[2024-03-06 18:13:36,733] INFO: Will use torch.nn.parallel.DistributedDataParallel() and 4 gpus [2024-03-06 18:13:36,735] INFO: NVIDIA GeForce GTX 1080 Ti [2024-03-06 18:13:36,735] INFO: NVIDIA GeForce GTX 1080 Ti [2024-03-06 18:13:36,735] INFO: NVIDIA GeForce GTX 1080 Ti [2024-03-06 18:13:36,735] INFO: NVIDIA GeForce GTX 1080 Ti [2024-03-06 18:13:45,779] INFO: using attention_type=efficient [2024-03-06 18:13:45,787] INFO: using attention_type=efficient [2024-03-06 18:13:45,795] INFO: using attention_type=efficient [2024-03-06 18:13:45,803] INFO: using attention_type=efficient [2024-03-06 18:13:45,811] INFO: using attention_type=efficient [2024-03-06 18:13:45,819] INFO: using attention_type=efficient [2024-03-06 18:13:49,143] INFO: DistributedDataParallel( (module): MLPF( (nn0): Sequential( (0): Linear(in_features=42, out_features=256, bias=True) (1): ELU(alpha=1.0) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (3): Dropout(p=0.3, inplace=False) (4): Linear(in_features=256, out_features=256, bias=True) ) (conv_id): ModuleList( (0-2): 3 x SelfAttentionLayer( (mha): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, bias=True) ) (norm0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (norm1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (seq): Sequential( (0): Linear(in_features=256, out_features=256, bias=True) (1): ELU(alpha=1.0) (2): Linear(in_features=256, out_features=256, bias=True) (3): ELU(alpha=1.0) ) (dropout): Dropout(p=0.3, inplace=False) ) ) (conv_reg): ModuleList( (0-2): 3 x SelfAttentionLayer( (mha): MultiheadAttention( (out_proj): NonDynamicallyQuantizableLinear(in_features=256, out_features=256, bias=True) ) (norm0): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (norm1): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (seq): Sequential( (0): Linear(in_features=256, out_features=256, bias=True) (1): ELU(alpha=1.0) (2): Linear(in_features=256, out_features=256, bias=True) (3): ELU(alpha=1.0) ) (dropout): Dropout(p=0.3, inplace=False) ) ) (nn_id): Sequential( (0): Linear(in_features=810, out_features=256, bias=True) (1): ELU(alpha=1.0) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (3): Dropout(p=0.3, inplace=False) (4): Linear(in_features=256, out_features=9, bias=True) ) (nn_pt): RegressionOutput( (nn): Sequential( (0): Linear(in_features=819, out_features=256, bias=True) (1): ELU(alpha=1.0) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (3): Dropout(p=0.3, inplace=False) (4): Linear(in_features=256, out_features=2, bias=True) ) ) (nn_eta): RegressionOutput( (nn): Sequential( (0): Linear(in_features=819, out_features=256, bias=True) (1): ELU(alpha=1.0) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (3): Dropout(p=0.3, inplace=False) (4): Linear(in_features=256, out_features=2, bias=True) ) ) (nn_sin_phi): RegressionOutput( (nn): Sequential( (0): Linear(in_features=819, out_features=256, bias=True) (1): ELU(alpha=1.0) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (3): Dropout(p=0.3, inplace=False) (4): Linear(in_features=256, out_features=2, bias=True) ) ) (nn_cos_phi): RegressionOutput( (nn): Sequential( (0): Linear(in_features=819, out_features=256, bias=True) (1): ELU(alpha=1.0) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (3): Dropout(p=0.3, inplace=False) (4): Linear(in_features=256, out_features=2, bias=True) ) ) (nn_energy): RegressionOutput( (nn): Sequential( (0): Linear(in_features=819, out_features=256, bias=True) (1): ELU(alpha=1.0) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (3): Dropout(p=0.3, inplace=False) (4): Linear(in_features=256, out_features=2, bias=True) ) ) (nn_charge): Sequential( (0): Linear(in_features=819, out_features=256, bias=True) (1): ELU(alpha=1.0) (2): LayerNorm((256,), eps=1e-05, elementwise_affine=True) (3): Dropout(p=0.3, inplace=False) (4): Linear(in_features=256, out_features=3, bias=True) ) ) ) [2024-03-06 