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oadtr_b2_recycling_learned_64_seed1_anet.txt
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Unable to compile CoConv C++ implementation. Falling back to Python version.
[Errno 2] No such file or directory: '/home/lh/.conda/envs/oadtr/lib/python3.8/site-packages/continual/conv.cpp'
Failed to add flops_counter_hook: module 'ptflops.flops_counter' has no attribute 'conv_flops_counter_hook'
Failed to add flops_counter_hook: module 'ptflops.flops_counter' has no attribute 'MODULES_MAPPING'
Not using distributed mode
lr:0.0001
batch_size:128
weight_decay:0.0001
epochs:5
resize_feature:False
lr_drop:1
clip_max_norm:1.0
dataparallel:False
removelog:False
version:v3
query_num:8
decoder_layers:5
decoder_embedding_dim:1024
decoder_embedding_dim_out:1024
decoder_attn_dropout_rate:0.1
decoder_num_heads:4
classification_pred_loss_coef:0.5
enc_layers:64
lr_backbone:0.0001
feature:anet
dim_feature:3072
patch_dim:1
embedding_dim:1024
num_heads:8
num_layers:2
attn_dropout_rate:0.1
positional_encoding_type:recycling_learned
num_embeddings:64
hidden_dim:1024
dropout_rate:0.1
numclass:22
classification_x_loss_coef:0.3
classification_h_loss_coef:1
similar_loss_coef:0.1
margin:1.0
dataset:thumos
dataset_file:data/data_info_new.json
frozen_weights:None
thumos_data_path:/home/dancer/mycode/Temporal.Online.Detection/Online.TRN.Pytorch/preprocess/
thumos_anno_path:data/thumos_{}_anno.pickle
remove_difficult:False
device:cuda
output_dir:models
seed:1
resume:
start_epoch:1
eval:False
num_workers:8
world_size:1
dist_url:tcp://127.0.0.1:12342
train_session_set:['video_validation_0000690', 'video_validation_0000288', 'video_validation_0000289', 'video_validation_0000416', 'video_validation_0000282', 'video_validation_0000283', 'video_validation_0000281', 'video_validation_0000286', 'video_validation_0000287', 'video_validation_0000284', 'video_validation_0000285', 'video_validation_0000202', 'video_validation_0000203', 'video_validation_0000201', 'video_validation_0000206', 'video_validation_0000207', 'video_validation_0000204', 'video_validation_0000205', 'video_validation_0000790', 'video_validation_0000208', 'video_validation_0000209', 'video_validation_0000420', 'video_validation_0000364', 'video_validation_0000853', 'video_validation_0000950', 'video_validation_0000937', 'video_validation_0000367', 'video_validation_0000290', 'video_validation_0000210', 'video_validation_0000059', 'video_validation_0000058', 'video_validation_0000057', 'video_validation_0000056', 'video_validation_0000055', 'video_validation_0000054', 'video_validation_0000053', 'video_validation_0000052', 'video_validation_0000051', 'video_validation_0000933', 'video_validation_0000949', 'video_validation_0000948', 'video_validation_0000945', 'video_validation_0000944', 'video_validation_0000947', 'video_validation_0000946', 'video_validation_0000941', 'video_validation_0000940', 'video_validation_0000190', 'video_validation_0000942', 'video_validation_0000261', 'video_validation_0000262', 'video_validation_0000263', 'video_validation_0000264', 'video_validation_0000265', 'video_validation_0000266', 'video_validation_0000267', 'video_validation_0000268', 'video_validation_0000269', 'video_validation_0000989', 'video_validation_0000060', 'video_validation_0000370', 'video_validation_0000938', 'video_validation_0000935', 'video_validation_0000668', 'video_validation_0000669', 'video_validation_0000664', 'video_validation_0000665', 'video_validation_0000932', 'video_validation_0000667', 'video_validation_0000934', 'video_validation_0000661', 'video_validation_0000662', 'video_validation_0000663', 'video_validation_0000181', 'video_validation_0000180', 'video_validation_0000183', 'video_validation_0000182', 'video_validation_0000185', 'video_validation_0000184', 'video_validation_0000187', 'video_validation_0000186', 'video_validation_0000189', 'video_validation_0000188', 'video_validation_0000936', 'video_validation_0000270', 'video_validation_0000854', 'video_validation_0000178', 'video_validation_0000179', 'video_validation_0000174', 'video_validation_0000175', 'video_validation_0000176', 'video_validation_0000177', 'video_validation_0000170', 'video_validation_0000171', 'video_validation_0000172', 'video_validation_0000173', 'video_validation_0000670', 'video_validation_0000419', 'video_validation_0000943', 'video_validation_0000485', 'video_validation_0000369', 'video_validation_0000368', 'video_validation_0000318', 'video_validation_0000319', 'video_validation_0000415', 'video_validation_0000414', 'video_validation_0000413', 'video_validation_0000412', 'video_validation_0000411', 'video_validation_0000311', 'video_validation_0000312', 'video_validation_0000313', 'video_validation_0000314', 'video_validation_0000315', 'video_validation_0000316', 'video_validation_0000317', 'video_validation_0000418', 'video_validation_0000365', 'video_validation_0000482', 'video_validation_0000169', 'video_validation_0000168', 'video_validation_0000167', 'video_validation_0000166', 'video_validation_0000165', 'video_validation_0000164', 'video_validation_0000163', 'video_validation_0000162', 'video_validation_0000161', 'video_validation_0000160', 'video_validation_0000857', 'video_validation_0000856', 'video_validation_0000855', 'video_validation_0000366', 'video_validation_0000488', 'video_validation_0000489', 'video_validation_0000851', 'video_validation_0000484', 'video_validation_0000361', 'video_validation_0000486', 'video_validation_0000487', 'video_validation_0000481', 'video_validation_0000910', 'video_validation_0000483', 'video_validation_0000363', 'video_validation_0000990', 'video_validation_0000939', 'video_validation_0000362', 'video_validation_0000987', 'video_validation_0000859', 'video_validation_0000787', 'video_validation_0000786', 'video_validation_0000785', 'video_validation_0000784', 'video_validation_0000783', 'video_validation_0000782', 'video_validation_0000781', 'video_validation_0000981', 'video_validation_0000983', 'video_validation_0000982', 'video_validation_0000985', 'video_validation_0000984', 'video_validation_0000417', 'video_validation_0000788', 'video_validation_0000152', 'video_validation_0000153', 'video_validation_0000151', 'video_validation_0000156', 'video_validation_0000157', 'video_validation_0000154', 'video_validation_0000155', 'video_validation_0000158', 'video_validation_0000159', 'video_validation_0000901', 'video_validation_0000903', 'video_validation_0000902', 'video_validation_0000905', 'video_validation_0000904', 'video_validation_0000907', 'video_validation_0000906', 'video_validation_0000909', 'video_validation_0000908', 'video_validation_0000490', 'video_validation_0000860', 'video_validation_0000858', 'video_validation_0000988', 'video_validation_0000320', 'video_validation_0000688', 'video_validation_0000689', 'video_validation_0000686', 'video_validation_0000687', 'video_validation_0000684', 'video_validation_0000685', 'video_validation_0000682', 'video_validation_0000683', 'video_validation_0000681', 'video_validation_0000789', 'video_validation_0000986', 'video_validation_0000931', 'video_validation_0000852', 'video_validation_0000666']
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test_session_set:['video_test_0000292', 'video_test_0001078', 'video_test_0000896', 'video_test_0000897', 'video_test_0000950', 'video_test_0001159', 'video_test_0001079', 'video_test_0000807', 'video_test_0000179', 'video_test_0000173', 'video_test_0001072', 'video_test_0001075', 'video_test_0000767', 'video_test_0001076', 'video_test_0000007', 'video_test_0000006', 'video_test_0000556', 'video_test_0001307', 'video_test_0001153', 'video_test_0000718', 'video_test_0000716', 'video_test_0001309', 'video_test_0000714', 'video_test_0000558', 'video_test_0001267', 'video_test_0000367', 'video_test_0001324', 'video_test_0000085', 'video_test_0000887', 'video_test_0001281', 'video_test_0000882', 'video_test_0000671', 'video_test_0000964', 'video_test_0001164', 'video_test_0001114', 'video_test_0000771', 'video_test_0001163', 'video_test_0001118', 'video_test_0001201', 'video_test_0001040', 'video_test_0001207', 'video_test_0000723', 'video_test_0000569', 'video_test_0000672', 'video_test_0000673', 'video_test_0000278', 'video_test_0001162', 'video_test_0000405', 'video_test_0000073', 'video_test_0000560', 'video_test_0001276', 'video_test_0000270', 'video_test_0000273', 'video_test_0000374', 'video_test_0000372', 'video_test_0001168', 'video_test_0000379', 'video_test_0001446', 'video_test_0001447', 'video_test_0001098', 'video_test_0000873', 'video_test_0000039', 'video_test_0000442', 'video_test_0001219', 'video_test_0000762', 'video_test_0000611', 'video_test_0000617', 'video_test_0000615', 'video_test_0001270', 'video_test_0000740', 'video_test_0000293', 'video_test_0000504', 'video_test_0000505', 'video_test_0000665', 'video_test_0000664', 'video_test_0000577', 'video_test_0000814', 'video_test_0001369', 'video_test_0001194', 'video_test_0001195', 'video_test_0001512', 'video_test_0001235', 'video_test_0001459', 'video_test_0000691', 'video_test_0000765', 'video_test_0001452', 'video_test_0000188', 'video_test_0000591', 'video_test_0001268', 'video_test_0000593', 'video_test_0000864', 'video_test_0000601', 'video_test_0001135', 'video_test_0000004', 'video_test_0000903', 'video_test_0000285', 'video_test_0001174', 'video_test_0000046', 'video_test_0000045', 'video_test_0001223', 'video_test_0001358', 'video_test_0001134', 'video_test_0000698', 'video_test_0000461', 'video_test_0001182', 'video_test_0000450', 'video_test_0000602', 'video_test_0001229', 'video_test_0000989', 'video_test_0000357', 'video_test_0001039', 'video_test_0000355', 'video_test_0000353', 'video_test_0001508', 'video_test_0000981', 'video_test_0000242', 'video_test_0000854', 'video_test_0001484', 'video_test_0000635', 'video_test_0001129', 'video_test_0001339', 'video_test_0001483', 'video_test_0001123', 'video_test_0001127', 'video_test_0000689', 'video_test_0000756', 'video_test_0001431', 'video_test_0000129', 'video_test_0001433', 'video_test_0001343', 'video_test_0000324', 'video_test_0001064', 'video_test_0001531', 'video_test_0001532', 'video_test_0000413', 'video_test_0000991', 'video_test_0001255', 'video_test_0000464', 'video_test_0001202', 'video_test_0001080', 'video_test_0001081', 'video_test_0000847', 'video_test_0000028', 'video_test_0000844', 'video_test_0000622', 'video_test_0000026', 'video_test_0001325', 'video_test_0001496', 'video_test_0001495', 'video_test_0000624', 'video_test_0000724', 'video_test_0001409', 'video_test_0000131', 'video_test_0000448', 'video_test_0000444', 'video_test_0000443', 'video_test_0001038', 'video_test_0000238', 'video_test_0001527', 'video_test_0001522', 'video_test_0000051', 'video_test_0001058', 'video_test_0001391', 'video_test_0000429', 'video_test_0000426', 'video_test_0000785', 'video_test_0000786', 'video_test_0001314', 'video_test_0000392', 'video_test_0000423', 'video_test_0001146', 'video_test_0001313', 'video_test_0001008', 'video_test_0001247', 'video_test_0000737', 'video_test_0001319', 'video_test_0000308', 'video_test_0000730', 'video_test_0000058', 'video_test_0000538', 'video_test_0001556', 'video_test_0000113', 'video_test_0000626', 'video_test_0000839', 'video_test_0000220', 'video_test_0001389', 'video_test_0000437', 'video_test_0000940', 'video_test_0000211', 'video_test_0000946', 'video_test_0001558', 'video_test_0000796', 'video_test_0000062', 'video_test_0000793', 'video_test_0000987', 'video_test_0001066', 'video_test_0000412', 'video_test_0000798', 'video_test_0001549', 'video_test_0000011', 'video_test_0001257', 'video_test_0000541', 'video_test_0000701', 'video_test_0000250', 'video_test_0000254', 'video_test_0000549', 'video_test_0001209', 'video_test_0001463', 'video_test_0001460', 'video_test_0000319', 'video_test_0001468', 'video_test_0000846', 'video_test_0001292']
class_index:['Background', 'BaseballPitch', 'BasketballDunk', 'Billiards', 'CleanAndJerk', 'CliffDiving', 'CricketBowling', 'CricketShot', 'Diving', 'FrisbeeCatch', 'GolfSwing', 'HammerThrow', 'HighJump', 'JavelinThrow', 'LongJump', 'PoleVault', 'Shotput', 'SoccerPenalty', 'TennisSwing', 'ThrowDiscus', 'VolleyballSpiking', 'Ambiguous']
distributed:False
position encoding : recycling_learned
Warning: variables __flops__ or __params__ are already defined for the moduleGELU ptflops can affect your code!
