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
BaiXuePrincess
Paddle
提交
a6854359
P
Paddle
项目概览
BaiXuePrincess
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
1
Star
1
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
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
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
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
提交
Issue看板
未验证
提交
a6854359
编写于
9月 14, 2020
作者:
L
LielinJiang
提交者:
GitHub
9月 14, 2020
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix conv depthwise bug (#27278)
Fix conv deepwise bug when in_channels=1.
上级
bbad3414
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
7 addition
and
5 deletion
+7
-5
python/paddle/nn/functional/conv.py
python/paddle/nn/functional/conv.py
+7
-5
未找到文件。
python/paddle/nn/functional/conv.py
浏览文件 @
a6854359
...
@@ -267,8 +267,8 @@ def conv1d(x,
...
@@ -267,8 +267,8 @@ def conv1d(x,
dilation
=
utils
.
convert_to_list
(
dilation
,
1
,
'dilation'
)
+
[
1
]
dilation
=
utils
.
convert_to_list
(
dilation
,
1
,
'dilation'
)
+
[
1
]
l_type
=
"conv2d"
l_type
=
"conv2d"
if
(
num_channels
==
groups
and
num_
filters
%
num_channels
==
0
and
if
(
num_channels
==
groups
and
num_
channels
!=
1
and
not
use_cudnn
):
n
um_filters
%
num_channels
==
0
and
n
ot
use_cudnn
):
l_type
=
'depthwise_conv2d'
l_type
=
'depthwise_conv2d'
use_cudnn
=
False
use_cudnn
=
False
...
@@ -491,7 +491,8 @@ def conv2d(x,
...
@@ -491,7 +491,8 @@ def conv2d(x,
dilation
=
utils
.
convert_to_list
(
dilation
,
2
,
'dilation'
)
dilation
=
utils
.
convert_to_list
(
dilation
,
2
,
'dilation'
)
l_type
=
"conv2d"
l_type
=
"conv2d"
if
(
num_channels
==
groups
and
num_filters
%
num_channels
==
0
):
if
(
num_channels
==
groups
and
num_channels
!=
1
and
num_filters
%
num_channels
==
0
):
l_type
=
'depthwise_conv2d'
l_type
=
'depthwise_conv2d'
use_cudnn
=
False
use_cudnn
=
False
...
@@ -761,7 +762,8 @@ def conv_transpose1d(x,
...
@@ -761,7 +762,8 @@ def conv_transpose1d(x,
op_type
=
'conv2d_transpose'
op_type
=
'conv2d_transpose'
num_filters
=
weight
.
shape
[
1
]
num_filters
=
weight
.
shape
[
1
]
if
(
num_channels
==
groups
and
num_filters
==
1
and
not
use_cudnn
):
if
(
num_channels
==
groups
and
num_channels
!=
1
and
num_filters
==
1
and
not
use_cudnn
):
op_type
=
'depthwise_conv2d_transpose'
op_type
=
'depthwise_conv2d_transpose'
use_cudnn
=
False
use_cudnn
=
False
...
@@ -1010,7 +1012,7 @@ def conv_transpose2d(x,
...
@@ -1010,7 +1012,7 @@ def conv_transpose2d(x,
op_type
=
'conv2d_transpose'
op_type
=
'conv2d_transpose'
num_filters
=
weight
.
shape
[
1
]
num_filters
=
weight
.
shape
[
1
]
if
(
num_channels
==
groups
and
num_filters
==
1
):
if
(
num_channels
==
groups
and
num_
channels
!=
1
and
num_
filters
==
1
):
op_type
=
'depthwise_conv2d_transpose'
op_type
=
'depthwise_conv2d_transpose'
use_cudnn
=
False
use_cudnn
=
False
...
...
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