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oadtr_b2_recycling_learned_127_seed5_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:2
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:5
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
Warning: variables __flops__ or __params__ are already defined for the moduleGELU ptflops can affect your code!
Sequential(
15.756 M, 99.117% Params, 0.411 GMac, 100.000% MACs,
(0): Linear(3.147 M, 19.795% Params, 0.003 GMac, 0.766% 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(
12.587 M, 79.181% Params, 0.408 GMac, 99.229% MACs,
(0): Sequential(
6.294 M, 39.590% Params, 0.205 GMac, 49.932% MACs,
(0): BroadcastReduce(
4.194 M, 26.385% Params, 0.071 GMac, 17.223% MACs, reduce=reduce_sum
(0): RetroactiveUnity(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 63)
(1): CoReMultiheadAttention(
4.194 M, 26.385% Params, 0.071 GMac, 17.223% 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(Sequential(
2.099 M, 13.205% Params, 0.134 GMac, 32.709% MACs,
(0): LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True)
(1): Residual(
2.099 M, 13.205% Params, 0.134 GMac, 32.709% MACs,
(fn): Sequential(
2.099 M, 13.205% Params, 0.134 GMac, 32.709% MACs,
(0): Linear(1.05 M, 6.603% Params, 0.067 GMac, 16.347% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(1): GELU(0.0 M, 0.000% Params, 0.0 GMac, 0.016% 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, 6.603% Params, 0.067 GMac, 16.347% 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)
)
)
(2): LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True)
))
)
(1): Lambda(Sequential(
6.294 M, 39.590% Params, 0.203 GMac, 49.296% MACs,
(0): BroadcastReduce(
4.194 M, 26.385% Params, 0.203 GMac, 49.280% 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, 26.385% Params, 0.203 GMac, 49.280% 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, 13.205% Params, 0.0 GMac, 0.017% MACs, reduce=reduce_sum
(0): Delay(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 0)
(1): Sequential(
2.099 M, 13.205% Params, 0.0 GMac, 0.017% MACs,
(0): Linear(1.05 M, 6.603% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(1): GELU(0.0 M, 0.000% Params, 0.0 GMac, 0.016% 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, 6.603% Params, 0.0 GMac, 0.000% 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))
), takes_time=True)
(2): Lambda(unity, squeeze_last, squeeze_last, takes_time=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, 0.142% Params, 0.0 GMac, 0.005% MACs, in_features=1024, out_features=22, bias=True, channel_dim=1)
)
Model FLOPs: 410939416.0
Model params: 15896598
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] [ 0/1412] eta: 1:08:21 lr: 0.000100 loss: 3.7795 (3.7795) labels_encoder: 3.7795 (3.7795) labels_encoder_unscaled: 3.7795 (3.7795) time: 2.9044 data: 2.1893 max mem: 945
Epoch: [1] [ 50/1412] eta: 0:04:30 lr: 0.000100 loss: 0.6379 (0.9454) labels_encoder: 0.6379 (0.9454) labels_encoder_unscaled: 0.6379 (0.9454) time: 0.1364 data: 0.0002 max mem: 1127
Epoch: [1] [ 100/1412] eta: 0:03:44 lr: 0.000100 loss: 0.5206 (0.7527) labels_encoder: 0.5206 (0.7527) labels_encoder_unscaled: 0.5206 (0.7527) time: 0.1439 data: 0.0002 max mem: 1127
Epoch: [1] [ 150/1412] eta: 0:03:23 lr: 0.000100 loss: 0.4785 (0.6735) labels_encoder: 0.4785 (0.6735) labels_encoder_unscaled: 0.4785 (0.6735) time: 0.1417 data: 0.0002 max mem: 1127
Epoch: [1] [ 200/1412] eta: 0:03:09 lr: 0.000100 loss: 0.4626 (0.6381) labels_encoder: 0.4626 (0.6381) labels_encoder_unscaled: 0.4626 (0.6381) time: 0.1409 data: 0.0002 max mem: 1127
Epoch: [1] [ 250/1412] eta: 0:02:58 lr: 0.000100 loss: 0.4481 (0.6035) labels_encoder: 0.4481 (0.6035) labels_encoder_unscaled: 0.4481 (0.6035) time: 0.1409 data: 0.0003 max mem: 1127
Epoch: [1] [ 300/1412] eta: 0:02:47 lr: 0.000100 loss: 0.4512 (0.5809) labels_encoder: 0.4512 (0.5809) labels_encoder_unscaled: 0.4512 (0.5809) time: 0.1392 data: 0.0003 max mem: 1127
Epoch: [1] [ 350/1412] eta: 0:02:38 lr: 0.000100 loss: 0.3740 (0.5547) labels_encoder: 0.3740 (0.5547) labels_encoder_unscaled: 0.3740 (0.5547) time: 0.1404 data: 0.0003 max mem: 1127
Epoch: [1] [ 400/1412] eta: 0:02:29 lr: 0.000100 loss: 0.4334 (0.5391) labels_encoder: 0.4334 (0.5391) labels_encoder_unscaled: 0.4334 (0.5391) time: 0.1374 data: 0.0003 max mem: 1127
Epoch: [1] [ 450/1412] eta: 0:02:21 lr: 0.000100 loss: 0.3724 (0.5246) labels_encoder: 0.3724 (0.5246) labels_encoder_unscaled: 0.3724 (0.5246) time: 0.1410 data: 0.0003 max mem: 1127
Epoch: [1] [ 500/1412] eta: 0:02:13 lr: 0.000100 loss: 0.3817 (0.5115) labels_encoder: 0.3817 (0.5115) labels_encoder_unscaled: 0.3817 (0.5115) time: 0.1396 data: 0.0002 max mem: 1127
Epoch: [1] [ 550/1412] eta: 0:02:05 lr: 0.000100 loss: 0.3494 (0.5024) labels_encoder: 0.3494 (0.5024) labels_encoder_unscaled: 0.3494 (0.5024) time: 0.1409 data: 0.0003 max mem: 1127
Epoch: [1] [ 600/1412] eta: 0:01:58 lr: 0.000100 loss: 0.3322 (0.4905) labels_encoder: 0.3322 (0.4905) labels_encoder_unscaled: 0.3322 (0.4905) time: 0.1394 data: 0.0002 max mem: 1127
Epoch: [1] [ 650/1412] eta: 0:01:50 lr: 0.000100 loss: 0.3418 (0.4815) labels_encoder: 0.3418 (0.4815) labels_encoder_unscaled: 0.3418 (0.4815) time: 0.1413 data: 0.0003 max mem: 1127
Epoch: [1] [ 700/1412] eta: 0:01:43 lr: 0.000100 loss: 0.3222 (0.4726) labels_encoder: 0.3222 (0.4726) labels_encoder_unscaled: 0.3222 (0.4726) time: 0.1371 data: 0.0003 max mem: 1127
Epoch: [1] [ 750/1412] eta: 0:01:35 lr: 0.000100 loss: 0.3251 (0.4631) labels_encoder: 0.3251 (0.4631) labels_encoder_unscaled: 0.3251 (0.4631) time: 0.1411 data: 0.0003 max mem: 1127
Epoch: [1] [ 800/1412] eta: 0:01:28 lr: 0.000100 loss: 0.3127 (0.4552) labels_encoder: 0.3127 (0.4552) labels_encoder_unscaled: 0.3127 (0.4552) time: 0.1398 data: 0.0003 max mem: 1127
Epoch: [1] [ 850/1412] eta: 0:01:21 lr: 0.000100 loss: 0.3264 (0.4466) labels_encoder: 0.3264 (0.4466) labels_encoder_unscaled: 0.3264 (0.4466) time: 0.1377 data: 0.0003 max mem: 1127
Epoch: [1] [ 900/1412] eta: 0:01:13 lr: 0.000100 loss: 0.2754 (0.4390) labels_encoder: 0.2754 (0.4390) labels_encoder_unscaled: 0.2754 (0.4390) time: 0.1436 data: 0.0003 max mem: 1127
Epoch: [1] [ 950/1412] eta: 0:01:06 lr: 0.000100 loss: 0.2766 (0.4321) labels_encoder: 0.2766 (0.4321) labels_encoder_unscaled: 0.2766 (0.4321) time: 0.1357 data: 0.0002 max mem: 1127
