CNNTrain.mc4 9.88 KB
Newer Older
Thomas Michael Timmermanns's avatar
Thomas Michael Timmermanns committed
1
package de.monticore.lang.monticar;
Thomas Michael Timmermanns's avatar
Thomas Michael Timmermanns committed
2

3
grammar CNNTrain extends de.monticore.lang.monticar.Common2, de.monticore.NumberUnit{
Thomas Michael Timmermanns's avatar
Thomas Michael Timmermanns committed
4

5
    symbol scope CNNTrainCompilationUnit = "configuration"
6
                                 name:Name&
7
8
9
                                 Configuration;

    Configuration =  "{"entries:ConfigEntry* "}";
10

Thomas Michael Timmermanns's avatar
Thomas Michael Timmermanns committed
11
12
13
14
15
    interface Entry;
    ast Entry = method String getName(){}
                method ASTConfigValue getValue(){};
    interface ConfigValue;
    interface ConfigEntry extends Entry;
16
17
    interface VariableReference;
    ast VariableReference = method String getName(){};
18

Thomas Michael Timmermanns's avatar
Thomas Michael Timmermanns committed
19
20
    NumEpochEntry implements ConfigEntry = name:"num_epoch" ":" value:IntegerValue;
    BatchSizeEntry implements ConfigEntry = name:"batch_size" ":" value:IntegerValue;
21
    LoadCheckpointEntry implements ConfigEntry = name:"load_checkpoint" ":" value:BooleanValue;
22
    NormalizeEntry implements ConfigEntry = name:"normalize" ":" value:BooleanValue;
23
    OptimizerEntry implements ConfigEntry = name:"optimizer" ":" value:OptimizerValue;
24
    TrainContextEntry implements ConfigEntry = name:"context" ":" value:TrainContextValue;
25
    EvalMetricEntry implements ConfigEntry = name:"eval_metric" ":" value:EvalMetricValue;
26
    LossEntry implements ConfigEntry = name:"loss" ":" value:LossValue;
27
28
29
30
31
32
33
34

    EvalMetricValue implements ConfigValue =(accuracy:"accuracy"
                                               | crossEntropy:"cross_entropy"
                                               | f1:"f1"
                                               | mae:"mae"
                                               | mse:"mse"
                                               | rmse:"rmse"
                                               | topKAccuracy:"top_k_accuracy");
35

Nicola Gatto's avatar
Nicola Gatto committed
36
37
38
39
    LossValue implements ConfigValue =(euclidean:"euclidean"
                                           | l1: "l1"
                                           | crossEntropy:"cross_entropy"
                                           | huberLoss: "huber_loss");
40

Thomas Michael Timmermanns's avatar
Thomas Michael Timmermanns committed
41
42
43
44
45
46
    LRPolicyValue implements ConfigValue =(fixed:"fixed"
                                         | step:"step"
                                         | exp:"exp"
                                         | inv:"inv"
                                         | poly:"poly"
                                         | sigmoid:"sigmoid");
47
    TrainContextValue implements ConfigValue = (cpu:"cpu" | gpu:"gpu");
48
49


50
    DataVariable implements VariableReference = Name&;
51
52
    IntegerValue implements ConfigValue = NumberWithUnit;
    NumberValue implements ConfigValue = NumberWithUnit;
Nicola Gatto's avatar
Nicola Gatto committed
53
    StringValue implements ConfigValue = StringLiteral;
Thomas Michael Timmermanns's avatar
Thomas Michael Timmermanns committed
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
    BooleanValue implements ConfigValue = (TRUE:"true" | FALSE:"false");

    interface OptimizerValue extends ConfigValue;

    interface SGDEntry extends Entry;
    SGDOptimizer implements OptimizerValue = name:"sgd" ("{" params:SGDEntry* "}")?;

    interface AdamEntry extends Entry;
    AdamOptimizer implements OptimizerValue = name:"adam" ("{" params:AdamEntry* "}")?;

    interface RmsPropEntry extends Entry;
    RmsPropOptimizer implements OptimizerValue = name:"rmsprop" ("{" params:RmsPropEntry* "}")?;

    interface AdaGradEntry extends Entry;
    AdaGradOptimizer implements OptimizerValue = name:"adagrad" ("{" params:AdaGradEntry* "}")?;

