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oadtr_b1_recycling_learned_127_seed1_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:1
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] [ 0/1415] eta: 0:44:46 lr: 0.000100 loss: 3.6520 (3.6520) labels_encoder: 3.6520 (3.6520) labels_encoder_unscaled: 3.6520 (3.6520) time: 1.8986 data: 1.7797 max mem: 416
Epoch: [1] [ 50/1415] eta: 0:01:49 lr: 0.000100 loss: 0.7556 (1.0848) labels_encoder: 0.7556 (1.0848) labels_encoder_unscaled: 0.7556 (1.0848) time: 0.0441 data: 0.0132 max mem: 515
Epoch: [1] [ 100/1415] eta: 0:01:17 lr: 0.000100 loss: 0.6465 (0.8673) labels_encoder: 0.6465 (0.8673) labels_encoder_unscaled: 0.6465 (0.8673) time: 0.0360 data: 0.0002 max mem: 515
Epoch: [1] [ 150/1415] eta: 0:01:05 lr: 0.000100 loss: 0.5210 (0.7522) labels_encoder: 0.5210 (0.7522) labels_encoder_unscaled: 0.5210 (0.7522) time: 0.0386 data: 0.0013 max mem: 515
Epoch: [1] [ 200/1415] eta: 0:00:59 lr: 0.000100 loss: 0.5024 (0.6896) labels_encoder: 0.5024 (0.6896) labels_encoder_unscaled: 0.5024 (0.6896) time: 0.0395 data: 0.0002 max mem: 515
Epoch: [1] [ 250/1415] eta: 0:00:54 lr: 0.000100 loss: 0.4903 (0.6447) labels_encoder: 0.4903 (0.6447) labels_encoder_unscaled: 0.4903 (0.6447) time: 0.0370 data: 0.0002 max mem: 515
Epoch: [1] [ 300/1415] eta: 0:00:50 lr: 0.000100 loss: 0.4504 (0.6146) labels_encoder: 0.4504 (0.6146) labels_encoder_unscaled: 0.4504 (0.6146) time: 0.0379 data: 0.0002 max mem: 515
Epoch: [1] [ 350/1415] eta: 0:00:47 lr: 0.000100 loss: 0.4344 (0.5894) labels_encoder: 0.4344 (0.5894) labels_encoder_unscaled: 0.4344 (0.5894) time: 0.0387 data: 0.0002 max mem: 515
Epoch: [1] [ 400/1415] eta: 0:00:44 lr: 0.000100 loss: 0.3735 (0.5630) labels_encoder: 0.3735 (0.5630) labels_encoder_unscaled: 0.3735 (0.5630) time: 0.0366 data: 0.0002 max mem: 515
Epoch: [1] [ 450/1415] eta: 0:00:41 lr: 0.000100 loss: 0.4026 (0.5456) labels_encoder: 0.4026 (0.5456) labels_encoder_unscaled: 0.4026 (0.5456) time: 0.0424 data: 0.0033 max mem: 515
Epoch: [1] [ 500/1415] eta: 0:00:38 lr: 0.000100 loss: 0.3837 (0.5323) labels_encoder: 0.3837 (0.5323) labels_encoder_unscaled: 0.3837 (0.5323) time: 0.0379 data: 0.0002 max mem: 515
Epoch: [1] [ 550/1415] eta: 0:00:36 lr: 0.000100 loss: 0.3354 (0.5175) labels_encoder: 0.3354 (0.5175) labels_encoder_unscaled: 0.3354 (0.5175) time: 0.0381 data: 0.0008 max mem: 515
Epoch: [1] [ 600/1415] eta: 0:00:34 lr: 0.000100 loss: 0.3841 (0.5052) labels_encoder: 0.3841 (0.5052) labels_encoder_unscaled: 0.3841 (0.5052) time: 0.0387 data: 0.0046 max mem: 515
Epoch: [1] [ 650/1415] eta: 0:00:32 lr: 0.000100 loss: 0.3208 (0.4922) labels_encoder: 0.3208 (0.4922) labels_encoder_unscaled: 0.3208 (0.4922) time: 0.0387 data: 0.0002 max mem: 515
Epoch: [1] [ 700/1415] eta: 0:00:29 lr: 0.000100 loss: 0.3063 (0.4823) labels_encoder: 0.3063 (0.4823) labels_encoder_unscaled: 0.3063 (0.4823) time: 0.0378 data: 0.0002 max mem: 515
Epoch: [1] [ 750/1415] eta: 0:00:27 lr: 0.000100 loss: 0.3162 (0.4717) labels_encoder: 0.3162 (0.4717) labels_encoder_unscaled: 0.3162 (0.4717) time: 0.0382 data: 0.0002 max mem: 515
Epoch: [1] [ 800/1415] eta: 0:00:25 lr: 0.000100 loss: 0.2982 (0.4619) labels_encoder: 0.2982 (0.4619) labels_encoder_unscaled: 0.2982 (0.4619) time: 0.0381 data: 0.0002 max mem: 515
Epoch: [1] [ 850/1415] eta: 0:00:23 lr: 0.000100 loss: 0.3246 (0.4540) labels_encoder: 0.3246 (0.4540) labels_encoder_unscaled: 0.3246 (0.4540) time: 0.0387 data: 0.0002 max mem: 515
Epoch: [1] [ 900/1415] eta: 0:00:21 lr: 0.000100 loss: 0.2618 (0.4453) labels_encoder: 0.2618 (0.4453) labels_encoder_unscaled: 0.2618 (0.4453) time: 0.0370 data: 0.0001 max mem: 515
Epoch: [1] [ 950/1415] eta: 0:00:18 lr: 0.000100 loss: 0.2845 (0.4372) labels_encoder: 0.2845 (0.4372) labels_encoder_unscaled: 0.2845 (0.4372) time: 0.0366 data: 0.0002 max mem: 515
Epoch: [1] [1000/1415] eta: 0:00:16 lr: 0.000100 loss: 0.2752 (0.4302) labels_encoder: 0.2752 (0.4302) labels_encoder_unscaled: 0.2752 (0.4302) time: 0.0389 data: 0.0001 max mem: 515
Epoch: [1] [1050/1415] eta: 0:00:14 lr: 0.000100 loss: 0.2982 (0.4235) labels_encoder: 0.2982 (0.4235) labels_encoder_unscaled: 0.2982 (0.4235) time: 0.0371 data: 0.0056 max mem: 515
Epoch: [1] [1100/1415] eta: 0:00:12 lr: 0.000100 loss: 0.2839 (0.4171) labels_encoder: 0.2839 (0.4171) labels_encoder_unscaled: 0.2839 (0.4171) time: 0.0374 data: 0.0012 max mem: 515
Epoch: [1] [1150/1415] eta: 0:00:10 lr: 0.000100 loss: 0.2933 (0.4116) labels_encoder: 0.2933 (0.4116) labels_encoder_unscaled: 0.2933 (0.4116) time: 0.0380 data: 0.0002 max mem: 515
Epoch: [1] [1200/1415] eta: 0:00:08 lr: 0.000100 loss: 0.2761 (0.4063) labels_encoder: 0.2761 (0.4063) labels_encoder_unscaled: 0.2761 (0.4063) time: 0.0442 data: 0.0061 max mem: 515
Epoch: [1] [1250/1415] eta: 0:00:06 lr: 0.000100 loss: 0.2933 (0.4011) labels_encoder: 0.2933 (0.4011) labels_encoder_unscaled: 0.2933 (0.4011) time: 0.0399 data: 0.0039 max mem: 515
Epoch: [1] [1300/1415] eta: 0:00:04 lr: 0.000100 loss: 0.2659 (0.3960) labels_encoder: 0.2659 (0.3960) labels_encoder_unscaled: 0.2659 (0.3960) time: 0.0371 data: 0.0002 max mem: 515
Epoch: [1] [1350/1415] eta: 0:00:02 lr: 0.000100 loss: 0.2976 (0.3915) labels_encoder: 0.2976 (0.3915) labels_encoder_unscaled: 0.2976 (0.3915) time: 0.0379 data: 0.0002 max mem: 515
Epoch: [1] [1400/1415] eta: 0:00:00 lr: 0.000100 loss: 0.2575 (0.3869) labels_encoder: 0.2575 (0.3869) labels_encoder_unscaled: 0.2575 (0.3869) time: 0.0377 data: 0.0019 max mem: 515
Epoch: [1] [1414/1415] eta: 0:00:00 lr: 0.000100 loss: 0.2929 (0.3860) labels_encoder: 0.2929 (0.3860) labels_encoder_unscaled: 0.2929 (0.3860) time: 0.0363 data: 0.0010 max mem: 515
Epoch: [1] Total time: 0:00:56 (0.0403 s / it)
Averaged stats: lr: 0.000100 loss: 0.2929 (0.3860) labels_encoder: 0.2929 (0.3860) labels_encoder_unscaled: 0.2929 (0.3860)
Test: [ 0/1613] eta: 0:44:30 loss: 1.2067 (1.2067) labels_encoder: 1.2067 (1.2067) labels_encoder_unscaled: 1.2067 (1.2067) time: 1.6556 data: 1.6160 max mem: 515
