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42e96a02
编写于
3月 13, 2019
作者:
M
minqiyang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Accelerate CPU part
上级
4e8c03bd
变更
14
隐藏空白更改
内联
并排
Showing
14 changed file
with
64 addition
and
53 deletion
+64
-53
CMakeLists.txt
CMakeLists.txt
+10
-0
paddle/fluid/framework/grad_op_desc_maker.h
paddle/fluid/framework/grad_op_desc_maker.h
+4
-1
paddle/fluid/imperative/CMakeLists.txt
paddle/fluid/imperative/CMakeLists.txt
+1
-0
paddle/fluid/imperative/layer.cc
paddle/fluid/imperative/layer.cc
+3
-3
paddle/fluid/imperative/layer.h
paddle/fluid/imperative/layer.h
+17
-11
paddle/fluid/imperative/tracer.cc
paddle/fluid/imperative/tracer.cc
+2
-35
paddle/fluid/imperative/tracer.h
paddle/fluid/imperative/tracer.h
+4
-0
paddle/fluid/inference/CMakeLists.txt
paddle/fluid/inference/CMakeLists.txt
+2
-1
paddle/fluid/pybind/CMakeLists.txt
paddle/fluid/pybind/CMakeLists.txt
+1
-1
paddle/fluid/pybind/pybind.cc
paddle/fluid/pybind/pybind.cc
+7
-0
python/paddle/fluid/__init__.py
python/paddle/fluid/__init__.py
+2
-1
python/paddle/fluid/framework.py
python/paddle/fluid/framework.py
+4
-0
python/paddle/fluid/imperative/__init__.py
python/paddle/fluid/imperative/__init__.py
+4
-0
python/paddle/fluid/imperative/nn.py
python/paddle/fluid/imperative/nn.py
+3
-0
未找到文件。
CMakeLists.txt
浏览文件 @
42e96a02
...
...
@@ -37,6 +37,16 @@ if(WIN32)
set
(
CMAKE_STATIC_LINKER_FLAGS
"
${
CMAKE_STATIC_LINKER_FLAGS
}
${
PADDLE_LINK_FLAGS
}
"
)
set
(
CMAKE_SHARED_LINKER_FLAGS
"
${
CMAKE_SHARED_LINKER_FLAGS
}
${
PADDLE_LINK_FLAGS
}
"
)
set
(
CMAKE_EXE_LINKER_FLAGS
"
${
CMAKE_EXE_LINKER_FLAGS
}
${
PADDLE_LINK_FLAGS
}
"
)
# else()
# set(CMAKE_C_ARCHIVE_CREATE "<CMAKE_AR> --target elf64-x86-64 cr <TARGET> <LINK_FLAGS> <OBJECTS>")
# set(CMAKE_C_ARCHIVE_APPEND "<CMAKE_AR> --target elf64-x86-64 r <TARGET> <LINK_FLAGS> <OBJECTS>")
# # set(CMAKE_C_ARCHIVE_FINISH "<CMAKE_RANLIB> --enable-64-bit-archive <TARGET>")
# set(CMAKE_CXX_ARCHIVE_CREATE ${CMAKE_C_ARCHIVE_CREATE})
# set(CMAKE_CXX_ARCHIVE_APPEND ${CMAKE_C_ARCHIVE_APPEND})
# # set(CMAKE_CXX_ARCHIVE_FINISH ${CMAKE_C_ARCHIVE_FINISH})
# set(CMAKE_Fortran_ARCHIVE_CREATE ${CMAKE_C_ARCHIVE_CREATE})
# set(CMAKE_Fortran_ARCHIVE_APPEND ${CMAKE_C_ARCHIVE_APPEND})
# # set(CMAKE_Fortran_ARCHIVE_FINISH ${CMAKE_C_ARCHIVE_FINISH})
endif
(
WIN32
)
find_package
(
CUDA QUIET
)
...
...
paddle/fluid/framework/grad_op_desc_maker.h
浏览文件 @
42e96a02
...
...
@@ -55,7 +55,10 @@ class GradOpDescMakerBase {
std
::
back_inserter
(
ret_val
),
[
this
](
const
std
::
string
&
fwd_var_name
)
->
std
::
string
{
auto
g_name
=
GradVarName
(
fwd_var_name
);
if
(
no_grad_set_
.
count
(
g_name
))
{
if
(
no_grad_set_
.
empty
())
{
(
*
this
->
grad_to_var_
)[
g_name
]
=
fwd_var_name
;
return
g_name
;
}
else
if
(
no_grad_set_
.
count
(
g_name
))
{
return
kEmptyVarName
;
}
else
{
(
*
this
->
grad_to_var_
)[
g_name
]
=
fwd_var_name
;
...
...
paddle/fluid/imperative/CMakeLists.txt
浏览文件 @
42e96a02
...
...
@@ -2,4 +2,5 @@ if(WITH_PYTHON)
cc_library
(
layer SRCS layer.cc DEPS proto_desc operator device_context blas pybind
)
cc_library
(
tracer SRCS tracer.cc DEPS proto_desc device_context pybind
)
cc_library
(
engine SRCS engine.cc
)
cc_library
(
imperative_profiler SRCS profiler.cc
)
endif
()
paddle/fluid/imperative/layer.cc
浏览文件 @
42e96a02
...
...
@@ -239,7 +239,7 @@ std::map<std::string, std::vector<VarBase*>> OpBase::ApplyGrad() {
VLOG
(
3
)
<<
"apply grad op "
<<
grad_op_desc
->
Type
();
// Allocate tmp grad output variable
for
(
auto
it
:
grad_output_variable_map
)
{
for
(
const
auto
&
it
:
grad_output_variable_map
)
{
auto
&
outputs
=
tmp_grad_outputs
[
k
][
it
.
first
];
outputs
.
reserve
(
it
.
second
.
size
());
for
(
size_t
i
=
0
;
i
<
it
.
second
.
size
();
++
i
)
{
...
...
@@ -273,9 +273,9 @@ std::map<std::string, std::vector<VarBase*>> OpBase::ApplyGrad() {
// Add tmp grad outputs to original grad vars
for
(
size_t
k
=
0
;
k
<
grad_output_vars_
.
size
();
++
k
)
{
for
(
auto
it
:
grad_output_vars_
[
k
])
{
for
(
const
auto
&
it
:
grad_output_vars_
[
k
])
{
auto
&
outputs
=
tmp_grad_outputs
[
k
][
it
.
first
];
auto
&
origin_outputs
=
it
.
second
;
const
auto
&
origin_outputs
=
it
.
second
;
PADDLE_ENFORCE_EQ
(
outputs
.
size
(),
origin_outputs
.
size
());
for
(
size_t
i
=
0
;
i
<
outputs
.
size
();
++
i
)
{
...
...
paddle/fluid/imperative/layer.h
浏览文件 @
42e96a02
...
...
@@ -294,17 +294,23 @@ class PYBIND11_HIDDEN OpBase {
void
InvokeBackwardHooks
();
void
TrackPreOp
(
const
VarBase
*
inp_var
,
const
std
::
string
&
inp_name
)
{
if
(
inp_var
->
PreOp
()
&&
!
inp_var
->
IsStopGradient
())
{
VLOG
(
3
)
<<
"add pre op "
<<
inp_var
->
PreOp
()
->
Type
()
<<
" in slot "
<<
inp_name
;
pre_ops_
[
inp_name
].
push_back
(
inp_var
->
PreOp
());
pre_ops_out_idx_
[
inp_name
].
push_back
(
inp_var
->
PreOpOutIdx
());
}
else
{
VLOG
(
3
)
<<
"no pre op in slot "
<<
inp_name
<<
" input var stop_gradient: "
<<
inp_var
->
IsStopGradient
();
pre_ops_
[
inp_name
].
