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  1. .idea/inspectionProfiles/Project_Default.xml +92 -0
  2. .idea/inspectionProfiles/profiles_settings.xml +6 -0
  3. .idea/misc.xml +4 -0
  4. .idea/modules.xml +8 -0
  5. .idea/snnetv2-image-classification.iml +8 -0
  6. .idea/vcs.xml +6 -0
  7. app.py +2 -3
  8. outputs/deit/20240118_171921.log +0 -1
  9. outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172124.log +0 -2
  10. outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172140.log +0 -2
  11. outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172156.log +0 -5
  12. outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172250.log +0 -5
  13. outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172309.log +0 -5
  14. outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172332.log +0 -5
.idea/inspectionProfiles/Project_Default.xml ADDED
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+ </profile>
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.idea/inspectionProfiles/profiles_settings.xml ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ <component name="InspectionProjectProfileManager">
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+ <settings>
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+ <option name="USE_PROJECT_PROFILE" value="false" />
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+ <version value="1.0" />
5
+ </settings>
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+ </component>
.idea/misc.xml ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
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+ <?xml version="1.0" encoding="UTF-8"?>
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+ <project version="4">
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+ <component name="ProjectRootManager" version="2" project-jdk-name="testenv" project-jdk-type="Python SDK" />
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+ </project>
.idea/modules.xml ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0" encoding="UTF-8"?>
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+ <project version="4">
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+ <component name="ProjectModuleManager">
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+ <modules>
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+ <module fileurl="file://$PROJECT_DIR$/.idea/snnetv2-image-classification.iml" filepath="$PROJECT_DIR$/.idea/snnetv2-image-classification.iml" />
6
+ </modules>
7
+ </component>
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+ </project>
.idea/snnetv2-image-classification.iml ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+ <?xml version="1.0" encoding="UTF-8"?>
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+ <module type="PYTHON_MODULE" version="4">
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+ <component name="NewModuleRootManager">
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+ <content url="file://$MODULE_DIR$" />
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.idea/vcs.xml ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
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+ <?xml version="1.0" encoding="UTF-8"?>
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+ <project version="4">
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+ <component name="VcsDirectoryMappings">
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+ <mapping directory="" vcs="Git" />
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+ </project>
app.py CHANGED
@@ -302,7 +302,7 @@ def main(args):
302
  title=f"SN-Netv2 - Stitch ID - {stitch_id}",
303
  title_x=0.5,
304
  xaxis_title="GFLOPs",
305
- yaxis_title="mIoU",
306
  font=dict(
307
  family="Courier New, monospace",
308
  size=18,
@@ -342,8 +342,7 @@ def main(args):
342
  gr.HTML("""
343
  <h1 align="center" style=" display: flex; flex-direction: row; justify-content: center; font-size: 25pt; ">Stitched ViTs are Flexible Vision Backbones</h1>
344
  <div align="center"> <img align="center" src='file/gradio_banner.png' width="70%"> </div>
345
- <h3 align="center" >This is the classification demo page of SN-Netv2, an flexible vision backbone that allows for 100+ runtime speed and performance trade-offs.</h3>
346
- <h3 align="center" >You can also run this gradio demo on your local GPUs at https://github.com/ziplab/SN-Netv2</h3>
347
  """)
348
  with gr.Row():
349
  with gr.Column():
 
302
  title=f"SN-Netv2 - Stitch ID - {stitch_id}",
303
  title_x=0.5,
304
  xaxis_title="GFLOPs",
305
+ yaxis_title="Top-1 Acc (%)",
306
  font=dict(
307
  family="Courier New, monospace",
308
  size=18,
 
342
  gr.HTML("""
343
  <h1 align="center" style=" display: flex; flex-direction: row; justify-content: center; font-size: 25pt; ">Stitched ViTs are Flexible Vision Backbones</h1>
344
  <div align="center"> <img align="center" src='file/gradio_banner.png' width="70%"> </div>
345
+ <h3 align="center" >This is the classification demo page of SN-Netv2, an flexible vision backbone that allows for 100+ runtime speed and performance trade-offs. You can also run this gradio demo on your local GPUs at <a href="https://github.com/ziplab/SN-Netv2">https://github.com/ziplab/SN-Netv2</a>, Paper link: <a href="https://arxiv.org/abs/2307.00154">https://arxiv.org/abs/2307.00154</a>.</h3>
 
