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OpenDAS
OpenFold
Commits
39d0ef43
"unicore/git@developer.sourcefind.cn:OpenDAS/Uni-Core.git" did not exist on "3f498d32ceacc0b10d5869c121829eb0996289f3"
Unverified
Commit
39d0ef43
authored
Aug 09, 2023
by
Gustaf Ahdritz
Committed by
GitHub
Aug 09, 2023
Browse files
Make seeding more consistent
parent
410e1829
Changes
1
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1 changed file
with
4 additions
and
4 deletions
+4
-4
openfold/data/data_transforms.py
openfold/data/data_transforms.py
+4
-4
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openfold/data/data_transforms.py
View file @
39d0ef43
...
@@ -16,6 +16,7 @@
...
@@ -16,6 +16,7 @@
import
itertools
import
itertools
from
functools
import
reduce
,
wraps
from
functools
import
reduce
,
wraps
from
operator
import
add
from
operator
import
add
import
random
import
numpy
as
np
import
numpy
as
np
import
torch
import
torch
...
@@ -183,12 +184,11 @@ def randomly_replace_msa_with_unknown(protein, replace_proportion):
...
@@ -183,12 +184,11 @@ def randomly_replace_msa_with_unknown(protein, replace_proportion):
@
curry1
@
curry1
def
sample_msa
(
protein
,
max_seq
,
keep_extra
,
seed
=
None
):
def
sample_msa
(
protein
,
max_seq
,
keep_extra
,
seed
=
None
):
"""Sample MSA randomly, remaining sequences are stored are stored as `extra_*`."""
"""Sample MSA randomly, remaining sequences are stored are stored as `extra_*`."""
if
(
seed
is
None
):
seed
=
random
.
randint
(
0
,
2147483647
)
num_seq
=
protein
[
"msa"
].
shape
[
0
]
num_seq
=
protein
[
"msa"
].
shape
[
0
]
g
=
torch
.
Generator
(
device
=
protein
[
"msa"
].
device
)
g
=
torch
.
Generator
(
device
=
protein
[
"msa"
].
device
)
if
seed
is
not
None
:
g
.
manual_seed
(
seed
)
g
.
manual_seed
(
seed
)
else
:
g
.
seed
()
shuffled
=
torch
.
randperm
(
num_seq
-
1
,
generator
=
g
)
+
1
shuffled
=
torch
.
randperm
(
num_seq
-
1
,
generator
=
g
)
+
1
index_order
=
torch
.
cat
(
index_order
=
torch
.
cat
(
(
torch
.
tensor
([
0
],
device
=
shuffled
.
device
),
shuffled
),
(
torch
.
tensor
([
0
],
device
=
shuffled
.
device
),
shuffled
),
...
...
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