Roman Kazantsev
ab2038041d
It needs to be tested on GPU Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>
33 lines
1.2 KiB
Python
33 lines
1.2 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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from common.tf_layer_test_class import CommonTFLayerTest
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class TestReverse(CommonTFLayerTest):
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def create_reverse_net(self, shape, dims):
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import tensorflow as tf
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tf.compat.v1.reset_default_graph()
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with tf.compat.v1.Session() as sess:
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x = tf.compat.v1.placeholder(tf.float32, shape, 'Input')
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tf.raw_ops.Reverse(tensor=x, dims=dims, name='reverse')
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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(shape=[4], dims=[True]),
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dict(shape=[3, 2], dims=[False, True]),
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dict(shape=[4, 2, 3], dims=[False, True, False]),
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dict(shape=[1, 2, 4, 3], dims=[True, False, False, False]),
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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_reverse_basic(self, params, ie_device, precision, ir_version, temp_dir, use_old_api):
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self._test(*self.create_reverse_net(**params),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_old_api=use_old_api)
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