346
  """)
347
  with gr.Row():
348
  with gr.Column():
outputs/deit/20240118_171921.log DELETED
@@ -1 +0,0 @@
1
- 2024-01-18 17:19:21,866 - snnet - INFO - Namespace(batch_size=64, epochs=300, bce_loss=False, unscale_lr=False, model='deit_base_patch16_224', input_size=224, drop=0.0, drop_path=0.1, model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, opt='adamw', opt_eps=1e-08, opt_betas=None, clip_grad=None, momentum=0.9, weight_decay=0.05, sched='cosine', lr=0.0005, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, warmup_lr=1e-06, min_lr=1e-05, decay_epochs=30, warmup_epochs=5, cooldown_epochs=10, patience_epochs=10, decay_rate=0.1, color_jitter=0.3, aa='rand-m9-mstd0.5-inc1', smoothing=0.1, train_interpolation='bicubic', repeated_aug=True, train_mode=True, ThreeAugment=False, src=False, reprob=0.25, remode='pixel', recount=1, resplit=False, mixup=0.8, cutmix=1.0, cutmix_minmax=None, mixup_prob=1.0, mixup_switch_prob=0.5, mixup_mode='batch', teacher_model='regnety_160', teacher_path='', distillation_type='none', distillation_alpha=0.5, distillation_tau=1.0, finetune='', attn_only=False, data_path='/datasets01/imagenet_full_size/061417/', data_set='IMNET', inat_category='name', output_dir='outputs/deit', device='cuda', seed=0, resume='', start_epoch=0, eval=False, eval_crop_ratio=0.875, dist_eval=False, num_workers=10, pin_mem=True, world_size=1, dist_url='env://', exp_name='deit', config=None, scoring=False, proxy='synflow', snnet_name='snnetv2', get_flops=False, flops_sampling_k=None, low_rank=False, lora_r=64, flops_gap=1.0, distributed=False)
 
 
outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172124.log DELETED
@@ -1,2 +0,0 @@
1
- 2024-01-18 17:21:24,162 - snnet - INFO - Namespace(batch_size=64, epochs=50, bce_loss=False, unscale_lr=True, model='deit_base_patch16_224', input_size=224, drop=0.0, drop_path=0.1, model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, opt='fusedlamb', opt_eps=1e-08, opt_betas=None, clip_grad=None, momentum=0.9, weight_decay=0.02, sched='cosine', lr=3e-05, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, warmup_lr=1e-07, min_lr=1e-05, decay_epochs=30, warmup_epochs=5, cooldown_epochs=10, patience_epochs=10, decay_rate=0.1, color_jitter=0.3, aa='rand-m9-mstd0.5-inc1', smoothing=0.1, train_interpolation='bicubic', repeated_aug=True, train_mode=True, ThreeAugment=True, src=True, reprob=0.0, remode='pixel', recount=1, resplit=False, mixup=0, cutmix=1.0, cutmix_minmax=None, mixup_prob=1.0, mixup_switch_prob=0.5, mixup_mode='batch', teacher_model='regnety_160', teacher_path='', distillation_type='none', distillation_alpha=0.5, distillation_tau=1.0, finetune='', attn_only=False, data_path='/data2/datasets/imagenet', data_set='IMNET', inat_category='name', output_dir='outputs/stitch_s_l_v2_lora_r_64_50_ep', device='cuda', seed=0, resume='snnetv2_deit3_s_l.pth', start_epoch=0, eval=False, eval_crop_ratio=1.0, dist_eval=False, num_workers=10, pin_mem=True, world_size=1, dist_url='env://', exp_name='stitch_s_l_v2_lora_r_64_50_ep', config='gradio_demo.json', scoring=False, proxy='synflow', snnet_name='snnet_v2', get_flops=False, flops_sampling_k=None, low_rank=False, lora_r=64, flops_gap=1.0, anchors=['deit_small_patch16_LS', 'deit_large_patch16_LS'], anchor_drop_path=[0.05, 0.4], no_repeated_aug=True, pretrained_deit='../pretrained_weights', distributed=False)
2
- 2024-01-18 17:21:24,163 - snnet - INFO - Creating model: deit_small_patch16_LS
 
