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50bf55fd
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50bf55fd
编写于
11月 09, 2021
作者:
S
stephon
浏览文件
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差异文件
update test_train_inference_python.sh
上级
707d0769
变更
1
隐藏空白更改
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Showing
1 changed file
with
5 addition
and
4 deletion
+5
-4
test_tipc/test_train_inference_python.sh
test_tipc/test_train_inference_python.sh
+5
-4
未找到文件。
test_tipc/test_train_inference_python.sh
浏览文件 @
50bf55fd
...
@@ -244,7 +244,7 @@ else
...
@@ -244,7 +244,7 @@ else
export
Count
=
0
export
Count
=
0
USE_GPU_KEY
=(
${
train_use_gpu_value
}
)
USE_GPU_KEY
=(
${
train_use_gpu_value
}
)
for
gpu
in
${
gpu_list
[*]
}
;
do
for
gpu
in
${
gpu_list
[*]
}
;
do
use_gpu
=
${
USE_GPU_KEY
[Count]
}
train_
use_gpu
=
${
USE_GPU_KEY
[Count]
}
Count
=
$((
$Count
+
1
))
Count
=
$((
$Count
+
1
))
ips
=
""
ips
=
""
if
[
${
gpu
}
=
"-1"
]
;
then
if
[
${
gpu
}
=
"-1"
]
;
then
...
@@ -302,9 +302,10 @@ else
...
@@ -302,9 +302,10 @@ else
set_pretrain
=
$(
func_set_params
"
${
pretrain_model_key
}
"
"
${
pretrain_model_value
}
"
)
set_pretrain
=
$(
func_set_params
"
${
pretrain_model_key
}
"
"
${
pretrain_model_value
}
"
)
set_batchsize
=
$(
func_set_params
"
${
train_batch_key
}
"
"
${
train_batch_value
}
"
)
set_batchsize
=
$(
func_set_params
"
${
train_batch_key
}
"
"
${
train_batch_value
}
"
)
set_train_params1
=
$(
func_set_params
"
${
train_param_key1
}
"
"
${
train_param_value1
}
"
)
set_train_params1
=
$(
func_set_params
"
${
train_param_key1
}
"
"
${
train_param_value1
}
"
)
set_use_gpu
=
$(
func_set_params
"
${
train_use_gpu_key
}
"
"
${
use_gpu
}
"
)
set_use_gpu
=
$(
func_set_params
"
${
train_use_gpu_key
}
"
"
${
train_
use_gpu
}
"
)
if
[
${#
ips
}
-le
26
]
;
then
if
[
${#
ips
}
-le
26
]
;
then
save_log
=
"
${
LOG_PATH
}
/
${
trainer
}
_gpus_
${
gpu
}
_autocast_
${
autocast
}
"
save_log
=
"
${
LOG_PATH
}
/
${
trainer
}
_gpus_
${
gpu
}
_autocast_
${
autocast
}
"
nodes
=
1
else
else
IFS
=
","
IFS
=
","
ips_array
=(
${
ips
}
)
ips_array
=(
${
ips
}
)
...
@@ -314,7 +315,7 @@ else
...
@@ -314,7 +315,7 @@ else
fi
fi
# load pretrain from norm training if current trainer is pact or fpgm trainer
# load pretrain from norm training if current trainer is pact or fpgm trainer
if
[
${
trainer
}
=
${
pact_key
}
]
||
[
${
trainer
}
=
${
fpgm_key
}
]
;
then
if
([
${
trainer
}
=
${
pact_key
}
]
||
[
${
trainer
}
=
${
fpgm_key
}
])
&&
[
${
nodes
}
-le
1
]
;
then
set_pretrain
=
"
${
load_norm_train_model
}
"
set_pretrain
=
"
${
load_norm_train_model
}
"
fi
fi
...
@@ -333,7 +334,7 @@ else
...
@@ -333,7 +334,7 @@ else
set_eval_pretrain
=
$(
func_set_params
"
${
pretrain_model_key
}
"
"
${
save_log
}
/
${
train_model_name
}
"
)
set_eval_pretrain
=
$(
func_set_params
"
${
pretrain_model_key
}
"
"
${
save_log
}
/
${
train_model_name
}
"
)
# save norm trained models to set pretrain for pact training and fpgm training
# save norm trained models to set pretrain for pact training and fpgm training
if
[
${
trainer
}
=
${
trainer_norm
}
]
;
then
if
[
${
trainer
}
=
${
trainer_norm
}
]
&&
[
${
nodes
}
-le
1]
;
then
load_norm_train_model
=
${
set_eval_pretrain
}
load_norm_train_model
=
${
set_eval_pretrain
}
fi
fi
# run eval
# run eval
...
...
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