diff --git a/safetensors.ipynb b/safetensors.ipynb
deleted file mode 100644
index 73f04fc..0000000
--- a/safetensors.ipynb
+++ /dev/null
@@ -1,154 +0,0 @@
-{
- "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')}\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "from glob import glob\n",
- "root_dir = \"model_assets\"\n",
- "\n",
- "safetensors_files = glob(f\"{root_dir}/**/*.safetensors\", recursive=True)\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# 推論に不要なenc_qを消し忘れていたのを削除\n",
- "\n",
- "from safetensors import safe_open\n",
- "from safetensors.torch import save_file\n",
- "\n",
- "for path in safetensors_files:\n",
- " print(path)\n",
- " tensors = {}\n",
- " with safe_open(path, framework=\"pt\", device=\"cpu\") as f:\n",
- " for key in f.keys():\n",
- " if key.startswith(\"enc_q\"):\n",
- " print(key)\n",
- " continue\n",
- " tensors[key] = f.get_tensor(key)\n",
- " save_file(tensors, path.replace(\".safetensors\", \".new.safetensors\"))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "enc_p.xvec_proj.weight enc_p.style_proj.weight\n",
- "enc_p.xvec_proj.bias enc_p.style_proj.bias\n"
- ]
- }
- ],
- "source": [
- "# pthファイルを推論用safetensorsに変換\n",
- "from safetensors.torch import save_file\n",
- "from safetensors import safe_open\n",
- "import torch\n",
- "\n",
- "pth_path = \"model_assets/jvnv-F1/release_7000.pth\"\n",
- "pth_weight = torch.load(pth_path, map_location=torch.device(\"cpu\"))\n",
- "new_dict = {}\n",
- "for key in pth_weight[\"model\"]:\n",
- " if key.startswith(\"enc_p.xvec_proj.\"): # 前のモデルの名残\n",
- " print(key, key.replace(\"enc_p.xvec_proj.\", \"enc_p.style_proj.\"))\n",
- " new_dict[key.replace(\"enc_p.xvec_proj.\", \"enc_p.style_proj.\")] = pth_weight[\"model\"][key].clone().contiguous() # よく分からないおまじないをしないとエラーになる\n",
- " elif not key.startswith(\"enc_q\"):\n",
- " new_dict[key] = pth_weight[\"model\"][key]\n",
- " else:\n",
- " continue\n",
- "new_dict[\"iteration\"] = torch.LongTensor([pth_weight[\"iteration\"]])\n",
- "save_file(new_dict, pth_path.replace(\".pth\", \".pth.safetensors\"))\n"
- ]
- }
- ],
- "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
-}
diff --git a/server_test.ipynb b/server_test.ipynb
deleted file mode 100644
index 36742eb..0000000
--- a/server_test.ipynb
+++ /dev/null
@@ -1,74 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- " \n",
- " "
- ],
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "import requests\n",
- "from IPython.display import Audio\n",
- "\n",
- "\n",
- "def fecth_and_play_voice(params):\n",
- " url = \"http://127.0.0.1:5000/voice\"\n",
- " response = requests.get(url, params=params)\n",
- "\n",
- " if response.status_code == 200:\n",
- " display(Audio(response.content))\n",
- " else:\n",
- " print(f\"Error: {response.status_code}\")\n",
- " print(response.json())\n",
- "\n",
- "\n",
- "params = {\n",
- " \"text\": \"こんにちは、吾輩は猫である。名前はまだない。\",\n",
- " \"model_id\": 10,\n",
- " \"style\": \"Neutral\",\n",
- " \"style_weight\": 100\n",
- "}\n",
- "\n",
- "fecth_and_play_voice(params)"
- ]
- }
- ],
- "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
-}