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455639b2
编写于
1月 31, 2018
作者:
T
Tao Luo
提交者:
GitHub
1月 31, 2018
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差异文件
Merge pull request #7874 from Xreki/core_add_inference_unittest
Change the inference example to an unittest
上级
e1611eb4
f5990b46
变更
12
隐藏空白更改
内联
并排
Showing
12 changed file
with
189 addition
and
43 deletion
+189
-43
cmake/generic.cmake
cmake/generic.cmake
+10
-4
paddle/framework/executor.cc
paddle/framework/executor.cc
+0
-3
paddle/framework/feed_fetch_type.h
paddle/framework/feed_fetch_type.h
+4
-0
paddle/framework/program_desc.cc
paddle/framework/program_desc.cc
+1
-3
paddle/framework/program_desc.h
paddle/framework/program_desc.h
+1
-0
paddle/inference/CMakeLists.txt
paddle/inference/CMakeLists.txt
+2
-15
paddle/inference/io.cc
paddle/inference/io.cc
+5
-4
paddle/inference/io.h
paddle/inference/io.h
+0
-5
paddle/inference/tests/book/CMakeLists.txt
paddle/inference/tests/book/CMakeLists.txt
+7
-0
paddle/inference/tests/book/test_inference_recognize_digits.cc
...e/inference/tests/book/test_inference_recognize_digits.cc
+113
-0
paddle/testing/paddle_gtest_main.cc
paddle/testing/paddle_gtest_main.cc
+3
-1
python/paddle/v2/fluid/tests/book/test_recognize_digits.py
python/paddle/v2/fluid/tests/book/test_recognize_digits.py
+43
-8
未找到文件。
cmake/generic.cmake
浏览文件 @
455639b2
...
...
@@ -224,12 +224,18 @@ function(cc_test TARGET_NAME)
if
(
WITH_TESTING
)
set
(
options
""
)
set
(
oneValueArgs
""
)
set
(
multiValueArgs SRCS DEPS
)
set
(
multiValueArgs SRCS DEPS
ARGS
)
cmake_parse_arguments
(
cc_test
"
${
options
}
"
"
${
oneValueArgs
}
"
"
${
multiValueArgs
}
"
${
ARGN
}
)
add_executable
(
${
TARGET_NAME
}
${
cc_test_SRCS
}
)
target_link_libraries
(
${
TARGET_NAME
}
${
cc_test_DEPS
}
paddle_gtest_main paddle_memory gtest gflags
)
# Support linking flags: --whole-archive (Linux) / -force_load (MacOS)
target_circle_link_libraries
(
${
TARGET_NAME
}
${
cc_test_DEPS
}
paddle_gtest_main paddle_memory gtest gflags
)
if
(
"
${
cc_test_DEPS
}
"
MATCHES
"ARCHIVE_START"
)
list
(
REMOVE_ITEM cc_test_DEPS ARCHIVE_START ARCHIVE_END
)
endif
()
add_dependencies
(
${
TARGET_NAME
}
${
cc_test_DEPS
}
paddle_gtest_main paddle_memory gtest gflags
)
add_test
(
NAME
${
TARGET_NAME
}
COMMAND
${
TARGET_NAME
}
WORKING_DIRECTORY
${
CMAKE_CURRENT_SOURCE_DIR
}
)
add_test
(
NAME
${
TARGET_NAME
}
COMMAND
${
TARGET_NAME
}
${
cc_test_ARGS
}
WORKING_DIRECTORY
${
CMAKE_CURRENT_SOURCE_DIR
}
)
endif
()
endfunction
(
cc_test
)
...
...
@@ -457,7 +463,7 @@ endfunction()
function
(
py_test TARGET_NAME
)
if
(
WITH_TESTING
)
set
(
options
STATIC static SHARED shared
)
set
(
options
""
)
set
(
oneValueArgs
""
)
set
(
multiValueArgs SRCS DEPS ARGS
)
cmake_parse_arguments
(
py_test
"
${
options
}
"
"
${
oneValueArgs
}
"
"
${
multiValueArgs
}
"
${
ARGN
}
)
...
...
paddle/framework/executor.cc
浏览文件 @
455639b2
...