Sequential(
15.756 M, 99.521% Params, 0.411 GMac, 100.000% MACs,
(0): Linear(3.147 M, 19.876% Params, 0.003 GMac, 0.766% MACs, in_features=3072, out_features=1024, bias=True, channel_dim=1)
(1): RecyclingPositionalEncoding(
0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs,
(pe): Embedding(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 64, 1024)
)
(2): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
(3): Sequential(
12.587 M, 79.503% Params, 0.408 GMac, 99.229% MACs,
(0): Sequential(
6.294 M, 39.752% Params, 0.205 GMac, 49.932% MACs,
(0): BroadcastReduce(
4.194 M, 26.492% Params, 0.071 GMac, 17.223% MACs, reduce=reduce_sum
(0): RetroactiveUnity(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 63)
(1): CoReMultiheadAttention(
4.194 M, 26.492% Params, 0.071 GMac, 17.223% MACs,
(out_proj): NonDynamicallyQuantizableLinear(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=False)
)
)
(1): Lambda(Sequential(
2.099 M, 13.259% Params, 0.134 GMac, 32.709% MACs,
(0): LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True)
(1): Residual(
2.099 M, 13.259% Params, 0.134 GMac, 32.709% MACs,
(fn): Sequential(
2.099 M, 13.259% Params, 0.134 GMac, 32.709% MACs,
(0): Linear(1.05 M, 6.630% Params, 0.067 GMac, 16.347% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(1): GELU(0.0 M, 0.000% Params, 0.0 GMac, 0.016% MACs, )
(2): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
(3): Linear(1.05 M, 6.630% Params, 0.067 GMac, 16.347% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(4): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
)
)
(2): LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True)
))
)
(1): Lambda(Sequential(
6.294 M, 39.752% Params, 0.203 GMac, 49.296% MACs,
(0): BroadcastReduce(
4.194 M, 26.492% Params, 0.203 GMac, 49.280% MACs, reduce=sum_last_pairs
(0): SelectOrDelay(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 0)
(1): CoSiMultiheadAttention(
4.194 M, 26.492% Params, 0.203 GMac, 49.280% MACs,
(out_proj): NonDynamicallyQuantizableLinear(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=False)
)
)
(1): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
(2): BroadcastReduce(
2.099 M, 13.259% Params, 0.0 GMac, 0.017% MACs, reduce=reduce_sum
(0): Delay(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, 0)
(1): Sequential(
2.099 M, 13.259% Params, 0.0 GMac, 0.017% MACs,
(0): Linear(1.05 M, 6.630% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(1): GELU(0.0 M, 0.000% Params, 0.0 GMac, 0.016% MACs, )
(2): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
(3): Linear(1.05 M, 6.630% Params, 0.0 GMac, 0.000% MACs, in_features=1024, out_features=1024, bias=True, channel_dim=1)
(4): Dropout(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, p=0.1, inplace=False)
)
)
(3): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
), takes_time=True)
(2): Lambda(unity, squeeze_last, squeeze_last, takes_time=True)
)
(4): Lambda(LayerNorm(0.0 M, 0.000% Params, 0.0 GMac, 0.000% MACs, (1024,), eps=1e-05, elementwise_affine=True))
(5): Linear(0.023 M, 0.142% Params, 0.0 GMac, 0.005% MACs, in_features=1024, out_features=22, bias=True, channel_dim=1)
)
Model FLOPs: 410939416.0
Model params: 15832086
Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument index in method wrapper__index_select)
Loaded data/thumos_anet_val.pickle
Loaded data/thumos_anet_test.pickle
Start training
Epoch: [1] [ 0/1415] eta: 1:04:59 lr: 0.000100 loss: 2.8332 (2.8332) labels_encoder: 2.8332 (2.8332) labels_encoder_unscaled: 2.8332 (2.8332) time: 2.7557 data: 1.8762 max mem: 945
Epoch: [1] [ 50/1415] eta: 0:04:05 lr: 0.000100 loss: 0.7766 (0.9636) labels_encoder: 0.7766 (0.9636) labels_encoder_unscaled: 0.7766 (0.9636) time: 0.1277 data: 0.0002 max mem: 1126
Epoch: [1] [ 100/1415] eta: 0:03:21 lr: 0.000100 loss: 0.6392 (0.7984) labels_encoder: 0.6392 (0.7984) labels_encoder_unscaled: 0.6392 (0.7984) time: 0.1248 data: 0.0002 max mem: 1126
Epoch: [1] [ 150/1415] eta: 0:03:00 lr: 0.000100 loss: 0.4900 (0.7192) labels_encoder: 0.4900 (0.7192) labels_encoder_unscaled: 0.4900 (0.7192) time: 0.1199 data: 0.0002 max mem: 1126
Epoch: [1] [ 200/1415] eta: 0:02:50 lr: 0.000100 loss: 0.5101 (0.6720) labels_encoder: 0.5101 (0.6720) labels_encoder_unscaled: 0.5101 (0.6720) time: 0.1317 data: 0.0002 max mem: 1126
Epoch: [1] [ 250/1415] eta: 0:02:41 lr: 0.000100 loss: 0.4200 (0.6313) labels_encoder: 0.4200 (0.6313) labels_encoder_unscaled: 0.4200 (0.6313) time: 0.1362 data: 0.0002 max mem: 1126
Epoch: [1] [ 300/1415] eta: 0:02:32 lr: 0.000100 loss: 0.4027 (0.6014) labels_encoder: 0.4027 (0.6014) labels_encoder_unscaled: 0.4027 (0.6014) time: 0.1292 data: 0.0002 max mem: 1126
Epoch: [1] [ 350/1415] eta: 0:02:23 lr: 0.000100 loss: 0.4099 (0.5773) labels_encoder: 0.4099 (0.5773) labels_encoder_unscaled: 0.4099 (0.5773) time: 0.1224 data: 0.0007 max mem: 1126
Epoch: [1] [ 400/1415] eta: 0:02:16 lr: 0.000100 loss: 0.4152 (0.5569) labels_encoder: 0.4152 (0.5569) labels_encoder_unscaled: 0.4152 (0.5569) time: 0.1301 data: 0.0002 max mem: 1126
Epoch: [1] [ 450/1415] eta: 0:02:09 lr: 0.000100 loss: 0.3947 (0.5417) labels_encoder: 0.3947 (0.5417) labels_encoder_unscaled: 0.3947 (0.5417) time: 0.1246 data: 0.0002 max mem: 1126
Epoch: [1] [ 500/1415] eta: 0:02:01 lr: 0.000100 loss: 0.3936 (0.5265) labels_encoder: 0.3936 (0.5265) labels_encoder_unscaled: 0.3936 (0.5265) time: 0.1246 data: 0.0002 max mem: 1126
Epoch: [1] [ 550/1415] eta: 0:01:54 lr: 0.000100 loss: 0.3191 (0.5124) labels_encoder: 0.3191 (0.5124) labels_encoder_unscaled: 0.3191 (0.5124) time: 0.1342 data: 0.0002 max mem: 1126
Epoch: [1] [ 600/1415] eta: 0:01:47 lr: 0.000100 loss: 0.3224 (0.4989) labels_encoder: 0.3224 (0.4989) labels_encoder_unscaled: 0.3224 (0.4989) time: 0.1266 data: 0.0002 max mem: 1126
Epoch: [1] [ 650/1415] eta: 0:01:41 lr: 0.000100 loss: 0.3411 (0.4869) labels_encoder: 0.3411 (0.4869) labels_encoder_unscaled: 0.3411 (0.4869) time: 0.1335 data: 0.0002 max mem: 1126
Epoch: [1] [ 700/1415] eta: 0:01:34 lr: 0.000100 loss: 0.3175 (0.4764) labels_encoder: 0.3175 (0.4764) labels_encoder_unscaled: 0.3175 (0.4764) time: 0.1249 data: 0.0002 max mem: 1126
Epoch: [1] [ 750/1415] eta: 0:01:27 lr: 0.000100 loss: 0.3635 (0.4677) labels_encoder: 0.3635 (0.4677) labels_encoder_unscaled: 0.3635 (0.4677) time: 0.1302 data: 0.0002 max mem: 1126
Epoch: [1] [ 800/1415] eta: 0:01:20 lr: 0.000100 loss: 0.3538 (0.4610) labels_encoder: 0.3538 (0.4610) labels_encoder_unscaled: 0.3538 (0.4610) time: 0.1259 data: 0.0002 max mem: 1126
Epoch: [1] [ 850/1415] eta: 0:01:13 lr: 0.000100 loss: 0.3326 (0.4547) labels_encoder: 0.3326 (0.4547) labels_encoder_unscaled: 0.3326 (0.4547) time: 0.1257 data: 0.0002 max mem: 1126
Epoch: [1] [ 900/1415] eta: 0:01:07 lr: 0.000100 loss: 0.3317 (0.4477) labels_encoder: 0.3317 (0.4477) labels_encoder_unscaled: 0.3317 (0.4477) time: 0.1344 data: 0.0003 max mem: 1126
Epoch: [1] [ 950/1415] eta: 0:01:00 lr: 0.000100 loss: 0.3244 (0.4418) labels_encoder: 0.3244 (0.4418) labels_encoder_unscaled: 0.3244 (0.4418) time: 0.1303 data: 0.0002 max mem: 1126
Epoch: [1] [1000/1415] eta: 0:00:54 lr: 0.000100 loss: 0.3112 (0.4357) labels_encoder: 0.3112 (0.4357) labels_encoder_unscaled: 0.3112 (0.4357) time: 0.1269 data: 0.0002 max mem: 1126
