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72fb86a2
编写于
8月 07, 2017
作者:
D
dongzhihong
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
"remove type alias done."
上级
9e25988f
变更
9
隐藏空白更改
内联
并排
Showing
9 changed file
with
266 addition
and
41 deletion
+266
-41
paddle/framework/backward.cc
paddle/framework/backward.cc
+1
-0
paddle/framework/backward_test.cc
paddle/framework/backward_test.cc
+10
-4
paddle/framework/pybind.cc
paddle/framework/pybind.cc
+18
-17
paddle/operators/add_op_test.cc
paddle/operators/add_op_test.cc
+2
-1
paddle/operators/fill_zeros_like_op.cc
paddle/operators/fill_zeros_like_op.cc
+3
-5
paddle/operators/fill_zeros_like_op.cu
paddle/operators/fill_zeros_like_op.cu
+2
-2
paddle/operators/fill_zeros_like_op.h
paddle/operators/fill_zeros_like_op.h
+1
-2
paddle/operators/net_op_test.cc
paddle/operators/net_op_test.cc
+9
-10
paddle/pybind/pybind.cc
paddle/pybind/pybind.cc
+220
-0
未找到文件。
paddle/framework/backward.cc
浏览文件 @
72fb86a2
...
...
@@ -13,6 +13,7 @@
limitations under the License. */
#include "paddle/framework/backward.h"
#include <list>
#include "paddle/framework/op_registry.h"
#include "paddle/operators/net_op.h"
...
...
paddle/framework/backward_test.cc
浏览文件 @
72fb86a2
...
...
@@ -17,16 +17,21 @@
#include <gtest/gtest.h>
#include "paddle/framework/op_registry.h"
#include "paddle/operators/net_op.h"
#include "paddle/operators/type_alias.h"
namespace
paddle
{
namespace
framework
{
using
OperatorBase
=
framework
::
OperatorBase
;
using
OpProtoAndCheckerMaker
=
framework
::
OpProtoAndCheckerMaker
;
using
OpProto
=
framework
::
OpProto
;
using
OpAttrChecker
=
framework
::
OpAttrChecker
;
using
Scope
=
framework
::
Scope
;
using
DeviceContext
=
platform
::
DeviceContext
;
class
EmptyOp
:
public
OperatorBase
{
public:
void
InferShape
(
const
Scope
&
scope
)
const
override
{}
void
Run
(
const
Scope
&
scope
,
const
platform
::
DeviceContext
&
dev_ctx
)
const
override
{}
void
Run
(
const
Scope
&
scope
,
const
DeviceContext
&
dev_ctx
)
const
override
{}
};
class
RowWiseAddOpMaker
:
public
OpProtoAndCheckerMaker
{
...
...
@@ -71,7 +76,7 @@ class NoGradOpMaker : public OpProtoAndCheckerMaker {
}
};
class
FcOp
:
public
ops
::
NetOp
{
class
FcOp
:
public
op
erator
s
::
NetOp
{
public:
void
Init
()
override
{
AddOp
(
OpRegistry
::
CreateOp
(
"mul"
,
{
Input
(
"X"
),
Input
(
"W"
)},
...
...
@@ -143,6 +148,7 @@ class AddOpMaker : public OpProtoAndCheckerMaker {
}
// namespace paddle
namespace
f
=
paddle
::
framework
;
namespace
ops
=
paddle
::
operators
;
using
EnforceNotMet
=
paddle
::
platform
::
EnforceNotMet
;
REGISTER_OP
(
rowwise_add
,
f
::
EmptyOp
,
f
::
RowWiseAddOpMaker
);
REGISTER_GRADIENT_OP
(
rowwise_add
,
rowwise_add_grad
,
f
::
EmptyOp
);
...
...
paddle/framework/pybind.cc
浏览文件 @
72fb86a2
...
...
@@ -18,11 +18,8 @@ limitations under the License. */
#include "paddle/framework/backward.h"
#include "paddle/framework/op_registry.h"
#include "paddle/framework/operator.h"
#include "paddle/framework/scope.h"
#include "paddle/framework/tensor_py.h"
#include "paddle/operators/net_op.h"
#include "paddle/operators/type_alias.h"
#include "paddle/platform/enforce.h"
#include "paddle/platform/place.h"
#include "pybind11/numpy.h"
...
...
@@ -43,6 +40,9 @@ USE_OP(rowwise_add);
USE_OP_WITHOUT_KERNEL
(
recurrent_op
);
namespace
paddle
{
namespace
framework
{
using
Tensor
=
framework
::
Tensor
;
template
<
typename
ClassType
>
void
ExposeOperator
(
ClassType
&
m
)
{
m
.
def
(
"infer_shape"
,
&
ClassType
::
type
::
InferShape
)
...
