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oadtr_b1_recycling_learned_127_seed3_anet.txt
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Unable to compile CoConv C++ implementation. Falling back to Python version.
[Errno 2] No such file or directory: '/home/lh/.conda/envs/oadtr/lib/python3.8/site-packages/continual/conv.cpp'
Failed to add flops_counter_hook: module 'ptflops.flops_counter' has no attribute 'conv_flops_counter_hook'
Failed to add flops_counter_hook: module 'ptflops.flops_counter' has no attribute 'MODULES_MAPPING'
Not using distributed mode
lr:0.0001
batch_size:128
weight_decay:0.0001
epochs:5
resize_feature:False
lr_drop:1
clip_max_norm:1.0
dataparallel:False
removelog:False
version:v3
query_num:8
decoder_layers:5
decoder_embedding_dim:1024
decoder_embedding_dim_out:1024
decoder_attn_dropout_rate:0.1
decoder_num_heads:4
classification_pred_loss_coef:0.5
enc_layers:64
lr_backbone:0.0001
feature:anet
dim_feature:3072
patch_dim:1
embedding_dim:1024
num_heads:8
num_layers:1
attn_dropout_rate:0.1
positional_encoding_type:recycling_learned
num_embeddings:127
hidden_dim:1024
dropout_rate:0.1
numclass:22
classification_x_loss_coef:0.3
classification_h_loss_coef:1
similar_loss_coef:0.1
margin:1.0
dataset:thumos
dataset_file:data/data_info_new.json
frozen_weights:None
thumos_data_path:/home/dancer/mycode/Temporal.Online.Detection/Online.TRN.Pytorch/preprocess/
thumos_anno_path:data/thumos_{}_anno.pickle
remove_difficult:False
device:cuda
output_dir:models
seed:3
resume:
start_epoch:1
eval:False
num_workers:8
world_size:1
dist_url:tcp://127.0.0.1:12342
train_session_set:['video_validation_0000690', 'video_validation_0000288', 'video_validation_0000289', 'video_validation_0000416', 'video_validation_0000282', 'video_validation_0000283', 'video_validation_0000281', 'video_validation_0000286', 'video_validation_0000287', 'video_validation_0000284', 'video_validation_0000285', 'video_validation_0000202', 'video_validation_0000203', 'video_validation_0000201', 'video_validation_0000206', 'video_validation_0000207', 'video_validation_0000204', 'video_validation_0000205', 'video_validation_0000790', 'video_validation_0000208', 'video_validation_0000209', 'video_validation_0000420', 'video_validation_0000364', 'video_validation_0000853', 'video_validation_0000950', 'video_validation_0000937', 'video_validation_0000367', 'video_validation_0000290', 'video_validation_0000210', 'video_validation_0000059', 'video_validation_0000058', 'video_validation_0000057', 'video_validation_0000056', 'video_validation_0000055', 'video_validation_0000054', 'video_validation_0000053', 'video_validation_0000052', 'video_validation_0000051', 'video_validation_0000933', 'video_validation_0000949', 'video_validation_0000948', 'video_validation_0000945', 'video_validation_0000944', 'video_validation_0000947', 'video_validation_0000946', 'video_validation_0000941', 'video_validation_0000940', 'video_validation_0000190', 'video_validation_0000942', 'video_validation_0000261', 'video_validation_0000262', 'video_validation_0000263', 'video_validation_0000264', 'video_validation_0000265', 'video_validation_0000266', 'video_validation_0000267', 'video_validation_0000268', 'video_validation_0000269', 'video_validation_0000989', 'video_validation_0000060', 'video_validation_0000370', 'video_validation_0000938', 'video_validation_0000935', 'video_validation_0000668', 'video_validation_0000669', 'video_validation_0000664', 'video_validation_0000665', 'video_validation_0000932', 'video_validation_0000667', 'video_validation_0000934', 'video_validation_0000661', 'video_validation_0000662', 'video_validation_0000663', 'video_validation_0000181', 'video_validation_0000180', 'video_validation_0000183', 'video_validation_0000182', 'video_validation_0000185', 'video_validation_0000184', 'video_validation_0000187', 'video_validation_0000186', 'video_validation_0000189', 'video_validation_0000188', 'video_validation_0000936', 'video_validation_0000270', 'video_validation_0000854', 'video_validation_0000178', 'video_validation_0000179', 'video_validation_0000174', 'video_validation_0000175', 'video_validation_0000176', 'video_validation_0000177', 'video_validation_0000170', 'video_validation_0000171', 'video_validation_0000172', 'video_validation_0000173', 'video_validation_0000670', 'video_validation_0000419', 'video_validation_0000943', 'video_validation_0000485', 'video_validation_0000369', 'video_validation_0000368', 'video_validation_0000318', 'video_validation_0000319', 'video_validation_0000415', 'video_validation_0000414', 'video_validation_0000413', 'video_validation_0000412', 'video_validation_0000411', 'video_validation_0000311', 'video_validation_0000312', 'video_validation_0000313', 'video_validation_0000314', 'video_validation_0000315', 'video_validation_0000316', 'video_validation_0000317', 'video_validation_0000418', 'video_validation_0000365', 'video_validation_0000482', 'video_validation_0000169', 'video_validation_0000168', 'video_validation_0000167', 'video_validation_0000166', 'video_validation_0000165', 'video_validation_0000164', 'video_validation_0000163', 'video_validation_0000162', 'video_validation_0000161', 'video_validation_0000160', 'video_validation_0000857', 'video_validation_0000856', 'video_validation_0000855', 'video_validation_0000366', 'video_validation_0000488', 'video_validation_0000489', 'video_validation_0000851', 'video_validation_0000484', 'video_validation_0000361', 'video_validation_0000486', 'video_validation_0000487', 'video_validation_0000481', 'video_validation_0000910', 'video_validation_0000483', 'video_validation_0000363', 'video_validation_0000990', 'video_validation_0000939', 'video_validation_0000362', 'video_validation_0000987', 'video_validation_0000859', 'video_validation_0000787', 'video_validation_0000786', 'video_validation_0000785', 'video_validation_0000784', 'video_validation_0000783', 'video_validation_0000782', 'video_validation_0000781', 'video_validation_0000981', 'video_validation_0000983', 'video_validation_0000982', 'video_validation_0000985', 'video_validation_0000984', 'video_validation_0000417', 'video_validation_0000788', 'video_validation_0000152', 'video_validation_0000153', 'video_validation_0000151', 'video_validation_0000156', 'video_validation_0000157', 'video_validation_0000154', 'video_validation_0000155', 'video_validation_0000158', 'video_validation_0000159', 'video_validation_0000901', 'video_validation_0000903', 'video_validation_0000902', 'video_validation_0000905', 'video_validation_0000904', 'video_validation_0000907', 'video_validation_0000906', 'video_validation_0000909', 'video_validation_0000908', 'video_validation_0000490', 'video_validation_0000860', 'video_validation_0000858', 'video_validation_0000988', 'video_validation_0000320', 'video_validation_0000688', 'video_validation_0000689', 'video_validation_0000686', 'video_validation_0000687', 'video_validation_0000684', 'video_validation_0000685', 'video_validation_0000682', 'video_validation_0000683', 'video_validation_0000681', 'video_validation_0000789', 'video_validation_0000986', 'video_validation_0000931', 'video_validation_0000852', 'video_validation_0000666']
