Consolidate overloads in torchlib (#2604)

The goal is to have no overloads and remove the PyTorch dispatcher.
Right now there are still the following ops that need to be addressed:

```
Registering private function: aten::as_strided
Registering private function: aten::embedding_bag
Registering private function: aten::embedding_bag.padding_idx
Registering overload for function: aten::index.Tensor
Registering overload for function: aten::_unsafe_index.Tensor
Registering overload for function: aten::index_put
```

I did a bit of cleaning up in tests and torchlib as well.

#2580

---------

Signed-off-by: Justin Chu <[email protected]>

Author: justinchuby

noxfile.py

@@ -29,9 +29,9 @@
     "ml-dtypes",
 )
 ONNX = "onnx==1.17"
-ONNX_RUNTIME = "onnxruntime==1.20.1"
-PYTORCH = "torch==2.5.1"
-TORCHVISON = "torchvision==0.20.1"
+ONNX_RUNTIME = "onnxruntime==1.23.0"
+PYTORCH = "torch==2.7.1"
+TORCHVISON = "torchvision==0.22.1"
 TRANSFORMERS = "transformers==4.37.2"
 ONNX_RUNTIME_NIGHTLY_DEPENDENCIES = (
     "flatbuffers",

onnxscript/backend/onnx_export_test.py

@@ -84,6 +84,7 @@ def skip(pattern: str | Pattern, reason: str, *, condition: bool = True):
     ),
     skip(r"^test_ai_onnx_ml_label_encoder", "ONNX Runtime does not support Opset 21 at 1.17"),
     skip(r"^test_ai_onnx_ml_tree_ensemble", "Opset 23 is not supported"),
+    skip(r"^test_attention", "ONNX Runtime 1.23 fails on these tests"),
 )
 
 if sys.platform == "win32":