...
@@ -128,8 +128,8 @@ All parameter, weight, gradient are variables in Paddle.
[](
Variable
&
self
)
->
Tensor
*
{
return
self
.
GetMutable
<
Tensor
>
();
},
py
::
return_value_policy
::
reference
)
.
def
(
"get_net"
,
[](
Variable
&
self
)
->
ops
::
NetOp
*
{
return
self
.
GetMutable
<
ops
::
NetOp
>
();
[](
Variable
&
self
)
->
op
erator
s
::
NetOp
*
{
return
self
.
GetMutable
<
op
erator
s
::
NetOp
>
();
},
py
::
return_value_policy
::
reference
);
...
...
@@ -208,23 +208,24 @@ All parameter, weight, gradient are variables in Paddle.
ExposeOperator
(
operator_base
);
py
::
class_
<
op
s
::
NetOp
,
std
::
shared_ptr
<
op
s
::
NetOp
>>
net
(
m
,
"Net"
);
py
::
class_
<
op
erators
::
NetOp
,
std
::
shared_ptr
<
operator
s
::
NetOp
>>
net
(
m
,
"Net"
);
net
.
def_static
(
"create"
,
[]()
->
std
::
shared_ptr
<
ops
::
NetOp
>
{
auto
retv
=
std
::
make_shared
<
ops
::
NetOp
>
();
[]()
->
std
::
shared_ptr
<
op
erator
s
::
NetOp
>
{
auto
retv
=
std
::
make_shared
<
op
erator
s
::
NetOp
>
();
retv
->
type_
=
"plain_net"
;
return
retv
;
})
.
def
(
"add_op"
,
&
ops
::
NetOp
::
AddOp
)
.
def
(
"add_op"
,
[](
ops
::
NetOp
&
self
,
const
std
::
shared_ptr
<
ops
::
NetOp
>
&
net
)
->
void
{
self
.
AddOp
(
std
::
static_pointer_cast
<
OperatorBase
>
(
net
));
})
.
def
(
"complete_add_op"
,
&
ops
::
NetOp
::
CompleteAddOp
)
.
def
(
"complete_add_op"
,
[](
std
::
shared_ptr
<
ops
::
NetOp
>
&
self
)
{
self
->
CompleteAddOp
();
});
.
def
(
"add_op"
,
&
operators
::
NetOp
::
AddOp
)
.
def
(
"add_op"
,
[](
operators
::
NetOp
&
self
,
const
std
::
shared_ptr
<
operators
::
NetOp
>
&
net
)
->
void
{
self
.
AddOp
(
std
::
static_pointer_cast
<
OperatorBase
>
(
net
));
})
.
def
(
"complete_add_op"
,
&
operators
::
NetOp
::
CompleteAddOp
)
.
def
(
"complete_add_op"
,
[](
std
::
shared_ptr
<
operators
::
NetOp
>
&
self
)
{
self
->
CompleteAddOp
();
});
ExposeOperator
(
net
);
...
...
paddle/operators/add_op_test.cc
浏览文件 @
72fb86a2
...
...
@@ -14,7 +14,8 @@ limitations under the License. */
#include <gtest/gtest.h>
#define private public
#include <paddle/framework/op_registry.h>
#include "paddle/framework/op_registry.h"
USE_OP
(
add_two
);
// USE_OP(add_two_grad);
...
...
paddle/operators/fill_zeros_like_op.cc
浏览文件 @
72fb86a2
...
...
@@ -13,8 +13,6 @@ See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/operators/fill_zeros_like_op.h"
#include "paddle/framework/op_registry.h"
#include "paddle/framework/tensor.h"
namespace
paddle
{
namespace
operators
{
...
...
@@ -52,8 +50,8 @@ The output will have the same size with input.
}
// namespace operators
}
// namespace paddle
REGISTER_OP
(
fill_zeros_like
,
paddle
::
operators
::
FillZerosLikeOp
,
paddle
::
operator
s
::
FillZerosLikeOpMaker
);
namespace
ops
=
paddle
::
operators
;
REGISTER_OP
(
fill_zeros_like
,
ops
::
FillZerosLikeOp
,
op
s
::
FillZerosLikeOpMaker
);
REGISTER_OP_CPU_KERNEL
(
fill_zeros_like
,
paddle
::
operator
s
::
FillZerosLikeKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
op
s
::
FillZerosLikeKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
paddle/operators/fill_zeros_like_op.cu
浏览文件 @
72fb86a2
...
...
@@ -12,9 +12,9 @@
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/framework/op_registry.h"
#include "paddle/operators/fill_zeros_like_op.h"
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_GPU_KERNEL
(
fill_zeros_like
,
paddle
::
operator
s
::
FillZerosLikeKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
);
op
s
::
FillZerosLikeKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
);
paddle/operators/fill_zeros_like_op.h
浏览文件 @
72fb86a2
...
...
@@ -13,9 +13,8 @@ See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include "glog/logging.h"
#include "paddle/framework/eigen.h"
#include "paddle/framework/op
erator
.h"
#include "paddle/framework/op
_registry
.h"
namespace
paddle
{
namespace
operators
{
...
...
paddle/operators/net_op_test.cc
浏览文件 @
72fb86a2
...
...
@@ -4,26 +4,25 @@
namespace
paddle
{
namespace
operators
{
using
Scope
=
framework
::
Scope
;
using
DeviceContext
=
platform
::
DeviceContext
;
static
int
infer_shape_cnt
=
0
;
static
int
run_cnt
=
0
;
class
TestOp
:
public
OperatorBase
{
class
TestOp
:
public
framework
::
OperatorBase
{
public:
void
InferShape
(
const
framework
::
Scope
&
scope
)
const
override
{
++
infer_shape_cnt
;
}
void
Run
(
const
framework
::
Scope
&
scope
,
const
paddle
::
platform
::
DeviceContext
&
dev_ctx
)
const
override
{
void
InferShape
(
const
Scope
&
scope
)
const
override
{
++
infer_shape_cnt
;
}
void
Run
(
const
Scope
&
scope
,
const
platform
::
DeviceContext
&
dev_ctx
)
const
override
{
++
run_cnt
;
}
};
class
EmptyOp
:
public
OperatorBase
{
class
EmptyOp
:
public
framework
::
OperatorBase
{
public:
void
InferShape
(
const
Scope
&
scope
)
const
override
{}
void
Run
(
const
Scope
&
scope
,
const
platform
::
DeviceContext
&
dev_ctx
)
const
override
{}
void
Run
(
const
Scope
&
scope
,
const
DeviceContext
&
dev_ctx
)
const
override
{}
};
template
<
typename
T
>
...
...
@@ -69,7 +68,7 @@ TEST(OpKernel, all) {
net
->
Run
(
scope
,
dev_ctx
);
ASSERT_EQ
(
2
,
infer_shape_cnt
);
ASSERT_EQ
(
2
,
run_cnt
);
ASSERT_THROW
(
net
->
AddOp
(
op2
),
p
addle
::
p
latform
::
EnforceNotMet
);
ASSERT_THROW
(
net
->
AddOp
(
op2
),
platform
::
EnforceNotMet
);
}
TEST
(
NetOp
,
insert_op
)
{
...
...
paddle/pybind/pybind.cc
0 → 100644
浏览文件 @
72fb86a2
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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 <Python.h>
#include <fstream>
#include <vector>
#include "paddle/framework/net.h"
#include "paddle/framework/op_registry.h"
#include "paddle/framework/operator.h"
#include "paddle/framework/scope.h"
#include "paddle/platform/enforce.h"
#include "paddle/platform/place.h"
#include "paddle/pybind/tensor_bind.h"
#include "pybind11/numpy.h"
#include "pybind11/pybind11.h"
#include "pybind11/stl.h"
namespace
py
=
pybind11
;
namespace
pd
=
paddle
::
framework
;
USE_OP
(
add_two
);
USE_OP
(
onehot_cross_entropy
);
USE_OP_WITHOUT_KERNEL
(
fc
);
USE_OP
(
sgd
);
USE_OP
(
mul
);
USE_OP
(
mean
);
USE_OP
(
sigmoid
);
USE_OP
(
softmax
);
USE_OP
(
rowwise_add
);
USE_OP_WITHOUT_KERNEL
(
recurrent_op
);
template
<
typename
ClassType
>
void
ExposeOperator
(
ClassType
&
m
)
{
m
.
def
(
"infer_shape"
,
&
ClassType
::
type
::
InferShape
)
.
def
(
"run"
,
&
ClassType
::
type
::
Run
)
.
def
(
"outputs"
,
[](
const
typename
ClassType
::
type
&
op
)
->
std
::
vector
<
std
::
string
>
{
return
op
.
outputs_
;
})
.
