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oadtr_b2_recycling_learned_64_seed2_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:64
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:2
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, 99.521% Params, 0.411 GMac, 100.000% MACs,
(0): Linear(3.147 M, 19.876% 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, 64, 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, 79.503% Params, 0.408 GMac, 99.229% MACs,
(0): Sequential(
6.294 M, 39.752% Params, 0.205 GMac, 49.932% MACs,
(0): BroadcastReduce(
4.194 M, 26.492% 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, 26.492% 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, 13.259% 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, 13.259% Params, 0.134 GMac, 32.709% MACs,
(fn): Sequential(
2.099 M, 13.259% Params, 0.134 GMac, 32.709% MACs,
(0): Linear(1.05 M, 6.630% 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, 6.630% 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, 39.752% Params, 0.203 GMac, 49.296% MACs,
(0): BroadcastReduce(
4.194 M, 26.492% 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, 26.492% 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, 13.259% 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, 13.259% Params, 0.0 GMac, 0.017% MACs,
(0): Linear(1.05 M, 6.630% 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, 6.630% 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: 15832086
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] [ 0/1405] eta: 1:03:16 lr: 0.000100 loss: 3.1903 (3.1903) labels_encoder: 3.1903 (3.1903) labels_encoder_unscaled: 3.1903 (3.1903) time: 2.7020 data: 2.1393 max mem: 945
Epoch: [1] [ 50/1405] eta: 0:04:19 lr: 0.000100 loss: 0.6096 (0.9474) labels_encoder: 0.6096 (0.9474) labels_encoder_unscaled: 0.6096 (0.9474) time: 0.1407 data: 0.0002 max mem: 1126
Epoch: [1] [ 100/1405] eta: 0:03:33 lr: 0.000100 loss: 0.5840 (0.7887) labels_encoder: 0.5840 (0.7887) labels_encoder_unscaled: 0.5840 (0.7887) time: 0.1335 data: 0.0002 max mem: 1126
Epoch: [1] [ 150/1405] eta: 0:03:13 lr: 0.000100 loss: 0.5114 (0.7008) labels_encoder: 0.5114 (0.7008) labels_encoder_unscaled: 0.5114 (0.7008) time: 0.1335 data: 0.0002 max mem: 1126
Epoch: [1] [ 200/1405] eta: 0:03:01 lr: 0.000100 loss: 0.4637 (0.6519) labels_encoder: 0.4637 (0.6519) labels_encoder_unscaled: 0.4637 (0.6519) time: 0.1414 data: 0.0002 max mem: 1126
Epoch: [1] [ 250/1405] eta: 0:02:51 lr: 0.000100 loss: 0.4403 (0.6166) labels_encoder: 0.4403 (0.6166) labels_encoder_unscaled: 0.4403 (0.6166) time: 0.1399 data: 0.0002 max mem: 1126
Epoch: [1] [ 300/1405] eta: 0:02:42 lr: 0.000100 loss: 0.4225 (0.5889) labels_encoder: 0.4225 (0.5889) labels_encoder_unscaled: 0.4225 (0.5889) time: 0.1415 data: 0.0003 max mem: 1126
Epoch: [1] [ 350/1405] eta: 0:02:33 lr: 0.000100 loss: 0.4080 (0.5667) labels_encoder: 0.4080 (0.5667) labels_encoder_unscaled: 0.4080 (0.5667) time: 0.1393 data: 0.0002 max mem: 1126
Epoch: [1] [ 400/1405] eta: 0:02:25 lr: 0.000100 loss: 0.3852 (0.5507) labels_encoder: 0.3852 (0.5507) labels_encoder_unscaled: 0.3852 (0.5507) time: 0.1360 data: 0.0002 max mem: 1126
Epoch: [1] [ 450/1405] eta: 0:02:17 lr: 0.000100 loss: 0.4017 (0.5332) labels_encoder: 0.4017 (0.5332) labels_encoder_unscaled: 0.4017 (0.5332) time: 0.1382 data: 0.0002 max mem: 1126
Epoch: [1] [ 500/1405] eta: 0:02:09 lr: 0.000100 loss: 0.3677 (0.5193) labels_encoder: 0.3677 (0.5193) labels_encoder_unscaled: 0.3677 (0.5193) time: 0.1331 data: 0.0002 max mem: 1126
Epoch: [1] [ 550/1405] eta: 0:02:01 lr: 0.000100 loss: 0.3358 (0.5044) labels_encoder: 0.3358 (0.5044) labels_encoder_unscaled: 0.3358 (0.5044) time: 0.1368 data: 0.0002 max mem: 1126
Epoch: [1] [ 600/1405] eta: 0:01:54 lr: 0.000100 loss: 0.3447 (0.4925) labels_encoder: 0.3447 (0.4925) labels_encoder_unscaled: 0.3447 (0.4925) time: 0.1360 data: 0.0002 max mem: 1126
Epoch: [1] [ 650/1405] eta: 0:01:46 lr: 0.000100 loss: 0.3366 (0.4821) labels_encoder: 0.3366 (0.4821) labels_encoder_unscaled: 0.3366 (0.4821) time: 0.1312 data: 0.0002 max mem: 1126
Epoch: [1] [ 700/1405] eta: 0:01:39 lr: 0.000100 loss: 0.3423 (0.4718) labels_encoder: 0.3423 (0.4718) labels_encoder_unscaled: 0.3423 (0.4718) time: 0.1343 data: 0.0002 max mem: 1126
Epoch: [1] [ 750/1405] eta: 0:01:32 lr: 0.000100 loss: 0.3688 (0.4652) labels_encoder: 0.3688 (0.4652) labels_encoder_unscaled: 0.3688 (0.4652) time: 0.1359 data: 0.0002 max mem: 1126
Epoch: [1] [ 800/1405] eta: 0:01:24 lr: 0.000100 loss: 0.3074 (0.4574) labels_encoder: 0.3074 (0.4574) labels_encoder_unscaled: 0.3074 (0.4574) time: 0.1370 data: 0.0002 max mem: 1126
Epoch: [1] [ 850/1405] eta: 0:01:17 lr: 0.000100 loss: 0.3422 (0.4497) labels_encoder: 0.3422 (0.4497) labels_encoder_unscaled: 0.3422 (0.4497) time: 0.1340 data: 0.0002 max mem: 1126
Epoch: [1] [ 900/1405] eta: 0:01:10 lr: 0.000100 loss: 0.3105 (0.4421) labels_encoder: 0.3105 (0.4421) labels_encoder_unscaled: 0.3105 (0.4421) time: 0.1349 data: 0.0003 max mem: 1126
Epoch: [1] [ 950/1405] eta: 0:01:03 lr: 0.000100 loss: 0.3544 (0.4362) labels_encoder: 0.3544 (0.4362) labels_encoder_unscaled: 0.3544 (0.4362) time: 0.1367 data: 0.0007 max mem: 1126
Epoch: [1] [1000/1405] eta: 0:00:56 lr: 0.000100 loss: 0.2794 (0.4291) labels_encoder: 0.2794 (0.4291) labels_encoder_unscaled: 0.2794 (0.4291) time: 0.1369 data: 0.0002 max mem: 1126
Epoch: [1] [1050/1405] eta: 0:00:49 lr: 0.000100 loss: 0.2785 (0.4230) labels_encoder: 0.2785 (0.4230) labels_encoder_unscaled: 0.2785 (0.4230) time: 0.1348 data: 0.0002 max mem: 1126
Epoch: [1] [1100/1405] eta: 0:00:42 lr: 0.000100 loss: 0.2665 (0.4168) labels_encoder: 0.2665 (0.4168) labels_encoder_unscaled: 0.2665 (0.4168) time: 0.1357 data: 0.0002 max mem: 1126
Epoch: [1] [1150/1405] eta: 0:00:35 lr: 0.000100 loss: 0.2753 (0.4110) labels_encoder: 0.2753 (0.4110) labels_encoder_unscaled: 0.2753 (0.4110) time: 0.1384 data: 0.0002 max mem: 1126
Epoch: [1] [1200/1405] eta: 0:00:28 lr: 0.000100 loss: 0.2436 (0.4047) labels_encoder: 0.2436 (0.4047) labels_encoder_unscaled: 0.2436 (0.4047) time: 0.1332 data: 0.0002 max mem: 1126
