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oadtr_b2_recycling_learned_127_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:127
hidden_dim:1024
dropout_rate:0.1
numclass:22
classification_x_loss_coef:0.3
classification_h_loss_coef:1
similar_loss_coef:0.1
margin:1.0
dataset:thumos
dataset_file:data/data_info_new.json
frozen_weights:None
thumos_data_path:/home/dancer/mycode/Temporal.Online.Detection/Online.TRN.Pytorch/preprocess/
thumos_anno_path:data/thumos_{}_anno.pickle
remove_difficult:False
device:cuda
output_dir:models
seed: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, 99.117% Params, 0.411 GMac, 100.000% MACs,
(0): Linear(3.147 M, 19.795% Params, 0.003 GMac, 0.766% MACs, in_features=3072, out_features=1024, bias=True, channel_dim=1)
(1): RecyclingPositionalEncoding(
0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs,
(pe): Embedding(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 127, 1024)
)
(2): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
(3): Sequential(
12.587 M, 79.181% Params, 0.408 GMac, 99.229% MACs,
(0): Sequential(
6.294 M, 39.590% Params, 0.205 GMac, 49.932% MACs,
(0): BroadcastReduce(
4.194 M, 26.385% Params, 0.071 GMac, 17.223% MACs, reduce=reduce_sum
(0): RetroactiveUnity(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 63)
(1): CoReMultiheadAttention(
4.194 M, 26.385% Params, 0.071 GMac, 17.223% MACs,
(out_proj): NonDynamicallyQuantizableLinear(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=False)
)
)
(1): Lambda(Sequential(
2.099 M, 13.205% Params, 0.134 GMac, 32.709% MACs,
(0): LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True)
(1): Residual(
2.099 M, 13.205% Params, 0.134 GMac, 32.709% MACs,
(fn): Sequential(
2.099 M, 13.205% Params, 0.134 GMac, 32.709% MACs,
(0): Linear(1.05 M, 6.603% Params, 0.067 GMac, 16.347% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(1): GELU(0.0 M, 0.000% Params, 0.0 GMac, 0.016% MACs, )
(2): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
(3): Linear(1.05 M, 6.603% Params, 0.067 GMac, 16.347% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(4): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
)
)
(2): LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True)
))
)
(1): Lambda(Sequential(
6.294 M, 39.590% Params, 0.203 GMac, 49.296% MACs,
(0): BroadcastReduce(
4.194 M, 26.385% Params, 0.203 GMac, 49.280% MACs, reduce=sum_last_pairs
(0): SelectOrDelay(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 0)
(1): CoSiMultiheadAttention(
4.194 M, 26.385% Params, 0.203 GMac, 49.280% MACs,
(out_proj): NonDynamicallyQuantizableLinear(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=False)
)
)
(1): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
(2): BroadcastReduce(
2.099 M, 13.205% Params, 0.0 GMac, 0.017% MACs, reduce=reduce_sum
(0): Delay(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 0)
(1): Sequential(
2.099 M, 13.205% Params, 0.0 GMac, 0.017% MACs,
(0): Linear(1.05 M, 6.603% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(1): GELU(0.0 M, 0.000% Params, 0.0 GMac, 0.016% MACs, )
(2): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
(3): Linear(1.05 M, 6.603% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(4): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
)
)
(3): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
), takes_time=True)
(2): Lambda(unity, squeeze_last, squeeze_last, takes_time=True)
)
(4): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
(5): Linear(0.023 M, 0.142% Params, 0.0 GMac, 0.005% MACs, in_features=1024, out_features=22, bias=True, channel_dim=1)
)
Model FLOPs: 410939416.0
Model params: 15896598
Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument index in method wrapper__index_select)
Loaded data/thumos_anet_val.pickle
Loaded data/thumos_anet_test.pickle
Start training
Epoch: [1] [ 0/1405] eta: 1:03:09 lr: 0.000100 loss: 4.0188 (4.0188) labels_encoder: 4.0188 (4.0188) labels_encoder_unscaled: 4.0188 (4.0188) time: 2.6975 data: 1.7059 max mem: 945
Epoch: [1] [ 50/1405] eta: 0:04:08 lr: 0.000100 loss: 0.6971 (0.9947) labels_encoder: 0.6971 (0.9947) labels_encoder_unscaled: 0.6971 (0.9947) time: 0.1273 data: 0.0002 max mem: 1127
Epoch: [1] [ 100/1405] eta: 0:03:18 lr: 0.000100 loss: 0.5078 (0.7859) labels_encoder: 0.5078 (0.7859) labels_encoder_unscaled: 0.5078 (0.7859) time: 0.1179 data: 0.0001 max mem: 1127
Epoch: [1] [ 150/1405] eta: 0:02:57 lr: 0.000100 loss: 0.5243 (0.7060) labels_encoder: 0.5243 (0.7060) labels_encoder_unscaled: 0.5243 (0.7060) time: 0.1222 data: 0.0002 max mem: 1127
Epoch: [1] [ 200/1405] eta: 0:02:45 lr: 0.000100 loss: 0.5112 (0.6568) labels_encoder: 0.5112 (0.6568) labels_encoder_unscaled: 0.5112 (0.6568) time: 0.1266 data: 0.0002 max mem: 1127
Epoch: [1] [ 250/1405] eta: 0:02:37 lr: 0.000100 loss: 0.4898 (0.6196) labels_encoder: 0.4898 (0.6196) labels_encoder_unscaled: 0.4898 (0.6196) time: 0.1300 data: 0.0002 max mem: 1127
Epoch: [1] [ 300/1405] eta: 0:02:29 lr: 0.000100 loss: 0.4303 (0.5926) labels_encoder: 0.4303 (0.5926) labels_encoder_unscaled: 0.4303 (0.5926) time: 0.1322 data: 0.0003 max mem: 1127
Epoch: [1] [ 350/1405] eta: 0:02:22 lr: 0.000100 loss: 0.3785 (0.5647) labels_encoder: 0.3785 (0.5647) labels_encoder_unscaled: 0.3785 (0.5647) time: 0.1331 data: 0.0003 max mem: 1127
Epoch: [1] [ 400/1405] eta: 0:02:14 lr: 0.000100 loss: 0.3937 (0.5444) labels_encoder: 0.3937 (0.5444) labels_encoder_unscaled: 0.3937 (0.5444) time: 0.1298 data: 0.0002 max mem: 1127
Epoch: [1] [ 450/1405] eta: 0:02:06 lr: 0.000100 loss: 0.3914 (0.5267) labels_encoder: 0.3914 (0.5267) labels_encoder_unscaled: 0.3914 (0.5267) time: 0.1198 data: 0.0002 max mem: 1127
Epoch: [1] [ 500/1405] eta: 0:01:59 lr: 0.000100 loss: 0.3405 (0.5138) labels_encoder: 0.3405 (0.5138) labels_encoder_unscaled: 0.3405 (0.5138) time: 0.1300 data: 0.0002 max mem: 1127
Epoch: [1] [ 550/1405] eta: 0:01:53 lr: 0.000100 loss: 0.3633 (0.5004) labels_encoder: 0.3633 (0.5004) labels_encoder_unscaled: 0.3633 (0.5004) time: 0.1324 data: 0.0003 max mem: 1127
Epoch: [1] [ 600/1405] eta: 0:01:46 lr: 0.000100 loss: 0.3615 (0.4899) labels_encoder: 0.3615 (0.4899) labels_encoder_unscaled: 0.3615 (0.4899) time: 0.1290 data: 0.0002 max mem: 1127
Epoch: [1] [ 650/1405] eta: 0:01:39 lr: 0.000100 loss: 0.3553 (0.4804) labels_encoder: 0.3553 (0.4804) labels_encoder_unscaled: 0.3553 (0.4804) time: 0.1357 data: 0.0003 max mem: 1127