push_back
(
nullptr
);
// pre_ops_out_idx_[inp_name].push_back(-1);
void
TrackPreOp
(
const
std
::
string
&
inp_name
,
const
std
::
vector
<
VarBase
*>&
inputs
)
{
auto
&
pre_ops_list
=
pre_ops_
[
inp_name
];
pre_ops_list
.
reserve
(
inputs
.
size
());
auto
&
pre_ops_out_idx_list
=
pre_ops_out_idx_
[
inp_name
];
for
(
VarBase
*
inp_var
:
inputs
)
{
if
(
inp_var
->
PreOp
()
&&
!
inp_var
->
IsStopGradient
())
{
VLOG
(
3
)
<<
"add pre op "
<<
inp_var
->
PreOp
()
->
Type
()
<<
" in slot "
<<
inp_name
;
pre_ops_list
.
emplace_back
(
inp_var
->
PreOp
());
pre_ops_out_idx_list
.
push_back
(
inp_var
->
PreOpOutIdx
());
}
else
{
VLOG
(
3
)
<<
"no pre op in slot "
<<
inp_name
<<
" input var stop_gradient: "
<<
inp_var
->
IsStopGradient
();
pre_ops_list
.
emplace_back
(
nullptr
);
// pre_ops_out_idx_list.push_back(-1);
}
}
}
...
...
paddle/fluid/imperative/tracer.cc
浏览文件 @
42e96a02
...
...
@@ -23,23 +23,9 @@
#include "paddle/fluid/platform/device_context.h"
#include "paddle/fluid/platform/enforce.h"
#ifdef WITH_GPERFTOOLS
#include "gperftools/profiler.h"
#endif
DEFINE_string
(
tracer_profile_fname
,
""
,
"Profiler filename for imperative tracer, which generated by gperftools."
"Only valid when compiled `WITH_PROFILER=ON`. Empty if disable."
);
namespace
paddle
{
namespace
imperative
{
static
std
::
once_flag
gTracerProfileOnce
;
#ifdef WITH_GPERFTOOLS
static
bool
gTracerProfilerStarted
=
false
;
#endif
void
CreateGradOp
(
const
framework
::
OpDesc
&
op_desc
,
const
std
::
unordered_set
<
std
::
string
>&
no_grad_set
,
const
std
::
vector
<
framework
::
BlockDesc
*>&
grad_sub_block
,
...
...
@@ -146,17 +132,6 @@ framework::VariableNameMap CreateOutputVarNameMap(
}
Tracer
::
Tracer
(
framework
::
BlockDesc
*
root_block
)
:
root_block_
(
root_block
)
{
if
(
!
FLAGS_tracer_profile_fname
.
empty
())
{
std
::
call_once
(
gTracerProfileOnce
,
[]
{
#ifdef WITH_GPERFTOOLS
ProfilerStart
(
FLAGS_tracer_profile_fname
.
c_str
());
gTracerProfilerStarted
=
true
;
#else
LOG
(
WARNING
)
<<
"Paddle is not compiled with gperftools. "
"FLAGS_tracer_profile_fname will be ignored"
;
#endif
});
}
}
std
::
set
<
std
::
string
>
Tracer
::
Trace
(
OpBase
*
op
,
const
VarBasePtrMap
&
inputs
,
...
...
@@ -164,12 +139,6 @@ std::set<std::string> Tracer::Trace(OpBase* op, const VarBasePtrMap& inputs,
framework
::
AttributeMap
attrs_map
,
const
platform
::
Place
expected_place
,
const
bool
stop_gradient
)
{
#ifdef WITH_GPERFTOOLS
if
(
gTracerProfilerStarted
)
{
ProfilerFlush
();
}
#endif
framework
::
VariableValueMap
invars_map
;
framework
::
VariableValueMap
outvars_map
;
...
...
@@ -184,7 +153,6 @@ std::set<std::string> Tracer::Trace(OpBase* op, const VarBasePtrMap& inputs,
inp
->
Name
());
invars
.
emplace_back
(
inp
->
var_
);
op
->
TrackPreOp
(
inp
,
it
.
first
);
if
(
!
stop_gradient
)
{
current_vars_map
[
inp
->
Name
()]
=
inp
;
}
...
