d9dbf23ea3
* [TF FE] Refactor LeakyRelu and add layer tests Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com> * Support LeakyRELU for TensorFlow Lite --------- Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
39 lines
1.4 KiB
Python
39 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 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 TestLeakyRelu(CommonTFLayerTest):
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def create_leaky_relu_net(self, x_shape, alpha_value):
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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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x = tf.compat.v1.placeholder(tf.float32, x_shape, 'x')
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if alpha_value is None:
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tf.raw_ops.LeakyRelu(features=x)
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else:
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tf.raw_ops.LeakyRelu(features=x, alpha=alpha_value)
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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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pytest.param(dict(x_shape=[], alpha_value=0.3), marks=pytest.mark.xfail(reason="98673")),
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dict(x_shape=[2, 3], alpha_value=None),
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dict(x_shape=[3, 4, 2], alpha_value=3),
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]
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@pytest.mark.parametrize("params", test_data_basic)
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@pytest.mark.precommit_tf_fe
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@pytest.mark.nightly
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def test_leaky_relu_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_leaky_relu_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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