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“378dbf7631da3a5297b3e6190de949ad15dcaed3”上不存在“...x/crypto/ssh/git@gitcode.net:diandianxiyu/soar.git”
提交 f233373a 编写于 作者: W wangguibao
浏览文件
操作

Merge branch 'develop' into elastic_ctr

上级 aedfcb6d 47ee6c1a
显示空白变更内容
内联 并排
Showing with 799 addition and 3 deletion
CMakeLists.txt
浏览文件 @ f233373a
...@@ -17,6 +17,7 @@ set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_CURRENT_SOURCE_DIR}/cmake") ...@@ -17,6 +17,7 @@ set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
set(PADDLE_SERVING_SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR}) set(PADDLE_SERVING_SOURCE_DIR ${CMAKE_CURRENT_SOURCE_DIR})
set(PADDLE_SERVING_BINARY_DIR ${CMAKE_CURRENT_BINARY_DIR}) set(PADDLE_SERVING_BINARY_DIR ${CMAKE_CURRENT_BINARY_DIR})
SET(PADDLE_SERVING_INSTALL_DIR ${CMAKE_BINARY_DIR}/output) SET(PADDLE_SERVING_INSTALL_DIR ${CMAKE_BINARY_DIR}/output)
SET(CMAKE_INSTALL_RPATH "\$ORIGIN" "${CMAKE_INSTALL_RPATH}")
include(system) include(system)
......
demo-client/CMakeLists.txt
浏览文件 @ f233373a
...@@ -61,6 +61,12 @@ add_executable(ctr_prediction ...@@ -61,6 +61,12 @@ add_executable(ctr_prediction
${CMAKE_CURRENT_LIST_DIR}/src/ctr_prediction.cpp) ${CMAKE_CURRENT_LIST_DIR}/src/ctr_prediction.cpp)
target_link_libraries(ctr_prediction -Wl,--whole-archive sdk-cpp target_link_libraries(ctr_prediction -Wl,--whole-archive sdk-cpp
-Wl,--no-whole-archive -lpthread -lcrypto -lm -lrt -lssl -ldl -lz) -Wl,--no-whole-archive -lpthread -lcrypto -lm -lrt -lssl -ldl -lz)
add_executable(bert
${CMAKE_CURRENT_LIST_DIR}/src/bert_service.cpp)
target_link_libraries(bert -Wl,--whole-archive sdk-cpp
-Wl,--no-whole-archive -lpthread -lcrypto -lm -lrt -lssl -ldl -lz)
# install # install
install(TARGETS ximage install(TARGETS ximage
RUNTIME DESTINATION RUNTIME DESTINATION
...@@ -128,3 +134,11 @@ install(DIRECTORY ${CMAKE_CURRENT_LIST_DIR}/conf DESTINATION ...@@ -128,3 +134,11 @@ install(DIRECTORY ${CMAKE_CURRENT_LIST_DIR}/conf DESTINATION
${PADDLE_SERVING_INSTALL_DIR}/demo/client/ctr_prediction/) ${PADDLE_SERVING_INSTALL_DIR}/demo/client/ctr_prediction/)
install(DIRECTORY ${CMAKE_CURRENT_LIST_DIR}/data/ctr_prediction DESTINATION install(DIRECTORY ${CMAKE_CURRENT_LIST_DIR}/data/ctr_prediction DESTINATION
${PADDLE_SERVING_INSTALL_DIR}/demo/client/ctr_prediction/data) ${PADDLE_SERVING_INSTALL_DIR}/demo/client/ctr_prediction/data)
install(TARGETS bert
RUNTIME DESTINATION
${PADDLE_SERVING_INSTALL_DIR}/demo/client/bert/bin)
install(DIRECTORY ${CMAKE_CURRENT_LIST_DIR}/conf DESTINATION
${PADDLE_SERVING_INSTALL_DIR}/demo/client/bert/)
install(DIRECTORY ${CMAKE_CURRENT_LIST_DIR}/data/bert DESTINATION
${PADDLE_SERVING_INSTALL_DIR}/demo/client/bert/data)
demo-client/conf/predictors.prototxt
浏览文件 @ f233373a
...@@ -139,3 +139,17 @@ predictors { ...@@ -139,3 +139,17 @@ predictors {
} }
} }
} }
predictors {
name: "bert_service"
service_name: "baidu.paddle_serving.predictor.bert_service.BertService"
endpoint_router: "WeightedRandomRender"
weighted_random_render_conf {
variant_weight_list: "50"
}
variants {
tag: "var1"
naming_conf {
cluster: "list://127.0.0.1:8010"
}
}
}
demo-client/data/bert/demo_wiki_data 0 → 100644
浏览文件 @ f233373a
