the one ps proto (#41659)

* the one ps proto

* the one ps proto

* fix

* fix

* fix

* fix windows ci

* fix windows ci

* add dependency

* add dependency

paddle/fluid/distributed/CMakeLists.txt

 add_subdirectory(collective)
 add_subdirectory(store)
+if(WITH_PYTHON)
+  py_proto_compile(ps_py_proto SRCS the_one_ps.proto)
+  add_custom_target(ps_py_proto_init ALL  
+    COMMAND ${CMAKE_COMMAND} -E make_directory ${PADDLE_BINARY_DIR}/python/paddle/distributed/fleet/proto)
+  if (NOT WIN32)
+    add_custom_command(TARGET ps_py_proto POST_BUILD
+      COMMAND mv the_one_ps_pb2.py ${PADDLE_BINARY_DIR}/python/paddle/distributed/fleet/proto/)
+  else(NOT WIN32)
+    string(REPLACE "/" "\\" fleet_proto_dstpath "${PADDLE_BINARY_DIR}/python/paddle/distributed/fleet/proto/")
+    add_custom_command(TARGET ps_py_proto POST_BUILD
+      COMMAND copy /Y the_one_ps_pb2.py ${fleet_proto_dstpath}
+      COMMENT "Copy generated python the_one_ps_pb2 into directory ${fleet_proto_dstpath}.")
+  endif(NOT WIN32)
+endif()
+
 if(NOT WITH_PSCORE)
     add_subdirectory(fleet_executor)
     return()
 endif()
 
-proto_library(ps_framework_proto SRCS ps.proto)
+proto_library(ps_framework_proto SRCS the_one_ps.proto)
+add_custom_command(TARGET ps_framework_proto POST_BUILD
+    COMMAND mv the_one_ps.pb.h ps.pb.h
+    COMMAND mv the_one_ps.pb.cc ps.pb.cc)
 
 set(DISTRIBUTE_COMPILE_FLAGS "-Wno-error=unused-value -Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor -Wno-error=sign-compare -Wno-error=unused-variable -Wno-error=return-type -Wno-error=unused-but-set-variable -Wno-error=type-limits -Wno-error=unknown-pragmas -Wno-error=parentheses -Wno-error=unused-result")
 

paddle/fluid/distributed/ps.proto → paddle/fluid/distributed/the_one_ps.proto

@@ -233,4 +233,4 @@ message GraphFeature {
   repeated string name = 1;
   repeated string dtype = 2;
   repeated int32 shape = 3;
-}
\ No newline at end of file
+}

paddle/fluid/framework/CMakeLists.txt

@@ -237,7 +237,6 @@ if(WITH_PYTHON)
   py_proto_compile(trainer_py_proto SRCS trainer_desc.proto data_feed.proto)
   py_proto_compile(distributed_strategy_py_proto SRCS distributed_strategy.proto)
   py_proto_compile(pass_desc_py_proto SRCS pass_desc.proto)
-  py_proto_compile(ps_py_proto SRCS the_one_ps.proto)
 #Generate an empty \
     #__init__.py to make framework_py_proto as a valid python module.
   add_custom_target(fleet_proto_init ALL  
@@ -245,13 +244,12 @@ if(WITH_PYTHON)
     COMMAND ${CMAKE_COMMAND} -E touch ${PADDLE_BINARY_DIR}/python/paddle/distributed/fleet/proto/__init__.py 
   )
   add_custom_target(framework_py_proto_init ALL COMMAND ${CMAKE_COMMAND} -E touch __init__.py)
-  add_dependencies(framework_py_proto framework_py_proto_init trainer_py_proto distributed_strategy_py_proto fleet_proto_init pass_desc_py_proto ps_py_proto)
+  add_dependencies(framework_py_proto framework_py_proto_init trainer_py_proto distributed_strategy_py_proto fleet_proto_init pass_desc_py_proto ps_py_proto ps_py_proto_init)
   if (NOT WIN32)
     add_custom_command(TARGET framework_py_proto POST_BUILD
       COMMAND ${CMAKE_COMMAND} -E make_directory ${PADDLE_BINARY_DIR}/python/paddle/fluid/proto
       COMMAND cp *.py ${PADDLE_BINARY_DIR}/python/paddle/fluid/proto/
       COMMAND cp distributed_strategy_*.py ${PADDLE_BINARY_DIR}/python/paddle/distributed/fleet/proto
-      COMMAND cp the_one_ps_pb2.py ${PADDLE_BINARY_DIR}/python/paddle/distributed/fleet/proto
       COMMENT "Copy generated python proto into directory paddle/fluid/proto."
       WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
     add_custom_target(fleet_executor_proto_init ALL DEPENDS fleet_proto_init fleet_executor_desc_py_proto
@@ -263,7 +261,6 @@ if(WITH_PYTHON)
     add_custom_command(TARGET framework_py_proto POST_BUILD
           COMMAND ${CMAKE_COMMAND} -E make_directory ${PADDLE_BINARY_DIR}/python/paddle/fluid/proto
           COMMAND copy /Y *.py ${proto_dstpath}
-      COMMAND copy /Y the_one_ps_pb2.py ${fleet_proto_dstpath}
 	  COMMAND copy /Y distributed_strategy_*.py ${fleet_proto_dstpath}
           COMMENT "Copy generated python proto into directory paddle/fluid/proto."
 	  COMMENT "Copy generated python proto into directory paddle/distributed/fleet/proto."

