python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/1543d5781b5511ecbb493cfdfed40140.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/1543d5781b5511ecbb493cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2436538a1b5511ec900a3cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/2436538a1b5511ec900a3cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/3d2b96801b5911eca5773cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/3d2b96801b5911eca5773cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/7ac40f4a1b5411ecbcee40a6b7028934.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/7ac40f4a1b5411ecbcee40a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/ab7c28bc1b5811eca64840a6b70287f8.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/ab7c28bc1b5811eca64840a6b70287f8/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/d5f25b341b5811ecb73e3cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/d5f25b341b5811ecb73e3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/16986bd21b5511ecaa6a3cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/16986bd21b5511ecaa6a3cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/28b6b24e1b5811ecb1513cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/28b6b24e1b5811ecb1513cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/616a7b1a1b5911ecb32a3cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/616a7b1a1b5911ecb32a3cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/7b3a1db21b5811ecaaf440a6b70287f8.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/7b3a1db21b5811ecaaf440a6b70287f8/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/b6734d841b5511ec9fb23cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/b6734d841b5511ec9fb23cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f5b0cc361b5711ecb85640a6b70287f8.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/f5b0cc361b5711ecb85640a6b70287f8/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/1888327e1b5511ec89fb3cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/1888327e1b5511ec89fb3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2f48310e1b5911eca9f840a6b70287f8.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/2f48310e1b5911eca9f840a6b70287f8/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/748a23b21b5411eca1903cfdfed40140.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/748a23b21b5411eca1903cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/7c34eeb21b5411ec933f40a6b70287f8.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/7c34eeb21b5411ec933f40a6b70287f8/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/b6a63cbc1b5511ec82243cfdfed40140.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/b6a63cbc1b5511ec82243cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f65bf4d01b5711ecb2e53cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/f65bf4d01b5711ecb2e53cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/19a4361c1b5511ec9bb440a6b7028934.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/19a4361c1b5511ec9bb440a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2fc9b4261b5511ec8d0340a6b70287f8.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/2fc9b4261b5511ec8d0340a6b70287f8/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/752e6a9e1b5411ecb51c3cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/752e6a9e1b5411ecb51c3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/7c8e847c1b5411ec83683cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/7c8e847c1b5411ec83683cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/b89ae9281b5511eca74640a6b7028934.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/b89ae9281b5511eca74640a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f70563801b5711ec8f583cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/f70563801b5711ec8f583cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/19efa7a01b5511ec9fd33cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/19efa7a01b5511ec9fd33cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/3175cbea1b5811eca9db3cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/3175cbea1b5811eca9db3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/773b47da1b5411ecb60b3cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/773b47da1b5411ecb60b3cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/965159bc1b5811ecb44f3cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/965159bc1b5811ecb44f3cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/bb61d4f01b5511ecb3123cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/bb61d4f01b5511ecb3123cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f73ca3fe1b5711ec92cb40a6b7028934.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/f73ca3fe1b5711ec92cb40a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/1e58ec541b5811ec916e3cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/1e58ec541b5811ec916e3cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/3a8d0a081b5911ecab6440a6b7028934.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/3a8d0a081b5911ecab6440a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/773b4b0e1b5411ecbf533cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/773b4b0e1b5411ecbf533cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/99057e361b5811ec9aca40a6b7028934.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/99057e361b5811ec9aca40a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/bfc8689e1b5811ecaf153cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/bfc8689e1b5811ecaf153cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2037e53c1b5511ec9bce3cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/2037e53c1b5511ec9bce3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/3b9efad21b5911ecaa3d3cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/3b9efad21b5911ecaa3d3cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/79f6f2ee1b5411ecb8fb3cfdfed40170.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/79f6f2ee1b5411ecb8fb3cfdfed40170/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/99e5e0341b5811ec8d533cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/99e5e0341b5811ec8d533cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/ca7a65621b5811ec90703cfdfed3fe78.pth --model recur_net_1d --output results/prefix_sums/old_width_test_48 --problem prefix_sums --test_batch_size 500 --test_data 48 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 65 70 75 80 85 90 95 100 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/ca7a65621b5811ec90703cfdfed3fe78/

