Bump timm from 1.0.21 to 1.0.22 in /tests/python_tests (#2965)

Bumps [timm](https://github.com/huggingface/pytorch-image-models) from
1.0.21 to 1.0.22.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/huggingface/pytorch-image-models/releases">timm's
releases</a>.</em></p>
<blockquote>
<h2>Release v1.0.22</h2>
<p>Patch release for priority LayerScale initialization regression in
1.0.21</p>
<h2>What's Changed</h2>
<ul>
<li>Add some weights for efficientnet_x / efficientnet_h models by <a
href="https://github.com/rwightman"><code>@​rwightman</code></a> in <a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2602">huggingface/pytorch-image-models#2602</a></li>
<li>Update result csvs by <a
href="https://github.com/rwightman"><code>@​rwightman</code></a> in <a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2603">huggingface/pytorch-image-models#2603</a></li>
<li>Fix LayerScale ignoring init_values by <a
href="https://github.com/Ilya-Fradlin"><code>@​Ilya-Fradlin</code></a>
in <a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2605">huggingface/pytorch-image-models#2605</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/Ilya-Fradlin"><code>@​Ilya-Fradlin</code></a>
made their first contribution in <a
href="https://redirect.github.com/huggingface/pytorch-image-models/pull/2605">huggingface/pytorch-image-models#2605</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/huggingface/pytorch-image-models/compare/v1.0.21...v1.0.22">https://github.com/huggingface/pytorch-image-models/compare/v1.0.21...v1.0.22</a></p>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/78c3724f4545c0067d0b4d2f7df6337196be01ce"><code>78c3724</code></a>
Release 1.0.22 for LayerScale regression</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/ce73a2c804d5f663009bf2a83984015c155c007a"><code>ce73a2c</code></a>
Refactor layer_scale to use init_values for gamma</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/47c18f4b6419d34ada6e5deba2463727f3b219f2"><code>47c18f4</code></a>
Update version.py to dev</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/d7c75b5909c42034d9688bec33bc8f32105f685d"><code>d7c75b5</code></a>
Update README.md</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/4e5207c7bb6592474ca56e28b2cf85be8f1a550f"><code>4e5207c</code></a>
Update result csvs (<a
href="https://redirect.github.com/huggingface/pytorch-image-models/issues/2603">#2603</a>)</li>
<li><a
href="https://github.com/huggingface/pytorch-image-models/commit/5f1c8b8360905e01293c78e6b00e0d654a182741"><code>5f1c8b8</code></a>
Add some weights for efficientnet_x / efficientnet_h models to validate
varia...</li>
<li>See full diff in <a
href="https://github.com/huggingface/pytorch-image-models/compare/v1.0.21...v1.0.22">compare
view</a></li>
</ul>
</details>
<br />


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tests/python_tests/requirements.txt

@@ -20,7 +20,7 @@ einops==0.8.1
 torchvision==0.17.2; platform_system == "Darwin" and platform_machine == "x86_64"
 torchvision==0.23.0; platform_system != "Darwin" or platform_machine != "x86_64"
 # - openbmb/MiniCPM-V-2
-timm==1.0.21
+timm==1.0.22
 # - openai/whisper-base
 librosa==0.11.0
 soundfile==0.13.1