Epoch: [1] [ 700/1405] eta: 0:01:33 lr: 0.000100 loss: 0.3246 (0.4703) labels_encoder: 0.3246 (0.4703) labels_encoder_unscaled: 0.3246 (0.4703) time: 0.1242 data: 0.0002 max mem: 1127
Epoch: [1] [ 750/1405] eta: 0:01:26 lr: 0.000100 loss: 0.3413 (0.4626) labels_encoder: 0.3413 (0.4626) labels_encoder_unscaled: 0.3413 (0.4626) time: 0.1202 data: 0.0002 max mem: 1127
Epoch: [1] [ 800/1405] eta: 0:01:19 lr: 0.000100 loss: 0.3220 (0.4540) labels_encoder: 0.3220 (0.4540) labels_encoder_unscaled: 0.3220 (0.4540) time: 0.1223 data: 0.0002 max mem: 1127
Epoch: [1] [ 850/1405] eta: 0:01:12 lr: 0.000100 loss: 0.3106 (0.4484) labels_encoder: 0.3106 (0.4484) labels_encoder_unscaled: 0.3106 (0.4484) time: 0.1222 data: 0.0004 max mem: 1127
Epoch: [1] [ 900/1405] eta: 0:01:05 lr: 0.000100 loss: 0.2880 (0.4410) labels_encoder: 0.2880 (0.4410) labels_encoder_unscaled: 0.2880 (0.4410) time: 0.1256 data: 0.0002 max mem: 1127
Epoch: [1] [ 950/1405] eta: 0:00:59 lr: 0.000100 loss: 0.3171 (0.4340) labels_encoder: 0.3171 (0.4340) labels_encoder_unscaled: 0.3171 (0.4340) time: 0.1215 data: 0.0002 max mem: 1127
Epoch: [1] [1000/1405] eta: 0:00:52 lr: 0.000100 loss: 0.3116 (0.4279) labels_encoder: 0.3116 (0.4279) labels_encoder_unscaled: 0.3116 (0.4279) time: 0.1228 data: 0.0002 max mem: 1127
Epoch: [1] [1050/1405] eta: 0:00:45 lr: 0.000100 loss: 0.3224 (0.4225) labels_encoder: 0.3224 (0.4225) labels_encoder_unscaled: 0.3224 (0.4225) time: 0.1279 data: 0.0002 max mem: 1127
Epoch: [1] [1100/1405] eta: 0:00:39 lr: 0.000100 loss: 0.2969 (0.4168) labels_encoder: 0.2969 (0.4168) labels_encoder_unscaled: 0.2969 (0.4168) time: 0.1332 data: 0.0002 max mem: 1127
Epoch: [1] [1150/1405] eta: 0:00:33 lr: 0.000100 loss: 0.2626 (0.4108) labels_encoder: 0.2626 (0.4108) labels_encoder_unscaled: 0.2626 (0.4108) time: 0.1526 data: 0.0006 max mem: 1127
Epoch: [1] [1200/1405] eta: 0:00:26 lr: 0.000100 loss: 0.2885 (0.4056) labels_encoder: 0.2885 (0.4056) labels_encoder_unscaled: 0.2885 (0.4056) time: 0.1262 data: 0.0002 max mem: 1127
Epoch: [1] [1250/1405] eta: 0:00:20 lr: 0.000100 loss: 0.2779 (0.4007) labels_encoder: 0.2779 (0.4007) labels_encoder_unscaled: 0.2779 (0.4007) time: 0.1296 data: 0.0002 max mem: 1127
Epoch: [1] [1300/1405] eta: 0:00:13 lr: 0.000100 loss: 0.2765 (0.3962) labels_encoder: 0.2765 (0.3962) labels_encoder_unscaled: 0.2765 (0.3962) time: 0.1295 data: 0.0002 max mem: 1127
Epoch: [1] [1350/1405] eta: 0:00:07 lr: 0.000100 loss: 0.2633 (0.3917) labels_encoder: 0.2633 (0.3917) labels_encoder_unscaled: 0.2633 (0.3917) time: 0.1290 data: 0.0002 max mem: 1127
Epoch: [1] [1400/1405] eta: 0:00:00 lr: 0.000100 loss: 0.2673 (0.3874) labels_encoder: 0.2673 (0.3874) labels_encoder_unscaled: 0.2673 (0.3874) time: 0.1235 data: 0.0003 max mem: 1127
Epoch: [1] [1404/1405] eta: 0:00:00 lr: 0.000100 loss: 0.2714 (0.3870) labels_encoder: 0.2714 (0.3870) labels_encoder_unscaled: 0.2714 (0.3870) time: 0.1195 data: 0.0003 max mem: 1127
Epoch: [1] Total time: 0:03:02 (0.1299 s / it)
Averaged stats: lr: 0.000100 loss: 0.2714 (0.3870) labels_encoder: 0.2714 (0.3870) labels_encoder_unscaled: 0.2714 (0.3870)
Test: [ 0/1613] eta: 0:38:23 loss: 0.8236 (0.8236) labels_encoder: 0.8236 (0.8236) labels_encoder_unscaled: 0.8236 (0.8236) time: 1.4280 data: 1.3585 max mem: 1127
Test: [ 50/1613] eta: 0:02:14 loss: 0.2349 (0.5776) labels_encoder: 0.2349 (0.5776) labels_encoder_unscaled: 0.2349 (0.5776) time: 0.0580 data: 0.0002 max mem: 1127
Test: [ 100/1613] eta: 0:01:46 loss: 0.2461 (0.4587) labels_encoder: 0.2461 (0.4587) labels_encoder_unscaled: 0.2461 (0.4587) time: 0.0507 data: 0.0002 max mem: 1127
Test: [ 150/1613] eta: 0:01:38 loss: 0.3332 (0.4515) labels_encoder: 0.3332 (0.4515) labels_encoder_unscaled: 0.3332 (0.4515) time: 0.0598 data: 0.0002 max mem: 1127
Test: [ 200/1613] eta: 0:01:29 loss: 0.6403 (0.4990) labels_encoder: 0.6403 (0.4990) labels_encoder_unscaled: 0.6403 (0.4990) time: 0.0521 data: 0.0002 max mem: 1127
Test: [ 250/1613] eta: 0:01:22 loss: 0.3276 (0.5219) labels_encoder: 0.3276 (0.5219) labels_encoder_unscaled: 0.3276 (0.5219) time: 0.0500 data: 0.0002 max mem: 1127
Test: [ 300/1613] eta: 0:01:16 loss: 0.3444 (0.5643) labels_encoder: 0.3444 (0.5643) labels_encoder_unscaled: 0.3444 (0.5643) time: 0.0495 data: 0.0002 max mem: 1127
Test: [ 350/1613] eta: 0:01:11 loss: 0.5641 (0.5731) labels_encoder: 0.5641 (0.5731) labels_encoder_unscaled: 0.5641 (0.5731) time: 0.0449 data: 0.0001 max mem: 1127
Test: [ 400/1613] eta: 0:01:07 loss: 0.4926 (0.6270) labels_encoder: 0.4926 (0.6270) labels_encoder_unscaled: 0.4926 (0.6270) time: 0.0459 data: 0.0002 max mem: 1127
Test: [ 450/1613] eta: 0:01:03 loss: 0.5425 (0.6617) labels_encoder: 0.5425 (0.6617) labels_encoder_unscaled: 0.5425 (0.6617) time: 0.0503 data: 0.0002 max mem: 1127
Test: [ 500/1613] eta: 0:01:00 loss: 0.1929 (0.6324) labels_encoder: 0.1929 (0.6324) labels_encoder_unscaled: 0.1929 (0.6324) time: 0.0518 data: 0.0002 max mem: 1127
Test: [ 550/1613] eta: 0:00:57 loss: 0.6396 (0.6659) labels_encoder: 0.6396 (0.6659) labels_encoder_unscaled: 0.6396 (0.6659) time: 0.0535 data: 0.0002 max mem: 1127
Test: [ 600/1613] eta: 0:00:54 loss: 0.6032 (0.7250) labels_encoder: 0.6032 (0.7250) labels_encoder_unscaled: 0.6032 (0.7250) time: 0.0483 data: 0.0002 max mem: 1127
Test: [ 650/1613] eta: 0:00:51 loss: 0.3745 (0.7104) labels_encoder: 0.3745 (0.7104) labels_encoder_unscaled: 0.3745 (0.7104) time: 0.0470 data: 0.0002 max mem: 1127
Test: [ 700/1613] eta: 0:00:48 loss: 0.4271 (0.6951) labels_encoder: 0.4271 (0.6951) labels_encoder_unscaled: 0.4271 (0.6951) time: 0.0501 data: 0.0016 max mem: 1127
Test: [ 750/1613] eta: 0:00:45 loss: 0.2771 (0.6749) labels_encoder: 0.2771 (0.6749) labels_encoder_unscaled: 0.2771 (0.6749) time: 0.0636 data: 0.0002 max mem: 1127
Test: [ 800/1613] eta: 0:00:43 loss: 0.4352 (0.6671) labels_encoder: 0.4352 (0.6671) labels_encoder_unscaled: 0.4352 (0.6671) time: 0.0599 data: 0.0002 max mem: 1127
Test: [ 850/1613] eta: 0:00:40 loss: 1.2341 (0.6812) labels_encoder: 1.2341 (0.6812) labels_encoder_unscaled: 1.2341 (0.6812) time: 0.0534 data: 0.0002 max mem: 1127
Test: [ 900/1613] eta: 0:00:38 loss: 0.4060 (0.6962) labels_encoder: 0.4060 (0.6962) labels_encoder_unscaled: 0.4060 (0.6962) time: 0.0580 data: 0.0002 max mem: 1127
Test: [ 950/1613] eta: 0:00:35 loss: 0.4028 (0.6786) labels_encoder: 0.4028 (0.6786) labels_encoder_unscaled: 0.4028 (0.6786) time: 0.0609 data: 0.0002 max mem: 1127
