Upload insert_symbol.ipynb

insert_symbol.ipynb

@@ -0,0 +1,61 @@
+{
+ "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\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "vits",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}