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oadtr_b1_recycling_learned_64_seed3_anet.txt
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Unable to compile CoConv C++ implementation. Falling back to Python version.
[Errno 2] No such file or directory: '/home/lh/.conda/envs/oadtr/lib/python3.8/site-packages/continual/conv.cpp'
Failed to add flops_counter_hook: module 'ptflops.flops_counter' has no attribute 'conv_flops_counter_hook'
Failed to add flops_counter_hook: module 'ptflops.flops_counter' has no attribute 'MODULES_MAPPING'
Not using distributed mode
lr:0.0001
batch_size:128
weight_decay:0.0001
epochs:5
resize_feature:False
lr_drop:1
clip_max_norm:1.0
dataparallel:False
removelog:False
version:v3
query_num:8
decoder_layers:5
decoder_embedding_dim:1024
decoder_embedding_dim_out:1024
decoder_attn_dropout_rate:0.1
decoder_num_heads:4
classification_pred_loss_coef:0.5
enc_layers:64
lr_backbone:0.0001
feature:anet
dim_feature:3072
patch_dim:1
embedding_dim:1024
num_heads:8
num_layers:1
attn_dropout_rate:0.1
positional_encoding_type:recycling_learned
num_embeddings: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:3
resume:
start_epoch:1
eval:False
num_workers:8
world_size:1
dist_url:tcp://127.0.0.1:12342
train_session_set:['video_validation_0000690', 'video_validation_0000288', 'video_validation_0000289', 'video_validation_0000416', 'video_validation_0000282', 'video_validation_0000283', 'video_validation_0000281', 'video_validation_0000286', 'video_validation_0000287', 'video_validation_0000284', 'video_validation_0000285', 'video_validation_0000202', 'video_validation_0000203', 'video_validation_0000201', 'video_validation_0000206', 'video_validation_0000207', 'video_validation_0000204', 'video_validation_0000205', 'video_validation_0000790', 'video_validation_0000208', 'video_validation_0000209', 'video_validation_0000420', 'video_validation_0000364', 'video_validation_0000853', 'video_validation_0000950', 'video_validation_0000937', 'video_validation_0000367', 'video_validation_0000290', 'video_validation_0000210', 'video_validation_0000059', 'video_validation_0000058', 'video_validation_0000057', 'video_validation_0000056', 'video_validation_0000055', 'video_validation_0000054', 'video_validation_0000053', 'video_validation_0000052', 'video_validation_0000051', 'video_validation_0000933', 'video_validation_0000949', 'video_validation_0000948', 'video_validation_0000945', 'video_validation_0000944', 'video_validation_0000947', 'video_validation_0000946', 'video_validation_0000941', 'video_validation_0000940', 'video_validation_0000190', 'video_validation_0000942', 'video_validation_0000261', 'video_validation_0000262', 'video_validation_0000263', 'video_validation_0000264', 'video_validation_0000265', 'video_validation_0000266', 'video_validation_0000267', 'video_validation_0000268', 'video_validation_0000269', 'video_validation_0000989', 'video_validation_0000060', 'video_validation_0000370', 'video_validation_0000938', 'video_validation_0000935', 'video_validation_0000668', 'video_validation_0000669', 'video_validation_0000664', 'video_validation_0000665', 'video_validation_0000932', 'video_validation_0000667', 'video_validation_0000934', 'video_validation_0000661', 'video_validation_0000662', 'video_validation_0000663', 'video_validation_0000181', 'video_validation_0000180', 'video_validation_0000183', 'video_validation_0000182', 'video_validation_0000185', 'video_validation_0000184', 'video_validation_0000187', 'video_validation_0000186', 'video_validation_0000189', 'video_validation_0000188', 'video_validation_0000936', 'video_validation_0000270', 'video_validation_0000854', 'video_validation_0000178', 'video_validation_0000179', 'video_validation_0000174', 'video_validation_0000175', 'video_validation_0000176', 'video_validation_0000177', 'video_validation_0000170', 'video_validation_0000171', 'video_validation_0000172', 'video_validation_0000173', 'video_validation_0000670', 'video_validation_0000419', 'video_validation_0000943', 'video_validation_0000485', 'video_validation_0000369', 'video_validation_0000368', 'video_validation_0000318', 'video_validation_0000319', 'video_validation_0000415', 'video_validation_0000414', 'video_validation_0000413', 'video_validation_0000412', 'video_validation_0000411', 'video_validation_0000311', 'video_validation_0000312', 'video_validation_0000313', 'video_validation_0000314', 'video_validation_0000315', 'video_validation_0000316', 'video_validation_0000317', 'video_validation_0000418', 'video_validation_0000365', 'video_validation_0000482', 'video_validation_0000169', 'video_validation_0000168', 'video_validation_0000167', 'video_validation_0000166', 'video_validation_0000165', 'video_validation_0000164', 'video_validation_0000163', 'video_validation_0000162', 'video_validation_0000161', 'video_validation_0000160', 'video_validation_0000857', 'video_validation_0000856', 'video_validation_0000855', 'video_validation_0000366', 'video_validation_0000488', 'video_validation_0000489', 'video_validation_0000851', 'video_validation_0000484', 'video_validation_0000361', 'video_validation_0000486', 'video_validation_0000487', 'video_validation_0000481', 'video_validation_0000910', 'video_validation_0000483', 'video_validation_0000363', 'video_validation_0000990', 'video_validation_0000939', 'video_validation_0000362', 'video_validation_0000987', 'video_validation_0000859', 'video_validation_0000787', 'video_validation_0000786', 'video_validation_0000785', 'video_validation_0000784', 'video_validation_0000783', 'video_validation_0000782', 'video_validation_0000781', 'video_validation_0000981', 'video_validation_0000983', 'video_validation_0000982', 'video_validation_0000985', 'video_validation_0000984', 'video_validation_0000417', 'video_validation_0000788', 'video_validation_0000152', 'video_validation_0000153', 'video_validation_0000151', 'video_validation_0000156', 'video_validation_0000157', 'video_validation_0000154', 'video_validation_0000155', 'video_validation_0000158', 'video_validation_0000159', 'video_validation_0000901', 'video_validation_0000903', 'video_validation_0000902', 'video_validation_0000905', 'video_validation_0000904', 'video_validation_0000907', 'video_validation_0000906', 'video_validation_0000909', 'video_validation_0000908', 'video_validation_0000490', 'video_validation_0000860', 'video_validation_0000858', 'video_validation_0000988', 'video_validation_0000320', 'video_validation_0000688', 'video_validation_0000689', 'video_validation_0000686', 'video_validation_0000687', 'video_validation_0000684', 'video_validation_0000685', 'video_validation_0000682', 'video_validation_0000683', 'video_validation_0000681', 'video_validation_0000789', 'video_validation_0000986', 'video_validation_0000931', 'video_validation_0000852', 'video_validation_0000666']