Test: [1000/1613] eta: 0:00:33 loss: 0.3630 (0.6655) labels_encoder: 0.3630 (0.6655) labels_encoder_unscaled: 0.3630 (0.6655) time: 0.0587 data: 0.0002 max mem: 1127
Test: [1050/1613] eta: 0:00:30 loss: 0.5932 (0.6625) labels_encoder: 0.5932 (0.6625) labels_encoder_unscaled: 0.5932 (0.6625) time: 0.0546 data: 0.0002 max mem: 1127
Test: [1100/1613] eta: 0:00:27 loss: 0.3550 (0.6610) labels_encoder: 0.3550 (0.6610) labels_encoder_unscaled: 0.3550 (0.6610) time: 0.0550 data: 0.0002 max mem: 1127
Test: [1150/1613] eta: 0:00:25 loss: 0.4142 (0.6555) labels_encoder: 0.4142 (0.6555) labels_encoder_unscaled: 0.4142 (0.6555) time: 0.0582 data: 0.0002 max mem: 1127
Test: [1200/1613] eta: 0:00:22 loss: 0.4085 (0.6604) labels_encoder: 0.4085 (0.6604) labels_encoder_unscaled: 0.4085 (0.6604) time: 0.0651 data: 0.0002 max mem: 1127
Test: [1250/1613] eta: 0:00:19 loss: 0.3827 (0.6594) labels_encoder: 0.3827 (0.6594) labels_encoder_unscaled: 0.3827 (0.6594) time: 0.0613 data: 0.0002 max mem: 1127
Test: [1300/1613] eta: 0:00:17 loss: 0.2699 (0.6526) labels_encoder: 0.2699 (0.6526) labels_encoder_unscaled: 0.2699 (0.6526) time: 0.0621 data: 0.0002 max mem: 1127
Test: [1350/1613] eta: 0:00:14 loss: 0.5358 (0.6579) labels_encoder: 0.5358 (0.6579) labels_encoder_unscaled: 0.5358 (0.6579) time: 0.0634 data: 0.0002 max mem: 1127
Test: [1400/1613] eta: 0:00:11 loss: 0.8225 (0.6593) labels_encoder: 0.8225 (0.6593) labels_encoder_unscaled: 0.8225 (0.6593) time: 0.0640 data: 0.0002 max mem: 1127
Test: [1450/1613] eta: 0:00:09 loss: 0.4813 (0.6854) labels_encoder: 0.4813 (0.6854) labels_encoder_unscaled: 0.4813 (0.6854) time: 0.0583 data: 0.0002 max mem: 1127
Test: [1500/1613] eta: 0:00:06 loss: 0.4613 (0.6888) labels_encoder: 0.4613 (0.6888) labels_encoder_unscaled: 0.4613 (0.6888) time: 0.0472 data: 0.0002 max mem: 1127
Test: [1550/1613] eta: 0:00:03 loss: 0.5983 (0.6864) labels_encoder: 0.5983 (0.6864) labels_encoder_unscaled: 0.5983 (0.6864) time: 0.0465 data: 0.0002 max mem: 1127
Test: [1600/1613] eta: 0:00:00 loss: 0.5473 (0.6829) labels_encoder: 0.5473 (0.6829) labels_encoder_unscaled: 0.5473 (0.6829) time: 0.0419 data: 0.0001 max mem: 1127
Test: [1612/1613] eta: 0:00:00 loss: 0.4848 (0.6842) labels_encoder: 0.4848 (0.6842) labels_encoder_unscaled: 0.4848 (0.6842) time: 0.0318 data: 0.0001 max mem: 1127
Test: Total time: 0:01:29 (0.0552 s / it)
Averaged stats: loss: 0.4848 (0.6842) labels_encoder: 0.4848 (0.6842) labels_encoder_unscaled: 0.4848 (0.6842)
(21, 206375)
(21, 206375)
[Epoch-1] [IDU-anet] mAP: 0.5495, mcAP: 0.9740
BaseballPitch: 0.1689
BasketballDunk: 0.7356
Billiards: 0.3819
CleanAndJerk: 0.7300
CliffDiving: 0.7966
CricketBowling: 0.4014
CricketShot: 0.1505
Diving: 0.6851
FrisbeeCatch: 0.4214
GolfSwing: 0.3986
HammerThrow: 0.8417
HighJump: 0.5511
JavelinThrow: 0.7185
LongJump: 0.8027
PoleVault: 0.8674
Shotput: 0.6674
SoccerPenalty: 0.3638
TennisSwing: 0.4410
ThrowDiscus: 0.6134
VolleyballSpiking: 0.2539
Epoch: [2] [ 0/1405] eta: 0:40:28 lr: 0.000010 loss: 0.2648 (0.2648) labels_encoder: 0.2648 (0.2648) labels_encoder_unscaled: 0.2648 (0.2648) time: 1.7284 data: 1.5303 max mem: 1127
Epoch: [2] [ 50/1405] eta: 0:03:26 lr: 0.000010 loss: 0.2288 (0.2369) labels_encoder: 0.2288 (0.2369) labels_encoder_unscaled: 0.2288 (0.2369) time: 0.1182 data: 0.0001 max mem: 1127
Epoch: [2] [ 100/1405] eta: 0:02:56 lr: 0.000010 loss: 0.2156 (0.2275) labels_encoder: 0.2156 (0.2275) labels_encoder_unscaled: 0.2156 (0.2275) time: 0.1175 data: 0.0001 max mem: 1127
Epoch: [2] [ 150/1405] eta: 0:02:44 lr: 0.000010 loss: 0.2307 (0.2271) labels_encoder: 0.2307 (0.2271) labels_encoder_unscaled: 0.2307 (0.2271) time: 0.1253 data: 0.0001 max mem: 1127
Epoch: [2] [ 200/1405] eta: 0:02:35 lr: 0.000010 loss: 0.1932 (0.2197) labels_encoder: 0.1932 (0.2197) labels_encoder_unscaled: 0.1932 (0.2197) time: 0.1249 data: 0.0002 max mem: 1127
Epoch: [2] [ 250/1405] eta: 0:02:27 lr: 0.000010 loss: 0.1875 (0.2145) labels_encoder: 0.1875 (0.2145) labels_encoder_unscaled: 0.1875 (0.2145) time: 0.1213 data: 0.0001 max mem: 1127
Epoch: [2] [ 300/1405] eta: 0:02:20 lr: 0.000010 loss: 0.1905 (0.2118) labels_encoder: 0.1905 (0.2118) labels_encoder_unscaled: 0.1905 (0.2118) time: 0.1277 data: 0.0002 max mem: 1127
Epoch: [2] [ 350/1405] eta: 0:02:14 lr: 0.000010 loss: 0.2066 (0.2109) labels_encoder: 0.2066 (0.2109) labels_encoder_unscaled: 0.2066 (0.2109) time: 0.1366 data: 0.0002 max mem: 1127
Epoch: [2] [ 400/1405] eta: 0:02:09 lr: 0.000010 loss: 0.1848 (0.2099) labels_encoder: 0.1848 (0.2099) labels_encoder_unscaled: 0.1848 (0.2099) time: 0.1386 data: 0.0002 max mem: 1127
Epoch: [2] [ 450/1405] eta: 0:02:04 lr: 0.000010 loss: 0.2044 (0.2093) labels_encoder: 0.2044 (0.2093) labels_encoder_unscaled: 0.2044 (0.2093) time: 0.1376 data: 0.0002 max mem: 1127
Epoch: [2] [ 500/1405] eta: 0:01:58 lr: 0.000010 loss: 0.1887 (0.2084) labels_encoder: 0.1887 (0.2084) labels_encoder_unscaled: 0.1887 (0.2084) time: 0.1360 data: 0.0002 max mem: 1127
Epoch: [2] [ 550/1405] eta: 0:01:52 lr: 0.000010 loss: 0.1741 (0.2077) labels_encoder: 0.1741 (0.2077) labels_encoder_unscaled: 0.1741 (0.2077) time: 0.1331 data: 0.0002 max mem: 1127
Epoch: [2] [ 600/1405] eta: 0:01:45 lr: 0.000010 loss: 0.1801 (0.2067) labels_encoder: 0.1801 (0.2067) labels_encoder_unscaled: 0.1801 (0.2067) time: 0.1268 data: 0.0002 max mem: 1127
Epoch: [2] [ 650/1405] eta: 0:01:39 lr: 0.000010 loss: 0.1945 (0.2061) labels_encoder: 0.1945 (0.2061) labels_encoder_unscaled: 0.1945 (0.2061) time: 0.1418 data: 0.0003 max mem: 1127
Epoch: [2] [ 700/1405] eta: 0:01:32 lr: 0.000010 loss: 0.2223 (0.2063) labels_encoder: 0.2223 (0.2063) labels_encoder_unscaled: 0.2223 (0.2063) time: 0.1340 data: 0.0002 max mem: 1127
Epoch: [2] [ 750/1405] eta: 0:01:26 lr: 0.000010 loss: 0.2023 (0.2058) labels_encoder: 0.2023 (0.2058) labels_encoder_unscaled: 0.2023 (0.2058) time: 0.1302 data: 0.0002 max mem: 1127
Epoch: [2] [ 800/1405] eta: 0:01:19 lr: 0.000010 loss: 0.1965 (0.2052) labels_encoder: 0.1965 (0.2052) labels_encoder_unscaled: 0.1965 (0.2052) time: 0.1207 data: 0.0002 max mem: 1127
Epoch: [2] [ 850/1405] eta: 0:01:12 lr: 0.000010 loss: 0.1844 (0.2044) labels_encoder: 0.1844 (0.2044) labels_encoder_unscaled: 0.1844 (0.2044) time: 0.1278 data: 0.0002 max mem: 1127
Epoch: [2] [ 900/1405] eta: 0:01:05 lr: 0.000010 loss: 0.1863 (0.2041) labels_encoder: 0.1863 (0.2041) labels_encoder_unscaled: 0.1863 (0.2041) time: 0.1263 data: 0.0002 max mem: 1127
