From 550256db1ce18778a9d56ff343d844c61b9f9b83 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Wed, 10 May 2023 11:19:16 +0300
Subject: ruff manual fixes

---
 extensions-builtin/SwinIR/swinir_model_arch.py    |  6 +++++-
 extensions-builtin/SwinIR/swinir_model_arch_v2.py | 11 +++++++++--
 2 files changed, 14 insertions(+), 3 deletions(-)

(limited to 'extensions-builtin/SwinIR')

diff --git a/extensions-builtin/SwinIR/swinir_model_arch.py b/extensions-builtin/SwinIR/swinir_model_arch.py
index 863f42db..75f7bedc 100644
--- a/extensions-builtin/SwinIR/swinir_model_arch.py
+++ b/extensions-builtin/SwinIR/swinir_model_arch.py
@@ -644,13 +644,17 @@ class SwinIR(nn.Module):
     """
 
     def __init__(self, img_size=64, patch_size=1, in_chans=3,
-                 embed_dim=96, depths=[6, 6, 6, 6], num_heads=[6, 6, 6, 6],
+                 embed_dim=96, depths=None, num_heads=None,
                  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 0e28ae6e..d4c0b0da 100644
--- a/extensions-builtin/SwinIR/swinir_model_arch_v2.py
+++ b/extensions-builtin/SwinIR/swinir_model_arch_v2.py
@@ -74,9 +74,12 @@ class WindowAttention(nn.Module):
     """
 
     def __init__(self, dim, window_size, num_heads, qkv_bias=True, attn_drop=0., proj_drop=0.,
-                 pretrained_window_size=[0, 0]):
+                 pretrained_window_size=None):
 
         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
@@ -698,13 +701,17 @@ class Swin2SR(nn.Module):
     """
 
     def __init__(self, img_size=64, patch_size=1, in_chans=3,
-                 embed_dim=96, depths=[6, 6, 6, 6], num_heads=[6, 6, 6, 6],
+                 embed_dim=96, depths=None, num_heads=None,
                  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
-- 
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