Epoch: [1] [1000/1412] eta: 0:00:59 lr: 0.000100 loss: 0.2927 (0.4259) labels_encoder: 0.2927 (0.4259) labels_encoder_unscaled: 0.2927 (0.4259) time: 0.1393 data: 0.0002 max mem: 1127
Epoch: [1] [1050/1412] eta: 0:00:51 lr: 0.000100 loss: 0.2698 (0.4197) labels_encoder: 0.2698 (0.4197) labels_encoder_unscaled: 0.2698 (0.4197) time: 0.1378 data: 0.0002 max mem: 1127
Epoch: [1] [1100/1412] eta: 0:00:44 lr: 0.000100 loss: 0.2778 (0.4143) labels_encoder: 0.2778 (0.4143) labels_encoder_unscaled: 0.2778 (0.4143) time: 0.1409 data: 0.0003 max mem: 1127
Epoch: [1] [1150/1412] eta: 0:00:37 lr: 0.000100 loss: 0.3222 (0.4088) labels_encoder: 0.3222 (0.4088) labels_encoder_unscaled: 0.3222 (0.4088) time: 0.1490 data: 0.0002 max mem: 1127
Epoch: [1] [1200/1412] eta: 0:00:30 lr: 0.000100 loss: 0.2685 (0.4035) labels_encoder: 0.2685 (0.4035) labels_encoder_unscaled: 0.2685 (0.4035) time: 0.1393 data: 0.0002 max mem: 1127
Epoch: [1] [1250/1412] eta: 0:00:23 lr: 0.000100 loss: 0.2604 (0.3986) labels_encoder: 0.2604 (0.3986) labels_encoder_unscaled: 0.2604 (0.3986) time: 0.1395 data: 0.0002 max mem: 1127
Epoch: [1] [1300/1412] eta: 0:00:16 lr: 0.000100 loss: 0.2605 (0.3939) labels_encoder: 0.2605 (0.3939) labels_encoder_unscaled: 0.2605 (0.3939) time: 0.1384 data: 0.0002 max mem: 1127
Epoch: [1] [1350/1412] eta: 0:00:08 lr: 0.000100 loss: 0.2565 (0.3893) labels_encoder: 0.2565 (0.3893) labels_encoder_unscaled: 0.2565 (0.3893) time: 0.1395 data: 0.0003 max mem: 1127
Epoch: [1] [1400/1412] eta: 0:00:01 lr: 0.000100 loss: 0.2380 (0.3846) labels_encoder: 0.2380 (0.3846) labels_encoder_unscaled: 0.2380 (0.3846) time: 0.1382 data: 0.0004 max mem: 1127
Epoch: [1] [1411/1412] eta: 0:00:00 lr: 0.000100 loss: 0.2412 (0.3839) labels_encoder: 0.2412 (0.3839) labels_encoder_unscaled: 0.2412 (0.3839) time: 0.1259 data: 0.0003 max mem: 1127
Epoch: [1] Total time: 0:03:21 (0.1427 s / it)
Averaged stats: lr: 0.000100 loss: 0.2412 (0.3839) labels_encoder: 0.2412 (0.3839) labels_encoder_unscaled: 0.2412 (0.3839)
Test: [ 0/1613] eta: 0:42:30 loss: 0.5257 (0.5257) labels_encoder: 0.5257 (0.5257) labels_encoder_unscaled: 0.5257 (0.5257) time: 1.5812 data: 1.5171 max mem: 1127
Test: [ 50/1613] eta: 0:02:21 loss: 0.2428 (0.5842) labels_encoder: 0.2428 (0.5842) labels_encoder_unscaled: 0.2428 (0.5842) time: 0.0590 data: 0.0002 max mem: 1127
Test: [ 100/1613] eta: 0:01:53 loss: 0.0696 (0.4936) labels_encoder: 0.0696 (0.4936) labels_encoder_unscaled: 0.0696 (0.4936) time: 0.0566 data: 0.0002 max mem: 1127
Test: [ 150/1613] eta: 0:01:41 loss: 0.3642 (0.4553) labels_encoder: 0.3642 (0.4553) labels_encoder_unscaled: 0.3642 (0.4553) time: 0.0531 data: 0.0002 max mem: 1127
Test: [ 200/1613] eta: 0:01:33 loss: 0.7118 (0.5361) labels_encoder: 0.7118 (0.5361) labels_encoder_unscaled: 0.7118 (0.5361) time: 0.0578 data: 0.0002 max mem: 1127
Test: [ 250/1613] eta: 0:01:28 loss: 0.3177 (0.5774) labels_encoder: 0.3177 (0.5774) labels_encoder_unscaled: 0.3177 (0.5774) time: 0.0611 data: 0.0003 max mem: 1127
Test: [ 300/1613] eta: 0:01:23 loss: 0.2541 (0.5834) labels_encoder: 0.2541 (0.5834) labels_encoder_unscaled: 0.2541 (0.5834) time: 0.0561 data: 0.0002 max mem: 1127
Test: [ 350/1613] eta: 0:01:19 loss: 0.7881 (0.5904) labels_encoder: 0.7881 (0.5904) labels_encoder_unscaled: 0.7881 (0.5904) time: 0.0633 data: 0.0002 max mem: 1127
Test: [ 400/1613] eta: 0:01:15 loss: 0.5964 (0.6718) labels_encoder: 0.5964 (0.6718) labels_encoder_unscaled: 0.5964 (0.6718) time: 0.0622 data: 0.0002 max mem: 1127
Test: [ 450/1613] eta: 0:01:12 loss: 0.5195 (0.7026) labels_encoder: 0.5195 (0.7026) labels_encoder_unscaled: 0.5195 (0.7026) time: 0.0561 data: 0.0002 max mem: 1127
Test: [ 500/1613] eta: 0:01:08 loss: 0.1789 (0.6692) labels_encoder: 0.1789 (0.6692) labels_encoder_unscaled: 0.1789 (0.6692) time: 0.0536 data: 0.0002 max mem: 1127
Test: [ 550/1613] eta: 0:01:04 loss: 0.7306 (0.6865) labels_encoder: 0.7306 (0.6865) labels_encoder_unscaled: 0.7306 (0.6865) time: 0.0581 data: 0.0002 max mem: 1127
Test: [ 600/1613] eta: 0:01:01 loss: 0.8107 (0.7118) labels_encoder: 0.8107 (0.7118) labels_encoder_unscaled: 0.8107 (0.7118) time: 0.0518 data: 0.0003 max mem: 1127
Test: [ 650/1613] eta: 0:00:57 loss: 0.7911 (0.7064) labels_encoder: 0.7911 (0.7064) labels_encoder_unscaled: 0.7911 (0.7064) time: 0.0576 data: 0.0002 max mem: 1127
Test: [ 700/1613] eta: 0:00:54 loss: 0.3529 (0.6892) labels_encoder: 0.3529 (0.6892) labels_encoder_unscaled: 0.3529 (0.6892) time: 0.0601 data: 0.0002 max mem: 1127
Test: [ 750/1613] eta: 0:00:51 loss: 0.5707 (0.6807) labels_encoder: 0.5707 (0.6807) labels_encoder_unscaled: 0.5707 (0.6807) time: 0.0669 data: 0.0002 max mem: 1127
Test: [ 800/1613] eta: 0:00:48 loss: 0.5297 (0.6904) labels_encoder: 0.5297 (0.6904) labels_encoder_unscaled: 0.5297 (0.6904) time: 0.0496 data: 0.0002 max mem: 1127
Test: [ 850/1613] eta: 0:00:45 loss: 0.9266 (0.6927) labels_encoder: 0.9266 (0.6927) labels_encoder_unscaled: 0.9266 (0.6927) time: 0.0630 data: 0.0002 max mem: 1127
Test: [ 900/1613] eta: 0:00:42 loss: 0.4464 (0.7037) labels_encoder: 0.4464 (0.7037) labels_encoder_unscaled: 0.4464 (0.7037) time: 0.0604 data: 0.0002 max mem: 1127
Test: [ 950/1613] eta: 0:00:39 loss: 0.6861 (0.7017) labels_encoder: 0.6861 (0.7017) labels_encoder_unscaled: 0.6861 (0.7017) time: 0.0626 data: 0.0002 max mem: 1127
Test: [1000/1613] eta: 0:00:36 loss: 0.3198 (0.6893) labels_encoder: 0.3198 (0.6893) labels_encoder_unscaled: 0.3198 (0.6893) time: 0.0560 data: 0.0002 max mem: 1127
Test: [1050/1613] eta: 0:00:33 loss: 0.5178 (0.6905) labels_encoder: 0.5178 (0.6905) labels_encoder_unscaled: 0.5178 (0.6905) time: 0.0604 data: 0.0002 max mem: 1127
Test: [1100/1613] eta: 0:00:30 loss: 0.3844 (0.6962) labels_encoder: 0.3844 (0.6962) labels_encoder_unscaled: 0.3844 (0.6962) time: 0.0558 data: 0.0002 max mem: 1127
Test: [1150/1613] eta: 0:00:27 loss: 0.4432 (0.6861) labels_encoder: 0.4432 (0.6861) labels_encoder_unscaled: 0.4432 (0.6861) time: 0.0616 data: 0.0002 max mem: 1127
Test: [1200/1613] eta: 0:00:24 loss: 0.4196 (0.6880) labels_encoder: 0.4196 (0.6880) labels_encoder_unscaled: 0.4196 (0.6880) time: 0.0565 data: 0.0002 max mem: 1127
Test: [1250/1613] eta: 0:00:21 loss: 0.3402 (0.6903) labels_encoder: 0.3402 (0.6903) labels_encoder_unscaled: 0.3402 (0.6903) time: 0.0557 data: 0.0002 max mem: 1127