def
(
"__str__"
,
&
ClassType
::
type
::
DebugString
);
}
static
size_t
UniqueIntegerGenerator
()
{
static
std
::
atomic
<
size_t
>
generator
;
return
generator
.
fetch_add
(
1
);
}
bool
IsCompileGPU
()
{
#ifdef PADDLE_ONLY_CPU
return
false
;
#else
return
true
;
#endif
}
PYBIND11_PLUGIN
(
core
)
{
py
::
module
m
(
"core"
,
"C++ core of PaddlePaddle"
);
py
::
class_
<
pd
::
Tensor
>
(
m
,
"Tensor"
,
py
::
buffer_protocol
())
.
def_buffer
([](
pd
::
Tensor
&
self
)
->
py
::
buffer_info
{
return
paddle
::
pybind
::
CastToPyBuffer
(
self
);
})
.
def
(
"get_dims"
,
[](
const
pd
::
Tensor
&
self
)
{
return
pd
::
vectorize
(
self
.
dims
());
})
.
def
(
"set_dims"
,
[](
pd
::
Tensor
&
self
,
const
std
::
vector
<
int
>&
dim
)
{
self
.
Resize
(
pd
::
make_ddim
(
dim
));
})
.
def
(
"alloc_float"
,
[](
pd
::
Tensor
&
self
,
paddle
::
platform
::
GPUPlace
&
place
)
{
self
.
mutable_data
<
float
>
(
place
);
})
.
def
(
"alloc_float"
,
[](
pd
::
Tensor
&
self
,
paddle
::
platform
::
CPUPlace
&
place
)
{
self
.
mutable_data
<
float
>
(
place
);
})
.
def
(
"alloc_int"
,
[](
pd
::
Tensor
&
self
,
paddle
::
platform
::
CPUPlace
&
place
)
{
self
.
mutable_data
<
int
>
(
place
);
})
.
def
(
"alloc_int"
,
[](
pd
::
Tensor
&
self
,
paddle
::
platform
::
GPUPlace
&
place
)
{
self
.
mutable_data
<
int
>
(
place
);
})
.
def
(
"set"
,
paddle
::
pybind
::
PyCPUTensorSetFromArray
<
float
>
)
.
def
(
"set"
,
paddle
::
pybind
::
PyCPUTensorSetFromArray
<
int
>
)
#ifndef PADDLE_ONLY_CPU
.
def
(
"set"
,
paddle
::
pybind
::
PyCUDATensorSetFromArray
<
float
>
)
.
def
(
"set"
,
paddle
::
pybind
::
PyCUDATensorSetFromArray
<
int
>
)
#endif
.
def
(
"shape"
,
[](
pd
::
Tensor
&
self
)
{
return
pd
::
vectorize
(
self
.
dims
());
});
py
::
class_
<
pd
::
Variable
>
(
m
,
"Variable"
,
R"DOC(Variable Class.
All parameter, weight, gradient are variables in Paddle.
)DOC"
)
.
def
(
"is_int"
,
[](
const
pd
::
Variable
&
var
)
{
return
var
.
IsType
<
int
>
();
})
.
def
(
"set_int"
,
[](
pd
::
Variable
&
var
,
int
val
)
->
void
{
*
var
.
GetMutable
<
int
>
()
=
val
;
})
.
def
(
"get_int"
,
[](
const
pd
::
Variable
&
var
)
->
int
{
return
var
.
Get
<
int
>
();
})
.
def
(
"get_tensor"
,
[](
pd
::
Variable
&
self
)
->
pd
::
Tensor
*
{
return
self
.
GetMutable
<
pd
::
Tensor
>
();
},
py
::
return_value_policy
::
reference
)
.
def
(
"get_net"
,
[](
pd
::
Variable
&
self
)
->
pd
::
NetOp
*
{
return
self
.
GetMutable
<
pd
::
NetOp
>
();
},
py
::
return_value_policy
::
reference
);
py
::
class_
<
pd
::
Scope
>
(
m
,
"Scope"
,
""
)
.
def
(
"new_var"
,
[](
pd
::
Scope
&
self
,
const
std
::
string
&
name
)
->
pd
::
Variable
*
{
return
self
.
NewVar
(
name
);
},
py
::
return_value_policy
::
reference
)
.
def
(
"find_var"
,
&
pd
::
Scope
::
FindVar
,
py
::
return_value_policy
::
reference
)
.
def
(
py
::
init
<>
())
.
def
(
"new_scope"
,
[](
pd
::
Scope
&
self
)
->
pd
::
Scope
*
{
return
&
self
.