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test_session_set:['video_test_0000292', 'video_test_0001078', 'video_test_0000896', 'video_test_0000897', 'video_test_0000950', 'video_test_0001159', 'video_test_0001079', 'video_test_0000807', 'video_test_0000179', 'video_test_0000173', 'video_test_0001072', 'video_test_0001075', 'video_test_0000767', 'video_test_0001076', 'video_test_0000007', 'video_test_0000006', 'video_test_0000556', 'video_test_0001307', 'video_test_0001153', 'video_test_0000718', 'video_test_0000716', 'video_test_0001309', 'video_test_0000714', 'video_test_0000558', 'video_test_0001267', 'video_test_0000367', 'video_test_0001324', 'video_test_0000085', 'video_test_0000887', 'video_test_0001281', 'video_test_0000882', 'video_test_0000671', 'video_test_0000964', 'video_test_0001164', 'video_test_0001114', 'video_test_0000771', 'video_test_0001163', 'video_test_0001118', 'video_test_0001201', 'video_test_0001040', 'video_test_0001207', 'video_test_0000723', 'video_test_0000569', 'video_test_0000672', 'video_test_0000673', 'video_test_0000278', 'video_test_0001162', 'video_test_0000405', 'video_test_0000073', 'video_test_0000560', 'video_test_0001276', 'video_test_0000270', 'video_test_0000273', 'video_test_0000374', 'video_test_0000372', 'video_test_0001168', 'video_test_0000379', 'video_test_0001446', 'video_test_0001447', 'video_test_0001098', 'video_test_0000873', 'video_test_0000039', 'video_test_0000442', 'video_test_0001219', 'video_test_0000762', 'video_test_0000611', 'video_test_0000617', 'video_test_0000615', 'video_test_0001270', 'video_test_0000740', 'video_test_0000293', 'video_test_0000504', 'video_test_0000505', 'video_test_0000665', 'video_test_0000664', 'video_test_0000577', 'video_test_0000814', 'video_test_0001369', 'video_test_0001194', 'video_test_0001195', 'video_test_0001512', 'video_test_0001235', 'video_test_0001459', 'video_test_0000691', 'video_test_0000765', 'video_test_0001452', 'video_test_0000188', 'video_test_0000591', 'video_test_0001268', 'video_test_0000593', 'video_test_0000864', 'video_test_0000601', 'video_test_0001135', 'video_test_0000004', 'video_test_0000903', 'video_test_0000285', 'video_test_0001174', 'video_test_0000046', 'video_test_0000045', 'video_test_0001223', 'video_test_0001358', 'video_test_0001134', 'video_test_0000698', 'video_test_0000461', 'video_test_0001182', 'video_test_0000450', 'video_test_0000602', 'video_test_0001229', 'video_test_0000989', 'video_test_0000357', 'video_test_0001039', 'video_test_0000355', 'video_test_0000353', 'video_test_0001508', 'video_test_0000981', 'video_test_0000242', 'video_test_0000854', 'video_test_0001484', 'video_test_0000635', 'video_test_0001129', 'video_test_0001339', 'video_test_0001483', 'video_test_0001123', 'video_test_0001127', 'video_test_0000689', 'video_test_0000756', 'video_test_0001431', 'video_test_0000129', 'video_test_0001433', 'video_test_0001343', 'video_test_0000324', 'video_test_0001064', 'video_test_0001531', 'video_test_0001532', 'video_test_0000413', 'video_test_0000991', 'video_test_0001255', 'video_test_0000464', 'video_test_0001202', 'video_test_0001080', 'video_test_0001081', 'video_test_0000847', 'video_test_0000028', 'video_test_0000844', 'video_test_0000622', 'video_test_0000026', 'video_test_0001325', 'video_test_0001496', 'video_test_0001495', 'video_test_0000624', 'video_test_0000724', 'video_test_0001409', 'video_test_0000131', 'video_test_0000448', 'video_test_0000444', 'video_test_0000443', 'video_test_0001038', 'video_test_0000238', 'video_test_0001527', 'video_test_0001522', 'video_test_0000051', 'video_test_0001058', 'video_test_0001391', 'video_test_0000429', 'video_test_0000426', 'video_test_0000785', 'video_test_0000786', 'video_test_0001314', 'video_test_0000392', 'video_test_0000423', 'video_test_0001146', 'video_test_0001313', 'video_test_0001008', 'video_test_0001247', 'video_test_0000737', 'video_test_0001319', 'video_test_0000308', 'video_test_0000730', 'video_test_0000058', 'video_test_0000538', 'video_test_0001556', 'video_test_0000113', 'video_test_0000626', 'video_test_0000839', 'video_test_0000220', 'video_test_0001389', 'video_test_0000437', 'video_test_0000940', 'video_test_0000211', 'video_test_0000946', 'video_test_0001558', 'video_test_0000796', 'video_test_0000062', 'video_test_0000793', 'video_test_0000987', 'video_test_0001066', 'video_test_0000412', 'video_test_0000798', 'video_test_0001549', 'video_test_0000011', 'video_test_0001257', 'video_test_0000541', 'video_test_0000701', 'video_test_0000250', 'video_test_0000254', 'video_test_0000549', 'video_test_0001209', 'video_test_0001463', 'video_test_0001460', 'video_test_0000319', 'video_test_0001468', 'video_test_0000846', 'video_test_0001292']
class_index:['Background', 'BaseballPitch', 'BasketballDunk', 'Billiards', 'CleanAndJerk', 'CliffDiving', 'CricketBowling', 'CricketShot', 'Diving', 'FrisbeeCatch', 'GolfSwing', 'HammerThrow', 'HighJump', 'JavelinThrow', 'LongJump', 'PoleVault', 'Shotput', 'SoccerPenalty', 'TennisSwing', 'ThrowDiscus', 'VolleyballSpiking', 'Ambiguous']
distributed:False
position encoding : recycling_learned
Sequential(
9.463 M, 98.581% Params, 0.01 GMac, 100.000% MACs,
(0): Linear(3.147 M, 32.782% Params, 0.003 GMac, 32.782% MACs, in_features=3072, out_features=1024, bias=True, channel_dim=1)
(1): RecyclingPositionalEncoding(
0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs,
(pe): Embedding(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 127, 1024)
)
(2): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
(3): Sequential(
6.294 M, 65.564% Params, 0.006 GMac, 66.983% MACs,
(0): BroadcastReduce(
4.194 M, 43.695% Params, 0.004 GMac, 45.093% MACs, reduce=sum_last_pairs
(0): SelectOrDelay(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 0)
(1): CoSiMultiheadAttention(
4.194 M, 43.695% Params, 0.004 GMac, 45.093% MACs,
(out_proj): NonDynamicallyQuantizableLinear(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=False)
)
)
(1): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
(2): BroadcastReduce(
2.099 M, 21.869% Params, 0.002 GMac, 21.890% MACs, reduce=reduce_sum
(0): Delay(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 0)
(1): Sequential(
2.099 M, 21.869% Params, 0.002 GMac, 21.890% MACs,
(0): Linear(1.05 M, 10.934% Params, 0.001 GMac, 10.934% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(1): GELU(0.0 M, 0.000% Params, 0.0 GMac, 0.021% MACs, )
(2): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
(3): Linear(1.05 M, 10.934% Params, 0.001 GMac, 10.934% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(4): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
)
)
(3): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
)
(4): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
(5): Linear(0.023 M, 0.235% Params, 0.0 GMac, 0.235% MACs, in_features=1024, out_features=22, bias=True, channel_dim=1)
)
Model FLOPs: 9598998.0
Model params: 9598998
Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument index in method wrapper__index_select)
Loaded data/thumos_anet_val.pickle
Loaded data/thumos_anet_test.pickle
Start training
Epoch: [1] [ 0/1406] eta: 0:52:39 lr: 0.000100 loss: 2.9154 (2.9154) labels_encoder: 2.9154 (2.9154) labels_encoder_unscaled: 2.9154 (2.9154) time: 2.2471 data: 2.1367 max mem: 416
Epoch: [1] [ 50/1406] eta: 0:01:51 lr: 0.000100 loss: 0.7596 (1.1000) labels_encoder: 0.7596 (1.1000) labels_encoder_unscaled: 0.7596 (1.1000) time: 0.0383 data: 0.0002 max mem: 515
Epoch: [1] [ 100/1406] eta: 0:01:20 lr: 0.000100 loss: 0.5247 (0.8520) labels_encoder: 0.5247 (0.8520) labels_encoder_unscaled: 0.5247 (0.8520) time: 0.0357 data: 0.0002 max mem: 515
Epoch: [1] [ 150/1406] eta: 0:01:06 lr: 0.000100 loss: 0.5426 (0.7557) labels_encoder: 0.5426 (0.7557) labels_encoder_unscaled: 0.5426 (0.7557) time: 0.0359 data: 0.0001 max mem: 515
Epoch: [1] [ 200/1406] eta: 0:00:59 lr: 0.000100 loss: 0.4677 (0.6950) labels_encoder: 0.4677 (0.6950) labels_encoder_unscaled: 0.4677 (0.6950) time: 0.0376 data: 0.0002 max mem: 515
Epoch: [1] [ 250/1406] eta: 0:00:54 lr: 0.000100 loss: 0.4645 (0.6508) labels_encoder: 0.4645 (0.6508) labels_encoder_unscaled: 0.4645 (0.6508) time: 0.0375 data: 0.0002 max mem: 515
