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.