Merge branch 'main' into fix_logging

Author: metascroy

docs/source/getting-started.md

@@ -86,7 +86,17 @@ runtime = Runtime.get()
 input_tensor: torch.Tensor = torch.randn(1, 3, 224, 224)
 program = runtime.load_program("model.pte")
 method = program.load_method("forward")
-outputs: List[torch.Tensor] = method.execute([input_tensor])
+output: List[torch.Tensor] = method.execute([input_tensor])
+print("Run succesfully via executorch")
+
+from torchvision.models.mobilenetv2 import MobileNet_V2_Weights
+import torchvision.models as models
+
+eager_reference_model = models.mobilenetv2.mobilenet_v2(weights=MobileNet_V2_Weights.DEFAULT).eval()
+eager_reference_output = eager_reference_model(input_tensor)
+
+print("Comparing against original PyTorch module")
+print(torch.allclose(output[0], eager_reference_output, rtol=1e-3, atol=1e-5))
 ```
 
 

docs/source/using-executorch-building-from-source.md

@@ -29,6 +29,7 @@ Windows (x86_64)
   - Otherwise, Python's built-in virtual environment manager `python venv` is a good alternative.
 * `g++` version 7 or higher, `clang++` version 5 or higher, or another
   C++17-compatible toolchain.
+* `python` version 3.10-3.12 
 
 Note that the cross-compilable core runtime code supports a wider range of
 toolchains, down to C++17. See the [Runtime Overview](./runtime-overview.md) for