Suspension in the Last Training Epoch
Symptom
Logs showed that an error occurred in split data. As a result, processes are in different epochs, and uncompleted processes are suspended because they do not receive response from other processes. As shown in the following figure, some processes are in epoch 48 while others are in epoch 49 at the same time.
loss exit lane:0.12314446270465851 step loss is 0.29470521211624146 [2022-04-26 13:57:20,757][INFO][train_epoch]:Rank:2 Epoch:[48][20384/all] Data Time 0.000(0.000) Net Time 0.705(0.890) Loss 0.3403(0.3792)LR 0.00021887 [2022-04-26 13:57:20,757][INFO][train_epoch]:Rank:1 Epoch:[48][20384/all] Data Time 0.000(0.000) Net Time 0.705(0.891) Loss 0.3028(0.3466) LR 0.00021887 [2022-04-26 13:57:20,757][INFO][train_epoch]:Rank:4 Epoch:[49][20384/all] Data Time 0.000(0.147) Net Time 0.705(0.709) Loss 0.3364(0.3414)LR 0.00021887 [2022-04-26 13:57:20,758][INFO][train_epoch]:Rank:3 Epoch:[49][20384/all] Data Time 0.000 (0.115) Net Time 0.706(0.814) Loss 0.3345(0.3418) LR 0.00021887 [2022-04-26 13:57:20,758][INFO][train_epoch]:Rank:0 Epoch:[49][20384/all] Data Time 0.000(0.006) Net Time 0.704(0.885) Loss 0.2947(0.3566) LR 0.00021887 [2022-04-26 13:57:20,758][INFO][train_epoch]:Rank:7 Epoch:[49][20384/all] Data Time 0.001 (0.000) Net Time 0.706 (0.891) Loss 0.3782(0.3614) LR 0.00021887 [2022-04-26 13:57:20,759][INFO][train_epoch]:Rank:5 Epoch:[48][20384/all] Data Time 0.000(0.000) Net Time 0.706(0.891) Loss 0.5471(0.3642) LR 0.00021887 [2022-04-26 13:57:20,763][INFO][train_epoch]:Rank:6 Epoch:[49][20384/all] Data Time 0.000(0.000) Net Time 0.704(0.891) Loss 0.2643(0.3390)LR 0.00021887 stage 1 loss 0.4600560665130615 mul_cls_loss loss:0.01245919056236744 mul_offset_loss 0.44759687781333923 origin stage2_loss 0.048592399805784225 stage 1 loss:0.4600560665130615 stage 2 loss:0.048592399805784225 loss exit lane:0.10233864188194275
Solution
Split tensors to align data.
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