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101 14680 2339 1253 1280 7959 1137 12770 1142 1214 1137 9468 1324 136 107 107 2630 8147 13280 1161 1129 5358 4105 14051 1467 2875 8991 7979 1279 8483 183 4170 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 146 16445 1138 2673 1114 1139 4113 9367 1123 1268 1107 1115 23609 15074 1187 146 1338 1121 107 107 4477 1128 1400 5871 13303 1176 9367 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 1409 1131 3041 190 1114 1123 1257 1501 2824 1115 7979 106 107 107 181 1306 8057 1186 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 1192 170 1156 1161 1180 1161 1431 1161 3919 16358 1162 111 108 11965 1571 1545 1495 132 111 108 11965 1571 22392 132 107 107 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 8325 139 6194 27400 1732 1249 1116 27453 9705 1161 137 13136 1592 3276 10719 10073 15410 107 107 3073 6052 1566 1115 7979 5155 1146 106 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 137 122 4538 4164 3051 137 21902 6709 3048 19270 1215 1106 3952 1115 7979 1146 107 107 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 158 18901 7979 1279 1129 1176 146 112 182 1139 1319 27189 3840 1324 7979 1128 9562 112 189 8582 1950 1116 111 108 11965 24050 1527 132 111 108 11965 24050 1527 132 107 107 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 137 2198 2249 16470 168 19465 11437 9705 1161 1128 1221 1195 5871 23143 14204 16358 1279 119 107 107 119 119 119 9468 1324 117 146 4932 1185 1440 4488 181 1918 1186 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 27652 146 112 182 2033 1149 1777 5161 119 4302 1133 170 9670 1104 11437 9705 2225 1107 111 1821 1643 132 1149 1777 7237 111 1821 1643 132 14908 7979 1279 1114 6340 4067 9367 1394 9712 119 107 107 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 1188 2762 112 189 176 17643 119 119 119 119 119 1122 112 188 6866 18630 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 146 1156 1676 170 16358 1162 1178 16408 1584 1195 2010 112 189 1920 1115 1195 18661 1107 1296 1168 119 107 107 119 119 119 1725 2049 1103 2398 1107 1103 1148 1282 136 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
101 6819 1423 2762 112 189 1126 9107 1106 1129 170 16358 1162 119 107 107 137 1109 2346 1673 2107 14788 168 14557 1358 107 102 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0;
demo-client/src/bert_service.cpp 0 → 100644
浏览文件 @ f233373a
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// 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 <sys/stat.h>
#include <sys/types.h>
#include <unistd.h>
#include <cstdlib>
#include <fstream>
#include <iostream>
#include <string>
#include <thread> //NOLINT
#include <vector>
#include "sdk-cpp/bert_service.pb.h"
#include "sdk-cpp/include/common.h"
#include "sdk-cpp/include/predictor_sdk.h"
using baidu::paddle_serving::sdk_cpp::Predictor;
using baidu::paddle_serving::sdk_cpp::PredictorApi;
using baidu::paddle_serving::predictor::bert_service::Request;
using baidu::paddle_serving::predictor::bert_service::Response;
using baidu::paddle_serving::predictor::bert_service::BertResInstance;
using baidu::paddle_serving::predictor::bert_service::BertReqInstance;
using baidu::paddle_serving::predictor::bert_service::EmbeddingValues;
extern int batch_size = 1;
extern int max_seq_len = 128;
extern int layer_num = 12;
