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(Re)quantize existing QKeras model with model_quantize #19

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@thesps thesps commented Apr 1, 2020

Add to model_quantize the capability to accept an existing qkeras model and return a model with a different quantizer_config.

This could be used, for example, to train at higher precision then initialize a lower precision model with transfer_weights=True to speedup convergence of the lower precision model.

@googlebot googlebot added the cla: yes contribution license agreement signed label Apr 1, 2020
@zhuangh zhuangh self-assigned this Apr 2, 2020
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zhuangh commented Apr 2, 2020

Hello @thesps, thank you for the PR! Could you also add file to demonstrate your usage and tests? I want more information to review this PR.

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zhuangh commented Apr 2, 2020

Hello @thesps, thank you for the PR! Could you also add file to demonstrate your usage and tests? I want more information to review this PR.

@zhuangh zhuangh added the ready to pull to trigger copybara-service label Apr 25, 2020
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zhuangh commented Apr 25, 2020

Hi, there are conflicts in utils.py. Please solve if you want to proceed. thanks!

@zhuangh zhuangh removed the ready to pull to trigger copybara-service label Apr 28, 2020
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