IA3 support

import lyco_helpers

import network

import network_lyco

class ModuleTypeIa3(network.ModuleType):

    def create_module(self, net: network.Network, weights: network.NetworkWeights):

        if all(x in weights.w for x in ["weight"]):

            return NetworkModuleIa3(net, weights)

        return None

class NetworkModuleIa3(network_lyco.NetworkModuleLyco):

    def __init__(self,  net: network.Network, weights: network.NetworkWeights):

        super().__init__(net, weights)

        self.w = weights.w["weight"]

        self.on_input = weights.w["on_input"].item()

    def calc_updown(self, orig_weight):

        w = self.w.to(orig_weight.device, dtype=orig_weight.dtype)

        output_shape = [w.size(0), orig_weight.size(1)]

        if self.on_input:

            output_shape.reverse()

        else:

            w = w.reshape(-1, 1)

        updown = orig_weight * w

        return self.finalize_updown(updown, orig_weight, output_shape)

import network

import network_lora

import network_hada

import network_ia3

import torch

from typing import Union

module_types = [

    network_lora.ModuleTypeLora(),

    network_hada.ModuleTypeHada(),

    network_ia3.ModuleTypeIa3(),

]