extern int emb_size = 768;
extern int thread_num = 1;
extern int max_turn = 1000;
std::atomic<int> g_concurrency(0);
std::vector<std::vector<int>> response_time;
std::vector<std::vector<int>> infer_time;
char* data_filename = "./data/bert/demo_wiki_data";
std::vector<std::string> split(const std::string& str,
const std::string& pattern) {
std::vector<std::string> res;
if (str == "") return res;
std::string strs = str + pattern;
size_t pos = strs.find(pattern);
while (pos != strs.npos) {
std::string temp = strs.substr(0, pos);
res.push_back(temp);
strs = strs.substr(pos + 1, strs.size());
pos = strs.find(pattern);
}
return res;
}
int create_req(Request* req,
const std::vector<std::string>& data_list,
int data_index,
int batch_size) {
for (int i = 0; i < batch_size; ++i) {
BertReqInstance* ins = req->add_instances();
if (!ins) {
LOG(ERROR) << "Failed create req instance";
return -1;
}
// add data
// avoid out of boundary
int cur_index = data_index + i;
if (cur_index >= data_list.size()) {
cur_index = cur_index % data_list.size();
}
std::vector<std::string> feature_list = split(data_list[cur_index], ";");
std::vector<std::string> token_list = split(feature_list[0], " ");
std::vector<std::string> seg_list = split(feature_list[1], " ");
std::vector<std::string> pos_list = split(feature_list[2], " ");
for (int fi = 0; fi < max_seq_len; fi++) {
if (std::stoi(token_list[fi]) != 0) {
ins->add_token_ids(std::stoi(token_list[fi]));
ins->add_sentence_type_ids(std::stoi(seg_list[fi]));
ins->add_position_ids(std::stoi(pos_list[fi]));
ins->add_input_masks(1.0);
} else {
ins->add_token_ids(0);
ins->add_sentence_type_ids(0);
ins->add_position_ids(0);
ins->add_input_masks(0.0);
}
}
ins->set_max_seq_len(max_seq_len);
ins->set_emb_size(emb_size);
}
return 0;
}
void print_res(const Request& req,
const Response& res,
std::string route_tag,
uint64_t elapse_ms) {
for (uint32_t ri = 0; ri < res.instances_size(); ri++) {
const BertResInstance& res_ins = res.instances(ri);
std::ostringstream oss;
oss << "[";
for (uint32_t bi = 0; bi < res_ins.instances_size(); bi++) {
const EmbeddingValues& emb_ins = res_ins.instances(bi);
oss << "[";
for (uint32_t ei = 0; ei < emb_ins.values_size(); ei++) {
oss << emb_ins.values(ei) << " ";
}
oss << "],";
}
oss << "]\n";
LOG(INFO) << "Receive : " << oss.str();
}
LOG(INFO) << "Succ call predictor[ctr_prediction_service], the tag is: "
<< route_tag << ", elapse_ms: " << elapse_ms;
}
void thread_worker(PredictorApi* api,
int thread_id,
int batch_size,
int server_concurrency,
const std::vector<std::string>& data_list) {
Request req;
Response res;
api->thrd_initialize();
std::string line;
int turns = 0;
while (turns < max_turn) {
timeval start;
gettimeofday(&start, NULL);
api->thrd_clear();
Predictor* predictor = api->fetch_predictor("bert_service");
if (!predictor) {
LOG(ERROR) << "Failed fetch predictor: bert_service";
return;
}
req.Clear();
res.Clear();
while (g_concurrency.load() >= server_concurrency) {
}
g_concurrency++;
LOG(INFO) << "Current concurrency " << g_concurrency.load();
int data_index = turns * batch_size;
if (create_req(&req, data_list, data_index, batch_size) != 0) {
return;
}
if (predictor->inference(&req, &res) != 0) {
LOG(ERROR) << "failed call predictor with req:" << req.ShortDebugString();