Test: [1300/1613] eta: 0:00:18 loss: 0.2884 (0.6820) labels_encoder: 0.2884 (0.6820) labels_encoder_unscaled: 0.2884 (0.6820) time: 0.0602 data: 0.0002 max mem: 1127
Test: [1350/1613] eta: 0:00:15 loss: 0.4820 (0.6860) labels_encoder: 0.4820 (0.6860) labels_encoder_unscaled: 0.4820 (0.6860) time: 0.0565 data: 0.0002 max mem: 1127
Test: [1400/1613] eta: 0:00:12 loss: 0.4748 (0.6850) labels_encoder: 0.4748 (0.6850) labels_encoder_unscaled: 0.4748 (0.6850) time: 0.0639 data: 0.0002 max mem: 1127
Test: [1450/1613] eta: 0:00:09 loss: 0.4122 (0.6874) labels_encoder: 0.4122 (0.6874) labels_encoder_unscaled: 0.4122 (0.6874) time: 0.0575 data: 0.0002 max mem: 1127
Test: [1500/1613] eta: 0:00:06 loss: 0.6051 (0.6958) labels_encoder: 0.6051 (0.6958) labels_encoder_unscaled: 0.6051 (0.6958) time: 0.0588 data: 0.0002 max mem: 1127
Test: [1550/1613] eta: 0:00:03 loss: 0.5446 (0.6968) labels_encoder: 0.5446 (0.6968) labels_encoder_unscaled: 0.5446 (0.6968) time: 0.0601 data: 0.0002 max mem: 1127
Test: [1600/1613] eta: 0:00:00 loss: 0.6200 (0.6942) labels_encoder: 0.6200 (0.6942) labels_encoder_unscaled: 0.6200 (0.6942) time: 0.0573 data: 0.0002 max mem: 1127
Test: [1612/1613] eta: 0:00:00 loss: 0.3744 (0.6933) labels_encoder: 0.3744 (0.6933) labels_encoder_unscaled: 0.3744 (0.6933) time: 0.0418 data: 0.0001 max mem: 1127
Test: Total time: 0:01:36 (0.0598 s / it)
Averaged stats: loss: 0.3744 (0.6933) labels_encoder: 0.3744 (0.6933) labels_encoder_unscaled: 0.3744 (0.6933)
(21, 206375)
(21, 206375)
[Epoch-1] [IDU-anet] mAP: 0.5604, mcAP: 0.9751
BaseballPitch: 0.3375
BasketballDunk: 0.7213
Billiards: 0.3632
CleanAndJerk: 0.7337
CliffDiving: 0.8298
CricketBowling: 0.3552
CricketShot: 0.1477
Diving: 0.6905
FrisbeeCatch: 0.3782
GolfSwing: 0.5599
HammerThrow: 0.8322
HighJump: 0.5360
JavelinThrow: 0.7129
LongJump: 0.7893
PoleVault: 0.8657
Shotput: 0.6476
SoccerPenalty: 0.3538
TennisSwing: 0.4250
ThrowDiscus: 0.6505
VolleyballSpiking: 0.2791
Epoch: [2] [ 0/1412] eta: 0:39:24 lr: 0.000010 loss: 0.2805 (0.2805) labels_encoder: 0.2805 (0.2805) labels_encoder_unscaled: 0.2805 (0.2805) time: 1.6749 data: 1.5225 max mem: 1127
Epoch: [2] [ 50/1412] eta: 0:03:55 lr: 0.000010 loss: 0.2088 (0.2286) labels_encoder: 0.2088 (0.2286) labels_encoder_unscaled: 0.2088 (0.2286) time: 0.1375 data: 0.0002 max mem: 1127
Epoch: [2] [ 100/1412] eta: 0:03:24 lr: 0.000010 loss: 0.2094 (0.2260) labels_encoder: 0.2094 (0.2260) labels_encoder_unscaled: 0.2094 (0.2260) time: 0.1388 data: 0.0002 max mem: 1127
Epoch: [2] [ 150/1412] eta: 0:03:09 lr: 0.000010 loss: 0.2188 (0.2210) labels_encoder: 0.2188 (0.2210) labels_encoder_unscaled: 0.2188 (0.2210) time: 0.1406 data: 0.0002 max mem: 1127
Epoch: [2] [ 200/1412] eta: 0:02:58 lr: 0.000010 loss: 0.2033 (0.2191) labels_encoder: 0.2033 (0.2191) labels_encoder_unscaled: 0.2033 (0.2191) time: 0.1420 data: 0.0002 max mem: 1127
Epoch: [2] [ 250/1412] eta: 0:02:49 lr: 0.000010 loss: 0.2051 (0.2182) labels_encoder: 0.2051 (0.2182) labels_encoder_unscaled: 0.2051 (0.2182) time: 0.1394 data: 0.0002 max mem: 1127
Epoch: [2] [ 300/1412] eta: 0:02:41 lr: 0.000010 loss: 0.2187 (0.2158) labels_encoder: 0.2187 (0.2158) labels_encoder_unscaled: 0.2187 (0.2158) time: 0.1414 data: 0.0003 max mem: 1127
Epoch: [2] [ 350/1412] eta: 0:02:33 lr: 0.000010 loss: 0.2174 (0.2148) labels_encoder: 0.2174 (0.2148) labels_encoder_unscaled: 0.2174 (0.2148) time: 0.1419 data: 0.0003 max mem: 1127
Epoch: [2] [ 400/1412] eta: 0:02:25 lr: 0.000010 loss: 0.1920 (0.2131) labels_encoder: 0.1920 (0.2131) labels_encoder_unscaled: 0.1920 (0.2131) time: 0.1381 data: 0.0002 max mem: 1127
Epoch: [2] [ 450/1412] eta: 0:02:18 lr: 0.000010 loss: 0.2002 (0.2126) labels_encoder: 0.2002 (0.2126) labels_encoder_unscaled: 0.2002 (0.2126) time: 0.1418 data: 0.0002 max mem: 1127
Epoch: [2] [ 500/1412] eta: 0:02:10 lr: 0.000010 loss: 0.2009 (0.2108) labels_encoder: 0.2009 (0.2108) labels_encoder_unscaled: 0.2009 (0.2108) time: 0.1423 data: 0.0003 max mem: 1127
Epoch: [2] [ 550/1412] eta: 0:02:03 lr: 0.000010 loss: 0.1991 (0.2101) labels_encoder: 0.1991 (0.2101) labels_encoder_unscaled: 0.1991 (0.2101) time: 0.1455 data: 0.0003 max mem: 1127
Epoch: [2] [ 600/1412] eta: 0:01:55 lr: 0.000010 loss: 0.1772 (0.2085) labels_encoder: 0.1772 (0.2085) labels_encoder_unscaled: 0.1772 (0.2085) time: 0.1382 data: 0.0002 max mem: 1127
Epoch: [2] [ 650/1412] eta: 0:01:48 lr: 0.000010 loss: 0.2242 (0.2085) labels_encoder: 0.2242 (0.2085) labels_encoder_unscaled: 0.2242 (0.2085) time: 0.1415 data: 0.0002 max mem: 1127
Epoch: [2] [ 700/1412] eta: 0:01:41 lr: 0.000010 loss: 0.1899 (0.2078) labels_encoder: 0.1899 (0.2078) labels_encoder_unscaled: 0.1899 (0.2078) time: 0.1333 data: 0.0002 max mem: 1127
Epoch: [2] [ 750/1412] eta: 0:01:34 lr: 0.000010 loss: 0.1920 (0.2068) labels_encoder: 0.1920 (0.2068) labels_encoder_unscaled: 0.1920 (0.2068) time: 0.1426 data: 0.0003 max mem: 1127
Epoch: [2] [ 800/1412] eta: 0:01:27 lr: 0.000010 loss: 0.1975 (0.2061) labels_encoder: 0.1975 (0.2061) labels_encoder_unscaled: 0.1975 (0.2061) time: 0.1415 data: 0.0002 max mem: 1127
Epoch: [2] [ 850/1412] eta: 0:01:20 lr: 0.000010 loss: 0.2031 (0.2060) labels_encoder: 0.2031 (0.2060) labels_encoder_unscaled: 0.2031 (0.2060) time: 0.1364 data: 0.0002 max mem: 1127
Epoch: [2] [ 900/1412] eta: 0:01:12 lr: 0.000010 loss: 0.1673 (0.2054) labels_encoder: 0.1673 (0.2054) labels_encoder_unscaled: 0.1673 (0.2054) time: 0.1389 data: 0.0013 max mem: 1127
Epoch: [2] [ 950/1412] eta: 0:01:05 lr: 0.000010 loss: 0.1974 (0.2046) labels_encoder: 0.1974 (0.2046) labels_encoder_unscaled: 0.1974 (0.2046) time: 0.1399 data: 0.0012 max mem: 1127
Epoch: [2] [1000/1412] eta: 0:00:58 lr: 0.000010 loss: 0.1907 (0.2042) labels_encoder: 0.1907 (0.2042) labels_encoder_unscaled: 0.1907 (0.2042) time: 0.1412 data: 0.0002 max mem: 1127
Epoch: [2] [1050/1412] eta: 0:00:51 lr: 0.000010 loss: 0.1782 (0.2035) labels_encoder: 0.1782 (0.2035) labels_encoder_unscaled: 0.1782 (0.2035) time: 0.1441 data: 0.0003 max mem: 1127
Epoch: [2] [1100/1412] eta: 0:00:44 lr: 0.000010 loss: 0.1745 (0.2025) labels_encoder: 0.1745 (0.2025) labels_encoder_unscaled: 0.1745 (0.2025) time: 0.1377 data: 0.0003 max mem: 1127