Epoch: [1] [1050/1415] eta: 0:00:47 lr: 0.000100 loss: 0.3154 (0.4301) labels_encoder: 0.3154 (0.4301) labels_encoder_unscaled: 0.3154 (0.4301) time: 0.1271 data: 0.0002 max mem: 1126
Epoch: [1] [1100/1415] eta: 0:00:41 lr: 0.000100 loss: 0.2887 (0.4246) labels_encoder: 0.2887 (0.4246) labels_encoder_unscaled: 0.2887 (0.4246) time: 0.1343 data: 0.0002 max mem: 1126
Epoch: [1] [1150/1415] eta: 0:00:34 lr: 0.000100 loss: 0.2953 (0.4188) labels_encoder: 0.2953 (0.4188) labels_encoder_unscaled: 0.2953 (0.4188) time: 0.1377 data: 0.0002 max mem: 1126
Epoch: [1] [1200/1415] eta: 0:00:27 lr: 0.000100 loss: 0.2769 (0.4137) labels_encoder: 0.2769 (0.4137) labels_encoder_unscaled: 0.2769 (0.4137) time: 0.1238 data: 0.0002 max mem: 1126
Epoch: [1] [1250/1415] eta: 0:00:21 lr: 0.000100 loss: 0.2626 (0.4082) labels_encoder: 0.2626 (0.4082) labels_encoder_unscaled: 0.2626 (0.4082) time: 0.1267 data: 0.0002 max mem: 1126
Epoch: [1] [1300/1415] eta: 0:00:14 lr: 0.000100 loss: 0.2514 (0.4023) labels_encoder: 0.2514 (0.4023) labels_encoder_unscaled: 0.2514 (0.4023) time: 0.1299 data: 0.0002 max mem: 1126
Epoch: [1] [1350/1415] eta: 0:00:08 lr: 0.000100 loss: 0.2738 (0.3975) labels_encoder: 0.2738 (0.3975) labels_encoder_unscaled: 0.2738 (0.3975) time: 0.1280 data: 0.0002 max mem: 1126
Epoch: [1] [1400/1415] eta: 0:00:01 lr: 0.000100 loss: 0.2941 (0.3933) labels_encoder: 0.2941 (0.3933) labels_encoder_unscaled: 0.2941 (0.3933) time: 0.1283 data: 0.0003 max mem: 1126
Epoch: [1] [1414/1415] eta: 0:00:00 lr: 0.000100 loss: 0.2625 (0.3920) labels_encoder: 0.2625 (0.3920) labels_encoder_unscaled: 0.2625 (0.3920) time: 0.1122 data: 0.0003 max mem: 1126
Epoch: [1] Total time: 0:03:03 (0.1297 s / it)
Averaged stats: lr: 0.000100 loss: 0.2625 (0.3920) labels_encoder: 0.2625 (0.3920) labels_encoder_unscaled: 0.2625 (0.3920)
Test: [ 0/1613] eta: 0:34:24 loss: 0.7036 (0.7036) labels_encoder: 0.7036 (0.7036) labels_encoder_unscaled: 0.7036 (0.7036) time: 1.2798 data: 1.2214 max mem: 1126
Test: [ 50/1613] eta: 0:02:02 loss: 0.2821 (0.6101) labels_encoder: 0.2821 (0.6101) labels_encoder_unscaled: 0.2821 (0.6101) time: 0.0480 data: 0.0002 max mem: 1126
Test: [ 100/1613] eta: 0:01:32 loss: 0.0814 (0.4674) labels_encoder: 0.0814 (0.4674) labels_encoder_unscaled: 0.0814 (0.4674) time: 0.0444 data: 0.0001 max mem: 1126
Test: [ 150/1613] eta: 0:01:22 loss: 0.5771 (0.4560) labels_encoder: 0.5771 (0.4560) labels_encoder_unscaled: 0.5771 (0.4560) time: 0.0509 data: 0.0002 max mem: 1126
Test: [ 200/1613] eta: 0:01:19 loss: 0.8262 (0.5358) labels_encoder: 0.8262 (0.5358) labels_encoder_unscaled: 0.8262 (0.5358) time: 0.0538 data: 0.0002 max mem: 1126
Test: [ 250/1613] eta: 0:01:15 loss: 0.4176 (0.5827) labels_encoder: 0.4176 (0.5827) labels_encoder_unscaled: 0.4176 (0.5827) time: 0.0511 data: 0.0002 max mem: 1126
Test: [ 300/1613] eta: 0:01:11 loss: 0.3778 (0.6139) labels_encoder: 0.3778 (0.6139) labels_encoder_unscaled: 0.3778 (0.6139) time: 0.0501 data: 0.0002 max mem: 1126
Test: [ 350/1613] eta: 0:01:08 loss: 0.7881 (0.6261) labels_encoder: 0.7881 (0.6261) labels_encoder_unscaled: 0.7881 (0.6261) time: 0.0522 data: 0.0002 max mem: 1126
Test: [ 400/1613] eta: 0:01:06 loss: 0.4656 (0.6831) labels_encoder: 0.4656 (0.6831) labels_encoder_unscaled: 0.4656 (0.6831) time: 0.0505 data: 0.0002 max mem: 1126
Test: [ 450/1613] eta: 0:01:03 loss: 0.5363 (0.7203) labels_encoder: 0.5363 (0.7203) labels_encoder_unscaled: 0.5363 (0.7203) time: 0.0606 data: 0.0002 max mem: 1126
Test: [ 500/1613] eta: 0:01:00 loss: 0.1750 (0.6854) labels_encoder: 0.1750 (0.6854) labels_encoder_unscaled: 0.1750 (0.6854) time: 0.0540 data: 0.0002 max mem: 1126
Test: [ 550/1613] eta: 0:00:57 loss: 0.6516 (0.7094) labels_encoder: 0.6516 (0.7094) labels_encoder_unscaled: 0.6516 (0.7094) time: 0.0497 data: 0.0002 max mem: 1126
Test: [ 600/1613] eta: 0:00:54 loss: 0.5230 (0.7553) labels_encoder: 0.5230 (0.7553) labels_encoder_unscaled: 0.5230 (0.7553) time: 0.0537 data: 0.0002 max mem: 1126
Test: [ 650/1613] eta: 0:00:51 loss: 0.5201 (0.7366) labels_encoder: 0.5201 (0.7366) labels_encoder_unscaled: 0.5201 (0.7366) time: 0.0481 data: 0.0002 max mem: 1126
Test: [ 700/1613] eta: 0:00:48 loss: 0.3401 (0.7173) labels_encoder: 0.3401 (0.7173) labels_encoder_unscaled: 0.3401 (0.7173) time: 0.0422 data: 0.0002 max mem: 1126
Test: [ 750/1613] eta: 0:00:45 loss: 0.3332 (0.7001) labels_encoder: 0.3332 (0.7001) labels_encoder_unscaled: 0.3332 (0.7001) time: 0.0482 data: 0.0008 max mem: 1126
Test: [ 800/1613] eta: 0:00:42 loss: 0.4923 (0.6967) labels_encoder: 0.4923 (0.6967) labels_encoder_unscaled: 0.4923 (0.6967) time: 0.0468 data: 0.0001 max mem: 1126
Test: [ 850/1613] eta: 0:00:39 loss: 1.1583 (0.7074) labels_encoder: 1.1583 (0.7074) labels_encoder_unscaled: 1.1583 (0.7074) time: 0.0473 data: 0.0002 max mem: 1126
Test: [ 900/1613] eta: 0:00:37 loss: 0.4400 (0.7184) labels_encoder: 0.4400 (0.7184) labels_encoder_unscaled: 0.4400 (0.7184) time: 0.0520 data: 0.0002 max mem: 1126
Test: [ 950/1613] eta: 0:00:34 loss: 0.5707 (0.7163) labels_encoder: 0.5707 (0.7163) labels_encoder_unscaled: 0.5707 (0.7163) time: 0.0453 data: 0.0002 max mem: 1126
Test: [1000/1613] eta: 0:00:31 loss: 0.3139 (0.7039) labels_encoder: 0.3139 (0.7039) labels_encoder_unscaled: 0.3139 (0.7039) time: 0.0464 data: 0.0002 max mem: 1126
Test: [1050/1613] eta: 0:00:28 loss: 0.5926 (0.6986) labels_encoder: 0.5926 (0.6986) labels_encoder_unscaled: 0.5926 (0.6986) time: 0.0486 data: 0.0002 max mem: 1126
Test: [1100/1613] eta: 0:00:26 loss: 0.3250 (0.6951) labels_encoder: 0.3250 (0.6951) labels_encoder_unscaled: 0.3250 (0.6951) time: 0.0447 data: 0.0002 max mem: 1126
Test: [1150/1613] eta: 0:00:23 loss: 0.3484 (0.6848) labels_encoder: 0.3484 (0.6848) labels_encoder_unscaled: 0.3484 (0.6848) time: 0.0464 data: 0.0002 max mem: 1126
Test: [1200/1613] eta: 0:00:20 loss: 0.4190 (0.6856) labels_encoder: 0.4190 (0.6856) labels_encoder_unscaled: 0.4190 (0.6856) time: 0.0474 data: 0.0002 max mem: 1126
Test: [1250/1613] eta: 0:00:18 loss: 0.2824 (0.6892) labels_encoder: 0.2824 (0.6892) labels_encoder_unscaled: 0.2824 (0.6892) time: 0.0454 data: 0.0002 max mem: 1126
Test: [1300/1613] eta: 0:00:15 loss: 0.2556 (0.6818) labels_encoder: 0.2556 (0.6818) labels_encoder_unscaled: 0.2556 (0.6818) time: 0.0468 data: 0.0008 max mem: 1126
Test: [1350/1613] eta: 0:00:13 loss: 0.5647 (0.6855) labels_encoder: 0.5647 (0.6855) labels_encoder_unscaled: 0.5647 (0.6855) time: 0.0421 data: 0.0003 max mem: 1126
Test: [1400/1613] eta: 0:00:10 loss: 0.6306 (0.6834) labels_encoder: 0.6306 (0.6834) labels_encoder_unscaled: 0.6306 (0.6834) time: 0.0523 data: 0.0002 max mem: 1126
Test: [1450/1613] eta: 0:00:08 loss: 0.4914 (0.6969) labels_encoder: 0.4914 (0.6969) labels_encoder_unscaled: 0.4914 (0.6969) time: 0.0536 data: 0.0002 max mem: 1126
Test: [1500/1613] eta: 0:00:05 loss: 0.5675 (0.7015) labels_encoder: 0.5675 (0.7015) labels_encoder_unscaled: 0.5675 (0.7015) time: 0.0521 data: 0.0002 max mem: 1126
Test: [1550/1613] eta: 0:00:03 loss: 0.5321 (0.6968) labels_encoder: 0.5321 (0.6968) labels_encoder_unscaled: 0.5321 (0.6968) time: 0.0521 data: 0.0002 max mem: 1126
Test: [1600/1613] eta: 0:00:00 loss: 0.5049 (0.6924) labels_encoder: 0.5049 (0.6924) labels_encoder_unscaled: 0.5049 (0.6924) time: 0.0525 data: 0.0002 max mem: 1126
Test: [1612/1613] eta: 0:00:00 loss: 0.4974 (0.6930) labels_encoder: 0.4974 (0.6930) labels_encoder_unscaled: 0.4974 (0.6930) time: 0.0394 data: 0.0001 max mem: 1126
