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体验新版 GitCode,发现更多精彩内容 >>
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563421e7
编写于
6月 03, 2021
作者:
J
Jiawei Wang
提交者:
GitHub
6月 03, 2021
浏览文件
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差异文件
Merge branch 'develop' into develop
上级
714c795b
4cd9a949
变更
3
显示空白变更内容
内联
并排
Showing
3 changed file
with
18 addition
and
22 deletion
+18
-22
core/general-client/src/general_model.cpp
core/general-client/src/general_model.cpp
+6
-13
python/paddle_serving_client/client.py
python/paddle_serving_client/client.py
+11
-8
python/paddle_serving_server/rpc_service.py
python/paddle_serving_server/rpc_service.py
+1
-1
未找到文件。
core/general-client/src/general_model.cpp
浏览文件 @
563421e7
...
...
@@ -18,7 +18,6 @@
#include "core/sdk-cpp/include/common.h"
#include "core/sdk-cpp/include/predictor_sdk.h"
#include "core/util/include/timer.h"
DEFINE_bool
(
profile_client
,
false
,
""
);
DEFINE_bool
(
profile_server
,
false
,
""
);
...
...
@@ -46,7 +45,7 @@ void PredictorClient::init_gflags(std::vector<std::string> argv) {
int
argc
=
argv
.
size
();
char
**
arr
=
new
char
*
[
argv
.
size
()];
std
::
string
line
;
for
(
size_t
i
=
0
;
i
<
argv
.
size
();
i
++
)
{
for
(
size_t
i
=
0
;
i
<
argv
.
size
();
++
i
)
{
arr
[
i
]
=
&
argv
[
i
][
0
];
line
+=
argv
[
i
];
line
+=
' '
;
...
...
@@ -189,7 +188,6 @@ int PredictorClient::numpy_predict(
}
int
vec_idx
=
0
;
for
(
int
bi
=
0
;
bi
<
batch_size
;
bi
++
)
{
VLOG
(
2
)
<<
"prepare batch "
<<
bi
;
std
::
vector
<
Tensor
*>
tensor_vec
;
...
...
@@ -220,11 +218,10 @@ int PredictorClient::numpy_predict(
return
-
1
;
}
int
nbytes
=
float_feed
[
vec_idx
].
nbytes
();
// int ndims = float_feed[vec_idx].ndim();
void
*
rawdata_ptr
=
(
void
*
)
float_feed
[
vec_idx
].
data
(
0
);
void
*
rawdata_ptr
=
(
void
*
)(
float_feed
[
vec_idx
].
data
(
0
));
int
total_number
=
float_feed
[
vec_idx
].
size
();
// float* end_ptr = (rawdata_ptr + total_number);
Tensor
*
tensor
=
tensor_vec
[
idx
];
VLOG
(
2
)
<<
"prepare float feed "
<<
name
<<
" shape size "
<<
float_shape
[
vec_idx
].
size
();
for
(
uint32_t
j
=
0
;
j
<
float_shape
[
vec_idx
].
size
();
++
j
)
{
...
...
@@ -234,6 +231,7 @@ int PredictorClient::numpy_predict(
tensor
->
add_lod
(
float_lod_slot_batch
[
vec_idx
][
j
]);
}
tensor
->
set_elem_type
(
P_FLOAT32
);
tensor
->
mutable_float_data
()
->
Resize
(
total_number
,
0
);
memcpy
(
tensor
->
mutable_float_data
()
->
mutable_data
(),
rawdata_ptr
,
nbytes
);
vec_idx
++
;
...
...
@@ -251,7 +249,7 @@ int PredictorClient::numpy_predict(
}
Tensor
*
tensor
=
tensor_vec
[
idx
];
int
nbytes
=
int_feed
[
vec_idx
].
nbytes
();
void
*
rawdata_ptr
=
(
void
*
)
int_feed
[
vec_idx
].
data
(
0
);
void
*
rawdata_ptr
=
(
void
*
)
(
int_feed
[
vec_idx
].
data
(
0
)
);
int
total_number
=
int_feed
[
vec_idx
].
size
();
for
(
uint32_t
j
=
0
;
j
<
int_shape
[
vec_idx
].
size
();
++
j
)
{
...
...
@@ -263,19 +261,14 @@ int PredictorClient::numpy_predict(
tensor
->
set_elem_type
(
_type
[
idx
]);
if
(
_type
[
idx
]
==
P_INT64
)
{
VLOG
(
2
)
<<
"prepare int feed "
<<
name
<<
" shape size "
<<
int_shape
[
vec_idx
].
size
();
tensor
->
mutable_int64_data
()
->
Resize
(
total_number
,
0
);
memcpy
(
tensor
->
mutable_int64_data
()
->
mutable_data
(),
rawdata_ptr
,
nbytes
);
vec_idx
++
;
}
else
{
VLOG
(
2
)
<<
"prepare int32 feed "
<<
name
<<
" shape size "
<<
int_shape
[
vec_idx
].
size
();
tensor
->
mutable_int_data
()
->
Resize
(
total_number
,
0
);
memcpy
(
tensor
->
mutable_int_data
()
->
mutable_data
(),
rawdata_ptr
,
nbytes
);
vec_idx
++
;
}
vec_idx
++
;
}
VLOG
(
2
)
<<
"batch ["
<<
bi
<<
"] "
...
