tltorch._tensor_dropout.tucker_dropout

tltorch._tensor_dropout.tucker_dropout(module, p)[source]

Tucker Dropout

Parameters:	moduletltorch.TensorModule the tensor module parametrized by the tensor decomposition to which to apply tensor dropout pfloat dropout probability if 0, no dropout is applied if 1, all the components but 1 are dropped in the latent space
Returns:	TensorModule the module to which tensor dropout has been attached

Examples

>>> trl = tltorch.TuckerTRL((10, 10), (10, ), rank='same')
>>> trl = tucker_dropout(trl, p=0.5)
>>> remove_tucker_dropout(trl)