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test_session_set:['video_test_0000292', 'video_test_0001078', 'video_test_0000896', 'video_test_0000897', 'video_test_0000950', 'video_test_0001159', 'video_test_0001079', 'video_test_0000807', 'video_test_0000179', 'video_test_0000173', 'video_test_0001072', 'video_test_0001075', 'video_test_0000767', 'video_test_0001076', 'video_test_0000007', 'video_test_0000006', 'video_test_0000556', 'video_test_0001307', 'video_test_0001153', 'video_test_0000718', 'video_test_0000716', 'video_test_0001309', 'video_test_0000714', 'video_test_0000558', 'video_test_0001267', 'video_test_0000367', 'video_test_0001324', 'video_test_0000085', 'video_test_0000887', 'video_test_0001281', 'video_test_0000882', 'video_test_0000671', 'video_test_0000964', 'video_test_0001164', 'video_test_0001114', 'video_test_0000771', 'video_test_0001163', 'video_test_0001118', 'video_test_0001201', 'video_test_0001040', 'video_test_0001207', 'video_test_0000723', 'video_test_0000569', 'video_test_0000672', 'video_test_0000673', 'video_test_0000278', 'video_test_0001162', 'video_test_0000405', 'video_test_0000073', 'video_test_0000560', 'video_test_0001276', 'video_test_0000270', 'video_test_0000273', 'video_test_0000374', 'video_test_0000372', 'video_test_0001168', 'video_test_0000379', 'video_test_0001446', 'video_test_0001447', 'video_test_0001098', 'video_test_0000873', 'video_test_0000039', 'video_test_0000442', 'video_test_0001219', 'video_test_0000762', 'video_test_0000611', 'video_test_0000617', 'video_test_0000615', 'video_test_0001270', 'video_test_0000740', 'video_test_0000293', 'video_test_0000504', 'video_test_0000505', 'video_test_0000665', 'video_test_0000664', 'video_test_0000577', 'video_test_0000814', 'video_test_0001369', 'video_test_0001194', 'video_test_0001195', 'video_test_0001512', 'video_test_0001235', 'video_test_0001459', 'video_test_0000691', 'video_test_0000765', 'video_test_0001452', 'video_test_0000188', 'video_test_0000591', 'video_test_0001268', 'video_test_0000593', 'video_test_0000864', 'video_test_0000601', 'video_test_0001135', 'video_test_0000004', 'video_test_0000903', 'video_test_0000285', 'video_test_0001174', 'video_test_0000046', 'video_test_0000045', 'video_test_0001223', 'video_test_0001358', 'video_test_0001134', 'video_test_0000698', 'video_test_0000461', 'video_test_0001182', 'video_test_0000450', 'video_test_0000602', 'video_test_0001229', 'video_test_0000989', 'video_test_0000357', 'video_test_0001039', 'video_test_0000355', 'video_test_0000353', 'video_test_0001508', 'video_test_0000981', 'video_test_0000242', 'video_test_0000854', 'video_test_0001484', 'video_test_0000635', 'video_test_0001129', 'video_test_0001339', 'video_test_0001483', 'video_test_0001123', 'video_test_0001127', 'video_test_0000689', 'video_test_0000756', 'video_test_0001431', 'video_test_0000129', 'video_test_0001433', 'video_test_0001343', 'video_test_0000324', 'video_test_0001064', 'video_test_0001531', 'video_test_0001532', 'video_test_0000413', 'video_test_0000991', 'video_test_0001255', 'video_test_0000464', 'video_test_0001202', 'video_test_0001080', 'video_test_0001081', 'video_test_0000847', 'video_test_0000028', 'video_test_0000844', 'video_test_0000622', 'video_test_0000026', 'video_test_0001325', 'video_test_0001496', 'video_test_0001495', 'video_test_0000624', 'video_test_0000724', 'video_test_0001409', 'video_test_0000131', 'video_test_0000448', 'video_test_0000444', 'video_test_0000443', 'video_test_0001038', 'video_test_0000238', 'video_test_0001527', 'video_test_0001522', 'video_test_0000051', 'video_test_0001058', 'video_test_0001391', 'video_test_0000429', 'video_test_0000426', 'video_test_0000785', 'video_test_0000786', 'video_test_0001314', 'video_test_0000392', 'video_test_0000423', 'video_test_0001146', 'video_test_0001313', 'video_test_0001008', 'video_test_0001247', 'video_test_0000737', 'video_test_0001319', 'video_test_0000308', 'video_test_0000730', 'video_test_0000058', 'video_test_0000538', 'video_test_0001556', 'video_test_0000113', 'video_test_0000626', 'video_test_0000839', 'video_test_0000220', 'video_test_0001389', 'video_test_0000437', 'video_test_0000940', 'video_test_0000211', 'video_test_0000946', 'video_test_0001558', 'video_test_0000796', 'video_test_0000062', 'video_test_0000793', 'video_test_0000987', 'video_test_0001066', 'video_test_0000412', 'video_test_0000798', 'video_test_0001549', 'video_test_0000011', 'video_test_0001257', 'video_test_0000541', 'video_test_0000701', 'video_test_0000250', 'video_test_0000254', 'video_test_0000549', 'video_test_0001209', 'video_test_0001463', 'video_test_0001460', 'video_test_0000319', 'video_test_0001468', 'video_test_0000846', 'video_test_0001292']
class_index:['Background', 'BaseballPitch', 'BasketballDunk', 'Billiards', 'CleanAndJerk', 'CliffDiving', 'CricketBowling', 'CricketShot', 'Diving', 'FrisbeeCatch', 'GolfSwing', 'HammerThrow', 'HighJump', 'JavelinThrow', 'LongJump', 'PoleVault', 'Shotput', 'SoccerPenalty', 'TennisSwing', 'ThrowDiscus', 'VolleyballSpiking', 'Ambiguous']
distributed:False
position encoding : recycling_learned
Sequential(
9.463 M, 99.248% Params, 0.01 GMac, 100.000% MACs,
(0): Linear(3.147 M, 33.004% Params, 0.003 GMac, 32.782% MACs, in_features=3072, out_features=1024, bias=True, channel_dim=1)
(1): RecyclingPositionalEncoding(
0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs,
(pe): Embedding(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 64, 1024)
)
(2): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
(3): Sequential(
6.294 M, 66.008% Params, 0.006 GMac, 66.983% MACs,
(0): BroadcastReduce(
4.194 M, 43.991% Params, 0.004 GMac, 45.093% MACs, reduce=sum_last_pairs
(0): SelectOrDelay(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 0)
(1): CoSiMultiheadAttention(
4.194 M, 43.991% Params, 0.004 GMac, 45.093% MACs,
(out_proj): NonDynamicallyQuantizableLinear(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=False)
)
)
(1): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
(2): BroadcastReduce(
2.099 M, 22.017% Params, 0.002 GMac, 21.890% MACs, reduce=reduce_sum
(0): Delay(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 0)
(1): Sequential(
2.099 M, 22.017% Params, 0.002 GMac, 21.890% MACs,
(0): Linear(1.05 M, 11.008% Params, 0.001 GMac, 10.934% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(1): GELU(0.0 M, 0.000% Params, 0.0 GMac, 0.021% MACs, )
(2): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
(3): Linear(1.05 M, 11.008% Params, 0.001 GMac, 10.934% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(4): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
)
)
(3): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
)
(4): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
(5): Linear(0.023 M, 0.237% Params, 0.0 GMac, 0.235% MACs, in_features=1024, out_features=22, bias=True, channel_dim=1)
)
Model FLOPs: 9598998.0
Model params: 9534486
Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument index in method wrapper__index_select)
Loaded data/thumos_anet_val.pickle
Loaded data/thumos_anet_test.pickle
Start training
Epoch: [1] [ 0/1406] eta: 0:47:38 lr: 0.000100 loss: 3.3168 (3.3168) labels_encoder: 3.3168 (3.3168) labels_encoder_unscaled: 3.3168 (3.3168) time: 2.0331 data: 1.9197 max mem: 416
Epoch: [1] [ 50/1406] eta: 0:01:52 lr: 0.000100 loss: 0.7181 (1.0269) labels_encoder: 0.7181 (1.0269) labels_encoder_unscaled: 0.7181 (1.0269) time: 0.0428 data: 0.0135 max mem: 514
Epoch: [1] [ 100/1406] eta: 0:01:21 lr: 0.000100 loss: 0.5456 (0.8346) labels_encoder: 0.5456 (0.8346) labels_encoder_unscaled: 0.5456 (0.8346) time: 0.0386 data: 0.0013 max mem: 514
Epoch: [1] [ 150/1406] eta: 0:01:08 lr: 0.000100 loss: 0.4518 (0.7281) labels_encoder: 0.4518 (0.7281) labels_encoder_unscaled: 0.4518 (0.7281) time: 0.0381 data: 0.0015 max mem: 514
Epoch: [1] [ 200/1406] eta: 0:01:03 lr: 0.000100 loss: 0.5004 (0.6765) labels_encoder: 0.5004 (0.6765) labels_encoder_unscaled: 0.5004 (0.6765) time: 0.0497 data: 0.0204 max mem: 514
Epoch: [1] [ 250/1406] eta: 0:00:57 lr: 0.000100 loss: 0.4798 (0.6347) labels_encoder: 0.4798 (0.6347) labels_encoder_unscaled: 0.4798 (0.6347) time: 0.0388 data: 0.0021 max mem: 514
Epoch: [1] [ 300/1406] eta: 0:00:53 lr: 0.000100 loss: 0.4342 (0.6060) labels_encoder: 0.4342 (0.6060) labels_encoder_unscaled: 0.4342 (0.6060) time: 0.0425 data: 0.0031 max mem: 514
Epoch: [1] [ 350/1406] eta: 0:00:50 lr: 0.000100 loss: 0.4101 (0.5784) labels_encoder: 0.4101 (0.5784) labels_encoder_unscaled: 0.4101 (0.5784) time: 0.0424 data: 0.0072 max mem: 514
