Fixing broken compatibilities

Author: piotrekno1

docs/compatibility.md

@@ -8,14 +8,14 @@ The table below is generated from `scripts/compat_matrix.py`.
 | `onnx` | `min` (`py3.13` override) | `onnxruntime==1.20.1`, `numpy==2.1.3` | 3.13 |
 | `onnx` | `current` | `onnxruntime==1.20.1`, `numpy==2.1.3` | 3.10, 3.11, 3.12, 3.13, 3.14 |
 | `torch` | `min` | `torch==2.4.1`, `numpy==1.26.4` | 3.10, 3.11, 3.12, 3.13, 3.14 |
-| `torch` | `min` (`py3.13` override) | `torch==2.5.0`, `numpy==2.1.3` | 3.13 |
+| `torch` | `min` (`py3.13` override) | `torch==2.6.0`, `numpy==2.1.3` | 3.13 |
 | `torch` | `min` (`py3.14` override) | `torch==2.5.0`, `numpy==2.1.3` | 3.14 |
 | `torch` | `current` | `torch==2.6.0`, `numpy==2.1.3` | 3.10, 3.11, 3.12, 3.13, 3.14 |
 | `torch` | `current` (`py3.14` override) | `torch==2.10.0`, `numpy==2.1.3` | 3.14 |
-| `timm` | `min` | `torch==2.4.1`, `timm==1.0.11`, `numpy==1.26.4` | 3.10, 3.11, 3.12, 3.13, 3.14 |
-| `timm` | `min` (`py3.13` override) | `torch==2.5.0`, `timm==1.0.11`, `numpy==2.1.3` | 3.13 |
-| `timm` | `min` (`py3.14` override) | `torch==2.5.0`, `timm==1.0.11`, `numpy==2.1.3` | 3.14 |
-| `timm` | `current` | `torch==2.6.0`, `timm==1.0.15`, `numpy==2.1.3` | 3.10, 3.11, 3.12, 3.13, 3.14 |
-| `timm` | `current` (`py3.14` override) | `torch==2.10.0`, `timm==1.0.15`, `numpy==2.1.3` | 3.14 |
+| `timm` | `min` | `torch==2.4.1`, `torchvision==0.19.1`, `timm==1.0.11`, `numpy==1.26.4` | 3.10, 3.11, 3.12, 3.13, 3.14 |
+| `timm` | `min` (`py3.13` override) | `torch==2.6.0`, `torchvision==0.21.0`, `timm==1.0.11`, `numpy==2.1.3` | 3.13 |
+| `timm` | `min` (`py3.14` override) | `torch==2.5.0`, `torchvision==0.19.1`, `timm==1.0.11`, `numpy==2.1.3` | 3.14 |
+| `timm` | `current` | `torch==2.6.0`, `torchvision==0.21.0`, `timm==1.0.15`, `numpy==2.1.3` | 3.10, 3.11, 3.12, 3.13, 3.14 |
+| `timm` | `current` (`py3.14` override) | `torch==2.10.0`, `torchvision==0.25.0`, `timm==1.0.15`, `numpy==2.1.3` | 3.14 |
 | `tensorflow` | `min` | `tensorflow==2.16.1`, `keras==3.3.3`, `numpy==1.26.4` | 3.10, 3.11, 3.12 |
 | `tensorflow` | `current` | `tensorflow==2.18.0`, `keras==3.8.0`, `numpy==2.0.2` | 3.10, 3.11, 3.12 |

scripts/compat_matrix.py

@@ -16,8 +16,18 @@
         "current": ["torch==2.6.0", "numpy==2.1.3"],
     },
     "timm": {
-        "min": ["torch==2.4.1", "timm==1.0.11", "numpy==1.26.4"],
-        "current": ["torch==2.6.0", "timm==1.0.15", "numpy==2.1.3"],
+        "min": [
+            "torch==2.4.1",
+            "torchvision==0.19.1",
+            "timm==1.0.11",
+            "numpy==1.26.4",
+        ],
+        "current": [
+            "torch==2.6.0",
+            "torchvision==0.21.0",
+            "timm==1.0.15",
+            "numpy==2.1.3",
+        ],
     },
     "tensorflow": {
         "min": ["tensorflow==2.16.1", "keras==3.3.3", "numpy==1.26.4"],
@@ -41,7 +51,7 @@
     },
     "torch": {
         "min": {
-            "3.13": ["torch==2.5.0", "numpy==2.1.3"],
+            "3.13": ["torch==2.6.0", "numpy==2.1.3"],
             "3.14": ["torch==2.5.0", "numpy==2.1.3"],
         },
         "current": {
@@ -50,11 +60,26 @@
     },
     "timm": {
         "min": {
-            "3.13": ["torch==2.5.0", "timm==1.0.11", "numpy==2.1.3"],
-            "3.14": ["torch==2.5.0", "timm==1.0.11", "numpy==2.1.3"],
+            "3.13": [
+                "torch==2.6.0",
+                "torchvision==0.21.0",
+                "timm==1.0.11",
+                "numpy==2.1.3",
+            ],
+            "3.14": [
+                "torch==2.5.0",
+                "torchvision==0.19.1",
+                "timm==1.0.11",
+                "numpy==2.1.3",
+            ],
         },
         "current": {
-            "3.14": ["torch==2.10.0", "timm==1.0.15", "numpy==2.1.3"],
+            "3.14": [
+                "torch==2.10.0",
+                "torchvision==0.25.0",
+                "timm==1.0.15",
+                "numpy==2.1.3",
+            ],
         }
     },
 }