Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into dev_add_tensor_copy

.gitignore

@@ -22,3 +22,6 @@ cmake-build-*
 
 # generated while compiling
 python/paddle/v2/framework/core.so
+CMakeFiles
+cmake_install.cmake
+

CMakeLists.txt

@@ -28,7 +28,9 @@ if(NOT CMAKE_CROSSCOMPILING)
 endif(NOT CMAKE_CROSSCOMPILING)
 find_package(Git REQUIRED)
 find_package(Threads REQUIRED)
-find_package(Boost QUIET)
+if(NOT ANDROID)
+    find_package(Boost QUIET)
+endif()
 
 include(simd)
 
@@ -140,6 +142,10 @@ endif(USE_NNPACK)
 
 add_subdirectory(proto)
 
+# "add_subdirectory(go)" should be placed after the following loine,
+# because it depends on paddle/optimizer.
+add_subdirectory(paddle/optimizer)
+
 # "add_subdirectory(paddle)" and "add_subdirectory(python)" should be
 # placed after this block, because they depends on it.
 if(WITH_GOLANG)
@@ -147,7 +153,9 @@ if(WITH_GOLANG)
 endif(WITH_GOLANG)
 
 add_subdirectory(paddle)
-add_subdirectory(python)
+if(WITH_PYTHON)
+  add_subdirectory(python)
+endif()
 if(WITH_DOC)
     add_subdirectory(doc)
 endif()

cmake/cross_compiling/android.cmake

@@ -106,6 +106,9 @@ IF("${CMAKE_VERSION}" VERSION_LESS "3.7.0")
                 SET(CMAKE_SYSTEM_PROCESSOR armv7-a)
             ENDIF()
         ENDIF()
+        IF(ANDROID_ABI STREQUAL "arm64-v8a")
+            SET(ANDROID_TOOLCHAIN_NAME aarch64-linux-android)
+        ENDIF()
         SET(ANDROID_TOOLCHAIN_PREFIX "${ANDROID_TOOLCHAIN_ROOT}/bin/${ANDROID_TOOLCHAIN_NAME}-")
     ENDIF()
 
@@ -162,6 +165,10 @@ IF("${CMAKE_VERSION}" VERSION_LESS "3.7.0")
         ENDIF()
     ENDIF()
 
+    IF(ANDROID_ABI STREQUAL "arm64-v8a")
+      LIST(APPEND ANDROID_COMPILER_FLAGS -march=armv8-a)
+    ENDIF()
+
     STRING(REPLACE ";" " " ANDROID_COMPILER_FLAGS "${ANDROID_COMPILER_FLAGS}")
     STRING(REPLACE ";" " " ANDROID_LINKER_FLAGS "${ANDROID_LINKER_FLAGS}")
 

cmake/external/glog.cmake

@@ -52,6 +52,7 @@ ExternalProject_Add(
 
 ADD_LIBRARY(glog STATIC IMPORTED GLOBAL)
 SET_PROPERTY(TARGET glog PROPERTY IMPORTED_LOCATION ${GLOG_LIBRARIES})
-ADD_DEPENDENCIES(glog extern_glog)
+ADD_DEPENDENCIES(glog extern_glog gflags)
+LINK_LIBRARIES(glog gflags)
 
 LIST(APPEND external_project_dependencies glog)

cmake/external/openblas.cmake

@@ -32,7 +32,12 @@ IF(NOT ${CBLAS_FOUND})
             # arm_soft_fp_abi branch of OpenBLAS to support softfp
             #   https://github.com/xianyi/OpenBLAS/tree/arm_soft_fp_abi
             SET(OPENBLAS_COMMIT "b5c96fcfcdc82945502a2303116a64d89985daf5")
-            SET(OPTIONAL_ARGS HOSTCC=${HOST_C_COMPILER} TARGET=ARMV7 ARM_SOFTFP_ABI=1 USE_THREAD=0)
+            IF(ANDROID_ABI MATCHES "^armeabi(-v7a)?$")
+                SET(TARGET "ARMV7")
+            ELSEIF(ANDROID_ABI STREQUAL "arm64-v8a")
+                SET(TARGET "ARMV8")
+            ENDIF()
+            SET(OPTIONAL_ARGS HOSTCC=${HOST_C_COMPILER} TARGET=${TARGET} ARM_SOFTFP_ABI=1 USE_THREAD=0)
         ELSEIF(RPI)
             # use hardfp
             SET(OPENBLAS_COMMIT "v0.2.19")

cmake/generic.cmake

@@ -90,11 +90,11 @@
 # including binary directory for generated headers.
 include_directories(${CMAKE_CURRENT_BINARY_DIR})
 
-if(NOT APPLE)
+if(NOT APPLE AND NOT ANDROID)
     find_package(Threads REQUIRED)
     link_libraries(${CMAKE_THREAD_LIBS_INIT})
-    set(CMAKE_CXX_LINK_EXECUTABLE "${CMAKE_CXX_LINK_EXECUTABLE} -ldl")
-endif(NOT APPLE)
+    set(CMAKE_CXX_LINK_EXECUTABLE "${CMAKE_CXX_LINK_EXECUTABLE} -ldl -lrt")
+endif(NOT APPLE AND NOT ANDROID)
 
 function(merge_static_libs TARGET_NAME)
   set(libs ${ARGN})
@@ -301,7 +301,7 @@ function(go_library TARGET_NAME)
 
   file(GLOB GO_SOURCE RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "*.go")
   string(REPLACE "${PADDLE_GO_PATH}/" "" CMAKE_CURRENT_SOURCE_REL_DIR ${CMAKE_CURRENT_SOURCE_DIR})
-  # FIXME: link path
+
   add_custom_command(TARGET ${TARGET_NAME} POST_BUILD
     COMMAND rm "${${TARGET_NAME}_LIB_PATH}"
     # Golang build source code
@@ -320,14 +320,11 @@ function(go_binary TARGET_NAME)
   cmake_parse_arguments(go_binary "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
   string(REPLACE "${PADDLE_GO_PATH}/" "" CMAKE_CURRENT_SOURCE_REL_DIR ${CMAKE_CURRENT_SOURCE_DIR})
 
-  # FIXME: link path
   add_custom_command(OUTPUT ${TARGET_NAME}_timestamp
-      COMMAND env LIBRARY_PATH=${CMAKE_BINARY_DIR}/go/pserver/client/c/:$ENV{LIBRARY_PATH}
-      GOPATH=${GOPATH} ${CMAKE_Go_COMPILER} build
+    COMMAND env GOPATH=${GOPATH} ${CMAKE_Go_COMPILER} build
     -o "${CMAKE_CURRENT_BINARY_DIR}/${TARGET_NAME}"
     "./${CMAKE_CURRENT_SOURCE_REL_DIR}/${go_binary_SRCS}"
     WORKING_DIRECTORY "${PADDLE_IN_GOPATH}/go")
-  # TODO: don't know what ${TARGET_NAME}_link does
   add_custom_target(${TARGET_NAME} ALL DEPENDS go_vendor ${TARGET_NAME}_timestamp ${go_binary_DEPS})
   install(PROGRAMS ${CMAKE_CURRENT_BINARY_DIR}/${TARGET_NAME} DESTINATION bin)
 endfunction(go_binary)
@@ -335,15 +332,18 @@ endfunction(go_binary)
 function(go_test TARGET_NAME)
   set(options OPTIONAL)
   set(oneValueArgs "")
-  set(multiValueArgs SRCS DEPS)
+  set(multiValueArgs DEPS)
   cmake_parse_arguments(go_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
-  add_custom_command(OUTPUT ${TARGET_NAME}_timestamp
+  string(REPLACE "${PADDLE_GO_PATH}" "" CMAKE_CURRENT_SOURCE_REL_DIR ${CMAKE_CURRENT_SOURCE_DIR})
+  add_custom_target(${TARGET_NAME} ALL DEPENDS go_vendor ${go_test_DEPS})
+  add_custom_command(TARGET ${TARGET_NAME} POST_BUILD
     COMMAND env GOPATH=${GOPATH} ${CMAKE_Go_COMPILER} test
     -c -o "${CMAKE_CURRENT_BINARY_DIR}/${TARGET_NAME}"
-    ${go_test_SRCS}
+    ".${CMAKE_CURRENT_SOURCE_REL_DIR}"
+    WORKING_DIRECTORY "${PADDLE_IN_GOPATH}/go")
+  add_test(NAME ${TARGET_NAME}
+    COMMAND ${CMAKE_CURRENT_BINARY_DIR}/${TARGET_NAME}
     WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR})
-  add_custom_target(${TARGET_NAME} ALL DEPENDS ${TARGET_NAME}_timestamp ${go_test_DEPS})
-  add_test(${TARGET_NAME} ${CMAKE_CURRENT_BINARY_DIR}/${TARGET_NAME})
 endfunction(go_test)
 
 function(proto_library TARGET_NAME)

go/CMakeLists.txt

@@ -17,3 +17,7 @@ add_subdirectory(pserver/client/c)
 add_subdirectory(cmd/pserver)
 add_subdirectory(cmd/master)
 add_subdirectory(master/c)
+add_subdirectory(master)
+add_subdirectory(pserver)
+add_subdirectory(pserver/client)
+add_subdirectory(utils/networkhelper)

go/cmd/master/CMakeLists.txt

@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-go_binary(master SRC master.go DEPS paddle_go_optimizer)
+go_binary(master SRC master.go)

go/cmd/pserver/pserver.go

@@ -8,6 +8,7 @@ import (
 	"time"
 
