nohup: ignoring input
---cfgs---
{'seed': 42, 'gpu_id': '0', 'device': 'cuda', 'rng': RandomState(MT19937) at 0x7F7C470A0440, 'batch_size': 1, 'dt': 1, 'image_shape': [2], 'duration': 2000, 'tdim': 2000, 'stimPeriod': array([  0, 500]), 'fixationPeriod': array([   0, 1500]), 'decisionPeriod': array([1500, 2000]), 'fixationInput': 0.7071067811865475, 'data_type': 2, 'model_type': 'custom-transformer', 'neuron_thr': 0.25, 'num_input': 3, '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': 0.0001, 'beta1': 0.3, 'beta2': 0.999, 'weight_decay': 0, 'l2_h': 0.0005, 'l2_wR': 0.001, 'l2_wI': 0.0001, 'l2_wO': 0.1, 'thr': 0.005, 'problems': 1000, 'iters': 5000, 'max_iters': 5000, 'out_root': './results/transformer_h1'}
input_proj.weight torch.Size([256, 3]) True
input_proj.bias torch.Size([256]) True
transformer_decoder.layers.0.self_attn.in_proj_weight torch.Size([768, 256]) True
transformer_decoder.layers.0.self_attn.in_proj_bias torch.Size([768]) True
transformer_decoder.layers.0.self_attn.out_proj.weight torch.Size([256, 256]) True
transformer_decoder.layers.0.self_attn.out_proj.bias torch.Size([256]) True
transformer_decoder.layers.0.norm.weight torch.Size([256]) True
transformer_decoder.layers.0.norm.bias torch.Size([256]) True
fc_out.weight torch.Size([3, 256]) True
fc_out.bias torch.Size([3]) True
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problem 802/ iter 1024 / label [0] / loss 0.11828570812940598
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problem 802/ iter 1080 / label [0] / loss 0.12601418793201447
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problem 802/ iter 1150 / label [1] / loss 0.028929486870765686
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