Epoch: [2] [ 950/1405] eta: 0:00:59 lr: 0.000010 loss: 0.2043 (0.2043) labels_encoder: 0.2043 (0.2043) labels_encoder_unscaled: 0.2043 (0.2043) time: 0.1314 data: 0.0002 max mem: 1127
Epoch: [2] [1000/1405] eta: 0:00:52 lr: 0.000010 loss: 0.1670 (0.2039) labels_encoder: 0.1670 (0.2039) labels_encoder_unscaled: 0.1670 (0.2039) time: 0.1207 data: 0.0002 max mem: 1127
Epoch: [2] [1050/1405] eta: 0:00:46 lr: 0.000010 loss: 0.1932 (0.2037) labels_encoder: 0.1932 (0.2037) labels_encoder_unscaled: 0.1932 (0.2037) time: 0.1269 data: 0.0002 max mem: 1127
Epoch: [2] [1100/1405] eta: 0:00:39 lr: 0.000010 loss: 0.2189 (0.2033) labels_encoder: 0.2189 (0.2033) labels_encoder_unscaled: 0.2189 (0.2033) time: 0.1264 data: 0.0002 max mem: 1127
Epoch: [2] [1150/1405] eta: 0:00:33 lr: 0.000010 loss: 0.2034 (0.2028) labels_encoder: 0.2034 (0.2028) labels_encoder_unscaled: 0.2034 (0.2028) time: 0.1320 data: 0.0002 max mem: 1127
Epoch: [2] [1200/1405] eta: 0:00:26 lr: 0.000010 loss: 0.1771 (0.2023) labels_encoder: 0.1771 (0.2023) labels_encoder_unscaled: 0.1771 (0.2023) time: 0.1251 data: 0.0002 max mem: 1127
Epoch: [2] [1250/1405] eta: 0:00:20 lr: 0.000010 loss: 0.1933 (0.2018) labels_encoder: 0.1933 (0.2018) labels_encoder_unscaled: 0.1933 (0.2018) time: 0.1286 data: 0.0002 max mem: 1127
Epoch: [2] [1300/1405] eta: 0:00:13 lr: 0.000010 loss: 0.1811 (0.2014) labels_encoder: 0.1811 (0.2014) labels_encoder_unscaled: 0.1811 (0.2014) time: 0.1260 data: 0.0002 max mem: 1127
Epoch: [2] [1350/1405] eta: 0:00:07 lr: 0.000010 loss: 0.1797 (0.2013) labels_encoder: 0.1797 (0.2013) labels_encoder_unscaled: 0.1797 (0.2013) time: 0.1275 data: 0.0002 max mem: 1127
Epoch: [2] [1400/1405] eta: 0:00:00 lr: 0.000010 loss: 0.1953 (0.2011) labels_encoder: 0.1953 (0.2011) labels_encoder_unscaled: 0.1953 (0.2011) time: 0.1224 data: 0.0003 max mem: 1127
Epoch: [2] [1404/1405] eta: 0:00:00 lr: 0.000010 loss: 0.2050 (0.2012) labels_encoder: 0.2050 (0.2012) labels_encoder_unscaled: 0.2050 (0.2012) time: 0.1196 data: 0.0003 max mem: 1127
Epoch: [2] Total time: 0:03:01 (0.1295 s / it)
Averaged stats: lr: 0.000010 loss: 0.2050 (0.2012) labels_encoder: 0.2050 (0.2012) labels_encoder_unscaled: 0.2050 (0.2012)
Test: [ 0/1613] eta: 0:43:01 loss: 0.2860 (0.2860) labels_encoder: 0.2860 (0.2860) labels_encoder_unscaled: 0.2860 (0.2860) time: 1.6005 data: 1.5348 max mem: 1127
Test: [ 50/1613] eta: 0:02:09 loss: 0.2777 (0.6101) labels_encoder: 0.2777 (0.6101) labels_encoder_unscaled: 0.2777 (0.6101) time: 0.0465 data: 0.0002 max mem: 1127
Test: [ 100/1613] eta: 0:01:37 loss: 0.1144 (0.4676) labels_encoder: 0.1144 (0.4676) labels_encoder_unscaled: 0.1144 (0.4676) time: 0.0495 data: 0.0001 max mem: 1127
Test: [ 150/1613] eta: 0:01:26 loss: 0.4031 (0.4408) labels_encoder: 0.4031 (0.4408) labels_encoder_unscaled: 0.4031 (0.4408) time: 0.0461 data: 0.0002 max mem: 1127
Test: [ 200/1613] eta: 0:01:18 loss: 0.6123 (0.5085) labels_encoder: 0.6123 (0.5085) labels_encoder_unscaled: 0.6123 (0.5085) time: 0.0452 data: 0.0002 max mem: 1127
Test: [ 250/1613] eta: 0:01:12 loss: 0.2918 (0.5411) labels_encoder: 0.2918 (0.5411) labels_encoder_unscaled: 0.2918 (0.5411) time: 0.0454 data: 0.0002 max mem: 1127
Test: [ 300/1613] eta: 0:01:08 loss: 0.3028 (0.5623) labels_encoder: 0.3028 (0.5623) labels_encoder_unscaled: 0.3028 (0.5623) time: 0.0441 data: 0.0001 max mem: 1127
Test: [ 350/1613] eta: 0:01:05 loss: 0.6441 (0.5688) labels_encoder: 0.6441 (0.5688) labels_encoder_unscaled: 0.6441 (0.5688) time: 0.0563 data: 0.0002 max mem: 1127
Test: [ 400/1613] eta: 0:01:03 loss: 0.4359 (0.6481) labels_encoder: 0.4359 (0.6481) labels_encoder_unscaled: 0.4359 (0.6481) time: 0.0510 data: 0.0002 max mem: 1127
Test: [ 450/1613] eta: 0:01:00 loss: 0.5170 (0.6888) labels_encoder: 0.5170 (0.6888) labels_encoder_unscaled: 0.5170 (0.6888) time: 0.0541 data: 0.0002 max mem: 1127
Test: [ 500/1613] eta: 0:00:58 loss: 0.1951 (0.6547) labels_encoder: 0.1951 (0.6547) labels_encoder_unscaled: 0.1951 (0.6547) time: 0.0594 data: 0.0002 max mem: 1127
Test: [ 550/1613] eta: 0:00:55 loss: 0.6327 (0.6659) labels_encoder: 0.6327 (0.6659) labels_encoder_unscaled: 0.6327 (0.6659) time: 0.0526 data: 0.0002 max mem: 1127
Test: [ 600/1613] eta: 0:00:52 loss: 0.6504 (0.6920) labels_encoder: 0.6504 (0.6920) labels_encoder_unscaled: 0.6504 (0.6920) time: 0.0449 data: 0.0002 max mem: 1127
Test: [ 650/1613] eta: 0:00:49 loss: 0.4357 (0.6769) labels_encoder: 0.4357 (0.6769) labels_encoder_unscaled: 0.4357 (0.6769) time: 0.0435 data: 0.0002 max mem: 1127
Test: [ 700/1613] eta: 0:00:47 loss: 0.3402 (0.6650) labels_encoder: 0.3402 (0.6650) labels_encoder_unscaled: 0.3402 (0.6650) time: 0.0506 data: 0.0002 max mem: 1127
Test: [ 750/1613] eta: 0:00:45 loss: 0.3414 (0.6492) labels_encoder: 0.3414 (0.6492) labels_encoder_unscaled: 0.3414 (0.6492) time: 0.0572 data: 0.0002 max mem: 1127
Test: [ 800/1613] eta: 0:00:42 loss: 0.5481 (0.6510) labels_encoder: 0.5481 (0.6510) labels_encoder_unscaled: 0.5481 (0.6510) time: 0.0505 data: 0.0002 max mem: 1127
Test: [ 850/1613] eta: 0:00:39 loss: 0.8380 (0.6506) labels_encoder: 0.8380 (0.6506) labels_encoder_unscaled: 0.8380 (0.6506) time: 0.0519 data: 0.0002 max mem: 1127
Test: [ 900/1613] eta: 0:00:37 loss: 0.4210 (0.6667) labels_encoder: 0.4210 (0.6667) labels_encoder_unscaled: 0.4210 (0.6667) time: 0.0519 data: 0.0002 max mem: 1127
Test: [ 950/1613] eta: 0:00:34 loss: 0.5259 (0.6612) labels_encoder: 0.5259 (0.6612) labels_encoder_unscaled: 0.5259 (0.6612) time: 0.0529 data: 0.0002 max mem: 1127
Test: [1000/1613] eta: 0:00:31 loss: 0.3195 (0.6506) labels_encoder: 0.3195 (0.6506) labels_encoder_unscaled: 0.3195 (0.6506) time: 0.0445 data: 0.0001 max mem: 1127
Test: [1050/1613] eta: 0:00:29 loss: 0.5306 (0.6474) labels_encoder: 0.5306 (0.6474) labels_encoder_unscaled: 0.5306 (0.6474) time: 0.0472 data: 0.0001 max mem: 1127
Test: [1100/1613] eta: 0:00:26 loss: 0.4413 (0.6535) labels_encoder: 0.4413 (0.6535) labels_encoder_unscaled: 0.4413 (0.6535) time: 0.0498 data: 0.0002 max mem: 1127
Test: [1150/1613] eta: 0:00:23 loss: 0.4696 (0.6473) labels_encoder: 0.4696 (0.6473) labels_encoder_unscaled: 0.4696 (0.6473) time: 0.0544 data: 0.0002 max mem: 1127
Test: [1200/1613] eta: 0:00:21 loss: 0.3512 (0.6499) labels_encoder: 0.3512 (0.6499) labels_encoder_unscaled: 0.3512 (0.6499) time: 0.0447 data: 0.0002 max mem: 1127
Test: [1250/1613] eta: 0:00:18 loss: 0.2931 (0.6506) labels_encoder: 0.2931 (0.6506) labels_encoder_unscaled: 0.2931 (0.6506) time: 0.0485 data: 0.0002 max mem: 1127