Epoch: [2] [1150/1412] eta: 0:00:37 lr: 0.000010 loss: 0.1952 (0.2020) labels_encoder: 0.1952 (0.2020) labels_encoder_unscaled: 0.1952 (0.2020) time: 0.1417 data: 0.0002 max mem: 1127
Epoch: [2] [1200/1412] eta: 0:00:30 lr: 0.000010 loss: 0.1851 (0.2012) labels_encoder: 0.1851 (0.2012) labels_encoder_unscaled: 0.1851 (0.2012) time: 0.1391 data: 0.0003 max mem: 1127
Epoch: [2] [1250/1412] eta: 0:00:22 lr: 0.000010 loss: 0.1938 (0.2011) labels_encoder: 0.1938 (0.2011) labels_encoder_unscaled: 0.1938 (0.2011) time: 0.1368 data: 0.0002 max mem: 1127
Epoch: [2] [1300/1412] eta: 0:00:15 lr: 0.000010 loss: 0.1918 (0.2007) labels_encoder: 0.1918 (0.2007) labels_encoder_unscaled: 0.1918 (0.2007) time: 0.1417 data: 0.0002 max mem: 1127
Epoch: [2] [1350/1412] eta: 0:00:08 lr: 0.000010 loss: 0.1812 (0.2004) labels_encoder: 0.1812 (0.2004) labels_encoder_unscaled: 0.1812 (0.2004) time: 0.1433 data: 0.0003 max mem: 1127
Epoch: [2] [1400/1412] eta: 0:00:01 lr: 0.000010 loss: 0.1942 (0.2000) labels_encoder: 0.1942 (0.2000) labels_encoder_unscaled: 0.1942 (0.2000) time: 0.1404 data: 0.0005 max mem: 1127
Epoch: [2] [1411/1412] eta: 0:00:00 lr: 0.000010 loss: 0.1945 (0.2001) labels_encoder: 0.1945 (0.2001) labels_encoder_unscaled: 0.1945 (0.2001) time: 0.1281 data: 0.0004 max mem: 1127
Epoch: [2] Total time: 0:03:20 (0.1418 s / it)
Averaged stats: lr: 0.000010 loss: 0.1945 (0.2001) labels_encoder: 0.1945 (0.2001) labels_encoder_unscaled: 0.1945 (0.2001)
Test: [ 0/1613] eta: 0:45:07 loss: 0.2028 (0.2028) labels_encoder: 0.2028 (0.2028) labels_encoder_unscaled: 0.2028 (0.2028) time: 1.6787 data: 1.6168 max mem: 1127
Test: [ 50/1613] eta: 0:02:24 loss: 0.2359 (0.6237) labels_encoder: 0.2359 (0.6237) labels_encoder_unscaled: 0.2359 (0.6237) time: 0.0611 data: 0.0002 max mem: 1127
Test: [ 100/1613] eta: 0:01:55 loss: 0.1004 (0.4802) labels_encoder: 0.1004 (0.4802) labels_encoder_unscaled: 0.1004 (0.4802) time: 0.0563 data: 0.0002 max mem: 1127
Test: [ 150/1613] eta: 0:01:46 loss: 0.3750 (0.4519) labels_encoder: 0.3750 (0.4519) labels_encoder_unscaled: 0.3750 (0.4519) time: 0.0634 data: 0.0014 max mem: 1127
Test: [ 200/1613] eta: 0:01:37 loss: 0.6555 (0.5169) labels_encoder: 0.6555 (0.5169) labels_encoder_unscaled: 0.6555 (0.5169) time: 0.0553 data: 0.0002 max mem: 1127
Test: [ 250/1613] eta: 0:01:31 loss: 0.3133 (0.5561) labels_encoder: 0.3133 (0.5561) labels_encoder_unscaled: 0.3133 (0.5561) time: 0.0602 data: 0.0002 max mem: 1127
Test: [ 300/1613] eta: 0:01:26 loss: 0.3241 (0.5828) labels_encoder: 0.3241 (0.5828) labels_encoder_unscaled: 0.3241 (0.5828) time: 0.0612 data: 0.0002 max mem: 1127
Test: [ 350/1613] eta: 0:01:22 loss: 0.9086 (0.5933) labels_encoder: 0.9086 (0.5933) labels_encoder_unscaled: 0.9086 (0.5933) time: 0.0603 data: 0.0002 max mem: 1127
Test: [ 400/1613] eta: 0:01:18 loss: 0.5206 (0.6674) labels_encoder: 0.5206 (0.6674) labels_encoder_unscaled: 0.5206 (0.6674) time: 0.0626 data: 0.0002 max mem: 1127
Test: [ 450/1613] eta: 0:01:14 loss: 0.5269 (0.7121) labels_encoder: 0.5269 (0.7121) labels_encoder_unscaled: 0.5269 (0.7121) time: 0.0574 data: 0.0002 max mem: 1127
Test: [ 500/1613] eta: 0:01:10 loss: 0.2724 (0.6753) labels_encoder: 0.2724 (0.6753) labels_encoder_unscaled: 0.2724 (0.6753) time: 0.0560 data: 0.0002 max mem: 1127
Test: [ 550/1613] eta: 0:01:06 loss: 0.6212 (0.6851) labels_encoder: 0.6212 (0.6851) labels_encoder_unscaled: 0.6212 (0.6851) time: 0.0547 data: 0.0002 max mem: 1127
Test: [ 600/1613] eta: 0:01:02 loss: 0.9189 (0.7181) labels_encoder: 0.9189 (0.7181) labels_encoder_unscaled: 0.9189 (0.7181) time: 0.0578 data: 0.0002 max mem: 1127
Test: [ 650/1613] eta: 0:00:59 loss: 0.5521 (0.7017) labels_encoder: 0.5521 (0.7017) labels_encoder_unscaled: 0.5521 (0.7017) time: 0.0538 data: 0.0002 max mem: 1127
Test: [ 700/1613] eta: 0:00:56 loss: 0.3410 (0.6879) labels_encoder: 0.3410 (0.6879) labels_encoder_unscaled: 0.3410 (0.6879) time: 0.0597 data: 0.0002 max mem: 1127
Test: [ 750/1613] eta: 0:00:53 loss: 0.3606 (0.6725) labels_encoder: 0.3606 (0.6725) labels_encoder_unscaled: 0.3606 (0.6725) time: 0.0569 data: 0.0002 max mem: 1127
Test: [ 800/1613] eta: 0:00:49 loss: 0.4861 (0.6730) labels_encoder: 0.4861 (0.6730) labels_encoder_unscaled: 0.4861 (0.6730) time: 0.0580 data: 0.0002 max mem: 1127
Test: [ 850/1613] eta: 0:00:46 loss: 1.0852 (0.6766) labels_encoder: 1.0852 (0.6766) labels_encoder_unscaled: 1.0852 (0.6766) time: 0.0555 data: 0.0002 max mem: 1127
Test: [ 900/1613] eta: 0:00:43 loss: 0.4239 (0.6822) labels_encoder: 0.4239 (0.6822) labels_encoder_unscaled: 0.4239 (0.6822) time: 0.0558 data: 0.0002 max mem: 1127
Test: [ 950/1613] eta: 0:00:40 loss: 0.4178 (0.6759) labels_encoder: 0.4178 (0.6759) labels_encoder_unscaled: 0.4178 (0.6759) time: 0.0637 data: 0.0002 max mem: 1127
Test: [1000/1613] eta: 0:00:37 loss: 0.3058 (0.6639) labels_encoder: 0.3058 (0.6639) labels_encoder_unscaled: 0.3058 (0.6639) time: 0.0620 data: 0.0002 max mem: 1127
Test: [1050/1613] eta: 0:00:34 loss: 0.5250 (0.6589) labels_encoder: 0.5250 (0.6589) labels_encoder_unscaled: 0.5250 (0.6589) time: 0.0650 data: 0.0014 max mem: 1127
Test: [1100/1613] eta: 0:00:31 loss: 0.4172 (0.6640) labels_encoder: 0.4172 (0.6640) labels_encoder_unscaled: 0.4172 (0.6640) time: 0.0599 data: 0.0002 max mem: 1127
Test: [1150/1613] eta: 0:00:28 loss: 0.4260 (0.6555) labels_encoder: 0.4260 (0.6555) labels_encoder_unscaled: 0.4260 (0.6555) time: 0.0585 data: 0.0002 max mem: 1127
Test: [1200/1613] eta: 0:00:25 loss: 0.3262 (0.6567) labels_encoder: 0.3262 (0.6567) labels_encoder_unscaled: 0.3262 (0.6567) time: 0.0606 data: 0.0002 max mem: 1127
Test: [1250/1613] eta: 0:00:21 loss: 0.3070 (0.6591) labels_encoder: 0.3070 (0.6591) labels_encoder_unscaled: 0.3070 (0.6591) time: 0.0549 data: 0.0002 max mem: 1127
Test: [1300/1613] eta: 0:00:18 loss: 0.3553 (0.6551) labels_encoder: 0.3553 (0.6551) labels_encoder_unscaled: 0.3553 (0.6551) time: 0.0599 data: 0.0002 max mem: 1127
Test: [1350/1613] eta: 0:00:15 loss: 0.6233 (0.6634) labels_encoder: 0.6233 (0.6634) labels_encoder_unscaled: 0.6233 (0.6634) time: 0.0624 data: 0.0002 max mem: 1127
Test: [1400/1613] eta: 0:00:12 loss: 0.6627 (0.6639) labels_encoder: 0.6627 (0.6639) labels_encoder_unscaled: 0.6627 (0.6639) time: 0.0598 data: 0.0002 max mem: 1127
Test: [1450/1613] eta: 0:00:09 loss: 0.3438 (0.6775) labels_encoder: 0.3438 (0.6775) labels_encoder_unscaled: 0.3438 (0.6775) time: 0.0580 data: 0.0002 max mem: 1127