Epoch: [1] [ 400/1406] eta: 0:00:48 lr: 0.000100 loss: 0.3761 (0.5558) labels_encoder: 0.3761 (0.5558) labels_encoder_unscaled: 0.3761 (0.5558) time: 0.0495 data: 0.0154 max mem: 514
Epoch: [1] [ 450/1406] eta: 0:00:45 lr: 0.000100 loss: 0.3948 (0.5406) labels_encoder: 0.3948 (0.5406) labels_encoder_unscaled: 0.3948 (0.5406) time: 0.0491 data: 0.0232 max mem: 514
Epoch: [1] [ 500/1406] eta: 0:00:43 lr: 0.000100 loss: 0.3623 (0.5242) labels_encoder: 0.3623 (0.5242) labels_encoder_unscaled: 0.3623 (0.5242) time: 0.0430 data: 0.0094 max mem: 514
Epoch: [1] [ 550/1406] eta: 0:00:40 lr: 0.000100 loss: 0.3812 (0.5134) labels_encoder: 0.3812 (0.5134) labels_encoder_unscaled: 0.3812 (0.5134) time: 0.0397 data: 0.0002 max mem: 514
Epoch: [1] [ 600/1406] eta: 0:00:37 lr: 0.000100 loss: 0.3453 (0.5040) labels_encoder: 0.3453 (0.5040) labels_encoder_unscaled: 0.3453 (0.5040) time: 0.0414 data: 0.0047 max mem: 514
Epoch: [1] [ 650/1406] eta: 0:00:35 lr: 0.000100 loss: 0.3639 (0.4940) labels_encoder: 0.3639 (0.4940) labels_encoder_unscaled: 0.3639 (0.4940) time: 0.0451 data: 0.0126 max mem: 514
Epoch: [1] [ 700/1406] eta: 0:00:32 lr: 0.000100 loss: 0.3198 (0.4839) labels_encoder: 0.3198 (0.4839) labels_encoder_unscaled: 0.3198 (0.4839) time: 0.0394 data: 0.0045 max mem: 514
Epoch: [1] [ 750/1406] eta: 0:00:30 lr: 0.000100 loss: 0.3416 (0.4727) labels_encoder: 0.3416 (0.4727) labels_encoder_unscaled: 0.3416 (0.4727) time: 0.0363 data: 0.0002 max mem: 514
Epoch: [1] [ 800/1406] eta: 0:00:27 lr: 0.000100 loss: 0.3343 (0.4642) labels_encoder: 0.3343 (0.4642) labels_encoder_unscaled: 0.3343 (0.4642) time: 0.0359 data: 0.0002 max mem: 514
Epoch: [1] [ 850/1406] eta: 0:00:25 lr: 0.000100 loss: 0.3132 (0.4552) labels_encoder: 0.3132 (0.4552) labels_encoder_unscaled: 0.3132 (0.4552) time: 0.0399 data: 0.0015 max mem: 514
Epoch: [1] [ 900/1406] eta: 0:00:22 lr: 0.000100 loss: 0.2846 (0.4473) labels_encoder: 0.2846 (0.4473) labels_encoder_unscaled: 0.2846 (0.4473) time: 0.0403 data: 0.0002 max mem: 514
Epoch: [1] [ 950/1406] eta: 0:00:20 lr: 0.000100 loss: 0.3213 (0.4399) labels_encoder: 0.3213 (0.4399) labels_encoder_unscaled: 0.3213 (0.4399) time: 0.0373 data: 0.0002 max mem: 514
Epoch: [1] [1000/1406] eta: 0:00:17 lr: 0.000100 loss: 0.2983 (0.4337) labels_encoder: 0.2983 (0.4337) labels_encoder_unscaled: 0.2983 (0.4337) time: 0.0384 data: 0.0002 max mem: 514
Epoch: [1] [1050/1406] eta: 0:00:15 lr: 0.000100 loss: 0.2808 (0.4273) labels_encoder: 0.2808 (0.4273) labels_encoder_unscaled: 0.2808 (0.4273) time: 0.0384 data: 0.0002 max mem: 514
Epoch: [1] [1100/1406] eta: 0:00:13 lr: 0.000100 loss: 0.3003 (0.4216) labels_encoder: 0.3003 (0.4216) labels_encoder_unscaled: 0.3003 (0.4216) time: 0.0402 data: 0.0011 max mem: 514
Epoch: [1] [1150/1406] eta: 0:00:11 lr: 0.000100 loss: 0.2963 (0.4163) labels_encoder: 0.2963 (0.4163) labels_encoder_unscaled: 0.2963 (0.4163) time: 0.0411 data: 0.0011 max mem: 514
Epoch: [1] [1200/1406] eta: 0:00:08 lr: 0.000100 loss: 0.2979 (0.4123) labels_encoder: 0.2979 (0.4123) labels_encoder_unscaled: 0.2979 (0.4123) time: 0.0393 data: 0.0002 max mem: 514
Epoch: [1] [1250/1406] eta: 0:00:06 lr: 0.000100 loss: 0.2710 (0.4078) labels_encoder: 0.2710 (0.4078) labels_encoder_unscaled: 0.2710 (0.4078) time: 0.0387 data: 0.0040 max mem: 514
Epoch: [1] [1300/1406] eta: 0:00:04 lr: 0.000100 loss: 0.2914 (0.4036) labels_encoder: 0.2914 (0.4036) labels_encoder_unscaled: 0.2914 (0.4036) time: 0.0395 data: 0.0002 max mem: 514
Epoch: [1] [1350/1406] eta: 0:00:02 lr: 0.000100 loss: 0.2884 (0.3996) labels_encoder: 0.2884 (0.3996) labels_encoder_unscaled: 0.2884 (0.3996) time: 0.0394 data: 0.0002 max mem: 514
Epoch: [1] [1400/1406] eta: 0:00:00 lr: 0.000100 loss: 0.2700 (0.3952) labels_encoder: 0.2700 (0.3952) labels_encoder_unscaled: 0.2700 (0.3952) time: 0.0375 data: 0.0003 max mem: 514
Epoch: [1] [1405/1406] eta: 0:00:00 lr: 0.000100 loss: 0.2700 (0.3948) labels_encoder: 0.2700 (0.3948) labels_encoder_unscaled: 0.2700 (0.3948) time: 0.0362 data: 0.0003 max mem: 514
Epoch: [1] Total time: 0:01:00 (0.0431 s / it)
Averaged stats: lr: 0.000100 loss: 0.2700 (0.3948) labels_encoder: 0.2700 (0.3948) labels_encoder_unscaled: 0.2700 (0.3948)
Test: [ 0/1613] eta: 0:40:45 loss: 0.0769 (0.0769) labels_encoder: 0.0769 (0.0769) labels_encoder_unscaled: 0.0769 (0.0769) time: 1.5159 data: 1.5000 max mem: 514
Test: [ 50/1613] eta: 0:01:55 loss: 0.3177 (0.5664) labels_encoder: 0.3177 (0.5664) labels_encoder_unscaled: 0.3177 (0.5664) time: 0.0456 data: 0.0278 max mem: 514
Test: [ 100/1613] eta: 0:01:28 loss: 0.0824 (0.4643) labels_encoder: 0.0824 (0.4643) labels_encoder_unscaled: 0.0824 (0.4643) time: 0.0422 data: 0.0259 max mem: 514
Test: [ 150/1613] eta: 0:01:19 loss: 0.2463 (0.4531) labels_encoder: 0.2463 (0.4531) labels_encoder_unscaled: 0.2463 (0.4531) time: 0.0491 data: 0.0339 max mem: 514
Test: [ 200/1613] eta: 0:01:15 loss: 0.8702 (0.5494) labels_encoder: 0.8702 (0.5494) labels_encoder_unscaled: 0.8702 (0.5494) time: 0.0547 data: 0.0396 max mem: 514
Test: [ 250/1613] eta: 0:01:11 loss: 0.3102 (0.5925) labels_encoder: 0.3102 (0.5925) labels_encoder_unscaled: 0.3102 (0.5925) time: 0.0479 data: 0.0332 max mem: 514
Test: [ 300/1613] eta: 0:01:08 loss: 0.2893 (0.6151) labels_encoder: 0.2893 (0.6151) labels_encoder_unscaled: 0.2893 (0.6151) time: 0.0476 data: 0.0327 max mem: 514
Test: [ 350/1613] eta: 0:01:05 loss: 0.8910 (0.6087) labels_encoder: 0.8910 (0.6087) labels_encoder_unscaled: 0.8910 (0.6087) time: 0.0490 data: 0.0345 max mem: 514
Test: [ 400/1613] eta: 0:01:02 loss: 0.4419 (0.6875) labels_encoder: 0.4419 (0.6875) labels_encoder_unscaled: 0.4419 (0.6875) time: 0.0492 data: 0.0336 max mem: 514
Test: [ 450/1613] eta: 0:00:58 loss: 0.4821 (0.7238) labels_encoder: 0.4821 (0.7238) labels_encoder_unscaled: 0.4821 (0.7238) time: 0.0478 data: 0.0327 max mem: 514
Test: [ 500/1613] eta: 0:00:56 loss: 0.2939 (0.6958) labels_encoder: 0.2939 (0.6958) labels_encoder_unscaled: 0.2939 (0.6958) time: 0.0480 data: 0.0314 max mem: 514
Test: [ 550/1613] eta: 0:00:53 loss: 0.5274 (0.6916) labels_encoder: 0.5274 (0.6916) labels_encoder_unscaled: 0.5274 (0.6916) time: 0.0493 data: 0.0346 max mem: 514
Test: [ 600/1613] eta: 0:00:50 loss: 0.5489 (0.7009) labels_encoder: 0.5489 (0.7009) labels_encoder_unscaled: 0.5489 (0.7009) time: 0.0488 data: 0.0348 max mem: 514
Test: [ 650/1613] eta: 0:00:48 loss: 0.5383 (0.6851) labels_encoder: 0.5383 (0.6851) labels_encoder_unscaled: 0.5383 (0.6851) time: 0.0514 data: 0.0365 max mem: 514
Test: [ 700/1613] eta: 0:00:45 loss: 0.3393 (0.6747) labels_encoder: 0.3393 (0.6747) labels_encoder_unscaled: 0.3393 (0.6747) time: 0.0474 data: 0.0302 max mem: 514
Test: [ 750/1613] eta: 0:00:42 loss: 0.3662 (0.6663) labels_encoder: 0.3662 (0.6663) labels_encoder_unscaled: 0.3662 (0.6663) time: 0.0459 data: 0.0308 max mem: 514
Test: [ 800/1613] eta: 0:00:40 loss: 0.5510 (0.6697) labels_encoder: 0.5510 (0.6697) labels_encoder_unscaled: 0.5510 (0.6697) time: 0.0439 data: 0.0276 max mem: 514
Test: [ 850/1613] eta: 0:00:37 loss: 1.4029 (0.6916) labels_encoder: 1.4029 (0.6916) labels_encoder_unscaled: 1.4029 (0.6916) time: 0.0477 data: 0.0293 max mem: 514
Test: [ 900/1613] eta: 0:00:35 loss: 0.5646 (0.7017) labels_encoder: 0.5646 (0.7017) labels_encoder_unscaled: 0.5646 (0.7017) time: 0.0478 data: 0.0335 max mem: 514
Test: [ 950/1613] eta: 0:00:32 loss: 0.7839 (0.7066) labels_encoder: 0.7839 (0.7066) labels_encoder_unscaled: 0.7839 (0.7066) time: 0.0498 data: 0.0344 max mem: 514
Test: [1000/1613] eta: 0:00:30 loss: 0.3149 (0.6987) labels_encoder: 0.3149 (0.6987) labels_encoder_unscaled: 0.3149 (0.6987) time: 0.0487 data: 0.0337 max mem: 514
