Adaptation of the paper A Syntactic Neural Model for General-Purpose Code Generation to code completion.
To visualise the AST of a .java file:
./scripts/sh_compile_and_visualise.sh -v -- ./test/Example.java
Tests/Debug:
python ./test/test_compute_action_sequence.py --max-num-file=10 ../../corpus-features/jsoup/
python ./test/test_tensorise_sequence.py --max-num-file=10 ../../corpus-features/jsoup/
python ./test/test_compute_grammar.py --max-num-file=10 ../../corpus-features/jsoup/
python ./test/test_compute_vocabulary.py --max-num-file=10 ./test
Compute data:
python train.py --compute-data\
--saved-data-dir="./data"\
--train-data-dir="../corpus-features"\
--log-file="./logs/training.log"\
--tensorboard-logs-path="./logs_tensorboard"\
--max-num-files 50
Train:
python train.py --model='v2'\
--save-dir="./trained_models"\
--saved-data-dir="./data/250"\
--log-file='./logs/training.log'\
--tensorboard-logs-path="./logs_tensorboard"\
--max-num-epochs 100\
--patience 5
Hyper-parameter search:
python hyper_parameter_search.py --model='v2'\
--save-dir="./trained_models"\
--saved-data-dir="./data/250"\
--log-file='./logs/training.log'\
--log-file-hyperparams='./logs'\
--tensorboard-logs-path="./logs_tensorboard"\
--max-num-epochs 5\
--patience 10
Evaluate:
python evaluate.py --trained-model="trained_models/RNNModel-2020-03-05-15-24-55_best_model.bin"\
--saved-data-dir="./data/250"\
--model="v1"\
--qualitative
Compute training data statistics:
python read_training_data.py --train-data-dir="../corpus-features"
Best models trained:
v1 RNNModel-2020-03-05-15-24-55_best_model.bin
trained on 5000 trained files, --max-num-epochs 400 --patience 10
train_data: Loss 0.0043, Acc 0.827
valid_data: Loss 0.0057, Acc 0.806
seen_test_data: Loss 0.0056, Acc 0.808
unseen_test_data: Loss 0.0066, Acc 0.778
v2
trained on 5000 trained files
- A Node has two important fields: .type(Type of node in our own AST) and .contents(Java Symbol Type)
- Each variable in
int a, b, chas a nodeVARIABLEthat has an individual childTYPE, and all three type nodes are connected to the samePRIMITIVE_TYPE
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