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878d2e91
编写于
12月 28, 2017
作者:
Y
Yang Yu
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Fix compile
上级
003917d8
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
123 addition
and
95 deletion
+123
-95
paddle/framework/CMakeLists.txt
paddle/framework/CMakeLists.txt
+5
-1
paddle/framework/tensor_util.cc
paddle/framework/tensor_util.cc
+115
-0
paddle/framework/tensor_util.cu
paddle/framework/tensor_util.cu
+1
-0
paddle/framework/tensor_util.h
paddle/framework/tensor_util.h
+2
-94
未找到文件。
paddle/framework/CMakeLists.txt
浏览文件 @
878d2e91
...
...
@@ -5,7 +5,11 @@ cc_library(ddim SRCS ddim.cc DEPS eigen3)
cc_test
(
ddim_test SRCS ddim_test.cc DEPS ddim
)
nv_test
(
dim_test SRCS dim_test.cu DEPS ddim
)
cc_library
(
tensor SRCS tensor.cc DEPS ddim place paddle_memory device_context
)
if
(
WITH_GPU
)
nv_binary
(
tensor SRCS tensor.cc tensor_util.cu DEPS ddim place paddle_memory device_context
)
else
()
cc_library
(
tensor SRCS tensor.cc tensor_util.cc DEPS ddim place paddle_memory device_context
)
endif
()
cc_test
(
tensor_test SRCS tensor_test.cc DEPS tensor
)
cc_test
(
tensor_util_test SRCS tensor_util_test.cc DEPS tensor
)
...
...
paddle/framework/tensor_util.cc
0 → 100644
浏览文件 @
878d2e91
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/framework/tensor_util.h"
namespace
paddle
{
namespace
framework
{
template
<
typename
Predicate
,
typename
DevCtx
>
struct
AnyDTypeVisitor
{
Predicate
predicate_
;
const
Tensor
&
tensor_
;
const
DevCtx
&
ctx_
;
Tensor
*
out_
;
AnyDTypeVisitor
(
Predicate
predicate
,
const
Tensor
&
tensor
,
const
DevCtx
&
ctx
,
Tensor
*
out
)
:
predicate_
(
predicate
),
tensor_
(
tensor
),
ctx_
(
ctx
),
out_
(
out
)
{}
template
<
typename
T
>
void
operator
()()
const
{
auto
t
=
EigenVector
<
T
>::
Flatten
(
tensor_
);
auto
o
=
EigenScalar
<
bool
>::
From
(
*
out_
);
o
.
device
(
*
ctx_
.
eigen_device
())
=
predicate_
(
t
).
any
();
}
};
template
<
typename
Predicate
,
typename
DevCtx
>
inline
void
AnyImpl
(
Predicate
predicate
,
const
framework
::
Tensor
&
tensor
,
const
DevCtx
&
ctx
,
framework
::
Tensor
*
out
)
{
VisitDataType
(
ToDataType
(
tensor
.
type
()),
AnyDTypeVisitor
<
Predicate
,
DevCtx
>
(
predicate
,
tensor
,
ctx
,
out
));
}
template
<
typename
Predicate
>
struct
AnyVisitor
:
public
boost
::
static_visitor
<
bool
>
{
const
framework
::
Tensor
&
tensor_
;
Predicate
predicate_
;
AnyVisitor
(
const
framework
::
Tensor
&
tensor
,
Predicate
predicate
)
:
tensor_
(
tensor
),
predicate_
(
std
::
move
(
predicate
))
{}
template
<
typename
Place
>
bool
operator
()(
const
Place
&
place
)
const
{
framework
::
Tensor
out
;
out
.
Resize
({
1
});
out
.
mutable_data
<
bool
>
(
place
);
auto
*
ctx
=
platform
::
DeviceContextPool
::
Instance
().
GetByPlace
(
place
);
AnyImpl
(
predicate_
,
tensor_
,
*
ctx
,
&
out
);
return
this
->
GetResult
(
out
,
place
);
}
bool
GetResult
(
const
framework
::
Tensor
&
out
,
const
platform
::
CUDAPlace
&
gpu
)
const
{
platform
::
CPUPlace
cpu
;
framework
::
Tensor
tmp
;
tmp
.
Resize
({
1
});
tmp
.
mutable_data
<
bool
>
(
cpu
);
platform
::
DeviceContextPool
::
Instance
().
Get
(
gpu
)
->
Wait
();
CopyFrom
(
out
,
cpu
,
&
tmp
);
platform
::
DeviceContextPool
::
Instance
().
Get
(
gpu
)
->
Wait
();
return
GetResult
(
tmp
,
cpu
);
}
bool
GetResult
(
const
framework
::
Tensor
&
out
,
const
platform
::
CPUPlace
&
cpu
)
const
{
return
*
out
.
data
<
bool
>
();
}
};
template
<
typename
Predicate
>
inline
bool
Any
(
const
framework
::
Tensor
&
tensor
,
Predicate
predicate
)
{
AnyVisitor
<
Predicate
>
visitor
(
tensor
,
predicate
);
auto
place
=
tensor
.
place
();
return
platform
::
VisitPlace
(
place
,
visitor
);
}
struct
HasNANPredicate
{
template
<
typename
T
>
auto
operator
()(
const
T
&
eigen_vec
)
const
->
decltype
(
std
::
declval
<
T
>
().
isnan
())
{
return
eigen_vec
.
isnan
();
}
};
bool
HasNAN
(
const
framework
::
Tensor
&
tensor
)
{
HasNANPredicate
predicate
;
return
Any
(
tensor
,
predicate
);
}
struct
HasInfPredicate
{
template
<
typename
T
>
auto
operator
()(
const
T
&
eigen_vec
)
const
->
decltype
(
std
::
declval
<
T
>
().
isinf
())
{
return
eigen_vec
.
isinf
();
}
};
bool
HasInf
(
const
framework
::
Tensor
&
tensor
)
{
HasInfPredicate
predicate
;
return
Any
(
tensor
,
predicate
);
}
}
// namespace framework
}
// namespace paddle
paddle/framework/tensor_util.cu
0 → 120000
浏览文件 @
878d2e91
.