NewScope
();
},
py
::
return_value_policy
::
reference
)
.
def
(
"drop_kids"
,
&
pd
::
Scope
::
DropKids
);
//! @note: Be careful! PyBind will return std::string as an unicode, not
//! Python str. If you want a str object, you should cast them in Python.
m
.
def
(
"get_all_op_protos"
,
[]()
->
std
::
vector
<
py
::
bytes
>
{
auto
&
protos
=
pd
::
OpRegistry
::
protos
();
std
::
vector
<
py
::
bytes
>
ret_values
;
for
(
auto
it
=
protos
.
begin
();
it
!=
protos
.
end
();
++
it
)
{
PADDLE_ENFORCE
(
it
->
second
.
IsInitialized
(),
"OpProto must all be initialized"
);
std
::
string
str
;
PADDLE_ENFORCE
(
it
->
second
.
SerializeToString
(
&
str
),
"Serialize OpProto Error. This could be a bug of Paddle."
);
ret_values
.
push_back
(
py
::
bytes
(
str
));
}
return
ret_values
;
});
m
.
def_submodule
(
"var_names"
,
"The module will return special predefined variable name in Paddle"
)
.
def
(
"empty"
,
pd
::
OperatorBase
::
EMPTY_VAR_NAME
)
.
def
(
"temp"
,
pd
::
OperatorBase
::
TMP_VAR_NAME
);
// clang-format off
py
::
class_
<
paddle
::
platform
::
DeviceContext
>
(
m
,
"DeviceContext"
)
.
def_static
(
"create"
,
[](
paddle
::
platform
::
CPUPlace
&
place
)
->
paddle
::
platform
::
DeviceContext
*
{
return
new
paddle
::
platform
::
CPUDeviceContext
();
})
.
def_static
(
"create"
,
[](
paddle
::
platform
::
GPUPlace
&
place
)
->
paddle
::
platform
::
DeviceContext
*
{
#ifdef PADDLE_ONLY_CPU
PADDLE_THROW
(
"GPUPlace is not supported in CPU device."
);
#else
return
new
paddle
::
platform
::
CUDADeviceContext
(
place
);
#endif
});
// clang-format on
py
::
class_
<
paddle
::
platform
::
GPUPlace
>
(
m
,
"GPUPlace"
).
def
(
py
::
init
<
int
>
());
py
::
class_
<
paddle
::
platform
::
CPUPlace
>
(
m
,
"CPUPlace"
).
def
(
py
::
init
<>
());
py
::
class_
<
pd
::
OperatorBase
,
std
::
shared_ptr
<
pd
::
OperatorBase
>>
operator_base
(
m
,
"Operator"
);
operator_base
.
def_static
(
"create"
,
[](
py
::
bytes
protobin
)
{
pd
::
OpDesc
desc
;
PADDLE_ENFORCE
(
desc
.
ParsePartialFromString
(
protobin
),
"Cannot parse user input to OpDesc"
);
PADDLE_ENFORCE
(
desc
.
IsInitialized
(),
"User OpDesc is not initialized, reason %s"
,
desc
.
InitializationErrorString
());
return
pd
::
OpRegistry
::
CreateOp
(
desc
);
});
ExposeOperator
(
operator_base
);
py
::
class_
<
pd
::
NetOp
,
std
::
shared_ptr
<
pd
::
NetOp
>>
net
(
m
,
"Net"
);
net
.
def_static
(
"create"
,
[]()
->
std
::
shared_ptr
<
pd
::
NetOp
>
{
auto
retv
=
std
::
make_shared
<
pd
::
NetOp
>
();
retv
->
type_
=
"plain_net"
;
return
retv
;
})
.
def
(
"add_op"
,
&
pd
::
NetOp
::
AddOp
)
.
def
(
"add_op"
,
[](
pd
::
NetOp
&
self
,
const
std
::
shared_ptr
<
pd
::
NetOp
>&
net
)
->
void
{
self
.
AddOp
(
std
::
static_pointer_cast
<
pd
::
OperatorBase
>
(
net
));
})
.
def
(
"complete_add_op"
,
&
pd
::
NetOp
::
CompleteAddOp
)
.
def
(
"complete_add_op"
,
[](
std
::
shared_ptr
<
pd
::
NetOp
>&
self
)
{
self
->
CompleteAddOp
();
});
ExposeOperator
(
net
);
m
.
def
(
"unique_integer"
,
UniqueIntegerGenerator
);
m
.
def
(
"is_compile_gpu"
,
IsCompileGPU
);
return
m
.
ptr
();
}
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