[ONN] Add batch norm layer to nerlplanner

Author: leondavi

src_cpp/common/worker_definitions_ag.h

@@ -1,11 +1,11 @@
 #pragma once
 
 // This file was auto generated
-// Generated by Nerlplanner version: 1.0.2
+// Generated by Nerlplanner version: 1.0.3
 
 namespace nerlnet {
 
-enum LayerTypeEnum{LAYER_TYPE_DEFAULT=0,LAYER_TYPE_SCALING=1,LAYER_TYPE_CONV=2,LAYER_TYPE_PERCEPTRON=3,LAYER_TYPE_POOLING=4,LAYER_TYPE_PROBABILISTIC=5,LAYER_TYPE_LSTM=6,LAYER_TYPE_RECCURRENT=7,LAYER_TYPE_UNSCALING=8,LAYER_TYPE_FLATTEN=9,LAYER_TYPE_BOUNDING=10};
+enum LayerTypeEnum{LAYER_TYPE_DEFAULT=0,LAYER_TYPE_SCALING=1,LAYER_TYPE_CONV=2,LAYER_TYPE_PERCEPTRON=3,LAYER_TYPE_POOLING=4,LAYER_TYPE_PROBABILISTIC=5,LAYER_TYPE_BATCHNORMALIZATION=6,LAYER_TYPE_LSTM=7,LAYER_TYPE_RECCURRENT=8,LAYER_TYPE_UNSCALING=9,LAYER_TYPE_FLATTEN=10,LAYER_TYPE_BOUNDING=11};
 enum ProbabilisticActivationEnum{PROBABILISTIC_ACTIVATION_BINARY=1,PROBABILISTIC_ACTIVATION_LOGISTIC=2,PROBABILISTIC_ACTIVATION_COMPETITIVE=3,PROBABILISTIC_ACTIVATION_SOFTMAX=4};
 enum ScalingEnum{SCALING_NONE=1,SCALING_MINMAX=2,SCALING_MEANSTD=3,SCALING_STD=4,SCALING_LOG=5};
 enum BoundingEnum{BOUNDING_NONE=1,BOUNDING_BOUNDING=2};

src_erl/NerlnetApp/src/Bridge/layers_types_ag.hrl

@@ -1,14 +1,15 @@
 % This is an auto generated .hrl file
-% DC Fields Generated by Nerlplanner version: 1.0.2
+% DC Fields Generated by Nerlplanner version: 1.0.3
 
 -define(LAYERS_TYPE_DEFAULT_IDX,"0").
 -define(LAYERS_TYPE_SCALING_IDX,"1").
 -define(LAYERS_TYPE_CONV_IDX,"2").
 -define(LAYERS_TYPE_PERCEPTRON_IDX,"3").
 -define(LAYERS_TYPE_POOLING_IDX,"4").
 -define(LAYERS_TYPE_PROBABILISTIC_IDX,"5").
--define(LAYERS_TYPE_LSTM_IDX,"6").
--define(LAYERS_TYPE_RECCURRENT_IDX,"7").
--define(LAYERS_TYPE_UNSCALING_IDX,"8").
--define(LAYERS_TYPE_FLATTEN_IDX,"9").
--define(LAYERS_TYPE_BOUNDING_IDX,"10").
+-define(LAYERS_TYPE_BATCHNORMALIZATION_IDX,"6").
+-define(LAYERS_TYPE_LSTM_IDX,"7").
+-define(LAYERS_TYPE_RECCURRENT_IDX,"8").
+-define(LAYERS_TYPE_UNSCALING_IDX,"9").
+-define(LAYERS_TYPE_FLATTEN_IDX,"10").
+-define(LAYERS_TYPE_BOUNDING_IDX,"11").

src_erl/NerlnetApp/src/Bridge/models_types_ag.hrl

@@ -1,5 +1,5 @@
 % This is an auto generated .hrl file
-% DC Fields Generated by Nerlplanner version: 1.0.2
+% DC Fields Generated by Nerlplanner version: 1.0.3
 
 -define(MODEL_TYPE_NN_IDX,"0").
 -define(MODEL_TYPE_APPROXIMATION_IDX,"1").