Epoch: [1] [1250/1405] eta: 0:00:21 lr: 0.000100 loss: 0.2562 (0.3992) labels_encoder: 0.2562 (0.3992) labels_encoder_unscaled: 0.2562 (0.3992) time: 0.1393 data: 0.0002 max mem: 1126
Epoch: [1] [1300/1405] eta: 0:00:14 lr: 0.000100 loss: 0.3042 (0.3948) labels_encoder: 0.3042 (0.3948) labels_encoder_unscaled: 0.3042 (0.3948) time: 0.1308 data: 0.0002 max mem: 1126
Epoch: [1] [1350/1405] eta: 0:00:07 lr: 0.000100 loss: 0.2629 (0.3903) labels_encoder: 0.2629 (0.3903) labels_encoder_unscaled: 0.2629 (0.3903) time: 0.1346 data: 0.0002 max mem: 1126
Epoch: [1] [1400/1405] eta: 0:00:00 lr: 0.000100 loss: 0.3058 (0.3860) labels_encoder: 0.3058 (0.3860) labels_encoder_unscaled: 0.3058 (0.3860) time: 0.1263 data: 0.0003 max mem: 1126
Epoch: [1] [1404/1405] eta: 0:00:00 lr: 0.000100 loss: 0.2669 (0.3857) labels_encoder: 0.2669 (0.3857) labels_encoder_unscaled: 0.2669 (0.3857) time: 0.1235 data: 0.0003 max mem: 1126
Epoch: [1] Total time: 0:03:14 (0.1382 s / it)
Averaged stats: lr: 0.000100 loss: 0.2669 (0.3857) labels_encoder: 0.2669 (0.3857) labels_encoder_unscaled: 0.2669 (0.3857)
Test: [ 0/1613] eta: 0:40:39 loss: 0.2041 (0.2041) labels_encoder: 0.2041 (0.2041) labels_encoder_unscaled: 0.2041 (0.2041) time: 1.5122 data: 1.4376 max mem: 1126
Test: [ 50/1613] eta: 0:02:24 loss: 0.2396 (0.5173) labels_encoder: 0.2396 (0.5173) labels_encoder_unscaled: 0.2396 (0.5173) time: 0.0593 data: 0.0002 max mem: 1126
Test: [ 100/1613] eta: 0:02:00 loss: 0.1726 (0.4725) labels_encoder: 0.1726 (0.4725) labels_encoder_unscaled: 0.1726 (0.4725) time: 0.0815 data: 0.0181 max mem: 1126
Test: [ 150/1613] eta: 0:01:45 loss: 0.5786 (0.4798) labels_encoder: 0.5786 (0.4798) labels_encoder_unscaled: 0.5786 (0.4798) time: 0.0577 data: 0.0002 max mem: 1126
Test: [ 200/1613] eta: 0:01:37 loss: 0.8723 (0.5792) labels_encoder: 0.8723 (0.5792) labels_encoder_unscaled: 0.8723 (0.5792) time: 0.0613 data: 0.0014 max mem: 1126
Test: [ 250/1613] eta: 0:01:32 loss: 0.3839 (0.6123) labels_encoder: 0.3839 (0.6123) labels_encoder_unscaled: 0.3839 (0.6123) time: 0.0589 data: 0.0002 max mem: 1126
Test: [ 300/1613] eta: 0:01:27 loss: 0.2960 (0.6106) labels_encoder: 0.2960 (0.6106) labels_encoder_unscaled: 0.2960 (0.6106) time: 0.0612 data: 0.0002 max mem: 1126
Test: [ 350/1613] eta: 0:01:21 loss: 0.9681 (0.6228) labels_encoder: 0.9681 (0.6228) labels_encoder_unscaled: 0.9681 (0.6228) time: 0.0538 data: 0.0002 max mem: 1126
Test: [ 400/1613] eta: 0:01:17 loss: 0.3985 (0.6903) labels_encoder: 0.3985 (0.6903) labels_encoder_unscaled: 0.3985 (0.6903) time: 0.0551 data: 0.0002 max mem: 1126
Test: [ 450/1613] eta: 0:01:13 loss: 0.6003 (0.7324) labels_encoder: 0.6003 (0.7324) labels_encoder_unscaled: 0.6003 (0.7324) time: 0.0546 data: 0.0003 max mem: 1126
Test: [ 500/1613] eta: 0:01:10 loss: 0.1858 (0.6919) labels_encoder: 0.1858 (0.6919) labels_encoder_unscaled: 0.1858 (0.6919) time: 0.0623 data: 0.0002 max mem: 1126
Test: [ 550/1613] eta: 0:01:06 loss: 0.3784 (0.6821) labels_encoder: 0.3784 (0.6821) labels_encoder_unscaled: 0.3784 (0.6821) time: 0.0591 data: 0.0002 max mem: 1126
Test: [ 600/1613] eta: 0:01:03 loss: 0.3505 (0.7145) labels_encoder: 0.3505 (0.7145) labels_encoder_unscaled: 0.3505 (0.7145) time: 0.0561 data: 0.0002 max mem: 1126
Test: [ 650/1613] eta: 0:00:59 loss: 0.3772 (0.7068) labels_encoder: 0.3772 (0.7068) labels_encoder_unscaled: 0.3772 (0.7068) time: 0.0554 data: 0.0002 max mem: 1126
Test: [ 700/1613] eta: 0:00:56 loss: 0.3118 (0.6929) labels_encoder: 0.3118 (0.6929) labels_encoder_unscaled: 0.3118 (0.6929) time: 0.0601 data: 0.0002 max mem: 1126
Test: [ 750/1613] eta: 0:00:53 loss: 0.2901 (0.6797) labels_encoder: 0.2901 (0.6797) labels_encoder_unscaled: 0.2901 (0.6797) time: 0.0551 data: 0.0007 max mem: 1126
Test: [ 800/1613] eta: 0:00:49 loss: 0.5101 (0.6831) labels_encoder: 0.5101 (0.6831) labels_encoder_unscaled: 0.5101 (0.6831) time: 0.0591 data: 0.0002 max mem: 1126
Test: [ 850/1613] eta: 0:00:46 loss: 0.8155 (0.6828) labels_encoder: 0.8155 (0.6828) labels_encoder_unscaled: 0.8155 (0.6828) time: 0.0587 data: 0.0002 max mem: 1126
Test: [ 900/1613] eta: 0:00:43 loss: 0.5078 (0.6860) labels_encoder: 0.5078 (0.6860) labels_encoder_unscaled: 0.5078 (0.6860) time: 0.0494 data: 0.0002 max mem: 1126
Test: [ 950/1613] eta: 0:00:40 loss: 0.6378 (0.6858) labels_encoder: 0.6378 (0.6858) labels_encoder_unscaled: 0.6378 (0.6858) time: 0.0544 data: 0.0002 max mem: 1126
Test: [1000/1613] eta: 0:00:37 loss: 0.3656 (0.6824) labels_encoder: 0.3656 (0.6824) labels_encoder_unscaled: 0.3656 (0.6824) time: 0.0600 data: 0.0002 max mem: 1126
Test: [1050/1613] eta: 0:00:34 loss: 0.7142 (0.6874) labels_encoder: 0.7142 (0.6874) labels_encoder_unscaled: 0.7142 (0.6874) time: 0.0569 data: 0.0002 max mem: 1126
Test: [1100/1613] eta: 0:00:31 loss: 0.2854 (0.6793) labels_encoder: 0.2854 (0.6793) labels_encoder_unscaled: 0.2854 (0.6793) time: 0.0624 data: 0.0002 max mem: 1126
Test: [1150/1613] eta: 0:00:28 loss: 0.5684 (0.6727) labels_encoder: 0.5684 (0.6727) labels_encoder_unscaled: 0.5684 (0.6727) time: 0.0604 data: 0.0002 max mem: 1126
Test: [1200/1613] eta: 0:00:24 loss: 0.3706 (0.6757) labels_encoder: 0.3706 (0.6757) labels_encoder_unscaled: 0.3706 (0.6757) time: 0.0555 data: 0.0002 max mem: 1126
Test: [1250/1613] eta: 0:00:21 loss: 0.1934 (0.6762) labels_encoder: 0.1934 (0.6762) labels_encoder_unscaled: 0.1934 (0.6762) time: 0.0531 data: 0.0002 max mem: 1126
Test: [1300/1613] eta: 0:00:18 loss: 0.2653 (0.6663) labels_encoder: 0.2653 (0.6663) labels_encoder_unscaled: 0.2653 (0.6663) time: 0.0639 data: 0.0002 max mem: 1126
Test: [1350/1613] eta: 0:00:15 loss: 0.6063 (0.6662) labels_encoder: 0.6063 (0.6662) labels_encoder_unscaled: 0.6063 (0.6662) time: 0.0610 data: 0.0002 max mem: 1126
Test: [1400/1613] eta: 0:00:12 loss: 0.6773 (0.6660) labels_encoder: 0.6773 (0.6660) labels_encoder_unscaled: 0.6773 (0.6660) time: 0.0650 data: 0.0002 max mem: 1126
Test: [1450/1613] eta: 0:00:09 loss: 0.3554 (0.6741) labels_encoder: 0.3554 (0.6741) labels_encoder_unscaled: 0.3554 (0.6741) time: 0.0594 data: 0.0002 max mem: 1126
Test: [1500/1613] eta: 0:00:06 loss: 0.6028 (0.6911) labels_encoder: 0.6028 (0.6911) labels_encoder_unscaled: 0.6028 (0.6911) time: 0.0591 data: 0.0014 max mem: 1126