return;
}
timeval end;
gettimeofday(&end, NULL);
uint64_t elapse_ms = (end.tv_sec * 1000 + end.tv_usec / 1000) -
(start.tv_sec * 1000 + start.tv_usec / 1000);
response_time[thread_id].push_back(elapse_ms);
print_res(req, res, predictor->tag(), elapse_ms);
g_concurrency--;
LOG(INFO) << "Done. Current concurrency " << g_concurrency.load();
turns++;
}
api->thrd_finalize();
}
void calc_time(int server_concurrency, int batch_size) {
std::vector<int> time_list;
for (auto a : response_time) {
time_list.insert(time_list.end(), a.begin(), a.end());
}
LOG(INFO) << "Total request : " << (time_list.size());
LOG(INFO) << "Batch size : " << batch_size;
LOG(INFO) << "Max concurrency : " << server_concurrency;
LOG(INFO) << "Max Seq Len : " << max_seq_len;
float total_time = 0;
float max_time = 0;
float min_time = 1000000;
for (int i = 0; i < time_list.size(); ++i) {
total_time += time_list[i];
if (time_list[i] > max_time) max_time = time_list[i];
if (time_list[i] < min_time) min_time = time_list[i];
}
float mean_time = total_time / (time_list.size());
float var_time;
for (int i = 0; i < time_list.size(); ++i) {
var_time += (time_list[i] - mean_time) * (time_list[i] - mean_time);
}
var_time = var_time / time_list.size();
LOG(INFO) << "Total time : " << total_time / server_concurrency
<< " Variance : " << var_time << " Max time : " << max_time
<< " Min time : " << min_time;
float qps = 0.0;
if (total_time > 0)
qps = (time_list.size() * 1000) / (total_time / server_concurrency);
LOG(INFO) << "QPS: " << qps << "/s";
LOG(INFO) << "Latency statistics: ";
sort(time_list.begin(), time_list.end());
int percent_pos_50 = time_list.size() * 0.5;
int percent_pos_80 = time_list.size() * 0.8;
int percent_pos_90 = time_list.size() * 0.9;
int percent_pos_99 = time_list.size() * 0.99;
int percent_pos_999 = time_list.size() * 0.999;
if (time_list.size() != 0) {
LOG(INFO) << "Mean time : " << mean_time;
LOG(INFO) << "50 percent ms: " << time_list[percent_pos_50];
LOG(INFO) << "80 percent ms: " << time_list[percent_pos_80];
LOG(INFO) << "90 percent ms: " << time_list[percent_pos_90];
LOG(INFO) << "99 percent ms: " << time_list[percent_pos_99];
LOG(INFO) << "99.9 percent ms: " << time_list[percent_pos_999];
} else {
LOG(INFO) << "N/A";
LOG(INFO) << "N/A";
LOG(INFO) << "N/A";
LOG(INFO) << "N/A";
LOG(INFO) << "N/A";
LOG(INFO) << "N/A";
}
}
int main(int argc, char** argv) {
PredictorApi api;
if (argc > 1) {
thread_num = std::stoi(argv[1]);
batch_size = std::stoi(argv[2]);
max_seq_len = std::stoi(argv[3]);
}
response_time.resize(thread_num);
int server_concurrency = thread_num;
// log set
#ifdef BCLOUD
logging::LoggingSettings settings;
settings.logging_dest = logging::LOG_TO_FILE;
std::string log_filename(argv[0]);
log_filename = log_filename.substr(log_filename.find_last_of('/') + 1);
settings.log_file = (std::string("./log/") + log_filename + ".log").c_str();
settings.delete_old = logging::DELETE_OLD_LOG_FILE;
logging::InitLogging(settings);
logging::ComlogSinkOptions cso;
cso.process_name = log_filename;
cso.enable_wf_device = true;
logging::ComlogSink::GetInstance()->Setup(&cso);
#else
struct stat st_buf;
int ret = 0;
if ((ret = stat("./log", &st_buf)) != 0) {
mkdir("./log", 0777);
ret = stat("./log", &st_buf);
if (ret != 0) {
