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c622d7ce
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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
提交
c622d7ce
编写于
7月 21, 2020
作者:
F
Flowingsun007
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
remove param --use_boxing_v2 for all cnns
上级
05681a0b
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
0 addition
and
27 deletion
+0
-27
Classification/cnns/README.md
Classification/cnns/README.md
+0
-2
Classification/cnns/job_function_util.py
Classification/cnns/job_function_util.py
+0
-2
ClickThroughRate/WideDeepLearning/wdl_train_eval.py
ClickThroughRate/WideDeepLearning/wdl_train_eval.py
+0
-1
ClickThroughRate/WideDeepLearning/wdl_train_eval_test.py
ClickThroughRate/WideDeepLearning/wdl_train_eval_test.py
+0
-1
LanguageModeling/BERT/run_pretraining.py
LanguageModeling/BERT/run_pretraining.py
+0
-7
LanguageModeling/BERT/run_squad.py
LanguageModeling/BERT/run_squad.py
+0
-7
LanguageModeling/BERT/run_squad_predict.py
LanguageModeling/BERT/run_squad_predict.py
+0
-7
未找到文件。
Classification/cnns/README.md
浏览文件 @
c622d7ce
...
...
@@ -601,7 +601,6 @@ python3 cnn_benchmark/of_cnn_train_val.py \
--val_batch_size_per_device=512 \
--num_epoch=90 \
--use_fp16=false \
--use_boxing_v2=false \
--model="alexnet" \
```
...
...
@@ -630,7 +629,6 @@ python3 cnn_benchmark/of_cnn_train_val.py \
--val_batch_size_per_device=128 \
--num_epoch=90 \
--use_fp16=false \
--use_boxing_v2=false \
--model="vgg" \
```
...
...
Classification/cnns/job_function_util.py
浏览文件 @
c622d7ce
...
...
@@ -22,8 +22,6 @@ def get_train_config(args):
train_config
.
all_reduce_group_min_mbyte
(
8
)
train_config
.
all_reduce_group_num
(
128
)
if
args
.
use_boxing_v2
:
train_config
.
use_boxing_v2
(
True
)
train_config
.
prune_parallel_cast_ops
(
True
)
train_config
.
train
.
model_update_conf
(
gen_model_update_conf
(
args
))
...
...
ClickThroughRate/WideDeepLearning/wdl_train_eval.py
浏览文件 @
c622d7ce
...
...
@@ -111,7 +111,6 @@ def _get_train_conf():
'lazy_adam_conf'
:
{
}
})
train_conf
.
use_boxing_v2
(
True
)
train_conf
.
default_distribute_strategy
(
flow
.
distribute
.
consistent_strategy
())
train_conf
.
indexed_slices_optimizer_conf
(
dict
(
include_op_names
=
dict
(
op_name
=
[
'wide_embedding'
,
'deep_embedding'
])))
return
train_conf
...
...
ClickThroughRate/WideDeepLearning/wdl_train_eval_test.py
浏览文件 @
c622d7ce
...
...
@@ -118,7 +118,6 @@ def _get_train_conf():
'lazy_adam_conf'
:
{
}
})
train_conf
.
use_boxing_v2
(
True
)
train_conf
.
default_distribute_strategy
(
flow
.
distribute
.
consistent_strategy
())
train_conf
.
indexed_slices_optimizer_conf
(
dict
(
include_op_names
=
dict
(
op_name
=
[
'wide_embedding'
,
'deep_embedding'
])))
return
train_conf
...
...
LanguageModeling/BERT/run_pretraining.py
浏览文件 @
c622d7ce
...
...
@@ -37,8 +37,6 @@ parser.add_argument("--log_every_n_iter", type=int, default=1, help="print loss
parser
.
add_argument
(
"--data_dir"
,
type
=
str
,
default
=
None
)
parser
.
add_argument
(
"--data_part_num"
,
type
=
int
,
default
=
32
,
help
=
"data part number in dataset"
)
parser
.
add_argument
(
'--use_fp16'
,
type
=
str2bool
,
nargs
=
'?'
,
const
=
True
,
help
=
'use use fp16 or not'
)
parser
.
add_argument
(
'--use_boxing_v2'
,
type
=
str2bool
,
nargs
=
'?'
,
const
=
True
,
help
=
'use boxing v2 or not'
)
# log and resore/save
parser
.
add_argument
(
"--loss_print_every_n_iter"
,
type
=
int
,
default
=
10
,
required
=
False
,
...
...
