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OpenDAS
dgl
Commits
ed15b471
Unverified
Commit
ed15b471
authored
Apr 08, 2022
by
Mufei Li
Committed by
GitHub
Apr 08, 2022
Browse files
Update (#3916)
parent
dc5035b1
Changes
4
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Showing
4 changed files
with
17 additions
and
17 deletions
+17
-17
dglgo/README.md
dglgo/README.md
+4
-4
dglgo/dglgo/pipeline/linkpred/linkpred.jinja-py
dglgo/dglgo/pipeline/linkpred/linkpred.jinja-py
+4
-4
dglgo/dglgo/pipeline/nodepred/nodepred.jinja-py
dglgo/dglgo/pipeline/nodepred/nodepred.jinja-py
+3
-3
dglgo/dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py
dglgo/dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py
+6
-6
No files found.
dglgo/README.md
View file @
ed15b471
...
...
@@ -319,7 +319,7 @@ def main():
**
pipeline_cfg
[
"optimizer"
])
# train
test_acc
=
train
(
cfg
,
pipeline_cfg
,
device
,
data
,
model
,
optimizer
,
loss
)
torch
.
save
(
model
,
pipeline_cfg
[
"save_path"
])
torch
.
save
(
model
.
state_dict
()
,
pipeline_cfg
[
"save_path"
])
return
test_acc
...
...
...
dglgo/dglgo/pipeline/linkpred/linkpred.jinja-py
View file @
ed15b471
...
...
@@ -112,7 +112,7 @@ def main():
loss
=
torch
.
nn
.{{
loss
}}()
optimizer
=
torch
.
optim
.
Adam
(
params
,
**
pipeline_cfg
[
"optimizer"
])
test_hits
=
train
(
cfg
,
pipeline_cfg
,
device
,
dataset
,
model
,
optimizer
,
loss
)
torch
.
save
(
model
,
pipeline_cfg
[
"save_path"
])
torch
.
save
(
model
.
state_dict
()
,
pipeline_cfg
[
"save_path"
])
return
test_hits
if
__name__
==
'__main__'
:
...
...
dglgo/dglgo/pipeline/nodepred/nodepred.jinja-py
View file @
ed15b471
...
...
@@ -112,7 +112,7 @@ def main():
optimizer
=
torch
.
optim
.{{
user_cfg
.
general_pipeline
.
optimizer
.
name
}}(
model
.
parameters
(),
**
pipeline_cfg
[
"optimizer"
])
#
train
test_acc
=
train
(
cfg
,
pipeline_cfg
,
device
,
data
,
model
,
optimizer
,
loss
)
torch
.
save
(
model
,
pipeline_cfg
[
"save_path"
])
torch
.
save
(
model
.
state_dict
()
,
pipeline_cfg
[
"save_path"
])
return
test_acc
if
__name__
==
'__main__'
:
...
...
dglgo/dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py
View file @
ed15b471
...
...
@@ -158,7 +158,7 @@ def main():
loss
=
torch
.
nn
.{{
user_cfg
.
general_pipeline
.
loss
}}()
optimizer
=
torch
.
optim
.{{
user_cfg
.
general_pipeline
.
optimizer
.
name
}}(
model
.
parameters
(),
**
pipeline_cfg
[
"optimizer"
])
test_acc
=
train
(
cfg
,
pipeline_cfg
,
device
,
data
,
model
,
optimizer
,
loss
)
torch
.
save
(
model
,
pipeline_cfg
[
"save_path"
])
torch
.
save
(
model
.
state_dict
()
,
pipeline_cfg
[
"save_path"
])
return
test_acc
if
__name__
==
'__main__'
:
...
...
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