 
 
outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172140.log DELETED
@@ -1,2 +0,0 @@
1
- 2024-01-18 17:21:40,831 - snnet - INFO - Namespace(batch_size=64, epochs=50, bce_loss=False, unscale_lr=True, model='deit_base_patch16_224', input_size=224, drop=0.0, drop_path=0.1, model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, opt='fusedlamb', opt_eps=1e-08, opt_betas=None, clip_grad=None, momentum=0.9, weight_decay=0.02, sched='cosine', lr=3e-05, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, warmup_lr=1e-07, min_lr=1e-05, decay_epochs=30, warmup_epochs=5, cooldown_epochs=10, patience_epochs=10, decay_rate=0.1, color_jitter=0.3, aa='rand-m9-mstd0.5-inc1', smoothing=0.1, train_interpolation='bicubic', repeated_aug=True, train_mode=True, ThreeAugment=True, src=True, reprob=0.0, remode='pixel', recount=1, resplit=False, mixup=0, cutmix=1.0, cutmix_minmax=None, mixup_prob=1.0, mixup_switch_prob=0.5, mixup_mode='batch', teacher_model='regnety_160', teacher_path='', distillation_type='none', distillation_alpha=0.5, distillation_tau=1.0, finetune='', attn_only=False, data_path='/data2/datasets/imagenet', data_set='IMNET', inat_category='name', output_dir='outputs/stitch_s_l_v2_lora_r_64_50_ep', device='cuda', seed=0, resume='snnetv2_deit3_s_l.pth', start_epoch=0, eval=False, eval_crop_ratio=1.0, dist_eval=False, num_workers=10, pin_mem=True, world_size=1, dist_url='env://', exp_name='stitch_s_l_v2_lora_r_64_50_ep', config='gradio_demo.json', scoring=False, proxy='synflow', snnet_name='snnet_v2', get_flops=False, flops_sampling_k=None, low_rank=False, lora_r=64, flops_gap=1.0, anchors=['deit_small_patch16_LS', 'deit_large_patch16_LS'], anchor_drop_path=[0.05, 0.4], no_repeated_aug=True, pretrained_deit='../pretrained_weights', distributed=False)
2
- 2024-01-18 17:21:40,832 - snnet - INFO - Creating model: deit_small_patch16_LS
 
 
 
outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172156.log DELETED
@@ -1,5 +0,0 @@
1
- 2024-01-18 17:21:56,859 - snnet - INFO - Namespace(batch_size=64, epochs=50, bce_loss=False, unscale_lr=True, model='deit_base_patch16_224', input_size=224, drop=0.0, drop_path=0.1, model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, opt='fusedlamb', opt_eps=1e-08, opt_betas=None, clip_grad=None, momentum=0.9, weight_decay=0.02, sched='cosine', lr=3e-05, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, warmup_lr=1e-07, min_lr=1e-05, decay_epochs=30, warmup_epochs=5, cooldown_epochs=10, patience_epochs=10, decay_rate=0.1, color_jitter=0.3, aa='rand-m9-mstd0.5-inc1', smoothing=0.1, train_interpolation='bicubic', repeated_aug=True, train_mode=True, ThreeAugment=True, src=True, reprob=0.0, remode='pixel', recount=1, resplit=False, mixup=0, cutmix=1.0, cutmix_minmax=None, mixup_prob=1.0, mixup_switch_prob=0.5, mixup_mode='batch', teacher_model='regnety_160', teacher_path='', distillation_type='none', distillation_alpha=0.5, distillation_tau=1.0, finetune='', attn_only=False, data_path='/data2/datasets/imagenet', data_set='IMNET', inat_category='name', output_dir='outputs/stitch_s_l_v2_lora_r_64_50_ep', device='cuda', seed=0, resume='snnetv2_deit3_s_l.pth', start_epoch=0, eval=False, eval_crop_ratio=1.0, dist_eval=False, num_workers=10, pin_mem=True, world_size=1, dist_url='env://', exp_name='stitch_s_l_v2_lora_r_64_50_ep', config='gradio_demo.json', scoring=False, proxy='synflow', snnet_name='snnet_v2', get_flops=False, flops_sampling_k=None, low_rank=False, lora_r=64, flops_gap=1.0, anchors=['deit_small_patch16_LS', 'deit_large_patch16_LS'], anchor_drop_path=[0.05, 0.4], no_repeated_aug=True, pretrained_deit='../pretrained_weights', distributed=False)
2
- 2024-01-18 17:21:56,859 - snnet - INFO - Creating model: deit_small_patch16_LS
3
- 2024-01-18 17:21:57,078 - snnet - INFO - Creating model: deit_large_patch16_LS
4
- 2024-01-18 17:21:59,994 - snnet - INFO - [0, 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, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134]
5
- 2024-01-18 17:22:00,521 - snnet - INFO - load checkpoint from snnetv2_deit3_s_l.pth
 
