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Annotated Deep Learning Paper Implementations
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a5686f47
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Annotated Deep Learning Paper Implementations
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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
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a5686f47
编写于
9月 13, 2022
作者:
V
Varuna Jayasiri
提交者:
GitHub
9月 13, 2022
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电子邮件补丁
差异文件
Fix data path
上级
7d1550dd
变更
1
隐藏空白更改
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并排
Showing
1 changed file
with
17 addition
and
7 deletion
+17
-7
labml_nn/neox/checkpoint.py
labml_nn/neox/checkpoint.py
+17
-7
未找到文件。
labml_nn/neox/checkpoint.py
浏览文件 @
a5686f47
...
...
@@ -8,7 +8,8 @@ summary: >
# GPT-NeoX Checkpoints
"""
from
typing
import
Dict
,
Union
,
Tuple
from
pathlib
import
Path
from
typing
import
Dict
,
Union
,
Tuple
,
Optional
import
torch
from
torch
import
nn
...
...
@@ -19,12 +20,21 @@ from labml.utils.download import download_file
# Parent url
CHECKPOINTS_URL
=
'https://mystic.the-eye.eu/public/AI/models/GPT-NeoX-20B/slim_weights/'
_CHECKPOINTS_DOWNLOAD_PATH
:
Optional
[
Path
]
=
None
# Download path
def
get_checkpoints_download_path
():
global
_CHECKPOINTS_DOWNLOAD_PATH
if
_CHECKPOINTS_DOWNLOAD_PATH
is
not
None
:
return
_CHECKPOINTS_DOWNLOAD_PATH
CHECKPOINTS_DOWNLOAD_PATH
=
lab
.
get_data_path
()
/
'neox_fast'
/
'slim_weights'
if
not
CHECKPOINTS_DOWNLOAD_PATH
.
exists
():
CHECKPOINTS_DOWNLOAD_PATH
=
lab
.
get_data_path
()
/
'neox'
/
'slim_weights'
inspect
(
neox_checkpoint_path
=
CHECKPOINTS_DOWNLOAD_PATH
)
_
CHECKPOINTS_DOWNLOAD_PATH
=
lab
.
get_data_path
()
/
'neox_fast'
/
'slim_weights'
if
not
_
CHECKPOINTS_DOWNLOAD_PATH
.
exists
():
_
CHECKPOINTS_DOWNLOAD_PATH
=
lab
.
get_data_path
()
/
'neox'
/
'slim_weights'
inspect
(
neox_checkpoint_path
=
_
CHECKPOINTS_DOWNLOAD_PATH
)
def
get_files_to_download
(
n_layers
:
int
=
44
):
...
...
@@ -65,7 +75,7 @@ def download(n_layers: int = 44):
# Log
logger
.
log
([
'Downloading '
,
(
f
'
{
i
+
1
:
3
d
}
/
{
len
(
files
)
}
'
,
Text
.
meta
),
': '
,
(
f
,
Text
.
value
)])
# Download
download_file
(
CHECKPOINTS_URL
+
f
,
CHECKPOINTS_DOWNLOAD_PATH
/
f
)
download_file
(
CHECKPOINTS_URL
+
f
,
get_checkpoints_download_path
()
/
f
)
def
load_checkpoint_files
(
files
:
Tuple
[
str
,
str
]):
...
...
@@ -75,7 +85,7 @@ def load_checkpoint_files(files: Tuple[str, str]):
:param files: pair of files to load
:return: the loaded parameter tensors
"""
checkpoint_path
=
CHECKPOINTS_DOWNLOAD_PATH
/
'global_step150000'
checkpoint_path
=
get_checkpoints_download_path
()
/
'global_step150000'
with
monit
.
section
(
'Load checkpoint'
):
data
=
[
torch
.
load
(
checkpoint_path
/
f
)
for
f
in
files
]
...
...
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