LOG(WARNING) << "Log path ./log not exist, and create fail";
return -1;
}
}
FLAGS_log_dir = "./log";
google::InitGoogleLogging(strdup(argv[0]));
FLAGS_logbufsecs = 0;
FLAGS_logbuflevel = -1;
#endif
// predictor conf
if (api.create("./conf", "predictors.prototxt") != 0) {
LOG(ERROR) << "Failed create predictors api!";
return -1;
}
// read data
std::ifstream data_file(data_filename);
if (!data_file) {
std::cout << "read file error \n" << std::endl;
return -1;
}
std::vector<std::string> data_list;
std::string line;
while (getline(data_file, line)) {
data_list.push_back(line);
}
// create threads
std::vector<std::thread*> thread_pool;
for (int i = 0; i < server_concurrency; ++i) {
thread_pool.push_back(new std::thread(thread_worker,
&api,
i,
batch_size,
server_concurrency,
std::ref(data_list)));
}
for (int i = 0; i < server_concurrency; ++i) {
thread_pool[i]->join();
delete thread_pool[i];
}
calc_time(server_concurrency, batch_size);
api.destroy();
return 0;
}
demo-serving/CMakeLists.txt
浏览文件 @ f233373a
...@@ -24,6 +24,18 @@ if (NOT EXISTS ...@@ -24,6 +24,18 @@ if (NOT EXISTS
${CMAKE_CURRENT_LIST_DIR}/data/model/paddle/fluid) ${CMAKE_CURRENT_LIST_DIR}/data/model/paddle/fluid)
endif() endif()
if (NOT EXISTS
${CMAKE_CURRENT_LIST_DIR}/data/model/paddle/fluid/bert_cased_L-12_H-768_A-12)
execute_process(COMMAND wget --no-check-certificate
https://paddle-serving.bj.bcebos.com/data/bert/bert_cased_L-12_H-768_A-12.tar.gz
--output-document
${CMAKE_CURRENT_LIST_DIR}/data/model/paddle/fluid/bert_cased_L-12_H-768_A-12.tar.gz)
execute_process(COMMAND ${CMAKE_COMMAND} -E tar xzf
"${CMAKE_CURRENT_LIST_DIR}/data/model/paddle/fluid/bert_cased_L-12_H-768_A-12.tar.gz"
WORKING_DIRECTORY
${CMAKE_CURRENT_LIST_DIR}/data/model/paddle/fluid)
endif()
include_directories(SYSTEM ${CMAKE_CURRENT_LIST_DIR}/../kvdb/include) include_directories(SYSTEM ${CMAKE_CURRENT_LIST_DIR}/../kvdb/include)
include(op/CMakeLists.txt) include(op/CMakeLists.txt)
...@@ -78,7 +90,7 @@ if (${WITH_MKL}) ...@@ -78,7 +90,7 @@ if (${WITH_MKL})
install(FILES install(FILES
${CMAKE_BINARY_DIR}/third_party/install/Paddle/third_party/install/mklml/lib/libmklml_intel.so ${CMAKE_BINARY_DIR}/third_party/install/Paddle/third_party/install/mklml/lib/libmklml_intel.so
${CMAKE_BINARY_DIR}/third_party/install/Paddle/third_party/install/mklml/lib/libiomp5.so ${CMAKE_BINARY_DIR}/third_party/install/Paddle/third_party/install/mklml/lib/libiomp5.so
${CMAKE_BINARY_DIR}/third_party/install/Paddle/third_party/install/mkldnn/lib/libmkldnn.so ${CMAKE_BINARY_DIR}/third_party/install/Paddle/third_party/install/mkldnn/lib/libmkldnn.so.0
DESTINATION DESTINATION
${PADDLE_SERVING_INSTALL_DIR}/demo/serving/bin) ${PADDLE_SERVING_INSTALL_DIR}/demo/serving/bin)
endif() endif()
demo-serving/conf/model_toolkit.prototxt
浏览文件 @ f233373a
...@@ -35,3 +35,15 @@ engines { ...@@ -35,3 +35,15 @@ engines {
sparse_param_service_type: REMOTE sparse_param_service_type: REMOTE
sparse_param_service_table_name: "test_dict" sparse_param_service_table_name: "test_dict"
} }
engines {
name: "bert"
type: "FLUID_CPU_ANALYSIS_DIR"
reloadable_meta: "./data/model/paddle/fluid_time_file"
reloadable_type: "timestamp_ne"
model_data_path: "./data/model/paddle/fluid/bert_cased_L-12_H-768_A-12"
runtime_thread_num: 0
