| SNABSuite
    0.x
    Spiking Neural Architecture Benchmark Suite | 
| Classes | |
| class | WeightClip | 
| Variables | |
| parser = argparse.ArgumentParser(description='Converts a Keras model to json interpreted by the respective SNAB') | |
| help | |
| required | |
| args = parser.parse_args() | |
| json_file = open(args.a).read() | |
| model = model_from_json(json_file) | |
| netw = json.loads(json_file) | |
| dictionary | data = {} | 
| list | input_shape = [] | 
| dictionary | layer_dict = {} | 
| layer_name = layer["config"]["name"] | |
| file | |
| use_single_float | |
| convert_weights.args = parser.parse_args() | 
Definition at line 7 of file convert_weights.py.
| convert_weights.data = {} | 
Definition at line 33 of file convert_weights.py.
| convert_weights.file | 
Definition at line 102 of file convert_weights.py.
| convert_weights.help | 
Definition at line 4 of file convert_weights.py.
| list convert_weights.input_shape = [] | 
Definition at line 34 of file convert_weights.py.
| convert_weights.json_file = open(args.a).read() | 
Definition at line 28 of file convert_weights.py.
| dictionary convert_weights.layer_dict = {} | 
Definition at line 40 of file convert_weights.py.
| convert_weights.layer_name = layer["config"]["name"] | 
Definition at line 57 of file convert_weights.py.
| convert_weights.model = model_from_json(json_file) | 
Definition at line 29 of file convert_weights.py.
| convert_weights.netw = json.loads(json_file) | 
Definition at line 31 of file convert_weights.py.
| convert_weights.parser = argparse.ArgumentParser(description='Converts a Keras model to json interpreted by the respective SNAB') | 
Definition at line 3 of file convert_weights.py.
| convert_weights.required | 
Definition at line 4 of file convert_weights.py.
| convert_weights.use_single_float | 
Definition at line 102 of file convert_weights.py.
 1.8.11
 1.8.11