Test: [1550/1613] eta: 0:00:03 loss: 0.5919 (0.6894) labels_encoder: 0.5919 (0.6894) labels_encoder_unscaled: 0.5919 (0.6894) time: 0.0586 data: 0.0002 max mem: 1126
Test: [1600/1613] eta: 0:00:00 loss: 0.4780 (0.6854) labels_encoder: 0.4780 (0.6854) labels_encoder_unscaled: 0.4780 (0.6854) time: 0.0610 data: 0.0002 max mem: 1126
Test: [1612/1613] eta: 0:00:00 loss: 0.2839 (0.6836) labels_encoder: 0.2839 (0.6836) labels_encoder_unscaled: 0.2839 (0.6836) time: 0.0451 data: 0.0001 max mem: 1126
Test: Total time: 0:01:37 (0.0603 s / it)
Averaged stats: loss: 0.2839 (0.6836) labels_encoder: 0.2839 (0.6836) labels_encoder_unscaled: 0.2839 (0.6836)
(21, 206375)
(21, 206375)
[Epoch-1] [IDU-anet] mAP: 0.5555, mcAP: 0.9749
BaseballPitch: 0.1677
BasketballDunk: 0.7353
Billiards: 0.3722
CleanAndJerk: 0.7699
CliffDiving: 0.8350
CricketBowling: 0.3927
CricketShot: 0.1610
Diving: 0.7004
FrisbeeCatch: 0.3913
GolfSwing: 0.4935
HammerThrow: 0.8395
HighJump: 0.5596
JavelinThrow: 0.6891
LongJump: 0.7917
PoleVault: 0.8605
Shotput: 0.6546
SoccerPenalty: 0.2783
TennisSwing: 0.4791
ThrowDiscus: 0.6575
VolleyballSpiking: 0.2819
Epoch: [2] [ 0/1405] eta: 0:41:27 lr: 0.000010 loss: 0.2536 (0.2536) labels_encoder: 0.2536 (0.2536) labels_encoder_unscaled: 0.2536 (0.2536) time: 1.7702 data: 1.5662 max mem: 1126
Epoch: [2] [ 50/1405] eta: 0:03:55 lr: 0.000010 loss: 0.2143 (0.2330) labels_encoder: 0.2143 (0.2330) labels_encoder_unscaled: 0.2143 (0.2330) time: 0.1440 data: 0.0002 max mem: 1126
Epoch: [2] [ 100/1405] eta: 0:03:23 lr: 0.000010 loss: 0.2365 (0.2315) labels_encoder: 0.2365 (0.2315) labels_encoder_unscaled: 0.2365 (0.2315) time: 0.1379 data: 0.0002 max mem: 1126
Epoch: [2] [ 150/1405] eta: 0:03:07 lr: 0.000010 loss: 0.2056 (0.2257) labels_encoder: 0.2056 (0.2257) labels_encoder_unscaled: 0.2056 (0.2257) time: 0.1382 data: 0.0002 max mem: 1126
Epoch: [2] [ 200/1405] eta: 0:02:57 lr: 0.000010 loss: 0.1905 (0.2197) labels_encoder: 0.1905 (0.2197) labels_encoder_unscaled: 0.1905 (0.2197) time: 0.1397 data: 0.0002 max mem: 1126
Epoch: [2] [ 250/1405] eta: 0:02:48 lr: 0.000010 loss: 0.1938 (0.2175) labels_encoder: 0.1938 (0.2175) labels_encoder_unscaled: 0.1938 (0.2175) time: 0.1393 data: 0.0002 max mem: 1126
Epoch: [2] [ 300/1405] eta: 0:02:39 lr: 0.000010 loss: 0.1970 (0.2152) labels_encoder: 0.1970 (0.2152) labels_encoder_unscaled: 0.1970 (0.2152) time: 0.1357 data: 0.0002 max mem: 1126
Epoch: [2] [ 350/1405] eta: 0:02:31 lr: 0.000010 loss: 0.1814 (0.2128) labels_encoder: 0.1814 (0.2128) labels_encoder_unscaled: 0.1814 (0.2128) time: 0.1369 data: 0.0002 max mem: 1126
Epoch: [2] [ 400/1405] eta: 0:02:23 lr: 0.000010 loss: 0.1905 (0.2104) labels_encoder: 0.1905 (0.2104) labels_encoder_unscaled: 0.1905 (0.2104) time: 0.1414 data: 0.0002 max mem: 1126
Epoch: [2] [ 450/1405] eta: 0:02:15 lr: 0.000010 loss: 0.2236 (0.2098) labels_encoder: 0.2236 (0.2098) labels_encoder_unscaled: 0.2236 (0.2098) time: 0.1294 data: 0.0002 max mem: 1126
Epoch: [2] [ 500/1405] eta: 0:02:08 lr: 0.000010 loss: 0.1966 (0.2084) labels_encoder: 0.1966 (0.2084) labels_encoder_unscaled: 0.1966 (0.2084) time: 0.1455 data: 0.0002 max mem: 1126
Epoch: [2] [ 550/1405] eta: 0:02:00 lr: 0.000010 loss: 0.1932 (0.2078) labels_encoder: 0.1932 (0.2078) labels_encoder_unscaled: 0.1932 (0.2078) time: 0.1327 data: 0.0002 max mem: 1126
Epoch: [2] [ 600/1405] eta: 0:01:53 lr: 0.000010 loss: 0.1784 (0.2066) labels_encoder: 0.1784 (0.2066) labels_encoder_unscaled: 0.1784 (0.2066) time: 0.1366 data: 0.0002 max mem: 1126
Epoch: [2] [ 650/1405] eta: 0:01:46 lr: 0.000010 loss: 0.1886 (0.2056) labels_encoder: 0.1886 (0.2056) labels_encoder_unscaled: 0.1886 (0.2056) time: 0.1385 data: 0.0002 max mem: 1126
Epoch: [2] [ 700/1405] eta: 0:01:38 lr: 0.000010 loss: 0.2042 (0.2052) labels_encoder: 0.2042 (0.2052) labels_encoder_unscaled: 0.2042 (0.2052) time: 0.1367 data: 0.0002 max mem: 1126
Epoch: [2] [ 750/1405] eta: 0:01:31 lr: 0.000010 loss: 0.1688 (0.2049) labels_encoder: 0.1688 (0.2049) labels_encoder_unscaled: 0.1688 (0.2049) time: 0.1355 data: 0.0002 max mem: 1126
Epoch: [2] [ 800/1405] eta: 0:01:24 lr: 0.000010 loss: 0.2019 (0.2044) labels_encoder: 0.2019 (0.2044) labels_encoder_unscaled: 0.2019 (0.2044) time: 0.1379 data: 0.0002 max mem: 1126
Epoch: [2] [ 850/1405] eta: 0:01:17 lr: 0.000010 loss: 0.1874 (0.2044) labels_encoder: 0.1874 (0.2044) labels_encoder_unscaled: 0.1874 (0.2044) time: 0.1340 data: 0.0002 max mem: 1126
Epoch: [2] [ 900/1405] eta: 0:01:10 lr: 0.000010 loss: 0.1865 (0.2037) labels_encoder: 0.1865 (0.2037) labels_encoder_unscaled: 0.1865 (0.2037) time: 0.1382 data: 0.0002 max mem: 1126
Epoch: [2] [ 950/1405] eta: 0:01:03 lr: 0.000010 loss: 0.1910 (0.2031) labels_encoder: 0.1910 (0.2031) labels_encoder_unscaled: 0.1910 (0.2031) time: 0.1325 data: 0.0002 max mem: 1126
Epoch: [2] [1000/1405] eta: 0:00:56 lr: 0.000010 loss: 0.1944 (0.2023) labels_encoder: 0.1944 (0.2023) labels_encoder_unscaled: 0.1944 (0.2023) time: 0.1347 data: 0.0002 max mem: 1126
Epoch: [2] [1050/1405] eta: 0:00:49 lr: 0.000010 loss: 0.2083 (0.2020) labels_encoder: 0.2083 (0.2020) labels_encoder_unscaled: 0.2083 (0.2020) time: 0.1365 data: 0.0002 max mem: 1126
Epoch: [2] [1100/1405] eta: 0:00:42 lr: 0.000010 loss: 0.1881 (0.2014) labels_encoder: 0.1881 (0.2014) labels_encoder_unscaled: 0.1881 (0.2014) time: 0.1395 data: 0.0002 max mem: 1126
Epoch: [2] [1150/1405] eta: 0:00:35 lr: 0.000010 loss: 0.1666 (0.2006) labels_encoder: 0.1666 (0.2006) labels_encoder_unscaled: 0.1666 (0.2006) time: 0.1383 data: 0.0011 max mem: 1126
Epoch: [2] [1200/1405] eta: 0:00:28 lr: 0.000010 loss: 0.2041 (0.2005) labels_encoder: 0.2041 (0.2005) labels_encoder_unscaled: 0.2041 (0.2005) time: 0.1306 data: 0.0002 max mem: 1126
Epoch: [2] [1250/1405] eta: 0:00:21 lr: 0.000010 loss: 0.1791 (0.2001) labels_encoder: 0.1791 (0.2001) labels_encoder_unscaled: 0.1791 (0.2001) time: 0.1355 data: 0.0002 max mem: 1126
Epoch: [2] [1300/1405] eta: 0:00:14 lr: 0.000010 loss: 0.1810 (0.1997) labels_encoder: 0.1810 (0.1997) labels_encoder_unscaled: 0.1810 (0.1997) time: 0.1380 data: 0.0002 max mem: 1126