...
@@ -33,9 +33,6 @@ DEFINE_bool(check_nan_inf, false,
namespace
paddle
{
namespace
framework
{
const
std
::
string
kFeedOpType
=
"feed"
;
const
std
::
string
kFetchOpType
=
"fetch"
;
Executor
::
Executor
(
const
platform
::
Place
&
place
)
:
place_
(
place
)
{}
static
void
CreateTensor
(
Variable
*
var
,
proto
::
VarDesc
::
VarType
var_type
)
{
...
...
paddle/framework/feed_fetch_type.h
浏览文件 @
455639b2
...
...
@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include <string>
#include <vector>
#include "paddle/framework/lod_tensor.h"
...
...
@@ -20,5 +21,8 @@ namespace paddle {
namespace
framework
{
using
FeedFetchType
=
LoDTensor
;
using
FeedFetchList
=
std
::
vector
<
FeedFetchType
>
;
static
const
std
::
string
kFeedOpType
=
"feed"
;
static
const
std
::
string
kFetchOpType
=
"fetch"
;
}
// namespace framework
}
// namespace paddle
paddle/framework/program_desc.cc
浏览文件 @
455639b2
...
...
@@ -14,13 +14,11 @@ limitations under the License. */
#include "paddle/framework/program_desc.h"
#include "paddle/framework/block_desc.h"
#include "paddle/framework/feed_fetch_type.h"
namespace
paddle
{
namespace
framework
{
const
std
::
string
kFeedOpType
=
"feed"
;
const
std
::
string
kFetchOpType
=
"fetch"
;
BlockDesc
*
ProgramDesc
::
AppendBlock
(
const
BlockDesc
&
parent
)
{
auto
*
b
=
desc_
.
add_blocks
();
b
->
set_parent_idx
(
parent
.
ID
());
...
...
paddle/framework/program_desc.h
浏览文件 @
455639b2
...
...
@@ -16,6 +16,7 @@ limitations under the License. */
#include <memory>
#include <vector>
#include "paddle/framework/block_desc.h"
#include "paddle/framework/framework.pb.h"
#include "paddle/framework/proto_desc.h"
#include "paddle/platform/macros.h"
...
...
paddle/inference/CMakeLists.txt
浏览文件 @
455639b2
...
...
@@ -24,19 +24,6 @@ if(NOT WITH_C_API AND WITH_FLUID)
install
(
TARGETS paddle_fluid_shared DESTINATION lib
)
endif
()
add_executable
(
example example.cc
)
if
(
APPLE
)
set
(
OPTIONAL_LINK_FLAGS
)
if
(
"
${
CMAKE_CXX_COMPILER_ID
}
"
STREQUAL
"Clang"
OR
"
${
CMAKE_CXX_COMPILER_ID
}
"
STREQUAL
"AppleClang"
)
set
(
OPTIONAL_LINK_FLAGS
"-undefined dynamic_lookup"
)
endif
()
target_link_libraries
(
example
-Wl,-force_load paddle_fluid
${
OPTIONAL_LINK_FLAGS
}
${
PTOOLS_LIB
}
)
else
()
target_link_libraries
(
example
-Wl,--start-group -Wl,--whole-archive paddle_fluid
-Wl,--no-whole-archive -Wl,--end-group
${
PTOOLS_LIB
}
)
if
(
WITH_TESTING
)
add_subdirectory
(
tests/book
)
endif
()
paddle/inference/io.cc
浏览文件 @
455639b2
...
...
@@ -13,13 +13,14 @@ See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/inference/io.h"
#include <fstream>
#include "paddle/framework/block_desc.h"
#include "paddle/framework/feed_fetch_type.h"
namespace
paddle
{
namespace
inference
{
const
std
::
string
kFeedOpType
=
"feed"
;
bool
IsParameter
(
const
framework
::
VarDesc
*
var
,
const
framework
::
ProgramDesc
&
main_program
)
{
if
(
var
->
Persistable
())
{
...
...
@@ -27,7 +28,7 @@ bool IsParameter(const framework::VarDesc* var,
for
(
size_t
i
=
0
;
i
<
main_program
.
