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0849586d
编写于
11月 19, 2020
作者:
T
TeslaZhao
提交者:
GitHub
11月 19, 2020
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差异文件
Merge pull request #882 from wangjiawei04/trt
Fix Local Predictor bug
上级
119480ba
3a51d3b3
变更
8
隐藏空白更改
内联
并排
Showing
8 changed file
with
50 addition
and
28 deletion
+50
-28
python/examples/pipeline/imdb_model_ensemble/README_CN.md
python/examples/pipeline/imdb_model_ensemble/README_CN.md
+2
-7
python/examples/pipeline/imdb_model_ensemble/test_pipeline_server.py
...ples/pipeline/imdb_model_ensemble/test_pipeline_server.py
+7
-3
python/examples/pipeline/ocr/local_service_pipeline_server.py
...on/examples/pipeline/ocr/local_service_pipeline_server.py
+11
-9
python/examples/pipeline/ocr/pipeline_http_client.py
python/examples/pipeline/ocr/pipeline_http_client.py
+1
-1
python/examples/pipeline/ocr/pipeline_rpc_client.py
python/examples/pipeline/ocr/pipeline_rpc_client.py
+2
-2
python/examples/pipeline/simple_web_service/config.yml
python/examples/pipeline/simple_web_service/config.yml
+1
-0
python/pipeline/local_service_handler.py
python/pipeline/local_service_handler.py
+11
-1
python/pipeline/operator.py
python/pipeline/operator.py
+15
-5
未找到文件。
python/examples/pipeline/imdb_model_ensemble/README_CN.md
浏览文件 @
0849586d
...
...
@@ -8,8 +8,8 @@ sh get_data.sh
## 启动服务
```
python -m paddle_serving_server
_gpu
.serve --model imdb_cnn_model --port 9292 &> cnn.log &
python -m paddle_serving_server
_gpu
.serve --model imdb_bow_model --port 9393 &> bow.log &
python -m paddle_serving_server.serve --model imdb_cnn_model --port 9292 &> cnn.log &
python -m paddle_serving_server.serve --model imdb_bow_model --port 9393 &> bow.log &
python test_pipeline_server.py &>pipeline.log &
```
...
...
@@ -17,8 +17,3 @@ python test_pipeline_server.py &>pipeline.log &
```
python test_pipeline_client.py
```
## HTTP 测试
```
curl -X POST -k http://localhost:9999/prediction -d '{"key": ["words"], "value": ["i am very sad | 0"]}'
```
python/examples/pipeline/imdb_model_ensemble/test_pipeline_server.py
浏览文件 @
0849586d
...
...
@@ -41,7 +41,9 @@ class ImdbRequestOp(RequestOp):
continue
words
=
request
.
value
[
idx
]
word_ids
,
_
=
self
.
imdb_dataset
.
get_words_and_label
(
words
)
dictdata
[
key
]
=
np
.
array
(
word_ids
)
word_len
=
len
(
word_ids
)
dictdata
[
key
]
=
np
.
array
(
word_ids
).
reshape
(
word_len
,
1
)
dictdata
[
"{}.lod"
.
format
(
key
)]
=
[
0
,
word_len
]
return
dictdata
...
...
@@ -77,16 +79,18 @@ bow_op = Op(name="bow",
server_endpoints
=
[
"127.0.0.1:9393"
],
fetch_list
=
[
"prediction"
],
client_config
=
"imdb_bow_client_conf/serving_client_conf.prototxt"
,
client_type
=
'brpc'
,
concurrency
=
1
,
timeout
=-
1
,
retry
=
1
,
batch_size
=
3
,
auto_batching_timeout
=
1000
)
batch_size
=
1
,
auto_batching_timeout
=
None
)
cnn_op
=
Op
(
name
=
"cnn"
,
input_ops
=
[
read_op
],
server_endpoints
=
[
"127.0.0.1:9292"
],
fetch_list
=
[
"prediction"
],
client_config
=
"imdb_cnn_client_conf/serving_client_conf.prototxt"
,
client_type
=
'brpc'
,
concurrency
=
1
,
timeout
=-
1
,
retry
=
1
,
...
...
python/examples/pipeline/ocr/local_service_pipeline_server.py
浏览文件 @
0849586d
...
...
@@ -12,11 +12,11 @@
# See the License for the specific language governing permissions and
# limitations under the License.
# pylint: disable=doc-string-missing
from
paddle_serving_server
_gpu
.pipeline
import
Op
,
RequestOp
,
ResponseOp
from
paddle_serving_server
_gpu
.pipeline
import
PipelineServer
from
paddle_serving_server
_gpu
.pipeline.proto
import
pipeline_service_pb2
from
paddle_serving_server
_gpu
.pipeline.channel
import
ChannelDataEcode
from
paddle_serving_server
_gpu.pipeline
import
LocalRpc
ServiceHandler
from
paddle_serving_server.pipeline
import
Op
,
RequestOp
,
ResponseOp
from
paddle_serving_server.pipeline
import
PipelineServer
from
paddle_serving_server.pipeline.proto
import
pipeline_service_pb2
from
paddle_serving_server.pipeline.channel
import
ChannelDataEcode
from
paddle_serving_server
.pipeline
import
Local
ServiceHandler
import
numpy
as
np
import
cv2
import
time
...