Test: [ 50/1613] eta: 0:01:40 loss: 0.3641 (0.7057) labels_encoder: 0.3641 (0.7057) labels_encoder_unscaled: 0.3641 (0.7057) time: 0.0360 data: 0.0197 max mem: 515
Test: [ 100/1613] eta: 0:01:18 loss: 0.1533 (0.5304) labels_encoder: 0.1533 (0.5304) labels_encoder_unscaled: 0.1533 (0.5304) time: 0.0398 data: 0.0228 max mem: 515
Test: [ 150/1613] eta: 0:01:09 loss: 0.5740 (0.5283) labels_encoder: 0.5740 (0.5283) labels_encoder_unscaled: 0.5740 (0.5283) time: 0.0387 data: 0.0225 max mem: 515
Test: [ 200/1613] eta: 0:01:03 loss: 0.8020 (0.6147) labels_encoder: 0.8020 (0.6147) labels_encoder_unscaled: 0.8020 (0.6147) time: 0.0384 data: 0.0183 max mem: 515
Test: [ 250/1613] eta: 0:00:59 loss: 0.3219 (0.6185) labels_encoder: 0.3219 (0.6185) labels_encoder_unscaled: 0.3219 (0.6185) time: 0.0378 data: 0.0219 max mem: 515
Test: [ 300/1613] eta: 0:00:56 loss: 0.3397 (0.6362) labels_encoder: 0.3397 (0.6362) labels_encoder_unscaled: 0.3397 (0.6362) time: 0.0380 data: 0.0232 max mem: 515
Test: [ 350/1613] eta: 0:00:53 loss: 0.6694 (0.6286) labels_encoder: 0.6694 (0.6286) labels_encoder_unscaled: 0.6694 (0.6286) time: 0.0383 data: 0.0242 max mem: 515
Test: [ 400/1613] eta: 0:00:50 loss: 0.4723 (0.6746) labels_encoder: 0.4723 (0.6746) labels_encoder_unscaled: 0.4723 (0.6746) time: 0.0371 data: 0.0230 max mem: 515
Test: [ 450/1613] eta: 0:00:47 loss: 0.6215 (0.7250) labels_encoder: 0.6215 (0.7250) labels_encoder_unscaled: 0.6215 (0.7250) time: 0.0369 data: 0.0214 max mem: 515
Test: [ 500/1613] eta: 0:00:45 loss: 0.2532 (0.7000) labels_encoder: 0.2532 (0.7000) labels_encoder_unscaled: 0.2532 (0.7000) time: 0.0320 data: 0.0125 max mem: 515
Test: [ 550/1613] eta: 0:00:43 loss: 0.5741 (0.7226) labels_encoder: 0.5741 (0.7226) labels_encoder_unscaled: 0.5741 (0.7226) time: 0.0368 data: 0.0211 max mem: 515
Test: [ 600/1613] eta: 0:00:41 loss: 0.6690 (0.7291) labels_encoder: 0.6690 (0.7291) labels_encoder_unscaled: 0.6690 (0.7291) time: 0.0370 data: 0.0226 max mem: 515
Test: [ 650/1613] eta: 0:00:39 loss: 0.4723 (0.7118) labels_encoder: 0.4723 (0.7118) labels_encoder_unscaled: 0.4723 (0.7118) time: 0.0388 data: 0.0238 max mem: 515
Test: [ 700/1613] eta: 0:00:36 loss: 0.3750 (0.6962) labels_encoder: 0.3750 (0.6962) labels_encoder_unscaled: 0.3750 (0.6962) time: 0.0363 data: 0.0215 max mem: 515
Test: [ 750/1613] eta: 0:00:34 loss: 0.2788 (0.6784) labels_encoder: 0.2788 (0.6784) labels_encoder_unscaled: 0.2788 (0.6784) time: 0.0413 data: 0.0274 max mem: 515
Test: [ 800/1613] eta: 0:00:32 loss: 0.4474 (0.6861) labels_encoder: 0.4474 (0.6861) labels_encoder_unscaled: 0.4474 (0.6861) time: 0.0372 data: 0.0208 max mem: 515
Test: [ 850/1613] eta: 0:00:30 loss: 0.8305 (0.6870) labels_encoder: 0.8305 (0.6870) labels_encoder_unscaled: 0.8305 (0.6870) time: 0.0371 data: 0.0203 max mem: 515
Test: [ 900/1613] eta: 0:00:28 loss: 0.4917 (0.7004) labels_encoder: 0.4917 (0.7004) labels_encoder_unscaled: 0.4917 (0.7004) time: 0.0401 data: 0.0238 max mem: 515
Test: [ 950/1613] eta: 0:00:26 loss: 0.4164 (0.6890) labels_encoder: 0.4164 (0.6890) labels_encoder_unscaled: 0.4164 (0.6890) time: 0.0385 data: 0.0221 max mem: 515
Test: [1000/1613] eta: 0:00:24 loss: 0.4785 (0.6770) labels_encoder: 0.4785 (0.6770) labels_encoder_unscaled: 0.4785 (0.6770) time: 0.0393 data: 0.0232 max mem: 515
Test: [1050/1613] eta: 0:00:22 loss: 0.5883 (0.6712) labels_encoder: 0.5883 (0.6712) labels_encoder_unscaled: 0.5883 (0.6712) time: 0.0385 data: 0.0231 max mem: 515
Test: [1100/1613] eta: 0:00:20 loss: 0.5344 (0.6759) labels_encoder: 0.5344 (0.6759) labels_encoder_unscaled: 0.5344 (0.6759) time: 0.0396 data: 0.0253 max mem: 515
Test: [1150/1613] eta: 0:00:18 loss: 0.4409 (0.6679) labels_encoder: 0.4409 (0.6679) labels_encoder_unscaled: 0.4409 (0.6679) time: 0.0386 data: 0.0233 max mem: 515
Test: [1200/1613] eta: 0:00:16 loss: 0.5333 (0.6759) labels_encoder: 0.5333 (0.6759) labels_encoder_unscaled: 0.5333 (0.6759) time: 0.0419 data: 0.0258 max mem: 515
Test: [1250/1613] eta: 0:00:14 loss: 0.2680 (0.6772) labels_encoder: 0.2680 (0.6772) labels_encoder_unscaled: 0.2680 (0.6772) time: 0.0398 data: 0.0236 max mem: 515
Test: [1300/1613] eta: 0:00:12 loss: 0.3576 (0.6754) labels_encoder: 0.3576 (0.6754) labels_encoder_unscaled: 0.3576 (0.6754) time: 0.0394 data: 0.0228 max mem: 515
Test: [1350/1613] eta: 0:00:10 loss: 0.6799 (0.6867) labels_encoder: 0.6799 (0.6867) labels_encoder_unscaled: 0.6799 (0.6867) time: 0.0393 data: 0.0257 max mem: 515
Test: [1400/1613] eta: 0:00:08 loss: 0.5770 (0.6846) labels_encoder: 0.5770 (0.6846) labels_encoder_unscaled: 0.5770 (0.6846) time: 0.0396 data: 0.0252 max mem: 515
Test: [1450/1613] eta: 0:00:06 loss: 0.2479 (0.6894) labels_encoder: 0.2479 (0.6894) labels_encoder_unscaled: 0.2479 (0.6894) time: 0.0385 data: 0.0237 max mem: 515
Test: [1500/1613] eta: 0:00:04 loss: 0.4172 (0.6949) labels_encoder: 0.4172 (0.6949) labels_encoder_unscaled: 0.4172 (0.6949) time: 0.0396 data: 0.0256 max mem: 515
Test: [1550/1613] eta: 0:00:02 loss: 0.5853 (0.6930) labels_encoder: 0.5853 (0.6930) labels_encoder_unscaled: 0.5853 (0.6930) time: 0.0431 data: 0.0262 max mem: 515
Test: [1600/1613] eta: 0:00:00 loss: 0.5727 (0.6889) labels_encoder: 0.5727 (0.6889) labels_encoder_unscaled: 0.5727 (0.6889) time: 0.0369 data: 0.0194 max mem: 515
Test: [1612/1613] eta: 0:00:00 loss: 0.3252 (0.6873) labels_encoder: 0.3252 (0.6873) labels_encoder_unscaled: 0.3252 (0.6873) time: 0.0344 data: 0.0175 max mem: 515
Test: Total time: 0:01:04 (0.0397 s / it)
Averaged stats: loss: 0.3252 (0.6873) labels_encoder: 0.3252 (0.6873) labels_encoder_unscaled: 0.3252 (0.6873)
(21, 206375)
(21, 206375)
[Epoch-1] [IDU-anet] mAP: 0.5545, mcAP: 0.9756
BaseballPitch: 0.2651
BasketballDunk: 0.7334
Billiards: 0.3692
CleanAndJerk: 0.7973
CliffDiving: 0.8158
CricketBowling: 0.3527
CricketShot: 0.2019
Diving: 0.6694
FrisbeeCatch: 0.3305
GolfSwing: 0.5229
HammerThrow: 0.8281
HighJump: 0.5605
JavelinThrow: 0.6653
