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SNABSuite
0.x
Spiking Neural Architecture Benchmark Suite
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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