Epoch: [1] [ 300/1406] eta: 0:00:50 lr: 0.000100 loss: 0.4449 (0.6157) labels_encoder: 0.4449 (0.6157) labels_encoder_unscaled: 0.4449 (0.6157) time: 0.0386 data: 0.0002 max mem: 515
Epoch: [1] [ 350/1406] eta: 0:00:46 lr: 0.000100 loss: 0.4097 (0.5863) labels_encoder: 0.4097 (0.5863) labels_encoder_unscaled: 0.4097 (0.5863) time: 0.0393 data: 0.0002 max mem: 515
Epoch: [1] [ 400/1406] eta: 0:00:43 lr: 0.000100 loss: 0.3759 (0.5620) labels_encoder: 0.3759 (0.5620) labels_encoder_unscaled: 0.3759 (0.5620) time: 0.0373 data: 0.0002 max mem: 515
Epoch: [1] [ 450/1406] eta: 0:00:40 lr: 0.000100 loss: 0.4077 (0.5426) labels_encoder: 0.4077 (0.5426) labels_encoder_unscaled: 0.4077 (0.5426) time: 0.0381 data: 0.0002 max mem: 515
Epoch: [1] [ 500/1406] eta: 0:00:38 lr: 0.000100 loss: 0.3752 (0.5251) labels_encoder: 0.3752 (0.5251) labels_encoder_unscaled: 0.3752 (0.5251) time: 0.0410 data: 0.0002 max mem: 515
Epoch: [1] [ 550/1406] eta: 0:00:35 lr: 0.000100 loss: 0.3784 (0.5112) labels_encoder: 0.3784 (0.5112) labels_encoder_unscaled: 0.3784 (0.5112) time: 0.0380 data: 0.0003 max mem: 515
Epoch: [1] [ 600/1406] eta: 0:00:33 lr: 0.000100 loss: 0.3410 (0.4994) labels_encoder: 0.3410 (0.4994) labels_encoder_unscaled: 0.3410 (0.4994) time: 0.0388 data: 0.0002 max mem: 515
Epoch: [1] [ 650/1406] eta: 0:00:31 lr: 0.000100 loss: 0.2959 (0.4863) labels_encoder: 0.2959 (0.4863) labels_encoder_unscaled: 0.2959 (0.4863) time: 0.0370 data: 0.0002 max mem: 515
Epoch: [1] [ 700/1406] eta: 0:00:28 lr: 0.000100 loss: 0.3522 (0.4770) labels_encoder: 0.3522 (0.4770) labels_encoder_unscaled: 0.3522 (0.4770) time: 0.0345 data: 0.0001 max mem: 515
Epoch: [1] [ 750/1406] eta: 0:00:26 lr: 0.000100 loss: 0.3304 (0.4664) labels_encoder: 0.3304 (0.4664) labels_encoder_unscaled: 0.3304 (0.4664) time: 0.0367 data: 0.0002 max mem: 515
Epoch: [1] [ 800/1406] eta: 0:00:24 lr: 0.000100 loss: 0.3037 (0.4577) labels_encoder: 0.3037 (0.4577) labels_encoder_unscaled: 0.3037 (0.4577) time: 0.0375 data: 0.0001 max mem: 515
Epoch: [1] [ 850/1406] eta: 0:00:22 lr: 0.000100 loss: 0.3495 (0.4518) labels_encoder: 0.3495 (0.4518) labels_encoder_unscaled: 0.3495 (0.4518) time: 0.0362 data: 0.0001 max mem: 515
Epoch: [1] [ 900/1406] eta: 0:00:20 lr: 0.000100 loss: 0.3122 (0.4440) labels_encoder: 0.3122 (0.4440) labels_encoder_unscaled: 0.3122 (0.4440) time: 0.0362 data: 0.0002 max mem: 515
Epoch: [1] [ 950/1406] eta: 0:00:18 lr: 0.000100 loss: 0.3318 (0.4374) labels_encoder: 0.3318 (0.4374) labels_encoder_unscaled: 0.3318 (0.4374) time: 0.0352 data: 0.0001 max mem: 515
Epoch: [1] [1000/1406] eta: 0:00:16 lr: 0.000100 loss: 0.3026 (0.4312) labels_encoder: 0.3026 (0.4312) labels_encoder_unscaled: 0.3026 (0.4312) time: 0.0367 data: 0.0001 max mem: 515
Epoch: [1] [1050/1406] eta: 0:00:14 lr: 0.000100 loss: 0.2865 (0.4246) labels_encoder: 0.2865 (0.4246) labels_encoder_unscaled: 0.2865 (0.4246) time: 0.0364 data: 0.0001 max mem: 515
Epoch: [1] [1100/1406] eta: 0:00:12 lr: 0.000100 loss: 0.3033 (0.4188) labels_encoder: 0.3033 (0.4188) labels_encoder_unscaled: 0.3033 (0.4188) time: 0.0375 data: 0.0002 max mem: 515
Epoch: [1] [1150/1406] eta: 0:00:10 lr: 0.000100 loss: 0.2440 (0.4131) labels_encoder: 0.2440 (0.4131) labels_encoder_unscaled: 0.2440 (0.4131) time: 0.0376 data: 0.0002 max mem: 515
Epoch: [1] [1200/1406] eta: 0:00:08 lr: 0.000100 loss: 0.2793 (0.4079) labels_encoder: 0.2793 (0.4079) labels_encoder_unscaled: 0.2793 (0.4079) time: 0.0379 data: 0.0002 max mem: 515
Epoch: [1] [1250/1406] eta: 0:00:06 lr: 0.000100 loss: 0.2279 (0.4027) labels_encoder: 0.2279 (0.4027) labels_encoder_unscaled: 0.2279 (0.4027) time: 0.0381 data: 0.0002 max mem: 515
Epoch: [1] [1300/1406] eta: 0:00:04 lr: 0.000100 loss: 0.2584 (0.3983) labels_encoder: 0.2584 (0.3983) labels_encoder_unscaled: 0.2584 (0.3983) time: 0.0383 data: 0.0002 max mem: 515
Epoch: [1] [1350/1406] eta: 0:00:02 lr: 0.000100 loss: 0.2621 (0.3934) labels_encoder: 0.2621 (0.3934) labels_encoder_unscaled: 0.2621 (0.3934) time: 0.0375 data: 0.0002 max mem: 515
Epoch: [1] [1400/1406] eta: 0:00:00 lr: 0.000100 loss: 0.2386 (0.3887) labels_encoder: 0.2386 (0.3887) labels_encoder_unscaled: 0.2386 (0.3887) time: 0.0388 data: 0.0003 max mem: 515
Epoch: [1] [1405/1406] eta: 0:00:00 lr: 0.000100 loss: 0.2272 (0.3882) labels_encoder: 0.2272 (0.3882) labels_encoder_unscaled: 0.2272 (0.3882) time: 0.0372 data: 0.0003 max mem: 515
Epoch: [1] Total time: 0:00:55 (0.0395 s / it)
Averaged stats: lr: 0.000100 loss: 0.2272 (0.3882) labels_encoder: 0.2272 (0.3882) labels_encoder_unscaled: 0.2272 (0.3882)
Test: [ 0/1613] eta: 0:36:27 loss: 0.0999 (0.0999) labels_encoder: 0.0999 (0.0999) labels_encoder_unscaled: 0.0999 (0.0999) time: 1.3560 data: 1.3381 max mem: 515
Test: [ 50/1613] eta: 0:01:42 loss: 0.3218 (0.6696) labels_encoder: 0.3218 (0.6696) labels_encoder_unscaled: 0.3218 (0.6696) time: 0.0352 data: 0.0199 max mem: 515
Test: [ 100/1613] eta: 0:01:17 loss: 0.1879 (0.5278) labels_encoder: 0.1879 (0.5278) labels_encoder_unscaled: 0.1879 (0.5278) time: 0.0379 data: 0.0223 max mem: 515
Test: [ 150/1613] eta: 0:01:09 loss: 0.3793 (0.4908) labels_encoder: 0.3793 (0.4908) labels_encoder_unscaled: 0.3793 (0.4908) time: 0.0375 data: 0.0237 max mem: 515
Test: [ 200/1613] eta: 0:01:03 loss: 0.6212 (0.5596) labels_encoder: 0.6212 (0.5596) labels_encoder_unscaled: 0.6212 (0.5596) time: 0.0357 data: 0.0218 max mem: 515
Test: [ 250/1613] eta: 0:00:58 loss: 0.3093 (0.5610) labels_encoder: 0.3093 (0.5610) labels_encoder_unscaled: 0.3093 (0.5610) time: 0.0363 data: 0.0231 max mem: 515
Test: [ 300/1613] eta: 0:00:55 loss: 0.3842 (0.5937) labels_encoder: 0.3842 (0.5937) labels_encoder_unscaled: 0.3842 (0.5937) time: 0.0362 data: 0.0214 max mem: 515
Test: [ 350/1613] eta: 0:00:52 loss: 0.6397 (0.5993) labels_encoder: 0.6397 (0.5993) labels_encoder_unscaled: 0.6397 (0.5993) time: 0.0370 data: 0.0216 max mem: 515
Test: [ 400/1613] eta: 0:00:49 loss: 0.4994 (0.6984) labels_encoder: 0.4994 (0.6984) labels_encoder_unscaled: 0.4994 (0.6984) time: 0.0372 data: 0.0211 max mem: 515
Test: [ 450/1613] eta: 0:00:47 loss: 0.5661 (0.7465) labels_encoder: 0.5661 (0.7465) labels_encoder_unscaled: 0.5661 (0.7465) time: 0.0387 data: 0.0237 max mem: 515
Test: [ 500/1613] eta: 0:00:44 loss: 0.2908 (0.7203) labels_encoder: 0.2908 (0.7203) labels_encoder_unscaled: 0.2908 (0.7203) time: 0.0381 data: 0.0225 max mem: 515
Test: [ 550/1613] eta: 0:00:42 loss: 0.4241 (0.7190) labels_encoder: 0.4241 (0.7190) labels_encoder_unscaled: 0.4241 (0.7190) time: 0.0364 data: 0.0204 max mem: 515
Test: [ 600/1613] eta: 0:00:40 loss: 0.5257 (0.7249) labels_encoder: 0.5257 (0.7249) labels_encoder_unscaled: 0.5257 (0.7249) time: 0.0381 data: 0.0241 max mem: 515
Test: [ 650/1613] eta: 0:00:38 loss: 0.5312 (0.7086) labels_encoder: 0.5312 (0.7086) labels_encoder_unscaled: 0.5312 (0.7086) time: 0.0362 data: 0.0232 max mem: 515
Test: [ 700/1613] eta: 0:00:36 loss: 0.3898 (0.7014) labels_encoder: 0.3898 (0.7014) labels_encoder_unscaled: 0.3898 (0.7014) time: 0.0363 data: 0.0183 max mem: 515
Test: [ 750/1613] eta: 0:00:34 loss: 0.3009 (0.6845) labels_encoder: 0.3009 (0.6845) labels_encoder_unscaled: 0.3009 (0.6845) time: 0.0350 data: 0.0197 max mem: 515
Test: [ 800/1613] eta: 0:00:31 loss: 0.5228 (0.6785) labels_encoder: 0.5228 (0.6785) labels_encoder_unscaled: 0.5228 (0.6785) time: 0.0363 data: 0.0226 max mem: 515
Test: [ 850/1613] eta: 0:00:29 loss: 0.9719 (0.6773) labels_encoder: 0.9719 (0.6773) labels_encoder_unscaled: 0.9719 (0.6773) time: 0.0371 data: 0.0229 max mem: 515
Test: [ 900/1613] eta: 0:00:27 loss: 0.4446 (0.6906) labels_encoder: 0.4446 (0.6906) labels_encoder_unscaled: 0.4446 (0.6906) time: 0.0383 data: 0.0236 max mem: 515