 	"github.com/namsral/flag"
+	"github.com/topicai/candy"
 
 	"github.com/PaddlePaddle/Paddle/go/pserver"
 	log "github.com/sirupsen/logrus"
@@ -18,53 +19,47 @@ func main() {
 	index := flag.Int("index", -1, "index of this pserver, should be larger or equal than 0")
 	etcdEndpoint := flag.String("etcd-endpoint", "http://127.0.0.1:2379",
 		"comma separated endpoint string for pserver to connect to etcd")
-	etcdTimeout := flag.Int("etcd-timeout", 5, "timeout for etcd calls")
+	etcdTimeout := flag.Duration("etcd-timeout", 5*time.Second, "timeout for etcd calls")
 	numPservers := flag.Int("num-pservers", 1, "total pserver count in a training job")
 	checkpointPath := flag.String("checkpoint-path", "/checkpoints/", "save checkpoint path")
-	checkpointInterval := flag.Int("checkpoint-interval", 600, "save checkpoint per interval seconds")
+	checkpointInterval := flag.Duration("checkpoint-interval", 600*time.Second, "save checkpoint per interval seconds")
 	logLevel := flag.String("log-level", "info",
 		"log level, possible values: debug, info, warning, error, fatal, panic")
 	flag.Parse()
 
 	level, err := log.ParseLevel(*logLevel)
-	if err != nil {
-		panic(err)
-	}
+	candy.Must(err)
+
 	log.SetLevel(level)
 
 	var idx int
+
 	var cp pserver.Checkpoint
 	var e *pserver.EtcdClient
 	if *index >= 0 {
 		idx = *index
 	} else {
-		timeout := time.Second * time.Duration((*etcdTimeout))
-		e = pserver.NewEtcdClient(*etcdEndpoint, *numPservers, timeout)
+		e = pserver.NewEtcdClient(*etcdEndpoint, *numPservers, *etcdTimeout)
 		idx, err = e.Register()
+		candy.Must(err)
+
+		cp, err = pserver.NewCheckpointFromFile(*checkpointPath, idx, e)
 		if err != nil {
-			panic(err)
+			log.Errorf("Fetch checkpoint failed, %s", err)
 		}
 	}
 
 	s, err := pserver.NewService(idx, *checkpointInterval, *checkpointPath, e, cp)
-	if err != nil {
-		panic(err)
-	}
+	candy.Must(err)
+
 	err = rpc.Register(s)
-	if err != nil {
-		panic(err)
-	}
+	candy.Must(err)
 
 	rpc.HandleHTTP()
 	l, err := net.Listen("tcp", ":"+strconv.Itoa(*port))
-	if err != nil {
-		panic(err)
-	}
+	candy.Must(err)
 
 	log.Infof("start pserver at port %d", *port)
 	err = http.Serve(l, nil)
-
-	if err != nil {
-		panic(err)
-	}
+	candy.Must(err)
 }

go/glide.lock

-hash: b8f18ce6784bd3fadd9fed0b8443e7b658234ea785ae1f220723ae2c1f652aa7
-updated: 2017-06-27T14:05:48.925262819+08:00
+hash: a8faea3a363468a88917ddeb3b1c9ea36886fb2c622acbad42604fa9cb4d3855
+updated: 2017-07-11T10:04:40.786745417+08:00
 imports:
 - name: github.com/coreos/etcd
-  version: 61fc123e7a8b14a0a258aa3f5c4159861b1ec2e7
+  version: cb2a496c4ddd1c87a9f280e116649b599999ec79
   subpackages:
   - auth/authpb
   - clientv3
@@ -22,7 +22,9 @@ imports:
 - name: github.com/PaddlePaddle/recordio
   version: edfb82af0739c84f241c87390ec5649c7b28c129
 - name: github.com/sirupsen/logrus
-  version: 202f25545ea4cf9b191ff7f846df5d87c9382c2b
+  version: 7f976d3a76720c4c27af2ba716b85d2e0a7e38b1
+- name: github.com/topicai/candy
+  version: 1b9030d056fa9f8c4b1f9c91b52fe4b8ab4cd8cc
 - name: golang.org/x/net
   version: c8c74377599bd978aee1cf3b9b63a8634051cec2
   subpackages:
@@ -34,11 +36,11 @@ imports:
   - lex/httplex
   - trace
 - name: golang.org/x/sys
-  version: f7928cfef4d09d1b080aa2b6fd3ca9ba1567c733
+  version: abf9c25f54453410d0c6668e519582a9e1115027
   subpackages:
   - unix
 - name: golang.org/x/text
-  version: 4e9ab9ee170f2a39bd66c92b3e0a47ff47a4bc77
+  version: cfdf022e86b4ecfb646e1efbd7db175dd623a8fa
   subpackages:
   - secure/bidirule
   - transform

go/glide.yaml

@@ -10,3 +10,4 @@ import:
   version: ^1.7.4-pre
 - package: github.com/sirupsen/logrus
   version: ^1.0.0
+- package: github.com/topicai/candy

go/master/CMakeLists.txt

+if(WITH_TESTING)
+  go_test(master_test)
+endif()

go/pserver/CMakeLists.txt

+if(WITH_TESTING)
+  go_test(pserver_test DEPS paddle_go_optimizer)
+endif()

go/pserver/client/CMakeLists.txt

+if(WITH_TESTING)
+  go_test(pserver_client_test DEPS paddle_go_optimizer)
+endif()

go/pserver/client/c/.gitignore

+libpaddle_go_optimizer.a

go/pserver/client/c/CMakeLists.txt

 cc_library(paddle_go_optimizer DEPS paddle_optimizer paddle_proto glog gflags protobuf)
 target_link_libraries(paddle_go_optimizer stdc++ m)
+
+# Copy library to the required place.
+# See: go/pserver/optimizer.go:
+# // #cgo LDFLAGS: ${SRCDIR}/client/c/libpaddle_go_optimizer.a -lstdc++ -lm
+add_custom_command(TARGET paddle_go_optimizer POST_BUILD
+  COMMAND cp "${CMAKE_CURRENT_BINARY_DIR}/libpaddle_go_optimizer.a" "${CMAKE_CURRENT_SOURCE_DIR}"
+  )
+
 go_library(paddle_pserver_cclient STATIC DEPS paddle_go_optimizer)
 if(WITH_TESTING)
   # FIXME: this test requires pserver which is not managed by the test

go/pserver/etcd_client.go

@@ -16,7 +16,7 @@ import (
 const (
 	// PsDesired is etcd path for store desired pserver count
 	PsDesired = "/ps_desired"
-	// PsAddr is the base dir for pserver to store their addr
+	// PsPath is the base dir for pserver to store their addr
 	PsPath = "/ps/"
 	// PsCheckpoint is the etcd path for store checkpoints information
 	PsCheckpoint = "/checkpoints/"
@@ -189,9 +189,25 @@ func (e *EtcdClient) registerPserverEtcd(ctx context.Context) (int, error) {
 	return idx, nil
 }
 
