Summary: Pico2 demo of simple neural network (MNIST) #15186
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15186
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New FailuresAs of commit f08f1af with merge base 1f114f1 ( NEW FAILURES - The following jobs have failed:
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Test Plan: 1. Setup Conda 2. examples/arm/setup.sh --i-agree-to-the-contained-eula; source examples/ arm/ethos-u-scratch/setup_path.sh 3. cd examples/raspberry_pi/pico2 4. python export_mlp_mnist.py; ./build_firmware_pico.sh --model=balanced_tiny_mlp_mnist.pte Reviewers: Subscribers: Tasks: Tags:
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Test Plan: 1. Setup Conda 2. examples/arm/setup.sh --i-agree-to-the-contained-eula; source examples/ arm/ethos-u-scratch/setup_path.sh 3. cd examples/raspberry_pi/pico2 4. python export_mlp_mnist.py 5. ./build_firmware_pico.sh --model=balanced_tiny_mlp_mnist.pte Results: PREDICTED: 4 (Expected: 4) ✅ CORRECT! ================================================== === Digit 7 === > > ############# > ############# > #### > #### > #### > #### > #### > #### > Input stats: 159 white pixels out of 784 total Running neural network inference... ✅ Neural network results: Digit 0: 370.000 Digit 1: 0.000 Digit 2: -3.000 Digit 3: -3.000 Digit 4: 860.000 Digit 5: -3.000 Digit 6: -3.000 Digit 7: 1640.000 ← PREDICTED Digit 8: -3.000 Digit 9: -3.000 � PREDICTED: 7 (Expected: 7) ✅ CORRECT! ================================================== � All tests complete! PyTorch neural network works on Pico2! Reviewers: Subscribers: Tasks: Tags: ### Summary [PLEASE REMOVE] See [CONTRIBUTING.md's Pull Requests](https://github.com/pytorch/executorch/blob/main/CONTRIBUTING.md#pull-requests) for ExecuTorch PR guidelines. [PLEASE REMOVE] If this PR closes an issue, please add a `Fixes #<issue-id>` line. [PLEASE REMOVE] If this PR introduces a fix or feature that should be the upcoming release notes, please add a "Release notes: <area>" label. For a list of available release notes labels, check out [CONTRIBUTING.md's Pull Requests](https://github.com/pytorch/executorch/blob/main/CONTRIBUTING.md#pull-requests). ### Test plan [PLEASE REMOVE] How did you test this PR? Please write down any manual commands you used and note down tests that you have written if applicable. Co-authored-by: Github Executorch <[email protected]> (cherry picked from commit 9b67fea)
Cherry picking #15186The cherry pick PR is at #15196 The following tracker issues are updated: Details for Dev Infra teamRaised by workflow job |
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Test Plan:
Results:
PREDICTED: 4 (Expected: 4) ✅ CORRECT!
==================================================
=== Digit 7 ===
Input stats: 159 white pixels out of 784 total
Running neural network inference...
✅ Neural network results:
Digit 0: 370.000
Digit 1: 0.000
Digit 2: -3.000
Digit 3: -3.000
Digit 4: 860.000
Digit 5: -3.000
Digit 6: -3.000
Digit 7: 1640.000 ← PREDICTED
Digit 8: -3.000
Digit 9: -3.000
� PREDICTED: 7 (Expected: 7) ✅ CORRECT!
==================================================
� All tests complete! PyTorch neural network works on Pico2!
Reviewers:
Subscribers:
Tasks:
Tags:
Summary
[PLEASE REMOVE] See CONTRIBUTING.md's Pull Requests for ExecuTorch PR guidelines.
[PLEASE REMOVE] If this PR closes an issue, please add a
Fixes #<issue-id>line.[PLEASE REMOVE] If this PR introduces a fix or feature that should be the upcoming release notes, please add a "Release notes: " label. For a list of available release notes labels, check out CONTRIBUTING.md's Pull Requests.
Test plan
[PLEASE REMOVE] How did you test this PR? Please write down any manual commands you used and note down tests that you have written if applicable.