src_erl/NerlnetApp/src/Bridge/neural_networks_testing_models.hrl

@@ -19,7 +19,7 @@
                                 _ModelTypeCNN = "0",
                                 _ModelArgsCNN = "",
                                 _LayersSizesCNN = "28x28x1k5x5x1x6p0s1t1,28x28x6k2x2p0s2,14x14x6k4x4x6x12p0s1t0,1,32,10",
-                                _LayersTypesCNN = "2,4,2,9,3,5",
+                                _LayersTypesCNN = "2,4,2,10,3,5",
                                 _LayersFunctionalityCodesCNN = "6,2,6,6,6,4", % change scaler functionality to 6 to check exception handling
                                 _LearningRateCNN = "0.01",
                                 _EpochsCNN = "50",
@@ -33,7 +33,7 @@
                                 _ModelTypeAEC = "9",
                                 _ModelArgsAEC = "",
                                 _LayersSizesAEC = "32,16,8,4,8,16,32,32", % last layer (perceptron) should be the same as the input layer , followed by bounding layer
-                                _LayersTypesAEC = "1,3,3,3,3,3,3,10",
+                                _LayersTypesAEC = "1,3,3,3,3,3,3,11",
                                 _LayersFunctionalityCodesAEC = "1,11,11,11,11,11,11,1", 
                                 _LearningRateAEC = "0.01",
                                 _EpochsAEC = "50",
@@ -47,7 +47,7 @@
                                 _ModelTypeAE = "8",
                                 _ModelArgsAE = "",
                                 _LayersSizesAE = "32,16,8,4,8,16,32,32", % last layer (perceptron) should be the same as the input layer , followed by bounding layer
-                                _LayersTypesAE = "1,3,3,3,3,3,3,10",
+                                _LayersTypesAE = "1,3,3,3,3,3,3,11",
                                 _LayersFunctionalityCodesAE = "1,11,11,11,11,11,11,1", 
                                 _LearningRateAE = "0.01",
                                 _EpochsAE = "50",

src_erl/NerlnetApp/src/dc_definitions_ag.hrl

@@ -1,5 +1,5 @@
 % This is an auto generated .hrl file
-% DC Fields Generated by Nerlplanner version: 1.0.2
+% DC Fields Generated by Nerlplanner version: 1.0.3
 
 -define(DC_KEY_NERLNET_SETTINGS_ATOM,nerlnetSettings).
 -define(DC_KEY_FREQUENCY_ATOM,frequency).

src_erl/NerlnetApp/src/nerlnetApp.app.src

@@ -1,6 +1,6 @@
 {application, nerlnetApp,
  [{description, "Nerlnet OTP Application"},
-  {vsn, "1.4.0"},
+  {vsn, "1.5.1"},
   {registered, []},
   {mod, {nerlnetApp_app, []}},
   {applications,

src_erl/NerlnetApp/src/nerlnetApp_app.erl

@@ -20,8 +20,8 @@
 -behaviour(application).
 -include("nerl_tools.hrl").
 
--define(NERLNET_APP_VERSION, "1.5.0").
--define(NERLPLANNER_TESTED_VERSION,"1.0.2").
+-define(NERLNET_APP_VERSION, "1.5.1").
+-define(NERLPLANNER_TESTED_VERSION,"1.0.3").
 
 -export([start/2, stop/1]).
 

src_erl/NerlnetApp/src/router_definitions_ag.hrl

@@ -1,5 +1,5 @@
 % This is an auto generated .hrl file
-% Source Fields Generated by Nerlplanner version: 1.0.2
+% Source Fields Generated by Nerlplanner version: 1.0.3
 
 -define(ROUTER_POLICY_ROUTINGTABLE_IDX,"0").
 

src_erl/NerlnetApp/src/source_definitions_ag.hrl

@@ -1,5 +1,5 @@
 % This is an auto generated .hrl file
-% Source Fields Generated by Nerlplanner version: 1.0.2
+% Source Fields Generated by Nerlplanner version: 1.0.3
 
 -define(SOURCE_POLICY_CASTING_IDX,"0").
 -define(SOURCE_POLICY_ROUNDROBIN_IDX,"1").

src_erl/NerlnetApp/src/worker_definitions_ag.hrl

@@ -1,5 +1,5 @@
 % This is an auto generated .hrl file
-% Worker Fields Generated by Nerlplanner version: 1.0.2
+% Worker Fields Generated by Nerlplanner version: 1.0.3
 
 -define(WORKER_FIELD_KEY_MODEL_TYPE,modelType).
 -define(WORKER_FIELD_KEY_MODEL_ARGS,modelArgs).