Test: Total time: 0:01:21 (0.0507 s / it)
Averaged stats: loss: 0.4974 (0.6930) labels_encoder: 0.4974 (0.6930) labels_encoder_unscaled: 0.4974 (0.6930)
(21, 206375)
(21, 206375)
[Epoch-1] [IDU-anet] mAP: 0.5395, mcAP: 0.9732
BaseballPitch: 0.1592
BasketballDunk: 0.7345
Billiards: 0.3712
CleanAndJerk: 0.7644
CliffDiving: 0.8056
CricketBowling: 0.3687
CricketShot: 0.1674
Diving: 0.6801
FrisbeeCatch: 0.3343
GolfSwing: 0.4318
HammerThrow: 0.8429
HighJump: 0.5021
JavelinThrow: 0.6854
LongJump: 0.7859
PoleVault: 0.8577
Shotput: 0.6296
SoccerPenalty: 0.3331
TennisSwing: 0.4743
ThrowDiscus: 0.5693
VolleyballSpiking: 0.2923
Epoch: [2] [ 0/1415] eta: 0:39:36 lr: 0.000010 loss: 0.1776 (0.1776) labels_encoder: 0.1776 (0.1776) labels_encoder_unscaled: 0.1776 (0.1776) time: 1.6795 data: 1.4977 max mem: 1126
Epoch: [2] [ 50/1415] eta: 0:03:38 lr: 0.000010 loss: 0.1981 (0.2305) labels_encoder: 0.1981 (0.2305) labels_encoder_unscaled: 0.1981 (0.2305) time: 0.1264 data: 0.0002 max mem: 1126
Epoch: [2] [ 100/1415] eta: 0:03:08 lr: 0.000010 loss: 0.2200 (0.2254) labels_encoder: 0.2200 (0.2254) labels_encoder_unscaled: 0.2200 (0.2254) time: 0.1287 data: 0.0002 max mem: 1126
Epoch: [2] [ 150/1415] eta: 0:02:57 lr: 0.000010 loss: 0.1859 (0.2208) labels_encoder: 0.1859 (0.2208) labels_encoder_unscaled: 0.1859 (0.2208) time: 0.1364 data: 0.0002 max mem: 1126
Epoch: [2] [ 200/1415] eta: 0:02:47 lr: 0.000010 loss: 0.2003 (0.2154) labels_encoder: 0.2003 (0.2154) labels_encoder_unscaled: 0.2003 (0.2154) time: 0.1266 data: 0.0002 max mem: 1126
Epoch: [2] [ 250/1415] eta: 0:02:39 lr: 0.000010 loss: 0.1956 (0.2152) labels_encoder: 0.1956 (0.2152) labels_encoder_unscaled: 0.1956 (0.2152) time: 0.1378 data: 0.0002 max mem: 1126
Epoch: [2] [ 300/1415] eta: 0:02:31 lr: 0.000010 loss: 0.1901 (0.2144) labels_encoder: 0.1901 (0.2144) labels_encoder_unscaled: 0.1901 (0.2144) time: 0.1325 data: 0.0002 max mem: 1126
Epoch: [2] [ 350/1415] eta: 0:02:23 lr: 0.000010 loss: 0.2061 (0.2136) labels_encoder: 0.2061 (0.2136) labels_encoder_unscaled: 0.2061 (0.2136) time: 0.1216 data: 0.0001 max mem: 1126
Epoch: [2] [ 400/1415] eta: 0:02:15 lr: 0.000010 loss: 0.1833 (0.2124) labels_encoder: 0.1833 (0.2124) labels_encoder_unscaled: 0.1833 (0.2124) time: 0.1217 data: 0.0002 max mem: 1126
Epoch: [2] [ 450/1415] eta: 0:02:08 lr: 0.000010 loss: 0.1891 (0.2116) labels_encoder: 0.1891 (0.2116) labels_encoder_unscaled: 0.1891 (0.2116) time: 0.1275 data: 0.0002 max mem: 1126
Epoch: [2] [ 500/1415] eta: 0:02:01 lr: 0.000010 loss: 0.1872 (0.2108) labels_encoder: 0.1872 (0.2108) labels_encoder_unscaled: 0.1872 (0.2108) time: 0.1333 data: 0.0002 max mem: 1126
Epoch: [2] [ 550/1415] eta: 0:01:54 lr: 0.000010 loss: 0.2009 (0.2113) labels_encoder: 0.2009 (0.2113) labels_encoder_unscaled: 0.2009 (0.2113) time: 0.1337 data: 0.0002 max mem: 1126
Epoch: [2] [ 600/1415] eta: 0:01:47 lr: 0.000010 loss: 0.1945 (0.2108) labels_encoder: 0.1945 (0.2108) labels_encoder_unscaled: 0.1945 (0.2108) time: 0.1306 data: 0.0002 max mem: 1126
Epoch: [2] [ 650/1415] eta: 0:01:41 lr: 0.000010 loss: 0.2040 (0.2101) labels_encoder: 0.2040 (0.2101) labels_encoder_unscaled: 0.2040 (0.2101) time: 0.1335 data: 0.0002 max mem: 1126
Epoch: [2] [ 700/1415] eta: 0:01:34 lr: 0.000010 loss: 0.2064 (0.2091) labels_encoder: 0.2064 (0.2091) labels_encoder_unscaled: 0.2064 (0.2091) time: 0.1267 data: 0.0002 max mem: 1126
Epoch: [2] [ 750/1415] eta: 0:01:27 lr: 0.000010 loss: 0.2104 (0.2085) labels_encoder: 0.2104 (0.2085) labels_encoder_unscaled: 0.2104 (0.2085) time: 0.1303 data: 0.0002 max mem: 1126
Epoch: [2] [ 800/1415] eta: 0:01:21 lr: 0.000010 loss: 0.2016 (0.2075) labels_encoder: 0.2016 (0.2075) labels_encoder_unscaled: 0.2016 (0.2075) time: 0.1347 data: 0.0011 max mem: 1126
Epoch: [2] [ 850/1415] eta: 0:01:14 lr: 0.000010 loss: 0.1935 (0.2078) labels_encoder: 0.1935 (0.2078) labels_encoder_unscaled: 0.1935 (0.2078) time: 0.1301 data: 0.0002 max mem: 1126
Epoch: [2] [ 900/1415] eta: 0:01:07 lr: 0.000010 loss: 0.2001 (0.2075) labels_encoder: 0.2001 (0.2075) labels_encoder_unscaled: 0.2001 (0.2075) time: 0.1253 data: 0.0002 max mem: 1126
Epoch: [2] [ 950/1415] eta: 0:01:00 lr: 0.000010 loss: 0.1750 (0.2063) labels_encoder: 0.1750 (0.2063) labels_encoder_unscaled: 0.1750 (0.2063) time: 0.1279 data: 0.0002 max mem: 1126
Epoch: [2] [1000/1415] eta: 0:00:54 lr: 0.000010 loss: 0.1832 (0.2052) labels_encoder: 0.1832 (0.2052) labels_encoder_unscaled: 0.1832 (0.2052) time: 0.1173 data: 0.0002 max mem: 1126
Epoch: [2] [1050/1415] eta: 0:00:47 lr: 0.000010 loss: 0.1976 (0.2047) labels_encoder: 0.1976 (0.2047) labels_encoder_unscaled: 0.1976 (0.2047) time: 0.1258 data: 0.0002 max mem: 1126
Epoch: [2] [1100/1415] eta: 0:00:40 lr: 0.000010 loss: 0.1869 (0.2040) labels_encoder: 0.1869 (0.2040) labels_encoder_unscaled: 0.1869 (0.2040) time: 0.1191 data: 0.0002 max mem: 1126
Epoch: [2] [1150/1415] eta: 0:00:34 lr: 0.000010 loss: 0.1721 (0.2032) labels_encoder: 0.1721 (0.2032) labels_encoder_unscaled: 0.1721 (0.2032) time: 0.1357 data: 0.0002 max mem: 1126
Epoch: [2] [1200/1415] eta: 0:00:27 lr: 0.000010 loss: 0.1973 (0.2033) labels_encoder: 0.1973 (0.2033) labels_encoder_unscaled: 0.1973 (0.2033) time: 0.1337 data: 0.0002 max mem: 1126
Epoch: [2] [1250/1415] eta: 0:00:21 lr: 0.000010 loss: 0.1673 (0.2026) labels_encoder: 0.1673 (0.2026) labels_encoder_unscaled: 0.1673 (0.2026) time: 0.1232 data: 0.0002 max mem: 1126
Epoch: [2] [1300/1415] eta: 0:00:14 lr: 0.000010 loss: 0.1855 (0.2025) labels_encoder: 0.1855 (0.2025) labels_encoder_unscaled: 0.1855 (0.2025) time: 0.1242 data: 0.0002 max mem: 1126
Epoch: [2] [1350/1415] eta: 0:00:08 lr: 0.000010 loss: 0.1778 (0.2020) labels_encoder: 0.1778 (0.2020) labels_encoder_unscaled: 0.1778 (0.2020) time: 0.1251 data: 0.0002 max mem: 1126
Epoch: [2] [1400/1415] eta: 0:00:01 lr: 0.000010 loss: 0.1781 (0.2018) labels_encoder: 0.1781 (0.2018) labels_encoder_unscaled: 0.1781 (0.2018) time: 0.1242 data: 0.0003 max mem: 1126
Epoch: [2] [1414/1415] eta: 0:00:00 lr: 0.000010 loss: 0.1882 (0.2017) labels_encoder: 0.1882 (0.2017) labels_encoder_unscaled: 0.1882 (0.2017) time: 0.1111 data: 0.0002 max mem: 1126
Epoch: [2] Total time: 0:03:02 (0.1291 s / it)
Averaged stats: lr: 0.000010 loss: 0.1882 (0.2017) labels_encoder: 0.1882 (0.2017) labels_encoder_unscaled: 0.1882 (0.2017)
Test: [ 0/1613] eta: 0:42:38 loss: 0.2641 (0.2641) labels_encoder: 0.2641 (0.2641) labels_encoder_unscaled: 0.2641 (0.2641) time: 1.5863 data: 1.5394 max mem: 1126
Test: [ 50/1613] eta: 0:02:09 loss: 0.2686 (0.6658) labels_encoder: 0.2686 (0.6658) labels_encoder_unscaled: 0.2686 (0.6658) time: 0.0533 data: 0.0002 max mem: 1126
Test: [ 100/1613] eta: 0:01:44 loss: 0.1630 (0.5085) labels_encoder: 0.1630 (0.5085) labels_encoder_unscaled: 0.1630 (0.5085) time: 0.0513 data: 0.0002 max mem: 1126
Test: [ 150/1613] eta: 0:01:32 loss: 0.3173 (0.4673) labels_encoder: 0.3173 (0.4673) labels_encoder_unscaled: 0.3173 (0.4673) time: 0.0507 data: 0.0002 max mem: 1126
Test: [ 200/1613] eta: 0:01:25 loss: 0.7345 (0.5427) labels_encoder: 0.7345 (0.5427) labels_encoder_unscaled: 0.7345 (0.5427) time: 0.0549 data: 0.0002 max mem: 1126
Test: [ 250/1613] eta: 0:01:20 loss: 0.3135 (0.5773) labels_encoder: 0.3135 (0.5773) labels_encoder_unscaled: 0.3135 (0.5773) time: 0.0509 data: 0.0002 max mem: 1126