Size
();
++
i
)
{
const
framework
::
BlockDesc
&
block
=
main_program
.
Block
(
i
);
for
(
auto
*
op
:
block
.
AllOps
())
{
if
(
op
->
Type
()
==
kFeedOpType
)
{
if
(
op
->
Type
()
==
framework
::
kFeedOpType
)
{
continue
;
}
for
(
auto
input_argument_name
:
op
->
InputArgumentNames
())
{
...
...
@@ -51,7 +52,7 @@ void LoadPersistables(framework::Executor& executor,
framework
::
BlockDesc
*
load_block
=
load_program
->
MutableBlock
(
0
);
for
(
auto
*
var
:
global_block
.
AllVars
())
{
if
(
IsParameter
(
var
,
main_program
))
{
LOG
(
INFO
)
<<
"parameter's name: "
<<
var
->
Name
();
VLOG
(
3
)
<<
"parameter's name: "
<<
var
->
Name
();
framework
::
VarDesc
*
new_var
=
load_block
->
Var
(
var
->
Name
());
new_var
->
SetShape
(
var
->
Shape
());
...
...
paddle/inference/io.h
浏览文件 @
455639b2
...
...
@@ -17,18 +17,13 @@ limitations under the License. */
#include <memory>
#include <string>
#include <vector>
#include "paddle/framework/block_desc.h"
#include "paddle/framework/executor.h"
#include "paddle/framework/program_desc.h"
#include "paddle/framework/scope.h"
#include "paddle/framework/var_desc.h"
namespace
paddle
{
namespace
inference
{
bool
IsParameter
(
const
framework
::
VarDesc
*
var
,
const
framework
::
ProgramDesc
&
main_program
);
void
LoadPersistables
(
framework
::
Executor
&
executor
,
framework
::
Scope
&
scope
,
const
std
::
string
&
dirname
,
...
...
paddle/inference/tests/book/CMakeLists.txt
0 → 100644
浏览文件 @
455639b2
set
(
PYTHON_TESTS_DIR
${
PADDLE_SOURCE_DIR
}
/python/paddle/v2/fluid/tests
)
cc_test
(
test_inference_recognize_digits_mlp
SRCS test_inference_recognize_digits.cc
DEPS ARCHIVE_START paddle_fluid ARCHIVE_END
ARGS --dirname=
${
PYTHON_TESTS_DIR
}
/book/recognize_digits_mlp.inference.model
)
set_tests_properties
(
test_inference_recognize_digits_mlp
PROPERTIES DEPENDS test_recognize_digits_mlp_cpu
)
paddle/inference/
example
.cc
→
paddle/inference/
tests/book/test_inference_recognize_digits
.cc
浏览文件 @
455639b2
...
...
@@ -12,93 +12,102 @@ 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 <gtest/gtest.h>
#include <time.h>
#include <
io
stream>
#include <
s
stream>
#include "gflags/gflags.h"
#include "paddle/framework/init.h"
#include "paddle/framework/lod_tensor.h"
#include "paddle/inference/io.h"
DEFINE_string
(
dirname
,
""
,
"Directory of the inference model."
);
int
main
(
int
argc
,
char
**
argv
)
{
google
::
ParseCommandLineFlags
(
&
argc
,
&
argv
,
true
);
if
(
FLAGS_dirname
.