+// GetKey gets the value by the specified key
+func (e *EtcdClient) GetKey(key string, timeout time.Duration) ([]byte, error) {
+	ctx, cancel := context.WithTimeout(context.Background(), timeout)
+	resp, err := e.etcdClient.Get(ctx, key)
+	cancel()
+	if err != nil {
+		return []byte{}, err
+	}
+	kvs := resp.Kvs
+	if len(kvs) == 0 {
+		return []byte{}, nil
+	}
+	v := kvs[0].Value
+	return v, nil
+}
+
 // PutKey put into etcd with value by key specified
-func (e *EtcdClient) PutKey(key string, value []byte, timeout int) error {
-	ctx, cancel := context.WithTimeout(context.Background(), time.Second*time.Duration(timeout))
+func (e *EtcdClient) PutKey(key string, value []byte, timeout time.Duration) error {
+	ctx, cancel := context.WithTimeout(context.Background(), timeout)
 	_, err := e.etcdClient.Put(ctx, key, string(value))
 	cancel()
 	if err != nil {

go/pserver/optimizer.go

 package pserver
 
 // #cgo CFLAGS: -I ../../
-// //FIXME: ldflags contain "build" path
-// #cgo LDFLAGS: ${SRCDIR}/../../build/go/pserver/client/c/libpaddle_go_optimizer.a -lstdc++ -lm
+// #cgo LDFLAGS: ${SRCDIR}/client/c/libpaddle_go_optimizer.a -lstdc++ -lm
 // #include "paddle/optimizer/optimizer.h"
 // #include <stdlib.h>
 // #include <string.h>

go/pserver/service.go

@@ -9,6 +9,7 @@ import (
 	"encoding/json"
 	"errors"
 	"fmt"
+	"io/ioutil"
 	"os"
 	"path/filepath"
 	"strconv"
@@ -21,14 +22,14 @@ import (
 // ElementType is the type of elements of a Parameter.
 type ElementType int
 
+// RPC error message.
 const (
-	// AlreadyInitialized is true if pserver is initialized
 	AlreadyInitialized  = "pserver already initialized"
-	// Uninitialized is true if pserver not fully initialized
 	Uninitialized       = "pserver not fully initialized"
+	CheckpointMD5Failed = "checkpoint file MD5 validation failed"
 )
 
-// Supported element types
+// Supported element types.
 const (
 	Int32 ElementType = iota
 	UInt32
@@ -51,21 +52,15 @@ type ParameterWithConfig struct {
 	Config []byte // parameter configuration in Proto Buffer format
 }
 
-// ParameterCheckpoint is Parameter and State checkpoint
-type ParameterCheckpoint struct {
-	ParamConfig ParameterWithConfig
-	State       []byte
-}
-
-// checkpoint signature
+// checkpointMeta saves checkpoint metadata
 type checkpointMeta struct {
 	UUID      string `json:"uuid"`
-	Md5sum    string `json:"md5sum"`
-	Timestamp string `json:"timestamp"`
+	MD5       string `json:"md5"`
+	Timestamp int64  `json:"timestamp"`
 }
 
 // Checkpoint is the pserver shard persist in file
-type Checkpoint []ParameterCheckpoint
+type Checkpoint []parameterCheckpoint
 
 // Gradient is the gradient of the parameter.
 type Gradient Parameter
@@ -81,12 +76,53 @@ type Service struct {
 	optMap             map[string]*optimizer
 }
 
+// parameterCheckpoint saves parameter checkpoint
+type parameterCheckpoint struct {
+	ParameterWithConfig
+	State []byte
+}
+
+// NewCheckpointFromFile loads parameters and state from checkpoint file
+func NewCheckpointFromFile(cpPath string, idx int, e *EtcdClient) (Checkpoint, error) {
+	v, err := e.GetKey(PsPath+string(idx), 3*time.Second)
+	if err != nil {
+		return nil, err
+	}
+
+	var cpMeta checkpointMeta
+	if err = json.Unmarshal(v, &cpMeta); err != nil {
+		return nil, err
+	}
+
+	fn := filepath.Join(cpPath, cpMeta.UUID)
+	if _, err = os.Stat(fn); os.IsNotExist(err) {
+		return nil, err
+	}
+	content, err := ioutil.ReadFile(fn)
+	if err != nil {
+		return nil, err
+	}
+
+	h := md5.New()
+	md5 := hex.EncodeToString(h.Sum(content))
+	if md5 != cpMeta.MD5 {
+		return nil, errors.New(CheckpointMD5Failed)
+	}
+
+	dec := gob.NewDecoder(bytes.NewReader(content))
+	cp := Checkpoint{}
+	if err = dec.Decode(cp); err != nil {
+		return nil, err
+	}
+	return cp, nil
+}
+
 // NewService creates a new service, will bypass etcd registration if no
-// endpoints specified.
-func NewService(idx int, seconds int, path string, client *EtcdClient, cp Checkpoint) (*Service, error) {
+// endpoints specified. It will recovery from checkpoint file if a exists a specified checkpoint.
+func NewService(idx int, interval time.Duration, path string, client *EtcdClient, cp Checkpoint) (*Service, error) {
 	s := &Service{
 		idx:                idx,
-		checkpointInterval: time.Second * time.Duration(seconds),
+		checkpointInterval: interval,
 		checkpointPath:     path,
 		client:             client,
 	}
@@ -95,9 +131,11 @@ func NewService(idx int, seconds int, path string, client *EtcdClient, cp Checkp
 
 	if cp != nil {
 		for _, item := range cp {
-			p := item.ParamConfig
-			st := item.State
-			s.optMap[p.Param.Name] = newOptimizer(p, st)
+			p := ParameterWithConfig{
+				Param:  item.Param,
+				Config: item.Config,
+			}
+			s.optMap[p.Param.Name] = newOptimizer(p, item.State)
 		}
 	}
 	return s, nil
@@ -186,13 +224,13 @@ func (s *Service) doCheckpoint() error {
 	s.mu.Lock()
 	defer s.mu.Unlock()
 
-	cp := make([]ParameterCheckpoint, 0, len(s.optMap))
+	cp := make([]parameterCheckpoint, len(s.optMap))
 	index := 0
 	for name, opt := range s.optMap {
-		var pc ParameterCheckpoint
-		pc.ParamConfig.Param.Name = name
-		pc.ParamConfig.Param.ElementType = opt.elementType
-		pc.ParamConfig.Param.Content = opt.GetWeights()
+		var pc parameterCheckpoint
+		pc.Param.Name = name
+		pc.Param.ElementType = opt.elementType
+		pc.Param.Content = opt.GetWeights()
 		pc.State = opt.GetStates()
 		cp[index] = pc
 		index++
@@ -206,12 +244,12 @@ func (s *Service) doCheckpoint() error {
 
 	cpMeta := checkpointMeta{}
 	cpMeta.UUID = s.checkpointPath + strconv.Itoa(s.idx)
-	cpMeta.Timestamp = time.Now().String()
+	cpMeta.Timestamp = time.Now().UnixNano()
 	h := md5.New()
-	cpMeta.Md5sum = hex.EncodeToString(h.Sum(buf.Bytes()))
+	cpMeta.MD5 = hex.EncodeToString(h.Sum(buf.Bytes()))
 
 	cpMetajson, _ := json.Marshal(cpMeta)
-	err = s.client.PutKey(filepath.Join(PsCheckpoint, strconv.Itoa(s.idx)), cpMetajson, 3)
+	err = s.client.PutKey(filepath.Join(PsCheckpoint, strconv.Itoa(s.idx)), cpMetajson, 3*time.Second)
 	if err != nil {
 		return err
 	}
@@ -219,8 +257,12 @@ func (s *Service) doCheckpoint() error {
 		log.Info("checkpoint does not exists.")
 	} else {
 		err = os.Remove(cpMeta.UUID)
+		if err != nil {
+			log.Infof("Removing checkpoint %s failed", cpMeta.UUID)
+		} else {
 			log.Infof("checkpoint %s already exsits, removing ", cpMeta.UUID)
 		}
+	}
 	f, err := os.Create(cpMeta.UUID)
 	defer f.Close()
 	if err != nil {

go/utils/networkhelper/CMakeLists.txt

+if(WITH_TESTING)
+  go_test(network_helper_test)
+endif()

paddle/CMakeLists.txt

@@ -8,7 +8,6 @@ add_subdirectory(gserver)
 add_subdirectory(pserver)
 add_subdirectory(trainer)
 add_subdirectory(scripts)
-add_subdirectory(optimizer)
 add_subdirectory(string)
 
