Co-authored-by: alexander.shchepetov <ashchepe@nnlvdp-cflr51.inn.intel.com>
80 lines
2.7 KiB
Python
80 lines
2.7 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import pytest
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from common.layer_test_class import check_ir_version
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from common.tf_layer_test_class import CommonTFLayerTest
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from unit_tests.utils.graph import build_graph
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class TestLog(CommonTFLayerTest):
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def create_log_net(self, shape, ir_version):
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"""
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Tensorflow net IR net
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Input->Log => Input->Log
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"""
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#
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# Create Tensorflow model
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#
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import tensorflow as tf
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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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shapes = shape.copy()
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# reshaping
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if len(shapes) >= 3:
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shapes.append(shapes.pop(1))
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input = tf.compat.v1.placeholder(tf.float32, shapes, 'Input')
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tf.math.log(input, name='Operation')
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tf.compat.v1.global_variables_initializer()
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tf_net = sess.graph_def
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ref_net = None
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if check_ir_version(10, None, ir_version):
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nodes_attributes = {
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'input': {'kind': 'op', 'type': 'Parameter'},
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'input_data': {'shape': shape, 'kind': 'data'},
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'log': {'kind': 'op', 'type': 'Log'},
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'log_data': {'shape': shape, 'kind': 'data'},
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'result': {'kind': 'op', 'type': 'Result'}
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}
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ref_net = build_graph(nodes_attributes,
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[('input', 'input_data'),
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('input_data', 'log'),
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('log', 'log_data'),
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('log_data', 'result')
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])
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return tf_net, ref_net
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test_data_precommit = [
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pytest.param(dict(shape=[3, 2, 3, 7, 6]), marks=pytest.mark.skip(reason="Skipped until fixed"))]
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@pytest.mark.parametrize("params", test_data_precommit)
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@pytest.mark.precommit
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def test_log_precommit(self, params, ie_device, precision, ir_version, temp_dir):
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self._test(*self.create_log_net(**params, ir_version=ir_version),
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ie_device, precision, ir_version, temp_dir=temp_dir)
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test_data = [dict(shape=[1]),
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dict(shape=[2, 5]),
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dict(shape=[5, 3, 7, 4]),
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dict(shape=[3, 2, 3, 7, 6])]
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@pytest.mark.parametrize("params", test_data)
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@pytest.mark.nightly
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def test_log(self, params, ie_device, precision, ir_version, temp_dir):
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self._test(*self.create_log_net(**params, ir_version=ir_version),
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ie_device, precision, ir_version, temp_dir=temp_dir)
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