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For Mobilenet V4 large #821

Merged
merged 31 commits into from
Feb 27, 2024
Merged

For Mobilenet V4 large #821

merged 31 commits into from
Feb 27, 2024

Commits on Feb 2, 2024

  1. hacks for model small

    @freedomtan
    freedomtan committed Feb 2, 2024
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  2. small -> medium

    @freedomtan
    freedomtan committed Feb 2, 2024
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  3. medium -> large

    @freedomtan
    freedomtan committed Feb 2, 2024
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  4. for quantized models

    @freedomtan
    freedomtan committed Feb 2, 2024
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  5. make float model work again 

    fixed a stupid bug
    @freedomtan
    freedomtan committed Feb 2, 2024
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  6. fix pixel and neuron settings

    @freedomtan
    freedomtan committed Feb 2, 2024
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  7. change preprocessing and label offset

    @freedomtan
    freedomtan committed Feb 2, 2024
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  8. Adding changes for calibration dataset preprocessing

    @mohitmundhragithub @freedomtan
    mohitmundhragithub authored and freedomtan committed Feb 2, 2024
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  9. hacks

    @freedomtan
    freedomtan committed Feb 2, 2024
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  10. clean up

    @freedomtan
    freedomtan committed Feb 2, 2024
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  11. fix pixel backend settings

    @freedomtan
    freedomtan committed Feb 2, 2024
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  12. fix pixel settings & icons for classificaton v2

    @freedomtan
    freedomtan committed Feb 2, 2024
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  13. fix lint issue

    @freedomtan
    freedomtan committed Feb 2, 2024
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Commits on Feb 6, 2024

  1. Revert "Adding changes for calibration dataset preprocessing" 

    This reverts commit c259333.

New model doesn't need these
    @freedomtan
    freedomtan committed Feb 6, 2024
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  2. revert imagenet width and height 

    we'll use #853 to handle different width and height
    @freedomtan
    freedomtan committed Feb 6, 2024
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  3. fix offline for Pixel backend

    @freedomtan
    freedomtan committed Feb 6, 2024
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  4. Merge branch '719/new-edge-tpu-model' into test_new_model_l

    @anhappdev
    anhappdev committed Feb 6, 2024
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  5. Undo update for Windows build

    @anhappdev
    anhappdev committed Feb 6, 2024
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Commits on Feb 8, 2024

  1. update MobilenetV4 settings for TFLite, Neuron, and Pixel

    @freedomtan
    freedomtan committed Feb 8, 2024
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  2. update windows setting for Mobilenet V4

    @freedomtan
    freedomtan committed Feb 8, 2024
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  3. Merge 719/new-edge-tpu-model

    @anhappdev
    anhappdev committed Feb 8, 2024
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  4. Use MobileNetV4 model in Apple devices

    @anhappdev
    anhappdev committed Feb 8, 2024
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Commits on Feb 13, 2024

  1. Fix tflite_settings_windows.pbtxt

    @anhappdev
    anhappdev committed Feb 13, 2024
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  2. Update expected_accuracy

    @anhappdev
    anhappdev committed Feb 13, 2024
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  3. Update expected_accuracy and expected_throughput for Apple devices

    @anhappdev
    anhappdev committed Feb 13, 2024
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  4. Use fp32 model for Windows

    @anhappdev
    anhappdev committed Feb 13, 2024
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  5. Update expected_throughput for Windows

    @anhappdev
    anhappdev committed Feb 13, 2024
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  6. Update expected_throughput for Android

    @anhappdev
    anhappdev committed Feb 13, 2024
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  7. Update S3 provider in android-build-test.yml (#855) 

    * Update S3 provider in android-build-test.yml

* Update env var name

---------

Co-authored-by: Anh <[email protected]>
    @nathanw-mlc @anhappdev
    nathanw-mlc and anhappdev authored Feb 13, 2024
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Commits on Feb 21, 2024

  1. Reduce batch_size for image_classification_offline_v2 in Pixel 6

    @anhappdev
    anhappdev committed Feb 21, 2024
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  2. Merge remote-tracking branch 'origin/master' into test_new_model_l

    @anhappdev
    anhappdev committed Feb 21, 2024
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