117 lines
5.0 KiB
Python
117 lines
5.0 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import numpy as np
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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 TestSqueeze(CommonTFLayerTest):
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def _prepare_input(self, inputs_info):
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assert 'input' in inputs_info
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input_shape = inputs_info['input']
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inputs_data = {}
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inputs_data['input'] = np.random.randint(-50, 50, input_shape).astype(self.input_type)
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return inputs_data
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def create_squeeze_net(self, input_shape, axis, input_type=np.float32):
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self.input_type = input_type
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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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input = tf.compat.v1.placeholder(input_type, input_shape, 'input')
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tf.raw_ops.Squeeze(input=input, axis=axis)
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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=[1], axis=[0], input_type=np.float32),
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dict(input_shape=[3, 1], axis=[], input_type=np.int32),
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dict(input_shape=[2, 3, 1], axis=[-1], input_type=np.float32),
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dict(input_shape=[1, 10, 1, 5], axis=[0, 2], input_type=np.float32),
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dict(input_shape=[1, 22, 1, 1, 10], axis=[0, 2, -2], input_type=np.int32),
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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_squeeze_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_squeeze_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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test_data_1D = [
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dict(input_shape=[1], axis=[], input_type=np.float32),
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dict(input_shape=[1], axis=[-1], input_type=np.float32)
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]
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@pytest.mark.parametrize("params", test_data_1D)
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@pytest.mark.nightly
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def test_squeeze_1D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
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use_old_api):
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self._test(*self.create_squeeze_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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test_data_2D = [
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dict(input_shape=[1, 2], axis=[0], input_type=np.float32),
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dict(input_shape=[4, 1], axis=[-1], input_type=np.int32)
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]
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@pytest.mark.parametrize("params", test_data_2D)
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@pytest.mark.nightly
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def test_squeeze_2D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
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use_old_api):
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self._test(*self.create_squeeze_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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test_data_3D = [
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dict(input_shape=[2, 1, 3], axis=[], input_type=np.float32),
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dict(input_shape=[1, 2, 3], axis=[0], input_type=np.int32),
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]
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@pytest.mark.parametrize("params", test_data_3D)
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@pytest.mark.nightly
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def test_squeeze_3D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
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use_old_api):
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self._test(*self.create_squeeze_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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test_data_4D = [
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dict(input_shape=[1, 1, 5, 10], axis=[], input_type=np.int32),
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dict(input_shape=[1, 1, 5, 10], axis=[0], input_type=np.float32),
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dict(input_shape=[3, 1, 5, 1], axis=[-1], input_type=np.int32),
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]
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@pytest.mark.parametrize("params", test_data_4D)
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@pytest.mark.nightly
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def test_squeeze_4D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
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use_old_api):
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self._test(*self.create_squeeze_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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test_data_5D = [
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dict(input_shape=[1, 1, 5, 10, 22], axis=[], input_type=np.float32),
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dict(input_shape=[1, 1, 5, 10, 22], axis=[0], input_type=np.int32),
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dict(input_shape=[22, 1, 5, 10, 1], axis=[-1], input_type=np.float32),
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dict(input_shape=[1, 22, 1, 1, 10], axis=[0, 3], input_type=np.int32),
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dict(input_shape=[1, 1, 10, 1, 1], axis=[0, 1, 3], input_type=np.float32),
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dict(input_shape=[1, 1, 1, 1, 22], axis=[0, 1, 2, 3], input_type=np.float32)
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]
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@pytest.mark.parametrize("params", test_data_5D)
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@pytest.mark.nightly
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def test_squeeze_5D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
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use_old_api):
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self._test(*self.create_squeeze_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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