python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/1fa570761bff11ecab8e3cfdfed3fe7c.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/1fa570761bff11ecab8e3cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2e127e521c0311ec8b1640a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/2e127e521c0311ec8b1640a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/4b9c61941c0411ecbf8b40a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/4b9c61941c0411ecbf8b40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/84ddf0321c0211eca6263cfdfed3fe7c.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/84ddf0321c0211eca6263cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/cf714c1c1bfc11ecb9ae3cfdfed3fe7c.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/cf714c1c1bfc11ecb9ae3cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/24639d901bff11ecb7e13cfdfed40140.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/24639d901bff11ecb7e13cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2e31bbe61c0311ec9d2a3cfdfed40170.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/2e31bbe61c0311ec9d2a3cfdfed40170/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/4d0dad801c0411ec9ceb40a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/4d0dad801c0411ec9ceb40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/9b6a041c1c0211ec8d0c3cfdfed40140.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/9b6a041c1c0211ec8d0c3cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/d51988821bfc11ec8e263cfdfed40140.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/d51988821bfc11ec8e263cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2e1279e81c0311ec929440a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/2e1279e81c0311ec929440a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/47951d741c0011ec80f43cfdfed3fe7c.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/47951d741c0011ec80f43cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/658dadf41c0111ec81f53cfdfed3fe7c.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/658dadf41c0111ec81f53cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/ac5ab9321c0311ec84753cfdfed3fe7c.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/ac5ab9321c0311ec84753cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f7b6735e1bfd11ecb0f63cfdfed3fe7c.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/f7b6735e1bfd11ecb0f63cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2e127e521c0311ec87dd40a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/2e127e521c0311ec87dd40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/4970e36c1c0011ecac113cfdfed40140.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/4970e36c1c0011ecac113cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/7427eb541c0111ec94c03cfdfed40140.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/7427eb541c0111ec94c03cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/cc3ff6901c0311ec93103cfdfed40140.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/cc3ff6901c0311ec93103cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f913cdb41bfd11ec96393cfdfed40140.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/f913cdb41bfd11ec96393cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/232e798c1c0811eca7003cfdfed40140.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/232e798c1c0811eca7003cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/63ff67381c0711ecb78140a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/63ff67381c0711ecb78140a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/76dc7fac1c0811ec9cb040a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/76dc7fac1c0811ec9cb040a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/cab5b9261c0411ecb5d83cfdfed3fe7c.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/cab5b9261c0411ecb5d83cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f0af2da41c0611ec892740a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/f0af2da41c0611ec892740a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/3993da341c0611ec90323cfdfed40170.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/3993da341c0611ec90323cfdfed40170/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/68a831c81c0911eca31040a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/68a831c81c0911eca31040a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/77a878fe1c0411ecac613cfdfed40170.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/77a878fe1c0411ecac613cfdfed40170/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/da18c0561c0511ec913040a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/da18c0561c0511ec913040a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f0af302e1c0611eca00d40a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/f0af302e1c0611eca00d40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/4f9380f21c0411ec8acd40a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/4f9380f21c0411ec8acd40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/6a97f9361c0511ecbba440a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/6a97f9361c0511ecbba440a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/77ae63821c0811ecbe7640a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/77ae63821c0811ecbe7640a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/da86adbc1c0711ec957240a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/da86adbc1c0711ec957240a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f3ee85ca1c0411ec9d063cfdfed40140.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/f3ee85ca1c0411ec9d063cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/539eea221c0611ec80da3cfdfed3fe7c.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/539eea221c0611ec80da3cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/6a97fdbe1c0511ecbb1840a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/6a97fdbe1c0511ecbb1840a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/91b2abc81c0611ecbde73cfdfed40140.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/91b2abc81c0611ecbde73cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/ef9648ce1c0811ec8d4840a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/ef9648ce1c0811ec8d4840a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f732f84e1c0711ec84fb3cfdfed3fe7c.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/f732f84e1c0711ec84fb3cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/095a2d721c0c11ecb96c3cfdfed3fe78.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/095a2d721c0c11ecb96c3cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/40c4c1fe1bb811ec9feb3cfdfed3fe90.