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2aadaa10
编写于
8月 06, 2020
作者:
B
barriery
提交者:
GitHub
8月 06, 2020
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差异文件
Merge pull request #24 from barrierye/pipeling-log
add log_id to proto; TODO: recompile pdcodegen
上级
777f4dce
3c500fa3
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
27 addition
and
11 deletion
+27
-11
core/general-client/include/general_model.h
core/general-client/include/general_model.h
+4
-2
core/general-client/src/general_model.cpp
core/general-client/src/general_model.cpp
+8
-2
core/general-client/src/pybind_general_model.cpp
core/general-client/src/pybind_general_model.cpp
+8
-4
core/general-server/proto/general_model_service.proto
core/general-server/proto/general_model_service.proto
+1
-0
core/pdcodegen/src/pdcodegen.cpp
core/pdcodegen/src/pdcodegen.cpp
+2
-0
core/sdk-cpp/proto/general_model_service.proto
core/sdk-cpp/proto/general_model_service.proto
+1
-0
python/paddle_serving_client/__init__.py
python/paddle_serving_client/__init__.py
+3
-3
未找到文件。
core/general-client/include/general_model.h
浏览文件 @
2aadaa10
...
...
@@ -227,7 +227,8 @@ class PredictorClient {
const
std
::
vector
<
std
::
vector
<
int
>>&
int_shape
,
const
std
::
vector
<
std
::
string
>&
fetch_name
,
PredictorRes
&
predict_res_batch
,
// NOLINT
const
int
&
pid
);
const
int
&
pid
,
const
uint64_t
log_id
);
int
numpy_predict
(
const
std
::
vector
<
std
::
vector
<
py
::
array_t
<
float
>>>&
float_feed_batch
,
...
...
@@ -238,7 +239,8 @@ class PredictorClient {
const
std
::
vector
<
std
::
vector
<
int
>>&
int_shape
,
const
std
::
vector
<
std
::
string
>&
fetch_name
,
PredictorRes
&
predict_res_batch
,
// NOLINT
const
int
&
pid
);
const
int
&
pid
,
const
uint64_t
log_id
);
private:
PredictorApi
_api
;
...
...
core/general-client/src/general_model.cpp
浏览文件 @
2aadaa10
...
...
@@ -144,7 +144,8 @@ int PredictorClient::batch_predict(
const
std
::
vector
<
std
::
vector
<
int
>>
&
int_shape
,
const
std
::
vector
<
std
::
string
>
&
fetch_name
,
PredictorRes
&
predict_res_batch
,
const
int
&
pid
)
{
const
int
&
pid
,
const
uint64_t
log_id
)
{
int
batch_size
=
std
::
max
(
float_feed_batch
.
size
(),
int_feed_batch
.
size
());
predict_res_batch
.
clear
();
...
...
@@ -162,6 +163,8 @@ int PredictorClient::batch_predict(
VLOG
(
2
)
<<
"int feed name size: "
<<
int_feed_name
.
size
();
VLOG
(
2
)
<<
"max body size : "
<<
brpc
::
fLU64
::
FLAGS_max_body_size
;
Request
req
;
req
.
set_log_id
(
log_id
);
VLOG
(
2
)
<<
"(logid="
<<
req
.
log_id
()
<<
")"
;
for
(
auto
&
name
:
fetch_name
)
{
req
.
add_fetch_var_names
(
name
);
}
...
...
@@ -356,7 +359,8 @@ int PredictorClient::numpy_predict(
const
std
::
vector
<
std
::
vector
<
int
>>
&
int_shape
,
const
std
::
vector
<
std
::
string
>
&
fetch_name
,
PredictorRes
&
predict_res_batch
,
const
int
&
pid
)
{
const
int
&
pid
,
const
uint64_t
log_id
)
{
int
batch_size
=
std
::
max
(
float_feed_batch
.
size
(),
int_feed_batch
.
size
());
VLOG
(
2
)
<<
"batch size: "
<<
batch_size
;
predict_res_batch
.
clear
();
...
...
@@ -374,6 +378,8 @@ int PredictorClient::numpy_predict(
VLOG
(
2
)
<<
"int feed name size: "
<<
int_feed_name
.
size
();
VLOG
(
2
)
<<
"max body size : "
<<
brpc
::
fLU64
::
FLAGS_max_body_size
;
Request
req
;
req
.
set_log_id
(
log_id
);
VLOG
(
2
)
<<
"(logid="
<<
req
.
log_id
()
<<
")"
;
for
(
auto
&
name
:
fetch_name
)
{
req
.
add_fetch_var_names
(
name
);
}
...
...
core/general-client/src/pybind_general_model.cpp
浏览文件 @
2aadaa10
...
...