...
@@ -192,6 +160,7 @@ std::set<std::string> Tracer::Trace(OpBase* op, const VarBasePtrMap& inputs,
<<
" inited: "
<<
inp
->
var_
->
IsInitialized
()
<<
" stop_grad: "
<<
inp
->
IsStopGradient
();
}
op
->
TrackPreOp
(
it
.
first
,
it
.
second
);
}
op
->
output_vars_
=
outputs
;
...
...
@@ -319,9 +288,7 @@ std::vector<VarBase*> Tracer::PyTrace(OpBase* op,
std
::
vector
<
framework
::
Variable
*>
ret_vars
=
PyLayer
::
Apply
(
op
->
forward_id_
,
inputs
);
for
(
VarBase
*
inp
:
inputs
)
{
op
->
TrackPreOp
(
inp
,
PyLayer
::
kFwdInp
);
}
op
->
TrackPreOp
(
PyLayer
::
kFwdInp
,
inputs
);
std
::
vector
<
VarBase
*>&
outputs
=
op
->
output_vars_
[
PyLayer
::
kFwdOut
];
outputs
.
reserve
(
ret_vars
.
size
());
...
...
paddle/fluid/imperative/tracer.h
浏览文件 @
42e96a02
...
...
@@ -56,6 +56,10 @@ class Tracer {
std
::
vector
<
VarBase
*>
PyTrace
(
OpBase
*
op
,
const
std
::
vector
<
VarBase
*>&
inputs
,
bool
stop_gradient
=
false
);
static
void
StartProfile
();
static
void
StopProfile
();
private:
platform
::
Place
GetPlace
(
const
VarBasePtrMap
&
inputs
);
...
...
paddle/fluid/inference/CMakeLists.txt
浏览文件 @
42e96a02
...
...
@@ -29,6 +29,7 @@ endif(WIN32)
if
(
WIN32
)
sep_library
(
paddle_fluid_origin DEPS
${
fluid_modules
}
paddle_fluid_api
)
else
(
WIN32
)
#set(CMAKE_C_ARCHIVE_CREATE "<CMAKE_AR> --target elf64-x86-64 cr paddle_fluid_origin ${fluid_modules} paddle_fluid_api")
cc_library
(
paddle_fluid_origin DEPS
${
fluid_modules
}
paddle_fluid_api
)
endif
(
WIN32
)
...
...
@@ -91,5 +92,5 @@ if(WITH_TESTING)
add_subdirectory
(
tests/book
)
if
(
WITH_INFERENCE_API_TEST
)
add_subdirectory
(
tests/api
)
endif
()
endif
()
endif
()
paddle/fluid/pybind/CMakeLists.txt
浏览文件 @
42e96a02
set
(
PYBIND_DEPS pybind python proto_desc memory executor async_executor prune
feed_fetch_method pass_builder parallel_executor profiler layer scope_pool
tracer analysis_predictor
)
tracer analysis_predictor
imperative_profiler
)
if
(
WITH_PYTHON
)
list
(
APPEND PYBIND_DEPS py_func_op
)
...
...
paddle/fluid/pybind/pybind.cc
浏览文件 @
42e96a02
...
...
@@ -36,6 +36,7 @@ limitations under the License. */
#include "paddle/fluid/framework/selected_rows.h"
#include "paddle/fluid/framework/version.h"
#include "paddle/fluid/imperative/layer.h"
#include "paddle/fluid/imperative/profiler.h"
#include "paddle/fluid/memory/allocation/allocator_strategy.h"
#include "paddle/fluid/memory/allocation/legacy_allocator.h"
#include "paddle/fluid/operators/activation_op.h"
...
...
@@ -148,6 +149,12 @@ PYBIND11_MODULE(core, m) {
m
.
def
(
"print_mem_usage"
,
[]()
{
return
memory
::
allocation
::
GPUMemMonitor
.