Test: [1300/1613] eta: 0:00:15 loss: 0.2947 (0.6483) labels_encoder: 0.2947 (0.6483) labels_encoder_unscaled: 0.2947 (0.6483) time: 0.0442 data: 0.0001 max mem: 1127
Test: [1350/1613] eta: 0:00:13 loss: 0.4978 (0.6533) labels_encoder: 0.4978 (0.6533) labels_encoder_unscaled: 0.4978 (0.6533) time: 0.0522 data: 0.0002 max mem: 1127
Test: [1400/1613] eta: 0:00:10 loss: 0.6752 (0.6529) labels_encoder: 0.6752 (0.6529) labels_encoder_unscaled: 0.6752 (0.6529) time: 0.0556 data: 0.0002 max mem: 1127
Test: [1450/1613] eta: 0:00:08 loss: 0.3469 (0.6711) labels_encoder: 0.3469 (0.6711) labels_encoder_unscaled: 0.3469 (0.6711) time: 0.0512 data: 0.0002 max mem: 1127
Test: [1500/1613] eta: 0:00:05 loss: 0.3450 (0.6784) labels_encoder: 0.3450 (0.6784) labels_encoder_unscaled: 0.3450 (0.6784) time: 0.0520 data: 0.0002 max mem: 1127
Test: [1550/1613] eta: 0:00:03 loss: 0.6076 (0.6781) labels_encoder: 0.6076 (0.6781) labels_encoder_unscaled: 0.6076 (0.6781) time: 0.0513 data: 0.0002 max mem: 1127
Test: [1600/1613] eta: 0:00:00 loss: 0.6094 (0.6734) labels_encoder: 0.6094 (0.6734) labels_encoder_unscaled: 0.6094 (0.6734) time: 0.0482 data: 0.0002 max mem: 1127
Test: [1612/1613] eta: 0:00:00 loss: 0.3414 (0.6729) labels_encoder: 0.3414 (0.6729) labels_encoder_unscaled: 0.3414 (0.6729) time: 0.0406 data: 0.0001 max mem: 1127
Test: Total time: 0:01:22 (0.0513 s / it)
Averaged stats: loss: 0.3414 (0.6729) labels_encoder: 0.3414 (0.6729) labels_encoder_unscaled: 0.3414 (0.6729)
(21, 206375)
(21, 206375)
[Epoch-2] [IDU-anet] mAP: 0.5622, mcAP: 0.9743
BaseballPitch: 0.2862
BasketballDunk: 0.7359
Billiards: 0.3849
CleanAndJerk: 0.7657
CliffDiving: 0.7896
CricketBowling: 0.4136
CricketShot: 0.1872
Diving: 0.6807
FrisbeeCatch: 0.3866
GolfSwing: 0.4671
HammerThrow: 0.8392
HighJump: 0.5075
JavelinThrow: 0.7088
LongJump: 0.8002
PoleVault: 0.8555
Shotput: 0.6512
SoccerPenalty: 0.3822
TennisSwing: 0.4928
ThrowDiscus: 0.6408
VolleyballSpiking: 0.2681
Epoch: [3] [ 0/1405] eta: 0:56:03 lr: 0.000001 loss: 0.1869 (0.1869) labels_encoder: 0.1869 (0.1869) labels_encoder_unscaled: 0.1869 (0.1869) time: 2.3940 data: 1.7484 max mem: 1127
Epoch: [3] [ 50/1405] eta: 0:04:03 lr: 0.000001 loss: 0.1787 (0.1848) labels_encoder: 0.1787 (0.1848) labels_encoder_unscaled: 0.1787 (0.1848) time: 0.1368 data: 0.0002 max mem: 1127
Epoch: [3] [ 100/1405] eta: 0:03:25 lr: 0.000001 loss: 0.1726 (0.1853) labels_encoder: 0.1726 (0.1853) labels_encoder_unscaled: 0.1726 (0.1853) time: 0.1347 data: 0.0002 max mem: 1127
Epoch: [3] [ 150/1405] eta: 0:03:06 lr: 0.000001 loss: 0.1751 (0.1853) labels_encoder: 0.1751 (0.1853) labels_encoder_unscaled: 0.1751 (0.1853) time: 0.1302 data: 0.0002 max mem: 1127
Epoch: [3] [ 200/1405] eta: 0:02:53 lr: 0.000001 loss: 0.2039 (0.1849) labels_encoder: 0.2039 (0.1849) labels_encoder_unscaled: 0.2039 (0.1849) time: 0.1283 data: 0.0011 max mem: 1127
Epoch: [3] [ 250/1405] eta: 0:02:42 lr: 0.000001 loss: 0.1787 (0.1837) labels_encoder: 0.1787 (0.1837) labels_encoder_unscaled: 0.1787 (0.1837) time: 0.1261 data: 0.0002 max mem: 1127
Epoch: [3] [ 300/1405] eta: 0:02:34 lr: 0.000001 loss: 0.1816 (0.1832) labels_encoder: 0.1816 (0.1832) labels_encoder_unscaled: 0.1816 (0.1832) time: 0.1429 data: 0.0002 max mem: 1127
Epoch: [3] [ 350/1405] eta: 0:02:25 lr: 0.000001 loss: 0.1763 (0.1830) labels_encoder: 0.1763 (0.1830) labels_encoder_unscaled: 0.1763 (0.1830) time: 0.1312 data: 0.0002 max mem: 1127
Epoch: [3] [ 400/1405] eta: 0:02:18 lr: 0.000001 loss: 0.1550 (0.1818) labels_encoder: 0.1550 (0.1818) labels_encoder_unscaled: 0.1550 (0.1818) time: 0.1280 data: 0.0002 max mem: 1127
Epoch: [3] [ 450/1405] eta: 0:02:10 lr: 0.000001 loss: 0.1959 (0.1831) labels_encoder: 0.1959 (0.1831) labels_encoder_unscaled: 0.1959 (0.1831) time: 0.1280 data: 0.0002 max mem: 1127
Epoch: [3] [ 500/1405] eta: 0:02:02 lr: 0.000001 loss: 0.1772 (0.1837) labels_encoder: 0.1772 (0.1837) labels_encoder_unscaled: 0.1772 (0.1837) time: 0.1251 data: 0.0002 max mem: 1127
Epoch: [3] [ 550/1405] eta: 0:01:55 lr: 0.000001 loss: 0.1774 (0.1828) labels_encoder: 0.1774 (0.1828) labels_encoder_unscaled: 0.1774 (0.1828) time: 0.1308 data: 0.0002 max mem: 1127
Epoch: [3] [ 600/1405] eta: 0:01:48 lr: 0.000001 loss: 0.1630 (0.1823) labels_encoder: 0.1630 (0.1823) labels_encoder_unscaled: 0.1630 (0.1823) time: 0.1399 data: 0.0002 max mem: 1127
Epoch: [3] [ 650/1405] eta: 0:01:41 lr: 0.000001 loss: 0.1539 (0.1819) labels_encoder: 0.1539 (0.1819) labels_encoder_unscaled: 0.1539 (0.1819) time: 0.1381 data: 0.0002 max mem: 1127
Epoch: [3] [ 700/1405] eta: 0:01:35 lr: 0.000001 loss: 0.1752 (0.1819) labels_encoder: 0.1752 (0.1819) labels_encoder_unscaled: 0.1752 (0.1819) time: 0.1269 data: 0.0002 max mem: 1127
Epoch: [3] [ 750/1405] eta: 0:01:28 lr: 0.000001 loss: 0.1733 (0.1818) labels_encoder: 0.1733 (0.1818) labels_encoder_unscaled: 0.1733 (0.1818) time: 0.1393 data: 0.0002 max mem: 1127
Epoch: [3] [ 800/1405] eta: 0:01:21 lr: 0.000001 loss: 0.1815 (0.1818) labels_encoder: 0.1815 (0.1818) labels_encoder_unscaled: 0.1815 (0.1818) time: 0.1340 data: 0.0003 max mem: 1127
Epoch: [3] [ 850/1405] eta: 0:01:14 lr: 0.000001 loss: 0.1768 (0.1817) labels_encoder: 0.1768 (0.1817) labels_encoder_unscaled: 0.1768 (0.1817) time: 0.1325 data: 0.0002 max mem: 1127
Epoch: [3] [ 900/1405] eta: 0:01:07 lr: 0.000001 loss: 0.1727 (0.1817) labels_encoder: 0.1727 (0.1817) labels_encoder_unscaled: 0.1727 (0.1817) time: 0.1380 data: 0.0002 max mem: 1127
Epoch: [3] [ 950/1405] eta: 0:01:01 lr: 0.000001 loss: 0.1766 (0.1819) labels_encoder: 0.1766 (0.1819) labels_encoder_unscaled: 0.1766 (0.1819) time: 0.1338 data: 0.0003 max mem: 1127
Epoch: [3] [1000/1405] eta: 0:00:54 lr: 0.000001 loss: 0.1705 (0.1819) labels_encoder: 0.1705 (0.1819) labels_encoder_unscaled: 0.1705 (0.1819) time: 0.1238 data: 0.0002 max mem: 1127
Epoch: [3] [1050/1405] eta: 0:00:47 lr: 0.000001 loss: 0.1903 (0.1821) labels_encoder: 0.1903 (0.1821) labels_encoder_unscaled: 0.1903 (0.1821) time: 0.1259 data: 0.0002 max mem: 1127
Epoch: [3] [1100/1405] eta: 0:00:40 lr: 0.000001 loss: 0.1672 (0.1816) labels_encoder: 0.1672 (0.1816) labels_encoder_unscaled: 0.1672 (0.1816) time: 0.1308 data: 0.0002 max mem: 1127
Epoch: [3] [1150/1405] eta: 0:00:33 lr: 0.000001 loss: 0.1526 (0.1813) labels_encoder: 0.1526 (0.1813) labels_encoder_unscaled: 0.1526 (0.1813) time: 0.1303 data: 0.0002 max mem: 1127
Epoch: [3] [1200/1405] eta: 0:00:27 lr: 0.000001 loss: 0.1844 (0.1815) labels_encoder: 0.1844 (0.1815) labels_encoder_unscaled: 0.1844 (0.1815) time: 0.1258 data: 0.0002 max mem: 1127