    NesterovOptimizer implements OptimizerValue = name:"nag" ("{" params:SGDEntry* "}")?;

    interface AdaDeltaEntry extends Entry;
    AdaDeltaOptimizer implements OptimizerValue = name:"adadelta" ("{" params:AdaDeltaEntry* "}")?;

    interface GeneralOptimizerEntry extends SGDEntry,AdamEntry,RmsPropEntry,AdaGradEntry,AdaDeltaEntry;

77
    MinimumLearningRateEntry implements GeneralOptimizerEntry = name:"learning_rate_minimum" ":" value:NumberValue;
Thomas Michael Timmermanns's avatar
Thomas Michael Timmermanns committed
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
    LearningRateEntry implements GeneralOptimizerEntry = name:"learning_rate" ":" value:NumberValue;
    WeightDecayEntry implements GeneralOptimizerEntry = name:"weight_decay" ":" value:NumberValue;
    LRDecayEntry implements GeneralOptimizerEntry = name:"learning_rate_decay" ":" value:NumberValue;
    LRPolicyEntry implements GeneralOptimizerEntry = name:"learning_rate_policy" ":" value:LRPolicyValue;
    RescaleGradEntry implements GeneralOptimizerEntry = name:"rescale_grad" ":" value:NumberValue;
    ClipGradEntry implements GeneralOptimizerEntry = name:"clip_gradient" ":" value:NumberValue;
    StepSizeEntry implements GeneralOptimizerEntry = name:"step_size" ":" value:IntegerValue;


    MomentumEntry implements SGDEntry = name:"momentum" ":" value:NumberValue;
    Beta1Entry implements AdamEntry = name:"beta1" ":" value:NumberValue;
    Beta2Entry implements AdamEntry = name:"beta2" ":" value:NumberValue;
    EpsilonEntry implements AdamEntry,AdaGradEntry,RmsPropEntry,AdaDeltaEntry = name:"epsilon" ":" value:NumberValue;
    Gamma1Entry implements RmsPropEntry = name:"gamma1" ":" value:NumberValue;
    Gamma2Entry implements RmsPropEntry = name:"gamma2" ":" value:NumberValue;
    CenteredEntry implements RmsPropEntry = name:"centered" ":" value:BooleanValue;
    ClipWeightsEntry implements RmsPropEntry = name:"clip_weights" ":" value:NumberValue;
    RhoEntry implements AdaDeltaEntry = name:"rho" ":" value:NumberValue;
Thomas Michael Timmermanns's avatar
Thomas Michael Timmermanns committed
96

Nicola Gatto's avatar
Nicola Gatto committed
97
98
99
100
    // Reinforcement Extensions
    interface MultiParamValue extends ConfigValue;

    LearningMethodEntry implements ConfigEntry = name:"learning_method" ":" value:LearningMethodValue;
Nicola Gatto's avatar
Nicola Gatto committed
101
    RLAlgorithmEntry implements ConfigEntry = name:"rl_algorithm" ":" value:RLAlgorithmValue;
Nicola Gatto's avatar
Nicola Gatto committed
102
103
104
105
106
107
108
109
110
111
112
    NumEpisodesEntry implements ConfigEntry = name:"num_episodes" ":" value:IntegerValue;
    DiscountFactorEntry implements ConfigEntry = name:"discount_factor" ":" value:NumberValue;
    NumMaxStepsEntry implements ConfigEntry = name:"num_max_steps" ":" value:IntegerValue;
    TargetScoreEntry implements ConfigEntry = name:"target_score" ":" value:NumberValue;
    TrainingIntervalEntry implements ConfigEntry = name:"training_interval" ":" value:IntegerValue;
    UseFixTargetNetworkEntry implements ConfigEntry = name:"use_fix_target_network" ":" value:BooleanValue;
    TargetNetworkUpdateIntervalEntry implements ConfigEntry = name:"target_network_update_interval" ":" value:IntegerValue;
    SnapshotIntervalEntry implements ConfigEntry = name:"snapshot_interval" ":" value:IntegerValue;
    AgentNameEntry implements ConfigEntry = name:"agent_name" ":" value:StringValue;
    UseDoubleDQNEntry implements ConfigEntry = name:"use_double_dqn" ":" value:BooleanValue;
    RewardFunctionEntry implements ConfigEntry = name:"reward_function" ":" value:ComponentNameValue;
Nicola Gatto's avatar
Nicola Gatto committed
113
    CriticNetworkEntry implements ConfigEntry = name:"critic" ":" value:ComponentNameValue;
Nicola Gatto's avatar
Nicola Gatto committed
114
115
116
117
118

