Update with PyTorch Hub links

Author: yoshitomo-matsubara

configs/sample/ilsvrc2012/ghnd/custom_densenet169_from_densenet169.yaml

@@ -68,6 +68,7 @@ models:
       weights: !getattr [*teacher_weights, 'IMAGENET1K_V1']
     src_ckpt:
   student_model:
+    repo_or_dir: 'yoshitomo-matsubara/sc2-benchmark'
     key: &student_model_key 'custom_densenet169'
     _weights: &student_weights !import_get
       key: 'torchvision.models.densenet.DenseNet169_Weights'
@@ -120,11 +121,11 @@ train:
   student:
     forward_proc: 'forward_batch_only'
     adaptations:
-    sequential: ['features']
+    sequential: ['bottleneck_layer', 'features']
     frozen_modules: ['features.denseblock3', 'features.transition3', 'features.denseblock4', 'features.norm5']
     forward_hook:
       input: []
-      output: ['features.bottleneck', 'features.transition3', 'features.denseblock4']
+      output: ['bottleneck_layer', 'features.transition3', 'features.denseblock4']
     wrapper: 'DistributedDataParallel'
     requires_grad: True
   optimizer:
@@ -150,7 +151,7 @@ train:
             kwargs:
               input:
                 is_from_teacher: False
-                module_path: 'features.bottleneck'
+                module_path: 'bottleneck_layer'
                 io: 'output'
               target:
                 is_from_teacher: True

configs/sample/ilsvrc2012/ghnd/custom_densenet201_from_densenet201.yaml

@@ -68,6 +68,7 @@ models:
       weights: !getattr [*teacher_weights, 'IMAGENET1K_V1']
     src_ckpt:
   student_model:
+    repo_or_dir: 'yoshitomo-matsubara/sc2-benchmark'
     key: &student_model_key 'custom_densenet201'
     _weights: &student_weights !import_get
       key: 'torchvision.models.densenet.DenseNet201_Weights'
@@ -120,11 +121,11 @@ train:
   student:
     forward_proc: 'forward_batch_only'
     adaptations:
-    sequential: ['features']
+    sequential: ['bottleneck_layer', 'features']
     frozen_modules: ['features.denseblock3', 'features.transition3', 'features.denseblock4', 'features.norm5']
     forward_hook:
       input: []
-      output: ['features.bottleneck', 'features.transition3', 'features.denseblock4']
+      output: ['bottleneck_layer', 'features.transition3', 'features.denseblock4']
     wrapper: 'DistributedDataParallel'
     requires_grad: True
   optimizer:
@@ -150,7 +151,7 @@ train:
             kwargs:
               input:
                 is_from_teacher: False
-                module_path: 'features.bottleneck'
+                module_path: 'bottleneck_layer'
                 io: 'output'
               target:
                 is_from_teacher: True

configs/sample/ilsvrc2012/ghnd/custom_inception_v3_from_inception_v3.yaml

@@ -68,6 +68,7 @@ models:
       weights: !getattr [*teacher_weights, 'IMAGENET1K_V1']
     src_ckpt:
   student_model:
+    repo_or_dir: 'yoshitomo-matsubara/sc2-benchmark'
     key: &student_model_key 'custom_inception_v3'
     _weights: &student_weights !import_get
       key: 'torchvision.models.inception.Inception_V3_Weights'
@@ -131,11 +132,11 @@ train:
   student:
     forward_proc: 'forward_batch_only'
     adaptations:
-    sequential: ['bottleneck_layer', 'Mixed_5b', 'Mixed_5c', 'Mixed_5d', 'Mixed_6a', 'Mixed_6b', 'Mixed_6c', 'Mixed_6d', 'Mixed_6e', 'Mixed_7a', 'Mixed_7b', 'Mixed_7c']
-    frozen_modules: ['Mixed_5b', 'Mixed_5c', 'Mixed_5d', 'Mixed_6a', 'Mixed_6b', 'Mixed_6c', 'Mixed_6d', 'Mixed_6e', 'Mixed_7a', 'Mixed_7b', 'Mixed_7c']
+    sequential: ['bottleneck_layer', 'inception_modules']
+    frozen_modules: ['inception_modules.Mixed_5c', 'inception_modules.Mixed_5d', 'inception_modules.Mixed_6a', 'inception_modules.Mixed_6b', 'inception_modules.Mixed_6c', 'inception_modules.Mixed_6d', 'inception_modules.Mixed_6e', 'inception_modules.Mixed_7a', 'inception_modules.Mixed_7b', 'inception_modules.Mixed_7c']
     forward_hook:
       input: []
-      output: ['bottleneck_layer', 'Mixed_5d', 'Mixed_6e', 'Mixed_7c']
+      output: ['bottleneck_layer', 'inception_modules.Mixed_5d', 'inception_modules.Mixed_6e', 'inception_modules.Mixed_7c']
     wrapper: 'DistributedDataParallel'
     requires_grad: True
   optimizer:
@@ -178,7 +179,7 @@ train:
             kwargs:
               input:
                 is_from_teacher: False
-                module_path: 'Mixed_5d'
+                module_path: 'inception_modules.Mixed_5d'
                 io: 'output'
               target:
                 is_from_teacher: True
@@ -195,7 +196,7 @@ train:
             kwargs:
               input:
                 is_from_teacher: False
-                module_path: 'Mixed_6e'
+                module_path: 'inception_modules.Mixed_6e'
                 io: 'output'
               target:
                 is_from_teacher: True
@@ -212,7 +213,7 @@ train:
             kwargs:
               input:
                 is_from_teacher: False
-                module_path: 'Mixed_7c'
+                module_path: 'inception_modules.Mixed_7c'
                 io: 'output'
               target:
                 is_from_teacher: True