 if(Boost_FOUND)

paddle/framework/CMakeLists.txt

@@ -11,7 +11,7 @@ proto_library(op_proto SRCS op_proto.proto DEPS attr_type)
 cc_test(op_proto_test SRCS op_proto_test.cc DEPS op_proto protobuf)
 proto_library(op_desc SRCS op_desc.proto DEPS attr_type)
 cc_test(op_desc_test SRCS op_desc_test.cc DEPS op_desc protobuf)
-cc_library(operator SRCS operator.cc DEPS op_desc protobuf)
+cc_library(operator SRCS operator.cc DEPS op_desc device_context)
 cc_test(operator_test SRCS operator_test.cc DEPS operator op_registry)
 cc_library(op_registry SRCS op_registry.cc DEPS op_proto op_desc)
 cc_test(op_registry_test SRCS op_registry_test.cc DEPS op_registry operator)

paddle/framework/op_registry.h

 #pragma once
 
 #include <algorithm>
+#include <type_traits>
 #include "paddle/framework/attr_checker.h"
 #include "paddle/framework/op_desc.pb.h"
 #include "paddle/framework/op_proto.pb.h"
@@ -81,8 +82,6 @@ class OpProtoAndCheckerMaker {
     return op_checker_->AddAttrChecker<T>(name);
   }
 
-  void AddType(const std::string& op_type) { proto_->set_type(op_type); }
-
   void AddComment(const std::string& comment) {
     *(proto_->mutable_comment()) = comment;
   }
@@ -101,8 +100,11 @@ class OpRegistry {
     OpProto& op_proto = protos()[op_type];
     OpAttrChecker& op_checker = op_checkers()[op_type];
     ProtoMakerType(&op_proto, &op_checker);
-    PADDLE_ENFORCE(op_proto.IsInitialized(),
-                   "Fail to initialize %s's OpProto !", op_type);
+    *op_proto.mutable_type() = op_type;
+    PADDLE_ENFORCE(
+        op_proto.IsInitialized(),
+        "Fail to initialize %s's OpProto, because %s is not initialized",
+        op_type, op_proto.InitializationErrorString());
   }
 
   static OperatorBase* CreateOp(const OpDesc& op_desc) {
@@ -119,6 +121,7 @@ class OpRegistry {
       op->attrs_[attr.name()] = AttrTypeHelper::GetAttrValue(attr);
     }
     op_checkers().at(op_type).Check(op->attrs_);
+    op->Init();
     return op;
   }
 
@@ -142,18 +145,73 @@ class OpRegistry {
 template <typename OpType, typename ProtoMakerType>
 class OpRegisterHelper {
  public:
-  OpRegisterHelper(std::string op_type) {
+  OpRegisterHelper(const char* op_type) {
     OpRegistry::RegisterOp<OpType, ProtoMakerType>(op_type);
   }
 };
 
-#define REGISTER_OP(__op_class, __op_maker_class, __op_type)         \
-  class __op_class##Register {                                       \
-   private:                                                          \
-    const static OpRegisterHelper<__op_class, __op_maker_class> reg; \
+#define STATIC_ASSERT_GLOBAL_NAMESPACE(uniq_name, msg)                        \
+  struct __test_global_namespace_##uniq_name##__ {};                          \
+  static_assert(std::is_same<::__test_global_namespace_##uniq_name##__,       \
+                             __test_global_namespace_##uniq_name##__>::value, \
+                msg)
+
+#define REGISTER_OP(__op_type, __op_class, __op_maker_class)                 \
+  STATIC_ASSERT_GLOBAL_NAMESPACE(__reg_op__##__op_type,                      \
+                                 "REGISTER_OP must be in global namespace"); \
+  static ::paddle::framework::OpRegisterHelper<__op_class, __op_maker_class> \
+      __op_register_##__op_type##__(#__op_type);                             \
+  int __op_register_##__op_type##_handle__() { return 0; }
+
+#define REGISTER_OP_KERNEL(type, GPU_OR_CPU, PlaceType, KernelType)       \
+  STATIC_ASSERT_GLOBAL_NAMESPACE(                                         \
+      __reg_op_kernel_##type##_##GPU_OR_CPU##__,                          \
+      "REGISTER_OP_KERNEL must be in global namespace");                  \
+  struct __op_kernel_register__##type##__ {                               \
+    __op_kernel_register__##type##__() {                                  \
+      ::paddle::framework::OperatorWithKernel::OpKernelKey key;           \
+      key.place_ = PlaceType();                                           \
+      ::paddle::framework::OperatorWithKernel::AllOpKernels()[#type][key] \
+          .reset(new KernelType());                                       \
+    }                                                                     \
   };                                                                      \
-  const OpRegisterHelper<__op_class, __op_maker_class>               \
-      __op_class##Register::reg(#__op_type);
+  static __op_kernel_register__##type##__ __reg_kernel_##type##__;        \
+  int __op_kernel_register_##type##_handle_##GPU_OR_CPU##__() { return 0; }
+
+#define REGISTER_OP_GPU_KERNEL(type, KernelType) \
+  REGISTER_OP_KERNEL(type, GPU, ::paddle::platform::GPUPlace, KernelType)
+
+#define REGISTER_OP_CPU_KERNEL(type, KernelType) \
+  REGISTER_OP_KERNEL(type, CPU, ::paddle::platform::CPUPlace, KernelType)
+
+#define USE_OP_WITHOUT_KERNEL(op_type)                      \
+  STATIC_ASSERT_GLOBAL_NAMESPACE(                           \
+      __use_op_without_kernel_##op_type,                    \
+      "USE_OP_WITHOUT_KERNEL must be in global namespace"); \
+  extern int __op_register_##op_type##_handle__();          \
+  static int __use_op_ptr_##op_type##_without_kernel__      \
+      __attribute__((unused)) = __op_register_##op_type##_handle__()
+
+#define USE_OP_KERNEL(op_type, DEVICE_TYPE)                               \
+  STATIC_ASSERT_GLOBAL_NAMESPACE(                                         \
+      __use_op_kernel_##op_type##_##DEVICE_TYPE##__,                      \
+      "USE_OP_KERNEL must be in global namespace");                       \
+  extern int __op_kernel_register_##op_type##_handle_##DEVICE_TYPE##__(); \
+  static int __use_op_ptr_##op_type##_##DEVICE_TYPE##_kernel__            \
+      __attribute__((unused)) =                                           \
+          __op_kernel_register_##op_type##_handle_##DEVICE_TYPE##__()
+
+#ifdef PADDLE_ONLY_CPU
+#define USE_OP(op_type)           \
+  USE_OP_WITHOUT_KERNEL(op_type); \
+  USE_OP_KERNEL(op_type, CPU);
+
+#else
+#define USE_OP(op_type)           \
+  USE_OP_WITHOUT_KERNEL(op_type); \
+  USE_OP_KERNEL(op_type, CPU);    \
+  USE_OP_KERNEL(op_type, GPU)
+#endif
 
 }  // namespace framework
 }  // namespace paddle

paddle/framework/op_registry_test.cc

 #include "paddle/framework/op_registry.h"
 #include <gtest/gtest.h>
-#include "paddle/framework/operator.h"
-#include "paddle/operators/demo_op.h"
-
-using namespace paddle::framework;
 
 namespace paddle {
 namespace framework {
-class CosineOp : public OperatorWithKernel {
+class CosineOp : public OperatorBase {
  public:
-  void Run(const OpRunContext* context) const override {
-    printf("%s\n", DebugString().c_str());
-  }
+  void Run(const std::shared_ptr<Scope>& scope,
+           const platform::DeviceContext& dev_ctx) const override {}
+  void InferShape(const std::shared_ptr<Scope>& scope) const override {}
 };
 
 class CosineOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
@@ -23,19 +19,17 @@ class CosineOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
     AddAttr<float>("scale", "scale of cosine op")
         .SetDefault(1.0)
         .LargerThan(0.0);
-    AddType("cos");
     AddComment("This is cos op");
   }
 };
 
-REGISTER_OP(CosineOp, CosineOpProtoAndCheckerMaker, cos_sim)
+class MyTestOp : public OperatorBase {
+ public:
+  void InferShape(const std::shared_ptr<Scope>& scope) const override {}
+  void Run(const std::shared_ptr<Scope>& scope,
+           const platform::DeviceContext& dev_ctx) const override {}
 
