36 lines
1.4 KiB
Python
36 lines
1.4 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import os
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import pytest
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import tensorflow as tf
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from common.tf_layer_test_class import CommonTFLayerTest
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class TestLRN(CommonTFLayerTest):
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def create_lrn_net(self, input_shape, depth_radius, bias, alpha, beta):
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tf.compat.v1.reset_default_graph()
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# Create the graph and model
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with tf.compat.v1.Session() as sess:
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input = tf.compat.v1.placeholder(tf.float32, input_shape, 'input')
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tf.raw_ops.LRN(input=input, depth_radius=depth_radius, bias=bias, alpha=alpha, beta=beta)
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tf.compat.v1.global_variables_initializer()
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tf_net = sess.graph_def
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return tf_net, None
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test_data_basic = [
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dict(input_shape=[2, 20, 30, 3], depth_radius=3, bias=0.2, alpha=4, beta=0.75),
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dict(input_shape=[1, 10, 30, 2], depth_radius=4, bias=1, alpha=3, beta=0.15),
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]
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@pytest.mark.parametrize("params", test_data_basic)
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#@pytest.mark.precommit_tf_fe - ticket 116032
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@pytest.mark.nightly
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def test_lrn_basic(self, params, ie_device, precision, ir_version, temp_dir,
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use_new_frontend, use_old_api):
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self._test(*self.create_lrn_net(**params),
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ie_device, precision, ir_version, temp_dir=temp_dir,
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use_new_frontend=use_new_frontend, use_old_api=use_old_api)
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