Test: [1050/1613] eta: 0:00:27 loss: 0.6772 (0.7021) labels_encoder: 0.6772 (0.7021) labels_encoder_unscaled: 0.6772 (0.7021) time: 0.0506 data: 0.0350 max mem: 514
Test: [1100/1613] eta: 0:00:25 loss: 0.6880 (0.7087) labels_encoder: 0.6880 (0.7087) labels_encoder_unscaled: 0.6880 (0.7087) time: 0.0501 data: 0.0336 max mem: 514
Test: [1150/1613] eta: 0:00:22 loss: 0.4285 (0.6973) labels_encoder: 0.4285 (0.6973) labels_encoder_unscaled: 0.4285 (0.6973) time: 0.0483 data: 0.0334 max mem: 514
Test: [1200/1613] eta: 0:00:20 loss: 0.4644 (0.6988) labels_encoder: 0.4644 (0.6988) labels_encoder_unscaled: 0.4644 (0.6988) time: 0.0485 data: 0.0335 max mem: 514
Test: [1250/1613] eta: 0:00:17 loss: 0.2527 (0.7011) labels_encoder: 0.2527 (0.7011) labels_encoder_unscaled: 0.2527 (0.7011) time: 0.0484 data: 0.0331 max mem: 514
Test: [1300/1613] eta: 0:00:15 loss: 0.3804 (0.6991) labels_encoder: 0.3804 (0.6991) labels_encoder_unscaled: 0.3804 (0.6991) time: 0.0475 data: 0.0319 max mem: 514
Test: [1350/1613] eta: 0:00:12 loss: 0.7829 (0.7096) labels_encoder: 0.7829 (0.7096) labels_encoder_unscaled: 0.7829 (0.7096) time: 0.0476 data: 0.0324 max mem: 514
Test: [1400/1613] eta: 0:00:10 loss: 0.4084 (0.7066) labels_encoder: 0.4084 (0.7066) labels_encoder_unscaled: 0.4084 (0.7066) time: 0.0467 data: 0.0314 max mem: 514
Test: [1450/1613] eta: 0:00:08 loss: 0.3499 (0.7086) labels_encoder: 0.3499 (0.7086) labels_encoder_unscaled: 0.3499 (0.7086) time: 0.0466 data: 0.0314 max mem: 514
Test: [1500/1613] eta: 0:00:05 loss: 0.5441 (0.7171) labels_encoder: 0.5441 (0.7171) labels_encoder_unscaled: 0.5441 (0.7171) time: 0.0501 data: 0.0355 max mem: 514
Test: [1550/1613] eta: 0:00:03 loss: 0.5781 (0.7191) labels_encoder: 0.5781 (0.7191) labels_encoder_unscaled: 0.5781 (0.7191) time: 0.0491 data: 0.0341 max mem: 514
Test: [1600/1613] eta: 0:00:00 loss: 0.7916 (0.7178) labels_encoder: 0.7916 (0.7178) labels_encoder_unscaled: 0.7916 (0.7178) time: 0.0426 data: 0.0274 max mem: 514
Test: [1612/1613] eta: 0:00:00 loss: 0.7916 (0.7171) labels_encoder: 0.7916 (0.7171) labels_encoder_unscaled: 0.7916 (0.7171) time: 0.0479 data: 0.0326 max mem: 514
Test: Total time: 0:01:19 (0.0493 s / it)
Averaged stats: loss: 0.7916 (0.7171) labels_encoder: 0.7916 (0.7171) labels_encoder_unscaled: 0.7916 (0.7171)
(21, 206375)
(21, 206375)
[Epoch-1] [IDU-anet] mAP: 0.5483, mcAP: 0.9748
BaseballPitch: 0.2285
BasketballDunk: 0.7280
Billiards: 0.3520
CleanAndJerk: 0.7659
CliffDiving: 0.8313
CricketBowling: 0.3692
CricketShot: 0.1818
Diving: 0.6814
FrisbeeCatch: 0.3636
GolfSwing: 0.4354
HammerThrow: 0.8354
HighJump: 0.5028
JavelinThrow: 0.6769
LongJump: 0.7885
PoleVault: 0.8670
Shotput: 0.6461
SoccerPenalty: 0.4189
TennisSwing: 0.4075
ThrowDiscus: 0.6299
VolleyballSpiking: 0.2566
Epoch: [2] [ 0/1406] eta: 0:33:41 lr: 0.000010 loss: 0.2593 (0.2593) labels_encoder: 0.2593 (0.2593) labels_encoder_unscaled: 0.2593 (0.2593) time: 1.4379 data: 1.3872 max mem: 514
Epoch: [2] [ 50/1406] eta: 0:01:35 lr: 0.000010 loss: 0.2275 (0.2317) labels_encoder: 0.2275 (0.2317) labels_encoder_unscaled: 0.2275 (0.2317) time: 0.0420 data: 0.0002 max mem: 514
Epoch: [2] [ 100/1406] eta: 0:01:13 lr: 0.000010 loss: 0.2337 (0.2357) labels_encoder: 0.2337 (0.2357) labels_encoder_unscaled: 0.2337 (0.2357) time: 0.0423 data: 0.0097 max mem: 514
Epoch: [2] [ 150/1406] eta: 0:01:05 lr: 0.000010 loss: 0.2133 (0.2296) labels_encoder: 0.2133 (0.2296) labels_encoder_unscaled: 0.2133 (0.2296) time: 0.0456 data: 0.0110 max mem: 514
Epoch: [2] [ 200/1406] eta: 0:01:00 lr: 0.000010 loss: 0.2213 (0.2309) labels_encoder: 0.2213 (0.2309) labels_encoder_unscaled: 0.2213 (0.2309) time: 0.0484 data: 0.0180 max mem: 514
Epoch: [2] [ 250/1406] eta: 0:00:56 lr: 0.000010 loss: 0.2023 (0.2275) labels_encoder: 0.2023 (0.2275) labels_encoder_unscaled: 0.2023 (0.2275) time: 0.0403 data: 0.0113 max mem: 514
Epoch: [2] [ 300/1406] eta: 0:00:53 lr: 0.000010 loss: 0.2372 (0.2271) labels_encoder: 0.2372 (0.2271) labels_encoder_unscaled: 0.2372 (0.2271) time: 0.0422 data: 0.0093 max mem: 514
Epoch: [2] [ 350/1406] eta: 0:00:50 lr: 0.000010 loss: 0.2162 (0.2278) labels_encoder: 0.2162 (0.2278) labels_encoder_unscaled: 0.2162 (0.2278) time: 0.0493 data: 0.0194 max mem: 514
Epoch: [2] [ 400/1406] eta: 0:00:47 lr: 0.000010 loss: 0.2342 (0.2274) labels_encoder: 0.2342 (0.2274) labels_encoder_unscaled: 0.2342 (0.2274) time: 0.0427 data: 0.0136 max mem: 514
Epoch: [2] [ 450/1406] eta: 0:00:44 lr: 0.000010 loss: 0.2022 (0.2263) labels_encoder: 0.2022 (0.2263) labels_encoder_unscaled: 0.2022 (0.2263) time: 0.0407 data: 0.0076 max mem: 514
Epoch: [2] [ 500/1406] eta: 0:00:42 lr: 0.000010 loss: 0.2145 (0.2254) labels_encoder: 0.2145 (0.2254) labels_encoder_unscaled: 0.2145 (0.2254) time: 0.0473 data: 0.0127 max mem: 514
Epoch: [2] [ 550/1406] eta: 0:00:39 lr: 0.000010 loss: 0.2089 (0.2246) labels_encoder: 0.2089 (0.2246) labels_encoder_unscaled: 0.2089 (0.2246) time: 0.0402 data: 0.0016 max mem: 514
Epoch: [2] [ 600/1406] eta: 0:00:36 lr: 0.000010 loss: 0.2091 (0.2233) labels_encoder: 0.2091 (0.2233) labels_encoder_unscaled: 0.2091 (0.2233) time: 0.0410 data: 0.0047 max mem: 514
Epoch: [2] [ 650/1406] eta: 0:00:34 lr: 0.000010 loss: 0.1894 (0.2217) labels_encoder: 0.1894 (0.2217) labels_encoder_unscaled: 0.1894 (0.2217) time: 0.0375 data: 0.0002 max mem: 514
Epoch: [2] [ 700/1406] eta: 0:00:31 lr: 0.000010 loss: 0.1991 (0.2211) labels_encoder: 0.1991 (0.2211) labels_encoder_unscaled: 0.1991 (0.2211) time: 0.0407 data: 0.0002 max mem: 514
Epoch: [2] [ 750/1406] eta: 0:00:29 lr: 0.000010 loss: 0.1893 (0.2202) labels_encoder: 0.1893 (0.2202) labels_encoder_unscaled: 0.1893 (0.2202) time: 0.0396 data: 0.0075 max mem: 514
Epoch: [2] [ 800/1406] eta: 0:00:26 lr: 0.000010 loss: 0.2361 (0.2204) labels_encoder: 0.2361 (0.2204) labels_encoder_unscaled: 0.2361 (0.2204) time: 0.0415 data: 0.0090 max mem: 514
Epoch: [2] [ 850/1406] eta: 0:00:24 lr: 0.000010 loss: 0.1988 (0.2195) labels_encoder: 0.1988 (0.2195) labels_encoder_unscaled: 0.1988 (0.2195) time: 0.0435 data: 0.0113 max mem: 514
Epoch: [2] [ 900/1406] eta: 0:00:22 lr: 0.000010 loss: 0.2034 (0.2187) labels_encoder: 0.2034 (0.2187) labels_encoder_unscaled: 0.2034 (0.2187) time: 0.0486 data: 0.0217 max mem: 514
Epoch: [2] [ 950/1406] eta: 0:00:20 lr: 0.000010 loss: 0.2031 (0.2176) labels_encoder: 0.2031 (0.2176) labels_encoder_unscaled: 0.2031 (0.2176) time: 0.0457 data: 0.0118 max mem: 514
Epoch: [2] [1000/1406] eta: 0:00:18 lr: 0.000010 loss: 0.2013 (0.2166) labels_encoder: 0.2013 (0.2166) labels_encoder_unscaled: 0.2013 (0.2166) time: 0.0507 data: 0.0203 max mem: 514
Epoch: [2] [1050/1406] eta: 0:00:15 lr: 0.000010 loss: 0.1898 (0.2163) labels_encoder: 0.1898 (0.2163) labels_encoder_unscaled: 0.1898 (0.2163) time: 0.0466 data: 0.0171 max mem: 514
Epoch: [2] [1100/1406] eta: 0:00:13 lr: 0.000010 loss: 0.2228 (0.2158) labels_encoder: 0.2228 (0.2158) labels_encoder_unscaled: 0.2228 (0.2158) time: 0.0478 data: 0.0194 max mem: 514
Epoch: [2] [1150/1406] eta: 0:00:11 lr: 0.000010 loss: 0.2042 (0.2153) labels_encoder: 0.2042 (0.2153) labels_encoder_unscaled: 0.2042 (0.2153) time: 0.0399 data: 0.0002 max mem: 514
Epoch: [2] [1200/1406] eta: 0:00:09 lr: 0.000010 loss: 0.1922 (0.2153) labels_encoder: 0.1922 (0.2153) labels_encoder_unscaled: 0.1922 (0.2153) time: 0.0466 data: 0.0157 max mem: 514
Epoch: [2] [1250/1406] eta: 0:00:06 lr: 0.000010 loss: 0.1825 (0.2145) labels_encoder: 0.1825 (0.2145) labels_encoder_unscaled: 0.1825 (0.2145) time: 0.0483 data: 0.0197 max mem: 514
Epoch: [2] [1300/1406] eta: 0:00:04 lr: 0.000010 loss: 0.1904 (0.2137) labels_encoder: 0.1904 (0.2137) labels_encoder_unscaled: 0.1904 (0.2137) time: 0.0381 data: 0.0071 max mem: 514