Epoch: [2] [1350/1405] eta: 0:00:07 lr: 0.000010 loss: 0.1859 (0.1994) labels_encoder: 0.1859 (0.1994) labels_encoder_unscaled: 0.1859 (0.1994) time: 0.1373 data: 0.0002 max mem: 1126
Epoch: [2] [1400/1405] eta: 0:00:00 lr: 0.000010 loss: 0.1765 (0.1989) labels_encoder: 0.1765 (0.1989) labels_encoder_unscaled: 0.1765 (0.1989) time: 0.1198 data: 0.0003 max mem: 1126
Epoch: [2] [1404/1405] eta: 0:00:00 lr: 0.000010 loss: 0.1840 (0.1990) labels_encoder: 0.1840 (0.1990) labels_encoder_unscaled: 0.1840 (0.1990) time: 0.1172 data: 0.0003 max mem: 1126
Epoch: [2] Total time: 0:03:13 (0.1375 s / it)
Averaged stats: lr: 0.000010 loss: 0.1840 (0.1990) labels_encoder: 0.1840 (0.1990) labels_encoder_unscaled: 0.1840 (0.1990)
Test: [ 0/1613] eta: 0:43:47 loss: 0.7071 (0.7071) labels_encoder: 0.7071 (0.7071) labels_encoder_unscaled: 0.7071 (0.7071) time: 1.6287 data: 1.5650 max mem: 1126
Test: [ 50/1613] eta: 0:02:28 loss: 0.2789 (0.6509) labels_encoder: 0.2789 (0.6509) labels_encoder_unscaled: 0.2789 (0.6509) time: 0.0558 data: 0.0002 max mem: 1126
Test: [ 100/1613] eta: 0:01:54 loss: 0.1499 (0.5082) labels_encoder: 0.1499 (0.5082) labels_encoder_unscaled: 0.1499 (0.5082) time: 0.0514 data: 0.0002 max mem: 1126
Test: [ 150/1613] eta: 0:01:36 loss: 0.3417 (0.4694) labels_encoder: 0.3417 (0.4694) labels_encoder_unscaled: 0.3417 (0.4694) time: 0.0479 data: 0.0002 max mem: 1126
Test: [ 200/1613] eta: 0:01:29 loss: 0.6655 (0.5443) labels_encoder: 0.6655 (0.5443) labels_encoder_unscaled: 0.6655 (0.5443) time: 0.0519 data: 0.0002 max mem: 1126
Test: [ 250/1613] eta: 0:01:21 loss: 0.3303 (0.5790) labels_encoder: 0.3303 (0.5790) labels_encoder_unscaled: 0.3303 (0.5790) time: 0.0503 data: 0.0002 max mem: 1126
Test: [ 300/1613] eta: 0:01:16 loss: 0.3802 (0.6049) labels_encoder: 0.3802 (0.6049) labels_encoder_unscaled: 0.3802 (0.6049) time: 0.0525 data: 0.0002 max mem: 1126
Test: [ 350/1613] eta: 0:01:12 loss: 0.8842 (0.6109) labels_encoder: 0.8842 (0.6109) labels_encoder_unscaled: 0.8842 (0.6109) time: 0.0527 data: 0.0002 max mem: 1126
Test: [ 400/1613] eta: 0:01:10 loss: 0.3841 (0.6901) labels_encoder: 0.3841 (0.6901) labels_encoder_unscaled: 0.3841 (0.6901) time: 0.0626 data: 0.0002 max mem: 1126
Test: [ 450/1613] eta: 0:01:07 loss: 0.5560 (0.7309) labels_encoder: 0.5560 (0.7309) labels_encoder_unscaled: 0.5560 (0.7309) time: 0.0611 data: 0.0002 max mem: 1126
Test: [ 500/1613] eta: 0:01:04 loss: 0.1974 (0.6916) labels_encoder: 0.1974 (0.6916) labels_encoder_unscaled: 0.1974 (0.6916) time: 0.0517 data: 0.0002 max mem: 1126
Test: [ 550/1613] eta: 0:01:01 loss: 0.4709 (0.6902) labels_encoder: 0.4709 (0.6902) labels_encoder_unscaled: 0.4709 (0.6902) time: 0.0558 data: 0.0002 max mem: 1126
Test: [ 600/1613] eta: 0:00:57 loss: 0.5722 (0.7162) labels_encoder: 0.5722 (0.7162) labels_encoder_unscaled: 0.5722 (0.7162) time: 0.0555 data: 0.0002 max mem: 1126
Test: [ 650/1613] eta: 0:00:54 loss: 0.5341 (0.7032) labels_encoder: 0.5341 (0.7032) labels_encoder_unscaled: 0.5341 (0.7032) time: 0.0540 data: 0.0002 max mem: 1126
Test: [ 700/1613] eta: 0:00:51 loss: 0.3356 (0.6896) labels_encoder: 0.3356 (0.6896) labels_encoder_unscaled: 0.3356 (0.6896) time: 0.0589 data: 0.0002 max mem: 1126
Test: [ 750/1613] eta: 0:00:49 loss: 0.3586 (0.6716) labels_encoder: 0.3586 (0.6716) labels_encoder_unscaled: 0.3586 (0.6716) time: 0.0617 data: 0.0002 max mem: 1126
Test: [ 800/1613] eta: 0:00:46 loss: 0.3881 (0.6741) labels_encoder: 0.3881 (0.6741) labels_encoder_unscaled: 0.3881 (0.6741) time: 0.0540 data: 0.0002 max mem: 1126
Test: [ 850/1613] eta: 0:00:43 loss: 1.0072 (0.6785) labels_encoder: 1.0072 (0.6785) labels_encoder_unscaled: 1.0072 (0.6785) time: 0.0522 data: 0.0002 max mem: 1126
Test: [ 900/1613] eta: 0:00:40 loss: 0.3940 (0.6928) labels_encoder: 0.3940 (0.6928) labels_encoder_unscaled: 0.3940 (0.6928) time: 0.0582 data: 0.0004 max mem: 1126
Test: [ 950/1613] eta: 0:00:37 loss: 0.3511 (0.6830) labels_encoder: 0.3511 (0.6830) labels_encoder_unscaled: 0.3511 (0.6830) time: 0.0525 data: 0.0002 max mem: 1126
Test: [1000/1613] eta: 0:00:34 loss: 0.3027 (0.6735) labels_encoder: 0.3027 (0.6735) labels_encoder_unscaled: 0.3027 (0.6735) time: 0.0582 data: 0.0002 max mem: 1126
Test: [1050/1613] eta: 0:00:31 loss: 0.5696 (0.6697) labels_encoder: 0.5696 (0.6697) labels_encoder_unscaled: 0.5696 (0.6697) time: 0.0563 data: 0.0002 max mem: 1126
Test: [1100/1613] eta: 0:00:28 loss: 0.4578 (0.6690) labels_encoder: 0.4578 (0.6690) labels_encoder_unscaled: 0.4578 (0.6690) time: 0.0509 data: 0.0002 max mem: 1126
Test: [1150/1613] eta: 0:00:26 loss: 0.4307 (0.6606) labels_encoder: 0.4307 (0.6606) labels_encoder_unscaled: 0.4307 (0.6606) time: 0.0562 data: 0.0002 max mem: 1126
Test: [1200/1613] eta: 0:00:23 loss: 0.4017 (0.6655) labels_encoder: 0.4017 (0.6655) labels_encoder_unscaled: 0.4017 (0.6655) time: 0.0544 data: 0.0002 max mem: 1126
Test: [1250/1613] eta: 0:00:20 loss: 0.3039 (0.6673) labels_encoder: 0.3039 (0.6673) labels_encoder_unscaled: 0.3039 (0.6673) time: 0.0549 data: 0.0002 max mem: 1126
Test: [1300/1613] eta: 0:00:17 loss: 0.2780 (0.6625) labels_encoder: 0.2780 (0.6625) labels_encoder_unscaled: 0.2780 (0.6625) time: 0.0615 data: 0.0002 max mem: 1126
Test: [1350/1613] eta: 0:00:14 loss: 0.6061 (0.6670) labels_encoder: 0.6061 (0.6670) labels_encoder_unscaled: 0.6061 (0.6670) time: 0.0545 data: 0.0002 max mem: 1126
Test: [1400/1613] eta: 0:00:12 loss: 0.6967 (0.6672) labels_encoder: 0.6967 (0.6672) labels_encoder_unscaled: 0.6967 (0.6672) time: 0.0591 data: 0.0002 max mem: 1126
Test: [1450/1613] eta: 0:00:09 loss: 0.3191 (0.6760) labels_encoder: 0.3191 (0.6760) labels_encoder_unscaled: 0.3191 (0.6760) time: 0.0566 data: 0.0002 max mem: 1126
Test: [1500/1613] eta: 0:00:06 loss: 0.4809 (0.6863) labels_encoder: 0.4809 (0.6863) labels_encoder_unscaled: 0.4809 (0.6863) time: 0.0568 data: 0.0002 max mem: 1126
Test: [1550/1613] eta: 0:00:03 loss: 0.4309 (0.6834) labels_encoder: 0.4309 (0.6834) labels_encoder_unscaled: 0.4309 (0.6834) time: 0.0538 data: 0.0002 max mem: 1126
Test: [1600/1613] eta: 0:00:00 loss: 0.5923 (0.6795) labels_encoder: 0.5923 (0.6795) labels_encoder_unscaled: 0.5923 (0.6795) time: 0.0459 data: 0.0001 max mem: 1126