    ComponentNameValue implements ConfigValue = Name ("."Name)*;

    LearningMethodValue implements ConfigValue = (supervisedLearning:"supervised" | reinforcement:"reinforcement");

Nicola Gatto's avatar
Nicola Gatto committed
119
120
    RLAlgorithmValue implements ConfigValue = (dqn:"dqn-algorithm" | ddpg:"ddpg-algorithm");

Nicola Gatto's avatar
Nicola Gatto committed
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
    interface MultiParamConfigEntry extends ConfigEntry;

    // Replay Memory
    ReplayMemoryEntry implements MultiParamConfigEntry = name:"replay_memory" ":" value:ReplayMemoryValue;
    interface ReplayMemoryValue extends MultiParamValue;

    interface ReplayMemoryBufferEntry extends Entry;
    ReplayMemoryBufferValue implements ReplayMemoryValue = name:"buffer" ("{" params:ReplayMemoryBufferEntry* "}")?;

    ReplayMemoryOnlineValue implements ReplayMemoryValue = name:"online";

    interface ReplayMemoryCombinedEntry extends Entry;
    ReplayMemoryCombinedValue implements ReplayMemoryValue = name:"combined" ("{" params:ReplayMemoryCombinedEntry* "}")?;

    interface GeneralReplayMemoryEntry extends ReplayMemoryBufferEntry, ReplayMemoryCombinedEntry;

    MemorySizeEntry implements GeneralReplayMemoryEntry = name:"memory_size" ":" value:IntegerValue;
    SampleSizeEntry implements GeneralReplayMemoryEntry = name:"sample_size" ":" value:IntegerValue;

    // Action Selection
    ActionSelectionEntry implements MultiParamConfigEntry = name:"action_selection" ":" value:ActionSelectionValue;
    interface ActionSelectionValue extends MultiParamValue;

    interface ActionSelectionEpsGreedyEntry extends Entry;
    ActionSelectionEpsGreedyValue implements ActionSelectionValue = name:"epsgreedy" ("{" params:ActionSelectionEpsGreedyEntry* "}")?;

    GreedyEpsilonEntry implements ActionSelectionEpsGreedyEntry = name:"epsilon" ":" value:NumberValue;
    MinEpsilonEntry implements ActionSelectionEpsGreedyEntry = name:"min_epsilon" ":" value:NumberValue;
    EpsilonDecayMethodEntry implements ActionSelectionEpsGreedyEntry = name:"epsilon_decay_method" ":" value:EpsilonDecayMethodValue;
    EpsilonDecayMethodValue implements ConfigValue = (linear:"linear" | no:"no");
    EpsilonDecayEntry implements ActionSelectionEpsGreedyEntry = name:"epsilon_decay" ":" value:NumberValue;

    // Environment
    EnvironmentEntry implements MultiParamConfigEntry = name:"environment" ":" value:EnvironmentValue;
    interface EnvironmentValue extends MultiParamValue;

    interface GymEnvironmentEntry extends Entry;
    GymEnvironmentValue implements EnvironmentValue = name:"gym" ("{" params:GymEnvironmentEntry* "}");
    GymEnvironmentNameEntry implements GymEnvironmentEntry = name:"name" ":" value:StringValue;

    interface RosEnvironmentEntry extends Entry;
    RosEnvironmentValue implements EnvironmentValue = | name:"ros_interface" ("{" params:RosEnvironmentEntry* "}")?;
    RosEnvironmentStateTopicEntry implements RosEnvironmentEntry = name:"state_topic" ":" value:StringValue;
    RosEnvironmentActionTopicEntry implements RosEnvironmentEntry = name:"action_topic" ":" value:StringValue;
    RosEnvironmentResetTopicEntry implements RosEnvironmentEntry = name:"reset_topic" ":" value:StringValue;
    RosEnvironmentGreetingTopicEntry implements RosEnvironmentEntry = name:"greeting_topic" ":" value:StringValue;
    RosEnvironmentMetaTopicEntry implements RosEnvironmentEntry = name:"meta_topic" ":" value:StringValue;
    RosEnvironmentTerminalStateTopicEntry implements RosEnvironmentEntry = name:"terminal_state_topic" ":" value:StringValue;
Thomas Michael Timmermanns's avatar
Thomas Michael Timmermanns committed
169
}