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import torch
from safetensors.torch import load_file
def load_model(path='model.safetensors'):
return load_file(path)
def iszero8(bits, weights):
inp = torch.tensor([float(b) for b in bits])
return int((inp @ weights['neuron.weight'].T + weights['neuron.bias'] >= 0).item())
if __name__ == '__main__':
w = load_model()
print('iszero8: outputs 1 only for input 00000000')
for i in [0, 1, 128, 255]:
bits = [(i >> j) & 1 for j in range(8)]
print(f' {i:08b} -> {iszero8(bits, w)}')
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