Test: [ 950/1613] eta: 0:00:25 loss: 0.2922 (0.6762) labels_encoder: 0.2922 (0.6762) labels_encoder_unscaled: 0.2922 (0.6762) time: 0.0396 data: 0.0246 max mem: 515
Test: [1000/1613] eta: 0:00:23 loss: 0.3887 (0.6730) labels_encoder: 0.3887 (0.6730) labels_encoder_unscaled: 0.3887 (0.6730) time: 0.0380 data: 0.0235 max mem: 515
Test: [1050/1613] eta: 0:00:21 loss: 0.5081 (0.6693) labels_encoder: 0.5081 (0.6693) labels_encoder_unscaled: 0.5081 (0.6693) time: 0.0393 data: 0.0247 max mem: 515
Test: [1100/1613] eta: 0:00:19 loss: 0.7609 (0.6801) labels_encoder: 0.7609 (0.6801) labels_encoder_unscaled: 0.7609 (0.6801) time: 0.0403 data: 0.0266 max mem: 515
Test: [1150/1613] eta: 0:00:17 loss: 0.4047 (0.6759) labels_encoder: 0.4047 (0.6759) labels_encoder_unscaled: 0.4047 (0.6759) time: 0.0371 data: 0.0230 max mem: 515
Test: [1200/1613] eta: 0:00:16 loss: 0.3531 (0.6776) labels_encoder: 0.3531 (0.6776) labels_encoder_unscaled: 0.3531 (0.6776) time: 0.0383 data: 0.0245 max mem: 515
Test: [1250/1613] eta: 0:00:14 loss: 0.3264 (0.6810) labels_encoder: 0.3264 (0.6810) labels_encoder_unscaled: 0.3264 (0.6810) time: 0.0401 data: 0.0254 max mem: 515
Test: [1300/1613] eta: 0:00:12 loss: 0.4054 (0.6826) labels_encoder: 0.4054 (0.6826) labels_encoder_unscaled: 0.4054 (0.6826) time: 0.0370 data: 0.0196 max mem: 515
Test: [1350/1613] eta: 0:00:10 loss: 0.4920 (0.6925) labels_encoder: 0.4920 (0.6925) labels_encoder_unscaled: 0.4920 (0.6925) time: 0.0368 data: 0.0218 max mem: 515
Test: [1400/1613] eta: 0:00:08 loss: 0.4447 (0.6916) labels_encoder: 0.4447 (0.6916) labels_encoder_unscaled: 0.4447 (0.6916) time: 0.0378 data: 0.0232 max mem: 515
Test: [1450/1613] eta: 0:00:06 loss: 0.2785 (0.6985) labels_encoder: 0.2785 (0.6985) labels_encoder_unscaled: 0.2785 (0.6985) time: 0.0374 data: 0.0217 max mem: 515
Test: [1500/1613] eta: 0:00:04 loss: 0.9495 (0.7215) labels_encoder: 0.9495 (0.7215) labels_encoder_unscaled: 0.9495 (0.7215) time: 0.0372 data: 0.0215 max mem: 515
Test: [1550/1613] eta: 0:00:02 loss: 0.5006 (0.7176) labels_encoder: 0.5006 (0.7176) labels_encoder_unscaled: 0.5006 (0.7176) time: 0.0369 data: 0.0217 max mem: 515
Test: [1600/1613] eta: 0:00:00 loss: 0.6390 (0.7129) labels_encoder: 0.6390 (0.7129) labels_encoder_unscaled: 0.6390 (0.7129) time: 0.0396 data: 0.0245 max mem: 515
Test: [1612/1613] eta: 0:00:00 loss: 0.4612 (0.7112) labels_encoder: 0.4612 (0.7112) labels_encoder_unscaled: 0.4612 (0.7112) time: 0.0360 data: 0.0211 max mem: 515
Test: Total time: 0:01:02 (0.0388 s / it)
Averaged stats: loss: 0.4612 (0.7112) labels_encoder: 0.4612 (0.7112) labels_encoder_unscaled: 0.4612 (0.7112)
(21, 206375)
(21, 206375)
[Epoch-1] [IDU-anet] mAP: 0.5587, mcAP: 0.9743
BaseballPitch: 0.4072
BasketballDunk: 0.7495
Billiards: 0.3504
CleanAndJerk: 0.7798
CliffDiving: 0.8169
CricketBowling: 0.3650
CricketShot: 0.1768
Diving: 0.6801
FrisbeeCatch: 0.3863
GolfSwing: 0.5076
HammerThrow: 0.8380
HighJump: 0.5128
JavelinThrow: 0.6597
LongJump: 0.7523
PoleVault: 0.8396
Shotput: 0.6855
SoccerPenalty: 0.3911
TennisSwing: 0.3862
ThrowDiscus: 0.6206
VolleyballSpiking: 0.2687
Epoch: [2] [ 0/1406] eta: 0:36:56 lr: 0.000010 loss: 0.2443 (0.2443) labels_encoder: 0.2443 (0.2443) labels_encoder_unscaled: 0.2443 (0.2443) time: 1.5766 data: 1.5375 max mem: 515
Epoch: [2] [ 50/1406] eta: 0:01:33 lr: 0.000010 loss: 0.2175 (0.2338) labels_encoder: 0.2175 (0.2338) labels_encoder_unscaled: 0.2175 (0.2338) time: 0.0386 data: 0.0002 max mem: 515
Epoch: [2] [ 100/1406] eta: 0:01:11 lr: 0.000010 loss: 0.2212 (0.2327) labels_encoder: 0.2212 (0.2327) labels_encoder_unscaled: 0.2212 (0.2327) time: 0.0428 data: 0.0048 max mem: 515
Epoch: [2] [ 150/1406] eta: 0:01:01 lr: 0.000010 loss: 0.2125 (0.2280) labels_encoder: 0.2125 (0.2280) labels_encoder_unscaled: 0.2125 (0.2280) time: 0.0380 data: 0.0002 max mem: 515
Epoch: [2] [ 200/1406] eta: 0:00:56 lr: 0.000010 loss: 0.2177 (0.2264) labels_encoder: 0.2177 (0.2264) labels_encoder_unscaled: 0.2177 (0.2264) time: 0.0397 data: 0.0002 max mem: 515
Epoch: [2] [ 250/1406] eta: 0:00:51 lr: 0.000010 loss: 0.2043 (0.2234) labels_encoder: 0.2043 (0.2234) labels_encoder_unscaled: 0.2043 (0.2234) time: 0.0374 data: 0.0041 max mem: 515
Epoch: [2] [ 300/1406] eta: 0:00:48 lr: 0.000010 loss: 0.1986 (0.2212) labels_encoder: 0.1986 (0.2212) labels_encoder_unscaled: 0.1986 (0.2212) time: 0.0393 data: 0.0002 max mem: 515
Epoch: [2] [ 350/1406] eta: 0:00:45 lr: 0.000010 loss: 0.2182 (0.2205) labels_encoder: 0.2182 (0.2205) labels_encoder_unscaled: 0.2182 (0.2205) time: 0.0394 data: 0.0002 max mem: 515
Epoch: [2] [ 400/1406] eta: 0:00:42 lr: 0.000010 loss: 0.2184 (0.2186) labels_encoder: 0.2184 (0.2186) labels_encoder_unscaled: 0.2184 (0.2186) time: 0.0377 data: 0.0002 max mem: 515
Epoch: [2] [ 450/1406] eta: 0:00:39 lr: 0.000010 loss: 0.1710 (0.2164) labels_encoder: 0.1710 (0.2164) labels_encoder_unscaled: 0.1710 (0.2164) time: 0.0383 data: 0.0012 max mem: 515
Epoch: [2] [ 500/1406] eta: 0:00:37 lr: 0.000010 loss: 0.2169 (0.2165) labels_encoder: 0.2169 (0.2165) labels_encoder_unscaled: 0.2169 (0.2165) time: 0.0387 data: 0.0002 max mem: 515
Epoch: [2] [ 550/1406] eta: 0:00:34 lr: 0.000010 loss: 0.2321 (0.2162) labels_encoder: 0.2321 (0.2162) labels_encoder_unscaled: 0.2321 (0.2162) time: 0.0374 data: 0.0002 max mem: 515
Epoch: [2] [ 600/1406] eta: 0:00:32 lr: 0.000010 loss: 0.2024 (0.2150) labels_encoder: 0.2024 (0.2150) labels_encoder_unscaled: 0.2024 (0.2150) time: 0.0447 data: 0.0116 max mem: 515
Epoch: [2] [ 650/1406] eta: 0:00:30 lr: 0.000010 loss: 0.1904 (0.2149) labels_encoder: 0.1904 (0.2149) labels_encoder_unscaled: 0.1904 (0.2149) time: 0.0361 data: 0.0002 max mem: 515
Epoch: [2] [ 700/1406] eta: 0:00:28 lr: 0.000010 loss: 0.1929 (0.2137) labels_encoder: 0.1929 (0.2137) labels_encoder_unscaled: 0.1929 (0.2137) time: 0.0368 data: 0.0002 max mem: 515
Epoch: [2] [ 750/1406] eta: 0:00:26 lr: 0.000010 loss: 0.2190 (0.2137) labels_encoder: 0.2190 (0.2137) labels_encoder_unscaled: 0.2190 (0.2137) time: 0.0370 data: 0.0002 max mem: 515
Epoch: [2] [ 800/1406] eta: 0:00:24 lr: 0.000010 loss: 0.1884 (0.2128) labels_encoder: 0.1884 (0.2128) labels_encoder_unscaled: 0.1884 (0.2128) time: 0.0387 data: 0.0037 max mem: 515
Epoch: [2] [ 850/1406] eta: 0:00:22 lr: 0.000010 loss: 0.1957 (0.2124) labels_encoder: 0.1957 (0.2124) labels_encoder_unscaled: 0.1957 (0.2124) time: 0.0382 data: 0.0002 max mem: 515
Epoch: [2] [ 900/1406] eta: 0:00:20 lr: 0.000010 loss: 0.1821 (0.2118) labels_encoder: 0.1821 (0.2118) labels_encoder_unscaled: 0.1821 (0.2118) time: 0.0407 data: 0.0002 max mem: 515
Epoch: [2] [ 950/1406] eta: 0:00:18 lr: 0.000010 loss: 0.1996 (0.2112) labels_encoder: 0.1996 (0.2112) labels_encoder_unscaled: 0.1996 (0.2112) time: 0.0366 data: 0.0002 max mem: 515
Epoch: [2] [1000/1406] eta: 0:00:16 lr: 0.000010 loss: 0.1997 (0.2113) labels_encoder: 0.1997 (0.2113) labels_encoder_unscaled: 0.1997 (0.2113) time: 0.0379 data: 0.0002 max mem: 515
Epoch: [2] [1050/1406] eta: 0:00:14 lr: 0.000010 loss: 0.1929 (0.2108) labels_encoder: 0.1929 (0.2108) labels_encoder_unscaled: 0.1929 (0.2108) time: 0.0382 data: 0.0002 max mem: 515
Epoch: [2] [1100/1406] eta: 0:00:12 lr: 0.000010 loss: 0.1869 (0.2104) labels_encoder: 0.1869 (0.2104) labels_encoder_unscaled: 0.1869 (0.2104) time: 0.0368 data: 0.0002 max mem: 515
Epoch: [2] [1150/1406] eta: 0:00:10 lr: 0.000010 loss: 0.2043 (0.2098) labels_encoder: 0.2043 (0.2098) labels_encoder_unscaled: 0.2043 (0.2098) time: 0.0377 data: 0.0010 max mem: 515
Epoch: [2] [1200/1406] eta: 0:00:08 lr: 0.000010 loss: 0.1949 (0.2095) labels_encoder: 0.1949 (0.2095) labels_encoder_unscaled: 0.1949 (0.2095) time: 0.0392 data: 0.0002 max mem: 515
Epoch: [2] [1250/1406] eta: 0:00:06 lr: 0.000010 loss: 0.2003 (0.2094) labels_encoder: 0.2003 (0.2094) labels_encoder_unscaled: 0.2003 (0.2094) time: 0.0383 data: 0.0020 max mem: 515