Test: [ 300/1613] eta: 0:01:15 loss: 0.3291 (0.6062) labels_encoder: 0.3291 (0.6062) labels_encoder_unscaled: 0.3291 (0.6062) time: 0.0505 data: 0.0002 max mem: 1126
Test: [ 350/1613] eta: 0:01:10 loss: 0.7516 (0.6106) labels_encoder: 0.7516 (0.6106) labels_encoder_unscaled: 0.7516 (0.6106) time: 0.0450 data: 0.0002 max mem: 1126
Test: [ 400/1613] eta: 0:01:06 loss: 0.3787 (0.6799) labels_encoder: 0.3787 (0.6799) labels_encoder_unscaled: 0.3787 (0.6799) time: 0.0511 data: 0.0002 max mem: 1126
Test: [ 450/1613] eta: 0:01:03 loss: 0.5011 (0.7188) labels_encoder: 0.5011 (0.7188) labels_encoder_unscaled: 0.5011 (0.7188) time: 0.0552 data: 0.0002 max mem: 1126
Test: [ 500/1613] eta: 0:01:00 loss: 0.2081 (0.6854) labels_encoder: 0.2081 (0.6854) labels_encoder_unscaled: 0.2081 (0.6854) time: 0.0514 data: 0.0002 max mem: 1126
Test: [ 550/1613] eta: 0:00:57 loss: 0.3286 (0.6874) labels_encoder: 0.3286 (0.6874) labels_encoder_unscaled: 0.3286 (0.6874) time: 0.0501 data: 0.0002 max mem: 1126
Test: [ 600/1613] eta: 0:00:54 loss: 0.8148 (0.7305) labels_encoder: 0.8148 (0.7305) labels_encoder_unscaled: 0.8148 (0.7305) time: 0.0493 data: 0.0002 max mem: 1126
Test: [ 650/1613] eta: 0:00:51 loss: 0.5479 (0.7141) labels_encoder: 0.5479 (0.7141) labels_encoder_unscaled: 0.5479 (0.7141) time: 0.0453 data: 0.0002 max mem: 1126
Test: [ 700/1613] eta: 0:00:48 loss: 0.3524 (0.6999) labels_encoder: 0.3524 (0.6999) labels_encoder_unscaled: 0.3524 (0.6999) time: 0.0468 data: 0.0002 max mem: 1126
Test: [ 750/1613] eta: 0:00:45 loss: 0.2709 (0.6815) labels_encoder: 0.2709 (0.6815) labels_encoder_unscaled: 0.2709 (0.6815) time: 0.0444 data: 0.0002 max mem: 1126
Test: [ 800/1613] eta: 0:00:42 loss: 0.5879 (0.6820) labels_encoder: 0.5879 (0.6820) labels_encoder_unscaled: 0.5879 (0.6820) time: 0.0464 data: 0.0002 max mem: 1126
Test: [ 850/1613] eta: 0:00:39 loss: 0.9555 (0.6842) labels_encoder: 0.9555 (0.6842) labels_encoder_unscaled: 0.9555 (0.6842) time: 0.0507 data: 0.0002 max mem: 1126
Test: [ 900/1613] eta: 0:00:36 loss: 0.4367 (0.6924) labels_encoder: 0.4367 (0.6924) labels_encoder_unscaled: 0.4367 (0.6924) time: 0.0511 data: 0.0002 max mem: 1126
Test: [ 950/1613] eta: 0:00:34 loss: 0.4359 (0.6851) labels_encoder: 0.4359 (0.6851) labels_encoder_unscaled: 0.4359 (0.6851) time: 0.0545 data: 0.0002 max mem: 1126
Test: [1000/1613] eta: 0:00:31 loss: 0.3135 (0.6738) labels_encoder: 0.3135 (0.6738) labels_encoder_unscaled: 0.3135 (0.6738) time: 0.0556 data: 0.0002 max mem: 1126
Test: [1050/1613] eta: 0:00:29 loss: 0.5504 (0.6689) labels_encoder: 0.5504 (0.6689) labels_encoder_unscaled: 0.5504 (0.6689) time: 0.0494 data: 0.0002 max mem: 1126
Test: [1100/1613] eta: 0:00:26 loss: 0.4516 (0.6719) labels_encoder: 0.4516 (0.6719) labels_encoder_unscaled: 0.4516 (0.6719) time: 0.0433 data: 0.0002 max mem: 1126
Test: [1150/1613] eta: 0:00:23 loss: 0.4813 (0.6638) labels_encoder: 0.4813 (0.6638) labels_encoder_unscaled: 0.4813 (0.6638) time: 0.0556 data: 0.0002 max mem: 1126
Test: [1200/1613] eta: 0:00:21 loss: 0.3616 (0.6660) labels_encoder: 0.3616 (0.6660) labels_encoder_unscaled: 0.3616 (0.6660) time: 0.0487 data: 0.0002 max mem: 1126
Test: [1250/1613] eta: 0:00:18 loss: 0.3025 (0.6694) labels_encoder: 0.3025 (0.6694) labels_encoder_unscaled: 0.3025 (0.6694) time: 0.0481 data: 0.0002 max mem: 1126
Test: [1300/1613] eta: 0:00:15 loss: 0.2629 (0.6664) labels_encoder: 0.2629 (0.6664) labels_encoder_unscaled: 0.2629 (0.6664) time: 0.0467 data: 0.0002 max mem: 1126
Test: [1350/1613] eta: 0:00:13 loss: 0.5850 (0.6757) labels_encoder: 0.5850 (0.6757) labels_encoder_unscaled: 0.5850 (0.6757) time: 0.0426 data: 0.0002 max mem: 1126
Test: [1400/1613] eta: 0:00:10 loss: 0.6002 (0.6742) labels_encoder: 0.6002 (0.6742) labels_encoder_unscaled: 0.6002 (0.6742) time: 0.0445 data: 0.0001 max mem: 1126
Test: [1450/1613] eta: 0:00:08 loss: 0.2866 (0.6847) labels_encoder: 0.2866 (0.6847) labels_encoder_unscaled: 0.2866 (0.6847) time: 0.0423 data: 0.0002 max mem: 1126
Test: [1500/1613] eta: 0:00:05 loss: 0.4518 (0.6925) labels_encoder: 0.4518 (0.6925) labels_encoder_unscaled: 0.4518 (0.6925) time: 0.0433 data: 0.0002 max mem: 1126
Test: [1550/1613] eta: 0:00:03 loss: 0.5131 (0.6912) labels_encoder: 0.5131 (0.6912) labels_encoder_unscaled: 0.5131 (0.6912) time: 0.0436 data: 0.0002 max mem: 1126
Test: [1600/1613] eta: 0:00:00 loss: 0.5906 (0.6873) labels_encoder: 0.5906 (0.6873) labels_encoder_unscaled: 0.5906 (0.6873) time: 0.0447 data: 0.0001 max mem: 1126
Test: [1612/1613] eta: 0:00:00 loss: 0.5006 (0.6871) labels_encoder: 0.5006 (0.6871) labels_encoder_unscaled: 0.5006 (0.6871) time: 0.0336 data: 0.0001 max mem: 1126
Test: Total time: 0:01:20 (0.0498 s / it)
Averaged stats: loss: 0.5006 (0.6871) labels_encoder: 0.5006 (0.6871) labels_encoder_unscaled: 0.5006 (0.6871)
(21, 206375)
(21, 206375)
[Epoch-2] [IDU-anet] mAP: 0.5609, mcAP: 0.9733
BaseballPitch: 0.1882
BasketballDunk: 0.7426
Billiards: 0.3984
CleanAndJerk: 0.7411
CliffDiving: 0.8200
CricketBowling: 0.3838
CricketShot: 0.1911
Diving: 0.6715
FrisbeeCatch: 0.4238
GolfSwing: 0.4757
HammerThrow: 0.8451
HighJump: 0.5324
JavelinThrow: 0.6787
LongJump: 0.8001
PoleVault: 0.8476
Shotput: 0.6458
SoccerPenalty: 0.4004
TennisSwing: 0.4960
ThrowDiscus: 0.6434
VolleyballSpiking: 0.2932
Epoch: [3] [ 0/1415] eta: 0:36:40 lr: 0.000001 loss: 0.2069 (0.2069) labels_encoder: 0.2069 (0.2069) labels_encoder_unscaled: 0.2069 (0.2069) time: 1.5549 data: 1.3810 max mem: 1126
Epoch: [3] [ 50/1415] eta: 0:03:32 lr: 0.000001 loss: 0.1668 (0.1827) labels_encoder: 0.1668 (0.1827) labels_encoder_unscaled: 0.1668 (0.1827) time: 0.1266 data: 0.0002 max mem: 1126
Epoch: [3] [ 100/1415] eta: 0:03:05 lr: 0.000001 loss: 0.1870 (0.1838) labels_encoder: 0.1870 (0.1838) labels_encoder_unscaled: 0.1870 (0.1838) time: 0.1237 data: 0.0002 max mem: 1126
Epoch: [3] [ 150/1415] eta: 0:02:53 lr: 0.000001 loss: 0.1912 (0.1842) labels_encoder: 0.1912 (0.1842) labels_encoder_unscaled: 0.1912 (0.1842) time: 0.1338 data: 0.0002 max mem: 1126
Epoch: [3] [ 200/1415] eta: 0:02:45 lr: 0.000001 loss: 0.1828 (0.1862) labels_encoder: 0.1828 (0.1862) labels_encoder_unscaled: 0.1828 (0.1862) time: 0.1391 data: 0.0002 max mem: 1126
Epoch: [3] [ 250/1415] eta: 0:02:38 lr: 0.000001 loss: 0.1734 (0.1859) labels_encoder: 0.1734 (0.1859) labels_encoder_unscaled: 0.1734 (0.1859) time: 0.1394 data: 0.0002 max mem: 1126
Epoch: [3] [ 300/1415] eta: 0:02:31 lr: 0.000001 loss: 0.1714 (0.1840) labels_encoder: 0.1714 (0.1840) labels_encoder_unscaled: 0.1714 (0.1840) time: 0.1320 data: 0.0003 max mem: 1126
Epoch: [3] [ 350/1415] eta: 0:02:24 lr: 0.000001 loss: 0.1665 (0.1839) labels_encoder: 0.1665 (0.1839) labels_encoder_unscaled: 0.1665 (0.1839) time: 0.1322 data: 0.0002 max mem: 1126
Epoch: [3] [ 400/1415] eta: 0:02:17 lr: 0.000001 loss: 0.1649 (0.1827) labels_encoder: 0.1649 (0.1827) labels_encoder_unscaled: 0.1649 (0.1827) time: 0.1375 data: 0.0004 max mem: 1126
Epoch: [3] [ 450/1415] eta: 0:02:10 lr: 0.000001 loss: 0.1882 (0.1827) labels_encoder: 0.1882 (0.1827) labels_encoder_unscaled: 0.1882 (0.1827) time: 0.1286 data: 0.0002 max mem: 1126
Epoch: [3] [ 500/1415] eta: 0:02:03 lr: 0.000001 loss: 0.1916 (0.1835) labels_encoder: 0.1916 (0.1835) labels_encoder_unscaled: 0.1916 (0.1835) time: 0.1363 data: 0.0002 max mem: 1126