LongJump: 0.7879
PoleVault: 0.8721
Shotput: 0.6788
SoccerPenalty: 0.3499
TennisSwing: 0.3836
ThrowDiscus: 0.6444
VolleyballSpiking: 0.2608
Epoch: [2] [ 0/1415] eta: 0:38:56 lr: 0.000010 loss: 0.2282 (0.2282) labels_encoder: 0.2282 (0.2282) labels_encoder_unscaled: 0.2282 (0.2282) time: 1.6510 data: 1.6051 max mem: 515
Epoch: [2] [ 50/1415] eta: 0:01:39 lr: 0.000010 loss: 0.2100 (0.2258) labels_encoder: 0.2100 (0.2258) labels_encoder_unscaled: 0.2100 (0.2258) time: 0.0371 data: 0.0002 max mem: 515
Epoch: [2] [ 100/1415] eta: 0:01:15 lr: 0.000010 loss: 0.2052 (0.2203) labels_encoder: 0.2052 (0.2203) labels_encoder_unscaled: 0.2052 (0.2203) time: 0.0405 data: 0.0002 max mem: 515
Epoch: [2] [ 150/1415] eta: 0:01:04 lr: 0.000010 loss: 0.2198 (0.2185) labels_encoder: 0.2198 (0.2185) labels_encoder_unscaled: 0.2198 (0.2185) time: 0.0360 data: 0.0002 max mem: 515
Epoch: [2] [ 200/1415] eta: 0:00:58 lr: 0.000010 loss: 0.2182 (0.2186) labels_encoder: 0.2182 (0.2186) labels_encoder_unscaled: 0.2182 (0.2186) time: 0.0374 data: 0.0002 max mem: 515
Epoch: [2] [ 250/1415] eta: 0:00:53 lr: 0.000010 loss: 0.2249 (0.2192) labels_encoder: 0.2249 (0.2192) labels_encoder_unscaled: 0.2249 (0.2192) time: 0.0385 data: 0.0011 max mem: 515
Epoch: [2] [ 300/1415] eta: 0:00:49 lr: 0.000010 loss: 0.2269 (0.2185) labels_encoder: 0.2269 (0.2185) labels_encoder_unscaled: 0.2269 (0.2185) time: 0.0382 data: 0.0002 max mem: 515
Epoch: [2] [ 350/1415] eta: 0:00:46 lr: 0.000010 loss: 0.2014 (0.2191) labels_encoder: 0.2014 (0.2191) labels_encoder_unscaled: 0.2014 (0.2191) time: 0.0366 data: 0.0002 max mem: 515
Epoch: [2] [ 400/1415] eta: 0:00:43 lr: 0.000010 loss: 0.1894 (0.2182) labels_encoder: 0.1894 (0.2182) labels_encoder_unscaled: 0.1894 (0.2182) time: 0.0365 data: 0.0011 max mem: 515
Epoch: [2] [ 450/1415] eta: 0:00:41 lr: 0.000010 loss: 0.2294 (0.2180) labels_encoder: 0.2294 (0.2180) labels_encoder_unscaled: 0.2294 (0.2180) time: 0.0396 data: 0.0002 max mem: 515
Epoch: [2] [ 500/1415] eta: 0:00:39 lr: 0.000010 loss: 0.1959 (0.2166) labels_encoder: 0.1959 (0.2166) labels_encoder_unscaled: 0.1959 (0.2166) time: 0.0536 data: 0.0227 max mem: 515
Epoch: [2] [ 550/1415] eta: 0:00:36 lr: 0.000010 loss: 0.2101 (0.2161) labels_encoder: 0.2101 (0.2161) labels_encoder_unscaled: 0.2101 (0.2161) time: 0.0360 data: 0.0002 max mem: 515
Epoch: [2] [ 600/1415] eta: 0:00:34 lr: 0.000010 loss: 0.2100 (0.2153) labels_encoder: 0.2100 (0.2153) labels_encoder_unscaled: 0.2100 (0.2153) time: 0.0375 data: 0.0002 max mem: 515
Epoch: [2] [ 650/1415] eta: 0:00:31 lr: 0.000010 loss: 0.2069 (0.2146) labels_encoder: 0.2069 (0.2146) labels_encoder_unscaled: 0.2069 (0.2146) time: 0.0399 data: 0.0002 max mem: 515
Epoch: [2] [ 700/1415] eta: 0:00:29 lr: 0.000010 loss: 0.2213 (0.2140) labels_encoder: 0.2213 (0.2140) labels_encoder_unscaled: 0.2213 (0.2140) time: 0.0397 data: 0.0017 max mem: 515
Epoch: [2] [ 750/1415] eta: 0:00:27 lr: 0.000010 loss: 0.2047 (0.2147) labels_encoder: 0.2047 (0.2147) labels_encoder_unscaled: 0.2047 (0.2147) time: 0.0382 data: 0.0002 max mem: 515
Epoch: [2] [ 800/1415] eta: 0:00:25 lr: 0.000010 loss: 0.1980 (0.2138) labels_encoder: 0.1980 (0.2138) labels_encoder_unscaled: 0.1980 (0.2138) time: 0.0391 data: 0.0039 max mem: 515
Epoch: [2] [ 850/1415] eta: 0:00:23 lr: 0.000010 loss: 0.1935 (0.2132) labels_encoder: 0.1935 (0.2132) labels_encoder_unscaled: 0.1935 (0.2132) time: 0.0357 data: 0.0024 max mem: 515
Epoch: [2] [ 900/1415] eta: 0:00:21 lr: 0.000010 loss: 0.1928 (0.2130) labels_encoder: 0.1928 (0.2130) labels_encoder_unscaled: 0.1928 (0.2130) time: 0.0374 data: 0.0052 max mem: 515
Epoch: [2] [ 950/1415] eta: 0:00:18 lr: 0.000010 loss: 0.2029 (0.2124) labels_encoder: 0.2029 (0.2124) labels_encoder_unscaled: 0.2029 (0.2124) time: 0.0385 data: 0.0002 max mem: 515
Epoch: [2] [1000/1415] eta: 0:00:16 lr: 0.000010 loss: 0.1845 (0.2118) labels_encoder: 0.1845 (0.2118) labels_encoder_unscaled: 0.1845 (0.2118) time: 0.0371 data: 0.0002 max mem: 515
Epoch: [2] [1050/1415] eta: 0:00:14 lr: 0.000010 loss: 0.2086 (0.2112) labels_encoder: 0.2086 (0.2112) labels_encoder_unscaled: 0.2086 (0.2112) time: 0.0366 data: 0.0002 max mem: 515
Epoch: [2] [1100/1415] eta: 0:00:12 lr: 0.000010 loss: 0.1699 (0.2105) labels_encoder: 0.1699 (0.2105) labels_encoder_unscaled: 0.1699 (0.2105) time: 0.0375 data: 0.0001 max mem: 515
Epoch: [2] [1150/1415] eta: 0:00:10 lr: 0.000010 loss: 0.1971 (0.2104) labels_encoder: 0.1971 (0.2104) labels_encoder_unscaled: 0.1971 (0.2104) time: 0.0378 data: 0.0002 max mem: 515
Epoch: [2] [1200/1415] eta: 0:00:08 lr: 0.000010 loss: 0.1814 (0.2099) labels_encoder: 0.1814 (0.2099) labels_encoder_unscaled: 0.1814 (0.2099) time: 0.0387 data: 0.0002 max mem: 515
Epoch: [2] [1250/1415] eta: 0:00:06 lr: 0.000010 loss: 0.1940 (0.2093) labels_encoder: 0.1940 (0.2093) labels_encoder_unscaled: 0.1940 (0.2093) time: 0.0395 data: 0.0089 max mem: 515
Epoch: [2] [1300/1415] eta: 0:00:04 lr: 0.000010 loss: 0.2020 (0.2089) labels_encoder: 0.2020 (0.2089) labels_encoder_unscaled: 0.2020 (0.2089) time: 0.0374 data: 0.0036 max mem: 515
Epoch: [2] [1350/1415] eta: 0:00:02 lr: 0.000010 loss: 0.1844 (0.2084) labels_encoder: 0.1844 (0.2084) labels_encoder_unscaled: 0.1844 (0.2084) time: 0.0376 data: 0.0010 max mem: 515
Epoch: [2] [1400/1415] eta: 0:00:00 lr: 0.000010 loss: 0.1913 (0.2079) labels_encoder: 0.1913 (0.2079) labels_encoder_unscaled: 0.1913 (0.2079) time: 0.0410 data: 0.0004 max mem: 515
Epoch: [2] [1414/1415] eta: 0:00:00 lr: 0.000010 loss: 0.1887 (0.2077) labels_encoder: 0.1887 (0.2077) labels_encoder_unscaled: 0.1887 (0.2077) time: 0.0367 data: 0.0003 max mem: 515
Epoch: [2] Total time: 0:00:56 (0.0402 s / it)
Averaged stats: lr: 0.000010 loss: 0.1887 (0.2077) labels_encoder: 0.1887 (0.2077) labels_encoder_unscaled: 0.1887 (0.2077)
Test: [ 0/1613] eta: 0:45:14 loss: 0.3552 (0.3552) labels_encoder: 0.3552 (0.3552) labels_encoder_unscaled: 0.3552 (0.3552) time: 1.6831 data: 1.6670 max mem: 515