Epoch: [2] [1300/1406] eta: 0:00:04 lr: 0.000010 loss: 0.1754 (0.2082) labels_encoder: 0.1754 (0.2082) labels_encoder_unscaled: 0.1754 (0.2082) time: 0.0378 data: 0.0066 max mem: 515
Epoch: [2] [1350/1406] eta: 0:00:02 lr: 0.000010 loss: 0.1944 (0.2077) labels_encoder: 0.1944 (0.2077) labels_encoder_unscaled: 0.1944 (0.2077) time: 0.0371 data: 0.0067 max mem: 515
Epoch: [2] [1400/1406] eta: 0:00:00 lr: 0.000010 loss: 0.2002 (0.2071) labels_encoder: 0.2002 (0.2071) labels_encoder_unscaled: 0.2002 (0.2071) time: 0.0395 data: 0.0049 max mem: 515
Epoch: [2] [1405/1406] eta: 0:00:00 lr: 0.000010 loss: 0.2076 (0.2072) labels_encoder: 0.2076 (0.2072) labels_encoder_unscaled: 0.2076 (0.2072) time: 0.0367 data: 0.0017 max mem: 515
Epoch: [2] Total time: 0:00:55 (0.0396 s / it)
Averaged stats: lr: 0.000010 loss: 0.2076 (0.2072) labels_encoder: 0.2076 (0.2072) labels_encoder_unscaled: 0.2076 (0.2072)
Test: [ 0/1613] eta: 0:35:04 loss: 0.2276 (0.2276) labels_encoder: 0.2276 (0.2276) labels_encoder_unscaled: 0.2276 (0.2276) time: 1.3044 data: 1.2825 max mem: 515
Test: [ 50/1613] eta: 0:01:42 loss: 0.2994 (0.6220) labels_encoder: 0.2994 (0.6220) labels_encoder_unscaled: 0.2994 (0.6220) time: 0.0330 data: 0.0148 max mem: 515
Test: [ 100/1613] eta: 0:01:17 loss: 0.0549 (0.4823) labels_encoder: 0.0549 (0.4823) labels_encoder_unscaled: 0.0549 (0.4823) time: 0.0366 data: 0.0212 max mem: 515
Test: [ 150/1613] eta: 0:01:08 loss: 0.3954 (0.4588) labels_encoder: 0.3954 (0.4588) labels_encoder_unscaled: 0.3954 (0.4588) time: 0.0370 data: 0.0231 max mem: 515
Test: [ 200/1613] eta: 0:01:02 loss: 0.7339 (0.5275) labels_encoder: 0.7339 (0.5275) labels_encoder_unscaled: 0.7339 (0.5275) time: 0.0413 data: 0.0259 max mem: 515
Test: [ 250/1613] eta: 0:00:58 loss: 0.2778 (0.5584) labels_encoder: 0.2778 (0.5584) labels_encoder_unscaled: 0.2778 (0.5584) time: 0.0386 data: 0.0222 max mem: 515
Test: [ 300/1613] eta: 0:00:55 loss: 0.3707 (0.5995) labels_encoder: 0.3707 (0.5995) labels_encoder_unscaled: 0.3707 (0.5995) time: 0.0368 data: 0.0201 max mem: 515
Test: [ 350/1613] eta: 0:00:52 loss: 0.8108 (0.5976) labels_encoder: 0.8108 (0.5976) labels_encoder_unscaled: 0.8108 (0.5976) time: 0.0353 data: 0.0177 max mem: 515
Test: [ 400/1613] eta: 0:00:49 loss: 0.4973 (0.6801) labels_encoder: 0.4973 (0.6801) labels_encoder_unscaled: 0.4973 (0.6801) time: 0.0373 data: 0.0214 max mem: 515
Test: [ 450/1613] eta: 0:00:47 loss: 0.5486 (0.7267) labels_encoder: 0.5486 (0.7267) labels_encoder_unscaled: 0.5486 (0.7267) time: 0.0365 data: 0.0210 max mem: 515
Test: [ 500/1613] eta: 0:00:44 loss: 0.2009 (0.6892) labels_encoder: 0.2009 (0.6892) labels_encoder_unscaled: 0.2009 (0.6892) time: 0.0390 data: 0.0226 max mem: 515
Test: [ 550/1613] eta: 0:00:42 loss: 0.4714 (0.6954) labels_encoder: 0.4714 (0.6954) labels_encoder_unscaled: 0.4714 (0.6954) time: 0.0387 data: 0.0220 max mem: 515
Test: [ 600/1613] eta: 0:00:40 loss: 0.5961 (0.7140) labels_encoder: 0.5961 (0.7140) labels_encoder_unscaled: 0.5961 (0.7140) time: 0.0390 data: 0.0206 max mem: 515
Test: [ 650/1613] eta: 0:00:38 loss: 0.6828 (0.7029) labels_encoder: 0.6828 (0.7029) labels_encoder_unscaled: 0.6828 (0.7029) time: 0.0370 data: 0.0198 max mem: 515
Test: [ 700/1613] eta: 0:00:36 loss: 0.3021 (0.6909) labels_encoder: 0.3021 (0.6909) labels_encoder_unscaled: 0.3021 (0.6909) time: 0.0357 data: 0.0206 max mem: 515
Test: [ 750/1613] eta: 0:00:34 loss: 0.5316 (0.6799) labels_encoder: 0.5316 (0.6799) labels_encoder_unscaled: 0.5316 (0.6799) time: 0.0359 data: 0.0200 max mem: 515
Test: [ 800/1613] eta: 0:00:32 loss: 0.4159 (0.6730) labels_encoder: 0.4159 (0.6730) labels_encoder_unscaled: 0.4159 (0.6730) time: 0.0393 data: 0.0232 max mem: 515
Test: [ 850/1613] eta: 0:00:29 loss: 0.9966 (0.6748) labels_encoder: 0.9966 (0.6748) labels_encoder_unscaled: 0.9966 (0.6748) time: 0.0365 data: 0.0226 max mem: 515
Test: [ 900/1613] eta: 0:00:27 loss: 0.4327 (0.6834) labels_encoder: 0.4327 (0.6834) labels_encoder_unscaled: 0.4327 (0.6834) time: 0.0384 data: 0.0228 max mem: 515
Test: [ 950/1613] eta: 0:00:25 loss: 0.5387 (0.6759) labels_encoder: 0.5387 (0.6759) labels_encoder_unscaled: 0.5387 (0.6759) time: 0.0358 data: 0.0199 max mem: 515
Test: [1000/1613] eta: 0:00:23 loss: 0.3413 (0.6669) labels_encoder: 0.3413 (0.6669) labels_encoder_unscaled: 0.3413 (0.6669) time: 0.0366 data: 0.0215 max mem: 515
Test: [1050/1613] eta: 0:00:21 loss: 0.5547 (0.6645) labels_encoder: 0.5547 (0.6645) labels_encoder_unscaled: 0.5547 (0.6645) time: 0.0374 data: 0.0196 max mem: 515
Test: [1100/1613] eta: 0:00:20 loss: 0.5022 (0.6641) labels_encoder: 0.5022 (0.6641) labels_encoder_unscaled: 0.5022 (0.6641) time: 0.0427 data: 0.0227 max mem: 515
Test: [1150/1613] eta: 0:00:18 loss: 0.3626 (0.6589) labels_encoder: 0.3626 (0.6589) labels_encoder_unscaled: 0.3626 (0.6589) time: 0.0364 data: 0.0190 max mem: 515
Test: [1200/1613] eta: 0:00:16 loss: 0.3402 (0.6623) labels_encoder: 0.3402 (0.6623) labels_encoder_unscaled: 0.3402 (0.6623) time: 0.0398 data: 0.0216 max mem: 515
Test: [1250/1613] eta: 0:00:14 loss: 0.3180 (0.6642) labels_encoder: 0.3180 (0.6642) labels_encoder_unscaled: 0.3180 (0.6642) time: 0.0375 data: 0.0220 max mem: 515
Test: [1300/1613] eta: 0:00:12 loss: 0.3722 (0.6625) labels_encoder: 0.3722 (0.6625) labels_encoder_unscaled: 0.3722 (0.6625) time: 0.0416 data: 0.0243 max mem: 515
Test: [1350/1613] eta: 0:00:10 loss: 0.5716 (0.6695) labels_encoder: 0.5716 (0.6695) labels_encoder_unscaled: 0.5716 (0.6695) time: 0.0387 data: 0.0236 max mem: 515
Test: [1400/1613] eta: 0:00:08 loss: 0.5815 (0.6683) labels_encoder: 0.5815 (0.6683) labels_encoder_unscaled: 0.5815 (0.6683) time: 0.0392 data: 0.0250 max mem: 515
Test: [1450/1613] eta: 0:00:06 loss: 0.3008 (0.6866) labels_encoder: 0.3008 (0.6866) labels_encoder_unscaled: 0.3008 (0.6866) time: 0.0371 data: 0.0239 max mem: 515
Test: [1500/1613] eta: 0:00:04 loss: 0.7113 (0.6987) labels_encoder: 0.7113 (0.6987) labels_encoder_unscaled: 0.7113 (0.6987) time: 0.0377 data: 0.0222 max mem: 515
Test: [1550/1613] eta: 0:00:02 loss: 0.5105 (0.6957) labels_encoder: 0.5105 (0.6957) labels_encoder_unscaled: 0.5105 (0.6957) time: 0.0366 data: 0.0204 max mem: 515
Test: [1600/1613] eta: 0:00:00 loss: 0.5825 (0.6901) labels_encoder: 0.5825 (0.6901) labels_encoder_unscaled: 0.5825 (0.6901) time: 0.0369 data: 0.0224 max mem: 515
Test: [1612/1613] eta: 0:00:00 loss: 0.5463 (0.6886) labels_encoder: 0.5463 (0.6886) labels_encoder_unscaled: 0.5463 (0.6886) time: 0.0346 data: 0.0212 max mem: 515
Test: Total time: 0:01:02 (0.0389 s / it)
Averaged stats: loss: 0.5463 (0.6886) labels_encoder: 0.5463 (0.6886) labels_encoder_unscaled: 0.5463 (0.6886)
(21, 206375)
(21, 206375)
[Epoch-2] [IDU-anet] mAP: 0.5602, mcAP: 0.9746
BaseballPitch: 0.2961
BasketballDunk: 0.7461
Billiards: 0.3815
CleanAndJerk: 0.7876
CliffDiving: 0.8257
CricketBowling: 0.3783
CricketShot: 0.1843
Diving: 0.6815
FrisbeeCatch: 0.3890
GolfSwing: 0.4906
HammerThrow: 0.8345
HighJump: 0.5215
JavelinThrow: 0.6826
LongJump: 0.7719
PoleVault: 0.8500
Shotput: 0.6845
SoccerPenalty: 0.3976
TennisSwing: 0.4324
ThrowDiscus: 0.5952
VolleyballSpiking: 0.2736
Epoch: [3] [ 0/1406] eta: 0:38:49 lr: 0.000001 loss: 0.1949 (0.1949) labels_encoder: 0.1949 (0.1949) labels_encoder_unscaled: 0.1949 (0.1949) time: 1.6568 data: 1.6083 max mem: 515
Epoch: [3] [ 50/1406] eta: 0:01:45 lr: 0.000001 loss: 0.1826 (0.1904) labels_encoder: 0.1826 (0.1904) labels_encoder_unscaled: 0.1826 (0.1904) time: 0.0383 data: 0.0002 max mem: 515
Epoch: [3] [ 100/1406] eta: 0:01:14 lr: 0.000001 loss: 0.1922 (0.1919) labels_encoder: 0.1922 (0.1919) labels_encoder_unscaled: 0.1922 (0.1919) time: 0.0362 data: 0.0001 max mem: 515