/
tensor_util
.
cc
\ No newline at end of file
paddle/framework/tensor_util.h
浏览文件 @
878d2e91
...
...
@@ -208,100 +208,8 @@ inline void CopyToVector(const Tensor& src, std::vector<T>* dst) {
src_ptr
,
size
);
}
template
<
typename
Predicate
,
typename
DevCtx
>
struct
AnyDTypeVisitor
{
Predicate
predicate_
;
const
Tensor
&
tensor_
;
const
DevCtx
&
ctx_
;
Tensor
*
out_
;
AnyDTypeVisitor
(
Predicate
predicate
,
const
Tensor
&
tensor
,
const
DevCtx
&
ctx
,
Tensor
*
out
)
:
predicate_
(
predicate
),
tensor_
(
tensor
),
ctx_
(
ctx
),
out_
(
out
)
{}
template
<
typename
T
>
void
operator
()()
const
{
auto
t
=
EigenVector
<
T
>::
Flatten
(
tensor_
);
auto
o
=
EigenScalar
<
bool
>::
From
(
*
out_
);
o
.
device
(
*
ctx_
.
eigen_device
())
=
predicate_
(
t
).
any
();
}
};
template
<
typename
Predicate
,
typename
DevCtx
>
inline
void
AnyImpl
(
Predicate
predicate
,
const
framework
::
Tensor
&
tensor
,
const
DevCtx
&
ctx
,
framework
::
Tensor
*
out
)
{
VisitDataType
(
ToDataType
(
tensor
.
type
()),
AnyDTypeVisitor
<
Predicate
,
DevCtx
>
(
predicate
,
tensor
,
ctx
,
out
));
}
template
<
typename
Predicate
>
struct
AnyVisitor
:
public
boost
::
static_visitor
<
bool
>
{
const
framework
::
Tensor
&
tensor_
;
Predicate
predicate_
;
AnyVisitor
(
const
framework
::
Tensor
&
tensor
,
Predicate
predicate
)
:
tensor_
(
tensor
),
predicate_
(
std
::
move
(
predicate
))
{}
template
<
typename
Place
>
bool
operator
()(
const
Place
&
place
)
const
{
framework
::
Tensor
out
;
out
.
Resize
({
1
});
out
.
mutable_data
<
bool
>
(
place
);
auto
*
ctx
=
platform
::
DeviceContextPool
::
Instance
().
GetByPlace
(
place
);
AnyImpl
(
predicate_
,
tensor_
,
*
ctx
,
&
out
);
return
this
->
GetResult
(
out
,
place
);
}
bool
GetResult
(
const
framework
::
Tensor
&
out
,
const
platform
::
CUDAPlace
&
gpu
)
const
{
platform
::
CPUPlace
cpu
;
framework
::
Tensor
tmp
;
tmp
.
Resize
({
1
});
tmp
.
mutable_data
<
bool
>
(
cpu
);
platform
::
DeviceContextPool
::
Instance
().
Get
(
gpu
)
->
Wait
();
CopyFrom
(
out
,
cpu
,
&
tmp
);
platform
::
DeviceContextPool
::
Instance
().
Get
(
gpu
)
->
Wait
();
return
GetResult
(
tmp
,
cpu
);
}
bool
GetResult
(
const
framework
::
Tensor
&
out
,
const
platform
::
CPUPlace
&
cpu
)
const
{
return
*
out
.
data
<
bool
>
();
}
};
template
<
typename
Predicate
>
inline
bool
Any
(
const
framework
::
Tensor
&
tensor
,
Predicate
predicate
)
{
AnyVisitor
<
Predicate
>
visitor
(
tensor
,
predicate
);
auto
place
=
tensor
.
place
();
return
platform
::
VisitPlace
(
place
,
visitor
);
}
struct
HasNANPredicate
{
template
<
typename
T
>
auto
operator
()(
const
T
&
eigen_vec
)
const
->
decltype
(
std
::
declval
<
T
>
().
isnan
())
{
return
eigen_vec
.
isnan
();
}
};
inline
bool
HasNAN
(
const
framework
::
Tensor
&
tensor
)
{
HasNANPredicate
predicate
;
return
Any
(
tensor
,
predicate
);
}
struct
HasInfPredicate
{
template
<
typename
T
>
auto
operator
()(
const
T
&
eigen_vec
)
const
->
decltype
(
std
::
declval
<
T
>
().
isinf
())
{
return
eigen_vec
.
isinf
();
}
};
inline
bool
HasInf
(
const
framework
::
Tensor
&
tensor
)
{
HasInfPredicate
predicate
;
return
Any
(
tensor
,
predicate
);
}
extern
bool
HasNAN
(
const
framework
::
Tensor
&
tensor
);
extern
bool
HasInf
(
const
framework
::
Tensor
&
tensor
);
}
// namespace framework
}
// namespace paddle
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