batch_infer_size: 0
enable_batch_align: 0
enable_memory_optimization: true
}
demo-serving/conf/service.prototxt
浏览文件 @ f233373a
...@@ -21,7 +21,6 @@ services { ...@@ -21,7 +21,6 @@ services {
name: "BuiltinFluidService" name: "BuiltinFluidService"
workflows: "workflow5" workflows: "workflow5"
} }
services { services {
name: "TextClassificationService" name: "TextClassificationService"
workflows: "workflow6" workflows: "workflow6"
...@@ -36,3 +35,7 @@ services { ...@@ -36,3 +35,7 @@ services {
name: "CTRPredictionService" name: "CTRPredictionService"
workflows: "workflow8" workflows: "workflow8"
} }
services {
name: "BertService"
workflows: "workflow9"
}
demo-serving/conf/workflow.prototxt
浏览文件 @ f233373a
...@@ -83,3 +83,12 @@ workflows { ...@@ -83,3 +83,12 @@ workflows {
type: "CTRPredictionOp" type: "CTRPredictionOp"
} }
} }
workflows {
name: "workflow9"
workflow_type: "Sequence"
nodes {
name: "bert_service_op"
type: "BertServiceOp"
}
}
demo-serving/op/bert_service_op.cpp 0 → 100644
浏览文件 @ f233373a
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// 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 "demo-serving/op/bert_service_op.h"
#include <cstdio>
#include <string>
#include "predictor/framework/infer.h"
#include "predictor/framework/memory.h"
namespace baidu {
namespace paddle_serving {
namespace serving {
using baidu::paddle_serving::predictor::MempoolWrapper;
using baidu::paddle_serving::predictor::bert_service::BertResInstance;
using baidu::paddle_serving::predictor::bert_service::Response;
using baidu::paddle_serving::predictor::bert_service::BertReqInstance;
using baidu::paddle_serving::predictor::bert_service::Request;
using baidu::paddle_serving::predictor::bert_service::EmbeddingValues;
int BertServiceOp::inference() {
timeval op_start;
gettimeofday(&op_start, NULL);
const Request *req = dynamic_cast<const Request *>(get_request_message());
TensorVector *in = butil::get_object<TensorVector>();
Response *res = mutable_data<Response>();
uint32_t batch_size = req->instances_size();
if (batch_size <= 0) {
LOG(WARNING) << "No instances need to inference!";
return 0;
}
const int64_t MAX_SEQ_LEN = req->instances(0).max_seq_len();
const int64_t EMB_SIZE = req->instances(0).emb_size();
paddle::PaddleTensor src_ids;
paddle::PaddleTensor pos_ids;
paddle::PaddleTensor seg_ids;
paddle::PaddleTensor input_masks;
src_ids.name = std::string("src_ids");
pos_ids.name = std::string("pos_ids");
seg_ids.name = std::string("sent_ids");
input_masks.name = std::string("input_mask");
src_ids.dtype = paddle::PaddleDType::INT64;
src_ids.shape = {batch_size, MAX_SEQ_LEN, 1};
src_ids.data.Resize(batch_size * MAX_SEQ_LEN * sizeof(int64_t));
pos_ids.dtype = paddle::PaddleDType::INT64;
pos_ids.shape = {batch_size, MAX_SEQ_LEN, 1};
pos_ids.data.Resize(batch_size * MAX_SEQ_LEN * sizeof(int64_t));
seg_ids.dtype = paddle::PaddleDType::INT64;
seg_ids.shape = {batch_size, MAX_SEQ_LEN, 1};
seg_ids.data.Resize(batch_size * MAX_SEQ_LEN * sizeof(int64_t));
input_masks.dtype = paddle::PaddleDType::FLOAT32;
input_masks.shape = {batch_size, MAX_SEQ_LEN, 1};
input_masks.data.Resize(batch_size * MAX_SEQ_LEN * sizeof(float));
std::vector<std::vector<size_t>> lod_set;
lod_set.resize(1);
for (uint32_t i = 0; i < batch_size; i++) {