Epoch: [2] [1350/1406] eta: 0:00:02 lr: 0.000010 loss: 0.1870 (0.2133) labels_encoder: 0.1870 (0.2133) labels_encoder_unscaled: 0.1870 (0.2133) time: 0.0542 data: 0.0276 max mem: 514
Epoch: [2] [1400/1406] eta: 0:00:00 lr: 0.000010 loss: 0.1815 (0.2127) labels_encoder: 0.1815 (0.2127) labels_encoder_unscaled: 0.1815 (0.2127) time: 0.0429 data: 0.0072 max mem: 514
Epoch: [2] [1405/1406] eta: 0:00:00 lr: 0.000010 loss: 0.1854 (0.2127) labels_encoder: 0.1854 (0.2127) labels_encoder_unscaled: 0.1854 (0.2127) time: 0.0413 data: 0.0072 max mem: 514
Epoch: [2] Total time: 0:01:03 (0.0449 s / it)
Averaged stats: lr: 0.000010 loss: 0.1854 (0.2127) labels_encoder: 0.1854 (0.2127) labels_encoder_unscaled: 0.1854 (0.2127)
Test: [ 0/1613] eta: 0:40:02 loss: 0.3034 (0.3034) labels_encoder: 0.3034 (0.3034) labels_encoder_unscaled: 0.3034 (0.3034) time: 1.4892 data: 1.4726 max mem: 514
Test: [ 50/1613] eta: 0:01:46 loss: 0.2984 (0.6175) labels_encoder: 0.2984 (0.6175) labels_encoder_unscaled: 0.2984 (0.6175) time: 0.0495 data: 0.0359 max mem: 514
Test: [ 100/1613] eta: 0:01:27 loss: 0.0867 (0.4657) labels_encoder: 0.0867 (0.4657) labels_encoder_unscaled: 0.0867 (0.4657) time: 0.0415 data: 0.0244 max mem: 514
Test: [ 150/1613] eta: 0:01:16 loss: 0.4237 (0.4475) labels_encoder: 0.4237 (0.4475) labels_encoder_unscaled: 0.4237 (0.4475) time: 0.0442 data: 0.0287 max mem: 514
Test: [ 200/1613] eta: 0:01:11 loss: 0.7511 (0.5191) labels_encoder: 0.7511 (0.5191) labels_encoder_unscaled: 0.7511 (0.5191) time: 0.0422 data: 0.0271 max mem: 514
Test: [ 250/1613] eta: 0:01:07 loss: 0.2573 (0.5448) labels_encoder: 0.2573 (0.5448) labels_encoder_unscaled: 0.2573 (0.5448) time: 0.0489 data: 0.0333 max mem: 514
Test: [ 300/1613] eta: 0:01:04 loss: 0.2608 (0.5933) labels_encoder: 0.2608 (0.5933) labels_encoder_unscaled: 0.2608 (0.5933) time: 0.0449 data: 0.0295 max mem: 514
Test: [ 350/1613] eta: 0:01:02 loss: 0.7318 (0.5916) labels_encoder: 0.7318 (0.5916) labels_encoder_unscaled: 0.7318 (0.5916) time: 0.0501 data: 0.0356 max mem: 514
Test: [ 400/1613] eta: 0:00:59 loss: 0.4447 (0.6902) labels_encoder: 0.4447 (0.6902) labels_encoder_unscaled: 0.4447 (0.6902) time: 0.0468 data: 0.0317 max mem: 514
Test: [ 450/1613] eta: 0:00:56 loss: 0.4841 (0.7302) labels_encoder: 0.4841 (0.7302) labels_encoder_unscaled: 0.4841 (0.7302) time: 0.0479 data: 0.0326 max mem: 514
Test: [ 500/1613] eta: 0:00:53 loss: 0.1698 (0.6941) labels_encoder: 0.1698 (0.6941) labels_encoder_unscaled: 0.1698 (0.6941) time: 0.0471 data: 0.0320 max mem: 514
Test: [ 550/1613] eta: 0:00:51 loss: 0.4493 (0.7024) labels_encoder: 0.4493 (0.7024) labels_encoder_unscaled: 0.4493 (0.7024) time: 0.0527 data: 0.0357 max mem: 514
Test: [ 600/1613] eta: 0:00:49 loss: 0.6097 (0.7225) labels_encoder: 0.6097 (0.7225) labels_encoder_unscaled: 0.6097 (0.7225) time: 0.0487 data: 0.0306 max mem: 514
Test: [ 650/1613] eta: 0:00:46 loss: 0.5593 (0.7084) labels_encoder: 0.5593 (0.7084) labels_encoder_unscaled: 0.5593 (0.7084) time: 0.0489 data: 0.0336 max mem: 514
Test: [ 700/1613] eta: 0:00:44 loss: 0.3137 (0.6932) labels_encoder: 0.3137 (0.6932) labels_encoder_unscaled: 0.3137 (0.6932) time: 0.0475 data: 0.0319 max mem: 514
Test: [ 750/1613] eta: 0:00:41 loss: 0.3501 (0.6768) labels_encoder: 0.3501 (0.6768) labels_encoder_unscaled: 0.3501 (0.6768) time: 0.0441 data: 0.0267 max mem: 514
Test: [ 800/1613] eta: 0:00:38 loss: 0.4041 (0.6674) labels_encoder: 0.4041 (0.6674) labels_encoder_unscaled: 0.4041 (0.6674) time: 0.0455 data: 0.0301 max mem: 514
Test: [ 850/1613] eta: 0:00:36 loss: 1.0188 (0.6715) labels_encoder: 1.0188 (0.6715) labels_encoder_unscaled: 1.0188 (0.6715) time: 0.0407 data: 0.0254 max mem: 514
Test: [ 900/1613] eta: 0:00:33 loss: 0.4846 (0.6797) labels_encoder: 0.4846 (0.6797) labels_encoder_unscaled: 0.4846 (0.6797) time: 0.0447 data: 0.0289 max mem: 514
Test: [ 950/1613] eta: 0:00:31 loss: 0.5592 (0.6733) labels_encoder: 0.5592 (0.6733) labels_encoder_unscaled: 0.5592 (0.6733) time: 0.0484 data: 0.0331 max mem: 514
Test: [1000/1613] eta: 0:00:29 loss: 0.2878 (0.6635) labels_encoder: 0.2878 (0.6635) labels_encoder_unscaled: 0.2878 (0.6635) time: 0.0487 data: 0.0332 max mem: 514
Test: [1050/1613] eta: 0:00:26 loss: 0.5445 (0.6584) labels_encoder: 0.5445 (0.6584) labels_encoder_unscaled: 0.5445 (0.6584) time: 0.0498 data: 0.0338 max mem: 514
Test: [1100/1613] eta: 0:00:24 loss: 0.5652 (0.6570) labels_encoder: 0.5652 (0.6570) labels_encoder_unscaled: 0.5652 (0.6570) time: 0.0459 data: 0.0305 max mem: 514
Test: [1150/1613] eta: 0:00:21 loss: 0.2880 (0.6503) labels_encoder: 0.2880 (0.6503) labels_encoder_unscaled: 0.2880 (0.6503) time: 0.0445 data: 0.0291 max mem: 514
Test: [1200/1613] eta: 0:00:19 loss: 0.3806 (0.6526) labels_encoder: 0.3806 (0.6526) labels_encoder_unscaled: 0.3806 (0.6526) time: 0.0450 data: 0.0296 max mem: 514
Test: [1250/1613] eta: 0:00:17 loss: 0.2358 (0.6558) labels_encoder: 0.2358 (0.6558) labels_encoder_unscaled: 0.2358 (0.6558) time: 0.0436 data: 0.0272 max mem: 514
Test: [1300/1613] eta: 0:00:14 loss: 0.2977 (0.6538) labels_encoder: 0.2977 (0.6538) labels_encoder_unscaled: 0.2977 (0.6538) time: 0.0440 data: 0.0289 max mem: 514
Test: [1350/1613] eta: 0:00:12 loss: 0.5660 (0.6605) labels_encoder: 0.5660 (0.6605) labels_encoder_unscaled: 0.5660 (0.6605) time: 0.0411 data: 0.0262 max mem: 514
Test: [1400/1613] eta: 0:00:09 loss: 0.5310 (0.6597) labels_encoder: 0.5310 (0.6597) labels_encoder_unscaled: 0.5310 (0.6597) time: 0.0485 data: 0.0326 max mem: 514
Test: [1450/1613] eta: 0:00:07 loss: 0.3448 (0.6748) labels_encoder: 0.3448 (0.6748) labels_encoder_unscaled: 0.3448 (0.6748) time: 0.0463 data: 0.0324 max mem: 514
Test: [1500/1613] eta: 0:00:05 loss: 0.5145 (0.6912) labels_encoder: 0.5145 (0.6912) labels_encoder_unscaled: 0.5145 (0.6912) time: 0.0394 data: 0.0260 max mem: 514
Test: [1550/1613] eta: 0:00:02 loss: 0.5123 (0.6898) labels_encoder: 0.5123 (0.6898) labels_encoder_unscaled: 0.5123 (0.6898) time: 0.0409 data: 0.0243 max mem: 514
Test: [1600/1613] eta: 0:00:00 loss: 0.7433 (0.6863) labels_encoder: 0.7433 (0.6863) labels_encoder_unscaled: 0.7433 (0.6863) time: 0.0418 data: 0.0258 max mem: 514
Test: [1612/1613] eta: 0:00:00 loss: 0.7815 (0.6851) labels_encoder: 0.7815 (0.6851) labels_encoder_unscaled: 0.7815 (0.6851) time: 0.0386 data: 0.0224 max mem: 514
Test: Total time: 0:01:14 (0.0464 s / it)
Averaged stats: loss: 0.7815 (0.6851) labels_encoder: 0.7815 (0.6851) labels_encoder_unscaled: 0.7815 (0.6851)
(21, 206375)
(21, 206375)
[Epoch-2] [IDU-anet] mAP: 0.5577, mcAP: 0.9752
BaseballPitch: 0.1951
BasketballDunk: 0.7383
Billiards: 0.4016
CleanAndJerk: 0.7830
CliffDiving: 0.8294
CricketBowling: 0.3645
CricketShot: 0.1918
Diving: 0.7071
FrisbeeCatch: 0.3733
GolfSwing: 0.4922
HammerThrow: 0.8249
HighJump: 0.5522
JavelinThrow: 0.6955
LongJump: 0.7917
PoleVault: 0.8471
Shotput: 0.6592
SoccerPenalty: 0.4140
TennisSwing: 0.4683
ThrowDiscus: 0.5506
VolleyballSpiking: 0.2740
Epoch: [3] [ 0/1406] eta: 0:41:13 lr: 0.000001 loss: 0.1769 (0.1769) labels_encoder: 0.1769 (0.1769) labels_encoder_unscaled: 0.1769 (0.1769) time: 1.7590 data: 1.7268 max mem: 514
Epoch: [3] [ 50/1406] eta: 0:01:46 lr: 0.000001 loss: 0.1667 (0.1932) labels_encoder: 0.1667 (0.1932) labels_encoder_unscaled: 0.1667 (0.1932) time: 0.0459 data: 0.0106 max mem: 514
Epoch: [3] [ 100/1406] eta: 0:01:20 lr: 0.000001 loss: 0.1962 (0.1957) labels_encoder: 0.1962 (0.1957) labels_encoder_unscaled: 0.1962 (0.1957) time: 0.0443 data: 0.0125 max mem: 514
Epoch: [3] [ 150/1406] eta: 0:01:09 lr: 0.000001 loss: 0.1683 (0.1961) labels_encoder: 0.1683 (0.1961) labels_encoder_unscaled: 0.1683 (0.1961) time: 0.0406 data: 0.0064 max mem: 514