Epoch: [3] [ 550/1415] eta: 0:01:56 lr: 0.000001 loss: 0.1647 (0.1828) labels_encoder: 0.1647 (0.1828) labels_encoder_unscaled: 0.1647 (0.1828) time: 0.1371 data: 0.0002 max mem: 1126
Epoch: [3] [ 600/1415] eta: 0:01:50 lr: 0.000001 loss: 0.1739 (0.1829) labels_encoder: 0.1739 (0.1829) labels_encoder_unscaled: 0.1739 (0.1829) time: 0.1353 data: 0.0003 max mem: 1126
Epoch: [3] [ 650/1415] eta: 0:01:43 lr: 0.000001 loss: 0.1796 (0.1834) labels_encoder: 0.1796 (0.1834) labels_encoder_unscaled: 0.1796 (0.1834) time: 0.1368 data: 0.0002 max mem: 1126
Epoch: [3] [ 700/1415] eta: 0:01:36 lr: 0.000001 loss: 0.1647 (0.1831) labels_encoder: 0.1647 (0.1831) labels_encoder_unscaled: 0.1647 (0.1831) time: 0.1385 data: 0.0003 max mem: 1126
Epoch: [3] [ 750/1415] eta: 0:01:29 lr: 0.000001 loss: 0.1873 (0.1834) labels_encoder: 0.1873 (0.1834) labels_encoder_unscaled: 0.1873 (0.1834) time: 0.1344 data: 0.0002 max mem: 1126
Epoch: [3] [ 800/1415] eta: 0:01:22 lr: 0.000001 loss: 0.1612 (0.1829) labels_encoder: 0.1612 (0.1829) labels_encoder_unscaled: 0.1612 (0.1829) time: 0.1338 data: 0.0002 max mem: 1126
Epoch: [3] [ 850/1415] eta: 0:01:16 lr: 0.000001 loss: 0.1781 (0.1828) labels_encoder: 0.1781 (0.1828) labels_encoder_unscaled: 0.1781 (0.1828) time: 0.1321 data: 0.0002 max mem: 1126
Epoch: [3] [ 900/1415] eta: 0:01:09 lr: 0.000001 loss: 0.1674 (0.1829) labels_encoder: 0.1674 (0.1829) labels_encoder_unscaled: 0.1674 (0.1829) time: 0.1354 data: 0.0002 max mem: 1126
Epoch: [3] [ 950/1415] eta: 0:01:02 lr: 0.000001 loss: 0.1842 (0.1830) labels_encoder: 0.1842 (0.1830) labels_encoder_unscaled: 0.1842 (0.1830) time: 0.1332 data: 0.0002 max mem: 1126
Epoch: [3] [1000/1415] eta: 0:00:55 lr: 0.000001 loss: 0.1666 (0.1826) labels_encoder: 0.1666 (0.1826) labels_encoder_unscaled: 0.1666 (0.1826) time: 0.1281 data: 0.0002 max mem: 1126
Epoch: [3] [1050/1415] eta: 0:00:48 lr: 0.000001 loss: 0.1626 (0.1821) labels_encoder: 0.1626 (0.1821) labels_encoder_unscaled: 0.1626 (0.1821) time: 0.1259 data: 0.0002 max mem: 1126
Epoch: [3] [1100/1415] eta: 0:00:42 lr: 0.000001 loss: 0.1744 (0.1820) labels_encoder: 0.1744 (0.1820) labels_encoder_unscaled: 0.1744 (0.1820) time: 0.1331 data: 0.0002 max mem: 1126
Epoch: [3] [1150/1415] eta: 0:00:35 lr: 0.000001 loss: 0.1902 (0.1824) labels_encoder: 0.1902 (0.1824) labels_encoder_unscaled: 0.1902 (0.1824) time: 0.1352 data: 0.0002 max mem: 1126
Epoch: [3] [1200/1415] eta: 0:00:28 lr: 0.000001 loss: 0.1679 (0.1823) labels_encoder: 0.1679 (0.1823) labels_encoder_unscaled: 0.1679 (0.1823) time: 0.1365 data: 0.0012 max mem: 1126
Epoch: [3] [1250/1415] eta: 0:00:22 lr: 0.000001 loss: 0.1800 (0.1822) labels_encoder: 0.1800 (0.1822) labels_encoder_unscaled: 0.1800 (0.1822) time: 0.1307 data: 0.0002 max mem: 1126
Epoch: [3] [1300/1415] eta: 0:00:15 lr: 0.000001 loss: 0.1844 (0.1825) labels_encoder: 0.1844 (0.1825) labels_encoder_unscaled: 0.1844 (0.1825) time: 0.1350 data: 0.0002 max mem: 1126
Epoch: [3] [1350/1415] eta: 0:00:08 lr: 0.000001 loss: 0.1660 (0.1823) labels_encoder: 0.1660 (0.1823) labels_encoder_unscaled: 0.1660 (0.1823) time: 0.1328 data: 0.0002 max mem: 1126
Epoch: [3] [1400/1415] eta: 0:00:02 lr: 0.000001 loss: 0.1678 (0.1821) labels_encoder: 0.1678 (0.1821) labels_encoder_unscaled: 0.1678 (0.1821) time: 0.1363 data: 0.0004 max mem: 1126
Epoch: [3] [1414/1415] eta: 0:00:00 lr: 0.000001 loss: 0.1646 (0.1819) labels_encoder: 0.1646 (0.1819) labels_encoder_unscaled: 0.1646 (0.1819) time: 0.1200 data: 0.0003 max mem: 1126
Epoch: [3] Total time: 0:03:09 (0.1341 s / it)
Averaged stats: lr: 0.000001 loss: 0.1646 (0.1819) labels_encoder: 0.1646 (0.1819) labels_encoder_unscaled: 0.1646 (0.1819)
Test: [ 0/1613] eta: 0:37:25 loss: 0.4758 (0.4758) labels_encoder: 0.4758 (0.4758) labels_encoder_unscaled: 0.4758 (0.4758) time: 1.3920 data: 1.3256 max mem: 1126
Test: [ 50/1613] eta: 0:02:22 loss: 0.2733 (0.6451) labels_encoder: 0.2733 (0.6451) labels_encoder_unscaled: 0.2733 (0.6451) time: 0.0578 data: 0.0002 max mem: 1126
Test: [ 100/1613] eta: 0:01:51 loss: 0.1289 (0.4846) labels_encoder: 0.1289 (0.4846) labels_encoder_unscaled: 0.1289 (0.4846) time: 0.0572 data: 0.0002 max mem: 1126
Test: [ 150/1613] eta: 0:01:39 loss: 0.3502 (0.4477) labels_encoder: 0.3502 (0.4477) labels_encoder_unscaled: 0.3502 (0.4477) time: 0.0554 data: 0.0002 max mem: 1126
Test: [ 200/1613] eta: 0:01:30 loss: 0.7864 (0.5255) labels_encoder: 0.7864 (0.5255) labels_encoder_unscaled: 0.7864 (0.5255) time: 0.0478 data: 0.0001 max mem: 1126
Test: [ 250/1613] eta: 0:01:25 loss: 0.3204 (0.5637) labels_encoder: 0.3204 (0.5637) labels_encoder_unscaled: 0.3204 (0.5637) time: 0.0575 data: 0.0002 max mem: 1126
Test: [ 300/1613] eta: 0:01:20 loss: 0.3023 (0.5889) labels_encoder: 0.3023 (0.5889) labels_encoder_unscaled: 0.3023 (0.5889) time: 0.0570 data: 0.0002 max mem: 1126
Test: [ 350/1613] eta: 0:01:17 loss: 0.8304 (0.6018) labels_encoder: 0.8304 (0.6018) labels_encoder_unscaled: 0.8304 (0.6018) time: 0.0573 data: 0.0002 max mem: 1126
Test: [ 400/1613] eta: 0:01:13 loss: 0.4089 (0.6754) labels_encoder: 0.4089 (0.6754) labels_encoder_unscaled: 0.4089 (0.6754) time: 0.0593 data: 0.0002 max mem: 1126
Test: [ 450/1613] eta: 0:01:09 loss: 0.4920 (0.7200) labels_encoder: 0.4920 (0.7200) labels_encoder_unscaled: 0.4920 (0.7200) time: 0.0480 data: 0.0002 max mem: 1126
Test: [ 500/1613] eta: 0:01:05 loss: 0.1920 (0.6858) labels_encoder: 0.1920 (0.6858) labels_encoder_unscaled: 0.1920 (0.6858) time: 0.0497 data: 0.0002 max mem: 1126
Test: [ 550/1613] eta: 0:01:01 loss: 0.3687 (0.6894) labels_encoder: 0.3687 (0.6894) labels_encoder_unscaled: 0.3687 (0.6894) time: 0.0548 data: 0.0002 max mem: 1126
Test: [ 600/1613] eta: 0:00:58 loss: 0.7621 (0.7225) labels_encoder: 0.7621 (0.7225) labels_encoder_unscaled: 0.7621 (0.7225) time: 0.0557 data: 0.0002 max mem: 1126
Test: [ 650/1613] eta: 0:00:55 loss: 0.5970 (0.7079) labels_encoder: 0.5970 (0.7079) labels_encoder_unscaled: 0.5970 (0.7079) time: 0.0558 data: 0.0002 max mem: 1126
Test: [ 700/1613] eta: 0:00:52 loss: 0.3827 (0.6929) labels_encoder: 0.3827 (0.6929) labels_encoder_unscaled: 0.3827 (0.6929) time: 0.0585 data: 0.0002 max mem: 1126
Test: [ 750/1613] eta: 0:00:49 loss: 0.3867 (0.6773) labels_encoder: 0.3867 (0.6773) labels_encoder_unscaled: 0.3867 (0.6773) time: 0.0537 data: 0.0002 max mem: 1126
Test: [ 800/1613] eta: 0:00:46 loss: 0.5131 (0.6765) labels_encoder: 0.5131 (0.6765) labels_encoder_unscaled: 0.5131 (0.6765) time: 0.0568 data: 0.0002 max mem: 1126
Test: [ 850/1613] eta: 0:00:43 loss: 0.9229 (0.6799) labels_encoder: 0.9229 (0.6799) labels_encoder_unscaled: 0.9229 (0.6799) time: 0.0583 data: 0.0002 max mem: 1126
Test: [ 900/1613] eta: 0:00:40 loss: 0.3694 (0.6920) labels_encoder: 0.3694 (0.6920) labels_encoder_unscaled: 0.3694 (0.6920) time: 0.0520 data: 0.0002 max mem: 1126
Test: [ 950/1613] eta: 0:00:37 loss: 0.4507 (0.6852) labels_encoder: 0.4507 (0.6852) labels_encoder_unscaled: 0.4507 (0.6852) time: 0.0455 data: 0.0002 max mem: 1126
Test: [1000/1613] eta: 0:00:34 loss: 0.2803 (0.6728) labels_encoder: 0.2803 (0.6728) labels_encoder_unscaled: 0.2803 (0.6728) time: 0.0522 data: 0.0002 max mem: 1126
Test: [1050/1613] eta: 0:00:31 loss: 0.5133 (0.6680) labels_encoder: 0.5133 (0.6680) labels_encoder_unscaled: 0.5133 (0.6680) time: 0.0559 data: 0.0002 max mem: 1126