paddle/fluid/framework/distributed_strategy.proto

@@ -310,7 +310,7 @@ message DistributedStrategy {
   optional bool asp = 33 [ default = false ];
   optional bool fuse_grad_merge = 34 [ default = false ];
   optional bool semi_auto = 35 [ default = false ];
-  optional bool adam_d2sum = 36 [ default = true ];
+  optional bool adam_d2sum = 36 [ default = false ];
   optional bool auto_search = 37 [ default = false ];
   optional bool heter_ccl_mode = 38 [ default = false ];
 

paddle/fluid/framework/the_one_ps.proto

-// Copyright (c) 2020 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";
-package paddle.distributed;
-option cc_generic_services = true;
-option cc_enable_arenas = true;
-
-message FsClientParameter {
-  enum FsApiType {
-    HDFS = 0;
-    AFS = 1;
-  }
-  optional FsApiType fs_type = 1 [ default = HDFS ];
-  optional string uri = 2;        // such as afs://xxx.afs.com:9902
-  optional string user = 3;       // user_name to access fs
-  optional string passwd = 4;     // password
-  optional int32 buffer_size = 5; // buffer for read/write
-  optional string hadoop_bin = 51;
-  optional string afs_conf = 101;
-}
-
-message PSParameter {
-  optional string worker_class = 1;
-  optional string server_class = 2;
-  optional string instance_class = 3;
-  optional string init_gflags = 4 [ default = "" ];
-  optional WorkerParameter worker_param = 101;
-  optional ServerParameter server_param = 102;
-  repeated DownpourTrainerParameter trainer_param = 301;
-  optional FsClientParameter fs_client_param = 501;
-}
-
-message WorkerParameter {
-  optional DownpourWorkerParameter downpour_worker_param = 1;
-}
-
-message DownpourWorkerParameter {
-  repeated TableParameter downpour_table_param = 1;
-}
-
-message DownpourServerParameter {
-  repeated TableParameter downpour_table_param = 1;
-  optional ServerServiceParameter service_param = 2;
-}
-
-message ServerParameter {
-  optional DownpourServerParameter downpour_server_param = 1;
-}
-
-message DownpourTrainerParameter {
-  repeated DenseTableParameter dense_table = 1;
-  repeated SparseTableParameter sparse_table = 2;
-  optional int32 push_sparse_per_batch = 3;
-  optional int32 push_dense_per_batch = 4;
-  repeated string skip_op = 5;
-  repeated ProgramConfig program_config = 6;
-}
-
-message DenseTableParameter {
-  optional int32 table_id = 1;
-  repeated string dense_variable_name = 2;
-  repeated string dense_gradient_variable_name = 3;
-  optional int32 fea_dim = 4;
-}
-
-message SparseTableParameter {
-  optional int32 table_id = 1;
-  optional int32 feature_dim = 2;
-  repeated string slot_key = 3;
-  repeated string slot_value = 4;
-  repeated string slot_gradient = 5;
-}
-
-message ServerServiceParameter {
-  optional string server_class = 1 [ default = "BrpcPsServer" ];
-  optional string client_class = 2 [ default = "BrpcPsClient" ];
-  optional string service_class = 3 [ default = "BrpcPsService" ];
-  optional uint32 start_server_port = 4
-      [ default = 0 ]; // will find a avaliable port from it
-  optional uint32 server_thread_num = 5 [ default = 12 ];
-}
-
-message ProgramConfig {
-  required string program_id = 1;
-  repeated int32 push_sparse_table_id = 2;
-  repeated int32 push_dense_table_id = 3;
-  repeated int32 pull_sparse_table_id = 4;
-  repeated int32 pull_dense_table_id = 5;
-}
-
-enum TableType {
-  PS_SPARSE_TABLE = 0;
-  PS_DENSE_TABLE = 1;
-  PS_OTHER_TABLE = 2;
-}
-
-message TableParameter {
-  optional uint64 table_id = 1;
-  optional string table_class = 2;
-  optional uint64 shard_num = 3 [ default = 1000 ];
-  optional TableAccessorParameter accessor = 4;
-  optional TensorAccessorParameter tensor = 5;
