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钟尚武
dlib
Commits
3e781f6f
Commit
3e781f6f
authored
Mar 17, 2018
by
Davis King
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Added interface to the global_function_search object.
parent
11ed2630
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global_optimization.cpp
tools/python/src/global_optimization.cpp
+129
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tools/python/src/global_optimization.cpp
View file @
3e781f6f
...
@@ -5,6 +5,7 @@
...
@@ -5,6 +5,7 @@
#include <dlib/python.h>
#include <dlib/python.h>
#include <dlib/global_optimization.h>
#include <dlib/global_optimization.h>
#include <dlib/matrix.h>
#include <dlib/matrix.h>
#include <pybind11/stl.h>
using
namespace
dlib
;
using
namespace
dlib
;
...
@@ -180,6 +181,68 @@ py::tuple py_find_min_global2 (
...
@@ -180,6 +181,68 @@ py::tuple py_find_min_global2 (
// ----------------------------------------------------------------------------------------
// ----------------------------------------------------------------------------------------
function_spec
py_function_spec1
(
py
::
list
a
,
py
::
list
b
)
{
return
function_spec
(
list_to_mat
(
a
),
list_to_mat
(
b
));
}
function_spec
py_function_spec2
(
py
::
list
a
,
py
::
list
b
,
py
::
list
c
)
{
return
function_spec
(
list_to_mat
(
a
),
list_to_mat
(
b
),
list_to_bool_vector
(
c
));
}
std
::
shared_ptr
<
global_function_search
>
py_global_function_search1
(
py
::
list
functions
)
{
std
::
vector
<
function_spec
>
tmp
;
for
(
auto
i
:
functions
)
tmp
.
emplace_back
(
i
.
cast
<
function_spec
>
());
return
std
::
make_shared
<
global_function_search
>
(
tmp
);
}
std
::
shared_ptr
<
global_function_search
>
py_global_function_search2
(
py
::
list
functions
,
py
::
list
initial_function_evals
,
double
relative_noise_magnitude
)
{
std
::
vector
<
function_spec
>
specs
;
for
(
auto
i
:
functions
)
specs
.
emplace_back
(
i
.
cast
<
function_spec
>
());
std
::
vector
<
std
::
vector
<
function_evaluation
>>
func_evals
;
for
(
auto
i
:
initial_function_evals
)
{
std
::
vector
<
function_evaluation
>
evals
;
for
(
auto
j
:
i
)
{
evals
.
emplace_back
(
j
.
cast
<
function_evaluation
>
());
}
func_evals
.
emplace_back
(
std
::
move
(
evals
));
}
return
std
::
make_shared
<
global_function_search
>
(
specs
,
func_evals
,
relative_noise_magnitude
);
}
function_evaluation
py_function_evaluation
(
const
py
::
list
&
x
,
double
y
)
{
return
function_evaluation
(
list_to_mat
(
x
),
y
);
}
// ----------------------------------------------------------------------------------------
void
bind_global_optimization
(
py
::
module
&
m
)
void
bind_global_optimization
(
py
::
module
&
m
)
{
{
/*!
/*!
...
@@ -309,5 +372,71 @@ ensures \n\
...
@@ -309,5 +372,71 @@ ensures \n\
);
);
}
}
// -------------------------------------------------
// -------------------------------------------------
py
::
class_
<
function_evaluation
>
(
m
,
"function_evaluation"
,
R"RAW(
This object records the output of a real valued function in response to
some input.
In particular, if you have a function F(x) then the function_evaluation is
simply a struct that records x and the scalar value F(x). )RAW"
)
.
def
(
py
::
init
<
matrix
<
double
,
0
,
1
>
,
double
>
(),
py
::
arg
(
"x"
),
py
::
arg
(
"y"
))
.
def
(
py
::
init
<>
(
&
py_function_evaluation
),
py
::
arg
(
"x"
),
py
::
arg
(
"y"
))
.
def_readonly
(
"x"
,
&
function_evaluation
::
x
)
.
def_readonly
(
"y"
,
&
function_evaluation
::
y
);
py
::
class_
<
function_spec
>
(
m
,
"function_spec"
,
"See: http://dlib.net/dlib/global_optimization/global_function_search_abstract.h.html"
)
.
def
(
py
::
init
<
matrix
<
double
,
0
,
1
>
,
matrix
<
double
,
0
,
1
>>
(),
py
::
arg
(
"bound1"
),
py
::
arg
(
"bound2"
)
)
.