empty
())
{
// Example:
// ./example --dirname=recognize_digits_mlp.inference.model
std
::
cout
<<
"Usage: ./example --dirname=path/to/your/model"
<<
std
::
endl
;
exit
(
1
);
}
// 1. Define place, executor, scope
auto
place
=
paddle
::
platform
::
CPUPlace
();
paddle
::
framework
::
InitDevices
();
auto
*
executor
=
new
paddle
::
framework
::
Executor
(
place
);
template
<
typename
Place
,
typename
T
>
void
TestInference
(
const
std
::
string
&
dirname
,
const
std
::
vector
<
paddle
::
framework
::
LoDTensor
*>&
cpu_feeds
,
std
::
vector
<
paddle
::
framework
::
LoDTensor
*>&
cpu_fetchs
)
{
// 1. Define place, executor and scope
auto
place
=
Place
();
auto
executor
=
paddle
::
framework
::
Executor
(
place
);
auto
*
scope
=
new
paddle
::
framework
::
Scope
();
std
::
cout
<<
"FLAGS_dirname: "
<<
FLAGS_dirname
<<
std
::
endl
;
std
::
string
dirname
=
FLAGS_dirname
;
// 2. Initialize the inference program
auto
inference_program
=
paddle
::
inference
::
Load
(
*
executor
,
*
scope
,
dirname
);
// 2. Initialize the inference_program and load all parameters from file
auto
inference_program
=
paddle
::
inference
::
Load
(
executor
,
*
scope
,
dirname
);
// 3. Optional: perform optimization on the inference_program
// 4. Get the feed_target_names and fetch_target_names
// 3. Get the feed_target_names and fetch_target_names
const
std
::
vector
<
std
::
string
>&
feed_target_names
=
inference_program
->
GetFeedTargetNames
();
const
std
::
vector
<
std
::
string
>&
fetch_target_names
=
inference_program
->
GetFetchTargetNames
();
// 5. Generate input
paddle
::
framework
::
LoDTensor
input
;
srand
(
time
(
0
));
float
*
input_ptr
=
input
.
mutable_data
<
float
>
({
1
,
784
},
paddle
::
platform
::
CPUPlace
());
for
(
int
i
=
0
;
i
<
784
;
++
i
)
{
input_ptr
[
i
]
=
rand
()
/
(
static_cast
<
float
>
(
RAND_MAX
));
}
std
::
vector
<
paddle
::
framework
::
LoDTensor
>
feeds
;
feeds
.
push_back
(
input
);
std
::
vector
<
paddle
::
framework
::
LoDTensor
>
fetchs
;
// Set up maps for feed and fetch targets
// 4. Prepare inputs: set up maps for feed targets
std
::
map
<
std
::
string
,
const
paddle
::
framework
::
LoDTensor
*>
feed_targets
;
std
::
map
<
std
::
string
,
paddle
::
framework
::
LoDTensor
*>
fetch_targets
;
// set_feed_variable
for
(
size_t
i
=
0
;
i
<
feed_target_names
.
size
();
++
i
)
{
feed_targets
[
feed_target_names
[
i
]]
=
&
feeds
[
i
];
// Please make sure that cpu_feeds[i] is right for feed_target_names[i]
feed_targets
[
feed_target_names
[
i
]]
=
cpu_feeds
[
i
];
}
//
get_fetch_variable
fetchs
.
resize
(
fetch_target_names
.
size
())
;
//
5. Define Tensor to get the outputs: set up maps for fetch targets
std
::
map
<
std
::
string
,
paddle
::
framework
::
LoDTensor
*>
fetch_targets
;
for
(
size_t
i
=
0
;
i
<
fetch_target_names
.
size
();
++
i
)
{
fetch_targets
[
fetch_target_names
[
i
]]
=
&
fetchs
[
i
];
fetch_targets
[
fetch_target_names
[
i
]]
=
cpu_
fetchs
[
i
];
}
// Run the inference program
executor
->
Run
(
*
inference_program
,
scope
,
feed_targets
,
fetch_targets
);
//
6.
Run the inference program
executor
.
Run
(
*
inference_program
,
scope
,
feed_targets
,
fetch_targets
);
// Get outputs
for
(
size_t
i
=
0
;
i
<
fetchs
.
size
();
++
i
)
{
auto
dims_i
=
fetchs
[
i
].
dims
();
std
::
cout
<<
"dims_i:"
;
for
(
int
j
=
0
;
j
<
dims_i
.
size
();
++
j
)
{
std
::
cout
<<
" "
<<
dims_i
[
j
];
}
std
::
cout
<<
std
::
endl
;
std
::
cout
<<
"result:"
;
float
*
output_ptr
=
fetchs
[
i
].
data
<
float
>
();
for
(
int
j
=
0
;
j
<
paddle
::
framework
::
product
(
dims_i
);
++
j
)
{
std
::
cout
<<
" "
<<
output_ptr
[
j
];
}
std
::
cout
<<
std
::
endl
;
delete
scope
;
}
TEST
(
inference
,
recognize_digits
)
{
if
(
FLAGS_dirname
.