Epoch: [3] [ 150/1406] eta: 0:01:03 lr: 0.000001 loss: 0.1813 (0.1905) labels_encoder: 0.1813 (0.1905) labels_encoder_unscaled: 0.1813 (0.1905) time: 0.0370 data: 0.0002 max mem: 515
Epoch: [3] [ 200/1406] eta: 0:00:57 lr: 0.000001 loss: 0.1732 (0.1894) labels_encoder: 0.1732 (0.1894) labels_encoder_unscaled: 0.1732 (0.1894) time: 0.0365 data: 0.0002 max mem: 515
Epoch: [3] [ 250/1406] eta: 0:00:52 lr: 0.000001 loss: 0.1874 (0.1888) labels_encoder: 0.1874 (0.1888) labels_encoder_unscaled: 0.1874 (0.1888) time: 0.0372 data: 0.0001 max mem: 515
Epoch: [3] [ 300/1406] eta: 0:00:48 lr: 0.000001 loss: 0.1667 (0.1881) labels_encoder: 0.1667 (0.1881) labels_encoder_unscaled: 0.1667 (0.1881) time: 0.0362 data: 0.0001 max mem: 515
Epoch: [3] [ 350/1406] eta: 0:00:45 lr: 0.000001 loss: 0.1770 (0.1879) labels_encoder: 0.1770 (0.1879) labels_encoder_unscaled: 0.1770 (0.1879) time: 0.0400 data: 0.0001 max mem: 515
Epoch: [3] [ 400/1406] eta: 0:00:42 lr: 0.000001 loss: 0.1935 (0.1881) labels_encoder: 0.1935 (0.1881) labels_encoder_unscaled: 0.1935 (0.1881) time: 0.0393 data: 0.0002 max mem: 515
Epoch: [3] [ 450/1406] eta: 0:00:39 lr: 0.000001 loss: 0.1813 (0.1873) labels_encoder: 0.1813 (0.1873) labels_encoder_unscaled: 0.1813 (0.1873) time: 0.0382 data: 0.0002 max mem: 515
Epoch: [3] [ 500/1406] eta: 0:00:37 lr: 0.000001 loss: 0.1634 (0.1865) labels_encoder: 0.1634 (0.1865) labels_encoder_unscaled: 0.1634 (0.1865) time: 0.0329 data: 0.0002 max mem: 515
Epoch: [3] [ 550/1406] eta: 0:00:35 lr: 0.000001 loss: 0.1848 (0.1859) labels_encoder: 0.1848 (0.1859) labels_encoder_unscaled: 0.1848 (0.1859) time: 0.0348 data: 0.0003 max mem: 515
Epoch: [3] [ 600/1406] eta: 0:00:32 lr: 0.000001 loss: 0.1937 (0.1862) labels_encoder: 0.1937 (0.1862) labels_encoder_unscaled: 0.1937 (0.1862) time: 0.0369 data: 0.0002 max mem: 515
Epoch: [3] [ 650/1406] eta: 0:00:30 lr: 0.000001 loss: 0.1977 (0.1864) labels_encoder: 0.1977 (0.1864) labels_encoder_unscaled: 0.1977 (0.1864) time: 0.0357 data: 0.0001 max mem: 515
Epoch: [3] [ 700/1406] eta: 0:00:28 lr: 0.000001 loss: 0.2099 (0.1878) labels_encoder: 0.2099 (0.1878) labels_encoder_unscaled: 0.2099 (0.1878) time: 0.0368 data: 0.0001 max mem: 515
Epoch: [3] [ 750/1406] eta: 0:00:26 lr: 0.000001 loss: 0.1650 (0.1877) labels_encoder: 0.1650 (0.1877) labels_encoder_unscaled: 0.1650 (0.1877) time: 0.0361 data: 0.0001 max mem: 515
Epoch: [3] [ 800/1406] eta: 0:00:24 lr: 0.000001 loss: 0.1845 (0.1878) labels_encoder: 0.1845 (0.1878) labels_encoder_unscaled: 0.1845 (0.1878) time: 0.0377 data: 0.0001 max mem: 515
Epoch: [3] [ 850/1406] eta: 0:00:22 lr: 0.000001 loss: 0.1869 (0.1881) labels_encoder: 0.1869 (0.1881) labels_encoder_unscaled: 0.1869 (0.1881) time: 0.0377 data: 0.0002 max mem: 515
Epoch: [3] [ 900/1406] eta: 0:00:20 lr: 0.000001 loss: 0.1813 (0.1882) labels_encoder: 0.1813 (0.1882) labels_encoder_unscaled: 0.1813 (0.1882) time: 0.0393 data: 0.0002 max mem: 515
Epoch: [3] [ 950/1406] eta: 0:00:18 lr: 0.000001 loss: 0.1776 (0.1884) labels_encoder: 0.1776 (0.1884) labels_encoder_unscaled: 0.1776 (0.1884) time: 0.0388 data: 0.0002 max mem: 515
Epoch: [3] [1000/1406] eta: 0:00:16 lr: 0.000001 loss: 0.1890 (0.1886) labels_encoder: 0.1890 (0.1886) labels_encoder_unscaled: 0.1890 (0.1886) time: 0.0389 data: 0.0002 max mem: 515
Epoch: [3] [1050/1406] eta: 0:00:14 lr: 0.000001 loss: 0.1823 (0.1889) labels_encoder: 0.1823 (0.1889) labels_encoder_unscaled: 0.1823 (0.1889) time: 0.0405 data: 0.0002 max mem: 515
Epoch: [3] [1100/1406] eta: 0:00:12 lr: 0.000001 loss: 0.1878 (0.1892) labels_encoder: 0.1878 (0.1892) labels_encoder_unscaled: 0.1878 (0.1892) time: 0.0385 data: 0.0002 max mem: 515
Epoch: [3] [1150/1406] eta: 0:00:10 lr: 0.000001 loss: 0.1692 (0.1890) labels_encoder: 0.1692 (0.1890) labels_encoder_unscaled: 0.1692 (0.1890) time: 0.0377 data: 0.0002 max mem: 515
Epoch: [3] [1200/1406] eta: 0:00:08 lr: 0.000001 loss: 0.1937 (0.1892) labels_encoder: 0.1937 (0.1892) labels_encoder_unscaled: 0.1937 (0.1892) time: 0.0397 data: 0.0002 max mem: 515
Epoch: [3] [1250/1406] eta: 0:00:06 lr: 0.000001 loss: 0.1829 (0.1892) labels_encoder: 0.1829 (0.1892) labels_encoder_unscaled: 0.1829 (0.1892) time: 0.0400 data: 0.0002 max mem: 515
Epoch: [3] [1300/1406] eta: 0:00:04 lr: 0.000001 loss: 0.1693 (0.1892) labels_encoder: 0.1693 (0.1892) labels_encoder_unscaled: 0.1693 (0.1892) time: 0.0374 data: 0.0002 max mem: 515
Epoch: [3] [1350/1406] eta: 0:00:02 lr: 0.000001 loss: 0.1920 (0.1891) labels_encoder: 0.1920 (0.1891) labels_encoder_unscaled: 0.1920 (0.1891) time: 0.0387 data: 0.0002 max mem: 515
Epoch: [3] [1400/1406] eta: 0:00:00 lr: 0.000001 loss: 0.1784 (0.1888) labels_encoder: 0.1784 (0.1888) labels_encoder_unscaled: 0.1784 (0.1888) time: 0.0382 data: 0.0002 max mem: 515
Epoch: [3] [1405/1406] eta: 0:00:00 lr: 0.000001 loss: 0.1818 (0.1889) labels_encoder: 0.1818 (0.1889) labels_encoder_unscaled: 0.1818 (0.1889) time: 0.0365 data: 0.0002 max mem: 515
Epoch: [3] Total time: 0:00:55 (0.0394 s / it)
Averaged stats: lr: 0.000001 loss: 0.1818 (0.1889) labels_encoder: 0.1818 (0.1889) labels_encoder_unscaled: 0.1818 (0.1889)
Test: [ 0/1613] eta: 0:42:07 loss: 0.1168 (0.1168) labels_encoder: 0.1168 (0.1168) labels_encoder_unscaled: 0.1168 (0.1168) time: 1.5669 data: 1.5504 max mem: 515
Test: [ 50/1613] eta: 0:01:40 loss: 0.2796 (0.6237) labels_encoder: 0.2796 (0.6237) labels_encoder_unscaled: 0.2796 (0.6237) time: 0.0378 data: 0.0227 max mem: 515
Test: [ 100/1613] eta: 0:01:16 loss: 0.0934 (0.4793) labels_encoder: 0.0934 (0.4793) labels_encoder_unscaled: 0.0934 (0.4793) time: 0.0358 data: 0.0212 max mem: 515
Test: [ 150/1613] eta: 0:01:07 loss: 0.4520 (0.4550) labels_encoder: 0.4520 (0.4550) labels_encoder_unscaled: 0.4520 (0.4550) time: 0.0392 data: 0.0203 max mem: 515
Test: [ 200/1613] eta: 0:01:02 loss: 0.7089 (0.5226) labels_encoder: 0.7089 (0.5226) labels_encoder_unscaled: 0.7089 (0.5226) time: 0.0419 data: 0.0274 max mem: 515
Test: [ 250/1613] eta: 0:00:58 loss: 0.3037 (0.5527) labels_encoder: 0.3037 (0.5527) labels_encoder_unscaled: 0.3037 (0.5527) time: 0.0388 data: 0.0209 max mem: 515
Test: [ 300/1613] eta: 0:00:55 loss: 0.2928 (0.5900) labels_encoder: 0.2928 (0.5900) labels_encoder_unscaled: 0.2928 (0.5900) time: 0.0406 data: 0.0239 max mem: 515
Test: [ 350/1613] eta: 0:00:53 loss: 0.7489 (0.5912) labels_encoder: 0.7489 (0.5912) labels_encoder_unscaled: 0.7489 (0.5912) time: 0.0401 data: 0.0235 max mem: 515
Test: [ 400/1613] eta: 0:00:50 loss: 0.4614 (0.6631) labels_encoder: 0.4614 (0.6631) labels_encoder_unscaled: 0.4614 (0.6631) time: 0.0375 data: 0.0199 max mem: 515
Test: [ 450/1613] eta: 0:00:47 loss: 0.5549 (0.7087) labels_encoder: 0.5549 (0.7087) labels_encoder_unscaled: 0.5549 (0.7087) time: 0.0366 data: 0.0206 max mem: 515
Test: [ 500/1613] eta: 0:00:45 loss: 0.2054 (0.6734) labels_encoder: 0.2054 (0.6734) labels_encoder_unscaled: 0.2054 (0.6734) time: 0.0445 data: 0.0241 max mem: 515
Test: [ 550/1613] eta: 0:00:43 loss: 0.6135 (0.6799) labels_encoder: 0.6135 (0.6799) labels_encoder_unscaled: 0.6135 (0.6799) time: 0.0388 data: 0.0237 max mem: 515
Test: [ 600/1613] eta: 0:00:40 loss: 0.5624 (0.7013) labels_encoder: 0.5624 (0.7013) labels_encoder_unscaled: 0.5624 (0.7013) time: 0.0372 data: 0.0223 max mem: 515
Test: [ 650/1613] eta: 0:00:38 loss: 0.5972 (0.6876) labels_encoder: 0.5972 (0.6876) labels_encoder_unscaled: 0.5972 (0.6876) time: 0.0370 data: 0.0222 max mem: 515
Test: [ 700/1613] eta: 0:00:36 loss: 0.3315 (0.6777) labels_encoder: 0.3315 (0.6777) labels_encoder_unscaled: 0.3315 (0.6777) time: 0.0382 data: 0.0214 max mem: 515
Test: [ 750/1613] eta: 0:00:34 loss: 0.4402 (0.6628) labels_encoder: 0.4402 (0.6628) labels_encoder_unscaled: 0.4402 (0.6628) time: 0.0395 data: 0.0244 max mem: 515