...
python/paddle_serving_client/client.py
浏览文件 @
563421e7
...
...
@@ -356,7 +356,8 @@ class Client(object):
int_feed_names
.
append
(
key
)
shape_lst
=
[]
if
batch
==
False
:
feed_i
[
key
]
=
feed_i
[
key
][
np
.
newaxis
,
:]
feed_i
[
key
]
=
np
.
expand_dims
(
feed_i
[
key
],
0
).
repeat
(
1
,
axis
=
0
)
if
isinstance
(
feed_i
[
key
],
np
.
ndarray
):
shape_lst
.
extend
(
list
(
feed_i
[
key
].
shape
))
int_shape
.
append
(
shape_lst
)
...
...
@@ -369,10 +370,10 @@ class Client(object):
int_lod_slot_batch
.
append
([])
if
isinstance
(
feed_i
[
key
],
np
.
ndarray
):
int_slot
.
append
(
feed_i
[
key
]
)
int_slot
.
append
(
np
.
ascontiguousarray
(
feed_i
[
key
])
)
self
.
has_numpy_input
=
True
else
:
int_slot
.
append
(
feed_i
[
key
]
)
int_slot
.
append
(
np
.
ascontiguousarray
(
feed_i
[
key
])
)
self
.
all_numpy_input
=
False
elif
self
.
feed_types_
[
key
]
in
float_type
:
...
...
@@ -380,7 +381,8 @@ class Client(object):
float_feed_names
.
append
(
key
)
shape_lst
=
[]
if
batch
==
False
:
feed_i
[
key
]
=
feed_i
[
key
][
np
.
newaxis
,
:]
feed_i
[
key
]
=
np
.
expand_dims
(
feed_i
[
key
],
0
).
repeat
(
1
,
axis
=
0
)
if
isinstance
(
feed_i
[
key
],
np
.
ndarray
):
shape_lst
.
extend
(
list
(
feed_i
[
key
].
shape
))
float_shape
.
append
(
shape_lst
)
...
...
@@ -393,10 +395,10 @@ class Client(object):
float_lod_slot_batch
.
append
([])
if
isinstance
(
feed_i
[
key
],
np
.
ndarray
):
float_slot
.
append
(
feed_i
[
key
]
)
float_slot
.
append
(
np
.
ascontiguousarray
(
feed_i
[
key
])
)
self
.
has_numpy_input
=
True
else
:
float_slot
.
append
(
feed_i
[
key
]
)
float_slot
.
append
(
np
.
ascontiguousarray
(
feed_i
[
key
])
)
self
.
all_numpy_input
=
False
#if input is string, feed is not numpy.
elif
self
.
feed_types_
[
key
]
in
string_type
:
...
...
@@ -408,7 +410,7 @@ class Client(object):
key
)])
else
:
string_lod_slot_batch
.
append
([])
string_slot
.
append
(
feed_i
[
key
]
)
string_slot
.
append
(
np
.
ascontiguousarray
(
feed_i
[
key
])
)
self
.
has_numpy_input
=
True
int_slot_batch
.
append
(
int_slot
)
int_lod_slot_batch
.
append
(
int_lod_slot
)
...
...
@@ -626,6 +628,7 @@ class MultiLangClient(object):
raise
Exception
(
"error tensor value type."
)
else
:
raise
Exception
(
"var must be list or ndarray."
)
data
=
np
.
ascontiguousarray
(
data
)
tensor
.
data
=
data
.
tobytes
()
tensor
.
shape
.
extend
(
list
(
var
.
shape
))
if
"{}.lod"
.
format
(
name
)
in
feed
.
keys
():
...
...
@@ -700,7 +703,7 @@ class MultiLangClient(object):
if
batch
is
False
:
for
key
in
feed
:
if
".lod"
not
in
key
:
feed
[
key
]
=
feed
[
key
][
np
.
newaxis
,
:]
feed
[
key
]
=
np
.
expand_dims
(
feed
[
key
],
0
).
repeat
(
1
,
axis
=
0
)
if
not
asyn
:
try
:
self
.
profile_
.
record
(
'py_prepro_0'
)
...
...
python/paddle_serving_server/rpc_service.py
浏览文件 @
563421e7
...
...
@@ -126,7 +126,7 @@ class MultiLangServerServiceServicer(multi_lang_general_model_service_pb2_grpc.
else
:
raise
Exception
(
"error type."
)
data
.
shape
=
list
(
feed_inst
.
tensor_array
[
idx
].
shape
)
feed_dict
[
name
]
=
data
feed_dict
[
name
]
=
np
.
ascontiguousarray
(
data
)
if
len
(
var
.
lod
)
>
0
:
feed_dict
[
"{}.lod"
.
format
(
name
)]
=
var
.
lod
feed_batch
.
append
(
feed_dict
)
...
...
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