init (not checked bat script yet)

safetensors.ipynb

@@ -0,0 +1,84 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "root = \"model_assets/jvnv-F1\"\n",
+    "pth_files = [os.path.join(root, f) for f in os.listdir(root) if f.endswith(\".pth\")]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "\n",
+    "model_name = \"G_0.pth\"\n",
+    "model = torch.load(f\"pretrained/{model_name}\", map_location=torch.device(\"cpu\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "enc_p.emo_proj.bias\n",
+      "enc_p.emo_q_proj.weight\n",
+      "enc_p.emo_q_proj.bias\n"
+     ]
+    }
+   ],
+   "source": [
+    "from safetensors.torch import save_file\n",
+    "state_dict = model[\"model\"]\n",
+    "new_dict = {}\n",
+    "for k in state_dict.keys():\n",
+    "    if k.startswith(\"enc_p.emo\"):\n",
+    "        print(k)\n",
+    "    else:\n",
+    "        new_dict[k] = state_dict[k]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "save_file(new_dict, f\"pretrained/{model_name.replace('.pth', '.safetensors')}\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "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": "3.10.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}