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Author: larryliu0820

exir/verification/verifier.py

@@ -125,11 +125,11 @@ def check_valid_op(self, op):
 Operator {op.__module__}.{op.__name__} is not in Core ATen opset (https://pytorch.org/docs/stable/torch.compiler_ir.html#core-aten-ir)."
 There are a few things to try:
 1. You can proceed with `to_edge(compile_config=EdgeCompileConfig(_core_aten_ops_exception_list=[torch.ops.{str(op)}]))`.
-   Please make sure that the backends you are planning to lower to is able to handle {str(op)}, or you have a corresponding kernel linked to your runtime.
+   Please make sure that the backend(s) you are planning to lower to is able to handle {str(op)}, or you have a corresponding kernel linked to your runtime.
 
-2. Sometimes inference and training gives slightly different ops. Try adding `with torch.no_grad():` context manager if you don't care about training.
+2. Sometimes inference and training gives slightly different op set. Try adding `with torch.no_grad():` context manager if you are export for inference only.
 
-3. If the error persists after 2, this is likely caused by torch.export() + core ATen decomposition produce unexpected operator set on your model. 
+3. If the error persists after 2, this is likely caused by torch.export() + core ATen decomposition producing unexpected operators for your model. 
    If you believe this operator should be included into core ATen opset, please create an issue in https://github.com/pytorch/pytorch/issues and add `module: core aten` tag.
                         """
                     )