Some codes and results about our paper, here is the structure of our directory:
/src: High level interface of out implementation of model generator across frameworks by JSON
configuration: Some configurations and basic settings
dataset: Dataset across frameworks API
grammar: Grammar checker for model generation
interpreter: Model Interpreter for model generating across frameworks by JSON
metrics: Metrics across frameworks API
optimizers: Optimizers across frameworks API
test_process: Test process across frameworks API
train_process: Train process across frameworks API
model_json.py: Entrance implementation for model generation
*.json: Examples for JSON files
/torchsummary: Open source package for the function of summary() for PyTorch
/trials: Codes about Gandalf experiments
classical: An implementation of Audee with models of VGG16, Lenet-5 and Resnet-20
envs: The test environment for our testing process, currently, only the environment of CNN2d is supported
dqn: The main implementation of out method and random method
results: Some results of our experiments
Through our method, we have found some serious faults for Tensorflow and PyTorch, and we have submitted them to the issues as follow, most of them are accepted:
Gandalf
Some codes and results about our paper, here is the structure of our directory:
/src: High level interface of out implementation of model generator across frameworks by JSON
/torchsummary: Open source package for the function of summary() for PyTorch
/trials: Codes about Gandalf experiments
classical: An implementation of Audee with models of VGG16, Lenet-5 and Resnet-20
envs: The test environment for our testing process, currently, only the environment of CNN2d is supported
dqn: The main implementation of out method and random method
results: Some results of our experiments
Through our method, we have found some serious faults for Tensorflow and PyTorch, and we have submitted them to the issues as follow, most of them are accepted: