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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "2b6bb4be",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import torch"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "dc802b47",
"metadata": {},
"outputs": [],
"source": [
"models_path = \"./current_model_120k_vi.pth\"\n",
"name = \"./model.pth\"\n",
"params_whole = torch.load(models_path, map_location='cpu')\n",
"\n",
"for key in list(params_whole.keys()):\n",
" if key != 'net':\n",
" params_whole.pop(key)\n",
"\n",
"keep = ['decoder', 'predictor', 'text_encoder', 'style_encoder']\n",
"for module_name in list(params_whole['net'].keys()):\n",
" if module_name not in keep:\n",
" params_whole['net'].pop(module_name)\n",
"\n",
"torch.save(params_whole, name)\n",
"\n",
"\n",
"os.remove(models_path)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"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": "3.11.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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