Test: [1500/1613] eta: 0:00:06 loss: 0.5084 (0.6868) labels_encoder: 0.5084 (0.6868) labels_encoder_unscaled: 0.5084 (0.6868) time: 0.0574 data: 0.0002 max mem: 1127
Test: [1550/1613] eta: 0:00:03 loss: 0.5409 (0.6863) labels_encoder: 0.5409 (0.6863) labels_encoder_unscaled: 0.5409 (0.6863) time: 0.0607 data: 0.0002 max mem: 1127
Test: [1600/1613] eta: 0:00:00 loss: 0.7587 (0.6819) labels_encoder: 0.7587 (0.6819) labels_encoder_unscaled: 0.7587 (0.6819) time: 0.0627 data: 0.0002 max mem: 1127
Test: [1612/1613] eta: 0:00:00 loss: 0.6305 (0.6817) labels_encoder: 0.6305 (0.6817) labels_encoder_unscaled: 0.6305 (0.6817) time: 0.0439 data: 0.0001 max mem: 1127
Test: Total time: 0:01:37 (0.0604 s / it)
Averaged stats: loss: 0.6305 (0.6817) labels_encoder: 0.6305 (0.6817) labels_encoder_unscaled: 0.6305 (0.6817)
(21, 206375)
(21, 206375)
[Epoch-2] [IDU-anet] mAP: 0.5542, mcAP: 0.9747
BaseballPitch: 0.2317
BasketballDunk: 0.7426
Billiards: 0.3795
CleanAndJerk: 0.7374
CliffDiving: 0.8073
CricketBowling: 0.3497
CricketShot: 0.1645
Diving: 0.6958
FrisbeeCatch: 0.2736
GolfSwing: 0.5302
HammerThrow: 0.8522
HighJump: 0.5515
JavelinThrow: 0.6981
LongJump: 0.8002
PoleVault: 0.8544
Shotput: 0.6453
SoccerPenalty: 0.3512
TennisSwing: 0.5109
ThrowDiscus: 0.6165
VolleyballSpiking: 0.2903
Epoch: [3] [ 0/1412] eta: 0:40:27 lr: 0.000001 loss: 0.1996 (0.1996) labels_encoder: 0.1996 (0.1996) labels_encoder_unscaled: 0.1996 (0.1996) time: 1.7195 data: 1.5832 max mem: 1127
Epoch: [3] [ 50/1412] eta: 0:04:03 lr: 0.000001 loss: 0.1912 (0.1891) labels_encoder: 0.1912 (0.1891) labels_encoder_unscaled: 0.1912 (0.1891) time: 0.1425 data: 0.0003 max mem: 1127
Epoch: [3] [ 100/1412] eta: 0:03:29 lr: 0.000001 loss: 0.1908 (0.1871) labels_encoder: 0.1908 (0.1871) labels_encoder_unscaled: 0.1908 (0.1871) time: 0.1408 data: 0.0002 max mem: 1127
Epoch: [3] [ 150/1412] eta: 0:03:11 lr: 0.000001 loss: 0.2015 (0.1881) labels_encoder: 0.2015 (0.1881) labels_encoder_unscaled: 0.2015 (0.1881) time: 0.1367 data: 0.0002 max mem: 1127
Epoch: [3] [ 200/1412] eta: 0:02:59 lr: 0.000001 loss: 0.1649 (0.1838) labels_encoder: 0.1649 (0.1838) labels_encoder_unscaled: 0.1649 (0.1838) time: 0.1370 data: 0.0003 max mem: 1127
Epoch: [3] [ 250/1412] eta: 0:02:50 lr: 0.000001 loss: 0.1766 (0.1822) labels_encoder: 0.1766 (0.1822) labels_encoder_unscaled: 0.1766 (0.1822) time: 0.1429 data: 0.0002 max mem: 1127
Epoch: [3] [ 300/1412] eta: 0:02:42 lr: 0.000001 loss: 0.1874 (0.1818) labels_encoder: 0.1874 (0.1818) labels_encoder_unscaled: 0.1874 (0.1818) time: 0.1418 data: 0.0003 max mem: 1127
Epoch: [3] [ 350/1412] eta: 0:02:34 lr: 0.000001 loss: 0.1746 (0.1809) labels_encoder: 0.1746 (0.1809) labels_encoder_unscaled: 0.1746 (0.1809) time: 0.1443 data: 0.0003 max mem: 1127
Epoch: [3] [ 400/1412] eta: 0:02:26 lr: 0.000001 loss: 0.1694 (0.1809) labels_encoder: 0.1694 (0.1809) labels_encoder_unscaled: 0.1694 (0.1809) time: 0.1410 data: 0.0003 max mem: 1127
Epoch: [3] [ 450/1412] eta: 0:02:18 lr: 0.000001 loss: 0.1585 (0.1799) labels_encoder: 0.1585 (0.1799) labels_encoder_unscaled: 0.1585 (0.1799) time: 0.1369 data: 0.0003 max mem: 1127
Epoch: [3] [ 500/1412] eta: 0:02:11 lr: 0.000001 loss: 0.1707 (0.1799) labels_encoder: 0.1707 (0.1799) labels_encoder_unscaled: 0.1707 (0.1799) time: 0.1383 data: 0.0002 max mem: 1127
Epoch: [3] [ 550/1412] eta: 0:02:03 lr: 0.000001 loss: 0.1885 (0.1792) labels_encoder: 0.1885 (0.1792) labels_encoder_unscaled: 0.1885 (0.1792) time: 0.1413 data: 0.0002 max mem: 1127
Epoch: [3] [ 600/1412] eta: 0:01:56 lr: 0.000001 loss: 0.1668 (0.1788) labels_encoder: 0.1668 (0.1788) labels_encoder_unscaled: 0.1668 (0.1788) time: 0.1404 data: 0.0002 max mem: 1127
Epoch: [3] [ 650/1412] eta: 0:01:48 lr: 0.000001 loss: 0.1702 (0.1788) labels_encoder: 0.1702 (0.1788) labels_encoder_unscaled: 0.1702 (0.1788) time: 0.1404 data: 0.0003 max mem: 1127
Epoch: [3] [ 700/1412] eta: 0:01:41 lr: 0.000001 loss: 0.1752 (0.1788) labels_encoder: 0.1752 (0.1788) labels_encoder_unscaled: 0.1752 (0.1788) time: 0.1431 data: 0.0003 max mem: 1127
Epoch: [3] [ 750/1412] eta: 0:01:34 lr: 0.000001 loss: 0.1620 (0.1785) labels_encoder: 0.1620 (0.1785) labels_encoder_unscaled: 0.1620 (0.1785) time: 0.1404 data: 0.0003 max mem: 1127
Epoch: [3] [ 800/1412] eta: 0:01:27 lr: 0.000001 loss: 0.1828 (0.1784) labels_encoder: 0.1828 (0.1784) labels_encoder_unscaled: 0.1828 (0.1784) time: 0.1386 data: 0.0002 max mem: 1127
Epoch: [3] [ 850/1412] eta: 0:01:19 lr: 0.000001 loss: 0.1701 (0.1780) labels_encoder: 0.1701 (0.1780) labels_encoder_unscaled: 0.1701 (0.1780) time: 0.1325 data: 0.0002 max mem: 1127
Epoch: [3] [ 900/1412] eta: 0:01:12 lr: 0.000001 loss: 0.1602 (0.1780) labels_encoder: 0.1602 (0.1780) labels_encoder_unscaled: 0.1602 (0.1780) time: 0.1388 data: 0.0002 max mem: 1127
Epoch: [3] [ 950/1412] eta: 0:01:05 lr: 0.000001 loss: 0.1743 (0.1779) labels_encoder: 0.1743 (0.1779) labels_encoder_unscaled: 0.1743 (0.1779) time: 0.1377 data: 0.0002 max mem: 1127
Epoch: [3] [1000/1412] eta: 0:00:58 lr: 0.000001 loss: 0.1945 (0.1783) labels_encoder: 0.1945 (0.1783) labels_encoder_unscaled: 0.1945 (0.1783) time: 0.1379 data: 0.0002 max mem: 1127
Epoch: [3] [1050/1412] eta: 0:00:51 lr: 0.000001 loss: 0.1695 (0.1783) labels_encoder: 0.1695 (0.1783) labels_encoder_unscaled: 0.1695 (0.1783) time: 0.1390 data: 0.0002 max mem: 1127
Epoch: [3] [1100/1412] eta: 0:00:44 lr: 0.000001 loss: 0.1669 (0.1782) labels_encoder: 0.1669 (0.1782) labels_encoder_unscaled: 0.1669 (0.1782) time: 0.1365 data: 0.0002 max mem: 1127
Epoch: [3] [1150/1412] eta: 0:00:36 lr: 0.000001 loss: 0.2027 (0.1784) labels_encoder: 0.2027 (0.1784) labels_encoder_unscaled: 0.2027 (0.1784) time: 0.1413 data: 0.0002 max mem: 1127
Epoch: [3] [1200/1412] eta: 0:00:29 lr: 0.000001 loss: 0.1592 (0.1786) labels_encoder: 0.1592 (0.1786) labels_encoder_unscaled: 0.1592 (0.1786) time: 0.1421 data: 0.0002 max mem: 1127
Epoch: [3] [1250/1412] eta: 0:00:22 lr: 0.000001 loss: 0.1758 (0.1785) labels_encoder: 0.1758 (0.1785) labels_encoder_unscaled: 0.1758 (0.1785) time: 0.1419 data: 0.0002 max mem: 1127
Epoch: [3] [1300/1412] eta: 0:00:15 lr: 0.000001 loss: 0.1916 (0.1787) labels_encoder: 0.1916 (0.1787) labels_encoder_unscaled: 0.1916 (0.1787) time: 0.1383 data: 0.0003 max mem: 1127