Test: [ 800/1613] eta: 0:00:32 loss: 0.4233 (0.6593) labels_encoder: 0.4233 (0.6593) labels_encoder_unscaled: 0.4233 (0.6593) time: 0.0361 data: 0.0203 max mem: 515
Test: [ 850/1613] eta: 0:00:30 loss: 1.0105 (0.6631) labels_encoder: 1.0105 (0.6631) labels_encoder_unscaled: 1.0105 (0.6631) time: 0.0373 data: 0.0234 max mem: 515
Test: [ 900/1613] eta: 0:00:28 loss: 0.4470 (0.6752) labels_encoder: 0.4470 (0.6752) labels_encoder_unscaled: 0.4470 (0.6752) time: 0.0362 data: 0.0209 max mem: 515
Test: [ 950/1613] eta: 0:00:26 loss: 0.5113 (0.6685) labels_encoder: 0.5113 (0.6685) labels_encoder_unscaled: 0.5113 (0.6685) time: 0.0353 data: 0.0203 max mem: 515
Test: [1000/1613] eta: 0:00:24 loss: 0.4249 (0.6574) labels_encoder: 0.4249 (0.6574) labels_encoder_unscaled: 0.4249 (0.6574) time: 0.0359 data: 0.0214 max mem: 515
Test: [1050/1613] eta: 0:00:22 loss: 0.6205 (0.6539) labels_encoder: 0.6205 (0.6539) labels_encoder_unscaled: 0.6205 (0.6539) time: 0.0379 data: 0.0228 max mem: 515
Test: [1100/1613] eta: 0:00:20 loss: 0.5468 (0.6545) labels_encoder: 0.5468 (0.6545) labels_encoder_unscaled: 0.5468 (0.6545) time: 0.0395 data: 0.0239 max mem: 515
Test: [1150/1613] eta: 0:00:18 loss: 0.3287 (0.6481) labels_encoder: 0.3287 (0.6481) labels_encoder_unscaled: 0.3287 (0.6481) time: 0.0375 data: 0.0221 max mem: 515
Test: [1200/1613] eta: 0:00:16 loss: 0.3537 (0.6521) labels_encoder: 0.3537 (0.6521) labels_encoder_unscaled: 0.3537 (0.6521) time: 0.0369 data: 0.0230 max mem: 515
Test: [1250/1613] eta: 0:00:14 loss: 0.2535 (0.6531) labels_encoder: 0.2535 (0.6531) labels_encoder_unscaled: 0.2535 (0.6531) time: 0.0370 data: 0.0227 max mem: 515
Test: [1300/1613] eta: 0:00:12 loss: 0.2527 (0.6509) labels_encoder: 0.2527 (0.6509) labels_encoder_unscaled: 0.2527 (0.6509) time: 0.0371 data: 0.0228 max mem: 515
Test: [1350/1613] eta: 0:00:10 loss: 0.4587 (0.6576) labels_encoder: 0.4587 (0.6576) labels_encoder_unscaled: 0.4587 (0.6576) time: 0.0358 data: 0.0205 max mem: 515
Test: [1400/1613] eta: 0:00:08 loss: 0.4983 (0.6558) labels_encoder: 0.4983 (0.6558) labels_encoder_unscaled: 0.4983 (0.6558) time: 0.0371 data: 0.0241 max mem: 515
Test: [1450/1613] eta: 0:00:06 loss: 0.3088 (0.6689) labels_encoder: 0.3088 (0.6689) labels_encoder_unscaled: 0.3088 (0.6689) time: 0.0387 data: 0.0241 max mem: 515
Test: [1500/1613] eta: 0:00:04 loss: 0.5272 (0.6766) labels_encoder: 0.5272 (0.6766) labels_encoder_unscaled: 0.5272 (0.6766) time: 0.0366 data: 0.0232 max mem: 515
Test: [1550/1613] eta: 0:00:02 loss: 0.4836 (0.6731) labels_encoder: 0.4836 (0.6731) labels_encoder_unscaled: 0.4836 (0.6731) time: 0.0368 data: 0.0210 max mem: 515
Test: [1600/1613] eta: 0:00:00 loss: 0.5965 (0.6683) labels_encoder: 0.5965 (0.6683) labels_encoder_unscaled: 0.5965 (0.6683) time: 0.0381 data: 0.0212 max mem: 515
Test: [1612/1613] eta: 0:00:00 loss: 0.4987 (0.6673) labels_encoder: 0.4987 (0.6673) labels_encoder_unscaled: 0.4987 (0.6673) time: 0.0337 data: 0.0188 max mem: 515
Test: Total time: 0:01:03 (0.0391 s / it)
Averaged stats: loss: 0.4987 (0.6673) labels_encoder: 0.4987 (0.6673) labels_encoder_unscaled: 0.4987 (0.6673)
(21, 206375)
(21, 206375)
[Epoch-3] [IDU-anet] mAP: 0.5611, mcAP: 0.9747
BaseballPitch: 0.2963
BasketballDunk: 0.7473
Billiards: 0.3929
CleanAndJerk: 0.7838
CliffDiving: 0.8263
CricketBowling: 0.3722
CricketShot: 0.1787
Diving: 0.6713
FrisbeeCatch: 0.3926
GolfSwing: 0.4592
HammerThrow: 0.8341
HighJump: 0.5363
JavelinThrow: 0.6801
LongJump: 0.7821
PoleVault: 0.8514
Shotput: 0.6825
SoccerPenalty: 0.3935
TennisSwing: 0.4764
ThrowDiscus: 0.5846
VolleyballSpiking: 0.2800
Epoch: [4] [ 0/1406] eta: 0:41:36 lr: 0.000000 loss: 0.1827 (0.1827) labels_encoder: 0.1827 (0.1827) labels_encoder_unscaled: 0.1827 (0.1827) time: 1.7758 data: 1.7409 max mem: 515
Epoch: [4] [ 50/1406] eta: 0:01:35 lr: 0.000000 loss: 0.1751 (0.1827) labels_encoder: 0.1751 (0.1827) labels_encoder_unscaled: 0.1751 (0.1827) time: 0.0354 data: 0.0015 max mem: 515
Epoch: [4] [ 100/1406] eta: 0:01:15 lr: 0.000000 loss: 0.1707 (0.1790) labels_encoder: 0.1707 (0.1790) labels_encoder_unscaled: 0.1707 (0.1790) time: 0.0397 data: 0.0048 max mem: 515
Epoch: [4] [ 150/1406] eta: 0:01:03 lr: 0.000000 loss: 0.1870 (0.1843) labels_encoder: 0.1870 (0.1843) labels_encoder_unscaled: 0.1870 (0.1843) time: 0.0363 data: 0.0002 max mem: 515
Epoch: [4] [ 200/1406] eta: 0:00:57 lr: 0.000000 loss: 0.1783 (0.1848) labels_encoder: 0.1783 (0.1848) labels_encoder_unscaled: 0.1783 (0.1848) time: 0.0417 data: 0.0014 max mem: 515
Epoch: [4] [ 250/1406] eta: 0:00:52 lr: 0.000000 loss: 0.2061 (0.1859) labels_encoder: 0.2061 (0.1859) labels_encoder_unscaled: 0.2061 (0.1859) time: 0.0372 data: 0.0002 max mem: 515
Epoch: [4] [ 300/1406] eta: 0:00:49 lr: 0.000000 loss: 0.1852 (0.1858) labels_encoder: 0.1852 (0.1858) labels_encoder_unscaled: 0.1852 (0.1858) time: 0.0381 data: 0.0002 max mem: 515
Epoch: [4] [ 350/1406] eta: 0:00:46 lr: 0.000000 loss: 0.1965 (0.1857) labels_encoder: 0.1965 (0.1857) labels_encoder_unscaled: 0.1965 (0.1857) time: 0.0392 data: 0.0002 max mem: 515
Epoch: [4] [ 400/1406] eta: 0:00:43 lr: 0.000000 loss: 0.1793 (0.1844) labels_encoder: 0.1793 (0.1844) labels_encoder_unscaled: 0.1793 (0.1844) time: 0.0389 data: 0.0002 max mem: 515
Epoch: [4] [ 450/1406] eta: 0:00:41 lr: 0.000000 loss: 0.1877 (0.1849) labels_encoder: 0.1877 (0.1849) labels_encoder_unscaled: 0.1877 (0.1849) time: 0.0420 data: 0.0002 max mem: 515
Epoch: [4] [ 500/1406] eta: 0:00:38 lr: 0.000000 loss: 0.1630 (0.1849) labels_encoder: 0.1630 (0.1849) labels_encoder_unscaled: 0.1630 (0.1849) time: 0.0373 data: 0.0002 max mem: 515
Epoch: [4] [ 550/1406] eta: 0:00:36 lr: 0.000000 loss: 0.1783 (0.1857) labels_encoder: 0.1783 (0.1857) labels_encoder_unscaled: 0.1783 (0.1857) time: 0.0368 data: 0.0002 max mem: 515
Epoch: [4] [ 600/1406] eta: 0:00:33 lr: 0.000000 loss: 0.1732 (0.1845) labels_encoder: 0.1732 (0.1845) labels_encoder_unscaled: 0.1732 (0.1845) time: 0.0387 data: 0.0002 max mem: 515
Epoch: [4] [ 650/1406] eta: 0:00:31 lr: 0.000000 loss: 0.2013 (0.1850) labels_encoder: 0.2013 (0.1850) labels_encoder_unscaled: 0.2013 (0.1850) time: 0.0393 data: 0.0002 max mem: 515
Epoch: [4] [ 700/1406] eta: 0:00:29 lr: 0.000000 loss: 0.1715 (0.1854) labels_encoder: 0.1715 (0.1854) labels_encoder_unscaled: 0.1715 (0.1854) time: 0.0373 data: 0.0002 max mem: 515
Epoch: [4] [ 750/1406] eta: 0:00:27 lr: 0.000000 loss: 0.2039 (0.1855) labels_encoder: 0.2039 (0.1855) labels_encoder_unscaled: 0.2039 (0.1855) time: 0.0372 data: 0.0002 max mem: 515
Epoch: [4] [ 800/1406] eta: 0:00:24 lr: 0.000000 loss: 0.1649 (0.1859) labels_encoder: 0.1649 (0.1859) labels_encoder_unscaled: 0.1649 (0.1859) time: 0.0381 data: 0.0002 max mem: 515
Epoch: [4] [ 850/1406] eta: 0:00:22 lr: 0.000000 loss: 0.1772 (0.1857) labels_encoder: 0.1772 (0.1857) labels_encoder_unscaled: 0.1772 (0.1857) time: 0.0388 data: 0.0002 max mem: 515
Epoch: [4] [ 900/1406] eta: 0:00:20 lr: 0.000000 loss: 0.1860 (0.1857) labels_encoder: 0.1860 (0.1857) labels_encoder_unscaled: 0.1860 (0.1857) time: 0.0386 data: 0.0002 max mem: 515
Epoch: [4] [ 950/1406] eta: 0:00:18 lr: 0.000000 loss: 0.1763 (0.1859) labels_encoder: 0.1763 (0.1859) labels_encoder_unscaled: 0.1763 (0.1859) time: 0.0366 data: 0.0002 max mem: 515
Epoch: [4] [1000/1406] eta: 0:00:16 lr: 0.000000 loss: 0.1876 (0.1861) labels_encoder: 0.1876 (0.1861) labels_encoder_unscaled: 0.1876 (0.1861) time: 0.0370 data: 0.0002 max mem: 515
Epoch: [4] [1050/1406] eta: 0:00:14 lr: 0.000000 loss: 0.1902 (0.1863) labels_encoder: 0.1902 (0.1863) labels_encoder_unscaled: 0.1902 (0.1863) time: 0.0372 data: 0.0002 max mem: 515
Epoch: [4] [1100/1406] eta: 0:00:12 lr: 0.000000 loss: 0.1895 (0.1865) labels_encoder: 0.1895 (0.1865) labels_encoder_unscaled: 0.1895 (0.1865) time: 0.0378 data: 0.0002 max mem: 515