Test: [ 50/1613] eta: 0:01:51 loss: 0.3691 (0.6653) labels_encoder: 0.3691 (0.6653) labels_encoder_unscaled: 0.3691 (0.6653) time: 0.0340 data: 0.0150 max mem: 515
Test: [ 100/1613] eta: 0:01:22 loss: 0.0862 (0.4866) labels_encoder: 0.0862 (0.4866) labels_encoder_unscaled: 0.0862 (0.4866) time: 0.0385 data: 0.0205 max mem: 515
Test: [ 150/1613] eta: 0:01:13 loss: 0.4124 (0.4556) labels_encoder: 0.4124 (0.4556) labels_encoder_unscaled: 0.4124 (0.4556) time: 0.0442 data: 0.0284 max mem: 515
Test: [ 200/1613] eta: 0:01:07 loss: 0.6459 (0.5150) labels_encoder: 0.6459 (0.5150) labels_encoder_unscaled: 0.6459 (0.5150) time: 0.0374 data: 0.0226 max mem: 515
Test: [ 250/1613] eta: 0:01:02 loss: 0.2701 (0.5467) labels_encoder: 0.2701 (0.5467) labels_encoder_unscaled: 0.2701 (0.5467) time: 0.0371 data: 0.0224 max mem: 515
Test: [ 300/1613] eta: 0:00:58 loss: 0.2825 (0.5936) labels_encoder: 0.2825 (0.5936) labels_encoder_unscaled: 0.2825 (0.5936) time: 0.0409 data: 0.0266 max mem: 515
Test: [ 350/1613] eta: 0:00:55 loss: 0.9420 (0.5978) labels_encoder: 0.9420 (0.5978) labels_encoder_unscaled: 0.9420 (0.5978) time: 0.0382 data: 0.0233 max mem: 515
Test: [ 400/1613] eta: 0:00:53 loss: 0.4244 (0.6645) labels_encoder: 0.4244 (0.6645) labels_encoder_unscaled: 0.4244 (0.6645) time: 0.0417 data: 0.0251 max mem: 515
Test: [ 450/1613] eta: 0:00:50 loss: 0.5259 (0.7068) labels_encoder: 0.5259 (0.7068) labels_encoder_unscaled: 0.5259 (0.7068) time: 0.0383 data: 0.0213 max mem: 515
Test: [ 500/1613] eta: 0:00:47 loss: 0.1943 (0.6781) labels_encoder: 0.1943 (0.6781) labels_encoder_unscaled: 0.1943 (0.6781) time: 0.0298 data: 0.0141 max mem: 515
Test: [ 550/1613] eta: 0:00:45 loss: 0.4695 (0.6832) labels_encoder: 0.4695 (0.6832) labels_encoder_unscaled: 0.4695 (0.6832) time: 0.0398 data: 0.0238 max mem: 515
Test: [ 600/1613] eta: 0:00:42 loss: 0.6245 (0.7079) labels_encoder: 0.6245 (0.7079) labels_encoder_unscaled: 0.6245 (0.7079) time: 0.0379 data: 0.0206 max mem: 515
Test: [ 650/1613] eta: 0:00:40 loss: 0.5547 (0.6936) labels_encoder: 0.5547 (0.6936) labels_encoder_unscaled: 0.5547 (0.6936) time: 0.0379 data: 0.0217 max mem: 515
Test: [ 700/1613] eta: 0:00:37 loss: 0.3128 (0.6816) labels_encoder: 0.3128 (0.6816) labels_encoder_unscaled: 0.3128 (0.6816) time: 0.0372 data: 0.0210 max mem: 515
Test: [ 750/1613] eta: 0:00:35 loss: 0.3593 (0.6666) labels_encoder: 0.3593 (0.6666) labels_encoder_unscaled: 0.3593 (0.6666) time: 0.0400 data: 0.0246 max mem: 515
Test: [ 800/1613] eta: 0:00:33 loss: 0.4925 (0.6632) labels_encoder: 0.4925 (0.6632) labels_encoder_unscaled: 0.4925 (0.6632) time: 0.0402 data: 0.0237 max mem: 515
Test: [ 850/1613] eta: 0:00:31 loss: 1.0195 (0.6671) labels_encoder: 1.0195 (0.6671) labels_encoder_unscaled: 1.0195 (0.6671) time: 0.0373 data: 0.0219 max mem: 515
Test: [ 900/1613] eta: 0:00:29 loss: 0.4492 (0.6786) labels_encoder: 0.4492 (0.6786) labels_encoder_unscaled: 0.4492 (0.6786) time: 0.0375 data: 0.0227 max mem: 515
Test: [ 950/1613] eta: 0:00:26 loss: 0.6189 (0.6766) labels_encoder: 0.6189 (0.6766) labels_encoder_unscaled: 0.6189 (0.6766) time: 0.0383 data: 0.0242 max mem: 515
Test: [1000/1613] eta: 0:00:24 loss: 0.3464 (0.6702) labels_encoder: 0.3464 (0.6702) labels_encoder_unscaled: 0.3464 (0.6702) time: 0.0387 data: 0.0223 max mem: 515
Test: [1050/1613] eta: 0:00:22 loss: 0.4830 (0.6654) labels_encoder: 0.4830 (0.6654) labels_encoder_unscaled: 0.4830 (0.6654) time: 0.0380 data: 0.0226 max mem: 515
Test: [1100/1613] eta: 0:00:20 loss: 0.6113 (0.6662) labels_encoder: 0.6113 (0.6662) labels_encoder_unscaled: 0.6113 (0.6662) time: 0.0382 data: 0.0243 max mem: 515
Test: [1150/1613] eta: 0:00:18 loss: 0.3794 (0.6592) labels_encoder: 0.3794 (0.6592) labels_encoder_unscaled: 0.3794 (0.6592) time: 0.0384 data: 0.0221 max mem: 515
Test: [1200/1613] eta: 0:00:16 loss: 0.3222 (0.6615) labels_encoder: 0.3222 (0.6615) labels_encoder_unscaled: 0.3222 (0.6615) time: 0.0390 data: 0.0242 max mem: 515
Test: [1250/1613] eta: 0:00:14 loss: 0.3877 (0.6649) labels_encoder: 0.3877 (0.6649) labels_encoder_unscaled: 0.3877 (0.6649) time: 0.0381 data: 0.0223 max mem: 515
Test: [1300/1613] eta: 0:00:12 loss: 0.3133 (0.6665) labels_encoder: 0.3133 (0.6665) labels_encoder_unscaled: 0.3133 (0.6665) time: 0.0381 data: 0.0215 max mem: 515
Test: [1350/1613] eta: 0:00:10 loss: 0.5467 (0.6743) labels_encoder: 0.5467 (0.6743) labels_encoder_unscaled: 0.5467 (0.6743) time: 0.0385 data: 0.0247 max mem: 515
Test: [1400/1613] eta: 0:00:08 loss: 0.6290 (0.6744) labels_encoder: 0.6290 (0.6744) labels_encoder_unscaled: 0.6290 (0.6744) time: 0.0389 data: 0.0224 max mem: 515
Test: [1450/1613] eta: 0:00:06 loss: 0.2669 (0.6875) labels_encoder: 0.2669 (0.6875) labels_encoder_unscaled: 0.2669 (0.6875) time: 0.0425 data: 0.0268 max mem: 515
Test: [1500/1613] eta: 0:00:04 loss: 0.4348 (0.6948) labels_encoder: 0.4348 (0.6948) labels_encoder_unscaled: 0.4348 (0.6948) time: 0.0403 data: 0.0257 max mem: 515
Test: [1550/1613] eta: 0:00:02 loss: 0.4865 (0.6935) labels_encoder: 0.4865 (0.6935) labels_encoder_unscaled: 0.4865 (0.6935) time: 0.0387 data: 0.0233 max mem: 515
Test: [1600/1613] eta: 0:00:00 loss: 0.5840 (0.6893) labels_encoder: 0.5840 (0.6893) labels_encoder_unscaled: 0.5840 (0.6893) time: 0.0389 data: 0.0243 max mem: 515
Test: [1612/1613] eta: 0:00:00 loss: 0.5160 (0.6888) labels_encoder: 0.5160 (0.6888) labels_encoder_unscaled: 0.5160 (0.6888) time: 0.0360 data: 0.0229 max mem: 515
Test: Total time: 0:01:04 (0.0402 s / it)
Averaged stats: loss: 0.5160 (0.6888) labels_encoder: 0.5160 (0.6888) labels_encoder_unscaled: 0.5160 (0.6888)
(21, 206375)
(21, 206375)
[Epoch-2] [IDU-anet] mAP: 0.5546, mcAP: 0.9755
BaseballPitch: 0.2611
BasketballDunk: 0.7511
Billiards: 0.3939
CleanAndJerk: 0.7598
CliffDiving: 0.8243
CricketBowling: 0.3508
CricketShot: 0.1912
Diving: 0.6989
FrisbeeCatch: 0.3220
GolfSwing: 0.4865
HammerThrow: 0.8226
HighJump: 0.5500
JavelinThrow: 0.6936
LongJump: 0.7974
PoleVault: 0.8572
Shotput: 0.6551
