forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
generate_config_yml.py
executable file
·153 lines (121 loc) · 4.89 KB
/
generate_config_yml.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
#!/usr/bin/env python3
"""
This script is the source of truth for config.yml.
Please see README.md in this directory for details.
"""
import os
import shutil
import sys
from collections import namedtuple
import cimodel.data.binary_build_definitions as binary_build_definitions
import cimodel.data.caffe2_build_definitions as caffe2_build_definitions
import cimodel.data.pytorch_build_definitions as pytorch_build_definitions
import cimodel.data.simple.android_definitions
import cimodel.data.simple.bazel_definitions
import cimodel.data.simple.binary_smoketest
import cimodel.data.simple.docker_definitions
import cimodel.data.simple.ge_config_tests
import cimodel.data.simple.ios_definitions
import cimodel.data.simple.macos_definitions
import cimodel.data.simple.mobile_definitions
import cimodel.data.simple.nightly_android
import cimodel.data.simple.nightly_ios
import cimodel.data.windows_build_definitions as windows_build_definitions
import cimodel.lib.miniutils as miniutils
import cimodel.lib.miniyaml as miniyaml
class File(object):
"""
Verbatim copy the contents of a file into config.yml
"""
def __init__(self, filename):
self.filename = filename
def write(self, output_filehandle):
with open(os.path.join("verbatim-sources", self.filename)) as fh:
shutil.copyfileobj(fh, output_filehandle)
class FunctionGen(namedtuple("FunctionGen", "function depth")):
__slots__ = ()
class Treegen(FunctionGen):
"""
Insert the content of a YAML tree into config.yml
"""
def write(self, output_filehandle):
miniyaml.render(output_filehandle, self.function(), self.depth)
class Listgen(FunctionGen):
"""
Insert the content of a YAML list into config.yml
"""
def write(self, output_filehandle):
miniyaml.render(output_filehandle, self.function(), self.depth)
def horizontal_rule():
return "".join("#" * 78)
class Header(object):
def __init__(self, title, summary=None):
self.title = title
self.summary_lines = summary or []
def write(self, output_filehandle):
text_lines = [self.title] + self.summary_lines
comment_lines = ["# " + x for x in text_lines]
lines = miniutils.sandwich([horizontal_rule()], comment_lines)
for line in filter(None, lines):
output_filehandle.write(line + "\n")
def gen_build_workflows_tree():
build_workflows_functions = [
cimodel.data.simple.docker_definitions.get_workflow_jobs,
pytorch_build_definitions.get_workflow_jobs,
cimodel.data.simple.macos_definitions.get_workflow_jobs,
cimodel.data.simple.android_definitions.get_workflow_jobs,
cimodel.data.simple.ios_definitions.get_workflow_jobs,
cimodel.data.simple.mobile_definitions.get_workflow_jobs,
cimodel.data.simple.ge_config_tests.get_workflow_jobs,
cimodel.data.simple.bazel_definitions.get_workflow_jobs,
caffe2_build_definitions.get_workflow_jobs,
cimodel.data.simple.binary_smoketest.get_workflow_jobs,
cimodel.data.simple.nightly_ios.get_workflow_jobs,
cimodel.data.simple.nightly_android.get_workflow_jobs,
windows_build_definitions.get_windows_workflows,
binary_build_definitions.get_post_upload_jobs,
binary_build_definitions.get_binary_smoke_test_jobs,
]
binary_build_functions = [
binary_build_definitions.get_binary_build_jobs,
binary_build_definitions.get_nightly_tests,
binary_build_definitions.get_nightly_uploads,
]
return {
"workflows": {
"binary_builds": {
"when": r"<< pipeline.parameters.run_binary_tests >>",
"jobs": [f() for f in binary_build_functions],
},
"build": {"jobs": [f() for f in build_workflows_functions]},
}
}
# Order of this list matters to the generated config.yml.
YAML_SOURCES = [
File("header-section.yml"),
File("commands.yml"),
File("nightly-binary-build-defaults.yml"),
Header("Build parameters"),
File("build-parameters/pytorch-build-params.yml"),
File("build-parameters/caffe2-build-params.yml"),
File("build-parameters/binary-build-params.yml"),
File("build-parameters/promote-build-params.yml"),
Header("Job specs"),
File("job-specs/pytorch-job-specs.yml"),
File("job-specs/caffe2-job-specs.yml"),
File("job-specs/binary-job-specs.yml"),
File("job-specs/job-specs-custom.yml"),
File("job-specs/job-specs-promote.yml"),
File("job-specs/binary_update_htmls.yml"),
File("job-specs/binary-build-tests.yml"),
File("job-specs/docker_jobs.yml"),
Header("Workflows"),
Treegen(gen_build_workflows_tree, 0),
File("workflows/workflows-ecr-gc.yml"),
File("workflows/workflows-promote.yml"),
]
def stitch_sources(output_filehandle):
for f in YAML_SOURCES:
f.write(output_filehandle)
if __name__ == "__main__":
stitch_sources(sys.stdout)