Alexander Shchepetovandalexander.shchepetov
b0c508d4ff
Co-authored-by: alexander.shchepetov <ashchepe@nnlvdp-cflr51.inn.intel.com>
91 lines
3.1 KiB
Python
91 lines
3.1 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 TestSoftplus(CommonTFLayerTest):
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def create_softplus_net(self, shape, ir_version):
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"""
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Tensorflow net IR net
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Input->Softplus => Input->Softplus
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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.reset_default_graph()
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# Create the graph and model
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with tf.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.placeholder(tf.float32, shapes, 'Input')
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tf.math.softplus(input, name='Operation')
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tf.global_variables_initializer()
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tf_net = sess.graph_def
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#
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# Create reference IR net
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# Please, specify 'type': 'Input' for input node
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# Moreover, do not forget to validate ALL layer attributes!!!
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#
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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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'Softplus': {'kind': 'op', 'type': 'SoftPlus'},
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'Softplus_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', 'Softplus'),
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('Softplus', 'Softplus_data'),
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('Softplus_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=[1, 3, 100, 224]),
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marks=pytest.mark.skip(reason="Skipped until fixed")),
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pytest.param(dict(shape=[1, 3, 50, 100, 224]),
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marks=pytest.mark.skip(reason="Skipped until fixed"))
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]
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@pytest.mark.parametrize("params", test_data_precommit)
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@pytest.mark.precommit
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def test_softplus_precommit(self, params, ie_device, precision, ir_version, temp_dir):
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self._test(*self.create_softplus_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=[1, 224]),
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dict(shape=[1, 3, 224]),
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dict(shape=[1, 3, 100, 224]),
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dict(shape=[1, 3, 50, 100, 224])]
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@pytest.mark.parametrize("params", test_data)
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@pytest.mark.nightly
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def test_softplus(self, params, ie_device, precision, ir_version, temp_dir):
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self._test(*self.create_softplus_net(**params, ir_version=ir_version),
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ie_device, precision, ir_version, temp_dir=temp_dir)
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