Test: [1612/1613] eta: 0:00:00 loss: 0.3685 (0.6784) labels_encoder: 0.3685 (0.6784) labels_encoder_unscaled: 0.3685 (0.6784) time: 0.0358 data: 0.0001 max mem: 1126
Test: Total time: 0:01:31 (0.0566 s / it)
Averaged stats: loss: 0.3685 (0.6784) labels_encoder: 0.3685 (0.6784) labels_encoder_unscaled: 0.3685 (0.6784)
(21, 206375)
(21, 206375)
[Epoch-2] [IDU-anet] mAP: 0.5639, mcAP: 0.9743
BaseballPitch: 0.2332
BasketballDunk: 0.7414
Billiards: 0.3832
CleanAndJerk: 0.7678
CliffDiving: 0.8162
CricketBowling: 0.4002
CricketShot: 0.1998
Diving: 0.6850
FrisbeeCatch: 0.4236
GolfSwing: 0.4890
HammerThrow: 0.8439
HighJump: 0.5493
JavelinThrow: 0.7199
LongJump: 0.7826
PoleVault: 0.8510
Shotput: 0.6466
SoccerPenalty: 0.3128
TennisSwing: 0.5189
ThrowDiscus: 0.6337
VolleyballSpiking: 0.2808
Epoch: [3] [ 0/1405] eta: 0:39:37 lr: 0.000001 loss: 0.2001 (0.2001) labels_encoder: 0.2001 (0.2001) labels_encoder_unscaled: 0.2001 (0.2001) time: 1.6918 data: 1.4864 max mem: 1126
Epoch: [3] [ 50/1405] eta: 0:03:59 lr: 0.000001 loss: 0.1870 (0.1840) labels_encoder: 0.1870 (0.1840) labels_encoder_unscaled: 0.1870 (0.1840) time: 0.1320 data: 0.0003 max mem: 1126
Epoch: [3] [ 100/1405] eta: 0:03:26 lr: 0.000001 loss: 0.1888 (0.1846) labels_encoder: 0.1888 (0.1846) labels_encoder_unscaled: 0.1888 (0.1846) time: 0.1431 data: 0.0002 max mem: 1126
Epoch: [3] [ 150/1405] eta: 0:03:11 lr: 0.000001 loss: 0.1722 (0.1840) labels_encoder: 0.1722 (0.1840) labels_encoder_unscaled: 0.1722 (0.1840) time: 0.1420 data: 0.0002 max mem: 1126
Epoch: [3] [ 200/1405] eta: 0:02:58 lr: 0.000001 loss: 0.1958 (0.1864) labels_encoder: 0.1958 (0.1864) labels_encoder_unscaled: 0.1958 (0.1864) time: 0.1315 data: 0.0002 max mem: 1126
Epoch: [3] [ 250/1405] eta: 0:02:49 lr: 0.000001 loss: 0.1673 (0.1847) labels_encoder: 0.1673 (0.1847) labels_encoder_unscaled: 0.1673 (0.1847) time: 0.1398 data: 0.0002 max mem: 1126
Epoch: [3] [ 300/1405] eta: 0:02:40 lr: 0.000001 loss: 0.1913 (0.1850) labels_encoder: 0.1913 (0.1850) labels_encoder_unscaled: 0.1913 (0.1850) time: 0.1408 data: 0.0002 max mem: 1126
Epoch: [3] [ 350/1405] eta: 0:02:31 lr: 0.000001 loss: 0.1803 (0.1857) labels_encoder: 0.1803 (0.1857) labels_encoder_unscaled: 0.1803 (0.1857) time: 0.1373 data: 0.0002 max mem: 1126
Epoch: [3] [ 400/1405] eta: 0:02:24 lr: 0.000001 loss: 0.1883 (0.1845) labels_encoder: 0.1883 (0.1845) labels_encoder_unscaled: 0.1883 (0.1845) time: 0.1414 data: 0.0002 max mem: 1126
Epoch: [3] [ 450/1405] eta: 0:02:16 lr: 0.000001 loss: 0.1709 (0.1843) labels_encoder: 0.1709 (0.1843) labels_encoder_unscaled: 0.1709 (0.1843) time: 0.1354 data: 0.0002 max mem: 1126
Epoch: [3] [ 500/1405] eta: 0:02:08 lr: 0.000001 loss: 0.1578 (0.1833) labels_encoder: 0.1578 (0.1833) labels_encoder_unscaled: 0.1578 (0.1833) time: 0.1357 data: 0.0002 max mem: 1126
Epoch: [3] [ 550/1405] eta: 0:02:01 lr: 0.000001 loss: 0.1636 (0.1820) labels_encoder: 0.1636 (0.1820) labels_encoder_unscaled: 0.1636 (0.1820) time: 0.1386 data: 0.0002 max mem: 1126
Epoch: [3] [ 600/1405] eta: 0:01:53 lr: 0.000001 loss: 0.2001 (0.1820) labels_encoder: 0.2001 (0.1820) labels_encoder_unscaled: 0.2001 (0.1820) time: 0.1306 data: 0.0002 max mem: 1126
Epoch: [3] [ 650/1405] eta: 0:01:46 lr: 0.000001 loss: 0.1708 (0.1814) labels_encoder: 0.1708 (0.1814) labels_encoder_unscaled: 0.1708 (0.1814) time: 0.1376 data: 0.0002 max mem: 1126
Epoch: [3] [ 700/1405] eta: 0:01:39 lr: 0.000001 loss: 0.1675 (0.1810) labels_encoder: 0.1675 (0.1810) labels_encoder_unscaled: 0.1675 (0.1810) time: 0.1349 data: 0.0008 max mem: 1126
Epoch: [3] [ 750/1405] eta: 0:01:31 lr: 0.000001 loss: 0.1737 (0.1809) labels_encoder: 0.1737 (0.1809) labels_encoder_unscaled: 0.1737 (0.1809) time: 0.1401 data: 0.0002 max mem: 1126
Epoch: [3] [ 800/1405] eta: 0:01:24 lr: 0.000001 loss: 0.1680 (0.1808) labels_encoder: 0.1680 (0.1808) labels_encoder_unscaled: 0.1680 (0.1808) time: 0.1355 data: 0.0002 max mem: 1126
Epoch: [3] [ 850/1405] eta: 0:01:17 lr: 0.000001 loss: 0.1658 (0.1805) labels_encoder: 0.1658 (0.1805) labels_encoder_unscaled: 0.1658 (0.1805) time: 0.1328 data: 0.0003 max mem: 1126
Epoch: [3] [ 900/1405] eta: 0:01:10 lr: 0.000001 loss: 0.1796 (0.1806) labels_encoder: 0.1796 (0.1806) labels_encoder_unscaled: 0.1796 (0.1806) time: 0.1356 data: 0.0002 max mem: 1126
Epoch: [3] [ 950/1405] eta: 0:01:03 lr: 0.000001 loss: 0.1534 (0.1801) labels_encoder: 0.1534 (0.1801) labels_encoder_unscaled: 0.1534 (0.1801) time: 0.1398 data: 0.0002 max mem: 1126
Epoch: [3] [1000/1405] eta: 0:00:56 lr: 0.000001 loss: 0.1586 (0.1797) labels_encoder: 0.1586 (0.1797) labels_encoder_unscaled: 0.1586 (0.1797) time: 0.1487 data: 0.0013 max mem: 1126
Epoch: [3] [1050/1405] eta: 0:00:49 lr: 0.000001 loss: 0.1747 (0.1791) labels_encoder: 0.1747 (0.1791) labels_encoder_unscaled: 0.1747 (0.1791) time: 0.1397 data: 0.0003 max mem: 1126
Epoch: [3] [1100/1405] eta: 0:00:42 lr: 0.000001 loss: 0.1758 (0.1795) labels_encoder: 0.1758 (0.1795) labels_encoder_unscaled: 0.1758 (0.1795) time: 0.1384 data: 0.0002 max mem: 1126
Epoch: [3] [1150/1405] eta: 0:00:35 lr: 0.000001 loss: 0.1726 (0.1797) labels_encoder: 0.1726 (0.1797) labels_encoder_unscaled: 0.1726 (0.1797) time: 0.1668 data: 0.0006 max mem: 1126
Epoch: [3] [1200/1405] eta: 0:00:28 lr: 0.000001 loss: 0.1801 (0.1795) labels_encoder: 0.1801 (0.1795) labels_encoder_unscaled: 0.1801 (0.1795) time: 0.1332 data: 0.0002 max mem: 1126
Epoch: [3] [1250/1405] eta: 0:00:21 lr: 0.000001 loss: 0.1718 (0.1789) labels_encoder: 0.1718 (0.1789) labels_encoder_unscaled: 0.1718 (0.1789) time: 0.1369 data: 0.0004 max mem: 1126
Epoch: [3] [1300/1405] eta: 0:00:14 lr: 0.000001 loss: 0.1689 (0.1789) labels_encoder: 0.1689 (0.1789) labels_encoder_unscaled: 0.1689 (0.1789) time: 0.1345 data: 0.0003 max mem: 1126
Epoch: [3] [1350/1405] eta: 0:00:07 lr: 0.000001 loss: 0.1653 (0.1788) labels_encoder: 0.1653 (0.1788) labels_encoder_unscaled: 0.1653 (0.1788) time: 0.1282 data: 0.0002 max mem: 1126
Epoch: [3] [1400/1405] eta: 0:00:00 lr: 0.000001 loss: 0.1616 (0.1787) labels_encoder: 0.1616 (0.1787) labels_encoder_unscaled: 0.1616 (0.1787) time: 0.1241 data: 0.0003 max mem: 1126
