-
Notifications
You must be signed in to change notification settings - Fork 879
/
Copy pathtest_model_archiver.py
183 lines (146 loc) · 6.63 KB
/
test_model_archiver.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
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
import subprocess
import time
import os
import glob
import requests
import json
import test_utils
MODEL_SFILE_NAME = 'resnet18-f37072fd.pth'
def setup_module(module):
test_utils.torchserve_cleanup()
response = requests.get('https://download.pytorch.org/models/' + MODEL_SFILE_NAME, allow_redirects=True)
with open(os.path.join(test_utils.MODEL_STORE, MODEL_SFILE_NAME), 'wb') as f:
f.write(response.content)
def teardown_module(module):
test_utils.torchserve_cleanup()
def create_resnet_archive(model_name="resnset-18", version="1.0", force=False):
cmd = test_utils.model_archiver_command_builder(
model_name,
version,
os.path.join(test_utils.CODEBUILD_WD, "examples", "image_classifier", "resnet_18", "model.py"),
os.path.join(test_utils.MODEL_STORE, "resnet18-f37072fd.pth"),
"image_classifier",
os.path.join(test_utils.CODEBUILD_WD, "examples", "image_classifier", "index_to_name.json"),
force
)
print(cmd)
cmd = cmd.split(" ")
return subprocess.run(cmd).returncode
def clean_mar_file(mar_name):
path = os.path.join(test_utils.MODEL_STORE, mar_name)
if os.path.exists(path):
os.remove(path)
def test_multiple_model_versions_registration():
# Download resnet-18 model
create_resnet_archive("resnet-18", "1.0")
create_resnet_archive("resnet-18_v2", "2.0")
test_utils.start_torchserve(no_config_snapshots=True)
response = requests.get('http://localhost:8081/models/resnet18/all')
print(response.content)
test_utils.register_model("resnet18", "resnet-18.mar")
test_utils.register_model("resnet18", "resnet-18_v2.mar")
response = requests.get('http://localhost:8081/models/resnet18/all')
time.sleep(5)
# Verify that we can use the list models api to get all versions of resnet-18
assert len(json.loads(response.content)) == 2
def test_duplicate_model_registration_using_local_url_followed_by_http_url():
# Registration through local mar url is already complete in previous test case.
# Now try to register same model using http url in this next step
response = test_utils.register_model("resnet18", "https://torchserve.pytorch.org/mar_files/resnet-18.mar")
time.sleep(15)
if json.loads(response.content)['code'] == 500 and \
json.loads(response.content)['type'] == "InternalServerException":
assert True, "Internal Server Exception, " \
"Model file already exists!! Duplicate model registration request"
test_utils.unregister_model("resnet18")
time.sleep(10)
else:
assert False, "Something is not right!! Successfully re-registered existing model "
def test_duplicate_model_registration_using_http_url_followed_by_local_url():
# Register using http url
clean_mar_file("resnet-18.mar")
response = test_utils.register_model("resnet18", "https://torchserve.pytorch.org/mar_files/resnet-18.mar")
create_resnet_archive()
response = test_utils.register_model("resnet18", "resnet-18.mar")
if json.loads(response.content)['code'] == 409 and \
json.loads(response.content)['type'] == "ConflictStatusException":
assert True, "Conflict Status Exception, " \
"Duplicate model registration request"
response = test_utils.unregister_model("resnet18")
time.sleep(10)
else:
assert False, "Something is not right!! Successfully re-registered existing model "
def test_model_archiver_to_regenerate_model_mar_without_force():
clean_mar_file("resnet-18.mar")
response = create_resnet_archive("resnet-18", "1.0")
response = create_resnet_archive("resnet-18", "1.0")
try:
assert (0 != response), "Mar file couldn't be created.use -f option"
finally:
for f in glob.glob("resnet*.mar"):
os.remove(f)
def test_model_archiver_to_regenerate_model_mar_with_force():
clean_mar_file("resnet-18.mar")
response = create_resnet_archive("resnet-18", "1.0")
response = create_resnet_archive("resnet-18", "1.0", force=True)
try:
assert (0 == response), "Successfully created Mar file by using -f option"
finally:
for f in glob.glob("resnet*.mar"):
os.remove(f)
def test_model_archiver_without_handler_flag():
cmd = test_utils.model_archiver_command_builder(
"resnet-18",
"1.0",
os.path.join(test_utils.CODEBUILD_WD, "examples", "image_classifier", "resnet_18", "model.py"),
os.path.join(test_utils.MODEL_STORE, "resnet18-f37072fd.pth"),
None,
os.path.join(test_utils.CODEBUILD_WD, "examples", "image_classifier", "index_to_name.json")
)
cmd = cmd.split(" ")
try:
assert (0 != subprocess.run(cmd).returncode), "Mar file couldn't be created." \
"No handler specified"
finally:
for f in glob.glob("resnet*.mar"):
os.remove(f)
def test_model_archiver_without_model_name_flag():
cmd = test_utils.model_archiver_command_builder(
None,
"1.0",
os.path.join(test_utils.CODEBUILD_WD, "examples", "image_classifier", "resnet_18", "model.py"),
os.path.join(test_utils.MODEL_STORE, "resnet18-f37072fd.pth"),
"image_classifier",
os.path.join(test_utils.CODEBUILD_WD, "examples", "image_classifier", "index_to_name.json")
)
cmd = cmd.split(" ")
assert (0 != subprocess.run(cmd).returncode), "Mar file couldn't be created." \
"No model_name specified"
def test_model_archiver_without_model_file_flag():
cmd = test_utils.model_archiver_command_builder(
"resnet-18",
"1.0",
None,
os.path.join(test_utils.MODEL_STORE, "resnet18-f37072fd.pth"),
"image_classifier",
os.path.join(test_utils.CODEBUILD_WD, "examples", "image_classifier", "index_to_name.json"),
True
)
cmd = cmd.split(" ")
try:
assert (0 == subprocess.run(cmd).returncode)
finally:
for f in glob.glob("resnet*.mar"):
os.remove(f)
def test_model_archiver_without_serialized_flag():
cmd = test_utils.model_archiver_command_builder(
"resnet-18",
"1.0",
os.path.join(test_utils.CODEBUILD_WD, "examples", "image_classifier", "resnet_18", "model.py"),
None,
"image_classifier",
os.path.join(test_utils.CODEBUILD_WD, "examples", "image_classifier", "index_to_name.json")
)
cmd = cmd.split(" ")
assert (0 != subprocess.run(cmd).returncode), "Mar file couldn't be created." \
"No serialized flag specified"