SoccerPenalty: 0.3534
TennisSwing: 0.4633
ThrowDiscus: 0.5948
VolleyballSpiking: 0.2647
Epoch: [3] [ 0/1415] eta: 0:35:39 lr: 0.000001 loss: 0.2388 (0.2388) labels_encoder: 0.2388 (0.2388) labels_encoder_unscaled: 0.2388 (0.2388) time: 1.5117 data: 1.4816 max mem: 515
Epoch: [3] [ 50/1415] eta: 0:01:43 lr: 0.000001 loss: 0.1964 (0.1871) labels_encoder: 0.1964 (0.1871) labels_encoder_unscaled: 0.1964 (0.1871) time: 0.0399 data: 0.0002 max mem: 515
Epoch: [3] [ 100/1415] eta: 0:01:17 lr: 0.000001 loss: 0.1794 (0.1863) labels_encoder: 0.1794 (0.1863) labels_encoder_unscaled: 0.1794 (0.1863) time: 0.0391 data: 0.0002 max mem: 515
Epoch: [3] [ 150/1415] eta: 0:01:05 lr: 0.000001 loss: 0.1882 (0.1883) labels_encoder: 0.1882 (0.1883) labels_encoder_unscaled: 0.1882 (0.1883) time: 0.0373 data: 0.0002 max mem: 515
Epoch: [3] [ 200/1415] eta: 0:00:58 lr: 0.000001 loss: 0.1926 (0.1881) labels_encoder: 0.1926 (0.1881) labels_encoder_unscaled: 0.1926 (0.1881) time: 0.0373 data: 0.0002 max mem: 515
Epoch: [3] [ 250/1415] eta: 0:00:53 lr: 0.000001 loss: 0.2109 (0.1881) labels_encoder: 0.2109 (0.1881) labels_encoder_unscaled: 0.2109 (0.1881) time: 0.0399 data: 0.0002 max mem: 515
Epoch: [3] [ 300/1415] eta: 0:00:50 lr: 0.000001 loss: 0.1932 (0.1887) labels_encoder: 0.1932 (0.1887) labels_encoder_unscaled: 0.1932 (0.1887) time: 0.0451 data: 0.0113 max mem: 515
Epoch: [3] [ 350/1415] eta: 0:00:47 lr: 0.000001 loss: 0.1747 (0.1886) labels_encoder: 0.1747 (0.1886) labels_encoder_unscaled: 0.1747 (0.1886) time: 0.0394 data: 0.0015 max mem: 515
Epoch: [3] [ 400/1415] eta: 0:00:44 lr: 0.000001 loss: 0.1756 (0.1895) labels_encoder: 0.1756 (0.1895) labels_encoder_unscaled: 0.1756 (0.1895) time: 0.0457 data: 0.0098 max mem: 515
Epoch: [3] [ 450/1415] eta: 0:00:41 lr: 0.000001 loss: 0.1937 (0.1889) labels_encoder: 0.1937 (0.1889) labels_encoder_unscaled: 0.1937 (0.1889) time: 0.0397 data: 0.0002 max mem: 515
Epoch: [3] [ 500/1415] eta: 0:00:39 lr: 0.000001 loss: 0.1684 (0.1887) labels_encoder: 0.1684 (0.1887) labels_encoder_unscaled: 0.1684 (0.1887) time: 0.0388 data: 0.0002 max mem: 515
Epoch: [3] [ 550/1415] eta: 0:00:36 lr: 0.000001 loss: 0.1664 (0.1882) labels_encoder: 0.1664 (0.1882) labels_encoder_unscaled: 0.1664 (0.1882) time: 0.0367 data: 0.0031 max mem: 515
Epoch: [3] [ 600/1415] eta: 0:00:34 lr: 0.000001 loss: 0.1891 (0.1876) labels_encoder: 0.1891 (0.1876) labels_encoder_unscaled: 0.1891 (0.1876) time: 0.0388 data: 0.0041 max mem: 515
Epoch: [3] [ 650/1415] eta: 0:00:32 lr: 0.000001 loss: 0.2116 (0.1884) labels_encoder: 0.2116 (0.1884) labels_encoder_unscaled: 0.2116 (0.1884) time: 0.0442 data: 0.0124 max mem: 515
Epoch: [3] [ 700/1415] eta: 0:00:30 lr: 0.000001 loss: 0.1852 (0.1887) labels_encoder: 0.1852 (0.1887) labels_encoder_unscaled: 0.1852 (0.1887) time: 0.0414 data: 0.0141 max mem: 515
Epoch: [3] [ 750/1415] eta: 0:00:27 lr: 0.000001 loss: 0.1979 (0.1893) labels_encoder: 0.1979 (0.1893) labels_encoder_unscaled: 0.1979 (0.1893) time: 0.0362 data: 0.0060 max mem: 515
Epoch: [3] [ 800/1415] eta: 0:00:25 lr: 0.000001 loss: 0.1830 (0.1892) labels_encoder: 0.1830 (0.1892) labels_encoder_unscaled: 0.1830 (0.1892) time: 0.0386 data: 0.0023 max mem: 515
Epoch: [3] [ 850/1415] eta: 0:00:23 lr: 0.000001 loss: 0.1976 (0.1894) labels_encoder: 0.1976 (0.1894) labels_encoder_unscaled: 0.1976 (0.1894) time: 0.0412 data: 0.0091 max mem: 515
Epoch: [3] [ 900/1415] eta: 0:00:21 lr: 0.000001 loss: 0.1818 (0.1897) labels_encoder: 0.1818 (0.1897) labels_encoder_unscaled: 0.1818 (0.1897) time: 0.0412 data: 0.0062 max mem: 515
Epoch: [3] [ 950/1415] eta: 0:00:19 lr: 0.000001 loss: 0.1953 (0.1899) labels_encoder: 0.1953 (0.1899) labels_encoder_unscaled: 0.1953 (0.1899) time: 0.0386 data: 0.0002 max mem: 515
Epoch: [3] [1000/1415] eta: 0:00:17 lr: 0.000001 loss: 0.2092 (0.1900) labels_encoder: 0.2092 (0.1900) labels_encoder_unscaled: 0.2092 (0.1900) time: 0.0411 data: 0.0018 max mem: 515
Epoch: [3] [1050/1415] eta: 0:00:15 lr: 0.000001 loss: 0.1745 (0.1901) labels_encoder: 0.1745 (0.1901) labels_encoder_unscaled: 0.1745 (0.1901) time: 0.0482 data: 0.0164 max mem: 515
Epoch: [3] [1100/1415] eta: 0:00:13 lr: 0.000001 loss: 0.1860 (0.1899) labels_encoder: 0.1860 (0.1899) labels_encoder_unscaled: 0.1860 (0.1899) time: 0.0399 data: 0.0113 max mem: 515
Epoch: [3] [1150/1415] eta: 0:00:11 lr: 0.000001 loss: 0.1989 (0.1901) labels_encoder: 0.1989 (0.1901) labels_encoder_unscaled: 0.1989 (0.1901) time: 0.0399 data: 0.0078 max mem: 515
Epoch: [3] [1200/1415] eta: 0:00:08 lr: 0.000001 loss: 0.1807 (0.1900) labels_encoder: 0.1807 (0.1900) labels_encoder_unscaled: 0.1807 (0.1900) time: 0.0428 data: 0.0081 max mem: 515
Epoch: [3] [1250/1415] eta: 0:00:06 lr: 0.000001 loss: 0.1847 (0.1901) labels_encoder: 0.1847 (0.1901) labels_encoder_unscaled: 0.1847 (0.1901) time: 0.0390 data: 0.0047 max mem: 515
Epoch: [3] [1300/1415] eta: 0:00:04 lr: 0.000001 loss: 0.1774 (0.1901) labels_encoder: 0.1774 (0.1901) labels_encoder_unscaled: 0.1774 (0.1901) time: 0.0407 data: 0.0019 max mem: 515
Epoch: [3] [1350/1415] eta: 0:00:02 lr: 0.000001 loss: 0.1721 (0.1897) labels_encoder: 0.1721 (0.1897) labels_encoder_unscaled: 0.1721 (0.1897) time: 0.0384 data: 0.0055 max mem: 515
Epoch: [3] [1400/1415] eta: 0:00:00 lr: 0.000001 loss: 0.1738 (0.1893) labels_encoder: 0.1738 (0.1893) labels_encoder_unscaled: 0.1738 (0.1893) time: 0.0397 data: 0.0026 max mem: 515
Epoch: [3] [1414/1415] eta: 0:00:00 lr: 0.000001 loss: 0.1817 (0.1893) labels_encoder: 0.1817 (0.1893) labels_encoder_unscaled: 0.1817 (0.1893) time: 0.0387 data: 0.0061 max mem: 515
Epoch: [3] Total time: 0:00:58 (0.0416 s / it)
Averaged stats: lr: 0.000001 loss: 0.1817 (0.1893) labels_encoder: 0.1817 (0.1893) labels_encoder_unscaled: 0.1817 (0.1893)
Test: [ 0/1613] eta: 0:42:29 loss: 0.5285 (0.5285) labels_encoder: 0.5285 (0.5285) labels_encoder_unscaled: 0.5285 (0.5285) time: 1.5803 data: 1.5631 max mem: 515
