Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
Oneflow-Inc
OneFlow-Benchmark
提交
2a1981cf
O
OneFlow-Benchmark
项目概览
Oneflow-Inc
/
OneFlow-Benchmark
上一次同步 接近 3 年
通知
1
Star
92
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
列表
看板
标记
里程碑
合并请求
0
DevOps
流水线
流水线任务
计划
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
O
OneFlow-Benchmark
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
0
Issue
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
DevOps
DevOps
流水线
流水线任务
计划
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
流水线任务
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
提交
2a1981cf
编写于
3月 21, 2020
作者:
S
ShawnXuan
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
support image target resize
上级
95108e0e
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
8 addition
and
5 deletion
+8
-5
cnn_e2e/of_cnn_train_val.py
cnn_e2e/of_cnn_train_val.py
+1
-0
cnn_e2e/ofrecord_util.py
cnn_e2e/ofrecord_util.py
+5
-3
cnn_e2e/resnet_model.py
cnn_e2e/resnet_model.py
+2
-2
未找到文件。
cnn_e2e/of_cnn_train_val.py
浏览文件 @
2a1981cf
...
@@ -97,6 +97,7 @@ def main():
...
@@ -97,6 +97,7 @@ def main():
save_summary_steps
=
num_val_steps
,
batch_size
=
val_batch_size
)
save_summary_steps
=
num_val_steps
,
batch_size
=
val_batch_size
)
for
i
in
range
(
num_val_steps
):
for
i
in
range
(
num_val_steps
):
InferenceNet
().
async_get
(
metric
.
metric_cb
(
epoch
,
i
))
InferenceNet
().
async_get
(
metric
.
metric_cb
(
epoch
,
i
))
snapshot
.
save
(
'epoch_{}'
.
format
(
epoch
))
if
__name__
==
"__main__"
:
if
__name__
==
"__main__"
:
...
...
cnn_e2e/ofrecord_util.py
浏览文件 @
2a1981cf
...
@@ -46,7 +46,7 @@ def load_imagenet_for_training(args):
...
@@ -46,7 +46,7 @@ def load_imagenet_for_training(args):
flow
.
data
.
ImageResizePreprocessor
(
args
.
image_size
,
args
.
image_size
),
flow
.
data
.
ImageResizePreprocessor
(
args
.
image_size
,
args
.
image_size
),
flow
.
data
.
ImagePreprocessor
(
'mirror'
),
flow
.
data
.
ImagePreprocessor
(
'mirror'
),
])
])
return
load_imagenet
(
args
,
train_batch_size
,
args
.
train_data_dir
,
args
.
train_data_part_num
,
return
load_imagenet
(
args
,
train_batch_size
,
args
.
train_data_dir
,
args
.
train_data_part_num
,
codec
)
codec
)
...
@@ -55,7 +55,9 @@ def load_imagenet_for_validation(args):
...
@@ -55,7 +55,9 @@ def load_imagenet_for_validation(args):
val_batch_size
=
total_device_num
*
args
.
val_batch_size_per_device
val_batch_size
=
total_device_num
*
args
.
val_batch_size_per_device
codec
=
flow
.
data
.
ImageCodec
(
codec
=
flow
.
data
.
ImageCodec
(
[
[
flow
.
data
.
ImageResizePreprocessor
(
args
.
image_size
,
args
.
image_size
),
flow
.
data
.
ImageTargetResizePreprocessor
(
resize_shorter
=
256
),
flow
.
data
.
ImageCenterCropPreprocessor
(
args
.
image_size
,
args
.
image_size
),
#flow.data.ImageResizePreprocessor(args.image_size, args.image_size),
]
]
)
)
return
load_imagenet
(
args
,
val_batch_size
,
args
.
val_data_dir
,
args
.
val_data_part_num
,
codec
)
return
load_imagenet
(
args
,
val_batch_size
,
args
.
val_data_dir
,
args
.
val_data_part_num
,
codec
)
...
@@ -75,4 +77,4 @@ def load_synthetic(args):
...
@@ -75,4 +77,4 @@ def load_synthetic(args):
shape
=
(
args
.
image_size
,
args
.
image_size
,
3
),
dtype
=
flow
.
float
,
batch_size
=
batch_size
shape
=
(
args
.
image_size
,
args
.
image_size
,
3
),
dtype
=
flow
.
float
,
batch_size
=
batch_size
)
)
return
label
,
image
return
label
,
image
\ No newline at end of file
cnn_e2e/resnet_model.py
浏览文件 @
2a1981cf
...
@@ -22,7 +22,7 @@ def _conv2d(
...
@@ -22,7 +22,7 @@ def _conv2d(
trainable
=
True
,
trainable
=
True
,
weight_initializer
=
flow
.
variance_scaling_initializer
(
data_format
=
"NCHW"
),
weight_initializer
=
flow
.
variance_scaling_initializer
(
data_format
=
"NCHW"
),
#weight_initializer=flow.variance_scaling_initializer(3, 'fan_in', 'random_normal', data_format="NCHW"),
#weight_initializer=flow.variance_scaling_initializer(3, 'fan_in', 'random_normal', data_format="NCHW"),
weight_regularizer
=
flow
.
regularizers
.
l2
(
1
e-4
),
weight_regularizer
=
flow
.
regularizers
.
l2
(
1
.0
/
32768
),
):
):
weight
=
flow
.
get_variable
(
weight
=
flow
.
get_variable
(
name
+
"-weight"
,
name
+
"-weight"
,
...
@@ -143,7 +143,7 @@ def resnet50(images, trainable=True):
...
@@ -143,7 +143,7 @@ def resnet50(images, trainable=True):
#kernel_initializer=flow.variance_scaling_initializer(3, 'fan_in', 'random_normal'),
#kernel_initializer=flow.variance_scaling_initializer(3, 'fan_in', 'random_normal'),
kernel_initializer
=
flow
.
xavier_uniform_initializer
(),
kernel_initializer
=
flow
.
xavier_uniform_initializer
(),
bias_initializer
=
flow
.
zeros_initializer
(),
bias_initializer
=
flow
.
zeros_initializer
(),
kernel_regularizer
=
flow
.
regularizers
.
l2
(
1
e-4
),
kernel_regularizer
=
flow
.
regularizers
.
l2
(
1
.0
/
32768
),
trainable
=
trainable
,
trainable
=
trainable
,
name
=
"fc1001"
,
name
=
"fc1001"
,
)
)
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录