Merge 4fa4866 into 3b0b41b

open-mmlab · Feb 22, 2023 · e4669fa · e4669fa
2 parents 3b0b41b + 4fa4866
commit e4669fa
Show file tree

Hide file tree

Showing 7 changed files with 29 additions and 30 deletions.
diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-base_8xb32-210e_coco-256x192.py b/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-base_8xb32-210e_coco-256x192.py
@@ -10,9 +10,9 @@
         lr=5e-4,
         betas=(0.9, 0.999),
         weight_decay=0.01,
-        paramwise_cfg=dict(
-            custom_keys={'relative_position_bias_table': dict(
-                decay_mult=0.)})))
+    ),
+    paramwise_cfg=dict(
+        custom_keys={'relative_position_bias_table': dict(decay_mult=0.)}))
 
 # learning policy
 param_scheduler = [

diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-base_8xb32-210e_coco-384x288.py b/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-base_8xb32-210e_coco-384x288.py
@@ -10,9 +10,9 @@
         lr=5e-4,
         betas=(0.9, 0.999),
         weight_decay=0.01,
-        paramwise_cfg=dict(
-            custom_keys={'relative_position_bias_table': dict(
-                decay_mult=0.)})))
+    ),
+    paramwise_cfg=dict(
+        custom_keys={'relative_position_bias_table': dict(decay_mult=0.)}))
 
 # learning policy
 param_scheduler = [

diff --git a/...igs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-small_8xb32-210e_coco-256x192.py b/...igs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-small_8xb32-210e_coco-256x192.py
@@ -10,9 +10,9 @@
         lr=5e-4,
         betas=(0.9, 0.999),
         weight_decay=0.01,
-        paramwise_cfg=dict(
-            custom_keys={'relative_position_bias_table': dict(
-                decay_mult=0.)})))
+    ),
+    paramwise_cfg=dict(
+        custom_keys={'relative_position_bias_table': dict(decay_mult=0.)}))
 
 # learning policy
 param_scheduler = [

diff --git a/...igs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-small_8xb32-210e_coco-384x288.py b/...igs/body_2d_keypoint/topdown_heatmap/coco/td-hm_hrformer-small_8xb32-210e_coco-384x288.py
@@ -10,9 +10,9 @@
         lr=5e-4,
         betas=(0.9, 0.999),
         weight_decay=0.01,
-        paramwise_cfg=dict(
-            custom_keys={'relative_position_bias_table': dict(
-                decay_mult=0.)})))
+    ),
+    paramwise_cfg=dict(
+        custom_keys={'relative_position_bias_table': dict(decay_mult=0.)}))
 
 # learning policy
 param_scheduler = [

diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_swin-l-p4-w7_8xb32-210e_coco-256x192.py b/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_swin-l-p4-w7_8xb32-210e_coco-256x192.py
@@ -10,12 +10,13 @@
         lr=5e-4,
         betas=(0.9, 0.999),
         weight_decay=0.01,
-        paramwise_cfg=dict(
-            custom_keys={
-                'absolute_pos_embed': dict(decay_mult=0.),
-                'relative_position_bias_table': dict(decay_mult=0.),
-                'norm': dict(decay_mult=0.)
-            })))
+    ),
+    paramwise_cfg=dict(
+        custom_keys={
+            'absolute_pos_embed': dict(decay_mult=0.),
+            'relative_position_bias_table': dict(decay_mult=0.),
+            'norm': dict(decay_mult=0.)
+        }))
 
 # learning policy
 param_scheduler = [

diff --git a/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_swin-l-p4-w7_8xb32-210e_coco-384x288.py b/configs/body_2d_keypoint/topdown_heatmap/coco/td-hm_swin-l-p4-w7_8xb32-210e_coco-384x288.py
@@ -10,12 +10,13 @@
         lr=5e-4,
         betas=(0.9, 0.999),
         weight_decay=0.01,
-        paramwise_cfg=dict(
-            custom_keys={
-                'absolute_pos_embed': dict(decay_mult=0.),
-                'relative_position_bias_table': dict(decay_mult=0.),
-                'norm': dict(decay_mult=0.)
-            })))
+    ),
+    paramwise_cfg=dict(
+        custom_keys={
+            'absolute_pos_embed': dict(decay_mult=0.),
+            'relative_position_bias_table': dict(decay_mult=0.),
+            'norm': dict(decay_mult=0.)
+        }))
 
 # learning policy
 param_scheduler = [

diff --git a/mmpose/models/backbones/swin.py b/mmpose/models/backbones/swin.py
@@ -1,5 +1,4 @@
 # Copyright (c) OpenMMLab. All rights reserved.
-from collections import OrderedDict
 from copy import deepcopy
 
 import torch
@@ -668,13 +667,11 @@ def init_weights(self, pretrained=None):
                 and self.init_cfg['type'] == 'Pretrained'):
             # Suppress zero_init_residual if use pretrained model.
             logger = get_root_logger()
-            _state_dict = get_state_dict(
+            state_dict = get_state_dict(
                 self.init_cfg['checkpoint'], map_location='cpu')
             if self.convert_weights:
-                # supported loading weight from original repo,
-                _state_dict = swin_converter(_state_dict)
-
-            state_dict = OrderedDict()
+                # supported loading weight from original repo
+                state_dict = swin_converter(state_dict)
 
             # strip prefix of state_dict
             if list(state_dict.keys())[0].startswith('module.'):