#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/042a880e1b5a11ecb2783cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/042a880e1b5a11ecb2783cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2afb99081b5711eca6243cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/2afb99081b5711eca6243cfdfed3fe90/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/57e8fdc61b5611ec97a03cfdfed40140.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/57e8fdc61b5611ec97a03cfdfed40140/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/799c1cc01b5911ec92763cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/799c1cc01b5911ec92763cfdfed3fe90/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/ac9b0fae1b5a11ecb5d43cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/ac9b0fae1b5a11ecb5d43cfdfed3fe90/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/db1c46d21b5911ec85553cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/db1c46d21b5911ec85553cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/048c9a3e1b5b11ec84423cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/048c9a3e1b5b11ec84423cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/38ce3a381b5a11ecb0ba3cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/38ce3a381b5a11ecb0ba3cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/5d4a63da1b5711ec881e3cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/5d4a63da1b5711ec881e3cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/875ae6dc1b5611ec89693cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/875ae6dc1b5611ec89693cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/bb902fd01b5511ecba283cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/bb902fd01b5511ecba283cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/dc04c5741b5911ecab4240a6b7028934.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/dc04c5741b5911ecab4240a6b7028934/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/17043f1e1b5b11ec884b3cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/17043f1e1b5b11ec884b3cfdfed3fe90/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/43a627681b5a11ec9aa340a6b70287f8.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/43a627681b5a11ec9aa340a6b70287f8/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/5ecee4ca1b5611ec92a73cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/5ecee4ca1b5611ec92a73cfdfed3fe90/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/9268d46c1b5611ec896a3cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/9268d46c1b5611ec896a3cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/bead7d581b5a11ec93a340a6b70287f8.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/bead7d581b5a11ec93a340a6b70287f8/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/df751f1a1b5911ec85573cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/df751f1a1b5911ec85573cfdfed3fe90/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2029443a1b5711ec869c40a6b7028934.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/2029443a1b5711ec869c40a6b7028934/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/492a7ea01b5a11ec9ca93cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/492a7ea01b5a11ec9ca93cfdfed3fe90/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/623a44aa1b5711ecbfbe3cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/623a44aa1b5711ecbfbe3cfdfed3fe90/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/93bb6ff01b5611ec83f73cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/93bb6ff01b5611ec83f73cfdfed3fe90/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/c302d7941b5611ec823e40a6b70287f8.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/c302d7941b5611ec823e40a6b70287f8/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/e30b2ab61b5911ec9c8640a6b70287f8.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/e30b2ab61b5911ec9c8640a6b70287f8/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/22903d461b5711ec8e483cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/22903d461b5711ec8e483cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/530c13a01b5711ec9c1e3cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/530c13a01b5711ec9c1e3cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/6270804a1b5911ecb09f40a6b70287f8.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/6270804a1b5911ecb09f40a6b70287f8/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/9fb2436e1b5711ecbfe540a6b70287f8.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/9fb2436e1b5711ecbfe540a6b70287f8/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/c428c1ac1b5511ecbcde3cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/c428c1ac1b5511ecbcde3cfdfed3fe90/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/e3e42d601b5511ec8e5040a6b70287f8.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/e3e42d601b5511ec8e5040a6b70287f8/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2397191c1b5711ec86e73cfdfed40140.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/2397191c1b5711ec86e73cfdfed40140/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/55527e0c1b5611ecb08a3cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/55527e0c1b5611ecb08a3cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/6d3d52801b5b11ec8ff73cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/6d3d52801b5b11ec8ff73cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/a34fd3261b5a11ec816f3cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/a34fd3261b5a11ec816f3cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/c6f8cbca1b5511ecad053cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/c6f8cbca1b5511ecad053cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/240a2f161b5b11ecbd3640a6b70287f8.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/240a2f161b5b11ecbd3640a6b70287f8/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/57d9ed861b5611ec8cc040a6b7028934.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/57d9ed861b5611ec8cc040a6b7028934/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/6d468c6c1b5911ecbd123cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/6d468c6c1b5911ecbd123cfdfed3fe78/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/a642851a1b5a11ecb7fd40a6b7028934.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/a642851a1b5a11ecb7fd40a6b7028934/
#python test_model.py --model_path checkpoints/prefix_sums/old_width/recur_net_recall_1d_adam_train_mode=progressive_width=120_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/d08bda9c1b5a11ecb5ac3cfdfed3fe78.pth --model recur_net_recall_1d --output results/prefix_sums/old_width_test_512 --problem prefix_sums --test_batch_size 500 --test_data 512 --test_iterations 15 20 25 30 50 75 100 125 150 175 200 225 250 275 300 325 350 375 400 --test_mode max_conf --train_batch_size 100 --width 120 --args_path results/prefix_sums/old_width/d08bda9c1b5a11ecb5ac3cfdfed3fe78/








































