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Runtime error
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from accelerate import notebook_launcher\n",
"import torch\n",
"\n",
"from model.trainer import ChatTrainer\n",
"from config import TrainConfig, T5ModelConfig"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"train_config = TrainConfig()\n",
"model_config = T5ModelConfig()\n",
"\n",
"print(train_config)\n",
"print(model_config)\n",
"\n",
"gpu_count = torch.cuda.device_count()\n",
"print('gpu device count: {}'.format(gpu_count))\n",
"\n",
"chat_trainer = ChatTrainer(train_config=train_config, model_config=model_config)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"train = chat_trainer.train\n",
"\n",
"# chat_trainer.train() args: is_keep_training: bool, is_finetune: bool\n",
"train_args = (False, False)\n",
"\n",
"# 使用notebook_launcher函数启动多卡训练\n",
"notebook_launcher(train, num_processes=gpu_count, args=train_args, mixed_precision=train_config.mixed_precision)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"test = chat_trainer.test\n",
"notebook_launcher(test, num_processes=gpu_count, mixed_precision=train_config.mixed_precision)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.10.12"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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