forked from pytorch/serve
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathmarsgen.py
206 lines (169 loc) · 6.67 KB
/
marsgen.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
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
import argparse
import json
import os
import shutil
import subprocess
import sys
import urllib.request
REPO_ROOT = os.path.join(os.path.dirname(os.path.abspath(__file__)), "..")
sys.path.append(REPO_ROOT)
MODEL_STORE_DIR = os.path.join(REPO_ROOT, "model_store_gen")
os.makedirs(MODEL_STORE_DIR, exist_ok=True)
MAR_CONFIG_FILE_PATH = os.path.join(REPO_ROOT, "ts_scripts", "mar_config.json")
def delete_model_store_gen_dir():
print(f"## Deleting model_store_gen_dir: {MODEL_STORE_DIR}\n")
mar_set.clear()
if os.path.exists(MODEL_STORE_DIR):
try:
shutil.rmtree(MODEL_STORE_DIR)
except OSError as e:
print("Error: %s : %s" % (MODEL_STORE_DIR, e.strerror))
mar_set = set()
def gen_mar(model_store=None):
print(f"## Starting gen_mar: {model_store}\n")
if len(mar_set) == 0:
generate_mars(mar_config=MAR_CONFIG_FILE_PATH, model_store_dir=MODEL_STORE_DIR)
if model_store is not None and os.path.exists(model_store):
print("## Create symlink for mar files\n")
for mar_file in mar_set:
src = f"{MODEL_STORE_DIR}/{mar_file}"
dst = f"{model_store}/{mar_file}"
if os.path.exists(dst):
print(f"## {dst} already exists.\n")
else:
os.symlink(src, dst)
print(f"## Symlink {src}, {dst} successfully.")
def generate_mars(mar_config=MAR_CONFIG_FILE_PATH, model_store_dir=MODEL_STORE_DIR):
"""
By default generate_mars reads ts_scripts/mar_config.json and outputs mar files in dir model_store_gen
- mar_config.json defines a list of models' mar file parameters. They are:
- "model_name": model name
- "version": model version
- "model_file": the path of file model.py
- "serialized_file_remote": the url of file .pth or .pt
- "serialized_file_local": the path of file .pth or .pt
- "gen_scripted_file_path": the python script path of building .pt file
- "handler": handler can be either default handler or handler path
- "extra_files": the paths of extra files
Note: To generate .pt file, "serialized_file_remote" and "gen_scripted_file_path" must be provided
"""
print(
f"## Starting generate_mars, mar_config:{mar_config}, model_store_dir:{model_store_dir}\n"
)
mar_set.clear()
cwd = os.getcwd()
os.chdir(REPO_ROOT)
with open(mar_config) as f:
models = json.loads(f.read())
for model in models:
serialized_file_path = None
if model.get("serialized_file_remote") and model["serialized_file_remote"]:
if (
model.get("gen_scripted_file_path")
and model["gen_scripted_file_path"]
):
subprocess.run(["python", model["gen_scripted_file_path"]])
else:
serialized_model_file_url = (
"https://download.pytorch.org/models/{}".format(
model["serialized_file_remote"]
)
)
urllib.request.urlretrieve(
serialized_model_file_url,
f'{model_store_dir}/{model["serialized_file_remote"]}',
)
serialized_file_path = os.path.join(
model_store_dir, model["serialized_file_remote"]
)
elif model.get("serialized_file_local") and model["serialized_file_local"]:
serialized_file_path = model["serialized_file_local"]
handler = model.get("handler", None)
extra_files = model.get("extra_files", None)
runtime = model.get("runtime", None)
archive_format = model.get("archive_format", "zip-store")
requirements_file = model.get("requirements_file", None)
export_path = model.get("export_path", model_store_dir)
cmd = model_archiver_command_builder(
model["model_name"],
model["version"],
model.get("model_file", None),
serialized_file_path,
handler,
extra_files,
runtime,
archive_format,
requirements_file,
export_path,
)
print(f"## In directory: {os.getcwd()} | Executing command: {cmd}\n")
try:
subprocess.check_call(cmd, shell=True)
marfile = "{}.mar".format(model["model_name"])
print("## {} is generated.\n".format(marfile))
mar_set.add(marfile)
except subprocess.CalledProcessError as exc:
print(
"## {} creation failed !, error: {}\n".format(
model["model_name"], exc
)
)
if (
model.get("serialized_file_remote")
and model["serialized_file_remote"]
and os.path.exists(serialized_file_path)
):
os.remove(serialized_file_path)
os.chdir(cwd)
def model_archiver_command_builder(
model_name=None,
version=None,
model_file=None,
serialized_file=None,
handler=None,
extra_files=None,
runtime=None,
archive_format=None,
requirements_file=None,
export_path=None,
force=True,
):
cmd = "torch-model-archiver"
if model_name:
cmd += " --model-name {0}".format(model_name)
if version:
cmd += " --version {0}".format(version)
if model_file:
cmd += " --model-file {0}".format(model_file)
if serialized_file:
cmd += " --serialized-file {0}".format(serialized_file)
if handler:
cmd += " --handler {0}".format(handler)
if extra_files:
cmd += " --extra-files {0}".format(extra_files)
if runtime:
cmd += " --runtime {0}".format(runtime)
if archive_format:
cmd += " --archive-format {0}".format(archive_format)
if requirements_file:
cmd += " --requirements-file {0}".format(requirements_file)
if export_path:
cmd += " --export-path {0}".format(export_path)
if force:
cmd += " --force"
return cmd
if __name__ == "__main__":
# cmd:
# python ts_scripts/marsgen.py
# python ts_scripts/marsgen.py --config my_mar_config.json
parser = argparse.ArgumentParser(description="Generate model mar files")
parser.add_argument(
"--config",
default=MAR_CONFIG_FILE_PATH,
help="mar file configuration json file",
)
parser.add_argument(
"--model-store", default=MODEL_STORE_DIR, help="model store dir"
)
args = parser.parse_args()
generate_mars(args.config, MODEL_STORE_DIR)