-class MyTestOp : public OperatorWithKernel {
  public:
-  void Run(const OpRunContext* ctx) const override {
-    printf("%s\n", DebugString().c_str());
-    printf("test_attr = %d\n", ctx->op_->GetAttr<int>("test_attr"));
-  }
 };
 
 class MyTestOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
@@ -49,15 +43,17 @@ class MyTestOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
     };
     AddAttr<int>("test_attr", "a simple test attribute")
         .AddCustomChecker(my_checker);
-    AddType("my_test_op");
     AddComment("This is my_test op");
   }
 };
-
-REGISTER_OP(MyTestOp, MyTestOpProtoAndCheckerMaker, my_test_op)
 }  // namespace framework
 }  // namespace paddle
 
+REGISTER_OP(cos_sim, paddle::framework::CosineOp,
+            paddle::framework::CosineOpProtoAndCheckerMaker);
+REGISTER_OP(my_test_op, paddle::framework::MyTestOp,
+            paddle::framework::MyTestOpProtoAndCheckerMaker);
+
 TEST(OpRegistry, CreateOp) {
   paddle::framework::OpDesc op_desc;
   op_desc.set_type("cos_sim");
@@ -72,9 +68,9 @@ TEST(OpRegistry, CreateOp) {
 
   paddle::framework::OperatorBase* op =
       paddle::framework::OpRegistry::CreateOp(op_desc);
-  auto scope = std::make_shared<Scope>();
-  auto dev_ctx = DeviceContext();
-  op->Run(scope, &dev_ctx);
+  auto scope = std::make_shared<paddle::framework::Scope>();
+  paddle::platform::CPUDeviceContext dev_ctx;
+  op->Run(scope, dev_ctx);
   float scale_get = op->GetAttr<float>("scale");
   ASSERT_EQ(scale_get, scale);
 }
@@ -115,9 +111,9 @@ TEST(OpRegistry, DefaultValue) {
 
   paddle::framework::OperatorBase* op =
       paddle::framework::OpRegistry::CreateOp(op_desc);
-  auto scope = std::make_shared<Scope>();
-  auto dev_ctx = DeviceContext();
-  op->Run(scope, &dev_ctx);
+  auto scope = std::make_shared<paddle::framework::Scope>();
+  paddle::platform::CPUDeviceContext dev_ctx;
+  op->Run(scope, dev_ctx);
   ASSERT_EQ(op->GetAttr<float>("scale"), 1.0);
 }
 
@@ -169,14 +165,9 @@ TEST(OpRegistry, CustomChecker) {
   attr->set_i(4);
   paddle::framework::OperatorBase* op =
       paddle::framework::OpRegistry::CreateOp(op_desc);
-  auto dev_ctx = DeviceContext();
-  auto scope = std::make_shared<Scope>();
-  op->Run(scope, &dev_ctx);
+  paddle::platform::CPUDeviceContext dev_ctx;
+  auto scope = std::make_shared<paddle::framework::Scope>();
+  op->Run(scope, dev_ctx);
   int test_attr = op->GetAttr<int>("test_attr");
   ASSERT_EQ(test_attr, 4);
 }
-
-int main(int argc, char** argv) {
-  testing::InitGoogleTest(&argc, argv);
-  return RUN_ALL_TESTS();
-}
\ No newline at end of file

paddle/framework/operator.cc

@@ -39,13 +39,5 @@ std::string OperatorBase::DebugString() const {
   return ss.str();
 }
 
-const Variable* OpRunContext::Input(int index) const {
-  return scope_->GetVariable(op_->inputs_[index]);
-}
-
-Variable* OpRunContext::Output(int index) const {
-  return scope_->GetVariable(op_->outputs_[index]);
-}
-
 }  // namespace framework
 }  // namespace paddle
\ No newline at end of file

paddle/framework/operator.h

@@ -14,44 +14,23 @@ limitations under the License. */
 
 #pragma once
 
+#include <paddle/framework/attr_checker.h>
+#include <paddle/framework/op_desc.pb.h>
+#include <paddle/framework/scope.h>
+#include <paddle/framework/tensor.h>
+#include <paddle/platform/device_context.h>
+#include <paddle/platform/place.h>
+#include <paddle/utils/Error.h>
 #include <boost/variant.hpp>
 #include <string>
 #include <unordered_map>
 #include <vector>
 
-#include "paddle/framework/attr_checker.h"
-#include "paddle/framework/op_desc.pb.h"
-#include "paddle/framework/scope.h"
-#include "paddle/utils/Error.h"
-
 namespace paddle {
 namespace framework {
 
 class OperatorBase;
 
-class DeviceContext {};
-
-/**
- * OpRunContext is the only parameter of Operator's Run function.
- * Run will get input/output variables, state such as momentum and
- * device resource such as CUDA stream, cublas handle, etc. from
- * OpRunContext. User should construct it before run the Operator.
- */
-class OpRunContext {
- public:
-  OpRunContext(const OperatorBase* op, const std::shared_ptr<Scope> scope,
-               const DeviceContext* device_context)
-      : op_(op), scope_(scope), device_context_(device_context) {}
-
-  const Variable* Input(int index) const;
-  Variable* Output(int index) const;
-
- public:
-  const OperatorBase* op_;
-  const std::shared_ptr<Scope> scope_;
-  const DeviceContext* device_context_;
-};
-
 /**
  * OperatorBase has the basic element that Net will call to do computation.
  * Only CreateOperator from OpRegistry will new Operator directly. User
@@ -71,13 +50,20 @@ class OperatorBase {
 
   std::string DebugString() const;
 
+  /// Init will be called after CreateOperator, you can put some initialization
+  /// logic here.
+  virtual void Init() {}
+
   /// InferShape infer the size of Variables used by this Operator with
   /// information inside scope
   virtual void InferShape(const std::shared_ptr<Scope>& scope) const = 0;
 
   /// Net will call this function to Run an op.
   virtual void Run(const std::shared_ptr<Scope>& scope,
-                   const DeviceContext* dev_ctx) const = 0;
+                   const platform::DeviceContext& dev_ctx) const = 0;
+
+ protected:
+  std::string Type() const { return desc_.type(); }
 
  public:
   OpDesc desc_;
@@ -86,21 +72,113 @@ class OperatorBase {
   AttributeMap attrs_;
 };
 
+class OpKernel {
+ public:
+  /**
+   * KernelContext is the only parameter of Kernel Run function.
+   * Run will get input/output variables, state such as momentum and
+   * device resource such as CUDA stream, cublas handle, etc. from
+   * KernelContext. User should construct it before run the Operator.
+   */
+  class KernelContext {
+   public:
+    KernelContext(const OperatorBase* op, const std::shared_ptr<Scope>& scope,
+                  const platform::DeviceContext& device_context)
+        : op_(*op), scope_(scope), device_context_(device_context) {}
+
+    const Variable* Input(int index) const {
+      return scope_->GetVariable(op_.inputs_[index]);
+    }
+
+    Variable* Output(int index) const {
+      return scope_->GetVariable(op_.outputs_[index]);
+    }
+
+    const OperatorBase& op_;
+    const std::shared_ptr<Scope>& scope_;
+    const platform::DeviceContext& device_context_;
+  };
+
+  virtual void Compute(const KernelContext& context) const = 0;
+
+  virtual ~OpKernel() {}
+};
+
+template <typename T>
+struct VarToTensor {};
+
+template <>
+struct VarToTensor<Tensor*> {
+  Tensor* operator()(Variable* var) { return var->GetMutable<Tensor>(); }
+};
+
+template <>
+struct VarToTensor<const Tensor*> {
+  const Tensor* operator()(Variable* var) { return &var->Get<Tensor>(); }
+};
+
 class OperatorWithKernel : public OperatorBase {
  public:
-  virtual ~OperatorWithKernel() {}
+  struct OpKernelKey {
+    platform::Place place_;
 
