrize("params", test_data_complex)
@pytest.mark.nightly
def test_normalize_l2_complex(self, params, ie_device, precision, ir_version, temp_dir,
use_legacy_frontend):
self._test(*self.create_normalize_l2_net(**params),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_legacy_frontend=use_legacy_frontend)