Epoch: [3] [1404/1405] eta: 0:00:00 lr: 0.000001 loss: 0.1653 (0.1788) labels_encoder: 0.1653 (0.1788) labels_encoder_unscaled: 0.1653 (0.1788) time: 0.1182 data: 0.0003 max mem: 1126
Epoch: [3] Total time: 0:03:14 (0.1388 s / it)
Averaged stats: lr: 0.000001 loss: 0.1653 (0.1788) labels_encoder: 0.1653 (0.1788) labels_encoder_unscaled: 0.1653 (0.1788)
Test: [ 0/1613] eta: 1:04:54 loss: 0.4153 (0.4153) labels_encoder: 0.4153 (0.4153) labels_encoder_unscaled: 0.4153 (0.4153) time: 2.4142 data: 2.3213 max mem: 1126
Test: [ 50/1613] eta: 0:02:40 loss: 0.2790 (0.6295) labels_encoder: 0.2790 (0.6295) labels_encoder_unscaled: 0.2790 (0.6295) time: 0.0622 data: 0.0002 max mem: 1126
Test: [ 100/1613] eta: 0:02:03 loss: 0.1299 (0.4877) labels_encoder: 0.1299 (0.4877) labels_encoder_unscaled: 0.1299 (0.4877) time: 0.0551 data: 0.0002 max mem: 1126
Test: [ 150/1613] eta: 0:01:48 loss: 0.3392 (0.4590) labels_encoder: 0.3392 (0.4590) labels_encoder_unscaled: 0.3392 (0.4590) time: 0.0560 data: 0.0005 max mem: 1126
Test: [ 200/1613] eta: 0:01:38 loss: 0.5844 (0.5264) labels_encoder: 0.5844 (0.5264) labels_encoder_unscaled: 0.5844 (0.5264) time: 0.0505 data: 0.0002 max mem: 1126
Test: [ 250/1613] eta: 0:01:31 loss: 0.3194 (0.5662) labels_encoder: 0.3194 (0.5662) labels_encoder_unscaled: 0.3194 (0.5662) time: 0.0497 data: 0.0002 max mem: 1126
Test: [ 300/1613] eta: 0:01:26 loss: 0.3594 (0.5985) labels_encoder: 0.3594 (0.5985) labels_encoder_unscaled: 0.3594 (0.5985) time: 0.0675 data: 0.0003 max mem: 1126
Test: [ 350/1613] eta: 0:01:23 loss: 1.0923 (0.6102) labels_encoder: 1.0923 (0.6102) labels_encoder_unscaled: 1.0923 (0.6102) time: 0.0561 data: 0.0002 max mem: 1126
Test: [ 400/1613] eta: 0:01:18 loss: 0.4244 (0.6870) labels_encoder: 0.4244 (0.6870) labels_encoder_unscaled: 0.4244 (0.6870) time: 0.0472 data: 0.0001 max mem: 1126
Test: [ 450/1613] eta: 0:01:13 loss: 0.5549 (0.7261) labels_encoder: 0.5549 (0.7261) labels_encoder_unscaled: 0.5549 (0.7261) time: 0.0526 data: 0.0002 max mem: 1126
Test: [ 500/1613] eta: 0:01:09 loss: 0.2187 (0.6875) labels_encoder: 0.2187 (0.6875) labels_encoder_unscaled: 0.2187 (0.6875) time: 0.0490 data: 0.0002 max mem: 1126
Test: [ 550/1613] eta: 0:01:05 loss: 0.4840 (0.6901) labels_encoder: 0.4840 (0.6901) labels_encoder_unscaled: 0.4840 (0.6901) time: 0.0552 data: 0.0019 max mem: 1126
Test: [ 600/1613] eta: 0:01:02 loss: 0.5793 (0.7152) labels_encoder: 0.5793 (0.7152) labels_encoder_unscaled: 0.5793 (0.7152) time: 0.0616 data: 0.0002 max mem: 1126
Test: [ 650/1613] eta: 0:00:58 loss: 0.6059 (0.7030) labels_encoder: 0.6059 (0.7030) labels_encoder_unscaled: 0.6059 (0.7030) time: 0.0560 data: 0.0002 max mem: 1126
Test: [ 700/1613] eta: 0:00:55 loss: 0.2917 (0.6907) labels_encoder: 0.2917 (0.6907) labels_encoder_unscaled: 0.2917 (0.6907) time: 0.0579 data: 0.0002 max mem: 1126
Test: [ 750/1613] eta: 0:00:52 loss: 0.3691 (0.6741) labels_encoder: 0.3691 (0.6741) labels_encoder_unscaled: 0.3691 (0.6741) time: 0.0547 data: 0.0004 max mem: 1126
Test: [ 800/1613] eta: 0:00:48 loss: 0.4227 (0.6737) labels_encoder: 0.4227 (0.6737) labels_encoder_unscaled: 0.4227 (0.6737) time: 0.0571 data: 0.0002 max mem: 1126
Test: [ 850/1613] eta: 0:00:45 loss: 0.9817 (0.6782) labels_encoder: 0.9817 (0.6782) labels_encoder_unscaled: 0.9817 (0.6782) time: 0.0594 data: 0.0002 max mem: 1126
Test: [ 900/1613] eta: 0:00:42 loss: 0.4546 (0.6899) labels_encoder: 0.4546 (0.6899) labels_encoder_unscaled: 0.4546 (0.6899) time: 0.0591 data: 0.0003 max mem: 1126
Test: [ 950/1613] eta: 0:00:39 loss: 0.5091 (0.6831) labels_encoder: 0.5091 (0.6831) labels_encoder_unscaled: 0.5091 (0.6831) time: 0.0569 data: 0.0002 max mem: 1126
Test: [1000/1613] eta: 0:00:36 loss: 0.3020 (0.6732) labels_encoder: 0.3020 (0.6732) labels_encoder_unscaled: 0.3020 (0.6732) time: 0.0565 data: 0.0004 max mem: 1126
Test: [1050/1613] eta: 0:00:33 loss: 0.5369 (0.6687) labels_encoder: 0.5369 (0.6687) labels_encoder_unscaled: 0.5369 (0.6687) time: 0.0593 data: 0.0002 max mem: 1126
Test: [1100/1613] eta: 0:00:30 loss: 0.4359 (0.6690) labels_encoder: 0.4359 (0.6690) labels_encoder_unscaled: 0.4359 (0.6690) time: 0.0489 data: 0.0002 max mem: 1126
Test: [1150/1613] eta: 0:00:27 loss: 0.5139 (0.6621) labels_encoder: 0.5139 (0.6621) labels_encoder_unscaled: 0.5139 (0.6621) time: 0.0503 data: 0.0002 max mem: 1126
Test: [1200/1613] eta: 0:00:24 loss: 0.3443 (0.6653) labels_encoder: 0.3443 (0.6653) labels_encoder_unscaled: 0.3443 (0.6653) time: 0.0617 data: 0.0006 max mem: 1126
Test: [1250/1613] eta: 0:00:21 loss: 0.2925 (0.6661) labels_encoder: 0.2925 (0.6661) labels_encoder_unscaled: 0.2925 (0.6661) time: 0.0550 data: 0.0002 max mem: 1126
Test: [1300/1613] eta: 0:00:18 loss: 0.3082 (0.6629) labels_encoder: 0.3082 (0.6629) labels_encoder_unscaled: 0.3082 (0.6629) time: 0.0557 data: 0.0002 max mem: 1126
Test: [1350/1613] eta: 0:00:15 loss: 0.6613 (0.6688) labels_encoder: 0.6613 (0.6688) labels_encoder_unscaled: 0.6613 (0.6688) time: 0.0550 data: 0.0002 max mem: 1126
Test: [1400/1613] eta: 0:00:12 loss: 0.6646 (0.6690) labels_encoder: 0.6646 (0.6690) labels_encoder_unscaled: 0.6646 (0.6690) time: 0.0543 data: 0.0002 max mem: 1126
Test: [1450/1613] eta: 0:00:09 loss: 0.3811 (0.6794) labels_encoder: 0.3811 (0.6794) labels_encoder_unscaled: 0.3811 (0.6794) time: 0.0641 data: 0.0006 max mem: 1126
Test: [1500/1613] eta: 0:00:06 loss: 0.4544 (0.6884) labels_encoder: 0.4544 (0.6884) labels_encoder_unscaled: 0.4544 (0.6884) time: 0.0525 data: 0.0004 max mem: 1126
Test: [1550/1613] eta: 0:00:03 loss: 0.4580 (0.6859) labels_encoder: 0.4580 (0.6859) labels_encoder_unscaled: 0.4580 (0.6859) time: 0.0619 data: 0.0016 max mem: 1126
Test: [1600/1613] eta: 0:00:00 loss: 0.5059 (0.6815) labels_encoder: 0.5059 (0.6815) labels_encoder_unscaled: 0.5059 (0.6815) time: 0.0516 data: 0.0002 max mem: 1126
Test: [1612/1613] eta: 0:00:00 loss: 0.2989 (0.6803) labels_encoder: 0.2989 (0.6803) labels_encoder_unscaled: 0.2989 (0.6803) time: 0.0419 data: 0.0001 max mem: 1126
Test: Total time: 0:01:34 (0.0586 s / it)
Averaged stats: loss: 0.2989 (0.6803) labels_encoder: 0.2989 (0.6803) labels_encoder_unscaled: 0.2989 (0.6803)
(21, 206375)
(21, 206375)
[Epoch-3] [IDU-anet] mAP: 0.5612, mcAP: 0.9744
BaseballPitch: 0.2124