-  virtual void InferShape(const std::shared_ptr<Scope>& scope) const {}
+    OpKernelKey() = default;
+    OpKernelKey(const platform::DeviceContext& dev_ctx) {
+      place_ = dev_ctx.GetPlace();
+    }
+
+    bool operator==(const OpKernelKey& o) const { return place_ == o.place_; }
+  };
+
+  struct OpKernelHash {
+    std::hash<bool> hash_;
+    size_t operator()(const OpKernelKey& key) const {
+      return hash_(platform::is_gpu_place(key.place_));
+    }
+  };
+
+  using OpKernelMap =
+      std::unordered_map<OpKernelKey, std::unique_ptr<OpKernel>, OpKernelHash>;
 
   void Run(const std::shared_ptr<Scope>& scope,
-           const DeviceContext* dev_ctx) const {
-    OpRunContext op_ctx(this, scope, dev_ctx);
-    Run(&op_ctx);
+           const platform::DeviceContext& dev_ctx) const final {
+    auto& opKernel = AllOpKernels().at(Type()).at(OpKernelKey(dev_ctx));
+    opKernel->Compute(OpKernel::KernelContext(this, scope, dev_ctx));
+  }
+
+  static std::unordered_map<std::string /* op_type */, OpKernelMap>&
+  AllOpKernels() {
+    static std::unordered_map<std::string, OpKernelMap> g_all_op_kernels;
+    return g_all_op_kernels;
+  }
+  void InferShape(const std::shared_ptr<Scope>& scope) const final {
+    std::vector<const Tensor*> ins;
+    VarNamesToTensors(scope, inputs_, &ins);
+    std::vector<Tensor*> outs;
+    VarNamesToTensors(scope, outputs_, &outs);
+    InferShape(ins, outs);
+  };
+
+ private:
+  template <typename T>
+  void VarNamesToTensors(const std::shared_ptr<Scope>& scope,
+                         const std::vector<std::string>& var_names,
+                         std::vector<T>* container) const {
+    container->reserve(var_names.size());
+    VarToTensor<T> convert;
+    for (auto& name : var_names) {
+      auto var = scope->GetVariable(name);
+      if (var != nullptr) {
+        container->push_back(convert(var));
+      } else {
+        container->push_back(nullptr);
+      }
+    }
   }
 
-  /// when implement an Op, your should implement this function.
-  /// this function should be moved to OpKernel later
-  virtual void Run(const OpRunContext* context) const = 0;
+ protected:
+  virtual void InferShape(const std::vector<const Tensor*>& inputs,
+                          const std::vector<Tensor*>& outputs) const = 0;
 };
 
 }  // namespace framework

paddle/framework/operator_test.cc

@@ -19,62 +19,76 @@ limitations under the License. */
 namespace paddle {
 namespace framework {
 
-class OperatorTest : public OperatorWithKernel {
+class OperatorTest : public OperatorBase {
  public:
-  void Run(const OpRunContext* ctx) const override {
-    float scale = ctx->op_->GetAttr<float>("scale");
-    PADDLE_ENFORCE(ctx->Input(0) == nullptr, "Input(0) should not initialized");
-    PADDLE_ENFORCE(ctx->Output(0) == nullptr,
-                   "Output(1) should not initialized");
-    auto output1 = ctx->scope_->CreateVariable("output1");
-    PADDLE_ENFORCE(output1 != nullptr, "should create output1 from scope");
-    printf("get attr %s = %f\n", "scale", scale);
-    printf("%s\n", DebugString().c_str());
+  void Init() override { x = 1; }
+  void InferShape(const std::shared_ptr<Scope>& scope) const override {}
+  void Run(const std::shared_ptr<Scope>& scope,
+           const platform::DeviceContext& dev_ctx) const override {
+    float scale = GetAttr<float>("scale");
+    ASSERT_NEAR(scale, 3.14, 1e-5);
+    ASSERT_EQ(scope->GetVariable(inputs_[0]), nullptr);
+    ASSERT_EQ(x, 1);
+    ASSERT_NE(scope->GetVariable(outputs_[0]), nullptr);
   }
+
+ public:
+  float x = 0;
 };
 
-class OperatorTestProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
+class OpKernelTestProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
  public:
-  OperatorTestProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
+  OpKernelTestProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
       : OpProtoAndCheckerMaker(proto, op_checker) {
     AddInput("input", "input of test op");
     AddOutput("output", "output of test op");
     AddAttr<float>("scale", "scale of cosine op")
         .SetDefault(1.0)
         .LargerThan(0.0);
-    AddType("test_operator");
     AddComment("This is test op");
   }
 };
 
-REGISTER_OP(OperatorTest, OperatorTestProtoAndCheckerMaker, test_operator)
+class OpWithKernelTest : public OperatorWithKernel {
+ protected:
+  void InferShape(const std::vector<const Tensor*>& inputs,
+                  const std::vector<Tensor*>& outputs) const override {}
+};
 
-TEST(OperatorBase, DebugString) {
-  OpDesc op_desc;
-  op_desc.set_type("test_operator");
-  std::vector<std::string> inputs = {"IN1", "IN2"};
-  for (auto& input : inputs) {
-    op_desc.add_inputs(input);
-  }
-  std::vector<std::string> outputs = {"OUT1", "OUT2"};
-  for (auto& output : outputs) {
-    op_desc.add_outputs(output);
+class CPUKernelTest : public OpKernel {
+ public:
+  void Compute(const KernelContext& context) const {
+    float scale = context.op_.GetAttr<float>("scale");
+    ASSERT_NEAR(scale, 3.14, 1e-5);
+    std::cout << "this is cpu kernel" << std::endl;
+    std::cout << context.op_.DebugString() << std::endl;
   }
+};
+
+}  // namespace framework
+}  // namespace paddle
+
+REGISTER_OP(op_with_kernel, paddle::framework::OpWithKernelTest,
+            paddle::framework::OpKernelTestProtoAndCheckerMaker);
+REGISTER_OP_CPU_KERNEL(op_with_kernel, paddle::framework::CPUKernelTest);
+
+TEST(OpKernel, all) {
+  using namespace paddle::framework;
+
+  OpDesc op_desc;
+  op_desc.set_type("op_with_kernel");
+  *op_desc.mutable_inputs()->Add() = "IN1";
+  *op_desc.mutable_outputs()->Add() = "OUT1";
   auto attr = op_desc.mutable_attrs()->Add();
   attr->set_name("scale");
   attr->set_type(paddle::framework::AttrType::FLOAT);
-  float scale = 3.14;
-  attr->set_f(scale);
+  attr->set_f(3.14);
 
-  DeviceContext device_context;
+  paddle::platform::CPUDeviceContext cpu_device_context;
   auto scope = std::make_shared<Scope>();
 
   OperatorBase* op = paddle::framework::OpRegistry::CreateOp(op_desc);
-  ASSERT_EQ(op->inputs_, inputs);
-  ASSERT_EQ(op->outputs_, outputs);
-  ASSERT_EQ(op->GetAttr<float>("scale"), scale);
-  op->Run(scope, &device_context);
-}
+  op->Run(scope, cpu_device_context);
 
-}  // namespace framework
-}  // namespace paddle
+  delete op;
+}
\ No newline at end of file

paddle/operators/.clang-format

----
-Language:        Cpp
-BasedOnStyle:  Google
-Standard:  Cpp11 
-...

paddle/operators/CMakeLists.txt

+if(WITH_GPU)
+    nv_library(add_op SRCS add_op.cc add_op.cu DEPS operator op_registry glog ddim)
+else()
+    cc_library(add_op SRCS add_op.cc DEPS operator op_registry glog ddim)
+endif()
+cc_test(add_op_test SRCS add_op_test.cc DEPS add_op)

paddle/operators/add_op.cc

+#include <paddle/framework/op_registry.h>
+#include <paddle/framework/tensor.h>
+#include <paddle/operators/add_op.h>
+
+namespace paddle {
+namespace operators {
+
+class AddOp : public framework::OperatorWithKernel {
+protected:
+  void InferShape(
+      const std::vector<const framework::Tensor *> &inputs,
+      const std::vector<framework::Tensor *> &outputs) const override {
+    PADDLE_ENFORCE(inputs.size() == 2, "Input size of AddOp must be two");
+    PADDLE_ENFORCE(outputs.size() == 1, "Output size of AddOp must be one");
+    PADDLE_ENFORCE(
+        inputs[0] != nullptr && inputs[1] != nullptr && outputs[0] != nullptr,
+        "Inputs/Outputs of AddOp must all be set");
+    PADDLE_ENFORCE(inputs[0]->dims() == inputs[1]->dims(),
+                   "Two input of Add Op's dimension must be same.");
+    // Need set dims in Tensor
+    // outputs[0]->set_dims(inputs[0]->dims())
+  }
+};
+
+class AddOpMaker : public framework::OpProtoAndCheckerMaker {
+public:
+  AddOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
+      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+    AddInput("X", "The first input of add op");
+    AddInput("Y", "The second input of add op");
+    AddOutput("Out", "The output of add op");
+    AddComment(R"DOC(
+Two Element Add Operator.
+
+The equation is: Out = X + Y
+)DOC");
+  }
+};
+}  // namespace op
+}  // namespace paddle
+
+REGISTER_OP(add_two, paddle::operators::AddOp, paddle::operators::AddOpMaker);
+REGISTER_OP_CPU_KERNEL(
+    add_two, ::paddle::operators::AddKernel<::paddle::platform::CPUPlace>);
\ No newline at end of file

