suggestions and fixes from the PR

2 files changed, 3 insertions, 14 deletions

diff --git a/extensions-builtin/SwinIR/swinir_model_arch.py b/extensions-builtin/SwinIR/swinir_model_arch.py
index de195d9b..73e37cfa 100644
--- a/extensions-builtin/SwinIR/swinir_model_arch.py
+++ b/extensions-builtin/SwinIR/swinir_model_arch.py
@@ -644,17 +644,13 @@ class SwinIR(nn.Module):
     """
 
     def __init__(self, img_size=64, patch_size=1, in_chans=3,
-                 embed_dim=96, depths=None, num_heads=None,
+                 embed_dim=96, depths=(6, 6, 6, 6), num_heads=(6, 6, 6, 6),
                  window_size=7, mlp_ratio=4., qkv_bias=True, qk_scale=None,
                  drop_rate=0., attn_drop_rate=0., drop_path_rate=0.1,
                  norm_layer=nn.LayerNorm, ape=False, patch_norm=True,
                  use_checkpoint=False, upscale=2, img_range=1., upsampler='', resi_connection='1conv',
                  **kwargs):
         super(SwinIR, self).__init__()
-
-        depths = depths or [6, 6, 6, 6]
-        num_heads = num_heads or [6, 6, 6, 6]
-
         num_in_ch = in_chans
         num_out_ch = in_chans
         num_feat = 64
diff --git a/extensions-builtin/SwinIR/swinir_model_arch_v2.py b/extensions-builtin/SwinIR/swinir_model_arch_v2.py
index 15777af9..3ca9be78 100644
--- a/extensions-builtin/SwinIR/swinir_model_arch_v2.py
+++ b/extensions-builtin/SwinIR/swinir_model_arch_v2.py
@@ -74,12 +74,9 @@ class WindowAttention(nn.Module):
     """

 

     def __init__(self, dim, window_size, num_heads, qkv_bias=True, attn_drop=0., proj_drop=0.,

-                 pretrained_window_size=None):

+                 pretrained_window_size=(0, 0)):

 

         super().__init__()

-

-        pretrained_window_size = pretrained_window_size or [0, 0]

-

         self.dim = dim

         self.window_size = window_size  # Wh, Ww

         self.pretrained_window_size = pretrained_window_size

@@ -701,17 +698,13 @@ class Swin2SR(nn.Module):
     """

 

     def __init__(self, img_size=64, patch_size=1, in_chans=3,

-                 embed_dim=96, depths=None, num_heads=None,

+                 embed_dim=96, depths=(6, 6, 6, 6), num_heads=(6, 6, 6, 6),

                  window_size=7, mlp_ratio=4., qkv_bias=True, 

                  drop_rate=0., attn_drop_rate=0., drop_path_rate=0.1,

                  norm_layer=nn.LayerNorm, ape=False, patch_norm=True,

                  use_checkpoint=False, upscale=2, img_range=1., upsampler='', resi_connection='1conv',

                  **kwargs):

         super(Swin2SR, self).__init__()

-

-        depths = depths or [6, 6, 6, 6]

-        num_heads = num_heads or [6, 6, 6, 6]

-

         num_in_ch = in_chans

         num_out_ch = in_chans

         num_feat = 64