18:13:49,145] INFO: Trainable parameters: 3928342 [2024-03-06 18:13:49,145] INFO: Non-trainable parameters: 0 [2024-03-06 18:13:49,145] INFO: Total parameters: 3928342 [2024-03-06 18:13:49,158] INFO: Modules Trainable params Non-tranable params Trainable Parameters Non-tranable Parameters module.nn0.0.weight NaN NaN 10752.0 - module.nn0.0.bias NaN NaN 256.0 - module.nn0.2.weight NaN NaN 256.0 - module.nn0.2.bias NaN NaN 256.0 - module.nn0.4.weight NaN NaN 65536.0 - module.nn0.4.bias NaN NaN 256.0 - module.conv_id.0.mha.in_proj_weight NaN NaN 196608.0 - module.conv_id.0.mha.in_proj_bias NaN NaN 768.0 - module.conv_id.0.mha.out_proj.weight NaN NaN 65536.0 - module.conv_id.0.mha.out_proj.bias NaN NaN 256.0 - module.conv_id.0.norm0.weight NaN NaN 256.0 - module.conv_id.0.norm0.bias NaN NaN 256.0 - module.conv_id.0.norm1.weight NaN NaN 256.0 - module.conv_id.0.norm1.bias NaN NaN 256.0 - module.conv_id.0.seq.0.weight NaN NaN 65536.0 - module.conv_id.0.seq.0.bias NaN NaN 256.0 - module.conv_id.0.seq.2.weight NaN NaN 65536.0 - module.conv_id.0.seq.2.bias NaN NaN 256.0 - module.conv_id.1.mha.in_proj_weight NaN NaN 196608.0 - module.conv_id.1.mha.in_proj_bias NaN NaN 768.0 - module.conv_id.1.mha.out_proj.weight NaN NaN 65536.0 - module.conv_id.1.mha.out_proj.bias NaN NaN 256.0 - module.conv_id.1.norm0.weight NaN NaN 256.0 - module.conv_id.1.norm0.bias NaN NaN 256.0 - module.conv_id.1.norm1.weight NaN NaN 256.0 - module.conv_id.1.norm1.bias NaN NaN 256.0 - module.conv_id.1.seq.0.weight NaN NaN 65536.0 - module.conv_id.1.seq.0.bias NaN NaN 256.0 - module.conv_id.1.seq.2.weight NaN NaN 65536.0 - module.conv_id.1.seq.2.bias NaN NaN 256.0 - module.conv_id.2.mha.in_proj_weight NaN NaN 196608.0 - module.conv_id.2.mha.in_proj_bias NaN NaN 768.0 - module.conv_id.2.mha.out_proj.weight NaN NaN 65536.0 - module.conv_id.2.mha.out_proj.bias NaN NaN 256.0 - module.conv_id.2.norm0.weight NaN NaN 256.0 - module.conv_id.2.norm0.bias NaN NaN 256.0 - module.conv_id.2.norm1.weight NaN NaN 256.0 - module.conv_id.2.norm1.bias NaN NaN 256.0 - module.conv_id.2.seq.0.weight NaN NaN 65536.0 - module.conv_id.2.seq.0.bias NaN NaN 256.0 - module.conv_id.2.seq.2.weight NaN NaN 65536.0 - module.conv_id.2.seq.2.bias NaN NaN 256.0 - module.conv_reg.0.mha.in_proj_weight NaN NaN 196608.0 - module.conv_reg.0.mha.in_proj_bias NaN NaN 768.0 - module.conv_reg.0.mha.out_proj.weight NaN NaN 65536.0 - module.conv_reg.0.mha.out_proj.bias NaN NaN 256.0 - module.conv_reg.0.norm0.weight NaN NaN 256.0 - module.conv_reg.0.norm0.bias NaN NaN 256.0 - module.conv_reg.0.norm1.weight NaN NaN 256.0 - module.conv_reg.0.norm1.bias NaN NaN 256.0 - module.conv_reg.0.seq.0.weight NaN NaN 65536.0 - module.conv_reg.0.seq.0.bias NaN NaN 256.0 - module.conv_reg.0.seq.2.weight NaN NaN 65536.0 - module.conv_reg.0.seq.2.bias NaN NaN 256.0 - module.conv_reg.1.mha.in_proj_weight NaN NaN 196608.0 - module.conv_reg.1.mha.in_proj_bias NaN NaN 768.0 - module.conv_reg.1.mha.out_proj.weight NaN NaN 65536.0 - module.conv_reg.1.mha.out_proj.bias NaN NaN 256.0 - module.conv_reg.1.norm0.weight NaN NaN 256.0 - module.conv_reg.1.norm0.bias NaN NaN 256.0 - module.conv_reg.1.norm1.weight NaN NaN 256.0 - module.conv_reg.1.norm1.bias NaN NaN 256.0 - module.conv_reg.1.seq.0.weight NaN NaN 65536.0 - module.conv_reg.1.seq.0.bias NaN NaN 256.0 - module.conv_reg.1.seq.2.weight NaN NaN 65536.0 - module.conv_reg.1.seq.2.bias NaN NaN 256.0 - module.conv_reg.2.mha.in_proj_weight NaN NaN 196608.0 - module.conv_reg.2.mha.in_proj_bias NaN NaN 768.0 - module.conv_reg.2.mha.out_proj.weight NaN NaN 65536.0 - module.conv_reg.2.mha.out_proj.bias NaN NaN 256.0 - module.conv_reg.2.norm0.weight NaN NaN 256.0 - module.conv_reg.2.norm0.bias NaN NaN 256.0 - module.conv_reg.2.norm1.weight NaN NaN 256.0 - module.conv_reg.2.norm1.bias NaN NaN 256.0 - module.conv_reg.2.seq.0.weight NaN NaN 65536.0 - module.conv_reg.2.seq.0.bias NaN NaN 256.0 - module.conv_reg.2.seq.2.weight NaN NaN 65536.0 - module.conv_reg.2.seq.2.bias NaN NaN 256.0 - module.nn_id.0.weight NaN NaN 207360.0 - module.nn_id.0.bias NaN NaN 256.0 - module.nn_id.2.weight NaN NaN 256.0 - module.nn_id.2.bias NaN NaN 256.0 - module.nn_id.4.weight NaN NaN 2304.0 - module.nn_id.4.bias NaN NaN 9.0 - module.nn_pt.nn.0.weight NaN NaN 209664.0 - module.nn_pt.nn.0.bias NaN NaN 256.0 - module.nn_pt.nn.2.weight NaN NaN 256.0 - module.nn_pt.nn.2.bias NaN NaN 256.0 - module.nn_pt.nn.4.weight NaN NaN 512.0 - module.nn_pt.nn.4.bias NaN NaN 2.0 - module.nn_eta.nn.0.weight NaN NaN 209664.0 - module.nn_eta.nn.0.bias NaN NaN 256.0 - module.nn_eta.nn.2.weight NaN NaN 256.0 - module.nn_eta.nn.2.bias NaN NaN 256.0 - module.nn_eta.nn.4.weight NaN NaN 512.0 - module.nn_eta.nn.4.bias NaN NaN 2.0 - module.nn_sin_phi.nn.0.weight NaN NaN 209664.0 - module.nn_sin_phi.nn.0.bias NaN NaN 256.0 - module.nn_sin_phi.nn.2.weight NaN NaN 256.0 - module.nn_sin_phi.nn.2.bias NaN NaN 256.0 - module.nn_sin_phi.nn.4.weight NaN NaN 512.0 - module.nn_sin_phi.nn.4.bias NaN NaN 2.0 - module.nn_cos_phi.nn.0.weight NaN NaN 209664.0 - module.nn_cos_phi.nn.0.bias NaN NaN 256.0 - module.nn_cos_phi.nn.2.weight NaN NaN 256.0 - module.nn_cos_phi.nn.2.bias NaN NaN 256.0 - module.nn_cos_phi.nn.4.weight NaN NaN 512.0 - module.nn_cos_phi.nn.4.bias NaN NaN 2.0 - module.nn_energy.nn.0.weight NaN NaN 209664.0 - module.nn_energy.nn.0.bias NaN NaN 256.0 - module.nn_energy.nn.2.weight NaN NaN 256.0 - module.nn_energy.nn.2.bias NaN NaN 256.0 - module.nn_energy.nn.4.weight NaN NaN 512.0 - module.nn_energy.nn.4.bias NaN NaN 2.0 - module.nn_charge.0.weight NaN NaN 209664.0 - module.nn_charge.0.bias NaN NaN 256.0 - module.nn_charge.2.weight NaN NaN 256.0 - module.nn_charge.2.bias NaN NaN 256.0 - module.nn_charge.4.weight NaN NaN 768.0 - module.nn_charge.4.bias NaN NaN 3.0 - [2024-03-06 18:13:49,161] INFO: Creating experiment dir /pfvol/experiments/MLPF_cms_Transformer_MET_False_pyg-cms-ttbar_20240306_181336_406716 [2024-03-06 18:13:49,161] INFO: Model directory /pfvol/experiments/MLPF_cms_Transformer_MET_False_pyg-cms-ttbar_20240306_181336_406716 [2024-03-06 18:13:49,637] INFO: train_dataset: cms_pf_ttbar, 80000 [2024-03-06 18:13:49,701] INFO: valid_dataset: cms_pf_ttbar, 20000 [2024-03-06 18:13:49,794] INFO: Initiating epoch #1 train run on device rank=0 [2024-03-06 22:09:01,722] INFO: Initiating epoch #1 valid run on device rank=0 [2024-03-06 22:26:46,485] INFO: Rank 0: epoch=1 / 30 train_loss=58.3051 valid_loss=55.5339 stale=0 time=252.94m eta=7335.4m [2024-03-06 22:26:46,594] INFO: Initiating epoch #2 train run on device rank=0 [2024-03-07 02:21:41,608] INFO: Initiating epoch #2 valid run on device rank=0 [2024-03-07 02:34:54,809] INFO: Rank 0: epoch=2 / 30 train_loss=54.8587 valid_loss=55.3588 stale=0 time=248.14m eta=7015.2m [2024-03-07 02:34:55,582] INFO: Initiating epoch #3 train run on device rank=0 [2024-03-07 06:29:47,558] INFO: Initiating epoch #3 valid run on device rank=0 [2024-03-07 06:42:57,618] INFO: Rank 0: epoch=3 / 30 train_loss=54.5275 valid_loss=55.2189 stale=0 time=248.03m eta=6742.2m [2024-03-07 06:42:58,240] INFO: Initiating epoch #4 train run on device rank=0 [2024-03-07 10:38:01,708] INFO: Initiating epoch #4 valid run on device rank=0 [2024-03-07 10:50:28,030] INFO: Rank 0: epoch=4 / 30 train_loss=54.3439 valid_loss=55.1452 stale=0 time=247.5m eta=6478.1m [2024-03-07 10:50:29,187] INFO: Initiating epoch #5 train run on device rank=0