forked from openvinotoolkit/openvino
-
Notifications
You must be signed in to change notification settings - Fork 0
/
test_tf_Squeeze.py
132 lines (107 loc) · 5.35 KB
/
test_tf_Squeeze.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
# Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import pytest
from common.tf_layer_test_class import CommonTFLayerTest
from common.utils.tf_utils import permute_nchw_to_nhwc
class TestSqueeze(CommonTFLayerTest):
def create_squeeze_net(self, shape, axis, ir_version, use_new_frontend):
"""
Tensorflow net IR net
Input->Squeeze => Input->[Permute]->Reshape
"""
import tensorflow as tf
tf.compat.v1.reset_default_graph()
# Create the graph and model
with tf.compat.v1.Session() as sess:
tf_x_shape = shape.copy()
tf_x_shape = permute_nchw_to_nhwc(tf_x_shape, use_new_frontend)
x = tf.compat.v1.placeholder(tf.float32, tf_x_shape, 'Input')
squeeze = tf.squeeze(x, axis=axis, name="Operation")
tf.compat.v1.global_variables_initializer()
tf_net = sess.graph_def
#
# Create reference IR net
# Please, specify 'type': 'Input' for input node
# Moreover, do not forget to validate ALL layer attributes!!!
#
ref_net = None
return tf_net, ref_net
test_data_1D = [
pytest.param(dict(shape=[1], axis=[])),
pytest.param(dict(shape=[1], axis=[0])),
pytest.param(dict(shape=[1], axis=[-1]))
]
@pytest.mark.parametrize("params", test_data_1D)
@pytest.mark.nightly
def test_squeeze_1D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
use_old_api):
self._test(*self.create_squeeze_net(**params, ir_version=ir_version,
use_new_frontend=use_new_frontend),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
test_data_2D = [
dict(shape=[1, 1], axis=[]),
dict(shape=[1, 1], axis=[0]),
pytest.param(dict(shape=[1, 1], axis=[-1]), marks=pytest.mark.precommit_tf_fe)
]
@pytest.mark.parametrize("params", test_data_2D)
@pytest.mark.nightly
def test_squeeze_2D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
use_old_api):
self._test(*self.create_squeeze_net(**params, ir_version=ir_version,
use_new_frontend=use_new_frontend),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
test_data_3D = [
dict(shape=[1, 1, 3], axis=[]),
dict(shape=[1, 1, 3], axis=[0]),
dict(shape=[1, 1, 3], axis=[-1])
]
# TODO mark as precommit (after successfully passing in nightly)
@pytest.mark.parametrize("params", test_data_3D)
@pytest.mark.nightly
def test_squeeze_3D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
use_old_api):
self._test(*self.create_squeeze_net(**params, ir_version=ir_version,
use_new_frontend=use_new_frontend),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
test_data_4D = [
dict(shape=[1, 1, 50, 100], axis=[]),
dict(shape=[1, 1, 50, 100], axis=[0]),
dict(shape=[1, 1, 50, 100], axis=[-1]),
dict(shape=[1, 100, 50, 1], axis=[0, 2])
]
# TODO mark as precommit (after successfully passing in nightly)
@pytest.mark.parametrize("params", test_data_4D)
@pytest.mark.nightly
def test_squeeze_4D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
use_old_api):
self._test(*self.create_squeeze_net(**params, ir_version=ir_version,
use_new_frontend=use_new_frontend),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_new_frontend=use_new_frontend, use_old_api=use_old_api)
test_data_5D = [
dict(shape=[1, 1, 50, 100, 224], axis=[]),
dict(shape=[1, 1, 50, 100, 224], axis=[0]),
dict(shape=[1, 1, 50, 100, 224], axis=[-1]),
dict(shape=[1, 224, 1, 100, 1], axis=[0, 3]),
dict(shape=[1, 224, 1, 100, 1], axis=[0, 1, 3]),
dict(shape=[1, 224, 1, 1, 100], axis=[0, 1, 2]),
dict(shape=[1, 224, 1, 1, 1], axis=[0, 1, 2, 3])
]
# TODO mark as precommit (after successfully passing in nightly)
@pytest.mark.special_xfail(
args={'ie_device': 'GPU', 'precision': 'FP16', 'params': {'axis': [0, 3]}},
reason="*-19394")
@pytest.mark.special_xfail(
args={'ie_device': 'GPU', 'precision': 'FP16', 'params': {'axis': [0, 1, 3]}},
reason="*-19394")
@pytest.mark.parametrize("params", test_data_5D)
@pytest.mark.nightly
def test_squeeze_5D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend,
use_old_api):
self._test(*self.create_squeeze_net(**params, ir_version=ir_version,
use_new_frontend=use_new_frontend),
ie_device, precision, ir_version, temp_dir=temp_dir,
use_new_frontend=use_new_frontend, use_old_api=use_old_api)