Epoch: [3] [1350/1412] eta: 0:00:08 lr: 0.000001 loss: 0.1550 (0.1787) labels_encoder: 0.1550 (0.1787) labels_encoder_unscaled: 0.1550 (0.1787) time: 0.1412 data: 0.0002 max mem: 1127
Epoch: [3] [1400/1412] eta: 0:00:01 lr: 0.000001 loss: 0.1678 (0.1790) labels_encoder: 0.1678 (0.1790) labels_encoder_unscaled: 0.1678 (0.1790) time: 0.1397 data: 0.0004 max mem: 1127
Epoch: [3] [1411/1412] eta: 0:00:00 lr: 0.000001 loss: 0.1790 (0.1793) labels_encoder: 0.1790 (0.1793) labels_encoder_unscaled: 0.1790 (0.1793) time: 0.1276 data: 0.0003 max mem: 1127
Epoch: [3] Total time: 0:03:19 (0.1412 s / it)
Averaged stats: lr: 0.000001 loss: 0.1790 (0.1793) labels_encoder: 0.1790 (0.1793) labels_encoder_unscaled: 0.1790 (0.1793)
Test: [ 0/1613] eta: 0:43:54 loss: 0.4131 (0.4131) labels_encoder: 0.4131 (0.4131) labels_encoder_unscaled: 0.4131 (0.4131) time: 1.6330 data: 1.5927 max mem: 1127
Test: [ 50/1613] eta: 0:02:25 loss: 0.2704 (0.6533) labels_encoder: 0.2704 (0.6533) labels_encoder_unscaled: 0.2704 (0.6533) time: 0.0578 data: 0.0002 max mem: 1127
Test: [ 100/1613] eta: 0:01:56 loss: 0.1313 (0.5000) labels_encoder: 0.1313 (0.5000) labels_encoder_unscaled: 0.1313 (0.5000) time: 0.0615 data: 0.0002 max mem: 1127
Test: [ 150/1613] eta: 0:01:44 loss: 0.4474 (0.4684) labels_encoder: 0.4474 (0.4684) labels_encoder_unscaled: 0.4474 (0.4684) time: 0.0601 data: 0.0002 max mem: 1127
Test: [ 200/1613] eta: 0:01:36 loss: 0.6781 (0.5328) labels_encoder: 0.6781 (0.5328) labels_encoder_unscaled: 0.6781 (0.5328) time: 0.0591 data: 0.0002 max mem: 1127
Test: [ 250/1613] eta: 0:01:31 loss: 0.2463 (0.5700) labels_encoder: 0.2463 (0.5700) labels_encoder_unscaled: 0.2463 (0.5700) time: 0.0640 data: 0.0002 max mem: 1127
Test: [ 300/1613] eta: 0:01:26 loss: 0.3108 (0.5934) labels_encoder: 0.3108 (0.5934) labels_encoder_unscaled: 0.3108 (0.5934) time: 0.0656 data: 0.0002 max mem: 1127
Test: [ 350/1613] eta: 0:01:22 loss: 0.9336 (0.6018) labels_encoder: 0.9336 (0.6018) labels_encoder_unscaled: 0.9336 (0.6018) time: 0.0595 data: 0.0002 max mem: 1127
Test: [ 400/1613] eta: 0:01:18 loss: 0.4669 (0.6831) labels_encoder: 0.4669 (0.6831) labels_encoder_unscaled: 0.4669 (0.6831) time: 0.0634 data: 0.0002 max mem: 1127
Test: [ 450/1613] eta: 0:01:14 loss: 0.4851 (0.7254) labels_encoder: 0.4851 (0.7254) labels_encoder_unscaled: 0.4851 (0.7254) time: 0.0501 data: 0.0002 max mem: 1127
Test: [ 500/1613] eta: 0:01:10 loss: 0.1850 (0.6895) labels_encoder: 0.1850 (0.6895) labels_encoder_unscaled: 0.1850 (0.6895) time: 0.0594 data: 0.0002 max mem: 1127
Test: [ 550/1613] eta: 0:01:07 loss: 0.4693 (0.7014) labels_encoder: 0.4693 (0.7014) labels_encoder_unscaled: 0.4693 (0.7014) time: 0.0566 data: 0.0002 max mem: 1127
Test: [ 600/1613] eta: 0:01:03 loss: 1.0948 (0.7428) labels_encoder: 1.0948 (0.7428) labels_encoder_unscaled: 1.0948 (0.7428) time: 0.0568 data: 0.0002 max mem: 1127
Test: [ 650/1613] eta: 0:00:59 loss: 0.5178 (0.7250) labels_encoder: 0.5178 (0.7250) labels_encoder_unscaled: 0.5178 (0.7250) time: 0.0555 data: 0.0002 max mem: 1127
Test: [ 700/1613] eta: 0:00:56 loss: 0.3194 (0.7084) labels_encoder: 0.3194 (0.7084) labels_encoder_unscaled: 0.3194 (0.7084) time: 0.0548 data: 0.0002 max mem: 1127
Test: [ 750/1613] eta: 0:00:53 loss: 0.3434 (0.6893) labels_encoder: 0.3434 (0.6893) labels_encoder_unscaled: 0.3434 (0.6893) time: 0.0561 data: 0.0013 max mem: 1127
Test: [ 800/1613] eta: 0:00:50 loss: 0.4484 (0.6870) labels_encoder: 0.4484 (0.6870) labels_encoder_unscaled: 0.4484 (0.6870) time: 0.0660 data: 0.0002 max mem: 1127
Test: [ 850/1613] eta: 0:00:47 loss: 1.1598 (0.6911) labels_encoder: 1.1598 (0.6911) labels_encoder_unscaled: 1.1598 (0.6911) time: 0.0663 data: 0.0002 max mem: 1127
Test: [ 900/1613] eta: 0:00:44 loss: 0.4505 (0.6970) labels_encoder: 0.4505 (0.6970) labels_encoder_unscaled: 0.4505 (0.6970) time: 0.0594 data: 0.0002 max mem: 1127
Test: [ 950/1613] eta: 0:00:41 loss: 0.3884 (0.6859) labels_encoder: 0.3884 (0.6859) labels_encoder_unscaled: 0.3884 (0.6859) time: 0.0627 data: 0.0002 max mem: 1127
Test: [1000/1613] eta: 0:00:37 loss: 0.3400 (0.6729) labels_encoder: 0.3400 (0.6729) labels_encoder_unscaled: 0.3400 (0.6729) time: 0.0623 data: 0.0002 max mem: 1127
Test: [1050/1613] eta: 0:00:34 loss: 0.4991 (0.6660) labels_encoder: 0.4991 (0.6660) labels_encoder_unscaled: 0.4991 (0.6660) time: 0.0631 data: 0.0002 max mem: 1127
Test: [1100/1613] eta: 0:00:31 loss: 0.4347 (0.6693) labels_encoder: 0.4347 (0.6693) labels_encoder_unscaled: 0.4347 (0.6693) time: 0.0618 data: 0.0012 max mem: 1127
Test: [1150/1613] eta: 0:00:28 loss: 0.3850 (0.6604) labels_encoder: 0.3850 (0.6604) labels_encoder_unscaled: 0.3850 (0.6604) time: 0.0618 data: 0.0002 max mem: 1127
Test: [1200/1613] eta: 0:00:25 loss: 0.3263 (0.6621) labels_encoder: 0.3263 (0.6621) labels_encoder_unscaled: 0.3263 (0.6621) time: 0.0648 data: 0.0002 max mem: 1127
Test: [1250/1613] eta: 0:00:22 loss: 0.2800 (0.6648) labels_encoder: 0.2800 (0.6648) labels_encoder_unscaled: 0.2800 (0.6648) time: 0.0555 data: 0.0002 max mem: 1127
Test: [1300/1613] eta: 0:00:19 loss: 0.3231 (0.6599) labels_encoder: 0.3231 (0.6599) labels_encoder_unscaled: 0.3231 (0.6599) time: 0.0644 data: 0.0002 max mem: 1127
Test: [1350/1613] eta: 0:00:16 loss: 0.5004 (0.6671) labels_encoder: 0.5004 (0.6671) labels_encoder_unscaled: 0.5004 (0.6671) time: 0.0577 data: 0.0002 max mem: 1127
Test: [1400/1613] eta: 0:00:13 loss: 0.6308 (0.6658) labels_encoder: 0.6308 (0.6658) labels_encoder_unscaled: 0.6308 (0.6658) time: 0.0640 data: 0.0003 max mem: 1127
Test: [1450/1613] eta: 0:00:09 loss: 0.3042 (0.6794) labels_encoder: 0.3042 (0.6794) labels_encoder_unscaled: 0.3042 (0.6794) time: 0.0598 data: 0.0002 max mem: 1127
Test: [1500/1613] eta: 0:00:06 loss: 0.4589 (0.6899) labels_encoder: 0.4589 (0.6899) labels_encoder_unscaled: 0.4589 (0.6899) time: 0.0585 data: 0.0002 max mem: 1127
Test: [1550/1613] eta: 0:00:03 loss: 0.5071 (0.6888) labels_encoder: 0.5071 (0.6888) labels_encoder_unscaled: 0.5071 (0.6888) time: 0.0649 data: 0.0003 max mem: 1127
Test: [1600/1613] eta: 0:00:00 loss: 0.6502 (0.6846) labels_encoder: 0.6502 (0.6846) labels_encoder_unscaled: 0.6502 (0.6846) time: 0.0587 data: 0.0002 max mem: 1127
Test: [1612/1613] eta: 0:00:00 loss: 0.5951 (0.6844) labels_encoder: 0.5951 (0.6844) labels_encoder_unscaled: 0.5951 (0.6844) time: 0.0448 data: 0.0001 max mem: 1127