paddle/operators/add_op.cu

+#include <paddle/operators/add_op.h>
+#include <paddle/framework/op_registry.h>
+
+REGISTER_OP_GPU_KERNEL(add_two,
+                       paddle::operators::AddKernel<paddle::platform::GPUPlace>);
\ No newline at end of file

paddle/operators/add_op.h

+#pragma once
+#include <glog/logging.h>
+#include <paddle/framework/operator.h>
+
+namespace paddle {
+namespace operators {
+
+template <typename Place>
+class AddKernel : public framework::OpKernel {
+public:
+  void Compute(const KernelContext &context) const override {
+    LOG(INFO) << "Add kernel in " << typeid(Place).name();
+  }
+};
+
+}  // namespace op
+}  // namespace paddle

paddle/operators/add_op_test.cc

+#include <gtest/gtest.h>
+#define private public
+#include <paddle/framework/op_registry.h>
+USE_OP(add_two);
+TEST(AddOp, GetOpProto) {
+  auto& protos = paddle::framework::OpRegistry::protos();
+  auto it = protos.find("add_two");
+  ASSERT_NE(it, protos.end());
+}
\ No newline at end of file

paddle/operators/demo_op.h

-#pragma once
-
-#include "paddle/framework/op_registry.h"
-
-using namespace paddle::framework;
-
-namespace paddle {
-namespace operators {
-
-class CosineOp : public OperatorWithKernel {
- public:
-  void Run(const OpRunContext *context) const override {
-    printf("%s\n", DebugString().c_str());
-  }
-};
-
-class CosineOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
- public:
-  CosineOpProtoAndCheckerMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
-    AddInput("input", "input of cosine op");
-    AddOutput("output", "output of cosine op");
-    AddAttr<float>("scale", "scale of cosine op")
-        .SetDefault(1.0)
-        .LargerThan(0.0);
-    AddType("cos");
-    AddComment("This is cos op");
-  }
-};
-
-REGISTER_OP(CosineOp, CosineOpProtoAndCheckerMaker, cos_sim)
-
-class MyTestOp : public OperatorWithKernel {
- public:
-  void Run(const OpRunContext *context) const override {
-    printf("%s\n", DebugString().c_str());
-  }
-};
-
-class MyTestOpProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
- public:
-  MyTestOpProtoAndCheckerMaker(OpProto *proto, OpAttrChecker *op_checker)
-      : OpProtoAndCheckerMaker(proto, op_checker) {
-    AddInput("input", "input of cosine op");
-    AddOutput("output", "output of cosine op");
-    auto my_checker = [](int i) {
-      PADDLE_ENFORCE(i % 2 == 0, "'test_attr' must be even!");
-    };
-    AddAttr<int>("test_attr", "a simple test attribute")
-        .AddCustomChecker(my_checker);
-    AddType("my_test_op");
-    AddComment("This is my_test op");
-  }
-};
-
-REGISTER_OP(MyTestOp, MyTestOpProtoAndCheckerMaker, my_test_op)
-
-}  // namespace operators
-}  // namespace operators

paddle/platform/CMakeLists.txt

 add_subdirectory(dynload)
 
-nv_test(cuda_test SRCS cuda_test.cu DEPS dyload_cuda)
+nv_test(cuda_test SRCS cuda_test.cu)
 
 cc_library(place SRCS place.cc)
 cc_test(place_test SRCS place_test.cc DEPS place glog gflags)
+
 IF(WITH_GPU)
-    set(GPU_CTX_DEPS dyload_cuda dynamic_loader )
+    set(GPU_CTX_DEPS dynload_cuda dynamic_loader)
 ELSE()
     set(GPU_CTX_DEPS)
 ENDIF()

paddle/platform/device_context.cc

-#include <paddle/platform/device_context.h>
+/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
+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 "paddle/platform/device_context.h"
 
 namespace paddle {
 namespace platform {
-namespace dynload {
-namespace dummy {
-// Make DeviceContext A library.
-int DUMMY_VAR_FOR_DEV_CTX = 0;
 
-}  // namespace dummy
-}  // namespace dynload
+template <>
+Eigen::DefaultDevice* DeviceContext::get_eigen_device<Eigen::DefaultDevice>() {
+  return reinterpret_cast<CPUDeviceContext*>(this)->eigen_device();
+}
+
+#ifndef PADDLE_ONLY_CPU
+template <>
+Eigen::GpuDevice* DeviceContext::get_eigen_device<Eigen::GpuDevice>() {
+  return reinterpret_cast<CUDADeviceContext*>(this)->eigen_device();
+}
+#endif
+
 }  // namespace platform
 }  // namespace paddle

paddle/platform/device_context.h

 /* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
-
 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.
@@ -22,8 +19,9 @@ limitations under the License. */
 #include "paddle/platform/dynload/curand.h"
 #define EIGEN_USE_GPU
 #endif
-#include "paddle/platform/place.h"
-#include "unsupported/Eigen/CXX11/Tensor"
+#include <paddle/platform/place.h>
+#include <memory>
+#include <unsupported/Eigen/CXX11/Tensor>
 
 namespace paddle {
 namespace platform {
@@ -31,9 +29,29 @@ namespace platform {
 class DeviceContext {
  public:
   virtual ~DeviceContext() {}
+  virtual Place GetPlace() const = 0;
+
+  template <typename DeviceType>
+  DeviceType* get_eigen_device();
 };
 
-class CPUDeviceContext : public DeviceContext {};
+class CPUDeviceContext : public DeviceContext {
+ public:
+  Eigen::DefaultDevice* eigen_device() {
+    if (!eigen_device_) {
+      eigen_device_.reset(new Eigen::DefaultDevice());
+    }
+    return eigen_device_.get();
+  }
+
+  Place GetPlace() const override {
+    Place retv = CPUPlace();
+    return retv;
+  }
+
+ private:
+  std::unique_ptr<Eigen::DefaultDevice> eigen_device_;
+};
 
 #ifndef PADDLE_ONLY_CPU
 
@@ -57,8 +75,13 @@ class CUDADeviceContext : public DeviceContext {
     GPUPlaceGuard guard(gpu_place_);
     paddle::platform::throw_on_error(cudaStreamCreate(&stream_),
                                      "cudaStreamCreate failed");
-    eigen_stream_ = new Eigen::CudaStreamDevice(&stream_);
-    eigen_device_ = new Eigen::GpuDevice(eigen_stream_);
+    eigen_stream_.reset(new Eigen::CudaStreamDevice(&stream_));
+    eigen_device_.reset(new Eigen::GpuDevice(eigen_stream_.get()));
+  }
+
+  Place GetPlace() const override {
+    Place retv = GPUPlace();
+    return retv;
   }
 
   void Wait() {
@@ -68,7 +91,7 @@ class CUDADeviceContext : public DeviceContext {
 
   cudaStream_t stream() { return stream_; }
 
-  Eigen::GpuDevice eigen_device() { return *eigen_device_; }
+  Eigen::GpuDevice* eigen_device() { return eigen_device_.get(); }
 
   cublasHandle_t cublas_handle() {
     if (!blas_handle_) {
@@ -133,10 +156,8 @@ class CUDADeviceContext : public DeviceContext {
                          rand_generator_) == CURAND_STATUS_SUCCESS,
                      "curandDestroyGenerator failed");
     }
-
-    delete eigen_stream_;
-    delete eigen_device_;
-
+    eigen_stream_.reset();
+    eigen_device_.reset();
     paddle::platform::throw_on_error(cudaStreamDestroy(stream_),
                                      "cudaStreamDestroy failed");
   }
@@ -145,8 +166,8 @@ class CUDADeviceContext : public DeviceContext {
   GPUPlace gpu_place_;
   cudaStream_t stream_;
 