Epoch: [3] [ 200/1406] eta: 0:01:02 lr: 0.000001 loss: 0.1851 (0.1954) labels_encoder: 0.1851 (0.1954) labels_encoder_unscaled: 0.1851 (0.1954) time: 0.0425 data: 0.0169 max mem: 514
Epoch: [3] [ 250/1406] eta: 0:00:57 lr: 0.000001 loss: 0.1757 (0.1926) labels_encoder: 0.1757 (0.1926) labels_encoder_unscaled: 0.1757 (0.1926) time: 0.0419 data: 0.0125 max mem: 514
Epoch: [3] [ 300/1406] eta: 0:00:53 lr: 0.000001 loss: 0.1831 (0.1928) labels_encoder: 0.1831 (0.1928) labels_encoder_unscaled: 0.1831 (0.1928) time: 0.0409 data: 0.0073 max mem: 514
Epoch: [3] [ 350/1406] eta: 0:00:50 lr: 0.000001 loss: 0.1862 (0.1920) labels_encoder: 0.1862 (0.1920) labels_encoder_unscaled: 0.1862 (0.1920) time: 0.0415 data: 0.0097 max mem: 514
Epoch: [3] [ 400/1406] eta: 0:00:47 lr: 0.000001 loss: 0.1910 (0.1917) labels_encoder: 0.1910 (0.1917) labels_encoder_unscaled: 0.1910 (0.1917) time: 0.0412 data: 0.0094 max mem: 514
Epoch: [3] [ 450/1406] eta: 0:00:44 lr: 0.000001 loss: 0.1943 (0.1915) labels_encoder: 0.1943 (0.1915) labels_encoder_unscaled: 0.1943 (0.1915) time: 0.0403 data: 0.0083 max mem: 514
Epoch: [3] [ 500/1406] eta: 0:00:41 lr: 0.000001 loss: 0.1968 (0.1912) labels_encoder: 0.1968 (0.1912) labels_encoder_unscaled: 0.1968 (0.1912) time: 0.0408 data: 0.0058 max mem: 514
Epoch: [3] [ 550/1406] eta: 0:00:38 lr: 0.000001 loss: 0.2194 (0.1920) labels_encoder: 0.2194 (0.1920) labels_encoder_unscaled: 0.2194 (0.1920) time: 0.0390 data: 0.0002 max mem: 514
Epoch: [3] [ 600/1406] eta: 0:00:36 lr: 0.000001 loss: 0.2185 (0.1923) labels_encoder: 0.2185 (0.1923) labels_encoder_unscaled: 0.2185 (0.1923) time: 0.0408 data: 0.0002 max mem: 514
Epoch: [3] [ 650/1406] eta: 0:00:33 lr: 0.000001 loss: 0.1992 (0.1926) labels_encoder: 0.1992 (0.1926) labels_encoder_unscaled: 0.1992 (0.1926) time: 0.0373 data: 0.0002 max mem: 514
Epoch: [3] [ 700/1406] eta: 0:00:31 lr: 0.000001 loss: 0.1854 (0.1927) labels_encoder: 0.1854 (0.1927) labels_encoder_unscaled: 0.1854 (0.1927) time: 0.0381 data: 0.0002 max mem: 514
Epoch: [3] [ 750/1406] eta: 0:00:28 lr: 0.000001 loss: 0.1969 (0.1929) labels_encoder: 0.1969 (0.1929) labels_encoder_unscaled: 0.1969 (0.1929) time: 0.0401 data: 0.0043 max mem: 514
Epoch: [3] [ 800/1406] eta: 0:00:26 lr: 0.000001 loss: 0.1841 (0.1930) labels_encoder: 0.1841 (0.1930) labels_encoder_unscaled: 0.1841 (0.1930) time: 0.0383 data: 0.0058 max mem: 514
Epoch: [3] [ 850/1406] eta: 0:00:24 lr: 0.000001 loss: 0.1749 (0.1928) labels_encoder: 0.1749 (0.1928) labels_encoder_unscaled: 0.1749 (0.1928) time: 0.0412 data: 0.0050 max mem: 514
Epoch: [3] [ 900/1406] eta: 0:00:21 lr: 0.000001 loss: 0.1830 (0.1923) labels_encoder: 0.1830 (0.1923) labels_encoder_unscaled: 0.1830 (0.1923) time: 0.0411 data: 0.0002 max mem: 514
Epoch: [3] [ 950/1406] eta: 0:00:19 lr: 0.000001 loss: 0.1788 (0.1924) labels_encoder: 0.1788 (0.1924) labels_encoder_unscaled: 0.1788 (0.1924) time: 0.0462 data: 0.0121 max mem: 514
Epoch: [3] [1000/1406] eta: 0:00:17 lr: 0.000001 loss: 0.1780 (0.1918) labels_encoder: 0.1780 (0.1918) labels_encoder_unscaled: 0.1780 (0.1918) time: 0.0412 data: 0.0109 max mem: 514
Epoch: [3] [1050/1406] eta: 0:00:15 lr: 0.000001 loss: 0.2138 (0.1923) labels_encoder: 0.2138 (0.1923) labels_encoder_unscaled: 0.2138 (0.1923) time: 0.0392 data: 0.0012 max mem: 514
Epoch: [3] [1100/1406] eta: 0:00:13 lr: 0.000001 loss: 0.1985 (0.1924) labels_encoder: 0.1985 (0.1924) labels_encoder_unscaled: 0.1985 (0.1924) time: 0.0375 data: 0.0002 max mem: 514
Epoch: [3] [1150/1406] eta: 0:00:10 lr: 0.000001 loss: 0.1880 (0.1922) labels_encoder: 0.1880 (0.1922) labels_encoder_unscaled: 0.1880 (0.1922) time: 0.0422 data: 0.0125 max mem: 514
Epoch: [3] [1200/1406] eta: 0:00:08 lr: 0.000001 loss: 0.1821 (0.1924) labels_encoder: 0.1821 (0.1924) labels_encoder_unscaled: 0.1821 (0.1924) time: 0.0406 data: 0.0021 max mem: 514
Epoch: [3] [1250/1406] eta: 0:00:06 lr: 0.000001 loss: 0.2093 (0.1929) labels_encoder: 0.2093 (0.1929) labels_encoder_unscaled: 0.2093 (0.1929) time: 0.0405 data: 0.0055 max mem: 514
Epoch: [3] [1300/1406] eta: 0:00:04 lr: 0.000001 loss: 0.1884 (0.1930) labels_encoder: 0.1884 (0.1930) labels_encoder_unscaled: 0.1884 (0.1930) time: 0.0399 data: 0.0116 max mem: 514
Epoch: [3] [1350/1406] eta: 0:00:02 lr: 0.000001 loss: 0.1840 (0.1928) labels_encoder: 0.1840 (0.1928) labels_encoder_unscaled: 0.1840 (0.1928) time: 0.0411 data: 0.0016 max mem: 514
Epoch: [3] [1400/1406] eta: 0:00:00 lr: 0.000001 loss: 0.1900 (0.1932) labels_encoder: 0.1900 (0.1932) labels_encoder_unscaled: 0.1900 (0.1932) time: 0.0414 data: 0.0099 max mem: 514
Epoch: [3] [1405/1406] eta: 0:00:00 lr: 0.000001 loss: 0.1860 (0.1931) labels_encoder: 0.1860 (0.1931) labels_encoder_unscaled: 0.1860 (0.1931) time: 0.0412 data: 0.0119 max mem: 514
Epoch: [3] Total time: 0:00:59 (0.0426 s / it)
Averaged stats: lr: 0.000001 loss: 0.1860 (0.1931) labels_encoder: 0.1860 (0.1931) labels_encoder_unscaled: 0.1860 (0.1931)
Test: [ 0/1613] eta: 0:38:54 loss: 0.3523 (0.3523) labels_encoder: 0.3523 (0.3523) labels_encoder_unscaled: 0.3523 (0.3523) time: 1.4475 data: 1.4291 max mem: 514
Test: [ 50/1613] eta: 0:01:51 loss: 0.2910 (0.6066) labels_encoder: 0.2910 (0.6066) labels_encoder_unscaled: 0.2910 (0.6066) time: 0.0416 data: 0.0265 max mem: 514
Test: [ 100/1613] eta: 0:01:27 loss: 0.0808 (0.4647) labels_encoder: 0.0808 (0.4647) labels_encoder_unscaled: 0.0808 (0.4647) time: 0.0444 data: 0.0283 max mem: 514
Test: [ 150/1613] eta: 0:01:18 loss: 0.4594 (0.4448) labels_encoder: 0.4594 (0.4448) labels_encoder_unscaled: 0.4594 (0.4448) time: 0.0437 data: 0.0279 max mem: 514
Test: [ 200/1613] eta: 0:01:11 loss: 0.7653 (0.5188) labels_encoder: 0.7653 (0.5188) labels_encoder_unscaled: 0.7653 (0.5188) time: 0.0397 data: 0.0215 max mem: 514
Test: [ 250/1613] eta: 0:01:06 loss: 0.2899 (0.5441) labels_encoder: 0.2899 (0.5441) labels_encoder_unscaled: 0.2899 (0.5441) time: 0.0435 data: 0.0281 max mem: 514
Test: [ 300/1613] eta: 0:01:03 loss: 0.3033 (0.5837) labels_encoder: 0.3033 (0.5837) labels_encoder_unscaled: 0.3033 (0.5837) time: 0.0414 data: 0.0235 max mem: 514
Test: [ 350/1613] eta: 0:00:59 loss: 0.6773 (0.5785) labels_encoder: 0.6773 (0.5785) labels_encoder_unscaled: 0.6773 (0.5785) time: 0.0384 data: 0.0213 max mem: 514
Test: [ 400/1613] eta: 0:00:56 loss: 0.4585 (0.6637) labels_encoder: 0.4585 (0.6637) labels_encoder_unscaled: 0.4585 (0.6637) time: 0.0418 data: 0.0270 max mem: 514
Test: [ 450/1613] eta: 0:00:53 loss: 0.5035 (0.7079) labels_encoder: 0.5035 (0.7079) labels_encoder_unscaled: 0.5035 (0.7079) time: 0.0423 data: 0.0265 max mem: 514
Test: [ 500/1613] eta: 0:00:50 loss: 0.1863 (0.6770) labels_encoder: 0.1863 (0.6770) labels_encoder_unscaled: 0.1863 (0.6770) time: 0.0454 data: 0.0276 max mem: 514
Test: [ 550/1613] eta: 0:00:48 loss: 0.4137 (0.6843) labels_encoder: 0.4137 (0.6843) labels_encoder_unscaled: 0.4137 (0.6843) time: 0.0456 data: 0.0297 max mem: 514
Test: [ 600/1613] eta: 0:00:45 loss: 0.5999 (0.7046) labels_encoder: 0.5999 (0.7046) labels_encoder_unscaled: 0.5999 (0.7046) time: 0.0438 data: 0.0294 max mem: 514
Test: [ 650/1613] eta: 0:00:43 loss: 0.6445 (0.6920) labels_encoder: 0.6445 (0.6920) labels_encoder_unscaled: 0.6445 (0.6920) time: 0.0415 data: 0.0263 max mem: 514
Test: [ 700/1613] eta: 0:00:41 loss: 0.3689 (0.6780) labels_encoder: 0.3689 (0.6780) labels_encoder_unscaled: 0.3689 (0.6780) time: 0.0443 data: 0.0277 max mem: 514
Test: [ 750/1613] eta: 0:00:38 loss: 0.3601 (0.6633) labels_encoder: 0.3601 (0.6633) labels_encoder_unscaled: 0.3601 (0.6633) time: 0.0417 data: 0.0264 max mem: 514
Test: [ 800/1613] eta: 0:00:36 loss: 0.4322 (0.6573) labels_encoder: 0.4322 (0.6573) labels_encoder_unscaled: 0.4322 (0.6573) time: 0.0426 data: 0.0281 max mem: 514