Test: Total time: 0:01:38 (0.0613 s / it)
Averaged stats: loss: 0.5951 (0.6844) labels_encoder: 0.5951 (0.6844) labels_encoder_unscaled: 0.5951 (0.6844)
(21, 206375)
(21, 206375)
[Epoch-3] [IDU-anet] mAP: 0.5500, mcAP: 0.9748
BaseballPitch: 0.2530
BasketballDunk: 0.7427
Billiards: 0.3821
CleanAndJerk: 0.7336
CliffDiving: 0.8136
CricketBowling: 0.3739
CricketShot: 0.1549
Diving: 0.6896
FrisbeeCatch: 0.2543
GolfSwing: 0.4995
HammerThrow: 0.8498
HighJump: 0.5623
JavelinThrow: 0.6912
LongJump: 0.7931
PoleVault: 0.8449
Shotput: 0.6619
SoccerPenalty: 0.3218
TennisSwing: 0.4985
ThrowDiscus: 0.6114
VolleyballSpiking: 0.2670
Epoch: [4] [ 0/1412] eta: 0:47:14 lr: 0.000000 loss: 0.1600 (0.1600) labels_encoder: 0.1600 (0.1600) labels_encoder_unscaled: 0.1600 (0.1600) time: 2.0073 data: 1.8261 max mem: 1127
Epoch: [4] [ 50/1412] eta: 0:04:07 lr: 0.000000 loss: 0.1762 (0.1832) labels_encoder: 0.1762 (0.1832) labels_encoder_unscaled: 0.1762 (0.1832) time: 0.1390 data: 0.0002 max mem: 1127
Epoch: [4] [ 100/1412] eta: 0:03:31 lr: 0.000000 loss: 0.1632 (0.1795) labels_encoder: 0.1632 (0.1795) labels_encoder_unscaled: 0.1632 (0.1795) time: 0.1401 data: 0.0002 max mem: 1127
Epoch: [4] [ 150/1412] eta: 0:03:15 lr: 0.000000 loss: 0.1700 (0.1772) labels_encoder: 0.1700 (0.1772) labels_encoder_unscaled: 0.1700 (0.1772) time: 0.1425 data: 0.0002 max mem: 1127
Epoch: [4] [ 200/1412] eta: 0:03:04 lr: 0.000000 loss: 0.1749 (0.1802) labels_encoder: 0.1749 (0.1802) labels_encoder_unscaled: 0.1749 (0.1802) time: 0.1428 data: 0.0003 max mem: 1127
Epoch: [4] [ 250/1412] eta: 0:02:54 lr: 0.000000 loss: 0.1573 (0.1797) labels_encoder: 0.1573 (0.1797) labels_encoder_unscaled: 0.1573 (0.1797) time: 0.1441 data: 0.0002 max mem: 1127
Epoch: [4] [ 300/1412] eta: 0:02:45 lr: 0.000000 loss: 0.1753 (0.1796) labels_encoder: 0.1753 (0.1796) labels_encoder_unscaled: 0.1753 (0.1796) time: 0.1426 data: 0.0003 max mem: 1127
Epoch: [4] [ 350/1412] eta: 0:02:37 lr: 0.000000 loss: 0.1821 (0.1792) labels_encoder: 0.1821 (0.1792) labels_encoder_unscaled: 0.1821 (0.1792) time: 0.1433 data: 0.0002 max mem: 1127
Epoch: [4] [ 400/1412] eta: 0:02:29 lr: 0.000000 loss: 0.1773 (0.1792) labels_encoder: 0.1773 (0.1792) labels_encoder_unscaled: 0.1773 (0.1792) time: 0.1481 data: 0.0002 max mem: 1127
Epoch: [4] [ 450/1412] eta: 0:02:21 lr: 0.000000 loss: 0.1651 (0.1783) labels_encoder: 0.1651 (0.1783) labels_encoder_unscaled: 0.1651 (0.1783) time: 0.1402 data: 0.0003 max mem: 1127
Epoch: [4] [ 500/1412] eta: 0:02:14 lr: 0.000000 loss: 0.1811 (0.1785) labels_encoder: 0.1811 (0.1785) labels_encoder_unscaled: 0.1811 (0.1785) time: 0.1437 data: 0.0002 max mem: 1127
Epoch: [4] [ 550/1412] eta: 0:02:06 lr: 0.000000 loss: 0.1834 (0.1788) labels_encoder: 0.1834 (0.1788) labels_encoder_unscaled: 0.1834 (0.1788) time: 0.1472 data: 0.0002 max mem: 1127
Epoch: [4] [ 600/1412] eta: 0:01:58 lr: 0.000000 loss: 0.1864 (0.1791) labels_encoder: 0.1864 (0.1791) labels_encoder_unscaled: 0.1864 (0.1791) time: 0.1362 data: 0.0002 max mem: 1127
Epoch: [4] [ 650/1412] eta: 0:01:51 lr: 0.000000 loss: 0.1934 (0.1796) labels_encoder: 0.1934 (0.1796) labels_encoder_unscaled: 0.1934 (0.1796) time: 0.1394 data: 0.0003 max mem: 1127
Epoch: [4] [ 700/1412] eta: 0:01:43 lr: 0.000000 loss: 0.1809 (0.1794) labels_encoder: 0.1809 (0.1794) labels_encoder_unscaled: 0.1809 (0.1794) time: 0.1372 data: 0.0002 max mem: 1127
Epoch: [4] [ 750/1412] eta: 0:01:36 lr: 0.000000 loss: 0.1654 (0.1790) labels_encoder: 0.1654 (0.1790) labels_encoder_unscaled: 0.1654 (0.1790) time: 0.1427 data: 0.0003 max mem: 1127
Epoch: [4] [ 800/1412] eta: 0:01:28 lr: 0.000000 loss: 0.1722 (0.1790) labels_encoder: 0.1722 (0.1790) labels_encoder_unscaled: 0.1722 (0.1790) time: 0.1415 data: 0.0003 max mem: 1127
Epoch: [4] [ 850/1412] eta: 0:01:21 lr: 0.000000 loss: 0.1753 (0.1787) labels_encoder: 0.1753 (0.1787) labels_encoder_unscaled: 0.1753 (0.1787) time: 0.1408 data: 0.0003 max mem: 1127
Epoch: [4] [ 900/1412] eta: 0:01:13 lr: 0.000000 loss: 0.1702 (0.1788) labels_encoder: 0.1702 (0.1788) labels_encoder_unscaled: 0.1702 (0.1788) time: 0.1368 data: 0.0002 max mem: 1127
Epoch: [4] [ 950/1412] eta: 0:01:06 lr: 0.000000 loss: 0.1947 (0.1788) labels_encoder: 0.1947 (0.1788) labels_encoder_unscaled: 0.1947 (0.1788) time: 0.1368 data: 0.0003 max mem: 1127
Epoch: [4] [1000/1412] eta: 0:00:59 lr: 0.000000 loss: 0.1863 (0.1789) labels_encoder: 0.1863 (0.1789) labels_encoder_unscaled: 0.1863 (0.1789) time: 0.1410 data: 0.0003 max mem: 1127
Epoch: [4] [1050/1412] eta: 0:00:52 lr: 0.000000 loss: 0.1604 (0.1784) labels_encoder: 0.1604 (0.1784) labels_encoder_unscaled: 0.1604 (0.1784) time: 0.1422 data: 0.0012 max mem: 1127
Epoch: [4] [1100/1412] eta: 0:00:44 lr: 0.000000 loss: 0.1867 (0.1786) labels_encoder: 0.1867 (0.1786) labels_encoder_unscaled: 0.1867 (0.1786) time: 0.1398 data: 0.0002 max mem: 1127
Epoch: [4] [1150/1412] eta: 0:00:37 lr: 0.000000 loss: 0.1712 (0.1783) labels_encoder: 0.1712 (0.1783) labels_encoder_unscaled: 0.1712 (0.1783) time: 0.1391 data: 0.0002 max mem: 1127
Epoch: [4] [1200/1412] eta: 0:00:30 lr: 0.000000 loss: 0.1711 (0.1782) labels_encoder: 0.1711 (0.1782) labels_encoder_unscaled: 0.1711 (0.1782) time: 0.1377 data: 0.0002 max mem: 1127
Epoch: [4] [1250/1412] eta: 0:00:23 lr: 0.000000 loss: 0.1794 (0.1778) labels_encoder: 0.1794 (0.1778) labels_encoder_unscaled: 0.1794 (0.1778) time: 0.1363 data: 0.0002 max mem: 1127
Epoch: [4] [1300/1412] eta: 0:00:15 lr: 0.000000 loss: 0.1663 (0.1775) labels_encoder: 0.1663 (0.1775) labels_encoder_unscaled: 0.1663 (0.1775) time: 0.1404 data: 0.0002 max mem: 1127
Epoch: [4] [1350/1412] eta: 0:00:08 lr: 0.000000 loss: 0.1725 (0.1775) labels_encoder: 0.1725 (0.1775) labels_encoder_unscaled: 0.1725 (0.1775) time: 0.1373 data: 0.0002 max mem: 1127
Epoch: [4] [1400/1412] eta: 0:00:01 lr: 0.000000 loss: 0.1763 (0.1775) labels_encoder: 0.1763 (0.1775) labels_encoder_unscaled: 0.1763 (0.1775) time: 0.1374 data: 0.0004 max mem: 1127
Epoch: [4] [1411/1412] eta: 0:00:00 lr: 0.000000 loss: 0.1826 (0.1775) labels_encoder: 0.1826 (0.1775) labels_encoder_unscaled: 0.1826 (0.1775) time: 0.1250 data: 0.0003 max mem: 1127
Epoch: [4] Total time: 0:03:20 (0.1423 s / it)
Averaged stats: lr: 0.000000 loss: 0.1826 (0.1775) labels_encoder: 0.1826 (0.1775) labels_encoder_unscaled: 0.1826 (0.1775)