@@ -107,7 +107,8 @@ PYBIND11_MODULE(serving_client, m) {
const
std
::
vector
<
std
::
vector
<
int
>>
&
int_shape
,
const
std
::
vector
<
std
::
string
>
&
fetch_name
,
PredictorRes
&
predict_res_batch
,
const
int
&
pid
)
{
const
int
&
pid
,
const
uint64_t
log_id
)
{
return
self
.
batch_predict
(
float_feed_batch
,
float_feed_name
,
float_shape
,
...
...
@@ -116,7 +117,8 @@ PYBIND11_MODULE(serving_client, m) {
int_shape
,
fetch_name
,
predict_res_batch
,
pid
);
pid
,
log_id
);
},
py
::
call_guard
<
py
::
gil_scoped_release
>
())
.
def
(
"numpy_predict"
,
...
...
@@ -131,7 +133,8 @@ PYBIND11_MODULE(serving_client, m) {
const
std
::
vector
<
std
::
vector
<
int
>>
&
int_shape
,
const
std
::
vector
<
std
::
string
>
&
fetch_name
,
PredictorRes
&
predict_res_batch
,
const
int
&
pid
)
{
const
int
&
pid
,
const
uint64_t
log_id
)
{
return
self
.
numpy_predict
(
float_feed_batch
,
float_feed_name
,
float_shape
,
...
...
@@ -140,7 +143,8 @@ PYBIND11_MODULE(serving_client, m) {
int_shape
,
fetch_name
,
predict_res_batch
,
pid
);
pid
,
log_id
);
},
py
::
call_guard
<
py
::
gil_scoped_release
>
());
}
...
...
core/general-server/proto/general_model_service.proto
浏览文件 @
2aadaa10
...
...
@@ -37,6 +37,7 @@ message Request {
repeated
FeedInst
insts
=
1
;
repeated
string
fetch_var_names
=
2
;
optional
bool
profile_server
=
3
[
default
=
false
];
required
uint64
log_id
=
4
[
default
=
0
];
};
message
Response
{
...
...
core/pdcodegen/src/pdcodegen.cpp
浏览文件 @
2aadaa10
...
...
@@ -280,6 +280,7 @@ class PdsCodeGenerator : public CodeGenerator {
" baidu::rpc::ClosureGuard done_guard(done);
\n
"
" baidu::rpc::Controller* cntl =
\n
"
" static_cast<baidu::rpc::Controller*>(cntl_base);
\n
"
" cntl->set_log_id(request->log_id());
\n
"
" ::baidu::paddle_serving::predictor::InferService* svr =
\n
"
" "
"::baidu::paddle_serving::predictor::InferServiceManager::instance("
...
...
@@ -317,6 +318,7 @@ class PdsCodeGenerator : public CodeGenerator {
" baidu::rpc::ClosureGuard done_guard(done);
\n
"
" baidu::rpc::Controller* cntl =
\n
"
" static_cast<baidu::rpc::Controller*>(cntl_base);
\n
"
" cntl->set_log_id(request->log_id());
\n
"
" ::baidu::paddle_serving::predictor::InferService* svr =
\n
"
" "
"::baidu::paddle_serving::predictor::InferServiceManager::instance("
...
...
core/sdk-cpp/proto/general_model_service.proto
浏览文件 @
2aadaa10
...
...
@@ -37,6 +37,7 @@ message Request {
repeated
FeedInst
insts
=
1
;
repeated
string
fetch_var_names
=
2
;
optional
bool
profile_server
=
3
[
default
=
false
];
required
uint64
log_id
=
4
[
default
=
0
];
};
message
Response
{
...
...
python/paddle_serving_client/__init__.py
浏览文件 @
2aadaa10
...
...
@@ -233,7 +233,7 @@ class Client(object):
# key))
pass
def
predict
(
self
,
feed
=
None
,
fetch
=
None
,
need_variant_tag
=
False
):
def
predict
(
self
,
feed
=
None
,
fetch
=
None
,
need_variant_tag
=
False
,
log_id
=
0
):
self
.
profile_
.
record
(
'py_prepro_0'
)
if
feed
is
None
or
fetch
is
None
:
...
...
@@ -319,12 +319,12 @@ class Client(object):
res
=
self
.
client_handle_
.
numpy_predict
(
float_slot_batch
,
float_feed_names
,
float_shape
,
int_slot_batch
,
int_feed_names
,
int_shape
,
fetch_names
,
result_batch_handle
,
self
.
pid
)
self
.
pid
,
log_id
)
elif
self
.
has_numpy_input
==
False
:
res
=
self
.
client_handle_
.
batch_predict
(
float_slot_batch
,
float_feed_names
,
float_shape
,
int_slot_batch
,
int_feed_names
,
int_shape
,
fetch_names
,
result_batch_handle
,
self
.
pid
)
self
.
pid
,
log_id
)
else
:
raise
ValueError
(
"Please make sure the inputs are all in list type or all in numpy.array type"
...
...
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