lod_set[0].push_back(i * MAX_SEQ_LEN);
}
// src_ids.lod = lod_set;
// pos_ids.lod = lod_set;
// seg_ids.lod = lod_set;
// input_masks.lod = lod_set;
uint32_t index = 0;
for (uint32_t i = 0; i < batch_size; i++) {
int64_t *src_data = static_cast<int64_t *>(src_ids.data.data()) + index;
int64_t *pos_data = static_cast<int64_t *>(pos_ids.data.data()) + index;
int64_t *seg_data = static_cast<int64_t *>(seg_ids.data.data()) + index;
float *input_masks_data =
static_cast<float *>(input_masks.data.data()) + index;
const BertReqInstance &req_instance = req->instances(i);
memcpy(src_data,
req_instance.token_ids().data(),
sizeof(int64_t) * MAX_SEQ_LEN);
memcpy(pos_data,
req_instance.position_ids().data(),
sizeof(int64_t) * MAX_SEQ_LEN);
memcpy(seg_data,
req_instance.sentence_type_ids().data(),
sizeof(int64_t) * MAX_SEQ_LEN);
memcpy(input_masks_data,
req_instance.input_masks().data(),
sizeof(float) * MAX_SEQ_LEN);
index += MAX_SEQ_LEN;
}
in->push_back(src_ids);
in->push_back(pos_ids);
in->push_back(seg_ids);
in->push_back(input_masks);
TensorVector *out = butil::get_object<TensorVector>();
if (!out) {
LOG(ERROR) << "Failed get tls output object";
return -1;
}
#if 0 // print request
std::ostringstream oss;
for (int j = 0; j < 3; j++) {
int64_t* example = reinterpret_cast<int64_t*>((*in)[j].data.data());
for (uint32_t i = 0; i < MAX_SEQ_LEN; i++) {
oss << *(example + i) << " ";
}
oss << ";";
}
float* example = reinterpret_cast<float*>((*in)[3].data.data());
for (int i = 0; i < MAX_SEQ_LEN; i++) {
oss << *(example + i) << " ";
}
LOG(INFO) << "msg: " << oss.str();
#endif
timeval infer_start;
gettimeofday(&infer_start, NULL);
if (predictor::InferManager::instance().infer(
BERT_MODEL_NAME, in, out, batch_size)) {
LOG(ERROR) << "Failed do infer in fluid model: " << BERT_MODEL_NAME;
return -1;
}
timeval infer_end;
gettimeofday(&infer_end, NULL);
uint64_t infer_time =
(infer_end.tv_sec * 1000 + infer_end.tv_usec / 1000 -
(infer_start.tv_sec * 1000 + infer_start.tv_usec / 1000));
LOG(INFO) << "batch_size : " << out->at(0).shape[0]
<< " emb_size : " << out->at(0).shape[1];
float *out_data = reinterpret_cast<float *>(out->at(0).data.data());
for (uint32_t bi = 0; bi < batch_size; bi++) {
BertResInstance *res_instance = res->add_instances();
for (uint32_t si = 0; si < 1; si++) {
EmbeddingValues *emb_instance = res_instance->add_instances();
for (uint32_t ei = 0; ei < EMB_SIZE; ei++) {
uint32_t index = bi * EMB_SIZE + ei;
emb_instance->add_values(out_data[index]);
}
}
}
timeval op_end;
gettimeofday(&op_end, NULL);
uint64_t op_time = (op_end.tv_sec * 1000 + op_end.tv_usec / 1000 -
(op_start.tv_sec * 1000 + op_start.tv_usec / 1000));
res->set_op_time(op_time);
res->set_infer_time(infer_time);
for (size_t i = 0; i < in->size(); ++i) {
(*in)[i].shape.clear();
}
in->clear();
butil::return_object<TensorVector>(in);
for (size_t i = 0; i < out->size(); ++i) {
(*out)[i].shape.clear();
}
out->clear();
butil::return_object<TensorVector>(out);
return 0;
}
DEFINE_OP(BertServiceOp);
} // namespace serving
} // namespace paddle_serving
} // namespace baidu
demo-serving/op/bert_service_op.h 0 → 100644
浏览文件 @ f233373a
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// 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.