Test: [ 50/1613] eta: 0:01:46 loss: 0.3389 (0.6476) labels_encoder: 0.3389 (0.6476) labels_encoder_unscaled: 0.3389 (0.6476) time: 0.0361 data: 0.0194 max mem: 515
Test: [ 100/1613] eta: 0:01:19 loss: 0.1032 (0.4722) labels_encoder: 0.1032 (0.4722) labels_encoder_unscaled: 0.1032 (0.4722) time: 0.0364 data: 0.0172 max mem: 515
Test: [ 150/1613] eta: 0:01:11 loss: 0.3744 (0.4484) labels_encoder: 0.3744 (0.4484) labels_encoder_unscaled: 0.3744 (0.4484) time: 0.0401 data: 0.0240 max mem: 515
Test: [ 200/1613] eta: 0:01:04 loss: 0.6545 (0.5141) labels_encoder: 0.6545 (0.5141) labels_encoder_unscaled: 0.6545 (0.5141) time: 0.0386 data: 0.0232 max mem: 515
Test: [ 250/1613] eta: 0:01:00 loss: 0.2555 (0.5395) labels_encoder: 0.2555 (0.5395) labels_encoder_unscaled: 0.2555 (0.5395) time: 0.0363 data: 0.0218 max mem: 515
Test: [ 300/1613] eta: 0:00:56 loss: 0.2941 (0.5859) labels_encoder: 0.2941 (0.5859) labels_encoder_unscaled: 0.2941 (0.5859) time: 0.0363 data: 0.0194 max mem: 515
Test: [ 350/1613] eta: 0:00:53 loss: 0.7474 (0.5929) labels_encoder: 0.7474 (0.5929) labels_encoder_unscaled: 0.7474 (0.5929) time: 0.0391 data: 0.0247 max mem: 515
Test: [ 400/1613] eta: 0:00:51 loss: 0.3968 (0.6577) labels_encoder: 0.3968 (0.6577) labels_encoder_unscaled: 0.3968 (0.6577) time: 0.0371 data: 0.0242 max mem: 515
Test: [ 450/1613] eta: 0:00:48 loss: 0.5374 (0.6983) labels_encoder: 0.5374 (0.6983) labels_encoder_unscaled: 0.5374 (0.6983) time: 0.0369 data: 0.0227 max mem: 515
Test: [ 500/1613] eta: 0:00:46 loss: 0.2449 (0.6692) labels_encoder: 0.2449 (0.6692) labels_encoder_unscaled: 0.2449 (0.6692) time: 0.0366 data: 0.0215 max mem: 515
Test: [ 550/1613] eta: 0:00:43 loss: 0.6773 (0.6741) labels_encoder: 0.6773 (0.6741) labels_encoder_unscaled: 0.6773 (0.6741) time: 0.0379 data: 0.0205 max mem: 515
Test: [ 600/1613] eta: 0:00:41 loss: 0.7077 (0.6981) labels_encoder: 0.7077 (0.6981) labels_encoder_unscaled: 0.7077 (0.6981) time: 0.0383 data: 0.0221 max mem: 515
Test: [ 650/1613] eta: 0:00:39 loss: 0.5583 (0.6851) labels_encoder: 0.5583 (0.6851) labels_encoder_unscaled: 0.5583 (0.6851) time: 0.0362 data: 0.0218 max mem: 515
Test: [ 700/1613] eta: 0:00:36 loss: 0.3089 (0.6729) labels_encoder: 0.3089 (0.6729) labels_encoder_unscaled: 0.3089 (0.6729) time: 0.0371 data: 0.0222 max mem: 515
Test: [ 750/1613] eta: 0:00:34 loss: 0.3688 (0.6571) labels_encoder: 0.3688 (0.6571) labels_encoder_unscaled: 0.3688 (0.6571) time: 0.0377 data: 0.0237 max mem: 515
Test: [ 800/1613] eta: 0:00:32 loss: 0.4742 (0.6552) labels_encoder: 0.4742 (0.6552) labels_encoder_unscaled: 0.4742 (0.6552) time: 0.0394 data: 0.0246 max mem: 515
Test: [ 850/1613] eta: 0:00:30 loss: 1.0153 (0.6582) labels_encoder: 1.0153 (0.6582) labels_encoder_unscaled: 1.0153 (0.6582) time: 0.0364 data: 0.0228 max mem: 515
Test: [ 900/1613] eta: 0:00:28 loss: 0.4355 (0.6695) labels_encoder: 0.4355 (0.6695) labels_encoder_unscaled: 0.4355 (0.6695) time: 0.0382 data: 0.0241 max mem: 515
Test: [ 950/1613] eta: 0:00:26 loss: 0.4994 (0.6648) labels_encoder: 0.4994 (0.6648) labels_encoder_unscaled: 0.4994 (0.6648) time: 0.0373 data: 0.0232 max mem: 515
Test: [1000/1613] eta: 0:00:24 loss: 0.3401 (0.6569) labels_encoder: 0.3401 (0.6569) labels_encoder_unscaled: 0.3401 (0.6569) time: 0.0356 data: 0.0204 max mem: 515
Test: [1050/1613] eta: 0:00:22 loss: 0.5634 (0.6530) labels_encoder: 0.5634 (0.6530) labels_encoder_unscaled: 0.5634 (0.6530) time: 0.0391 data: 0.0236 max mem: 515
Test: [1100/1613] eta: 0:00:20 loss: 0.5178 (0.6534) labels_encoder: 0.5178 (0.6534) labels_encoder_unscaled: 0.5178 (0.6534) time: 0.0393 data: 0.0218 max mem: 515
Test: [1150/1613] eta: 0:00:18 loss: 0.4504 (0.6463) labels_encoder: 0.4504 (0.6463) labels_encoder_unscaled: 0.4504 (0.6463) time: 0.0407 data: 0.0227 max mem: 515
Test: [1200/1613] eta: 0:00:16 loss: 0.3342 (0.6481) labels_encoder: 0.3342 (0.6481) labels_encoder_unscaled: 0.3342 (0.6481) time: 0.0366 data: 0.0221 max mem: 515
Test: [1250/1613] eta: 0:00:14 loss: 0.2440 (0.6504) labels_encoder: 0.2440 (0.6504) labels_encoder_unscaled: 0.2440 (0.6504) time: 0.0415 data: 0.0253 max mem: 515
Test: [1300/1613] eta: 0:00:12 loss: 0.2464 (0.6506) labels_encoder: 0.2464 (0.6506) labels_encoder_unscaled: 0.2464 (0.6506) time: 0.0364 data: 0.0208 max mem: 515
Test: [1350/1613] eta: 0:00:10 loss: 0.5776 (0.6586) labels_encoder: 0.5776 (0.6586) labels_encoder_unscaled: 0.5776 (0.6586) time: 0.0376 data: 0.0204 max mem: 515
Test: [1400/1613] eta: 0:00:08 loss: 0.7083 (0.6580) labels_encoder: 0.7083 (0.6580) labels_encoder_unscaled: 0.7083 (0.6580) time: 0.0373 data: 0.0223 max mem: 515
Test: [1450/1613] eta: 0:00:06 loss: 0.2759 (0.6690) labels_encoder: 0.2759 (0.6690) labels_encoder_unscaled: 0.2759 (0.6690) time: 0.0388 data: 0.0246 max mem: 515
Test: [1500/1613] eta: 0:00:04 loss: 0.4336 (0.6766) labels_encoder: 0.4336 (0.6766) labels_encoder_unscaled: 0.4336 (0.6766) time: 0.0392 data: 0.0235 max mem: 515
Test: [1550/1613] eta: 0:00:02 loss: 0.4743 (0.6743) labels_encoder: 0.4743 (0.6743) labels_encoder_unscaled: 0.4743 (0.6743) time: 0.0403 data: 0.0267 max mem: 515
Test: [1600/1613] eta: 0:00:00 loss: 0.6498 (0.6705) labels_encoder: 0.6498 (0.6705) labels_encoder_unscaled: 0.6498 (0.6705) time: 0.0419 data: 0.0259 max mem: 515
Test: [1612/1613] eta: 0:00:00 loss: 0.5427 (0.6701) labels_encoder: 0.5427 (0.6701) labels_encoder_unscaled: 0.5427 (0.6701) time: 0.0380 data: 0.0235 max mem: 515
Test: Total time: 0:01:03 (0.0396 s / it)
Averaged stats: loss: 0.5427 (0.6701) labels_encoder: 0.5427 (0.6701) labels_encoder_unscaled: 0.5427 (0.6701)
(21, 206375)
(21, 206375)
[Epoch-3] [IDU-anet] mAP: 0.5569, mcAP: 0.9753
BaseballPitch: 0.2290
BasketballDunk: 0.7507
Billiards: 0.4004
CleanAndJerk: 0.7762
CliffDiving: 0.8251
CricketBowling: 0.3440
CricketShot: 0.2079
Diving: 0.6925
FrisbeeCatch: 0.3518
GolfSwing: 0.5333
HammerThrow: 0.8284
HighJump: 0.5396
JavelinThrow: 0.6856
LongJump: 0.7965
PoleVault: 0.8537
Shotput: 0.6495
SoccerPenalty: 0.3406
TennisSwing: 0.4680
ThrowDiscus: 0.6088