empty
())
{
LOG
(
FATAL
)
<<
"Usage: ./example --dirname=path/to/your/model"
;
}
delete
scope
;
delete
executor
;
LOG
(
INFO
)
<<
"FLAGS_dirname: "
<<
FLAGS_dirname
<<
std
::
endl
;
std
::
string
dirname
=
FLAGS_dirname
;
// 0. Call `paddle::framework::InitDevices()` initialize all the devices
// In unittests, this is done in paddle/testing/paddle_gtest_main.cc
return
0
;
paddle
::
framework
::
LoDTensor
input
;
srand
(
time
(
0
));
float
*
input_ptr
=
input
.
mutable_data
<
float
>
({
1
,
28
,
28
},
paddle
::
platform
::
CPUPlace
());
for
(
int
i
=
0
;
i
<
784
;
++
i
)
{
input_ptr
[
i
]
=
rand
()
/
(
static_cast
<
float
>
(
RAND_MAX
));
}
std
::
vector
<
paddle
::
framework
::
LoDTensor
*>
cpu_feeds
;
cpu_feeds
.
push_back
(
&
input
);
paddle
::
framework
::
LoDTensor
output1
;
std
::
vector
<
paddle
::
framework
::
LoDTensor
*>
cpu_fetchs1
;
cpu_fetchs1
.
push_back
(
&
output1
);
// Run inference on CPU
TestInference
<
paddle
::
platform
::
CPUPlace
,
float
>
(
dirname
,
cpu_feeds
,
cpu_fetchs1
);
LOG
(
INFO
)
<<
output1
.
dims
();
#ifdef PADDLE_WITH_CUDA
paddle
::
framework
::
LoDTensor
output2
;
std
::
vector
<
paddle
::
framework
::
LoDTensor
*>
cpu_fetchs2
;
cpu_fetchs2
.
push_back
(
&
output2
);
// Run inference on CUDA GPU
TestInference
<
paddle
::
platform
::
CUDAPlace
,
float
>
(
dirname
,
cpu_feeds
,
cpu_fetchs2
);
LOG
(
INFO
)
<<
output2
.
dims
();
EXPECT_EQ
(
output1
.
dims
(),
output2
.
dims
());
EXPECT_EQ
(
output1
.
numel
(),
output2
.
numel
());
float
err
=
1E-3
;
int
count
=
0
;
for
(
int64_t
i
=
0
;
i
<
output1
.
numel
();
++
i
)
{
if
(
fabs
(
output1
.
data
<
float
>
()[
i
]
-
output2
.
data
<
float
>
()[
i
])
>
err
)
{
count
++
;
}
}
EXPECT_EQ
(
count
,
0
)
<<
"There are "
<<
count
<<
" different elements."
;
#endif
}
paddle/testing/paddle_gtest_main.cc
浏览文件 @
455639b2
...
...
@@ -22,7 +22,9 @@ limitations under the License. */
int
main
(
int
argc
,
char
**
argv
)
{
std
::
vector
<
char
*>
new_argv
;
std
::
string
gflags_env
;
new_argv
.
push_back
(
argv
[
0
]);
for
(
int
i
=
0
;
i
<
argc
;
++
i
)
{
new_argv
.
push_back
(
argv
[
i
]);
}
#ifdef PADDLE_WITH_CUDA
new_argv
.
push_back
(
strdup
(
"--tryfromenv=fraction_of_gpu_memory_to_use,use_pinned_memory"
));
...
...
python/paddle/v2/fluid/tests/book/test_recognize_digits.py
浏览文件 @
455639b2
...
...
@@ -45,8 +45,9 @@ BATCH_SIZE = 64
def
loss_net
(
hidden
,
label
):
prediction
=
fluid
.
layers
.
fc
(
input
=
hidden
,
size
=
10
,
act
=
'softmax'
)
loss
=
fluid
.
layers
.
cross_entropy
(
input
=
prediction
,
label
=
label
)
return
fluid
.
layers
.
mean
(
x
=
loss
),
fluid
.
layers
.
accuracy
(
input
=
prediction
,
label
=
label
)
avg_loss
=
fluid
.
layers
.
mean
(
x
=
loss
)
acc
=
fluid
.
layers
.
accuracy
(
input
=
prediction
,
label
=
label
)
return
prediction
,
avg_loss
,
acc
def
mlp
(
img
,
label
):
...