@@ -164,8 +162,6 @@ config.train.model_update_conf(_BERT_MODEL_UPDATE_CONF)
if
args
.
use_fp16
:
config
.
enable_auto_mixed_precision
(
True
)
if
args
.
use_boxing_v2
:
config
.
use_boxing_v2
(
True
)
@
flow
.
global_function
(
config
)
...
...
@@ -206,9 +202,6 @@ def main():
flow
.
config
.
gpu_device_num
(
args
.
gpu_num_per_node
)
flow
.
env
.
log_dir
(
args
.
log_dir
)
if
args
.
use_boxing_v2
:
flow
.
config
.
collective_boxing
.
nccl_fusion_threshold_mb
(
8
)
flow
.
config
.
collective_boxing
.
nccl_fusion_all_reduce_use_buffer
(
False
)
if
args
.
node_num
>
1
:
...
...
LanguageModeling/BERT/run_squad.py
浏览文件 @
c622d7ce
...
...
@@ -37,8 +37,6 @@ parser.add_argument("--log_every_n_iter", type=int, default=1, help="print loss
parser
.
add_argument
(
"--data_dir"
,
type
=
str
,
default
=
None
)
parser
.
add_argument
(
"--data_part_num"
,
type
=
int
,
default
=
32
,
help
=
"data part number in dataset"
)
parser
.
add_argument
(
'--use_fp16'
,
type
=
str2bool
,
nargs
=
'?'
,
const
=
True
,
help
=
'use use fp16 or not'
)
parser
.
add_argument
(
'--use_boxing_v2'
,
type
=
str2bool
,
nargs
=
'?'
,
const
=
True
,
help
=
'use boxing v2 or not'
)
# log and resore/save
parser
.
add_argument
(
"--loss_print_every_n_iter"
,
type
=
int
,
default
=
10
,
required
=
False
,
...
...
@@ -160,8 +158,6 @@ config.train.model_update_conf(_BERT_MODEL_UPDATE_CONF)
if
args
.
use_fp16
:
config
.
enable_auto_mixed_precision
(
True
)
if
args
.
use_boxing_v2
:
config
.
use_boxing_v2
(
True
)
@
flow
.
global_function
(
config
)
...
...
@@ -202,9 +198,6 @@ def main():
flow
.
config
.
gpu_device_num
(
args
.
gpu_num_per_node
)
flow
.
env
.
log_dir
(
args
.
log_dir
)
if
args
.
use_boxing_v2
:
flow
.
config
.
collective_boxing
.
nccl_fusion_threshold_mb
(
8
)
flow
.
config
.
collective_boxing
.
nccl_fusion_all_reduce_use_buffer
(
False
)
if
args
.
node_num
>
1
:
...
...
LanguageModeling/BERT/run_squad_predict.py
浏览文件 @
c622d7ce
...
...
@@ -38,8 +38,6 @@ parser.add_argument("--log_every_n_iter", type=int, default=1, help="print loss
parser
.
add_argument
(
"--data_dir"
,
type
=
str
,
default
=
None
)
parser
.
add_argument
(
"--data_part_num"
,
type
=
int
,
default
=
32
,
help
=
"data part number in dataset"
)
parser
.
add_argument
(
'--use_fp16'
,
type
=
str2bool
,
nargs
=
'?'
,
const
=
True
,
help
=
'use use fp16 or not'
)
parser
.
add_argument
(
'--use_boxing_v2'
,
type
=
str2bool
,
nargs
=
'?'
,
const
=
True
,
help
=
'use boxing v2 or not'
)
# log and resore/save
parser
.
add_argument
(
"--loss_print_every_n_iter"
,
type
=
int
,
default
=
10
,
required
=
False
,
...
...
@@ -156,8 +154,6 @@ config.default_distribute_strategy(flow.distribute.consistent_strategy())
if
args
.
use_fp16
:
config
.
enable_auto_mixed_precision
(
True
)
if
args
.
use_boxing_v2
:
config
.
use_boxing_v2
(
True
)
@
flow
.
global_function
(
config
)
...
...
@@ -198,9 +194,6 @@ def main():
flow
.
config
.
gpu_device_num
(
args
.
gpu_num_per_node
)
flow
.
env
.
log_dir
(
args
.
log_dir
)
if
args
.
use_boxing_v2
:
flow
.
config
.
collective_boxing
.
nccl_fusion_threshold_mb
(
8
)
flow
.
config
.
collective_boxing
.
nccl_fusion_all_reduce_use_buffer
(
False
)
if
args
.
node_num
>
1
:
...
...
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