Epoch: [3] [1250/1405] eta: 0:00:20 lr: 0.000001 loss: 0.1835 (0.1814) labels_encoder: 0.1835 (0.1814) labels_encoder_unscaled: 0.1835 (0.1814) time: 0.1244 data: 0.0002 max mem: 1127
Epoch: [3] [1300/1405] eta: 0:00:13 lr: 0.000001 loss: 0.1627 (0.1811) labels_encoder: 0.1627 (0.1811) labels_encoder_unscaled: 0.1627 (0.1811) time: 0.1271 data: 0.0002 max mem: 1127
Epoch: [3] [1350/1405] eta: 0:00:07 lr: 0.000001 loss: 0.1902 (0.1807) labels_encoder: 0.1902 (0.1807) labels_encoder_unscaled: 0.1902 (0.1807) time: 0.1250 data: 0.0002 max mem: 1127
Epoch: [3] [1400/1405] eta: 0:00:00 lr: 0.000001 loss: 0.1810 (0.1806) labels_encoder: 0.1810 (0.1806) labels_encoder_unscaled: 0.1810 (0.1806) time: 0.1136 data: 0.0002 max mem: 1127
Epoch: [3] [1404/1405] eta: 0:00:00 lr: 0.000001 loss: 0.1632 (0.1805) labels_encoder: 0.1632 (0.1805) labels_encoder_unscaled: 0.1632 (0.1805) time: 0.1104 data: 0.0002 max mem: 1127
Epoch: [3] Total time: 0:03:05 (0.1321 s / it)
Averaged stats: lr: 0.000001 loss: 0.1632 (0.1805) labels_encoder: 0.1632 (0.1805) labels_encoder_unscaled: 0.1632 (0.1805)
Test: [ 0/1613] eta: 0:45:06 loss: 0.2198 (0.2198) labels_encoder: 0.2198 (0.2198) labels_encoder_unscaled: 0.2198 (0.2198) time: 1.6778 data: 1.6027 max mem: 1127
Test: [ 50/1613] eta: 0:02:13 loss: 0.2556 (0.6382) labels_encoder: 0.2556 (0.6382) labels_encoder_unscaled: 0.2556 (0.6382) time: 0.0510 data: 0.0002 max mem: 1127
Test: [ 100/1613] eta: 0:01:43 loss: 0.1166 (0.4742) labels_encoder: 0.1166 (0.4742) labels_encoder_unscaled: 0.1166 (0.4742) time: 0.0507 data: 0.0009 max mem: 1127
Test: [ 150/1613] eta: 0:01:31 loss: 0.4481 (0.4524) labels_encoder: 0.4481 (0.4524) labels_encoder_unscaled: 0.4481 (0.4524) time: 0.0529 data: 0.0002 max mem: 1127
Test: [ 200/1613] eta: 0:01:24 loss: 0.6746 (0.5289) labels_encoder: 0.6746 (0.5289) labels_encoder_unscaled: 0.6746 (0.5289) time: 0.0547 data: 0.0002 max mem: 1127
Test: [ 250/1613] eta: 0:01:19 loss: 0.2577 (0.5655) labels_encoder: 0.2577 (0.5655) labels_encoder_unscaled: 0.2577 (0.5655) time: 0.0573 data: 0.0002 max mem: 1127
Test: [ 300/1613] eta: 0:01:16 loss: 0.3211 (0.5882) labels_encoder: 0.3211 (0.5882) labels_encoder_unscaled: 0.3211 (0.5882) time: 0.0569 data: 0.0002 max mem: 1127
Test: [ 350/1613] eta: 0:01:12 loss: 0.8050 (0.5906) labels_encoder: 0.8050 (0.5906) labels_encoder_unscaled: 0.8050 (0.5906) time: 0.0521 data: 0.0001 max mem: 1127
Test: [ 400/1613] eta: 0:01:09 loss: 0.4238 (0.6758) labels_encoder: 0.4238 (0.6758) labels_encoder_unscaled: 0.4238 (0.6758) time: 0.0571 data: 0.0002 max mem: 1127
Test: [ 450/1613] eta: 0:01:06 loss: 0.5617 (0.7142) labels_encoder: 0.5617 (0.7142) labels_encoder_unscaled: 0.5617 (0.7142) time: 0.0591 data: 0.0002 max mem: 1127
Test: [ 500/1613] eta: 0:01:03 loss: 0.2301 (0.6777) labels_encoder: 0.2301 (0.6777) labels_encoder_unscaled: 0.2301 (0.6777) time: 0.0551 data: 0.0002 max mem: 1127
Test: [ 550/1613] eta: 0:01:00 loss: 0.5465 (0.6812) labels_encoder: 0.5465 (0.6812) labels_encoder_unscaled: 0.5465 (0.6812) time: 0.0582 data: 0.0002 max mem: 1127
Test: [ 600/1613] eta: 0:00:57 loss: 0.7793 (0.7057) labels_encoder: 0.7793 (0.7057) labels_encoder_unscaled: 0.7793 (0.7057) time: 0.0590 data: 0.0002 max mem: 1127
Test: [ 650/1613] eta: 0:00:55 loss: 0.5007 (0.6911) labels_encoder: 0.5007 (0.6911) labels_encoder_unscaled: 0.5007 (0.6911) time: 0.0568 data: 0.0002 max mem: 1127
Test: [ 700/1613] eta: 0:00:52 loss: 0.3416 (0.6782) labels_encoder: 0.3416 (0.6782) labels_encoder_unscaled: 0.3416 (0.6782) time: 0.0547 data: 0.0002 max mem: 1127
Test: [ 750/1613] eta: 0:00:49 loss: 0.3471 (0.6616) labels_encoder: 0.3471 (0.6616) labels_encoder_unscaled: 0.3471 (0.6616) time: 0.0546 data: 0.0002 max mem: 1127
Test: [ 800/1613] eta: 0:00:46 loss: 0.4686 (0.6623) labels_encoder: 0.4686 (0.6623) labels_encoder_unscaled: 0.4686 (0.6623) time: 0.0561 data: 0.0002 max mem: 1127
Test: [ 850/1613] eta: 0:00:43 loss: 0.8326 (0.6635) labels_encoder: 0.8326 (0.6635) labels_encoder_unscaled: 0.8326 (0.6635) time: 0.0559 data: 0.0002 max mem: 1127
Test: [ 900/1613] eta: 0:00:40 loss: 0.4307 (0.6817) labels_encoder: 0.4307 (0.6817) labels_encoder_unscaled: 0.4307 (0.6817) time: 0.0567 data: 0.0002 max mem: 1127
Test: [ 950/1613] eta: 0:00:37 loss: 0.5279 (0.6736) labels_encoder: 0.5279 (0.6736) labels_encoder_unscaled: 0.5279 (0.6736) time: 0.0545 data: 0.0002 max mem: 1127
Test: [1000/1613] eta: 0:00:34 loss: 0.3545 (0.6637) labels_encoder: 0.3545 (0.6637) labels_encoder_unscaled: 0.3545 (0.6637) time: 0.0536 data: 0.0002 max mem: 1127
Test: [1050/1613] eta: 0:00:32 loss: 0.5367 (0.6599) labels_encoder: 0.5367 (0.6599) labels_encoder_unscaled: 0.5367 (0.6599) time: 0.0590 data: 0.0002 max mem: 1127
Test: [1100/1613] eta: 0:00:29 loss: 0.4305 (0.6642) labels_encoder: 0.4305 (0.6642) labels_encoder_unscaled: 0.4305 (0.6642) time: 0.0557 data: 0.0002 max mem: 1127
Test: [1150/1613] eta: 0:00:26 loss: 0.4099 (0.6578) labels_encoder: 0.4099 (0.6578) labels_encoder_unscaled: 0.4099 (0.6578) time: 0.0580 data: 0.0002 max mem: 1127
Test: [1200/1613] eta: 0:00:23 loss: 0.3405 (0.6602) labels_encoder: 0.3405 (0.6602) labels_encoder_unscaled: 0.3405 (0.6602) time: 0.0545 data: 0.0002 max mem: 1127
Test: [1250/1613] eta: 0:00:20 loss: 0.2189 (0.6609) labels_encoder: 0.2189 (0.6609) labels_encoder_unscaled: 0.2189 (0.6609) time: 0.0519 data: 0.0002 max mem: 1127
Test: [1300/1613] eta: 0:00:17 loss: 0.3259 (0.6593) labels_encoder: 0.3259 (0.6593) labels_encoder_unscaled: 0.3259 (0.6593) time: 0.0600 data: 0.0013 max mem: 1127
Test: [1350/1613] eta: 0:00:14 loss: 0.5296 (0.6641) labels_encoder: 0.5296 (0.6641) labels_encoder_unscaled: 0.5296 (0.6641) time: 0.0592 data: 0.0002 max mem: 1127
Test: [1400/1613] eta: 0:00:12 loss: 0.6266 (0.6632) labels_encoder: 0.6266 (0.6632) labels_encoder_unscaled: 0.6266 (0.6632) time: 0.0497 data: 0.0002 max mem: 1127
Test: [1450/1613] eta: 0:00:09 loss: 0.3329 (0.6784) labels_encoder: 0.3329 (0.6784) labels_encoder_unscaled: 0.3329 (0.6784) time: 0.0576 data: 0.0002 max mem: 1127
Test: [1500/1613] eta: 0:00:06 loss: 0.3754 (0.6881) labels_encoder: 0.3754 (0.6881) labels_encoder_unscaled: 0.3754 (0.6881) time: 0.0494 data: 0.0002 max mem: 1127
Test: [1550/1613] eta: 0:00:03 loss: 0.5812 (0.6878) labels_encoder: 0.5812 (0.6878) labels_encoder_unscaled: 0.5812 (0.6878) time: 0.0476 data: 0.0008 max mem: 1127
