{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "#### 迁移gpt模型的embedding层,插入两个新的token\n",
    "dict = torch.load(r\"D:\\pyprojs\\GPT-SoVITSs\\fork\\GPT-SoVITS\\GPT_SoVITS\\pretrained_models\\s1bert25hz-2kh-longer-epoch=68e-step=50232-2.ckpt\",map_location=torch.device('cpu'))\n",
    "dict[\"weight\"][\"model.ar_text_embedding.word_embeddings.weight\"].shape\n",
    "# 0~94保持不动，95~向后移动两位，新的95 96随机初始化\n",
    "# 一共512列，embedding_dim=5\n",
    "first_part = dict[\"weight\"][\"model.ar_text_embedding.word_embeddings.weight\"][:95,:]\n",
    "second_part = dict[\"weight\"][\"model.ar_text_embedding.word_embeddings.weight\"][95:-2,:]\n",
    "new_weight = torch.cat([first_part,second_part, torch.randn(2, 512)],dim=0)\n",
    "dict[\"weight\"][\"model.ar_text_embedding.word_embeddings.weight\"] = new_weight\n",
    "torch.save(dict,r\"D:\\pyprojs\\GPT-SoVITSs\\fork\\GPT-SoVITS\\GPT_SoVITS\\pretrained_models\\s1bert25hz-hs_model.ckpt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "dict2 = torch.load(r\"D:\\pyprojs\\GPT-SoVITSs\\fork\\GPT-SoVITS\\GPT_SoVITS\\pretrained_models\\s2G488k-legacy.pth\",map_location=torch.device('cpu'))\n",
    "dict2[\"weight\"][\"enc_p.text_embedding.weight\"].shape\n",
    "# 0~94保持不动，95~向后移动两位，新的95 96随机初始化\n",
    "first_part = dict2[\"weight\"][\"enc_p.text_embedding.weight\"][:95,:]\n",
    "second_part = dict2[\"weight\"][\"enc_p.text_embedding.weight\"][95:,:]\n",
    "new_weight = torch.cat([first_part,torch.zeros(2,192),second_part],dim=0)\n",
    "dict2[\"weight\"][\"enc_p.text_embedding.weight\"] = new_weight\n",
    "torch.save(dict2,r\"D:\\pyprojs\\GPT-SoVITSs\\fork\\GPT-SoVITS\\GPT_SoVITS\\pretrained_models\\s2G488k.pth\")"
   ]
  }
 ],
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   "display_name": "vits",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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