Epoch: [4] [1150/1406] eta: 0:00:10 lr: 0.000000 loss: 0.1936 (0.1867) labels_encoder: 0.1936 (0.1867) labels_encoder_unscaled: 0.1936 (0.1867) time: 0.0374 data: 0.0001 max mem: 515
Epoch: [4] [1200/1406] eta: 0:00:08 lr: 0.000000 loss: 0.2034 (0.1872) labels_encoder: 0.2034 (0.1872) labels_encoder_unscaled: 0.2034 (0.1872) time: 0.0363 data: 0.0001 max mem: 515
Epoch: [4] [1250/1406] eta: 0:00:06 lr: 0.000000 loss: 0.1728 (0.1870) labels_encoder: 0.1728 (0.1870) labels_encoder_unscaled: 0.1728 (0.1870) time: 0.0383 data: 0.0001 max mem: 515
Epoch: [4] [1300/1406] eta: 0:00:04 lr: 0.000000 loss: 0.1650 (0.1870) labels_encoder: 0.1650 (0.1870) labels_encoder_unscaled: 0.1650 (0.1870) time: 0.0389 data: 0.0002 max mem: 515
Epoch: [4] [1350/1406] eta: 0:00:02 lr: 0.000000 loss: 0.1802 (0.1869) labels_encoder: 0.1802 (0.1869) labels_encoder_unscaled: 0.1802 (0.1869) time: 0.0372 data: 0.0001 max mem: 515
Epoch: [4] [1400/1406] eta: 0:00:00 lr: 0.000000 loss: 0.1866 (0.1870) labels_encoder: 0.1866 (0.1870) labels_encoder_unscaled: 0.1866 (0.1870) time: 0.0364 data: 0.0002 max mem: 515
Epoch: [4] [1405/1406] eta: 0:00:00 lr: 0.000000 loss: 0.1880 (0.1871) labels_encoder: 0.1880 (0.1871) labels_encoder_unscaled: 0.1880 (0.1871) time: 0.0349 data: 0.0002 max mem: 515
Epoch: [4] Total time: 0:00:56 (0.0399 s / it)
Averaged stats: lr: 0.000000 loss: 0.1880 (0.1871) labels_encoder: 0.1880 (0.1871) labels_encoder_unscaled: 0.1880 (0.1871)
Test: [ 0/1613] eta: 0:37:49 loss: 0.1539 (0.1539) labels_encoder: 0.1539 (0.1539) labels_encoder_unscaled: 0.1539 (0.1539) time: 1.4071 data: 1.3906 max mem: 515
Test: [ 50/1613] eta: 0:01:50 loss: 0.3453 (0.6411) labels_encoder: 0.3453 (0.6411) labels_encoder_unscaled: 0.3453 (0.6411) time: 0.0347 data: 0.0177 max mem: 515
Test: [ 100/1613] eta: 0:01:21 loss: 0.0772 (0.4861) labels_encoder: 0.0772 (0.4861) labels_encoder_unscaled: 0.0772 (0.4861) time: 0.0363 data: 0.0202 max mem: 515
Test: [ 150/1613] eta: 0:01:10 loss: 0.4461 (0.4663) labels_encoder: 0.4461 (0.4663) labels_encoder_unscaled: 0.4461 (0.4663) time: 0.0372 data: 0.0195 max mem: 515
Test: [ 200/1613] eta: 0:01:05 loss: 0.6995 (0.5323) labels_encoder: 0.6995 (0.5323) labels_encoder_unscaled: 0.6995 (0.5323) time: 0.0408 data: 0.0245 max mem: 515
Test: [ 250/1613] eta: 0:01:00 loss: 0.2720 (0.5576) labels_encoder: 0.2720 (0.5576) labels_encoder_unscaled: 0.2720 (0.5576) time: 0.0396 data: 0.0241 max mem: 515
Test: [ 300/1613] eta: 0:00:57 loss: 0.3127 (0.5930) labels_encoder: 0.3127 (0.5930) labels_encoder_unscaled: 0.3127 (0.5930) time: 0.0376 data: 0.0234 max mem: 515
Test: [ 350/1613] eta: 0:00:54 loss: 0.8288 (0.5932) labels_encoder: 0.8288 (0.5932) labels_encoder_unscaled: 0.8288 (0.5932) time: 0.0413 data: 0.0242 max mem: 515
Test: [ 400/1613] eta: 0:00:51 loss: 0.4646 (0.6701) labels_encoder: 0.4646 (0.6701) labels_encoder_unscaled: 0.4646 (0.6701) time: 0.0400 data: 0.0220 max mem: 515
Test: [ 450/1613] eta: 0:00:48 loss: 0.5878 (0.7179) labels_encoder: 0.5878 (0.7179) labels_encoder_unscaled: 0.5878 (0.7179) time: 0.0365 data: 0.0210 max mem: 515
Test: [ 500/1613] eta: 0:00:46 loss: 0.2005 (0.6820) labels_encoder: 0.2005 (0.6820) labels_encoder_unscaled: 0.2005 (0.6820) time: 0.0386 data: 0.0202 max mem: 515
Test: [ 550/1613] eta: 0:00:43 loss: 0.5007 (0.6848) labels_encoder: 0.5007 (0.6848) labels_encoder_unscaled: 0.5007 (0.6848) time: 0.0368 data: 0.0217 max mem: 515
Test: [ 600/1613] eta: 0:00:41 loss: 0.6060 (0.7054) labels_encoder: 0.6060 (0.7054) labels_encoder_unscaled: 0.6060 (0.7054) time: 0.0381 data: 0.0232 max mem: 515
Test: [ 650/1613] eta: 0:00:39 loss: 0.6258 (0.6895) labels_encoder: 0.6258 (0.6895) labels_encoder_unscaled: 0.6258 (0.6895) time: 0.0405 data: 0.0236 max mem: 515
Test: [ 700/1613] eta: 0:00:36 loss: 0.3406 (0.6798) labels_encoder: 0.3406 (0.6798) labels_encoder_unscaled: 0.3406 (0.6798) time: 0.0362 data: 0.0196 max mem: 515
Test: [ 750/1613] eta: 0:00:34 loss: 0.3834 (0.6654) labels_encoder: 0.3834 (0.6654) labels_encoder_unscaled: 0.3834 (0.6654) time: 0.0402 data: 0.0255 max mem: 515
Test: [ 800/1613] eta: 0:00:32 loss: 0.4382 (0.6605) labels_encoder: 0.4382 (0.6605) labels_encoder_unscaled: 0.4382 (0.6605) time: 0.0369 data: 0.0230 max mem: 515
Test: [ 850/1613] eta: 0:00:30 loss: 0.9689 (0.6640) labels_encoder: 0.9689 (0.6640) labels_encoder_unscaled: 0.9689 (0.6640) time: 0.0380 data: 0.0237 max mem: 515
Test: [ 900/1613] eta: 0:00:28 loss: 0.4454 (0.6754) labels_encoder: 0.4454 (0.6754) labels_encoder_unscaled: 0.4454 (0.6754) time: 0.0373 data: 0.0224 max mem: 515
Test: [ 950/1613] eta: 0:00:26 loss: 0.4608 (0.6674) labels_encoder: 0.4608 (0.6674) labels_encoder_unscaled: 0.4608 (0.6674) time: 0.0375 data: 0.0214 max mem: 515
Test: [1000/1613] eta: 0:00:24 loss: 0.3701 (0.6572) labels_encoder: 0.3701 (0.6572) labels_encoder_unscaled: 0.3701 (0.6572) time: 0.0383 data: 0.0231 max mem: 515
Test: [1050/1613] eta: 0:00:22 loss: 0.5924 (0.6540) labels_encoder: 0.5924 (0.6540) labels_encoder_unscaled: 0.5924 (0.6540) time: 0.0378 data: 0.0228 max mem: 515
Test: [1100/1613] eta: 0:00:20 loss: 0.5361 (0.6542) labels_encoder: 0.5361 (0.6542) labels_encoder_unscaled: 0.5361 (0.6542) time: 0.0373 data: 0.0226 max mem: 515
Test: [1150/1613] eta: 0:00:18 loss: 0.3726 (0.6482) labels_encoder: 0.3726 (0.6482) labels_encoder_unscaled: 0.3726 (0.6482) time: 0.0373 data: 0.0233 max mem: 515
Test: [1200/1613] eta: 0:00:16 loss: 0.3454 (0.6516) labels_encoder: 0.3454 (0.6516) labels_encoder_unscaled: 0.3454 (0.6516) time: 0.0368 data: 0.0235 max mem: 515
Test: [1250/1613] eta: 0:00:14 loss: 0.2899 (0.6532) labels_encoder: 0.2899 (0.6532) labels_encoder_unscaled: 0.2899 (0.6532) time: 0.0393 data: 0.0207 max mem: 515
Test: [1300/1613] eta: 0:00:12 loss: 0.3022 (0.6511) labels_encoder: 0.3022 (0.6511) labels_encoder_unscaled: 0.3022 (0.6511) time: 0.0400 data: 0.0248 max mem: 515
Test: [1350/1613] eta: 0:00:10 loss: 0.4589 (0.6590) labels_encoder: 0.4589 (0.6590) labels_encoder_unscaled: 0.4589 (0.6590) time: 0.0370 data: 0.0222 max mem: 515
Test: [1400/1613] eta: 0:00:08 loss: 0.6106 (0.6581) labels_encoder: 0.6106 (0.6581) labels_encoder_unscaled: 0.6106 (0.6581) time: 0.0370 data: 0.0209 max mem: 515
Test: [1450/1613] eta: 0:00:06 loss: 0.2880 (0.6727) labels_encoder: 0.2880 (0.6727) labels_encoder_unscaled: 0.2880 (0.6727) time: 0.0407 data: 0.0262 max mem: 515
Test: [1500/1613] eta: 0:00:04 loss: 0.5616 (0.6822) labels_encoder: 0.5616 (0.6822) labels_encoder_unscaled: 0.5616 (0.6822) time: 0.0403 data: 0.0251 max mem: 515
Test: [1550/1613] eta: 0:00:02 loss: 0.5304 (0.6794) labels_encoder: 0.5304 (0.6794) labels_encoder_unscaled: 0.5304 (0.6794) time: 0.0381 data: 0.0236 max mem: 515
Test: [1600/1613] eta: 0:00:00 loss: 0.6032 (0.6742) labels_encoder: 0.6032 (0.6742) labels_encoder_unscaled: 0.6032 (0.6742) time: 0.0367 data: 0.0230 max mem: 515
Test: [1612/1613] eta: 0:00:00 loss: 0.5601 (0.6731) labels_encoder: 0.5601 (0.6731) labels_encoder_unscaled: 0.5601 (0.6731) time: 0.0344 data: 0.0217 max mem: 515
Test: Total time: 0:01:03 (0.0394 s / it)
Averaged stats: loss: 0.5601 (0.6731) labels_encoder: 0.5601 (0.6731) labels_encoder_unscaled: 0.5601 (0.6731)
(21, 206375)
(21, 206375)
[Epoch-4] [IDU-anet] mAP: 0.5600, mcAP: 0.9743
BaseballPitch: 0.2686
BasketballDunk: 0.7476
Billiards: 0.4065
CleanAndJerk: 0.7898
CliffDiving: 0.8296
CricketBowling: 0.3693
CricketShot: 0.1855
Diving: 0.6859
FrisbeeCatch: 0.3719
GolfSwing: 0.4896
HammerThrow: 0.8359
HighJump: 0.5341
JavelinThrow: 0.6679
LongJump: 0.7882
PoleVault: 0.8478
Shotput: 0.6772
SoccerPenalty: 0.3911
TennisSwing: 0.4437
ThrowDiscus: 0.5888
VolleyballSpiking: 0.2818
Training time 0:08:05