VolleyballSpiking: 0.2566
Epoch: [4] [ 0/1415] eta: 0:35:49 lr: 0.000000 loss: 0.1404 (0.1404) labels_encoder: 0.1404 (0.1404) labels_encoder_unscaled: 0.1404 (0.1404) time: 1.5190 data: 1.4892 max mem: 515
Epoch: [4] [ 50/1415] eta: 0:01:34 lr: 0.000000 loss: 0.1731 (0.1831) labels_encoder: 0.1731 (0.1831) labels_encoder_unscaled: 0.1731 (0.1831) time: 0.0377 data: 0.0002 max mem: 515
Epoch: [4] [ 100/1415] eta: 0:01:13 lr: 0.000000 loss: 0.1927 (0.1908) labels_encoder: 0.1927 (0.1908) labels_encoder_unscaled: 0.1927 (0.1908) time: 0.0392 data: 0.0003 max mem: 515
Epoch: [4] [ 150/1415] eta: 0:01:03 lr: 0.000000 loss: 0.1904 (0.1893) labels_encoder: 0.1904 (0.1893) labels_encoder_unscaled: 0.1904 (0.1893) time: 0.0385 data: 0.0033 max mem: 515
Epoch: [4] [ 200/1415] eta: 0:00:57 lr: 0.000000 loss: 0.1686 (0.1878) labels_encoder: 0.1686 (0.1878) labels_encoder_unscaled: 0.1686 (0.1878) time: 0.0435 data: 0.0089 max mem: 515
Epoch: [4] [ 250/1415] eta: 0:00:53 lr: 0.000000 loss: 0.1700 (0.1880) labels_encoder: 0.1700 (0.1880) labels_encoder_unscaled: 0.1700 (0.1880) time: 0.0383 data: 0.0002 max mem: 515
Epoch: [4] [ 300/1415] eta: 0:00:50 lr: 0.000000 loss: 0.1757 (0.1878) labels_encoder: 0.1757 (0.1878) labels_encoder_unscaled: 0.1757 (0.1878) time: 0.0490 data: 0.0160 max mem: 515
Epoch: [4] [ 350/1415] eta: 0:00:47 lr: 0.000000 loss: 0.1945 (0.1888) labels_encoder: 0.1945 (0.1888) labels_encoder_unscaled: 0.1945 (0.1888) time: 0.0372 data: 0.0002 max mem: 515
Epoch: [4] [ 400/1415] eta: 0:00:44 lr: 0.000000 loss: 0.1913 (0.1896) labels_encoder: 0.1913 (0.1896) labels_encoder_unscaled: 0.1913 (0.1896) time: 0.0362 data: 0.0002 max mem: 515
Epoch: [4] [ 450/1415] eta: 0:00:41 lr: 0.000000 loss: 0.1909 (0.1887) labels_encoder: 0.1909 (0.1887) labels_encoder_unscaled: 0.1909 (0.1887) time: 0.0384 data: 0.0001 max mem: 515
Epoch: [4] [ 500/1415] eta: 0:00:38 lr: 0.000000 loss: 0.2073 (0.1890) labels_encoder: 0.2073 (0.1890) labels_encoder_unscaled: 0.2073 (0.1890) time: 0.0385 data: 0.0002 max mem: 515
Epoch: [4] [ 550/1415] eta: 0:00:36 lr: 0.000000 loss: 0.1761 (0.1882) labels_encoder: 0.1761 (0.1882) labels_encoder_unscaled: 0.1761 (0.1882) time: 0.0376 data: 0.0014 max mem: 515
Epoch: [4] [ 600/1415] eta: 0:00:34 lr: 0.000000 loss: 0.1834 (0.1878) labels_encoder: 0.1834 (0.1878) labels_encoder_unscaled: 0.1834 (0.1878) time: 0.0387 data: 0.0002 max mem: 515
Epoch: [4] [ 650/1415] eta: 0:00:31 lr: 0.000000 loss: 0.1548 (0.1879) labels_encoder: 0.1548 (0.1879) labels_encoder_unscaled: 0.1548 (0.1879) time: 0.0382 data: 0.0030 max mem: 515
Epoch: [4] [ 700/1415] eta: 0:00:29 lr: 0.000000 loss: 0.1928 (0.1880) labels_encoder: 0.1928 (0.1880) labels_encoder_unscaled: 0.1928 (0.1880) time: 0.0404 data: 0.0009 max mem: 515
Epoch: [4] [ 750/1415] eta: 0:00:27 lr: 0.000000 loss: 0.1769 (0.1877) labels_encoder: 0.1769 (0.1877) labels_encoder_unscaled: 0.1769 (0.1877) time: 0.0362 data: 0.0002 max mem: 515
Epoch: [4] [ 800/1415] eta: 0:00:25 lr: 0.000000 loss: 0.1872 (0.1877) labels_encoder: 0.1872 (0.1877) labels_encoder_unscaled: 0.1872 (0.1877) time: 0.0379 data: 0.0002 max mem: 515
Epoch: [4] [ 850/1415] eta: 0:00:23 lr: 0.000000 loss: 0.1623 (0.1874) labels_encoder: 0.1623 (0.1874) labels_encoder_unscaled: 0.1623 (0.1874) time: 0.0392 data: 0.0002 max mem: 515
Epoch: [4] [ 900/1415] eta: 0:00:21 lr: 0.000000 loss: 0.1871 (0.1874) labels_encoder: 0.1871 (0.1874) labels_encoder_unscaled: 0.1871 (0.1874) time: 0.0370 data: 0.0010 max mem: 515
Epoch: [4] [ 950/1415] eta: 0:00:18 lr: 0.000000 loss: 0.1771 (0.1872) labels_encoder: 0.1771 (0.1872) labels_encoder_unscaled: 0.1771 (0.1872) time: 0.0371 data: 0.0002 max mem: 515
Epoch: [4] [1000/1415] eta: 0:00:16 lr: 0.000000 loss: 0.1760 (0.1871) labels_encoder: 0.1760 (0.1871) labels_encoder_unscaled: 0.1760 (0.1871) time: 0.0376 data: 0.0002 max mem: 515
Epoch: [4] [1050/1415] eta: 0:00:14 lr: 0.000000 loss: 0.1824 (0.1874) labels_encoder: 0.1824 (0.1874) labels_encoder_unscaled: 0.1824 (0.1874) time: 0.0380 data: 0.0051 max mem: 515
Epoch: [4] [1100/1415] eta: 0:00:12 lr: 0.000000 loss: 0.1718 (0.1876) labels_encoder: 0.1718 (0.1876) labels_encoder_unscaled: 0.1718 (0.1876) time: 0.0406 data: 0.0070 max mem: 515
Epoch: [4] [1150/1415] eta: 0:00:10 lr: 0.000000 loss: 0.1949 (0.1880) labels_encoder: 0.1949 (0.1880) labels_encoder_unscaled: 0.1949 (0.1880) time: 0.0427 data: 0.0060 max mem: 515
Epoch: [4] [1200/1415] eta: 0:00:08 lr: 0.000000 loss: 0.1734 (0.1875) labels_encoder: 0.1734 (0.1875) labels_encoder_unscaled: 0.1734 (0.1875) time: 0.0376 data: 0.0002 max mem: 515
Epoch: [4] [1250/1415] eta: 0:00:06 lr: 0.000000 loss: 0.1880 (0.1875) labels_encoder: 0.1880 (0.1875) labels_encoder_unscaled: 0.1880 (0.1875) time: 0.0381 data: 0.0002 max mem: 515
Epoch: [4] [1300/1415] eta: 0:00:04 lr: 0.000000 loss: 0.1658 (0.1877) labels_encoder: 0.1658 (0.1877) labels_encoder_unscaled: 0.1658 (0.1877) time: 0.0384 data: 0.0002 max mem: 515
Epoch: [4] [1350/1415] eta: 0:00:02 lr: 0.000000 loss: 0.1698 (0.1876) labels_encoder: 0.1698 (0.1876) labels_encoder_unscaled: 0.1698 (0.1876) time: 0.0399 data: 0.0002 max mem: 515
Epoch: [4] [1400/1415] eta: 0:00:00 lr: 0.000000 loss: 0.1755 (0.1877) labels_encoder: 0.1755 (0.1877) labels_encoder_unscaled: 0.1755 (0.1877) time: 0.0365 data: 0.0003 max mem: 515
Epoch: [4] [1414/1415] eta: 0:00:00 lr: 0.000000 loss: 0.1652 (0.1875) labels_encoder: 0.1652 (0.1875) labels_encoder_unscaled: 0.1652 (0.1875) time: 0.0347 data: 0.0003 max mem: 515
Epoch: [4] Total time: 0:00:56 (0.0403 s / it)
Averaged stats: lr: 0.000000 loss: 0.1652 (0.1875) labels_encoder: 0.1652 (0.1875) labels_encoder_unscaled: 0.1652 (0.1875)
Test: [ 0/1613] eta: 0:46:03 loss: 0.3307 (0.3307) labels_encoder: 0.3307 (0.3307) labels_encoder_unscaled: 0.3307 (0.3307) time: 1.7131 data: 1.6910 max mem: 515
Test: [ 50/1613] eta: 0:01:57 loss: 0.3441 (0.6552) labels_encoder: 0.3441 (0.6552) labels_encoder_unscaled: 0.3441 (0.6552) time: 0.0449 data: 0.0296 max mem: 515
