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Optional power-law drift during training #158

Merged
merged 1 commit into from Mar 10, 2021
Merged

Optional power-law drift during training #158

merged 1 commit into from Mar 10, 2021

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maljoras
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#155

Description

Enables (optional) power-law drift during analog training, which can be conductance dependent and have device-to-device variability. If present, the drift will be applied once per minibatch only, just like the optional device-to-device variable diffusion or decay.

Details

The drift model is based on Oh et al (2019), see https://ieeexplore.ieee.org/document/8753712

@maljoras maljoras changed the title Drift python addition Optional power-law conductance drift during training Mar 10, 2021
@maljoras maljoras changed the title Optional power-law conductance drift during training Optional power-law drift during training Mar 10, 2021
@diego-plan9
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Merging as the pylint failure will be solved in an upcoming PR.

@diego-plan9 diego-plan9 merged commit 8e1db65 into IBM:master Mar 10, 2021
@diego-plan9 diego-plan9 mentioned this pull request Mar 11, 2021
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2 participants