Test: [1100/1613] eta: 0:00:29 loss: 0.3837 (0.6702) labels_encoder: 0.3837 (0.6702) labels_encoder_unscaled: 0.3837 (0.6702) time: 0.0545 data: 0.0002 max mem: 1126
Test: [1150/1613] eta: 0:00:26 loss: 0.5092 (0.6623) labels_encoder: 0.5092 (0.6623) labels_encoder_unscaled: 0.5092 (0.6623) time: 0.0543 data: 0.0002 max mem: 1126
Test: [1200/1613] eta: 0:00:23 loss: 0.3418 (0.6654) labels_encoder: 0.3418 (0.6654) labels_encoder_unscaled: 0.3418 (0.6654) time: 0.0531 data: 0.0002 max mem: 1126
Test: [1250/1613] eta: 0:00:20 loss: 0.2539 (0.6663) labels_encoder: 0.2539 (0.6663) labels_encoder_unscaled: 0.2539 (0.6663) time: 0.0536 data: 0.0002 max mem: 1126
Test: [1300/1613] eta: 0:00:17 loss: 0.2319 (0.6618) labels_encoder: 0.2319 (0.6618) labels_encoder_unscaled: 0.2319 (0.6618) time: 0.0603 data: 0.0002 max mem: 1126
Test: [1350/1613] eta: 0:00:14 loss: 0.5589 (0.6712) labels_encoder: 0.5589 (0.6712) labels_encoder_unscaled: 0.5589 (0.6712) time: 0.0580 data: 0.0002 max mem: 1126
Test: [1400/1613] eta: 0:00:11 loss: 0.6078 (0.6700) labels_encoder: 0.6078 (0.6700) labels_encoder_unscaled: 0.6078 (0.6700) time: 0.0528 data: 0.0002 max mem: 1126
Test: [1450/1613] eta: 0:00:09 loss: 0.2939 (0.6804) labels_encoder: 0.2939 (0.6804) labels_encoder_unscaled: 0.2939 (0.6804) time: 0.0432 data: 0.0002 max mem: 1126
Test: [1500/1613] eta: 0:00:06 loss: 0.5048 (0.6891) labels_encoder: 0.5048 (0.6891) labels_encoder_unscaled: 0.5048 (0.6891) time: 0.0608 data: 0.0002 max mem: 1126
Test: [1550/1613] eta: 0:00:03 loss: 0.5573 (0.6880) labels_encoder: 0.5573 (0.6880) labels_encoder_unscaled: 0.5573 (0.6880) time: 0.0484 data: 0.0009 max mem: 1126
Test: [1600/1613] eta: 0:00:00 loss: 0.5848 (0.6840) labels_encoder: 0.5848 (0.6840) labels_encoder_unscaled: 0.5848 (0.6840) time: 0.0513 data: 0.0002 max mem: 1126
Test: [1612/1613] eta: 0:00:00 loss: 0.5848 (0.6840) labels_encoder: 0.5848 (0.6840) labels_encoder_unscaled: 0.5848 (0.6840) time: 0.0382 data: 0.0001 max mem: 1126
Test: Total time: 0:01:29 (0.0556 s / it)
Averaged stats: loss: 0.5848 (0.6840) labels_encoder: 0.5848 (0.6840) labels_encoder_unscaled: 0.5848 (0.6840)
(21, 206375)
(21, 206375)
[Epoch-3] [IDU-anet] mAP: 0.5601, mcAP: 0.9735
BaseballPitch: 0.1837
BasketballDunk: 0.7412
Billiards: 0.4058
CleanAndJerk: 0.7526
CliffDiving: 0.8198
CricketBowling: 0.3886
CricketShot: 0.1702
Diving: 0.6783
FrisbeeCatch: 0.3713
GolfSwing: 0.5069
HammerThrow: 0.8468
HighJump: 0.5469
JavelinThrow: 0.6878
LongJump: 0.7944
PoleVault: 0.8448
Shotput: 0.6546
SoccerPenalty: 0.3798
TennisSwing: 0.5050
ThrowDiscus: 0.6260
VolleyballSpiking: 0.2971
Epoch: [4] [ 0/1415] eta: 0:40:07 lr: 0.000000 loss: 0.1625 (0.1625) labels_encoder: 0.1625 (0.1625) labels_encoder_unscaled: 0.1625 (0.1625) time: 1.7012 data: 1.4968 max mem: 1126
Epoch: [4] [ 50/1415] eta: 0:03:44 lr: 0.000000 loss: 0.1891 (0.1860) labels_encoder: 0.1891 (0.1860) labels_encoder_unscaled: 0.1891 (0.1860) time: 0.1306 data: 0.0002 max mem: 1126
Epoch: [4] [ 100/1415] eta: 0:03:17 lr: 0.000000 loss: 0.1781 (0.1839) labels_encoder: 0.1781 (0.1839) labels_encoder_unscaled: 0.1781 (0.1839) time: 0.1336 data: 0.0002 max mem: 1126
Epoch: [4] [ 150/1415] eta: 0:03:04 lr: 0.000000 loss: 0.1721 (0.1827) labels_encoder: 0.1721 (0.1827) labels_encoder_unscaled: 0.1721 (0.1827) time: 0.1312 data: 0.0002 max mem: 1126
Epoch: [4] [ 200/1415] eta: 0:02:53 lr: 0.000000 loss: 0.1704 (0.1836) labels_encoder: 0.1704 (0.1836) labels_encoder_unscaled: 0.1704 (0.1836) time: 0.1336 data: 0.0002 max mem: 1126
Epoch: [4] [ 250/1415] eta: 0:02:44 lr: 0.000000 loss: 0.1722 (0.1833) labels_encoder: 0.1722 (0.1833) labels_encoder_unscaled: 0.1722 (0.1833) time: 0.1336 data: 0.0002 max mem: 1126
Epoch: [4] [ 300/1415] eta: 0:02:36 lr: 0.000000 loss: 0.1553 (0.1821) labels_encoder: 0.1553 (0.1821) labels_encoder_unscaled: 0.1553 (0.1821) time: 0.1350 data: 0.0002 max mem: 1126
Epoch: [4] [ 350/1415] eta: 0:02:27 lr: 0.000000 loss: 0.1713 (0.1815) labels_encoder: 0.1713 (0.1815) labels_encoder_unscaled: 0.1713 (0.1815) time: 0.1268 data: 0.0002 max mem: 1126
Epoch: [4] [ 400/1415] eta: 0:02:19 lr: 0.000000 loss: 0.1730 (0.1804) labels_encoder: 0.1730 (0.1804) labels_encoder_unscaled: 0.1730 (0.1804) time: 0.1370 data: 0.0002 max mem: 1126
Epoch: [4] [ 450/1415] eta: 0:02:12 lr: 0.000000 loss: 0.1846 (0.1807) labels_encoder: 0.1846 (0.1807) labels_encoder_unscaled: 0.1846 (0.1807) time: 0.1344 data: 0.0002 max mem: 1126
Epoch: [4] [ 500/1415] eta: 0:02:04 lr: 0.000000 loss: 0.1640 (0.1803) labels_encoder: 0.1640 (0.1803) labels_encoder_unscaled: 0.1640 (0.1803) time: 0.1209 data: 0.0002 max mem: 1126
Epoch: [4] [ 550/1415] eta: 0:01:57 lr: 0.000000 loss: 0.2012 (0.1808) labels_encoder: 0.2012 (0.1808) labels_encoder_unscaled: 0.2012 (0.1808) time: 0.1311 data: 0.0003 max mem: 1126
Epoch: [4] [ 600/1415] eta: 0:01:50 lr: 0.000000 loss: 0.1730 (0.1807) labels_encoder: 0.1730 (0.1807) labels_encoder_unscaled: 0.1730 (0.1807) time: 0.1377 data: 0.0002 max mem: 1126
Epoch: [4] [ 650/1415] eta: 0:01:43 lr: 0.000000 loss: 0.1675 (0.1796) labels_encoder: 0.1675 (0.1796) labels_encoder_unscaled: 0.1675 (0.1796) time: 0.1287 data: 0.0002 max mem: 1126
Epoch: [4] [ 700/1415] eta: 0:01:36 lr: 0.000000 loss: 0.1806 (0.1797) labels_encoder: 0.1806 (0.1797) labels_encoder_unscaled: 0.1806 (0.1797) time: 0.1189 data: 0.0002 max mem: 1126
Epoch: [4] [ 750/1415] eta: 0:01:29 lr: 0.000000 loss: 0.1636 (0.1794) labels_encoder: 0.1636 (0.1794) labels_encoder_unscaled: 0.1636 (0.1794) time: 0.1287 data: 0.0002 max mem: 1126
Epoch: [4] [ 800/1415] eta: 0:01:22 lr: 0.000000 loss: 0.1917 (0.1799) labels_encoder: 0.1917 (0.1799) labels_encoder_unscaled: 0.1917 (0.1799) time: 0.1262 data: 0.0002 max mem: 1126
Epoch: [4] [ 850/1415] eta: 0:01:15 lr: 0.000000 loss: 0.1801 (0.1797) labels_encoder: 0.1801 (0.1797) labels_encoder_unscaled: 0.1801 (0.1797) time: 0.1361 data: 0.0002 max mem: 1126
Epoch: [4] [ 900/1415] eta: 0:01:08 lr: 0.000000 loss: 0.1737 (0.1795) labels_encoder: 0.1737 (0.1795) labels_encoder_unscaled: 0.1737 (0.1795) time: 0.1393 data: 0.0002 max mem: 1126
Epoch: [4] [ 950/1415] eta: 0:01:02 lr: 0.000000 loss: 0.1547 (0.1792) labels_encoder: 0.1547 (0.1792) labels_encoder_unscaled: 0.1547 (0.1792) time: 0.1358 data: 0.0002 max mem: 1126
Epoch: [4] [1000/1415] eta: 0:00:55 lr: 0.000000 loss: 0.1683 (0.1791) labels_encoder: 0.1683 (0.1791) labels_encoder_unscaled: 0.1683 (0.1791) time: 0.1344 data: 0.0002 max mem: 1126
Epoch: [4] [1050/1415] eta: 0:00:48 lr: 0.000000 loss: 0.1888 (0.1793) labels_encoder: 0.1888 (0.1793) labels_encoder_unscaled: 0.1888 (0.1793) time: 0.1260 data: 0.0002 max mem: 1126
Epoch: [4] [1100/1415] eta: 0:00:42 lr: 0.000000 loss: 0.1853 (0.1794) labels_encoder: 0.1853 (0.1794) labels_encoder_unscaled: 0.1853 (0.1794) time: 0.1352 data: 0.0002 max mem: 1126
Epoch: [4] [1150/1415] eta: 0:00:35 lr: 0.000000 loss: 0.1844 (0.1797) labels_encoder: 0.1844 (0.1797) labels_encoder_unscaled: 0.1844 (0.1797) time: 0.1321 data: 0.0002 max mem: 1126
Epoch: [4] [1200/1415] eta: 0:00:28 lr: 0.000000 loss: 0.1747 (0.1798) labels_encoder: 0.1747 (0.1798) labels_encoder_unscaled: 0.1747 (0.1798) time: 0.1347 data: 0.0002 max mem: 1126