Test: [ 850/1613] eta: 0:00:34 loss: 1.1635 (0.6655) labels_encoder: 1.1635 (0.6655) labels_encoder_unscaled: 1.1635 (0.6655) time: 0.0430 data: 0.0269 max mem: 514
Test: [ 900/1613] eta: 0:00:31 loss: 0.4736 (0.6739) labels_encoder: 0.4736 (0.6739) labels_encoder_unscaled: 0.4736 (0.6739) time: 0.0421 data: 0.0260 max mem: 514
Test: [ 950/1613] eta: 0:00:29 loss: 0.5501 (0.6696) labels_encoder: 0.5501 (0.6696) labels_encoder_unscaled: 0.5501 (0.6696) time: 0.0426 data: 0.0273 max mem: 514
Test: [1000/1613] eta: 0:00:27 loss: 0.2822 (0.6589) labels_encoder: 0.2822 (0.6589) labels_encoder_unscaled: 0.2822 (0.6589) time: 0.0400 data: 0.0254 max mem: 514
Test: [1050/1613] eta: 0:00:25 loss: 0.5499 (0.6545) labels_encoder: 0.5499 (0.6545) labels_encoder_unscaled: 0.5499 (0.6545) time: 0.0447 data: 0.0274 max mem: 514
Test: [1100/1613] eta: 0:00:22 loss: 0.4445 (0.6545) labels_encoder: 0.4445 (0.6545) labels_encoder_unscaled: 0.4445 (0.6545) time: 0.0415 data: 0.0259 max mem: 514
Test: [1150/1613] eta: 0:00:20 loss: 0.3089 (0.6478) labels_encoder: 0.3089 (0.6478) labels_encoder_unscaled: 0.3089 (0.6478) time: 0.0478 data: 0.0333 max mem: 514
Test: [1200/1613] eta: 0:00:18 loss: 0.3427 (0.6497) labels_encoder: 0.3427 (0.6497) labels_encoder_unscaled: 0.3427 (0.6497) time: 0.0394 data: 0.0261 max mem: 514
Test: [1250/1613] eta: 0:00:15 loss: 0.2515 (0.6508) labels_encoder: 0.2515 (0.6508) labels_encoder_unscaled: 0.2515 (0.6508) time: 0.0407 data: 0.0274 max mem: 514
Test: [1300/1613] eta: 0:00:13 loss: 0.3065 (0.6483) labels_encoder: 0.3065 (0.6483) labels_encoder_unscaled: 0.3065 (0.6483) time: 0.0400 data: 0.0252 max mem: 514
Test: [1350/1613] eta: 0:00:11 loss: 0.4935 (0.6551) labels_encoder: 0.4935 (0.6551) labels_encoder_unscaled: 0.4935 (0.6551) time: 0.0424 data: 0.0273 max mem: 514
Test: [1400/1613] eta: 0:00:09 loss: 0.5755 (0.6539) labels_encoder: 0.5755 (0.6539) labels_encoder_unscaled: 0.5755 (0.6539) time: 0.0483 data: 0.0344 max mem: 514
Test: [1450/1613] eta: 0:00:07 loss: 0.3130 (0.6639) labels_encoder: 0.3130 (0.6639) labels_encoder_unscaled: 0.3130 (0.6639) time: 0.0441 data: 0.0293 max mem: 514
Test: [1500/1613] eta: 0:00:04 loss: 0.4685 (0.6742) labels_encoder: 0.4685 (0.6742) labels_encoder_unscaled: 0.4685 (0.6742) time: 0.0428 data: 0.0289 max mem: 514
Test: [1550/1613] eta: 0:00:02 loss: 0.4841 (0.6723) labels_encoder: 0.4841 (0.6723) labels_encoder_unscaled: 0.4841 (0.6723) time: 0.0405 data: 0.0269 max mem: 514
Test: [1600/1613] eta: 0:00:00 loss: 0.6966 (0.6693) labels_encoder: 0.6966 (0.6693) labels_encoder_unscaled: 0.6966 (0.6693) time: 0.0426 data: 0.0284 max mem: 514
Test: [1612/1613] eta: 0:00:00 loss: 0.6966 (0.6683) labels_encoder: 0.6966 (0.6683) labels_encoder_unscaled: 0.6966 (0.6683) time: 0.0386 data: 0.0251 max mem: 514
Test: Total time: 0:01:10 (0.0439 s / it)
Averaged stats: loss: 0.6966 (0.6683) labels_encoder: 0.6966 (0.6683) labels_encoder_unscaled: 0.6966 (0.6683)
(21, 206375)
(21, 206375)
[Epoch-3] [IDU-anet] mAP: 0.5565, mcAP: 0.9757
BaseballPitch: 0.2316
BasketballDunk: 0.7286
Billiards: 0.3918
CleanAndJerk: 0.7757
CliffDiving: 0.8341
CricketBowling: 0.3687
CricketShot: 0.1821
Diving: 0.7070
FrisbeeCatch: 0.3609
GolfSwing: 0.4621
HammerThrow: 0.8282
HighJump: 0.5541
JavelinThrow: 0.6945
LongJump: 0.7886
PoleVault: 0.8489
Shotput: 0.6520
SoccerPenalty: 0.4180
TennisSwing: 0.4712
ThrowDiscus: 0.5580
VolleyballSpiking: 0.2734
Epoch: [4] [ 0/1406] eta: 0:34:36 lr: 0.000000 loss: 0.2327 (0.2327) labels_encoder: 0.2327 (0.2327) labels_encoder_unscaled: 0.2327 (0.2327) time: 1.4768 data: 1.4521 max mem: 514
Epoch: [4] [ 50/1406] eta: 0:01:40 lr: 0.000000 loss: 0.1996 (0.1946) labels_encoder: 0.1996 (0.1946) labels_encoder_unscaled: 0.1996 (0.1946) time: 0.0471 data: 0.0175 max mem: 514
Epoch: [4] [ 100/1406] eta: 0:01:20 lr: 0.000000 loss: 0.1690 (0.1916) labels_encoder: 0.1690 (0.1916) labels_encoder_unscaled: 0.1690 (0.1916) time: 0.0506 data: 0.0249 max mem: 514
Epoch: [4] [ 150/1406] eta: 0:01:11 lr: 0.000000 loss: 0.1553 (0.1882) labels_encoder: 0.1553 (0.1882) labels_encoder_unscaled: 0.1553 (0.1882) time: 0.0491 data: 0.0192 max mem: 514
Epoch: [4] [ 200/1406] eta: 0:01:06 lr: 0.000000 loss: 0.1933 (0.1899) labels_encoder: 0.1933 (0.1899) labels_encoder_unscaled: 0.1933 (0.1899) time: 0.0498 data: 0.0195 max mem: 514
Epoch: [4] [ 250/1406] eta: 0:01:02 lr: 0.000000 loss: 0.1845 (0.1893) labels_encoder: 0.1845 (0.1893) labels_encoder_unscaled: 0.1845 (0.1893) time: 0.0498 data: 0.0233 max mem: 514
Epoch: [4] [ 300/1406] eta: 0:00:59 lr: 0.000000 loss: 0.1840 (0.1904) labels_encoder: 0.1840 (0.1904) labels_encoder_unscaled: 0.1840 (0.1904) time: 0.0490 data: 0.0210 max mem: 514
Epoch: [4] [ 350/1406] eta: 0:00:56 lr: 0.000000 loss: 0.1873 (0.1897) labels_encoder: 0.1873 (0.1897) labels_encoder_unscaled: 0.1873 (0.1897) time: 0.0511 data: 0.0220 max mem: 514
Epoch: [4] [ 400/1406] eta: 0:00:52 lr: 0.000000 loss: 0.1855 (0.1892) labels_encoder: 0.1855 (0.1892) labels_encoder_unscaled: 0.1855 (0.1892) time: 0.0490 data: 0.0226 max mem: 514
Epoch: [4] [ 450/1406] eta: 0:00:49 lr: 0.000000 loss: 0.1902 (0.1901) labels_encoder: 0.1902 (0.1901) labels_encoder_unscaled: 0.1902 (0.1901) time: 0.0406 data: 0.0002 max mem: 514
Epoch: [4] [ 500/1406] eta: 0:00:46 lr: 0.000000 loss: 0.1858 (0.1898) labels_encoder: 0.1858 (0.1898) labels_encoder_unscaled: 0.1858 (0.1898) time: 0.0438 data: 0.0139 max mem: 514
Epoch: [4] [ 550/1406] eta: 0:00:43 lr: 0.000000 loss: 0.1787 (0.1904) labels_encoder: 0.1787 (0.1904) labels_encoder_unscaled: 0.1787 (0.1904) time: 0.0526 data: 0.0261 max mem: 514
Epoch: [4] [ 600/1406] eta: 0:00:41 lr: 0.000000 loss: 0.1740 (0.1904) labels_encoder: 0.1740 (0.1904) labels_encoder_unscaled: 0.1740 (0.1904) time: 0.0531 data: 0.0248 max mem: 514
Epoch: [4] [ 650/1406] eta: 0:00:38 lr: 0.000000 loss: 0.1747 (0.1905) labels_encoder: 0.1747 (0.1905) labels_encoder_unscaled: 0.1747 (0.1905) time: 0.0526 data: 0.0207 max mem: 514
Epoch: [4] [ 700/1406] eta: 0:00:35 lr: 0.000000 loss: 0.1932 (0.1912) labels_encoder: 0.1932 (0.1912) labels_encoder_unscaled: 0.1932 (0.1912) time: 0.0500 data: 0.0218 max mem: 514
Epoch: [4] [ 750/1406] eta: 0:00:32 lr: 0.000000 loss: 0.1791 (0.1907) labels_encoder: 0.1791 (0.1907) labels_encoder_unscaled: 0.1791 (0.1907) time: 0.0404 data: 0.0043 max mem: 514
Epoch: [4] [ 800/1406] eta: 0:00:30 lr: 0.000000 loss: 0.1779 (0.1908) labels_encoder: 0.1779 (0.1908) labels_encoder_unscaled: 0.1779 (0.1908) time: 0.0479 data: 0.0172 max mem: 514
Epoch: [4] [ 850/1406] eta: 0:00:27 lr: 0.000000 loss: 0.1861 (0.1906) labels_encoder: 0.1861 (0.1906) labels_encoder_unscaled: 0.1861 (0.1906) time: 0.0480 data: 0.0159 max mem: 514
Epoch: [4] [ 900/1406] eta: 0:00:25 lr: 0.000000 loss: 0.1993 (0.1905) labels_encoder: 0.1993 (0.1905) labels_encoder_unscaled: 0.1993 (0.1905) time: 0.0482 data: 0.0181 max mem: 514
Epoch: [4] [ 950/1406] eta: 0:00:22 lr: 0.000000 loss: 0.1684 (0.1904) labels_encoder: 0.1684 (0.1904) labels_encoder_unscaled: 0.1684 (0.1904) time: 0.0476 data: 0.0196 max mem: 514
Epoch: [4] [1000/1406] eta: 0:00:20 lr: 0.000000 loss: 0.1746 (0.1904) labels_encoder: 0.1746 (0.1904) labels_encoder_unscaled: 0.1746 (0.1904) time: 0.0476 data: 0.0185 max mem: 514
Epoch: [4] [1050/1406] eta: 0:00:17 lr: 0.000000 loss: 0.1781 (0.1902) labels_encoder: 0.1781 (0.1902) labels_encoder_unscaled: 0.1781 (0.1902) time: 0.0495 data: 0.0187 max mem: 514
Epoch: [4] [1100/1406] eta: 0:00:15 lr: 0.000000 loss: 0.1792 (0.1898) labels_encoder: 0.1792 (0.1898) labels_encoder_unscaled: 0.1792 (0.1898) time: 0.0413 data: 0.0077 max mem: 514
