Home
About
Blog
Products
Forum
Support
Contact
Sunbelt Computer Software
PL/B Language Development and Support
Home
About
Blog
Products
Forum
Support
Contact
diffusers/utils/fetch_torch_cuda_pipeline_test_matrix.py at main · Raha-ML/diffusers · GitHub
Skip to content
Navigation Menu
Sign in
Products
Platform
GitHub
Repository hosting, code review, and collaboration
Copilot
AI coding agent for tasks, projects and automated work
Build & Ship
Actions
CI/CD and automation
Code Quality
Quality analysis, fixes, and enforcement
Codespaces
Cloud development environments
Secure
Code Security
Vulnerability detection and remediation
Secret Protection
Secret scanning and leak prevention
All Features
Developers
Learn
Documentation
Training
Certifications
Build
Build with Copilot
Customize Copilot
Integrations
Explore
Trending repos
GitHub Sponsors
Events
Changelog
Changelog
Your source for the latest features, improvements, and fixes across GitHub products, all in one place.
Businesses
By Stage
Enterprises
Team
Startups
Nonprofits
By Industry
Healthcare
Financial services
Manufacturing
Government
See all industries
Evaluate GitHub
Why GitHub
Customer Stories
Business insights
Trust Center
Add-ons
GitHub Advanced Security
Enterprise-grade code security
Copilot for business
Enterprise-grade AI features
Premium Support
Enterprise-grade 24/7 support
Resources
Learn & Connect
Documentation
Resource center
Blog
Events & webinars
Community Forum
Customer Stories
Integrations
Support
Customer support
Training
GitHub Status
Company
About
Partners
Changelog
GitHub Universe
GitHub Universe
The event for developers, by developers — talks, workshops, and what’s next for GitHub.
Pricing
Search
/
Sign in
Sign up
Appearance settings
You signed in with another tab or window.
Reload
to refresh your session.
You signed out in another tab or window.
Reload
to refresh your session.
You switched accounts on another tab or window.
Reload
to refresh your session.
Dismiss alert
{{ message }}
Raha-ML
diffusers
Repository navigation
Code
Pull requests
Actions
Projects
Security and quality
Insights
More
items
Files
Expand file tree
main
Breadcrumbs
diffusers
/
utils
/
fetch_torch_cuda_pipeline_test_matrix.py
Copy path
Blame
More file actions
Blame
More file actions
Latest commit
History
History
History
97 lines (69 loc) · 2.42 KB
main
Breadcrumbs
diffusers
/
utils
/
fetch_torch_cuda_pipeline_test_matrix.py
Copy path
Top
File metadata and controls
Code
Blame
97 lines (69 loc) · 2.42 KB
Raw
Copy raw file
Download raw file
Open symbols panel
Edit and raw actions
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
import
json
import
logging
import
os
from
collections
import
defaultdict
from
pathlib
import
Path
from
huggingface_hub
import
HfApi
import
diffusers
PATH_TO_REPO
=
Path
(
__file__
).
parent
.
parent
.
resolve
()
ALWAYS_TEST_PIPELINE_MODULES
=
[
"controlnet"
,
"stable_diffusion"
,
"stable_diffusion_2"
,
"stable_diffusion_xl"
,
"stable_diffusion_adapter"
,
"ip_adapters"
,
"kandinsky2_2"
,
]
PIPELINE_USAGE_CUTOFF
=
int
(
os
.
getenv
(
"PIPELINE_USAGE_CUTOFF"
,
50000
))
logger
=
logging
.
getLogger
(
__name__
)
api
=
HfApi
()
def
filter_pipelines
(
usage_dict
,
usage_cutoff
=
10000
):
output
=
[]
for
diffusers_object
,
usage
in
usage_dict
.
items
():
if
usage
<
usage_cutoff
:
continue
is_diffusers_pipeline
=
hasattr
(
diffusers
.
pipelines
,
diffusers_object
)
if
not
is_diffusers_pipeline
:
continue
output
.
append
(
diffusers_object
)
return
output
def
fetch_pipeline_objects
():
models
=
api
.
list_models
(
library
=
"diffusers"
)
downloads
=
defaultdict
(
int
)
for
model
in
models
:
is_counted
=
False
for
tag
in
model
.
tags
:
if
tag
.
startswith
(
"diffusers:"
):
is_counted
=
True
downloads
[
tag
[
len
(
"diffusers:"
) :]]
+=
model
.
downloads
if
not
is_counted
:
downloads
[
"other"
]
+=
model
.
downloads
# Remove 0 downloads
downloads
=
{
k
:
v
for
k
,
v
in
downloads
.
items
()
if
v
>
0
}
pipeline_objects
=
filter_pipelines
(
downloads
,
PIPELINE_USAGE_CUTOFF
)
return
pipeline_objects
def
fetch_pipeline_modules_to_test
():
try
:
pipeline_objects
=
fetch_pipeline_objects
()
except
Exception
as
e
:
logger
.
error
(
e
)
raise
RuntimeError
(
"Unable to fetch model list from HuggingFace Hub."
)
test_modules
=
[]
for
pipeline_name
in
pipeline_objects
:
module
=
getattr
(
diffusers
,
pipeline_name
)
test_module
=
module
.
__module__
.
split
(
"."
)[
-
2
].
strip
()
test_modules
.
append
(
test_module
)
return
test_modules
def
main
():
test_modules
=
fetch_pipeline_modules_to_test
()
test_modules
.
extend
(
ALWAYS_TEST_PIPELINE_MODULES
)
# Get unique modules
test_modules
=
sorted
(
set
(
test_modules
))
print
(
json
.
dumps
(
test_modules
))
save_path
=
f"
{
PATH_TO_REPO
}
/reports"
os
.
makedirs
(
save_path
,
exist_ok
=
True
)
with
open
(
f"
{
save_path
}
/test-pipelines.json"
,
"w"
)
as
f
:
json
.
dump
({
"pipeline_test_modules"
:
test_modules
},
f
)
if
__name__
==
"__main__"
:
main
()
You can’t perform that action at this time.