Test: [1600/1613] eta: 0:00:00 loss: 0.6690 (0.6833) labels_encoder: 0.6690 (0.6833) labels_encoder_unscaled: 0.6690 (0.6833) time: 0.0514 data: 0.0001 max mem: 1127
Test: [1612/1613] eta: 0:00:00 loss: 0.5080 (0.6830) labels_encoder: 0.5080 (0.6830) labels_encoder_unscaled: 0.5080 (0.6830) time: 0.0353 data: 0.0001 max mem: 1127
Test: Total time: 0:01:29 (0.0558 s / it)
Averaged stats: loss: 0.5080 (0.6830) labels_encoder: 0.5080 (0.6830) labels_encoder_unscaled: 0.5080 (0.6830)
(21, 206375)
(21, 206375)
[Epoch-3] [IDU-anet] mAP: 0.5614, mcAP: 0.9735
BaseballPitch: 0.2435
BasketballDunk: 0.7351
Billiards: 0.3882
CleanAndJerk: 0.7678
CliffDiving: 0.7905
CricketBowling: 0.4249
CricketShot: 0.1844
Diving: 0.6847
FrisbeeCatch: 0.3856
GolfSwing: 0.4923
HammerThrow: 0.8437
HighJump: 0.5190
JavelinThrow: 0.7036
LongJump: 0.7952
PoleVault: 0.8503
Shotput: 0.6624
SoccerPenalty: 0.3674
TennisSwing: 0.4832
ThrowDiscus: 0.6360
VolleyballSpiking: 0.2702
Epoch: [4] [ 0/1405] eta: 0:39:08 lr: 0.000000 loss: 0.2019 (0.2019) labels_encoder: 0.2019 (0.2019) labels_encoder_unscaled: 0.2019 (0.2019) time: 1.6718 data: 1.5224 max mem: 1127
Epoch: [4] [ 50/1405] eta: 0:03:29 lr: 0.000000 loss: 0.1850 (0.1820) labels_encoder: 0.1850 (0.1820) labels_encoder_unscaled: 0.1850 (0.1820) time: 0.1211 data: 0.0002 max mem: 1127
Epoch: [4] [ 100/1405] eta: 0:03:02 lr: 0.000000 loss: 0.1752 (0.1813) labels_encoder: 0.1752 (0.1813) labels_encoder_unscaled: 0.1752 (0.1813) time: 0.1270 data: 0.0002 max mem: 1127
Epoch: [4] [ 150/1405] eta: 0:02:48 lr: 0.000000 loss: 0.1850 (0.1797) labels_encoder: 0.1850 (0.1797) labels_encoder_unscaled: 0.1850 (0.1797) time: 0.1263 data: 0.0002 max mem: 1127
Epoch: [4] [ 200/1405] eta: 0:02:39 lr: 0.000000 loss: 0.1742 (0.1779) labels_encoder: 0.1742 (0.1779) labels_encoder_unscaled: 0.1742 (0.1779) time: 0.1228 data: 0.0002 max mem: 1127
Epoch: [4] [ 250/1405] eta: 0:02:32 lr: 0.000000 loss: 0.1855 (0.1792) labels_encoder: 0.1855 (0.1792) labels_encoder_unscaled: 0.1855 (0.1792) time: 0.1328 data: 0.0002 max mem: 1127
Epoch: [4] [ 300/1405] eta: 0:02:25 lr: 0.000000 loss: 0.1671 (0.1783) labels_encoder: 0.1671 (0.1783) labels_encoder_unscaled: 0.1671 (0.1783) time: 0.1294 data: 0.0002 max mem: 1127
Epoch: [4] [ 350/1405] eta: 0:02:18 lr: 0.000000 loss: 0.1840 (0.1794) labels_encoder: 0.1840 (0.1794) labels_encoder_unscaled: 0.1840 (0.1794) time: 0.1294 data: 0.0002 max mem: 1127
Epoch: [4] [ 400/1405] eta: 0:02:12 lr: 0.000000 loss: 0.1542 (0.1771) labels_encoder: 0.1542 (0.1771) labels_encoder_unscaled: 0.1542 (0.1771) time: 0.1330 data: 0.0002 max mem: 1127
Epoch: [4] [ 450/1405] eta: 0:02:04 lr: 0.000000 loss: 0.1592 (0.1769) labels_encoder: 0.1592 (0.1769) labels_encoder_unscaled: 0.1592 (0.1769) time: 0.1260 data: 0.0002 max mem: 1127
Epoch: [4] [ 500/1405] eta: 0:01:57 lr: 0.000000 loss: 0.1617 (0.1769) labels_encoder: 0.1617 (0.1769) labels_encoder_unscaled: 0.1617 (0.1769) time: 0.1218 data: 0.0002 max mem: 1127
Epoch: [4] [ 550/1405] eta: 0:01:50 lr: 0.000000 loss: 0.1574 (0.1769) labels_encoder: 0.1574 (0.1769) labels_encoder_unscaled: 0.1574 (0.1769) time: 0.1265 data: 0.0003 max mem: 1127
Epoch: [4] [ 600/1405] eta: 0:01:44 lr: 0.000000 loss: 0.1640 (0.1769) labels_encoder: 0.1640 (0.1769) labels_encoder_unscaled: 0.1640 (0.1769) time: 0.1350 data: 0.0002 max mem: 1127
Epoch: [4] [ 650/1405] eta: 0:01:38 lr: 0.000000 loss: 0.1565 (0.1769) labels_encoder: 0.1565 (0.1769) labels_encoder_unscaled: 0.1565 (0.1769) time: 0.1342 data: 0.0002 max mem: 1127
Epoch: [4] [ 700/1405] eta: 0:01:32 lr: 0.000000 loss: 0.1701 (0.1766) labels_encoder: 0.1701 (0.1766) labels_encoder_unscaled: 0.1701 (0.1766) time: 0.1397 data: 0.0002 max mem: 1127
Epoch: [4] [ 750/1405] eta: 0:01:25 lr: 0.000000 loss: 0.1599 (0.1770) labels_encoder: 0.1599 (0.1770) labels_encoder_unscaled: 0.1599 (0.1770) time: 0.1316 data: 0.0003 max mem: 1127
Epoch: [4] [ 800/1405] eta: 0:01:19 lr: 0.000000 loss: 0.1887 (0.1777) labels_encoder: 0.1887 (0.1777) labels_encoder_unscaled: 0.1887 (0.1777) time: 0.1355 data: 0.0002 max mem: 1127
Epoch: [4] [ 850/1405] eta: 0:01:12 lr: 0.000000 loss: 0.1697 (0.1778) labels_encoder: 0.1697 (0.1778) labels_encoder_unscaled: 0.1697 (0.1778) time: 0.1305 data: 0.0002 max mem: 1127
Epoch: [4] [ 900/1405] eta: 0:01:06 lr: 0.000000 loss: 0.1883 (0.1779) labels_encoder: 0.1883 (0.1779) labels_encoder_unscaled: 0.1883 (0.1779) time: 0.1338 data: 0.0002 max mem: 1127
Epoch: [4] [ 950/1405] eta: 0:00:59 lr: 0.000000 loss: 0.1802 (0.1776) labels_encoder: 0.1802 (0.1776) labels_encoder_unscaled: 0.1802 (0.1776) time: 0.1334 data: 0.0002 max mem: 1127
Epoch: [4] [1000/1405] eta: 0:00:53 lr: 0.000000 loss: 0.1843 (0.1778) labels_encoder: 0.1843 (0.1778) labels_encoder_unscaled: 0.1843 (0.1778) time: 0.1250 data: 0.0002 max mem: 1127
Epoch: [4] [1050/1405] eta: 0:00:46 lr: 0.000000 loss: 0.1823 (0.1779) labels_encoder: 0.1823 (0.1779) labels_encoder_unscaled: 0.1823 (0.1779) time: 0.1187 data: 0.0002 max mem: 1127
Epoch: [4] [1100/1405] eta: 0:00:39 lr: 0.000000 loss: 0.1687 (0.1776) labels_encoder: 0.1687 (0.1776) labels_encoder_unscaled: 0.1687 (0.1776) time: 0.1143 data: 0.0002 max mem: 1127
Epoch: [4] [1150/1405] eta: 0:00:33 lr: 0.000000 loss: 0.1693 (0.1777) labels_encoder: 0.1693 (0.1777) labels_encoder_unscaled: 0.1693 (0.1777) time: 0.1136 data: 0.0002 max mem: 1127
Epoch: [4] [1200/1405] eta: 0:00:26 lr: 0.000000 loss: 0.1726 (0.1777) labels_encoder: 0.1726 (0.1777) labels_encoder_unscaled: 0.1726 (0.1777) time: 0.1143 data: 0.0001 max mem: 1127
Epoch: [4] [1250/1405] eta: 0:00:19 lr: 0.000000 loss: 0.1825 (0.1777) labels_encoder: 0.1825 (0.1777) labels_encoder_unscaled: 0.1825 (0.1777) time: 0.1229 data: 0.0002 max mem: 1127
Epoch: [4] [1300/1405] eta: 0:00:13 lr: 0.000000 loss: 0.1567 (0.1778) labels_encoder: 0.1567 (0.1778) labels_encoder_unscaled: 0.1567 (0.1778) time: 0.1296 data: 0.0002 max mem: 1127
Epoch: [4] [1350/1405] eta: 0:00:07 lr: 0.000000 loss: 0.1819 (0.1779) labels_encoder: 0.1819 (0.1779) labels_encoder_unscaled: 0.1819 (0.1779) time: 0.1325 data: 0.0002 max mem: 1127
Epoch: [4] [1400/1405] eta: 0:00:00 lr: 0.000000 loss: 0.1658 (0.1779) labels_encoder: 0.1658 (0.1779) labels_encoder_unscaled: 0.1658 (0.1779) time: 0.1235 data: 0.0004 max mem: 1127
Epoch: [4] [1404/1405] eta: 0:00:00 lr: 0.000000 loss: 0.1594 (0.1778) labels_encoder: 0.1594 (0.1778) labels_encoder_unscaled: 0.1594 (0.1778) time: 0.1212 data: 0.0004 max mem: 1127
