---cfgs---
{'seed': 42, 'gpu_id': '0', 'device': 'cuda', 'rng': RandomState(MT19937) at 0x7F9E5FA96E40, 'batch_size': 1, 'dt': 1, 'image_shape': [10], 'duration': 2000, 'tdim': 2000, 'stimPeriod': array([  0, 500]), 'fixationPeriod': array([   0, 1500]), 'decisionPeriod': array([1500, 2000]), 'fixationInput': 0.31622776601683794, 'model_type': 'custom-snn-homo', 'neuron_thr': 0.25, 'num_input': 12, 'num_rnn': 256, 'num_rnn_out': 3, 'num_branch': 2, 'tau_minitializer': 'uniform', 'low_m': 0, 'high_m': 4, 'tau_ninitializer': 'uniform', 'low_n': 0, 'high_n': 4, 'learning_rate': 0.01, 'beta1': 0.1, 'beta2': 0.3, 'weight_decay': 0, 'l2_h': 0.0005, 'l2_wR': 0.001, 'l2_wI': 0.0001, 'l2_wO': 1e-05, 'thr': 0.005, 'problems': 1000, 'iters': 5000, 'max_iters': 5000, 'out_root': './results/snn_homo'}
in2rnn.weight torch.Size([256, 12]) True
rec.weight torch.Size([256, 256]) True
rec.bias torch.Size([256]) True
out.weight torch.Size([3, 256]) True
out.bias torch.Size([3]) True
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problem 436/ iter 2017 / label [1] / loss 0.1494579315185547
problem 436/ iter 2018 / label [0] / loss 0.1615646779537201
problem 436/ iter 2019 / label [1] / loss 0.5682955384254456
problem 436/ iter 2020 / label [0] / loss 0.6299469470977783
problem 436/ iter 2021 / label [1] / loss 0.10324562340974808
problem 436/ iter 2022 / label [1] / loss 0.8919316530227661
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problem 436/ iter 3000 / label [0] / loss 1.023218035697937
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problem 454/ iter 2204 / label [0] / loss 0.005553579889237881
problem 454/ iter 2205 / label [1] / loss 0.005554697010666132
problem 454/ iter 2206 / label [0] / loss 0.005553917959332466
problem 454/ iter 2207 / label [0] / loss 0.005554080940783024
problem 454/ iter 2208 / label [1] / loss 0.005553706549108028
problem 454/ iter 2209 / label [0] / loss 0.005553660914301872
problem 454/ iter 2210 / label [1] / loss 0.005553812719881535
problem 454/ iter 2211 / label [0] / loss 0.005553556140512228
problem 454/ iter 2212 / label [0] / loss 0.005553975701332092
problem 454/ iter 2213 / label [1] / loss 0.005553972441703081
problem 454/ iter 2214 / label [1] / loss 0.005553805734962225
problem 454/ iter 2215 / label [0] / loss 0.005554468836635351
problem 454/ iter 2216 / label [1] / loss 0.005553813651204109
problem 454/ iter 2217 / label [1] / loss 0.31533417105674744
problem 454/ iter 2218 / label [0] / loss 0.005553229711949825
problem 454/ iter 2219 / label [0] / loss 0.005553155206143856
problem 454/ iter 2220 / label [1] / loss 0.005553807131946087
problem 454/ iter 2221 / label [1] / loss 0.005553053226321936
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problem 454/ iter 2224 / label [0] / loss 0.0055531407706439495
problem 454/ iter 2225 / label [1] / loss 0.005553156137466431
problem 454/ iter 2226 / label [0] / loss 0.00555315101519227
problem 454/ iter 2227 / label [1] / loss 0.005553047638386488
problem 454/ iter 2228 / label [0] / loss 0.005553156603127718
problem 454/ iter 2229 / label [0] / loss 0.005553237162530422
problem 454/ iter 2230 / label [1] / loss 0.0055535342544317245
problem 454/ iter 2231 / label [0] / loss 0.005553288385272026
problem 454/ iter 2232 / label [0] / loss 0.005553240887820721
problem 454/ iter 2233 / label [0] / loss 0.00555344158783555
problem 454/ iter 2234 / label [0] / loss 0.005553257651627064
problem 454/ iter 2235 / label [1] / loss 0.005553175695240498
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problem 454/ iter 2240 / label [1] / loss 0.005553276278078556
problem 454/ iter 2241 / label [1] / loss 0.0055533163249492645
problem 454/ iter 2242 / label [0] / loss 0.005553213879466057
problem 454/ iter 2243 / label [1] / loss 0.005553661845624447
problem 454/ iter 2244 / label [0] / loss 0.00555373914539814
problem 454/ iter 2245 / label [1] / loss 0.005553828552365303
problem 454/ iter 2246 / label [0] / loss 0.0055534145794808865
problem 454/ iter 2247 / label [1] / loss 0.005553249269723892
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problem 454/ iter 2249 / label [1] / loss 0.0055533600971102715
problem 454/ iter 2250 / label [0] / loss 0.005553423427045345
problem 454/ iter 2251 / label [0] / loss 0.005553518421947956
problem 454/ iter 2252 / label [1] / loss 0.005553730763494968
problem 454/ iter 2253 / label [1] / loss 0.005553238093852997
problem 454/ iter 2254 / label [0] / loss 0.00555360596626997
problem 454/ iter 2255 / label [1] / loss 0.005554072093218565
problem 454/ iter 2256 / label [1] / loss 0.005553591996431351
problem 454/ iter 2257 / label [0] / loss 0.005553899798542261
problem 454/ iter 2258 / label [0] / loss 0.00555372005328536
problem 454/ iter 2259 / label [0] / loss 0.0055532814003527164
problem 454/ iter 2260 / label [1] / loss 0.005553408991545439
problem 454/ iter 2261 / label [0] / loss 0.005553252995014191
problem 454/ iter 2262 / label [0] / loss 0.005553577095270157
problem 454/ iter 2263 / label [0] / loss 0.0055535282008349895
problem 454/ iter 2264 / label [0] / loss 0.005553907249122858
problem 454/ iter 2265 / label [1] / loss 0.005553277209401131
problem 454/ iter 2266 / label [1] / loss 0.005553646013140678