#pragma once
#include <vector>
#ifdef BCLOUD
#ifdef WITH_GPU
#include "paddle/paddle_inference_api.h"
#else
#include "paddle/fluid/inference/api/paddle_inference_api.h"
#endif
#else
#include "paddle_inference_api.h" // NOLINT
#endif
#include "demo-serving/bert_service.pb.h"
#include <sys/time.h>
namespace baidu {
namespace paddle_serving {
namespace serving {
static const char* BERT_MODEL_NAME = "bert";
class BertServiceOp
: public baidu::paddle_serving::predictor::OpWithChannel<
baidu::paddle_serving::predictor::bert_service::Response> {
public:
typedef std::vector<paddle::PaddleTensor> TensorVector;
DECLARE_OP(BertServiceOp);
int inference();
};
} // namespace serving
} // namespace paddle_serving
} // namespace baidu
demo-serving/proto/CMakeLists.txt
浏览文件 @ f233373a
...@@ -7,6 +7,7 @@ LIST(APPEND protofiles ...@@ -7,6 +7,7 @@ LIST(APPEND protofiles
${CMAKE_CURRENT_LIST_DIR}/int64tensor_service.proto ${CMAKE_CURRENT_LIST_DIR}/int64tensor_service.proto
${CMAKE_CURRENT_LIST_DIR}/text_classification.proto ${CMAKE_CURRENT_LIST_DIR}/text_classification.proto
${CMAKE_CURRENT_LIST_DIR}/ctr_prediction.proto ${CMAKE_CURRENT_LIST_DIR}/ctr_prediction.proto
${CMAKE_CURRENT_LIST_DIR}/bert_service.proto
) )
PROTOBUF_GENERATE_SERVING_CPP(TRUE PROTO_SRCS PROTO_HDRS ${protofiles}) PROTOBUF_GENERATE_SERVING_CPP(TRUE PROTO_SRCS PROTO_HDRS ${protofiles})
......
demo-serving/proto/bert_service.proto 0 → 100644
浏览文件 @ f233373a
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// 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.
syntax = "proto2";
import "pds_option.proto";
import "builtin_format.proto";
package baidu.paddle_serving.predictor.bert_service;
option cc_generic_services = true;
message BertReqInstance {
repeated int64 token_ids = 1;
repeated int64 sentence_type_ids = 2;
repeated int64 position_ids = 3;
repeated float input_masks = 4;
optional int64 max_seq_len = 5;
optional int64 emb_size = 6;
};
message Request { repeated BertReqInstance instances = 1; };
message EmbeddingValues { repeated float values = 1; };
message BertResInstance { repeated EmbeddingValues instances = 1; };
message Response {
repeated BertResInstance instances = 1;
optional int64 op_time = 2;
optional int64 infer_time = 3;
};
service BertService {
rpc inference(Request) returns (Response);
rpc debug(Request) returns (Response);
option (pds.options).generate_impl = true;
};
inferencer-fluid-gpu/include/fluid_gpu_engine.h
浏览文件 @ f233373a
...@@ -17,7 +17,9 @@ ...@@ -17,7 +17,9 @@
#include <pthread.h> #include <pthread.h>
#include <fstream> #include <fstream>
#include <map> #include <map>
#include <memory>
#include <string> #include <string>
#include <utility>
#include <vector> #include <vector>
#include "configure/include/configure_parser.h" #include "configure/include/configure_parser.h"
#include "configure/inferencer_configure.pb.h" #include "configure/inferencer_configure.pb.h"
......
sdk-cpp/proto/bert_service.proto 0 → 100644
浏览文件 @ f233373a
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// 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.
syntax = "proto2";
import "pds_option.proto";
import "builtin_format.proto";
package baidu.paddle_serving.predictor.bert_service;
option cc_generic_services = true;
message BertReqInstance {
repeated int64 token_ids = 1;
repeated int64 sentence_type_ids = 2;
repeated int64 position_ids = 3;
repeated float input_masks = 4;
optional int64 max_seq_len = 5;
optional int64 emb_size = 6;
};
message Request { repeated BertReqInstance instances = 1; };
message EmbeddingValues { repeated float values = 1; };
message BertResInstance { repeated EmbeddingValues instances = 1; };
message Response {
repeated BertResInstance instances = 1;
optional int64 op_time = 2;
optional int64 infer_time = 3;
};
service BertService {
rpc inference(Request) returns (Response);
rpc debug(Request) returns (Response);
option (pds.options).generate_stub = true;
};
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