Epoch: [4] [1150/1406] eta: 0:00:12 lr: 0.000000 loss: 0.1821 (0.1901) labels_encoder: 0.1821 (0.1901) labels_encoder_unscaled: 0.1821 (0.1901) time: 0.0479 data: 0.0188 max mem: 514
Epoch: [4] [1200/1406] eta: 0:00:10 lr: 0.000000 loss: 0.1638 (0.1900) labels_encoder: 0.1638 (0.1900) labels_encoder_unscaled: 0.1638 (0.1900) time: 0.0477 data: 0.0175 max mem: 514
Epoch: [4] [1250/1406] eta: 0:00:07 lr: 0.000000 loss: 0.2064 (0.1903) labels_encoder: 0.2064 (0.1903) labels_encoder_unscaled: 0.2064 (0.1903) time: 0.0475 data: 0.0217 max mem: 514
Epoch: [4] [1300/1406] eta: 0:00:05 lr: 0.000000 loss: 0.1819 (0.1900) labels_encoder: 0.1819 (0.1900) labels_encoder_unscaled: 0.1819 (0.1900) time: 0.0497 data: 0.0210 max mem: 514
Epoch: [4] [1350/1406] eta: 0:00:02 lr: 0.000000 loss: 0.2039 (0.1901) labels_encoder: 0.2039 (0.1901) labels_encoder_unscaled: 0.2039 (0.1901) time: 0.0463 data: 0.0196 max mem: 514
Epoch: [4] [1400/1406] eta: 0:00:00 lr: 0.000000 loss: 0.1976 (0.1902) labels_encoder: 0.1976 (0.1902) labels_encoder_unscaled: 0.1976 (0.1902) time: 0.0457 data: 0.0135 max mem: 514
Epoch: [4] [1405/1406] eta: 0:00:00 lr: 0.000000 loss: 0.1976 (0.1903) labels_encoder: 0.1976 (0.1903) labels_encoder_unscaled: 0.1976 (0.1903) time: 0.0428 data: 0.0130 max mem: 514
Epoch: [4] Total time: 0:01:09 (0.0491 s / it)
Averaged stats: lr: 0.000000 loss: 0.1976 (0.1903) labels_encoder: 0.1976 (0.1903) labels_encoder_unscaled: 0.1976 (0.1903)
Test: [ 0/1613] eta: 0:38:44 loss: 0.3336 (0.3336) labels_encoder: 0.3336 (0.3336) labels_encoder_unscaled: 0.3336 (0.3336) time: 1.4411 data: 1.4199 max mem: 514
Test: [ 50/1613] eta: 0:01:53 loss: 0.2932 (0.6115) labels_encoder: 0.2932 (0.6115) labels_encoder_unscaled: 0.2932 (0.6115) time: 0.0403 data: 0.0240 max mem: 514
Test: [ 100/1613] eta: 0:01:30 loss: 0.0581 (0.4612) labels_encoder: 0.0581 (0.4612) labels_encoder_unscaled: 0.0581 (0.4612) time: 0.0487 data: 0.0345 max mem: 514
Test: [ 150/1613] eta: 0:01:19 loss: 0.4578 (0.4453) labels_encoder: 0.4578 (0.4453) labels_encoder_unscaled: 0.4578 (0.4453) time: 0.0434 data: 0.0291 max mem: 514
Test: [ 200/1613] eta: 0:01:12 loss: 0.7639 (0.5187) labels_encoder: 0.7639 (0.5187) labels_encoder_unscaled: 0.7639 (0.5187) time: 0.0427 data: 0.0282 max mem: 514
Test: [ 250/1613] eta: 0:01:07 loss: 0.2610 (0.5493) labels_encoder: 0.2610 (0.5493) labels_encoder_unscaled: 0.2610 (0.5493) time: 0.0412 data: 0.0265 max mem: 514
Test: [ 300/1613] eta: 0:01:03 loss: 0.3167 (0.5861) labels_encoder: 0.3167 (0.5861) labels_encoder_unscaled: 0.3167 (0.5861) time: 0.0446 data: 0.0290 max mem: 514
Test: [ 350/1613] eta: 0:00:59 loss: 0.7488 (0.5804) labels_encoder: 0.7488 (0.5804) labels_encoder_unscaled: 0.7488 (0.5804) time: 0.0410 data: 0.0259 max mem: 514
Test: [ 400/1613] eta: 0:00:56 loss: 0.4362 (0.6661) labels_encoder: 0.4362 (0.6661) labels_encoder_unscaled: 0.4362 (0.6661) time: 0.0438 data: 0.0272 max mem: 514
Test: [ 450/1613] eta: 0:00:53 loss: 0.5059 (0.7087) labels_encoder: 0.5059 (0.7087) labels_encoder_unscaled: 0.5059 (0.7087) time: 0.0424 data: 0.0268 max mem: 514
Test: [ 500/1613] eta: 0:00:50 loss: 0.1698 (0.6743) labels_encoder: 0.1698 (0.6743) labels_encoder_unscaled: 0.1698 (0.6743) time: 0.0401 data: 0.0245 max mem: 514
Test: [ 550/1613] eta: 0:00:47 loss: 0.4670 (0.6783) labels_encoder: 0.4670 (0.6783) labels_encoder_unscaled: 0.4670 (0.6783) time: 0.0396 data: 0.0223 max mem: 514
Test: [ 600/1613] eta: 0:00:45 loss: 0.6918 (0.6998) labels_encoder: 0.6918 (0.6998) labels_encoder_unscaled: 0.6918 (0.6998) time: 0.0414 data: 0.0265 max mem: 514
Test: [ 650/1613] eta: 0:00:42 loss: 0.5902 (0.6866) labels_encoder: 0.5902 (0.6866) labels_encoder_unscaled: 0.5902 (0.6866) time: 0.0418 data: 0.0262 max mem: 514
Test: [ 700/1613] eta: 0:00:40 loss: 0.3076 (0.6722) labels_encoder: 0.3076 (0.6722) labels_encoder_unscaled: 0.3076 (0.6722) time: 0.0404 data: 0.0261 max mem: 514
Test: [ 750/1613] eta: 0:00:38 loss: 0.4017 (0.6580) labels_encoder: 0.4017 (0.6580) labels_encoder_unscaled: 0.4017 (0.6580) time: 0.0499 data: 0.0346 max mem: 514
Test: [ 800/1613] eta: 0:00:36 loss: 0.4225 (0.6525) labels_encoder: 0.4225 (0.6525) labels_encoder_unscaled: 0.4225 (0.6525) time: 0.0442 data: 0.0291 max mem: 514
Test: [ 850/1613] eta: 0:00:33 loss: 0.9830 (0.6577) labels_encoder: 0.9830 (0.6577) labels_encoder_unscaled: 0.9830 (0.6577) time: 0.0409 data: 0.0252 max mem: 514
Test: [ 900/1613] eta: 0:00:31 loss: 0.4379 (0.6653) labels_encoder: 0.4379 (0.6653) labels_encoder_unscaled: 0.4379 (0.6653) time: 0.0426 data: 0.0274 max mem: 514
Test: [ 950/1613] eta: 0:00:29 loss: 0.5952 (0.6597) labels_encoder: 0.5952 (0.6597) labels_encoder_unscaled: 0.5952 (0.6597) time: 0.0406 data: 0.0254 max mem: 514
Test: [1000/1613] eta: 0:00:26 loss: 0.3043 (0.6501) labels_encoder: 0.3043 (0.6501) labels_encoder_unscaled: 0.3043 (0.6501) time: 0.0403 data: 0.0252 max mem: 514
Test: [1050/1613] eta: 0:00:24 loss: 0.5438 (0.6461) labels_encoder: 0.5438 (0.6461) labels_encoder_unscaled: 0.5438 (0.6461) time: 0.0414 data: 0.0263 max mem: 514
Test: [1100/1613] eta: 0:00:22 loss: 0.4059 (0.6459) labels_encoder: 0.4059 (0.6459) labels_encoder_unscaled: 0.4059 (0.6459) time: 0.0409 data: 0.0239 max mem: 514
Test: [1150/1613] eta: 0:00:20 loss: 0.2781 (0.6391) labels_encoder: 0.2781 (0.6391) labels_encoder_unscaled: 0.2781 (0.6391) time: 0.0418 data: 0.0250 max mem: 514
Test: [1200/1613] eta: 0:00:17 loss: 0.3369 (0.6413) labels_encoder: 0.3369 (0.6413) labels_encoder_unscaled: 0.3369 (0.6413) time: 0.0404 data: 0.0244 max mem: 514
Test: [1250/1613] eta: 0:00:15 loss: 0.2358 (0.6430) labels_encoder: 0.2358 (0.6430) labels_encoder_unscaled: 0.2358 (0.6430) time: 0.0416 data: 0.0259 max mem: 514
Test: [1300/1613] eta: 0:00:13 loss: 0.3178 (0.6411) labels_encoder: 0.3178 (0.6411) labels_encoder_unscaled: 0.3178 (0.6411) time: 0.0421 data: 0.0280 max mem: 514
Test: [1350/1613] eta: 0:00:11 loss: 0.4687 (0.6474) labels_encoder: 0.4687 (0.6474) labels_encoder_unscaled: 0.4687 (0.6474) time: 0.0418 data: 0.0280 max mem: 514
Test: [1400/1613] eta: 0:00:09 loss: 0.5680 (0.6469) labels_encoder: 0.5680 (0.6469) labels_encoder_unscaled: 0.5680 (0.6469) time: 0.0432 data: 0.0265 max mem: 514
Test: [1450/1613] eta: 0:00:07 loss: 0.3111 (0.6560) labels_encoder: 0.3111 (0.6560) labels_encoder_unscaled: 0.3111 (0.6560) time: 0.0409 data: 0.0243 max mem: 514
Test: [1500/1613] eta: 0:00:04 loss: 0.4933 (0.6653) labels_encoder: 0.4933 (0.6653) labels_encoder_unscaled: 0.4933 (0.6653) time: 0.0427 data: 0.0274 max mem: 514
Test: [1550/1613] eta: 0:00:02 loss: 0.4805 (0.6642) labels_encoder: 0.4805 (0.6642) labels_encoder_unscaled: 0.4805 (0.6642) time: 0.0432 data: 0.0282 max mem: 514
Test: [1600/1613] eta: 0:00:00 loss: 0.7392 (0.6612) labels_encoder: 0.7392 (0.6612) labels_encoder_unscaled: 0.7392 (0.6612) time: 0.0430 data: 0.0276 max mem: 514
Test: [1612/1613] eta: 0:00:00 loss: 0.5698 (0.6601) labels_encoder: 0.5698 (0.6601) labels_encoder_unscaled: 0.5698 (0.6601) time: 0.0385 data: 0.0237 max mem: 514
Test: Total time: 0:01:09 (0.0432 s / it)
Averaged stats: loss: 0.5698 (0.6601) labels_encoder: 0.5698 (0.6601) labels_encoder_unscaled: 0.5698 (0.6601)
(21, 206375)
(21, 206375)
[Epoch-4] [IDU-anet] mAP: 0.5600, mcAP: 0.9759
BaseballPitch: 0.2240
BasketballDunk: 0.7311
Billiards: 0.3904
CleanAndJerk: 0.7724
CliffDiving: 0.8336
CricketBowling: 0.3784
CricketShot: 0.1772
Diving: 0.7114
FrisbeeCatch: 0.3719
GolfSwing: 0.4876
HammerThrow: 0.8290
HighJump: 0.5709
JavelinThrow: 0.6923
LongJump: 0.7944
PoleVault: 0.8497
Shotput: 0.6639
SoccerPenalty: 0.3999
TennisSwing: 0.4737
ThrowDiscus: 0.5828
VolleyballSpiking: 0.2652
Training time 0:09:19