...
@@ -73,8 +74,7 @@ def conv_net(img, label):
return
loss_net
(
conv_pool_2
,
label
)
def
main
():
args
=
parse_arg
()
def
train
(
args
,
save_dirname
=
None
):
print
(
"recognize digits with args: {0}"
.
format
(
" "
.
join
(
sys
.
argv
[
1
:])))
img
=
fluid
.
layers
.
data
(
name
=
'img'
,
shape
=
[
1
,
28
,
28
],
dtype
=
'float32'
)
...
...
@@ -91,7 +91,8 @@ def main():
with
pd
.
do
():
img_
=
pd
.
read_input
(
img
)
label_
=
pd
.
read_input
(
label
)
for
o
in
net_conf
(
img_
,
label_
):
prediction
,
avg_loss
,
acc
=
net_conf
(
img_
,
label_
)
for
o
in
[
avg_loss
,
acc
]:
pd
.
write_output
(
o
)
avg_loss
,
acc
=
pd
()
...
...
@@ -99,7 +100,7 @@ def main():
avg_loss
=
fluid
.
layers
.
mean
(
x
=
avg_loss
)
acc
=
fluid
.
layers
.
mean
(
x
=
acc
)
else
:
avg_loss
,
acc
=
net_conf
(
img
,
label
)
prediction
,
avg_loss
,
acc
=
net_conf
(
img
,
label
)
test_program
=
fluid
.
default_main_program
().
clone
()
...
...
@@ -137,7 +138,10 @@ def main():
acc_val
=
numpy
.
array
(
acc_set
).
mean
()
avg_loss_val
=
numpy
.
array
(
avg_loss_set
).
mean
()
if
float
(
acc_val
)
>
0.85
:
# test acc > 85%
exit
(
0
)
if
save_dirname
is
not
None
:
fluid
.
io
.
save_inference_model
(
save_dirname
,
[
"img"
],
[
prediction
],
exe
)
return
else
:
print
(
'PassID {0:1}, BatchID {1:04}, Test Loss {2:2.2}, Acc {3:2.2}'
.
...
...
@@ -145,5 +149,36 @@ def main():
float
(
avg_loss_val
),
float
(
acc_val
)))
def
infer
(
args
,
save_dirname
=
None
):
if
save_dirname
is
None
:
return
place
=
fluid
.
CUDAPlace
(
0
)
if
args
.
use_cuda
else
fluid
.
CPUPlace
()
exe
=
fluid
.
Executor
(
place
)
# Use fluid.io.load_inference_model to obtain the inference program desc,
# the feed_target_names (the names of variables that will be feeded
# data using feed operators), and the fetch_targets (variables that
# we want to obtain data from using fetch operators).
[
inference_program
,
feed_target_names
,
fetch_targets
]
=
fluid
.
io
.
load_inference_model
(
save_dirname
,
exe
)
# The input's dimension of conv should be 4-D or 5-D.
tensor_img
=
numpy
.
random
.
rand
(
1
,
1
,
28
,
28
).
astype
(
"float32"
)
# Construct feed as a dictionary of {feed_target_name: feed_target_data}
# and results will contain a list of data corresponding to fetch_targets.
results
=
exe
.
run
(
inference_program
,
feed
=
{
feed_target_names
[
0
]:
tensor_img
},
fetch_list
=
fetch_targets
)
print
(
"infer results: "
,
results
[
0
])
if
__name__
==
'__main__'
:
main
()
args
=
parse_arg
()
if
not
args
.
use_cuda
and
not
args
.
parallel
:
save_dirname
=
"recognize_digits_"
+
args
.
nn_type
+
".inference.model"
else
:
save_dirname
=
None
train
(
args
,
save_dirname
)
infer
(
args
,
save_dirname
)
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