Patch pytorch-cpu/gpu for 2.4.1 increased compatibility

[hmaarrfk]

xref:

• pytorch-gpu 2.4.1 package for linux-64, python 3.10, CUDA 12.0 variant doesn't exist pytorch-cpu-feedstock#338
• 2.4.1 backports pytorch-cpu-feedstock#341

---

• Used a static YAML file for the patch if possible (instructions).
• Only wrote code directly into generate_patch_json.py if absolutely necessary.
• Ran pre-commit run -a and ensured all files pass the linting checks.
• Ran python show_diff.py and posted the output as part of the PR.
• Modifications won't affect packages built in the future.

[conda-forge-admin]

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe/meta.yaml) and found it was in an excellent condition.

[hmaarrfk]

I don’t think I have the syntax quite right.

I would be ok just patching the 5 series to be honest.

[h-vetinari]

I would be ok just patching the 5 series to be honest.

2.5 is already correct though? Or do you mean old build numbers? I wouldn't bother with those, we want people to use the most recent build numbers anyway.

[hmaarrfk]

I mean the 5, 105, 205, 305 build numbers.

[hmaarrfk]

 python show_diff.py  --use-cache --subdirs linux-64



================================================================================
================================================================================
linux-64
linux-64::pytorch-gpu-2.4.1-cuda120py39h4ea2c68_303.conda
-    "pytorch 2.4.1 cuda120_py39h2e0a0f3_303"
+    "pytorch 2.4.1 cuda120_*_303"
linux-64::pytorch-gpu-2.4.1-cuda118py310h4ecd1fc_301.conda
-    "pytorch 2.4.1 cuda118_py310hd65b3e3_301"
+    "pytorch 2.4.1 cuda118_*_301"
linux-64::pytorch-gpu-2.4.1-cuda120py312h4ea2c68_301.conda
-    "pytorch 2.4.1 cuda120_py312hf8d5e09_301"
+    "pytorch 2.4.1 cuda120_*_301"
linux-64::pytorch-cpu-2.4.1-cpu_mkl_py39h09a6fac_103.conda
-    "pytorch 2.4.1 cpu_mkl_py39ha1b8702_103"
+    "pytorch 2.4.1 cpu_*_103"
linux-64::pytorch-cpu-2.4.1-cpu_generic_py39h6ea6555_5.conda
-    "pytorch 2.4.1 cpu_generic_py39hfbb2c50_5"
+    "pytorch 2.4.1 cpu_*_5"
linux-64::pytorch-cpu-2.4.1-cpu_mkl_py39hd61e0f4_105.conda
-    "pytorch 2.4.1 cpu_mkl_py39hc7b1cc9_105"
+    "pytorch 2.4.1 cpu_*_105"
linux-64::pytorch-gpu-2.4.1-cuda118py310h9e2aef1_304.conda
-    "pytorch 2.4.1 cuda118_py310hb8822b9_304"
+    "pytorch 2.4.1 cuda118_*_304"
linux-64::pytorch-gpu-2.4.1-cuda120py311h7ec93fb_304.conda
-    "pytorch 2.4.1 cuda120_py311h76727f1_304"
+    "pytorch 2.4.1 cuda120_*_304"
linux-64::pytorch-gpu-2.4.1-cuda118py312h9e2aef1_305.conda
-    "pytorch 2.4.1 cuda118_py312h3938941_305"
+    "pytorch 2.4.1 cuda118_*_305"
linux-64::pytorch-cpu-2.4.1-cpu_generic_py310h7a53447_0.conda
-    "pytorch 2.4.1 cpu_generic_py310hcbfaffa_0"
+    "pytorch 2.4.1 cpu_*_0"
linux-64::pytorch-gpu-2.4.1-cuda118py311h4ecd1fc_303.conda
-    "pytorch 2.4.1 cuda118_py311h156befe_303"
+    "pytorch 2.4.1 cuda118_*_303"
linux-64::pytorch-cpu-2.4.1-cpu_mkl_py39h09a6fac_101.conda
-    "pytorch 2.4.1 cpu_mkl_py39h2fcb8f5_101"
+    "pytorch 2.4.1 cpu_*_101"
linux-64::pytorch-cpu-2.4.1-cpu_mkl_py312h09a6fac_102.conda
-    "pytorch 2.4.1 cpu_mkl_py312ha1f5ba4_102"
+    "pytorch 2.4.1 cpu_*_102"
linux-64::pytorch-cpu-2.4.1-cpu_generic_py39h7a53447_3.conda
-    "pytorch 2.4.1 cpu_generic_py39hbaadbe5_3"
+    "pytorch 2.4.1 cpu_*_3"
linux-64::pytorch-gpu-2.4.1-cuda120py39h7ec93fb_305.conda
-    "pytorch 2.4.1 cuda120_py39h752776e_305"
+    "pytorch 2.4.1 cuda120_*_305"
linux-64::pytorch-gpu-2.4.1-cuda118py310h4ecd1fc_300.conda
-    "pytorch 2.4.1 cuda118_py310h22ea9a0_300"
+    "pytorch 2.4.1 cuda118_*_300"
linux-64::pytorch-gpu-2.4.1-cuda120py312h4ea2c68_302.conda
-    "pytorch 2.4.1 cuda120_py312hf8d5e09_302"
+    "pytorch 2.4.1 cuda120_*_302"
linux-64::pytorch-cpu-2.4.1-cpu_generic_py310h6ea6555_4.conda
-    "pytorch 2.4.1 cpu_generic_py310he25a6ea_4"
+    "pytorch 2.4.1 cpu_*_4"
linux-64::pytorch-cpu-2.4.1-cpu_generic_py312h7a53447_1.conda
-    "pytorch 2.4.1 cpu_generic_py312h916ba9d_1"
+    "pytorch 2.4.1 cpu_*_1"
linux-64::pytorch-cpu-2.4.1-cpu_mkl_py313hd61e0f4_104.conda
-    "pytorch 2.4.1 cpu_mkl_py313hb07d3e6_104"
+    "pytorch 2.4.1 cpu_*_104"
linux-64::pytorch-cpu-2.4.1-cpu_generic_py313h7a53447_2.conda
-    "pytorch 2.4.1 cpu_generic_py313h30720f7_2"
+    "pytorch 2.4.1 cpu_*_2"
linux-64::pytorch-gpu-2.4.1-cuda118py312h4ecd1fc_302.conda
-    "pytorch 2.4.1 cuda118_py312h1e5d2cd_302"
+    "pytorch 2.4.1 cuda118_*_302"
linux-64::pytorch-gpu-2.4.1-cuda120py312h4ea2c68_300.conda
-    "pytorch 2.4.1 cuda120_py312h257e401_300"
+    "pytorch 2.4.1 cuda120_*_300"
linux-64::pytorch-cpu-2.4.1-cpu_mkl_py312h09a6fac_100.conda
-    "pytorch 2.4.1 cpu_mkl_py312hf535c18_100"
+    "pytorch 2.4.1 cpu_*_100"

[h-vetinari]

Thanks!