def
(
py
::
init
<
matrix
<
double
,
0
,
1
>
,
matrix
<
double
,
0
,
1
>
,
std
::
vector
<
bool
>>
(),
py
::
arg
(
"bound1"
),
py
::
arg
(
"bound2"
),
py
::
arg
(
"is_integer"
)
)
.
def
(
py
::
init
<>
(
&
py_function_spec1
),
py
::
arg
(
"bound1"
),
py
::
arg
(
"bound2"
))
.
def
(
py
::
init
<>
(
&
py_function_spec2
),
py
::
arg
(
"bound1"
),
py
::
arg
(
"bound2"
),
py
::
arg
(
"is_integer"
))
.
def_readonly
(
"lower"
,
&
function_spec
::
lower
)
.
def_readonly
(
"upper"
,
&
function_spec
::
upper
)
.
def_readonly
(
"is_integer_variable"
,
&
function_spec
::
is_integer_variable
);
py
::
class_
<
function_evaluation_request
>
(
m
,
"function_evaluation_request"
,
"See: http://dlib.net/dlib/global_optimization/global_function_search_abstract.h.html"
)
.
def_property_readonly
(
"function_idx"
,
&
function_evaluation_request
::
function_idx
)
.
def_property_readonly
(
"x"
,
&
function_evaluation_request
::
x
)
.
def_property_readonly
(
"has_been_evaluated"
,
&
function_evaluation_request
::
has_been_evaluated
)
.
def
(
"set"
,
&
function_evaluation_request
::
set
);
py
::
class_
<
global_function_search
,
std
::
shared_ptr
<
global_function_search
>>
(
m
,
"global_function_search"
,
"See: http://dlib.net/dlib/global_optimization/global_function_search_abstract.h.html"
)
.
def
(
py
::
init
<
function_spec
>
(),
py
::
arg
(
"function"
))
.
def
(
py
::
init
<>
(
&
py_global_function_search1
),
py
::
arg
(
"functions"
))
.
def
(
py
::
init
<>
(
&
py_global_function_search2
),
py
::
arg
(
"functions"
),
py
::
arg
(
"initial_function_evals"
),
py
::
arg
(
"relative_noise_magnitude"
))
.
def
(
"set_seed"
,
&
global_function_search
::
set_seed
,
py
::
arg
(
"seed"
))
.
def
(
"num_functions"
,
&
global_function_search
::
num_functions
)
.
def
(
"get_function_evaluations"
,
[](
const
global_function_search
&
self
)
{
std
::
vector
<
function_spec
>
specs
;
std
::
vector
<
std
::
vector
<
function_evaluation
>>
function_evals
;
self
.
get_function_evaluations
(
specs
,
function_evals
);
py
::
list
py_specs
,
py_func_evals
;
for
(
auto
&
s
:
specs
)
py_specs
.
append
(
s
);
for
(
auto
&
i
:
function_evals
)
{
py
::
list
tmp
;
for
(
auto
&
j
:
i
)
tmp
.
append
(
j
);
py_func_evals
.
append
(
tmp
);
}
return
py
::
make_tuple
(
py_specs
,
py_func_evals
);})
.
def
(
"get_best_function_eval"
,
[](
const
global_function_search
&
self
)
{
matrix
<
double
,
0
,
1
>
x
;
double
y
;
size_t
idx
;
self
.
get_best_function_eval
(
x
,
y
,
idx
);
return
py
::
make_tuple
(
x
,
y
,
idx
);})
.
def
(
"get_next_x"
,
&
global_function_search
::
get_next_x
)
.
def
(
"get_pure_random_search_probability"
,
&
global_function_search
::
get_pure_random_search_probability
)
.
def
(
"set_pure_random_search_probability"
,
&
global_function_search
::
set_pure_random_search_probability
,
py
::
arg
(
"prob"
))
.
def
(
"get_solver_epsilon"
,
&
global_function_search
::
get_solver_epsilon
)
.
def
(
"set_solver_epsilon"
,
&
global_function_search
::
set_solver_epsilon
,
py
::
arg
(
"eps"
))
.
def
(
"get_relative_noise_magnitude"
,
&
global_function_search
::
get_relative_noise_magnitude
)
.
def
(
"set_relative_noise_magnitude"
,
&
global_function_search
::
set_relative_noise_magnitude
,
py
::
arg
(
"value"
))
.
def
(
"get_monte_carlo_upper_bound_sample_num"
,
&
global_function_search
::
get_monte_carlo_upper_bound_sample_num
)
.
def
(
"set_monte_carlo_upper_bound_sample_num"
,
&
global_function_search
::
set_monte_carlo_upper_bound_sample_num
,
py
::
arg
(
"num"
))
;
}
}
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