PrintMemUsage
();
});
m
.
def
(
"start_imperative_profiler"
,
[]()
{
imperative
::
StartProfile
();
});
m
.
def
(
"stop_imperative_profiler"
,
[]()
{
imperative
::
StopProfile
();
});
py
::
class_
<
imperative
::
VarBase
>
(
m
,
"VarBase"
,
R"DOC()DOC"
)
.
def
(
py
::
init
<
const
std
::
string
&
,
paddle
::
framework
::
proto
::
VarType
::
Type
,
...
...
python/paddle/fluid/__init__.py
浏览文件 @
42e96a02
...
...
@@ -132,7 +132,8 @@ def __bootstrap__():
'allocator_strategy'
,
'reader_queue_speed_test_mode'
,
'print_sub_graph_dir'
,
'pe_profile_fname'
,
'warpctc_dir'
,
'inner_op_parallelism'
,
'enable_parallel_graph'
,
'multiple_of_cupti_buffer_size'
,
'enable_subgraph_optimize'
'multiple_of_cupti_buffer_size'
,
'enable_subgraph_optimize'
,
'tracer_profile_fname'
]
if
'Darwin'
not
in
sysstr
:
read_env_flags
.
append
(
'use_pinned_memory'
)
...
...
python/paddle/fluid/framework.py
浏览文件 @
42e96a02
...
...
@@ -290,6 +290,7 @@ class Variable(object):
dtype='float32')
"""
# @profile
def
__init__
(
self
,
block
,
type
=
core
.
VarDesc
.
VarType
.
LOD_TENSOR
,
...
...
@@ -645,6 +646,7 @@ class Operator(object):
'checkpoint_notify'
,
'gen_nccl_id'
}
# @profile
def
__init__
(
self
,
block
,
desc
,
...
...
@@ -1239,6 +1241,7 @@ class Block(object):
return
(
item
[
1
]
for
item
in
six
.
iteritems
(
self
.
vars
)
if
isinstance
(
item
[
1
],
Parameter
))
# @profile
def
create_var
(
self
,
*
args
,
**
kwargs
):
var
=
Variable
(
block
=
self
,
*
args
,
**
kwargs
)
if
'initializer'
in
kwargs
:
...
...
@@ -1347,6 +1350,7 @@ class Block(object):
initializer
(
param
,
self
)
return
param
# @profile
def
append_op
(
self
,
*
args
,
**
kwargs
):
"""
Appends a new Operator according to the giving arguments.
...
...
python/paddle/fluid/imperative/__init__.py
浏览文件 @
42e96a02
...
...
@@ -26,8 +26,12 @@ from .nn import *
from
.
import
tracer
from
.tracer
import
*
from
.
import
profiler
from
.profiler
import
*
__all__
=
[]
__all__
+=
layers
.
__all__
__all__
+=
base
.
__all__
__all__
+=
nn
.
__all__
__all__
+=
tracer
.
__all__
__all__
+=
profiler
.
__all__
python/paddle/fluid/imperative/nn.py
浏览文件 @
42e96a02
...
...
@@ -97,6 +97,7 @@ class Conv2D(layers.Layer):
dtype
=
self
.
_dtype
,
is_bias
=
True
)
# @profile
def
forward
(
self
,
input
):
pre_bias
=
self
.
_helper
.
create_variable_for_type_inference
(
dtype
=
self
.
_dtype
)
...
...
@@ -169,6 +170,7 @@ class Pool2D(layers.Layer):
self
.
_exclusive
=
exclusive
self
.
_l_type
=
'pool2d'
# @profile
def
forward
(
self
,
input
):
pool_out
=
self
.
_helper
.
create_variable_for_type_inference
(
self
.
_dtype
)
...
...
@@ -229,6 +231,7 @@ class FC(layers.Layer):
else
:
self
.
_b
=
None
# @profile
def
forward
(
self
,
input
):
tmp
=
self
.
_helper
.
create_variable_for_type_inference
(
self
.
_dtype
)
self
.
_helper
.
append_op
(
...
...
编辑
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