Epoch: [4] [1250/1415] eta: 0:00:21 lr: 0.000000 loss: 0.2000 (0.1799) labels_encoder: 0.2000 (0.1799) labels_encoder_unscaled: 0.2000 (0.1799) time: 0.1330 data: 0.0002 max mem: 1126
Epoch: [4] [1300/1415] eta: 0:00:15 lr: 0.000000 loss: 0.1741 (0.1801) labels_encoder: 0.1741 (0.1801) labels_encoder_unscaled: 0.1741 (0.1801) time: 0.1306 data: 0.0002 max mem: 1126
Epoch: [4] [1350/1415] eta: 0:00:08 lr: 0.000000 loss: 0.1697 (0.1800) labels_encoder: 0.1697 (0.1800) labels_encoder_unscaled: 0.1697 (0.1800) time: 0.1311 data: 0.0002 max mem: 1126
Epoch: [4] [1400/1415] eta: 0:00:01 lr: 0.000000 loss: 0.1718 (0.1800) labels_encoder: 0.1718 (0.1800) labels_encoder_unscaled: 0.1718 (0.1800) time: 0.1328 data: 0.0004 max mem: 1126
Epoch: [4] [1414/1415] eta: 0:00:00 lr: 0.000000 loss: 0.1670 (0.1800) labels_encoder: 0.1670 (0.1800) labels_encoder_unscaled: 0.1670 (0.1800) time: 0.1136 data: 0.0003 max mem: 1126
Epoch: [4] Total time: 0:03:08 (0.1333 s / it)
Averaged stats: lr: 0.000000 loss: 0.1670 (0.1800) labels_encoder: 0.1670 (0.1800) labels_encoder_unscaled: 0.1670 (0.1800)
Test: [ 0/1613] eta: 0:44:16 loss: 0.4861 (0.4861) labels_encoder: 0.4861 (0.4861) labels_encoder_unscaled: 0.4861 (0.4861) time: 1.6469 data: 1.5820 max mem: 1126
Test: [ 50/1613] eta: 0:02:25 loss: 0.2714 (0.6418) labels_encoder: 0.2714 (0.6418) labels_encoder_unscaled: 0.2714 (0.6418) time: 0.0642 data: 0.0002 max mem: 1126
Test: [ 100/1613] eta: 0:01:52 loss: 0.1665 (0.4903) labels_encoder: 0.1665 (0.4903) labels_encoder_unscaled: 0.1665 (0.4903) time: 0.0575 data: 0.0002 max mem: 1126
Test: [ 150/1613] eta: 0:01:41 loss: 0.3920 (0.4519) labels_encoder: 0.3920 (0.4519) labels_encoder_unscaled: 0.3920 (0.4519) time: 0.0588 data: 0.0002 max mem: 1126
Test: [ 200/1613] eta: 0:01:33 loss: 0.7568 (0.5245) labels_encoder: 0.7568 (0.5245) labels_encoder_unscaled: 0.7568 (0.5245) time: 0.0582 data: 0.0002 max mem: 1126
Test: [ 250/1613] eta: 0:01:28 loss: 0.2986 (0.5630) labels_encoder: 0.2986 (0.5630) labels_encoder_unscaled: 0.2986 (0.5630) time: 0.0609 data: 0.0002 max mem: 1126
Test: [ 300/1613] eta: 0:01:24 loss: 0.3730 (0.5909) labels_encoder: 0.3730 (0.5909) labels_encoder_unscaled: 0.3730 (0.5909) time: 0.0578 data: 0.0002 max mem: 1126
Test: [ 350/1613] eta: 0:01:19 loss: 0.8569 (0.6003) labels_encoder: 0.8569 (0.6003) labels_encoder_unscaled: 0.8569 (0.6003) time: 0.0567 data: 0.0002 max mem: 1126
Test: [ 400/1613] eta: 0:01:15 loss: 0.3820 (0.6679) labels_encoder: 0.3820 (0.6679) labels_encoder_unscaled: 0.3820 (0.6679) time: 0.0575 data: 0.0002 max mem: 1126
Test: [ 450/1613] eta: 0:01:11 loss: 0.5132 (0.7120) labels_encoder: 0.5132 (0.7120) labels_encoder_unscaled: 0.5132 (0.7120) time: 0.0531 data: 0.0002 max mem: 1126
Test: [ 500/1613] eta: 0:01:08 loss: 0.1867 (0.6777) labels_encoder: 0.1867 (0.6777) labels_encoder_unscaled: 0.1867 (0.6777) time: 0.0631 data: 0.0002 max mem: 1126
Test: [ 550/1613] eta: 0:01:05 loss: 0.4315 (0.6840) labels_encoder: 0.4315 (0.6840) labels_encoder_unscaled: 0.4315 (0.6840) time: 0.0631 data: 0.0002 max mem: 1126
Test: [ 600/1613] eta: 0:01:02 loss: 0.8558 (0.7195) labels_encoder: 0.8558 (0.7195) labels_encoder_unscaled: 0.8558 (0.7195) time: 0.0604 data: 0.0002 max mem: 1126
Test: [ 650/1613] eta: 0:00:58 loss: 0.6317 (0.7042) labels_encoder: 0.6317 (0.7042) labels_encoder_unscaled: 0.6317 (0.7042) time: 0.0580 data: 0.0002 max mem: 1126
Test: [ 700/1613] eta: 0:00:55 loss: 0.3814 (0.6905) labels_encoder: 0.3814 (0.6905) labels_encoder_unscaled: 0.3814 (0.6905) time: 0.0565 data: 0.0002 max mem: 1126
Test: [ 750/1613] eta: 0:00:52 loss: 0.3354 (0.6747) labels_encoder: 0.3354 (0.6747) labels_encoder_unscaled: 0.3354 (0.6747) time: 0.0529 data: 0.0002 max mem: 1126
Test: [ 800/1613] eta: 0:00:48 loss: 0.5690 (0.6745) labels_encoder: 0.5690 (0.6745) labels_encoder_unscaled: 0.5690 (0.6745) time: 0.0601 data: 0.0002 max mem: 1126
Test: [ 850/1613] eta: 0:00:45 loss: 1.0162 (0.6793) labels_encoder: 1.0162 (0.6793) labels_encoder_unscaled: 1.0162 (0.6793) time: 0.0565 data: 0.0002 max mem: 1126
Test: [ 900/1613] eta: 0:00:42 loss: 0.3900 (0.6918) labels_encoder: 0.3900 (0.6918) labels_encoder_unscaled: 0.3900 (0.6918) time: 0.0619 data: 0.0002 max mem: 1126
Test: [ 950/1613] eta: 0:00:39 loss: 0.4472 (0.6851) labels_encoder: 0.4472 (0.6851) labels_encoder_unscaled: 0.4472 (0.6851) time: 0.0556 data: 0.0002 max mem: 1126
Test: [1000/1613] eta: 0:00:36 loss: 0.2950 (0.6723) labels_encoder: 0.2950 (0.6723) labels_encoder_unscaled: 0.2950 (0.6723) time: 0.0619 data: 0.0002 max mem: 1126
Test: [1050/1613] eta: 0:00:33 loss: 0.5077 (0.6670) labels_encoder: 0.5077 (0.6670) labels_encoder_unscaled: 0.5077 (0.6670) time: 0.0620 data: 0.0003 max mem: 1126
Test: [1100/1613] eta: 0:00:30 loss: 0.3986 (0.6693) labels_encoder: 0.3986 (0.6693) labels_encoder_unscaled: 0.3986 (0.6693) time: 0.0578 data: 0.0002 max mem: 1126
Test: [1150/1613] eta: 0:00:27 loss: 0.4348 (0.6611) labels_encoder: 0.4348 (0.6611) labels_encoder_unscaled: 0.4348 (0.6611) time: 0.0559 data: 0.0002 max mem: 1126
Test: [1200/1613] eta: 0:00:24 loss: 0.3604 (0.6648) labels_encoder: 0.3604 (0.6648) labels_encoder_unscaled: 0.3604 (0.6648) time: 0.0507 data: 0.0002 max mem: 1126
Test: [1250/1613] eta: 0:00:21 loss: 0.2505 (0.6667) labels_encoder: 0.2505 (0.6667) labels_encoder_unscaled: 0.2505 (0.6667) time: 0.0554 data: 0.0002 max mem: 1126
Test: [1300/1613] eta: 0:00:18 loss: 0.2399 (0.6628) labels_encoder: 0.2399 (0.6628) labels_encoder_unscaled: 0.2399 (0.6628) time: 0.0593 data: 0.0002 max mem: 1126
Test: [1350/1613] eta: 0:00:15 loss: 0.5736 (0.6721) labels_encoder: 0.5736 (0.6721) labels_encoder_unscaled: 0.5736 (0.6721) time: 0.0554 data: 0.0002 max mem: 1126
Test: [1400/1613] eta: 0:00:12 loss: 0.6482 (0.6712) labels_encoder: 0.6482 (0.6712) labels_encoder_unscaled: 0.6482 (0.6712) time: 0.0567 data: 0.0002 max mem: 1126
Test: [1450/1613] eta: 0:00:09 loss: 0.2622 (0.6818) labels_encoder: 0.2622 (0.6818) labels_encoder_unscaled: 0.2622 (0.6818) time: 0.0609 data: 0.0002 max mem: 1126
Test: [1500/1613] eta: 0:00:06 loss: 0.4621 (0.6894) labels_encoder: 0.4621 (0.6894) labels_encoder_unscaled: 0.4621 (0.6894) time: 0.0614 data: 0.0002 max mem: 1126
Test: [1550/1613] eta: 0:00:03 loss: 0.5865 (0.6888) labels_encoder: 0.5865 (0.6888) labels_encoder_unscaled: 0.5865 (0.6888) time: 0.0609 data: 0.0010 max mem: 1126
Test: [1600/1613] eta: 0:00:00 loss: 0.4970 (0.6844) labels_encoder: 0.4970 (0.6844) labels_encoder_unscaled: 0.4970 (0.6844) time: 0.0567 data: 0.0002 max mem: 1126
Test: [1612/1613] eta: 0:00:00 loss: 0.4970 (0.6843) labels_encoder: 0.4970 (0.6843) labels_encoder_unscaled: 0.4970 (0.6843) time: 0.0402 data: 0.0001 max mem: 1126
Test: Total time: 0:01:35 (0.0591 s / it)
Averaged stats: loss: 0.4970 (0.6843) labels_encoder: 0.4970 (0.6843) labels_encoder_unscaled: 0.4970 (0.6843)
(21, 206375)
(21, 206375)
[Epoch-4] [IDU-anet] mAP: 0.5589, mcAP: 0.9728
BaseballPitch: 0.2079
BasketballDunk: 0.7460
Billiards: 0.4083
CleanAndJerk: 0.7458
CliffDiving: 0.8255
CricketBowling: 0.3624
CricketShot: 0.1735
Diving: 0.6738
FrisbeeCatch: 0.3509
GolfSwing: 0.4988
HammerThrow: 0.8468
HighJump: 0.5397
JavelinThrow: 0.6858
LongJump: 0.7939
PoleVault: 0.8491
Shotput: 0.6537
SoccerPenalty: 0.3894
TennisSwing: 0.4804
ThrowDiscus: 0.6395
VolleyballSpiking: 0.3075
Training time 0:18:23