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/40c4c1fe1bb811ec9feb3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/862ad0681c0c11eca4fe3cfdfed40140.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/862ad0681c0c11eca4fe3cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/c00744721c0911ec894d3cfdfed40140.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/c00744721c0911ec894d3cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/eb9298161c0a11ecaf593cfdfed3fe7c.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/eb9298161c0a11ecaf593cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/151f46e21c0c11ec89f93cfdfed3fe78.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/151f46e21c0c11ec89f93cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/4daef37c1c0c11ecad3e3cfdfed3fe7c.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/4daef37c1c0c11ecad3e3cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/8844fb7e1c0911ecb1e43cfdfed3fe7c.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/8844fb7e1c0911ecb1e43cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/c88144201bb611ecb8973cfdfed40140.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/c88144201bb611ecb8973cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/f84f7c0e1c0a11ecba8b40a6b70288d8.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/f84f7c0e1c0a11ecba8b40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/242c73e01c0b11ec88a23cfdfed40140.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/242c73e01c0b11ec88a23cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/5517d8dc1c0b11ec971b40a6b70288d8.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/5517d8dc1c0b11ec971b40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/abb7cf901c0a11ec9d233cfdfed3fe78.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/abb7cf901c0a11ec9d233cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/c889a1381bb611ec994940a6b7028800.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/c889a1381bb611ec994940a6b7028800/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/fe3f56da1c0911ec94e540a6b70288d8.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/fe3f56da1c0911ec94e540a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/2a7a0ddc1bb811ecbdff40a6b7028800.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/2a7a0ddc1bb811ecbdff40a6b7028800/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/585d15921c0c11ecbdae40a6b70288d8.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/585d15921c0c11ecbdae40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/abb7d0a81c0a11ec9b6d3cfdfed3fe78.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/abb7d0a81c0a11ec9b6d3cfdfed3fe78/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/c889a1421bb611ec862e40a6b7028800.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/c889a1421bb611ec862e40a6b7028800/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=0.0_lr=0.001_batchsize=100_epoch=149_best/fe5010601c0911ecafdc40a6b70288d8.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/fe5010601c0911ecafdc40a6b70288d8/

python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/1da84f2c1b4711eca2203cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/1da84f2c1b4711eca2203cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/461192761b4611ec9c9140a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/461192761b4611ec9c9140a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/547f6e061b4511ecad4740a6b7028934.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/547f6e061b4511ecad4740a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/6a7b37001b4311ec8a6340a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/6a7b37001b4311ec8a6340a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/76b71c741b4211ec855a40a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/76b71c741b4211ec855a40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/2e164cac1b4611eca8303cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/2e164cac1b4611eca8303cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/4809be961b4611ec96d940a6b7028934.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/4809be961b4611ec96d940a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/5e3d85e61b4411ecb3b040a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/5e3d85e61b4411ecb3b040a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/6affeeaa1b4311eca71d40a6b7028934.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/6affeeaa1b4311eca71d40a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/8225bb481b4111ec8dd440a6b7028934.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/8225bb481b4111ec8dd440a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/39644d381b4711ec956840a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/39644d381b4711ec956840a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/4f4b4fa01b4411ecbca23cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/4f4b4fa01b4411ecbca23cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/601bc7ec1b4411ecaad040a6b7028934.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/601bc7ec1b4411ecaad040a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/70ac3be81b4211ec9c573cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/70ac3be81b4211ec9c573cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/8225e9c41b4111ec925a40a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/8225e9c41b4111ec925a40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/3ed1cb8a1b4511eca0733cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/3ed1cb8a1b4511eca0733cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/51b9081c1b4511eca24240a6b70288d8.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/51b9081c1b4511eca24240a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/60494e521b4311ec89ae3cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/60494e521b4311ec89ae3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/76727d4e1b4211ec9e1440a6b7028934.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/76727d4e1b4211ec9e1440a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/82260bc01b4111eca75d3cfdfed3fe90.pth --model recur_net_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/82260bc01b4111eca75d3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/0da0214e1b4811ec9bbd3cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/0da0214e1b4811ec9bbd3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/30207e621b4811ecad9d40a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/30207e621b4811ecad9d40a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/4cbb58de1b4911ecbfea3cfdfed3fe90.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/4cbb58de1b4911ecbfea3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/839beeb41b4811ec927c40a6b7028934.