-  optional CommonAccessorParameter common = 6;
-  optional TableType type = 7;
-  optional bool compress_in_save = 8 [ default = false ];
-}
-
-message TableAccessorParameter {
-  optional string accessor_class = 1;
-  optional uint32 fea_dim = 4 [ default = 11 ];
-  optional uint32 embedx_dim = 5 [ default = 8 ];
-  optional uint32 embedx_threshold = 6 [ default = 10 ];
-  optional CtrAccessorParameter ctr_accessor_param = 7;
-  repeated TableAccessorSaveParameter table_accessor_save_param = 8;
-  optional SparseCommonSGDRuleParameter embed_sgd_param = 10;
-  optional SparseCommonSGDRuleParameter embedx_sgd_param = 11;
-}
-
-message CtrAccessorParameter {
-  optional float nonclk_coeff = 1
-      [ default = 0.1 ]; // to calculate show_click_score
-  optional float click_coeff = 2
-      [ default = 1 ]; // to calculate show_click_score
-  optional float base_threshold = 3 [
-    default = 1.5
-  ]; // show_click_score > base_threshold, this feature can be saved
-  optional float delta_threshold = 4
-      [ default =
-            0.25 ]; // delta_score > delta_threshold, this feature can be saved
-  optional float delta_keep_days = 5
-      [ default =
-            16 ]; // unseen_day < delta_keep_days, this feature can be saved
-  optional float show_click_decay_rate = 6 [
-    default = 0.98
-  ]; // show/click will update to show/click * show_click_decay_rate after a day
-  optional float delete_threshold = 7
-      [ default = 0.8 ]; // threshold to shrink a feasign
-  optional float delete_after_unseen_days = 8
-      [ default = 30 ]; // unseen_day > delete_after_unseen_days, this feature
-                        // will be delete in shrink_model
-  optional int32 ssd_unseenday_threshold = 9
-      [ default = 1 ]; // threshold to save ssd
-}
-
-message TensorAccessorParameter {
-  optional string feed_var_name = 1;
-  optional string fetch_var_name = 2;
-  optional int64 startup_program_id = 3;
-  optional int64 main_program_id = 4;
-  optional string tensor_table_class = 6;
-}
-
-message CommonAccessorParameter {
-  optional string name = 1;
-  optional string table_name = 2;
-  repeated string attributes = 3;
-  repeated string params = 4;
-  repeated uint32 dims = 5;
-  repeated string initializers = 6;
-  optional string entry = 7;
-  optional int32 trainer_num = 8;
-  optional bool sync = 9;
-  optional uint32 table_num = 10;
-  optional uint32 table_dim = 11;
-}
-
-message TableAccessorSaveParameter {
-  optional uint32 param = 1;
-  optional string converter = 2;
-  optional string deconverter = 3;
-}
-
-message SparseCommonSGDRuleParameter {
-  optional string name = 1;
-  optional SparseNaiveSGDRuleParameter naive = 2;
-  optional SparseAdagradSGDRuleParameter adagrad = 3;
-  optional SparseAdamSGDParameter adam = 4;
-}
-
-message SparseNaiveSGDRuleParameter { // SparseNaiveSGDRule
-  optional double learning_rate = 1 [ default = 0.05 ];
-  optional double initial_range = 2 [ default = 0.0001 ];
-  repeated float weight_bounds = 3;
-}
-
-message
-    SparseAdagradSGDRuleParameter { // SparseAdaGradSGDRule|StdAdaGradSGDRule
-  optional double learning_rate = 1 [ default = 0.05 ];
-  optional double initial_g2sum = 2 [ default = 3.0 ];
-  optional double initial_range = 3 [ default = 0.0001 ];
-  repeated float weight_bounds = 4;
-}
-
-message SparseAdamSGDParameter { // SparseAdamSGDRule
-  optional double learning_rate = 1 [ default = 0.001 ];
-  optional double initial_range = 2 [ default = 0.0001 ];
-  optional double beta1_decay_rate = 3 [ default = 0.9 ];
-  optional double beta2_decay_rate = 4 [ default = 0.999 ];
-  optional double ada_epsilon = 5 [ default = 1e-08 ];
-  repeated float weight_bounds = 6;
-}

