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test_tf_AdjustContrastv2.py
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# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import platform
import numpy as np
import pytest
import tensorflow as tf
from common.tf_layer_test_class import CommonTFLayerTest
class TestAdjustContrastv2(CommonTFLayerTest):
def _prepare_input(self, inputs_info):
assert 'images' in inputs_info
images_shape = inputs_info['images']
inputs_data = {}
inputs_data['images'] = np.random.rand(*images_shape).astype(self.input_type)
inputs_data['contrast_factor'] = np.random.rand()
return inputs_data
def create_adjust_contrast_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:
images = tf.compat.v1.placeholder(input_type, input_shape, 'images')
contrast_factor = tf.compat.v1.placeholder(input_type, [], 'contrast_factor')
tf.raw_ops.AdjustContrastv2(images=images, contrast_factor=contrast_factor)
tf.compat.v1.global_variables_initializer()
tf_net = sess.graph_def
return tf_net, None
test_data_basic = [
dict(input_shape=[10, 20, 3], input_type=np.float32),
dict(input_shape=[5, 25, 15, 2], input_type=np.float32),
dict(input_shape=[3, 4, 8, 10, 4], input_type=np.float32),
]
@pytest.mark.parametrize("params", test_data_basic)
@pytest.mark.precommit_tf_fe
@pytest.mark.nightly
@pytest.mark.xfail(condition=platform.system() == 'Darwin' and platform.machine() == 'arm64',
reason='Ticket - 122716')
def test_adjust_contrast_basic(self, params, ie_device, precision, ir_version, temp_dir,
use_new_frontend, use_old_api):
self._test(*self.create_adjust_contrast_net(**params),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_new_frontend=use_new_frontend, use_old_api=use_old_api)