Epoch: [4] Total time: 0:03:01 (0.1294 s / it)
Averaged stats: lr: 0.000000 loss: 0.1594 (0.1778) labels_encoder: 0.1594 (0.1778) labels_encoder_unscaled: 0.1594 (0.1778)
Test: [ 0/1613] eta: 0:38:50 loss: 0.2354 (0.2354) labels_encoder: 0.2354 (0.2354) labels_encoder_unscaled: 0.2354 (0.2354) time: 1.4451 data: 1.3804 max mem: 1127
Test: [ 50/1613] eta: 0:02:17 loss: 0.3146 (0.6564) labels_encoder: 0.3146 (0.6564) labels_encoder_unscaled: 0.3146 (0.6564) time: 0.0532 data: 0.0002 max mem: 1127
Test: [ 100/1613] eta: 0:01:47 loss: 0.1029 (0.4849) labels_encoder: 0.1029 (0.4849) labels_encoder_unscaled: 0.1029 (0.4849) time: 0.0545 data: 0.0002 max mem: 1127
Test: [ 150/1613] eta: 0:01:35 loss: 0.5278 (0.4612) labels_encoder: 0.5278 (0.4612) labels_encoder_unscaled: 0.5278 (0.4612) time: 0.0517 data: 0.0002 max mem: 1127
Test: [ 200/1613] eta: 0:01:27 loss: 0.6588 (0.5356) labels_encoder: 0.6588 (0.5356) labels_encoder_unscaled: 0.6588 (0.5356) time: 0.0498 data: 0.0002 max mem: 1127
Test: [ 250/1613] eta: 0:01:20 loss: 0.2593 (0.5721) labels_encoder: 0.2593 (0.5721) labels_encoder_unscaled: 0.2593 (0.5721) time: 0.0537 data: 0.0002 max mem: 1127
Test: [ 300/1613] eta: 0:01:16 loss: 0.3252 (0.5961) labels_encoder: 0.3252 (0.5961) labels_encoder_unscaled: 0.3252 (0.5961) time: 0.0513 data: 0.0002 max mem: 1127
Test: [ 350/1613] eta: 0:01:11 loss: 0.7101 (0.5974) labels_encoder: 0.7101 (0.5974) labels_encoder_unscaled: 0.7101 (0.5974) time: 0.0500 data: 0.0001 max mem: 1127
Test: [ 400/1613] eta: 0:01:07 loss: 0.4288 (0.6846) labels_encoder: 0.4288 (0.6846) labels_encoder_unscaled: 0.4288 (0.6846) time: 0.0442 data: 0.0002 max mem: 1127
Test: [ 450/1613] eta: 0:01:03 loss: 0.5298 (0.7226) labels_encoder: 0.5298 (0.7226) labels_encoder_unscaled: 0.5298 (0.7226) time: 0.0458 data: 0.0001 max mem: 1127
Test: [ 500/1613] eta: 0:00:59 loss: 0.1821 (0.6857) labels_encoder: 0.1821 (0.6857) labels_encoder_unscaled: 0.1821 (0.6857) time: 0.0467 data: 0.0002 max mem: 1127
Test: [ 550/1613] eta: 0:00:56 loss: 0.5171 (0.6872) labels_encoder: 0.5171 (0.6872) labels_encoder_unscaled: 0.5171 (0.6872) time: 0.0486 data: 0.0002 max mem: 1127
Test: [ 600/1613] eta: 0:00:53 loss: 0.9077 (0.7153) labels_encoder: 0.9077 (0.7153) labels_encoder_unscaled: 0.9077 (0.7153) time: 0.0534 data: 0.0002 max mem: 1127
Test: [ 650/1613] eta: 0:00:51 loss: 0.4116 (0.6989) labels_encoder: 0.4116 (0.6989) labels_encoder_unscaled: 0.4116 (0.6989) time: 0.0523 data: 0.0002 max mem: 1127
Test: [ 700/1613] eta: 0:00:48 loss: 0.3688 (0.6865) labels_encoder: 0.3688 (0.6865) labels_encoder_unscaled: 0.3688 (0.6865) time: 0.0536 data: 0.0002 max mem: 1127
Test: [ 750/1613] eta: 0:00:45 loss: 0.3352 (0.6706) labels_encoder: 0.3352 (0.6706) labels_encoder_unscaled: 0.3352 (0.6706) time: 0.0512 data: 0.0002 max mem: 1127
Test: [ 800/1613] eta: 0:00:43 loss: 0.5190 (0.6703) labels_encoder: 0.5190 (0.6703) labels_encoder_unscaled: 0.5190 (0.6703) time: 0.0537 data: 0.0002 max mem: 1127
Test: [ 850/1613] eta: 0:00:40 loss: 0.8020 (0.6695) labels_encoder: 0.8020 (0.6695) labels_encoder_unscaled: 0.8020 (0.6695) time: 0.0535 data: 0.0002 max mem: 1127
Test: [ 900/1613] eta: 0:00:37 loss: 0.4728 (0.6880) labels_encoder: 0.4728 (0.6880) labels_encoder_unscaled: 0.4728 (0.6880) time: 0.0474 data: 0.0002 max mem: 1127
Test: [ 950/1613] eta: 0:00:35 loss: 0.4739 (0.6806) labels_encoder: 0.4739 (0.6806) labels_encoder_unscaled: 0.4739 (0.6806) time: 0.0549 data: 0.0002 max mem: 1127
Test: [1000/1613] eta: 0:00:32 loss: 0.3126 (0.6698) labels_encoder: 0.3126 (0.6698) labels_encoder_unscaled: 0.3126 (0.6698) time: 0.0556 data: 0.0002 max mem: 1127
Test: [1050/1613] eta: 0:00:29 loss: 0.5108 (0.6658) labels_encoder: 0.5108 (0.6658) labels_encoder_unscaled: 0.5108 (0.6658) time: 0.0543 data: 0.0002 max mem: 1127
Test: [1100/1613] eta: 0:00:27 loss: 0.3643 (0.6697) labels_encoder: 0.3643 (0.6697) labels_encoder_unscaled: 0.3643 (0.6697) time: 0.0544 data: 0.0002 max mem: 1127
Test: [1150/1613] eta: 0:00:24 loss: 0.3918 (0.6627) labels_encoder: 0.3918 (0.6627) labels_encoder_unscaled: 0.3918 (0.6627) time: 0.0541 data: 0.0001 max mem: 1127
Test: [1200/1613] eta: 0:00:22 loss: 0.3676 (0.6651) labels_encoder: 0.3676 (0.6651) labels_encoder_unscaled: 0.3676 (0.6651) time: 0.0518 data: 0.0002 max mem: 1127
Test: [1250/1613] eta: 0:00:19 loss: 0.2709 (0.6647) labels_encoder: 0.2709 (0.6647) labels_encoder_unscaled: 0.2709 (0.6647) time: 0.0489 data: 0.0002 max mem: 1127
Test: [1300/1613] eta: 0:00:16 loss: 0.2857 (0.6630) labels_encoder: 0.2857 (0.6630) labels_encoder_unscaled: 0.2857 (0.6630) time: 0.0474 data: 0.0001 max mem: 1127
Test: [1350/1613] eta: 0:00:13 loss: 0.5612 (0.6684) labels_encoder: 0.5612 (0.6684) labels_encoder_unscaled: 0.5612 (0.6684) time: 0.0557 data: 0.0002 max mem: 1127
Test: [1400/1613] eta: 0:00:11 loss: 0.6784 (0.6686) labels_encoder: 0.6784 (0.6686) labels_encoder_unscaled: 0.6784 (0.6686) time: 0.0562 data: 0.0002 max mem: 1127
Test: [1450/1613] eta: 0:00:08 loss: 0.3180 (0.6831) labels_encoder: 0.3180 (0.6831) labels_encoder_unscaled: 0.3180 (0.6831) time: 0.0538 data: 0.0002 max mem: 1127
Test: [1500/1613] eta: 0:00:06 loss: 0.4209 (0.6913) labels_encoder: 0.4209 (0.6913) labels_encoder_unscaled: 0.4209 (0.6913) time: 0.0568 data: 0.0002 max mem: 1127
Test: [1550/1613] eta: 0:00:03 loss: 0.5618 (0.6910) labels_encoder: 0.5618 (0.6910) labels_encoder_unscaled: 0.5618 (0.6910) time: 0.0547 data: 0.0009 max mem: 1127
Test: [1600/1613] eta: 0:00:00 loss: 0.6046 (0.6868) labels_encoder: 0.6046 (0.6868) labels_encoder_unscaled: 0.6046 (0.6868) time: 0.0504 data: 0.0002 max mem: 1127
Test: [1612/1613] eta: 0:00:00 loss: 0.4924 (0.6865) labels_encoder: 0.4924 (0.6865) labels_encoder_unscaled: 0.4924 (0.6865) time: 0.0339 data: 0.0001 max mem: 1127
Test: Total time: 0:01:26 (0.0534 s / it)
Averaged stats: loss: 0.4924 (0.6865) labels_encoder: 0.4924 (0.6865) labels_encoder_unscaled: 0.4924 (0.6865)
(21, 206375)
(21, 206375)
[Epoch-4] [IDU-anet] mAP: 0.5596, mcAP: 0.9731
BaseballPitch: 0.2179
BasketballDunk: 0.7422
Billiards: 0.3963
CleanAndJerk: 0.7685
CliffDiving: 0.7941
CricketBowling: 0.4028
CricketShot: 0.1853
Diving: 0.6810
FrisbeeCatch: 0.3555
GolfSwing: 0.5284
HammerThrow: 0.8403
HighJump: 0.5214
JavelinThrow: 0.7067
LongJump: 0.7959
PoleVault: 0.8523
Shotput: 0.6587
SoccerPenalty: 0.3758
TennisSwing: 0.4826
ThrowDiscus: 0.6319
VolleyballSpiking: 0.2541
Training time 0:18:13