BasketballDunk: 0.7428
Billiards: 0.3868
CleanAndJerk: 0.7702
CliffDiving: 0.8120
CricketBowling: 0.4022
CricketShot: 0.2080
Diving: 0.6823
FrisbeeCatch: 0.3925
GolfSwing: 0.4849
HammerThrow: 0.8388
HighJump: 0.5435
JavelinThrow: 0.7143
LongJump: 0.7894
PoleVault: 0.8524
Shotput: 0.6481
SoccerPenalty: 0.3115
TennisSwing: 0.5139
ThrowDiscus: 0.6300
VolleyballSpiking: 0.2882
Epoch: [4] [ 0/1405] eta: 0:52:02 lr: 0.000000 loss: 0.1364 (0.1364) labels_encoder: 0.1364 (0.1364) labels_encoder_unscaled: 0.1364 (0.1364) time: 2.2222 data: 2.0724 max mem: 1126
Epoch: [4] [ 50/1405] eta: 0:04:02 lr: 0.000000 loss: 0.1509 (0.1747) labels_encoder: 0.1509 (0.1747) labels_encoder_unscaled: 0.1509 (0.1747) time: 0.1362 data: 0.0003 max mem: 1126
Epoch: [4] [ 100/1405] eta: 0:03:26 lr: 0.000000 loss: 0.1676 (0.1768) labels_encoder: 0.1676 (0.1768) labels_encoder_unscaled: 0.1676 (0.1768) time: 0.1379 data: 0.0002 max mem: 1126
Epoch: [4] [ 150/1405] eta: 0:03:09 lr: 0.000000 loss: 0.1697 (0.1749) labels_encoder: 0.1697 (0.1749) labels_encoder_unscaled: 0.1697 (0.1749) time: 0.1349 data: 0.0003 max mem: 1126
Epoch: [4] [ 200/1405] eta: 0:02:57 lr: 0.000000 loss: 0.1823 (0.1754) labels_encoder: 0.1823 (0.1754) labels_encoder_unscaled: 0.1823 (0.1754) time: 0.1327 data: 0.0002 max mem: 1126
Epoch: [4] [ 250/1405] eta: 0:02:48 lr: 0.000000 loss: 0.1573 (0.1749) labels_encoder: 0.1573 (0.1749) labels_encoder_unscaled: 0.1573 (0.1749) time: 0.1419 data: 0.0006 max mem: 1126
Epoch: [4] [ 300/1405] eta: 0:02:39 lr: 0.000000 loss: 0.1779 (0.1757) labels_encoder: 0.1779 (0.1757) labels_encoder_unscaled: 0.1779 (0.1757) time: 0.1327 data: 0.0002 max mem: 1126
Epoch: [4] [ 350/1405] eta: 0:02:30 lr: 0.000000 loss: 0.1802 (0.1764) labels_encoder: 0.1802 (0.1764) labels_encoder_unscaled: 0.1802 (0.1764) time: 0.1321 data: 0.0002 max mem: 1126
Epoch: [4] [ 400/1405] eta: 0:02:22 lr: 0.000000 loss: 0.1647 (0.1762) labels_encoder: 0.1647 (0.1762) labels_encoder_unscaled: 0.1647 (0.1762) time: 0.1377 data: 0.0003 max mem: 1126
Epoch: [4] [ 450/1405] eta: 0:02:14 lr: 0.000000 loss: 0.1636 (0.1761) labels_encoder: 0.1636 (0.1761) labels_encoder_unscaled: 0.1636 (0.1761) time: 0.1289 data: 0.0002 max mem: 1126
Epoch: [4] [ 500/1405] eta: 0:02:07 lr: 0.000000 loss: 0.1521 (0.1755) labels_encoder: 0.1521 (0.1755) labels_encoder_unscaled: 0.1521 (0.1755) time: 0.1404 data: 0.0002 max mem: 1126
Epoch: [4] [ 550/1405] eta: 0:01:59 lr: 0.000000 loss: 0.1744 (0.1754) labels_encoder: 0.1744 (0.1754) labels_encoder_unscaled: 0.1744 (0.1754) time: 0.1335 data: 0.0002 max mem: 1126
Epoch: [4] [ 600/1405] eta: 0:01:52 lr: 0.000000 loss: 0.1770 (0.1756) labels_encoder: 0.1770 (0.1756) labels_encoder_unscaled: 0.1770 (0.1756) time: 0.1356 data: 0.0002 max mem: 1126
Epoch: [4] [ 650/1405] eta: 0:01:45 lr: 0.000000 loss: 0.1679 (0.1752) labels_encoder: 0.1679 (0.1752) labels_encoder_unscaled: 0.1679 (0.1752) time: 0.1408 data: 0.0002 max mem: 1126
Epoch: [4] [ 700/1405] eta: 0:01:38 lr: 0.000000 loss: 0.1691 (0.1752) labels_encoder: 0.1691 (0.1752) labels_encoder_unscaled: 0.1691 (0.1752) time: 0.1393 data: 0.0003 max mem: 1126
Epoch: [4] [ 750/1405] eta: 0:01:31 lr: 0.000000 loss: 0.1933 (0.1755) labels_encoder: 0.1933 (0.1755) labels_encoder_unscaled: 0.1933 (0.1755) time: 0.1409 data: 0.0002 max mem: 1126
Epoch: [4] [ 800/1405] eta: 0:01:24 lr: 0.000000 loss: 0.1704 (0.1756) labels_encoder: 0.1704 (0.1756) labels_encoder_unscaled: 0.1704 (0.1756) time: 0.1382 data: 0.0002 max mem: 1126
Epoch: [4] [ 850/1405] eta: 0:01:17 lr: 0.000000 loss: 0.1646 (0.1757) labels_encoder: 0.1646 (0.1757) labels_encoder_unscaled: 0.1646 (0.1757) time: 0.1349 data: 0.0002 max mem: 1126
Epoch: [4] [ 900/1405] eta: 0:01:10 lr: 0.000000 loss: 0.1817 (0.1756) labels_encoder: 0.1817 (0.1756) labels_encoder_unscaled: 0.1817 (0.1756) time: 0.1368 data: 0.0002 max mem: 1126
Epoch: [4] [ 950/1405] eta: 0:01:03 lr: 0.000000 loss: 0.1742 (0.1758) labels_encoder: 0.1742 (0.1758) labels_encoder_unscaled: 0.1742 (0.1758) time: 0.1402 data: 0.0002 max mem: 1126
Epoch: [4] [1000/1405] eta: 0:00:56 lr: 0.000000 loss: 0.1655 (0.1756) labels_encoder: 0.1655 (0.1756) labels_encoder_unscaled: 0.1655 (0.1756) time: 0.1393 data: 0.0002 max mem: 1126
Epoch: [4] [1050/1405] eta: 0:00:49 lr: 0.000000 loss: 0.1775 (0.1756) labels_encoder: 0.1775 (0.1756) labels_encoder_unscaled: 0.1775 (0.1756) time: 0.1350 data: 0.0002 max mem: 1126
Epoch: [4] [1100/1405] eta: 0:00:42 lr: 0.000000 loss: 0.2009 (0.1761) labels_encoder: 0.2009 (0.1761) labels_encoder_unscaled: 0.2009 (0.1761) time: 0.1364 data: 0.0003 max mem: 1126
Epoch: [4] [1150/1405] eta: 0:00:35 lr: 0.000000 loss: 0.1715 (0.1759) labels_encoder: 0.1715 (0.1759) labels_encoder_unscaled: 0.1715 (0.1759) time: 0.1362 data: 0.0002 max mem: 1126
Epoch: [4] [1200/1405] eta: 0:00:28 lr: 0.000000 loss: 0.1854 (0.1759) labels_encoder: 0.1854 (0.1759) labels_encoder_unscaled: 0.1854 (0.1759) time: 0.1376 data: 0.0002 max mem: 1126
Epoch: [4] [1250/1405] eta: 0:00:21 lr: 0.000000 loss: 0.1832 (0.1760) labels_encoder: 0.1832 (0.1760) labels_encoder_unscaled: 0.1832 (0.1760) time: 0.1328 data: 0.0002 max mem: 1126
Epoch: [4] [1300/1405] eta: 0:00:14 lr: 0.000000 loss: 0.1605 (0.1764) labels_encoder: 0.1605 (0.1764) labels_encoder_unscaled: 0.1605 (0.1764) time: 0.1384 data: 0.0002 max mem: 1126
Epoch: [4] [1350/1405] eta: 0:00:07 lr: 0.000000 loss: 0.1524 (0.1761) labels_encoder: 0.1524 (0.1761) labels_encoder_unscaled: 0.1524 (0.1761) time: 0.1400 data: 0.0002 max mem: 1126
Epoch: [4] [1400/1405] eta: 0:00:00 lr: 0.000000 loss: 0.1935 (0.1762) labels_encoder: 0.1935 (0.1762) labels_encoder_unscaled: 0.1935 (0.1762) time: 0.1279 data: 0.0004 max mem: 1126
Epoch: [4] [1404/1405] eta: 0:00:00 lr: 0.000000 loss: 0.1935 (0.1762) labels_encoder: 0.1935 (0.1762) labels_encoder_unscaled: 0.1935 (0.1762) time: 0.1247 data: 0.0004 max mem: 1126
Epoch: [4] Total time: 0:03:15 (0.1388 s / it)
Averaged stats: lr: 0.000000 loss: 0.1935 (0.1762) labels_encoder: 0.1935 (0.1762) labels_encoder_unscaled: 0.1935 (0.1762)
Test: [ 0/1613] eta: 0:49:12 loss: 0.3031 (0.3031) labels_encoder: 0.3031 (0.3031) labels_encoder_unscaled: 0.3031 (0.3031) time: 1.8304 data: 1.7895 max mem: 1126