python/paddle/distributed/fleet/base/distributed_strategy.py

@@ -404,7 +404,7 @@ class DistributedStrategy(object):
     def adam_d2sum(self):
         """
         set adam_d2sum
-        Default value: True
+        Default value: False
 
         Examples:
 
@@ -415,7 +415,7 @@ class DistributedStrategy(object):
             fleet.init(role_maker)
 
             strategy = fleet.DistributedStrategy()
-            strategy.adam_d2sum = True  # by default this is True
+            strategy.adam_d2sum = True  # by default this is False
 
             # code block for defining loss and local optimizer
             # sgd = fleet.distributed_optimizer(optimizer, strategy)

python/paddle/distributed/ps/the_one_ps.py

@@ -609,7 +609,6 @@ class SparseTable(Table):
         check_embedding_dim(table_proto.accessor, self.common.table_name,
                             ctx.program_id(), self.context)
 
-        adam_d2sum = self.context["user_defined_strategy"].adam_d2sum
         self.common.parse_by_optimizer(ctx, self.context)
         self.common.parse_entry(self.common.table_name,
                                 ctx.program_id(), self.context)
@@ -641,7 +640,6 @@ class GeoSparseTable(SparseTable):
 
         self.common.table_name = self.context['grad_name_to_param_name'][
             ctx.origin_varnames()[0]]
-        adam_d2sum = self.context["user_defined_strategy"].adam_d2sum
         self.common.parse_by_optimizer(ctx, self.context)
         self.common.parse_entry(self.common.table_name,
                                 ctx.program_id(), self.context)
@@ -673,7 +671,6 @@ class DenseTable(Table):
         table_proto.accessor.embedx_dim = 1
 
         self.common.table_name = "MergedDense"
-        adam_d2sum = self.context["user_defined_strategy"].adam_d2sum
         self.common.parse_by_optimizer(ctx, self.context)
         self.common.parse_entry(self.common.table_name,
                                 ctx.program_id(), self.context)
@@ -922,11 +919,6 @@ class TheOnePSRuntime(RuntimeBase):
             kwargs["trainer_id"] = self.role_maker._worker_index()
             return kwargs
 
-        proto_txt = worker_desc
-        debug = bool(int(os.getenv("PSERVER_DEBUG", "0")))
-        if debug:
-            print("worker: \n{}".format(proto_txt))
-
         dense_map = get_the_one_recv_context(
             self.context, split_dense_table=self.is_heter_ps_mode)
         send_ctx = get_the_one_send_context(
@@ -937,6 +929,7 @@ class TheOnePSRuntime(RuntimeBase):
         self._send_ctx = send_ctx
         trainer_config = self.context['trainer']
 
+        proto_txt = worker_desc
         debug = bool(int(os.getenv("PSERVER_DEBUG", "0")))
         if debug:
             print("worker: \n{}".format(proto_txt))
@@ -1060,6 +1053,10 @@ class TheOnePSRuntime(RuntimeBase):
         if self.is_heter_ps_mode:
             trainers += len(self.role_maker._get_heter_worker_endpoints())
 
+        # debug = bool(int(os.getenv("PSERVER_DEBUG", "0")))
+        # if debug:
+        #     print("server: \n{}".format(server_desc))
+
         self._server = fluid.core.DistFleetWrapper()
         self._server.init_server(server_desc, self.string_hosts, role_id,
                                  trainers, self._server_sub_program)