 
 
 
 
 
outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172250.log DELETED
@@ -1,5 +0,0 @@
1
- 2024-01-18 17:22:50,304 - snnet - INFO - Namespace(batch_size=64, epochs=50, bce_loss=False, unscale_lr=True, model='deit_base_patch16_224', input_size=224, drop=0.0, drop_path=0.1, model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, opt='fusedlamb', opt_eps=1e-08, opt_betas=None, clip_grad=None, momentum=0.9, weight_decay=0.02, sched='cosine', lr=3e-05, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, warmup_lr=1e-07, min_lr=1e-05, decay_epochs=30, warmup_epochs=5, cooldown_epochs=10, patience_epochs=10, decay_rate=0.1, color_jitter=0.3, aa='rand-m9-mstd0.5-inc1', smoothing=0.1, train_interpolation='bicubic', repeated_aug=True, train_mode=True, ThreeAugment=True, src=True, reprob=0.0, remode='pixel', recount=1, resplit=False, mixup=0, cutmix=1.0, cutmix_minmax=None, mixup_prob=1.0, mixup_switch_prob=0.5, mixup_mode='batch', teacher_model='regnety_160', teacher_path='', distillation_type='none', distillation_alpha=0.5, distillation_tau=1.0, finetune='', attn_only=False, data_path='/data2/datasets/imagenet', data_set='IMNET', inat_category='name', output_dir='outputs/stitch_s_l_v2_lora_r_64_50_ep', device='cpu', seed=0, resume='snnetv2_deit3_s_l.pth', start_epoch=0, eval=False, eval_crop_ratio=1.0, dist_eval=False, num_workers=10, pin_mem=True, world_size=1, dist_url='env://', exp_name='stitch_s_l_v2_lora_r_64_50_ep', config='gradio_demo.json', scoring=False, proxy='synflow', snnet_name='snnet_v2', get_flops=False, flops_sampling_k=None, low_rank=False, lora_r=64, flops_gap=1.0, anchors=['deit_small_patch16_LS', 'deit_large_patch16_LS'], anchor_drop_path=[0.05, 0.4], no_repeated_aug=True, pretrained_deit='../pretrained_weights', distributed=False)
2
- 2024-01-18 17:22:50,305 - snnet - INFO - Creating model: deit_small_patch16_LS
3
- 2024-01-18 17:22:50,535 - snnet - INFO - Creating model: deit_large_patch16_LS
4
- 2024-01-18 17:22:53,873 - snnet - INFO - [0, 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, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134]
5
- 2024-01-18 17:22:54,392 - snnet - INFO - load checkpoint from snnetv2_deit3_s_l.pth
 
 
 
 
 
