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Analog AI Concepts
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Analog DNN Training
Analog DNN Inference
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References
Noise models to apply to converted weight values during analog inference.
BaseNoiseModel
BaseNoiseModel.apply_drift_noise()
BaseNoiseModel.apply_drift_noise_to_conductance()
BaseNoiseModel.apply_noise()
BaseNoiseModel.apply_programming_noise()
BaseNoiseModel.apply_programming_noise_to_conductance()
BaseNoiseModel.generate_drift_coefficients()
StateIndependentNoiseModel
StateIndependentNoiseModel.apply_drift_noise_to_conductance()
StateIndependentNoiseModel.apply_programming_noise_to_conductance()
StateIndependentNoiseModel.generate_drift_coefficients()
FusionImportNoiseModel
FusionImportNoiseModel.apply_drift_noise()
FusionImportNoiseModel.apply_noise()
FusionImportNoiseModel.apply_programming_noise()
PCMLikeNoiseModel
PCMLikeNoiseModel.apply_drift_noise_to_conductance()
PCMLikeNoiseModel.apply_programming_noise_to_conductance()
PCMLikeNoiseModel.generate_drift_coefficients()
ReRamWan2022NoiseModel
ReRamWan2022NoiseModel.apply_drift_noise_to_conductance()
ReRamWan2022NoiseModel.apply_programming_noise_to_conductance()
ReRamWan2022NoiseModel.generate_drift_coefficients()