configs/sample/ilsvrc2012/ghnd/custom_resnet152_from_resnet152.yaml

@@ -68,6 +68,7 @@ models:
       weights: !getattr [*teacher_weights, 'IMAGENET1K_V1']
     src_ckpt:
   student_model:
+    repo_or_dir: 'yoshitomo-matsubara/sc2-benchmark'
     key: &student_model_key 'custom_resnet152'
     _weights: &student_weights !import_get
       key: 'torchvision.models.resnet.ResNet152_Weights'
@@ -120,11 +121,11 @@ train:
   student:
     forward_proc: 'forward_batch_only'
     adaptations:
-    sequential: ['bottleneck', 'layer3', 'layer4']
+    sequential: ['bottleneck_layer', 'layer3', 'layer4']
     frozen_modules: ['layer3', 'layer4']
     forward_hook:
       input: []
-      output: ['bottleneck', 'layer3', 'layer4']
+      output: ['bottleneck_layer', 'layer3', 'layer4']
     wrapper: 'DistributedDataParallel'
     requires_grad: True
   optimizer:
@@ -150,7 +151,7 @@ train:
             kwargs:
               input:
                 is_from_teacher: False
-                module_path: 'bottleneck'
+                module_path: 'bottleneck_layer'
                 io: 'output'
               target:
                 is_from_teacher: True

configs/sample/ilsvrc2012/hnd/custom_densenet169_from_densenet169.yaml

@@ -68,6 +68,7 @@ models:
       weights: !getattr [*teacher_weights, 'IMAGENET1K_V1']
     src_ckpt:
   student_model:
+    repo_or_dir: 'yoshitomo-matsubara/sc2-benchmark'
     key: &student_model_key 'custom_densenet169'
     _weights: &student_weights !import_get
       key: 'torchvision.models.densenet.DenseNet169_Weights'
@@ -120,11 +121,11 @@ train:
   student:
     forward_proc: 'forward_batch_only'
     adaptations:
-    sequential: ['features']
+    sequential: ['bottleneck_layer']
     frozen_modules: []
     forward_hook:
       input: []
-      output: ['features.bottleneck']
+      output: ['bottleneck_layer']
     wrapper: 'DistributedDataParallel'
     requires_grad: True
   optimizer:
@@ -150,7 +151,7 @@ train:
             kwargs:
               input:
                 is_from_teacher: False
-                module_path: 'features.bottleneck'
+                module_path: 'bottleneck_layer'
                 io: 'output'
               target:
                 is_from_teacher: True

configs/sample/ilsvrc2012/hnd/custom_densenet201_from_densenet201.yaml

@@ -68,6 +68,7 @@ models:
       weights: !getattr [*teacher_weights, 'IMAGENET1K_V1']
     src_ckpt:
   student_model:
+    repo_or_dir: 'yoshitomo-matsubara/sc2-benchmark'
     key: &student_model_key 'custom_densenet201'
     _weights: &student_weights !import_get
       key: 'torchvision.models.densenet.DenseNet201_Weights'
@@ -120,11 +121,11 @@ train:
   student:
     forward_proc: 'forward_batch_only'
     adaptations:
-    sequential: ['features']
+    sequential: ['bottleneck_layer']
     frozen_modules: []
     forward_hook:
       input: []
-      output: ['features.bottleneck']
+      output: ['bottleneck_layer']
     wrapper: 'DistributedDataParallel'
     requires_grad: True
   optimizer:
@@ -150,7 +151,7 @@ train:
             kwargs:
               input:
                 is_from_teacher: False
-                module_path: 'features.bottleneck'
+                module_path: 'bottleneck_layer'
                 io: 'output'
               target:
                 is_from_teacher: True

configs/sample/ilsvrc2012/hnd/custom_resnet152_from_resnet152.yaml

@@ -68,6 +68,7 @@ models:
       weights: !getattr [*teacher_weights, 'IMAGENET1K_V1']
     src_ckpt:
   student_model:
+    repo_or_dir: 'yoshitomo-matsubara/sc2-benchmark'
     key: &student_model_key 'custom_resnet152'
     _weights: &student_weights !import_get
       key: 'torchvision.models.resnet.ResNet152_Weights'
@@ -120,11 +121,11 @@ train:
   student:
     forward_proc: 'forward_batch_only'
     adaptations:
-    sequential: ['bottleneck']
+    sequential: ['bottleneck_layer']
     frozen_modules: []
     forward_hook:
       input: []
-      output: ['bottleneck']
+      output: ['bottleneck_layer']
     wrapper: 'DistributedDataParallel'
     requires_grad: True
   optimizer:
@@ -150,7 +151,7 @@ train:
             kwargs:
               input:
                 is_from_teacher: False
-                module_path: 'bottleneck'
+                module_path: 'bottleneck_layer'
                 io: 'output'
               target:
                 is_from_teacher: True