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Default Export for Mv2 with Real Image Input #13019
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    | 🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13019
 Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New Failures, 1 Pending, 1 Unrelated FailureAs of commit 7883a76 with merge base 5797608 ( NEW FAILURES - The following jobs have failed:
 
 BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures 
 
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| @pytorchbot label "release notes: none" | 
              
                    larryliu0820
  
              
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### Summary [PR](#13019) forgot to change the return example input to use the default samoyed dog image when using real inputs. This PR fixes that typo. ### Test plan Now the example runners that use the `mv2` export contain the dog image in the pte by default.
    
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### Summary When testing executorch inference runners on real MCUs, it's helpful if the default export of the model includes a real input (rather than just filled with random values or all 1.0s). This PR does this for the mobilenet_v2 model, following the steps from the tutorial [here](https://pytorch.org/hub/pytorch_vision_mobilenet_v2/). ### Test plan Ran `python -m examples.portable.scripts.export --model_name="mv2"` and saw the PTE now contains values associated with the `dog.jpg` image.
    
  agrima1304 
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) ### Summary [PR](pytorch#13019) forgot to change the return example input to use the default samoyed dog image when using real inputs. This PR fixes that typo. ### Test plan Now the example runners that use the `mv2` export contain the dog image in the pte by default.
  
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Summary
When testing executorch inference runners on real MCUs, it's helpful if the default export of the model includes a real input (rather than just filled with random values or all 1.0s). This PR does this for the mobilenet_v2 model, following the steps from the tutorial here.
Test plan
Ran
python -m examples.portable.scripts.export --model_name="mv2"and saw the PTE now contains values associated with thedog.jpgimage.