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/839beeb41b4811ec927c40a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/d522382a1b4711ec8c293cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/d522382a1b4711ec8c293cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/1225a2601b4911ecad6c3cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/1225a2601b4911ecad6c3cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/36c97a2e1b4911ecacaf3cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/36c97a2e1b4911ecacaf3cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/4ddfe9b81b4a11ec812a3cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/4ddfe9b81b4a11ec812a3cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/83f974881b4a11ec9fde3cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/83f974881b4a11ec9fde3cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/d522382a1b4711ec903a3cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/d522382a1b4711ec903a3cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/19ccba8a1b4911eca57f3cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/19ccba8a1b4911eca57f3cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/37d356ec1b4911ecb5513cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/37d356ec1b4911ecb5513cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/67d8bcc81b4a11ecb3eb3cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/67d8bcc81b4a11ecb3eb3cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/c89c8e1e1b4911ecb16440a6b7028934.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/c89c8e1e1b4911ecb16440a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/d522382a1b4711ec9dfa3cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/d522382a1b4711ec9dfa3cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/2c5a7dc21b4911ec83ce3cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/2c5a7dc21b4911ec83ce3cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/3d0691761b4711ec8a8440a6b7028934.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/3d0691761b4711ec8a8440a6b7028934/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/774d80ea1b4911eca7f640a6b70288d8.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/774d80ea1b4911eca7f640a6b70288d8/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/d52237a81b4711eca6ae3cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/d52237a81b4711eca6ae3cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recall_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/d52238341b4711ecb6483cfdfed3ff60.pth --model recur_net_recall_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/d52238341b4711ecb6483cfdfed3ff60/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/0c0bcd6e1bcb11ec88153cfdfed40154.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/0c0bcd6e1bcb11ec88153cfdfed40154/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/0caf8f081bcb11eca3973cfdfed40140.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/0caf8f081bcb11eca3973cfdfed40140/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/2340ad3c1bcc11ecb4e83cfdfed3fe90.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/2340ad3c1bcc11ecb4e83cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/7817362c1bc811ec95c13cfdfed40154.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/7817362c1bc811ec95c13cfdfed40154/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/c301368a1bc111ecad243cfdfed40154.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/c301368a1bc111ecad243cfdfed40154/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/0c1905b01bcb11eca0b340a6b7028800.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/0c1905b01bcb11eca0b340a6b7028800/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/0cf58bb61bcb11ec9b693cfdfed3fe7c.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/0cf58bb61bcb11ec9b693cfdfed3fe7c/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/28c673a41bcc11eca24a40a6b7028800.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/28c673a41bcc11eca24a40a6b7028800/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/7fecb9161bbf11ecb0a53cfdfed40154.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/7fecb9161bbf11ecb0a53cfdfed40154/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/e07251d01bc211ecb6133cfdfed40154.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/e07251d01bc211ecb6133cfdfed40154/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/0c1905b01bcb11ecb67540a6b7028800.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/0c1905b01bcb11ecb67540a6b7028800/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/0e8741ea1bcb11ec858440a6b7028990.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/0e8741ea1bcb11ec858440a6b7028990/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/3d4a82d01bc611ec8f5d3cfdfed40154.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/3d4a82d01bc611ec8f5d3cfdfed40154/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/973866ec1bc911ecbb7940a6b7028994.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/973866ec1bc911ecbb7940a6b7028994/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/f0fe49de1bca11ecbc1940a6b7028994.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/f0fe49de1bca11ecbc1940a6b7028994/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/0c3a8b721bcb11ec8a8a3cfdfed3fe90.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/0c3a8b721bcb11ec8a8a3cfdfed3fe90/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/1c2d9c1e1bc511eca2e33cfdfed40154.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/1c2d9c1e1bc511eca2e33cfdfed40154/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/5b875fce1bc711eca3243cfdfed40154.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/5b875fce1bc711eca3243cfdfed40154/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/a220058c1bc011ecaccf3cfdfed40154.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/a220058c1bc011ecaccf3cfdfed40154/
python test_model.py --model_path checkpoints/prefix_sums/final_plot/recur_net_recallx_1d_adam_train_mode=progressive_width=200_min_n=0_min_k=1_max_iters=15_weight=1.0_lr=0.001_batchsize=100_epoch=149_best/ff0ec05a1bc311ecb57f3cfdfed40154.pth --model recur_net_recallx_1d --output results/prefix_sums/final_plot_test_128 --problem prefix_sums --test_batch_size 500 --test_data 128 --test_iterations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200  --test_mode max_conf --train_batch_size 100 --width 200 --args_path results/prefix_sums/final_plot/ff0ec05a1bc311ecb57f3cfdfed40154/












































