...
@@ -56,9 +56,11 @@ class DetOp(Op):
data
=
np
.
fromstring
(
data
,
np
.
uint8
)
# Note: class variables(self.var) can only be used in process op mode
self
.
im
=
cv2
.
imdecode
(
data
,
cv2
.
IMREAD_COLOR
)
print
(
self
.
im
)
self
.
ori_h
,
self
.
ori_w
,
_
=
self
.
im
.
shape
det_img
=
self
.
det_preprocess
(
self
.
im
)
_
,
self
.
new_h
,
self
.
new_w
=
det_img
.
shape
print
(
"image"
,
det_img
)
return
{
"image"
:
det_img
}
def
postprocess
(
self
,
input_dicts
,
fetch_dict
):
...
...
@@ -111,11 +113,11 @@ read_op = RequestOp()
det_op
=
DetOp
(
name
=
"det"
,
input_ops
=
[
read_op
],
local_rpc_service_handler
=
LocalRpcServiceHandler
(
client_type
=
"local_predictor"
,
local_service_handler
=
LocalServiceHandler
(
model_config
=
"ocr_det_model"
,
workdir
=
"det_workdir"
,
# defalut: "workdir"
thread_num
=
2
,
# defalut: 2
devices
=
"0"
,
# gpu0. defalut: "" (cpu)
mem_optim
=
True
,
# defalut: True
ir_optim
=
False
,
# defalut: False
available_port_generator
=
None
),
# defalut: None
...
...
@@ -123,8 +125,8 @@ det_op = DetOp(
rec_op
=
RecOp
(
name
=
"rec"
,
input_ops
=
[
det_op
],
local_rpc_service_handler
=
LocalRpcServiceHandler
(
model_config
=
"ocr_rec_model"
),
client_type
=
"local_predictor"
,
local_service_handler
=
LocalServiceHandler
(
model_config
=
"ocr_rec_model"
),
concurrency
=
1
)
response_op
=
ResponseOp
(
input_ops
=
[
rec_op
])
...
...
python/examples/pipeline/ocr/pipeline_http_client.py
浏览文件 @
0849586d
...
...
@@ -11,7 +11,7 @@
# 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.
from
paddle_serving_server
_gpu
.pipeline
import
PipelineClient
from
paddle_serving_server.pipeline
import
PipelineClient
import
numpy
as
np
import
requests
import
json
...
...
python/examples/pipeline/ocr/pipeline_rpc_client.py
浏览文件 @
0849586d
...
...
@@ -11,7 +11,7 @@
# 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.
from
paddle_serving_server
_gpu
.pipeline
import
PipelineClient
from
paddle_serving_server.pipeline
import
PipelineClient
import
numpy
as
np
import
requests
import
json
...
...
@@ -33,6 +33,6 @@ for img_file in os.listdir(test_img_dir):
image_data
=
file
.
read
()
image
=
cv2_to_base64
(
image_data
)
for
i
in
range
(
4
):
for
i
in
range
(
1
):
ret
=
client
.
predict
(
feed_dict
=
{
"image"
:
image
},
fetch
=
[
"res"
])
print
(
ret
)
python/examples/pipeline/simple_web_service/config.yml
浏览文件 @
0849586d
...
...
@@ -7,3 +7,4 @@ op:
local_service_conf
:
model_config
:
uci_housing_model
devices
:
"
"
# "0,1"
client_type
:
brpc
python/pipeline/local_service_handler.py
浏览文件 @
0849586d
...
...
@@ -22,6 +22,7 @@ except ImportError:
from
paddle_serving_server
import
OpMaker
,
OpSeqMaker
,
Server
PACKAGE_VERSION
=
"CPU"
from
.
import
util
from
paddle_serving_app.local_predict
import
LocalPredictor
_LOGGER
=
logging
.
getLogger
(
__name__
)
_workdir_name_gen
=
util
.
NameGenerator
(
"workdir_"
)
...
...
@@ -30,6 +31,7 @@ _workdir_name_gen = util.NameGenerator("workdir_")
class
LocalServiceHandler
(
object
):
def
__init__
(
self
,
model_config
,
client_type
=
'local_predictor'
,
workdir
=
""
,
thread_num
=
2
,
devices
=
""
,
...
...
@@ -58,12 +60,13 @@ class LocalServiceHandler(object):
self
.
_port_list
.
append
(
available_port_generator
.
next
())
_LOGGER
.
info
(
"Model({}) will be launch in gpu device: {}. Port({})"
.
format
(
model_config
,
devices
,
self
.
_port_list
))
self
.
client_type
=
client_type
self
.
_workdir
=
workdir
self
.
_devices
=
devices
self
.
_thread_num
=
thread_num
self
.
_mem_optim
=
mem_optim
self
.