Test: [ 0/1613] eta: 0:51:10 loss: 0.3120 (0.3120) labels_encoder: 0.3120 (0.3120) labels_encoder_unscaled: 0.3120 (0.3120) time: 1.9039 data: 1.8419 max mem: 1127
Test: [ 50/1613] eta: 0:02:33 loss: 0.2763 (0.6469) labels_encoder: 0.2763 (0.6469) labels_encoder_unscaled: 0.2763 (0.6469) time: 0.0603 data: 0.0002 max mem: 1127
Test: [ 100/1613] eta: 0:02:00 loss: 0.1547 (0.5039) labels_encoder: 0.1547 (0.5039) labels_encoder_unscaled: 0.1547 (0.5039) time: 0.0621 data: 0.0002 max mem: 1127
Test: [ 150/1613] eta: 0:01:48 loss: 0.4236 (0.4680) labels_encoder: 0.4236 (0.4680) labels_encoder_unscaled: 0.4236 (0.4680) time: 0.0613 data: 0.0012 max mem: 1127
Test: [ 200/1613] eta: 0:01:40 loss: 0.6537 (0.5336) labels_encoder: 0.6537 (0.5336) labels_encoder_unscaled: 0.6537 (0.5336) time: 0.0593 data: 0.0002 max mem: 1127
Test: [ 250/1613] eta: 0:01:33 loss: 0.2670 (0.5708) labels_encoder: 0.2670 (0.5708) labels_encoder_unscaled: 0.2670 (0.5708) time: 0.0570 data: 0.0002 max mem: 1127
Test: [ 300/1613] eta: 0:01:28 loss: 0.3103 (0.5979) labels_encoder: 0.3103 (0.5979) labels_encoder_unscaled: 0.3103 (0.5979) time: 0.0632 data: 0.0002 max mem: 1127
Test: [ 350/1613] eta: 0:01:23 loss: 0.9258 (0.6076) labels_encoder: 0.9258 (0.6076) labels_encoder_unscaled: 0.9258 (0.6076) time: 0.0654 data: 0.0002 max mem: 1127
Test: [ 400/1613] eta: 0:01:19 loss: 0.4775 (0.6857) labels_encoder: 0.4775 (0.6857) labels_encoder_unscaled: 0.4775 (0.6857) time: 0.0638 data: 0.0002 max mem: 1127
Test: [ 450/1613] eta: 0:01:15 loss: 0.4798 (0.7272) labels_encoder: 0.4798 (0.7272) labels_encoder_unscaled: 0.4798 (0.7272) time: 0.0629 data: 0.0002 max mem: 1127
Test: [ 500/1613] eta: 0:01:12 loss: 0.1723 (0.6895) labels_encoder: 0.1723 (0.6895) labels_encoder_unscaled: 0.1723 (0.6895) time: 0.0608 data: 0.0002 max mem: 1127
Test: [ 550/1613] eta: 0:01:08 loss: 0.5516 (0.6999) labels_encoder: 0.5516 (0.6999) labels_encoder_unscaled: 0.5516 (0.6999) time: 0.0600 data: 0.0002 max mem: 1127
Test: [ 600/1613] eta: 0:01:05 loss: 0.8533 (0.7387) labels_encoder: 0.8533 (0.7387) labels_encoder_unscaled: 0.8533 (0.7387) time: 0.0610 data: 0.0002 max mem: 1127
Test: [ 650/1613] eta: 0:01:01 loss: 0.5526 (0.7226) labels_encoder: 0.5526 (0.7226) labels_encoder_unscaled: 0.5526 (0.7226) time: 0.0621 data: 0.0002 max mem: 1127
Test: [ 700/1613] eta: 0:00:58 loss: 0.2969 (0.7054) labels_encoder: 0.2969 (0.7054) labels_encoder_unscaled: 0.2969 (0.7054) time: 0.0574 data: 0.0002 max mem: 1127
Test: [ 750/1613] eta: 0:00:54 loss: 0.3577 (0.6879) labels_encoder: 0.3577 (0.6879) labels_encoder_unscaled: 0.3577 (0.6879) time: 0.0599 data: 0.0002 max mem: 1127
Test: [ 800/1613] eta: 0:00:51 loss: 0.4368 (0.6867) labels_encoder: 0.4368 (0.6867) labels_encoder_unscaled: 0.4368 (0.6867) time: 0.0612 data: 0.0003 max mem: 1127
Test: [ 850/1613] eta: 0:00:48 loss: 1.1655 (0.6926) labels_encoder: 1.1655 (0.6926) labels_encoder_unscaled: 1.1655 (0.6926) time: 0.0592 data: 0.0002 max mem: 1127
Test: [ 900/1613] eta: 0:00:45 loss: 0.4897 (0.7001) labels_encoder: 0.4897 (0.7001) labels_encoder_unscaled: 0.4897 (0.7001) time: 0.0635 data: 0.0002 max mem: 1127
Test: [ 950/1613] eta: 0:00:41 loss: 0.3858 (0.6903) labels_encoder: 0.3858 (0.6903) labels_encoder_unscaled: 0.3858 (0.6903) time: 0.0623 data: 0.0002 max mem: 1127
Test: [1000/1613] eta: 0:00:38 loss: 0.2729 (0.6774) labels_encoder: 0.2729 (0.6774) labels_encoder_unscaled: 0.2729 (0.6774) time: 0.0642 data: 0.0003 max mem: 1127
Test: [1050/1613] eta: 0:00:35 loss: 0.5312 (0.6722) labels_encoder: 0.5312 (0.6722) labels_encoder_unscaled: 0.5312 (0.6722) time: 0.0653 data: 0.0002 max mem: 1127
Test: [1100/1613] eta: 0:00:32 loss: 0.4808 (0.6765) labels_encoder: 0.4808 (0.6765) labels_encoder_unscaled: 0.4808 (0.6765) time: 0.0610 data: 0.0003 max mem: 1127
Test: [1150/1613] eta: 0:00:29 loss: 0.3873 (0.6684) labels_encoder: 0.3873 (0.6684) labels_encoder_unscaled: 0.3873 (0.6684) time: 0.0591 data: 0.0002 max mem: 1127
Test: [1200/1613] eta: 0:00:25 loss: 0.3201 (0.6703) labels_encoder: 0.3201 (0.6703) labels_encoder_unscaled: 0.3201 (0.6703) time: 0.0593 data: 0.0003 max mem: 1127
Test: [1250/1613] eta: 0:00:22 loss: 0.2826 (0.6733) labels_encoder: 0.2826 (0.6733) labels_encoder_unscaled: 0.2826 (0.6733) time: 0.0608 data: 0.0002 max mem: 1127
Test: [1300/1613] eta: 0:00:19 loss: 0.3372 (0.6691) labels_encoder: 0.3372 (0.6691) labels_encoder_unscaled: 0.3372 (0.6691) time: 0.0574 data: 0.0002 max mem: 1127
Test: [1350/1613] eta: 0:00:16 loss: 0.4391 (0.6760) labels_encoder: 0.4391 (0.6760) labels_encoder_unscaled: 0.4391 (0.6760) time: 0.0642 data: 0.0002 max mem: 1127
Test: [1400/1613] eta: 0:00:13 loss: 0.6353 (0.6734) labels_encoder: 0.6353 (0.6734) labels_encoder_unscaled: 0.6353 (0.6734) time: 0.0629 data: 0.0002 max mem: 1127
Test: [1450/1613] eta: 0:00:10 loss: 0.2967 (0.6858) labels_encoder: 0.2967 (0.6858) labels_encoder_unscaled: 0.2967 (0.6858) time: 0.0642 data: 0.0003 max mem: 1127
Test: [1500/1613] eta: 0:00:07 loss: 0.5333 (0.6968) labels_encoder: 0.5333 (0.6968) labels_encoder_unscaled: 0.5333 (0.6968) time: 0.0635 data: 0.0002 max mem: 1127
Test: [1550/1613] eta: 0:00:03 loss: 0.5509 (0.6957) labels_encoder: 0.5509 (0.6957) labels_encoder_unscaled: 0.5509 (0.6957) time: 0.0616 data: 0.0002 max mem: 1127
Test: [1600/1613] eta: 0:00:00 loss: 0.6753 (0.6916) labels_encoder: 0.6753 (0.6916) labels_encoder_unscaled: 0.6753 (0.6916) time: 0.0586 data: 0.0002 max mem: 1127
Test: [1612/1613] eta: 0:00:00 loss: 0.5825 (0.6913) labels_encoder: 0.5825 (0.6913) labels_encoder_unscaled: 0.5825 (0.6913) time: 0.0425 data: 0.0001 max mem: 1127
Test: Total time: 0:01:41 (0.0628 s / it)
Averaged stats: loss: 0.5825 (0.6913) labels_encoder: 0.5825 (0.6913) labels_encoder_unscaled: 0.5825 (0.6913)
(21, 206375)
(21, 206375)
[Epoch-4] [IDU-anet] mAP: 0.5551, mcAP: 0.9738
BaseballPitch: 0.2750
BasketballDunk: 0.7395
Billiards: 0.3904
CleanAndJerk: 0.7480
CliffDiving: 0.8153
CricketBowling: 0.3667
CricketShot: 0.1638
Diving: 0.6887
FrisbeeCatch: 0.3146
GolfSwing: 0.4848
HammerThrow: 0.8479
HighJump: 0.5620
JavelinThrow: 0.6935
LongJump: 0.7855
PoleVault: 0.8430
Shotput: 0.6530
SoccerPenalty: 0.3360
TennisSwing: 0.5039
ThrowDiscus: 0.6126
VolleyballSpiking: 0.2780
Training time 0:20:12