Test: [ 100/1613] eta: 0:01:28 loss: 0.1178 (0.4802) labels_encoder: 0.1178 (0.4802) labels_encoder_unscaled: 0.1178 (0.4802) time: 0.0388 data: 0.0220 max mem: 515
Test: [ 150/1613] eta: 0:01:15 loss: 0.3752 (0.4593) labels_encoder: 0.3752 (0.4593) labels_encoder_unscaled: 0.3752 (0.4593) time: 0.0366 data: 0.0187 max mem: 515
Test: [ 200/1613] eta: 0:01:10 loss: 0.6962 (0.5231) labels_encoder: 0.6962 (0.5231) labels_encoder_unscaled: 0.6962 (0.5231) time: 0.0503 data: 0.0328 max mem: 515
Test: [ 250/1613] eta: 0:01:03 loss: 0.2507 (0.5454) labels_encoder: 0.2507 (0.5454) labels_encoder_unscaled: 0.2507 (0.5454) time: 0.0388 data: 0.0207 max mem: 515
Test: [ 300/1613] eta: 0:00:59 loss: 0.2785 (0.5891) labels_encoder: 0.2785 (0.5891) labels_encoder_unscaled: 0.2785 (0.5891) time: 0.0364 data: 0.0234 max mem: 515
Test: [ 350/1613] eta: 0:00:56 loss: 0.7521 (0.5939) labels_encoder: 0.7521 (0.5939) labels_encoder_unscaled: 0.7521 (0.5939) time: 0.0395 data: 0.0242 max mem: 515
Test: [ 400/1613] eta: 0:00:53 loss: 0.4446 (0.6617) labels_encoder: 0.4446 (0.6617) labels_encoder_unscaled: 0.4446 (0.6617) time: 0.0406 data: 0.0273 max mem: 515
Test: [ 450/1613] eta: 0:00:50 loss: 0.5524 (0.7057) labels_encoder: 0.5524 (0.7057) labels_encoder_unscaled: 0.5524 (0.7057) time: 0.0379 data: 0.0233 max mem: 515
Test: [ 500/1613] eta: 0:00:47 loss: 0.2302 (0.6777) labels_encoder: 0.2302 (0.6777) labels_encoder_unscaled: 0.2302 (0.6777) time: 0.0387 data: 0.0204 max mem: 515
Test: [ 550/1613] eta: 0:00:45 loss: 0.5575 (0.6816) labels_encoder: 0.5575 (0.6816) labels_encoder_unscaled: 0.5575 (0.6816) time: 0.0374 data: 0.0201 max mem: 515
Test: [ 600/1613] eta: 0:00:43 loss: 0.7072 (0.7059) labels_encoder: 0.7072 (0.7059) labels_encoder_unscaled: 0.7072 (0.7059) time: 0.0460 data: 0.0301 max mem: 515
Test: [ 650/1613] eta: 0:00:40 loss: 0.4835 (0.6922) labels_encoder: 0.4835 (0.6922) labels_encoder_unscaled: 0.4835 (0.6922) time: 0.0385 data: 0.0229 max mem: 515
Test: [ 700/1613] eta: 0:00:38 loss: 0.3508 (0.6787) labels_encoder: 0.3508 (0.6787) labels_encoder_unscaled: 0.3508 (0.6787) time: 0.0372 data: 0.0192 max mem: 515
Test: [ 750/1613] eta: 0:00:36 loss: 0.3408 (0.6623) labels_encoder: 0.3408 (0.6623) labels_encoder_unscaled: 0.3408 (0.6623) time: 0.0411 data: 0.0273 max mem: 515
Test: [ 800/1613] eta: 0:00:33 loss: 0.5252 (0.6584) labels_encoder: 0.5252 (0.6584) labels_encoder_unscaled: 0.5252 (0.6584) time: 0.0407 data: 0.0250 max mem: 515
Test: [ 850/1613] eta: 0:00:31 loss: 0.8895 (0.6628) labels_encoder: 0.8895 (0.6628) labels_encoder_unscaled: 0.8895 (0.6628) time: 0.0391 data: 0.0237 max mem: 515
Test: [ 900/1613] eta: 0:00:29 loss: 0.4611 (0.6730) labels_encoder: 0.4611 (0.6730) labels_encoder_unscaled: 0.4611 (0.6730) time: 0.0379 data: 0.0250 max mem: 515
Test: [ 950/1613] eta: 0:00:27 loss: 0.5818 (0.6676) labels_encoder: 0.5818 (0.6676) labels_encoder_unscaled: 0.5818 (0.6676) time: 0.0405 data: 0.0267 max mem: 515
Test: [1000/1613] eta: 0:00:25 loss: 0.3271 (0.6619) labels_encoder: 0.3271 (0.6619) labels_encoder_unscaled: 0.3271 (0.6619) time: 0.0424 data: 0.0270 max mem: 515
Test: [1050/1613] eta: 0:00:23 loss: 0.5143 (0.6570) labels_encoder: 0.5143 (0.6570) labels_encoder_unscaled: 0.5143 (0.6570) time: 0.0422 data: 0.0253 max mem: 515
Test: [1100/1613] eta: 0:00:21 loss: 0.5888 (0.6584) labels_encoder: 0.5888 (0.6584) labels_encoder_unscaled: 0.5888 (0.6584) time: 0.0384 data: 0.0228 max mem: 515
Test: [1150/1613] eta: 0:00:19 loss: 0.4218 (0.6510) labels_encoder: 0.4218 (0.6510) labels_encoder_unscaled: 0.4218 (0.6510) time: 0.0409 data: 0.0258 max mem: 515
Test: [1200/1613] eta: 0:00:17 loss: 0.3378 (0.6532) labels_encoder: 0.3378 (0.6532) labels_encoder_unscaled: 0.3378 (0.6532) time: 0.0407 data: 0.0252 max mem: 515
Test: [1250/1613] eta: 0:00:14 loss: 0.2864 (0.6557) labels_encoder: 0.2864 (0.6557) labels_encoder_unscaled: 0.2864 (0.6557) time: 0.0359 data: 0.0205 max mem: 515
Test: [1300/1613] eta: 0:00:12 loss: 0.2641 (0.6564) labels_encoder: 0.2641 (0.6564) labels_encoder_unscaled: 0.2641 (0.6564) time: 0.0379 data: 0.0232 max mem: 515
Test: [1350/1613] eta: 0:00:10 loss: 0.5334 (0.6654) labels_encoder: 0.5334 (0.6654) labels_encoder_unscaled: 0.5334 (0.6654) time: 0.0380 data: 0.0236 max mem: 515
Test: [1400/1613] eta: 0:00:08 loss: 0.6851 (0.6655) labels_encoder: 0.6851 (0.6655) labels_encoder_unscaled: 0.6851 (0.6655) time: 0.0460 data: 0.0304 max mem: 515
Test: [1450/1613] eta: 0:00:06 loss: 0.2547 (0.6777) labels_encoder: 0.2547 (0.6777) labels_encoder_unscaled: 0.2547 (0.6777) time: 0.0387 data: 0.0232 max mem: 515
Test: [1500/1613] eta: 0:00:04 loss: 0.3854 (0.6839) labels_encoder: 0.3854 (0.6839) labels_encoder_unscaled: 0.3854 (0.6839) time: 0.0385 data: 0.0254 max mem: 515
Test: [1550/1613] eta: 0:00:02 loss: 0.4262 (0.6815) labels_encoder: 0.4262 (0.6815) labels_encoder_unscaled: 0.4262 (0.6815) time: 0.0396 data: 0.0250 max mem: 515
Test: [1600/1613] eta: 0:00:00 loss: 0.7252 (0.6774) labels_encoder: 0.7252 (0.6774) labels_encoder_unscaled: 0.7252 (0.6774) time: 0.0391 data: 0.0239 max mem: 515
Test: [1612/1613] eta: 0:00:00 loss: 0.7417 (0.6768) labels_encoder: 0.7417 (0.6768) labels_encoder_unscaled: 0.7417 (0.6768) time: 0.0362 data: 0.0200 max mem: 515
Test: Total time: 0:01:06 (0.0410 s / it)
Averaged stats: loss: 0.7417 (0.6768) labels_encoder: 0.7417 (0.6768) labels_encoder_unscaled: 0.7417 (0.6768)
(21, 206375)
(21, 206375)
[Epoch-4] [IDU-anet] mAP: 0.5550, mcAP: 0.9756
BaseballPitch: 0.2687
BasketballDunk: 0.7424
Billiards: 0.4095
CleanAndJerk: 0.7710
CliffDiving: 0.8192
CricketBowling: 0.3387
CricketShot: 0.1988
Diving: 0.6983
FrisbeeCatch: 0.3373
GolfSwing: 0.5246
HammerThrow: 0.8237
HighJump: 0.5340
JavelinThrow: 0.6779
LongJump: 0.7993
PoleVault: 0.8518
Shotput: 0.6608
SoccerPenalty: 0.3148
TennisSwing: 0.4777
ThrowDiscus: 0.5775
VolleyballSpiking: 0.2735
Training time 0:08:19