_ir_optim
=
ir_optim
self
.
local_predictor_client
=
None
self
.
_rpc_service_list
=
[]
self
.
_server_pros
=
[]
self
.
_fetch_vars
=
None
...
...
@@ -74,6 +77,13 @@ class LocalServiceHandler(object):
def
get_port_list
(
self
):
return
self
.
_port_list
def
get_client
(
self
):
# for local_predictor_only
if
self
.
local_predictor_client
is
None
:
self
.
local_predictor_client
=
LocalPredictor
()
self
.
local_predictor_client
.
load_model_config
(
"{}"
.
format
(
self
.
_model_config
),
gpu
=
False
,
profile
=
False
)
return
self
.
local_predictor_client
def
get_client_config
(
self
):
return
os
.
path
.
join
(
self
.
_model_config
,
"serving_server_conf.prototxt"
)
...
...
python/pipeline/operator.py
浏览文件 @
0849586d
...
...
@@ -51,6 +51,7 @@ class Op(object):
server_endpoints
=
None
,
fetch_list
=
None
,
client_config
=
None
,
client_type
=
None
,
concurrency
=
None
,
timeout
=
None
,
retry
=
None
,
...
...
@@ -68,6 +69,7 @@ class Op(object):
self
.
_server_endpoints
=
server_endpoints
self
.
_fetch_names
=
fetch_list
self
.
_client_config
=
client_config
self
.
client_type
=
client_type
self
.
_timeout
=
timeout
self
.
_retry
=
max
(
1
,
retry
)
self
.
_batch_size
=
batch_size
...
...
@@ -138,6 +140,7 @@ class Op(object):
if
self
.
client_type
==
"brpc"
or
self
.
client_type
==
"grpc"
:
service_handler
=
local_service_handler
.
LocalServiceHandler
(
model_config
=
model_config
,
client_type
=
self
.
client_type
,
workdir
=
local_service_conf
[
"workdir"
],
thread_num
=
local_service_conf
[
"thread_num"
],
devices
=
local_service_conf
[
"devices"
],
...
...
@@ -155,12 +158,13 @@ class Op(object):
self
.
_fetch_names
=
service_handler
.
get_fetch_list
(
)
elif
self
.
client_type
==
"local_predictor"
:
service_handler
=
local_service_handler
.
Local
Predictor
ServiceHandler
(
service_handler
=
local_service_handler
.
LocalServiceHandler
(
model_config
=
model_config
,
client_type
=
self
.
client_type
,
workdir
=
local_service_conf
[
"workdir"
],
thread_num
=
local_service_conf
[
"thread_num"
],
devices
=
local_service_conf
[
"devices"
])
service_handler
.
prepare_server
()
# get fetch_list
#
service_handler.prepare_server() # get fetch_list
self
.
local_predictor
=
service_handler
.
get_client
()
if
self
.
_client_config
is
None
:
self
.
_client_config
=
service_handler
.
get_client_config
(
...
...
@@ -210,6 +214,9 @@ class Op(object):
" service: local_service_handler is None."
))
return
port
=
self
.
_local_service_handler
.
get_port_list
()
#if self._local_service_handler.client_type == "local_predictor":
# _LOGGER.info("Op({}) use local predictor.")
# return
self
.
_local_service_handler
.
start_server
()
_LOGGER
.
info
(
"Op({}) use local rpc service at port: {}"
.
format
(
self
.
name
,
port
))
...
...
@@ -248,6 +255,9 @@ class Op(object):
else
:
raise
ValueError
(
"Failed to init client: unknow client "
"type {}"
.
format
(
self
.
client_type
))
if
self
.
_fetch_names
is
None
:
self
.
_fetch_names
=
client
.
fetch_names_
_LOGGER
.
info
(
"Op({}) has no fetch name set. So fetch all vars"
)
if
self
.
client_type
!=
"local_predictor"
:
client
.
connect
(
server_endpoints
)
return
client
...
...
@@ -310,7 +320,7 @@ class Op(object):
(
_
,
input_dict
),
=
input_dicts
.
items
()
return
input_dict
def
process
(
self
,
feed_batch
,
fetch_names
,
typical_logid
):
def
process
(
self
,
feed_batch
,
typical_logid
):
err
,
err_info
=
ChannelData
.
check_batch_npdata
(
feed_batch
)
if
err
!=
0
:
_LOGGER
.
critical
(
...
...
@@ -320,13 +330,13 @@ class Op(object):
if
self
.
client_type
==
"local_predictor"
:
call_result
=
self
.
client
.
predict
(
feed
=
feed_batch
[
0
],
fetch
=
fetch_names
,
fetch
=
self
.
_
fetch_names
,
batch
=
True
,
log_id
=
typical_logid
)
else
:
call_result
=
self
.
client
.
predict
(
feed
=
feed_batch
,
fetch
=
fetch_names
,
fetch
=
self
.
_
fetch_names
,
batch
=
True
,
log_id
=
typical_logid
)
if
isinstance
(
self
.
client
,
MultiLangClient
):
...
...
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