o ¡¿¯iÛã @s6ddlZ   d dejjdededed ef d d „ZdS) éNédçð?çš™™™™™á?ÚmodelÚ iterationÚdurationÚetaÚ scale_factorc Csb||d}|||}| ¡D]}|jdur.|j ¡}|t |¡ |j¡} |j| 7_qdS)aAdds noise from a standard normal distribution to the gradients. The standard deviation (`sigma`) is controlled by the three hyper-parameters below. `sigma` goes to zero (no noise) with more iterations. Args: model: Model. iteration: Number of iterations. duration: {100, 1000}: Number of durations to control the interval of the `sigma` change. eta: {0.01, 0.3, 1.0}: The magnitude of `sigma`. scale_factor: {0.55}: The scale of `sigma`. éN)Ú parametersÚgradÚsizeÚtorchÚrandnÚtoÚdevice) rrrrr ÚintervalÚsigmaÚparamÚ_shapeÚnoise©rúZ/home/ubuntu/.local/lib/python3.10/site-packages/espnet2/torch_utils/add_gradient_noise.pyÚadd_gradient_noises     €ür)rrr)rÚnnÚModuleÚintÚfloatrrrrrÚsûÿþýüû