 
outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172309.log DELETED
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1
- 2024-01-18 17:23:09,551 - snnet - INFO - Namespace(batch_size=64, epochs=50, bce_loss=False, unscale_lr=True, model='deit_base_patch16_224', input_size=224, drop=0.0, drop_path=0.1, model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, opt='fusedlamb', opt_eps=1e-08, opt_betas=None, clip_grad=None, momentum=0.9, weight_decay=0.02, sched='cosine', lr=3e-05, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, warmup_lr=1e-07, min_lr=1e-05, decay_epochs=30, warmup_epochs=5, cooldown_epochs=10, patience_epochs=10, decay_rate=0.1, color_jitter=0.3, aa='rand-m9-mstd0.5-inc1', smoothing=0.1, train_interpolation='bicubic', repeated_aug=True, train_mode=True, ThreeAugment=True, src=True, reprob=0.0, remode='pixel', recount=1, resplit=False, mixup=0, cutmix=1.0, cutmix_minmax=None, mixup_prob=1.0, mixup_switch_prob=0.5, mixup_mode='batch', teacher_model='regnety_160', teacher_path='', distillation_type='none', distillation_alpha=0.5, distillation_tau=1.0, finetune='', attn_only=False, data_path='/data2/datasets/imagenet', data_set='IMNET', inat_category='name', output_dir='outputs/stitch_s_l_v2_lora_r_64_50_ep', device='cpu', seed=0, resume='snnetv2_deit3_s_l.pth', start_epoch=0, eval=False, eval_crop_ratio=1.0, dist_eval=False, num_workers=10, pin_mem=True, world_size=1, dist_url='env://', exp_name='stitch_s_l_v2_lora_r_64_50_ep', config='gradio_demo.json', scoring=False, proxy='synflow', snnet_name='snnet_v2', get_flops=False, flops_sampling_k=None, low_rank=False, lora_r=64, flops_gap=1.0, anchors=['deit_small_patch16_LS', 'deit_large_patch16_LS'], anchor_drop_path=[0.05, 0.4], no_repeated_aug=True, pretrained_deit='../pretrained_weights', distributed=False)
2
- 2024-01-18 17:23:09,553 - snnet - INFO - Creating model: deit_small_patch16_LS
3
- 2024-01-18 17:23:09,778 - snnet - INFO - Creating model: deit_large_patch16_LS
4
- 2024-01-18 17:23:13,077 - snnet - INFO - [0, 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, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134]
5
- 2024-01-18 17:23:13,587 - snnet - INFO - load checkpoint from snnetv2_deit3_s_l.pth
 
 
 
 
 
 
outputs/stitch_s_l_v2_lora_r_64_50_ep/20240118_172332.log DELETED
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1
- 2024-01-18 17:23:32,357 - snnet - INFO - Namespace(batch_size=64, epochs=50, bce_loss=False, unscale_lr=True, model='deit_base_patch16_224', input_size=224, drop=0.0, drop_path=0.1, model_ema=True, model_ema_decay=0.99996, model_ema_force_cpu=False, opt='fusedlamb', opt_eps=1e-08, opt_betas=None, clip_grad=None, momentum=0.9, weight_decay=0.02, sched='cosine', lr=3e-05, lr_noise=None, lr_noise_pct=0.67, lr_noise_std=1.0, warmup_lr=1e-07, min_lr=1e-05, decay_epochs=30, warmup_epochs=5, cooldown_epochs=10, patience_epochs=10, decay_rate=0.1, color_jitter=0.3, aa='rand-m9-mstd0.5-inc1', smoothing=0.1, train_interpolation='bicubic', repeated_aug=True, train_mode=True, ThreeAugment=True, src=True, reprob=0.0, remode='pixel', recount=1, resplit=False, mixup=0, cutmix=1.0, cutmix_minmax=None, mixup_prob=1.0, mixup_switch_prob=0.5, mixup_mode='batch', teacher_model='regnety_160', teacher_path='', distillation_type='none', distillation_alpha=0.5, distillation_tau=1.0, finetune='', attn_only=False, data_path='/data2/datasets/imagenet', data_set='IMNET', inat_category='name', output_dir='outputs/stitch_s_l_v2_lora_r_64_50_ep', device='cpu', seed=0, resume='snnetv2_deit3_s_l.pth', start_epoch=0, eval=False, eval_crop_ratio=1.0, dist_eval=False, num_workers=10, pin_mem=True, world_size=1, dist_url='env://', exp_name='stitch_s_l_v2_lora_r_64_50_ep', config='gradio_demo.json', scoring=False, proxy='synflow', snnet_name='snnet_v2', get_flops=False, flops_sampling_k=None, low_rank=False, lora_r=64, flops_gap=1.0, anchors=['deit_small_patch16_LS', 'deit_large_patch16_LS'], anchor_drop_path=[0.05, 0.4], no_repeated_aug=True, pretrained_deit='../pretrained_weights', distributed=False)
2
- 2024-01-18 17:23:32,358 - snnet - INFO - Creating model: deit_small_patch16_LS
3
- 2024-01-18 17:23:32,606 - snnet - INFO - Creating model: deit_large_patch16_LS
4
- 2024-01-18 17:23:35,576 - snnet - INFO - [0, 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, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134]
5
- 2024-01-18 17:23:36,120 - snnet - INFO - load checkpoint from snnetv2_deit3_s_l.pth