Test: [ 50/1613] eta: 0:02:33 loss: 0.2706 (0.6237) labels_encoder: 0.2706 (0.6237) labels_encoder_unscaled: 0.2706 (0.6237) time: 0.0529 data: 0.0002 max mem: 1126
Test: [ 100/1613] eta: 0:01:57 loss: 0.1608 (0.4918) labels_encoder: 0.1608 (0.4918) labels_encoder_unscaled: 0.1608 (0.4918) time: 0.0575 data: 0.0002 max mem: 1126
Test: [ 150/1613] eta: 0:01:44 loss: 0.4583 (0.4623) labels_encoder: 0.4583 (0.4623) labels_encoder_unscaled: 0.4583 (0.4623) time: 0.0567 data: 0.0002 max mem: 1126
Test: [ 200/1613] eta: 0:01:35 loss: 0.6169 (0.5365) labels_encoder: 0.6169 (0.5365) labels_encoder_unscaled: 0.6169 (0.5365) time: 0.0578 data: 0.0002 max mem: 1126
Test: [ 250/1613] eta: 0:01:29 loss: 0.3416 (0.5741) labels_encoder: 0.3416 (0.5741) labels_encoder_unscaled: 0.3416 (0.5741) time: 0.0578 data: 0.0002 max mem: 1126
Test: [ 300/1613] eta: 0:01:24 loss: 0.3778 (0.6019) labels_encoder: 0.3778 (0.6019) labels_encoder_unscaled: 0.3778 (0.6019) time: 0.0513 data: 0.0002 max mem: 1126
Test: [ 350/1613] eta: 0:01:19 loss: 1.0921 (0.6138) labels_encoder: 1.0921 (0.6138) labels_encoder_unscaled: 1.0921 (0.6138) time: 0.0564 data: 0.0002 max mem: 1126
Test: [ 400/1613] eta: 0:01:15 loss: 0.3913 (0.6907) labels_encoder: 0.3913 (0.6907) labels_encoder_unscaled: 0.3913 (0.6907) time: 0.0602 data: 0.0002 max mem: 1126
Test: [ 450/1613] eta: 0:01:12 loss: 0.5381 (0.7293) labels_encoder: 0.5381 (0.7293) labels_encoder_unscaled: 0.5381 (0.7293) time: 0.0604 data: 0.0002 max mem: 1126
Test: [ 500/1613] eta: 0:01:08 loss: 0.2088 (0.6898) labels_encoder: 0.2088 (0.6898) labels_encoder_unscaled: 0.2088 (0.6898) time: 0.0567 data: 0.0002 max mem: 1126
Test: [ 550/1613] eta: 0:01:05 loss: 0.4344 (0.6893) labels_encoder: 0.4344 (0.6893) labels_encoder_unscaled: 0.4344 (0.6893) time: 0.0629 data: 0.0002 max mem: 1126
Test: [ 600/1613] eta: 0:01:01 loss: 0.6345 (0.7153) labels_encoder: 0.6345 (0.7153) labels_encoder_unscaled: 0.6345 (0.7153) time: 0.0537 data: 0.0008 max mem: 1126
Test: [ 650/1613] eta: 0:00:58 loss: 0.4923 (0.7032) labels_encoder: 0.4923 (0.7032) labels_encoder_unscaled: 0.4923 (0.7032) time: 0.0622 data: 0.0002 max mem: 1126
Test: [ 700/1613] eta: 0:00:55 loss: 0.2984 (0.6898) labels_encoder: 0.2984 (0.6898) labels_encoder_unscaled: 0.2984 (0.6898) time: 0.0561 data: 0.0002 max mem: 1126
Test: [ 750/1613] eta: 0:00:52 loss: 0.3518 (0.6729) labels_encoder: 0.3518 (0.6729) labels_encoder_unscaled: 0.3518 (0.6729) time: 0.0622 data: 0.0003 max mem: 1126
Test: [ 800/1613] eta: 0:00:49 loss: 0.4349 (0.6751) labels_encoder: 0.4349 (0.6751) labels_encoder_unscaled: 0.4349 (0.6751) time: 0.0599 data: 0.0002 max mem: 1126
Test: [ 850/1613] eta: 0:00:46 loss: 1.0649 (0.6796) labels_encoder: 1.0649 (0.6796) labels_encoder_unscaled: 1.0649 (0.6796) time: 0.0590 data: 0.0002 max mem: 1126
Test: [ 900/1613] eta: 0:00:43 loss: 0.4465 (0.6912) labels_encoder: 0.4465 (0.6912) labels_encoder_unscaled: 0.4465 (0.6912) time: 0.0615 data: 0.0002 max mem: 1126
Test: [ 950/1613] eta: 0:00:40 loss: 0.5420 (0.6854) labels_encoder: 0.5420 (0.6854) labels_encoder_unscaled: 0.5420 (0.6854) time: 0.0602 data: 0.0002 max mem: 1126
Test: [1000/1613] eta: 0:00:36 loss: 0.2956 (0.6752) labels_encoder: 0.2956 (0.6752) labels_encoder_unscaled: 0.2956 (0.6752) time: 0.0584 data: 0.0002 max mem: 1126
Test: [1050/1613] eta: 0:00:33 loss: 0.5105 (0.6706) labels_encoder: 0.5105 (0.6706) labels_encoder_unscaled: 0.5105 (0.6706) time: 0.0552 data: 0.0002 max mem: 1126
Test: [1100/1613] eta: 0:00:30 loss: 0.4188 (0.6701) labels_encoder: 0.4188 (0.6701) labels_encoder_unscaled: 0.4188 (0.6701) time: 0.0499 data: 0.0002 max mem: 1126
Test: [1150/1613] eta: 0:00:27 loss: 0.4818 (0.6621) labels_encoder: 0.4818 (0.6621) labels_encoder_unscaled: 0.4818 (0.6621) time: 0.0619 data: 0.0002 max mem: 1126
Test: [1200/1613] eta: 0:00:24 loss: 0.3218 (0.6643) labels_encoder: 0.3218 (0.6643) labels_encoder_unscaled: 0.3218 (0.6643) time: 0.0599 data: 0.0002 max mem: 1126
Test: [1250/1613] eta: 0:00:21 loss: 0.2637 (0.6649) labels_encoder: 0.2637 (0.6649) labels_encoder_unscaled: 0.2637 (0.6649) time: 0.0595 data: 0.0002 max mem: 1126
Test: [1300/1613] eta: 0:00:18 loss: 0.2348 (0.6617) labels_encoder: 0.2348 (0.6617) labels_encoder_unscaled: 0.2348 (0.6617) time: 0.0561 data: 0.0002 max mem: 1126
Test: [1350/1613] eta: 0:00:15 loss: 0.6484 (0.6670) labels_encoder: 0.6484 (0.6670) labels_encoder_unscaled: 0.6484 (0.6670) time: 0.0529 data: 0.0002 max mem: 1126
Test: [1400/1613] eta: 0:00:12 loss: 0.6405 (0.6676) labels_encoder: 0.6405 (0.6676) labels_encoder_unscaled: 0.6405 (0.6676) time: 0.0508 data: 0.0002 max mem: 1126
Test: [1450/1613] eta: 0:00:09 loss: 0.3394 (0.6787) labels_encoder: 0.3394 (0.6787) labels_encoder_unscaled: 0.3394 (0.6787) time: 0.0630 data: 0.0002 max mem: 1126
Test: [1500/1613] eta: 0:00:06 loss: 0.4694 (0.6879) labels_encoder: 0.4694 (0.6879) labels_encoder_unscaled: 0.4694 (0.6879) time: 0.0628 data: 0.0002 max mem: 1126
Test: [1550/1613] eta: 0:00:03 loss: 0.4923 (0.6857) labels_encoder: 0.4923 (0.6857) labels_encoder_unscaled: 0.4923 (0.6857) time: 0.0555 data: 0.0002 max mem: 1126
Test: [1600/1613] eta: 0:00:00 loss: 0.5380 (0.6816) labels_encoder: 0.5380 (0.6816) labels_encoder_unscaled: 0.5380 (0.6816) time: 0.0502 data: 0.0002 max mem: 1126
Test: [1612/1613] eta: 0:00:00 loss: 0.3790 (0.6801) labels_encoder: 0.3790 (0.6801) labels_encoder_unscaled: 0.3790 (0.6801) time: 0.0370 data: 0.0001 max mem: 1126
Test: Total time: 0:01:35 (0.0593 s / it)
Averaged stats: loss: 0.3790 (0.6801) labels_encoder: 0.3790 (0.6801) labels_encoder_unscaled: 0.3790 (0.6801)
(21, 206375)
(21, 206375)
[Epoch-4] [IDU-anet] mAP: 0.5608, mcAP: 0.9748
BaseballPitch: 0.1927
BasketballDunk: 0.7454
Billiards: 0.3838
CleanAndJerk: 0.7639
CliffDiving: 0.8067
CricketBowling: 0.3949
CricketShot: 0.1979
Diving: 0.6845
FrisbeeCatch: 0.4280
GolfSwing: 0.4782
HammerThrow: 0.8418
HighJump: 0.5403
JavelinThrow: 0.7172
LongJump: 0.7873
PoleVault: 0.8512
Shotput: 0.6474
SoccerPenalty: 0.3158
TennisSwing: 0.5290
ThrowDiscus: 0.6247
VolleyballSpiking: 0.2845
Training time 0:19:29