-  Eigen::CudaStreamDevice* eigen_stream_;
-  Eigen::GpuDevice* eigen_device_;
+  std::unique_ptr<Eigen::CudaStreamDevice> eigen_stream_;
+  std::unique_ptr<Eigen::GpuDevice> eigen_device_;
 
   cublasHandle_t blas_handle_{nullptr};
 
@@ -155,6 +176,8 @@ class CUDADeviceContext : public DeviceContext {
   int random_seed_;
   curandGenerator_t rand_generator_{nullptr};
 };
+
 #endif
+
 }  // namespace platform
 }  // namespace paddle

paddle/platform/device_context_test.cc

@@ -15,13 +15,26 @@ limitations under the License. */
 #include "paddle/platform/device_context.h"
 #include "gtest/gtest.h"
 
-TEST(CUDADeviceContext, Init) {
+using DEVICE_GPU = Eigen::GpuDevice;
+TEST(Device, Init) {
+  int count = paddle::platform::GetDeviceCount();
+  for (int i = 0; i < count; i++) {
+    paddle::platform::DeviceContext* device_context =
+        new paddle::platform::CUDADeviceContext(i);
+    Eigen::GpuDevice* gpu_device =
+        device_context->template get_eigen_device<DEVICE_GPU>();
+    ASSERT_NE(nullptr, gpu_device);
+    delete device_context;
+  }
+}
+
+TEST(Device, CUDADeviceContext) {
   int count = paddle::platform::GetDeviceCount();
   for (int i = 0; i < count; i++) {
     paddle::platform::CUDADeviceContext* device_context =
         new paddle::platform::CUDADeviceContext(i);
-    Eigen::GpuDevice gpu_device = device_context->eigen_device();
-    ASSERT_NE(nullptr, gpu_device.stream());
+    Eigen::GpuDevice* gpu_device = device_context->eigen_device();
+    ASSERT_NE(nullptr, gpu_device);
     cudnnHandle_t cudnn_handle = device_context->cudnn_handle();
     ASSERT_NE(nullptr, cudnn_handle);
     cublasHandle_t cublas_handle = device_context->cublas_handle();

paddle/platform/dynload/CMakeLists.txt

 cc_library(dynamic_loader SRCS dynamic_loader.cc DEPS glog gflags)
-nv_library(dyload_cuda SRCS cublas.cc cudnn.cc curand.cc)
+nv_library(dynload_cuda SRCS cublas.cc cudnn.cc curand.cc)

paddle/platform/dynload/cublas.h

@@ -67,20 +67,20 @@ extern void *cublas_dso_handle;
   __macro(cublasSgemm);                   \
   __macro(cublasDgemm);                   \
   __macro(cublasSgeam);                   \
-  __macro(cublasDgeam);
-
-DECLARE_DYNAMIC_LOAD_CUBLAS_V2_WRAP(cublasCreate);
-DECLARE_DYNAMIC_LOAD_CUBLAS_V2_WRAP(cublasDestroy);
-DECLARE_DYNAMIC_LOAD_CUBLAS_V2_WRAP(cublasSetStream);
-DECLARE_DYNAMIC_LOAD_CUBLAS_V2_WRAP(cublasSetPointerMode);
-DECLARE_DYNAMIC_LOAD_CUBLAS_V2_WRAP(cublasGetPointerMode);
-DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(cublasSgemmBatched);
-DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(cublasDgemmBatched);
-DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(cublasCgemmBatched);
-DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(cublasZgemmBatched);
-DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(cublasSgetrfBatched);
-DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(cublasSgetriBatched);
-DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP(cublasDgetrfBatched);
+  __macro(cublasDgeam);                   \
+  __macro(cublasCreate_v2);               \
+  __macro(cublasDestroy_v2);              \
+  __macro(cublasSetStream_v2);            \
+  __macro(cublasSetPointerMode_v2);       \
+  __macro(cublasGetPointerMode_v2);       \
+  __macro(cublasSgemmBatched);            \
+  __macro(cublasDgemmBatched);            \
+  __macro(cublasCgemmBatched);            \
+  __macro(cublasZgemmBatched);            \
+  __macro(cublasSgetrfBatched);           \
+  __macro(cublasSgetriBatched);           \
+  __macro(cublasDgetrfBatched);           \
+  __macro(cublasDgetriBatched)
 
 CUBLAS_BLAS_ROUTINE_EACH(DECLARE_DYNAMIC_LOAD_CUBLAS_WRAP);
 

paddle/pybind/pybind.cc

@@ -12,6 +12,7 @@ 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. */
 
+#include <Python.h>
 #include <paddle/framework/scope.h>
 #include <pybind11/pybind11.h>
 

python/paddle/v2/framework/default_scope_funcs.py

+"""
+Default scope function.
+
+`Paddle` manages Scope as programming language's scope.  It just a 
+thread-local stack of Scope. Top of that stack is current scope, the bottom 
+of that stack is all scopes' parent. 
+
+Invoking `create_var/get_var`  can `create/get` variable in current scope. 
+Invoking `enter_local_scope/leave_local_scope` can create or destroy local 
+scope. 
+
+A `scoped_function` will take a `function` as input. That function will be 
+invoked in a new local scope. 
+"""
+
+import paddle.v2.framework.core
+import threading
+
+__tl_scope__ = threading.local()
+
+__all__ = [
+    'get_cur_scope', 'enter_local_scope', 'leave_local_scope', 'create_var',
+    'get_var', 'scoped_function'
+]
+
+
+def get_cur_scope():
+    """
+    Get current scope.
+    :rtype: paddle.v2.framework.core.Scope
+    """
+    cur_scope_stack = getattr(__tl_scope__, 'cur_scope', None)
+    if cur_scope_stack is None:
+        __tl_scope__.cur_scope = list()
+    if len(__tl_scope__.cur_scope) == 0:
+        __tl_scope__.cur_scope.append(paddle.v2.framework.core.Scope(None))
+    return __tl_scope__.cur_scope[-1]
+
+
+def enter_local_scope():
+    """
+    Enter a new local scope
+    """
+    cur_scope = get_cur_scope()
+    new_scope = paddle.v2.framework.core.Scope(cur_scope)
+    __tl_scope__.cur_scope.append(new_scope)
+
+
+def leave_local_scope():
+    """
+    Leave local scope
+    """
+    __tl_scope__.cur_scope.pop()
+
+
+def create_var(name):
+    """
+    create variable in current scope.
+    """
+    return get_cur_scope().create_var(name)
+
+
+def get_var(name):
+    """
+    get variable in current scope.
+    """
+    return get_cur_scope().get_var(name)
+
+
+def scoped_function(func):
+    """
+    invoke `func` in new scope.
+    
+    :param func: a callable function that will be run in new scope.
+    :type func: callable
+    """
+    enter_local_scope()
+    try:
+        func()
+    except:
+        raise
+    finally:
+        leave_local_scope()

python/paddle/v2/framework/tests/CMakeLists.txt

-add_python_test(test_framework test_protobuf.py test_scope.py)
+add_python_test(test_framework test_protobuf.py test_scope.py
+    test_default_scope_funcs.py)

python/paddle/v2/framework/tests/test_default_scope_funcs.py

+from paddle.v2.framework.default_scope_funcs import *
+import unittest
+
+
+class TestDefaultScopeFuncs(unittest.TestCase):
+    def test_cur_scope(self):
+        self.assertIsNotNone(get_cur_scope())
+
+    def test_none_variable(self):
+        self.assertIsNone(get_var("test"))
+
+    def test_create_var_get_var(self):
+        var_a = create_var("var_a")
+        self.assertIsNotNone(var_a)
+        self.assertIsNotNone(get_cur_scope().get_var('var_a'))
+        enter_local_scope()
+        self.assertIsNotNone(get_cur_scope().get_var('var_a'))
+        leave_local_scope()
+
+    def test_var_get_int(self):
+        def __new_scope__():
+            i = create_var("var_i")
+            self.assertFalse(i.is_int())
+            i.set_int(10)
+            self.assertTrue(i.is_int())
+            self.assertEqual(10, i.get_int())
+
+        for _ in xrange(10):
+            scoped_function(__new_scope__)
+
+
+if __name__ == '__main__':
+    unittest.main()