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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
"import argparse\n",
"import torch\n",
"import numpy as np\n",
"import pandas as pd\n",
"import os\n",
"import random\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.font_manager import FontProperties\n",
"from torch.utils.data import DataLoader\n",
"from sklearn.preprocessing import StandardScaler\n",
"from configuration_LightGTS import LightGTSConfig\n",
"from modeling_LightGTS import LightGTSForPrediction\n",
"import torch\n",
"from transformers import AutoModelForCausalLM\n",
"from transformers import AutoModelForCausalLM, MODEL_MAPPING\n",
"from transformers import AutoConfig"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"LightGTS_config = LightGTSConfig(context_points=528, c_in=1, target_dim=192, patch_len=48, stride=48)\n",
"LightGTS_config.save_pretrained(\"LightGTS-huggingface\")\n",
"\n",
"AutoConfig.register(\"LightGTS\",LightGTSConfig)\n",
"AutoModelForCausalLM.register(LightGTSConfig, LightGTSForPrediction)\n",
"\n",
"model = AutoModelForCausalLM.from_pretrained(\n",
" \"./LightGTS-huggingface\",\n",
" trust_remote_code=True\n",
")\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" date HUFL HULL MUFL MULL LUFL LULL \\\n",
"0 2016-07-01 00:00:00 5.827 2.009 1.599 0.462 4.203 1.340 \n",
"1 2016-07-01 01:00:00 5.693 2.076 1.492 0.426 4.142 1.371 \n",
"2 2016-07-01 02:00:00 5.157 1.741 1.279 0.355 3.777 1.218 \n",
"3 2016-07-01 03:00:00 5.090 1.942 1.279 0.391 3.807 1.279 \n",
"4 2016-07-01 04:00:00 5.358 1.942 1.492 0.462 3.868 1.279 \n",
"... ... ... ... ... ... ... ... \n",
"17415 2018-06-26 15:00:00 -1.674 3.550 -5.615 2.132 3.472 1.523 \n",
"17416 2018-06-26 16:00:00 -5.492 4.287 -9.132 2.274 3.533 1.675 \n",
"17417 2018-06-26 17:00:00 2.813 3.818 -0.817 2.097 3.716 1.523 \n",
"17418 2018-06-26 18:00:00 9.243 3.818 5.472 2.097 3.655 1.432 \n",
"17419 2018-06-26 19:00:00 10.114 3.550 6.183 1.564 3.716 1.462 \n",
"\n",
" OT \n",
"0 30.531000 \n",
"1 27.787001 \n",
"2 27.787001 \n",
"3 25.044001 \n",
"4 21.948000 \n",
"... ... \n",
"17415 10.904000 \n",
"17416 11.044000 \n",
"17417 10.271000 \n",
"17418 9.778000 \n",
"17419 9.567000 \n",
"\n",
"[17420 rows x 8 columns] date HUFL HULL MUFL MULL LUFL \\\n",
"0 2016-07-01 00:00:00 41.130001 12.481 36.535999 9.355 4.424 \n",
"1 2016-07-01 01:00:00 37.528000 10.136 33.936001 7.532 4.435 \n",
"2 2016-07-01 02:00:00 37.946999 11.309 35.330002 9.007 2.100 \n",
"3 2016-07-01 03:00:00 38.952000 11.895 35.543999 9.436 3.380 \n",
"4 2016-07-01 04:00:00 38.113998 11.476 35.410000 9.623 2.036 \n",
"... ... ... ... ... ... ... \n",
"17415 2018-06-26 15:00:00 39.202999 11.392 49.644001 11.929 -10.331 \n",
"17416 2018-06-26 16:00:00 38.113998 10.974 48.759998 11.366 -10.331 \n",
"17417 2018-06-26 17:00:00 39.622002 10.974 50.609001 11.661 -11.557 \n",
"17418 2018-06-26 18:00:00 43.643002 13.403 54.737000 13.778 -10.299 \n",
"17419 2018-06-26 19:00:00 38.868000 10.052 49.859001 10.669 -11.525 \n",
"\n",
" LULL OT \n",
"0 1.311 38.661999 \n",
"1 1.215 37.124001 \n",
"2 0.000 36.465000 \n",
"3 1.215 33.608501 \n",
"4 0.000 31.850500 \n",
"... ... ... \n",
"17415 -1.258 47.084999 \n",
"17416 -1.290 48.183498 \n",
"17417 -1.418 48.183498 \n",
"17418 -1.418 46.865501 \n",
"17419 -1.418 45.986500 \n",
"\n",
"[17420 rows x 8 columns]\n"
]
}
],
"source": [
"df1 = pd.read_csv(\"/home/wlf/LightGTS/LightGTS/data/predict_datasets/ETTh1.csv\")\n",
"df2 = pd.read_csv(\"/home/wlf/LightGTS/LightGTS/data/predict_datasets/ETTh2.csv\")\n",
"print(df1,df2)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch.Size([1, 528, 1])\n"
]
}
],
"source": [
"start = 300\n",
"lookback_length = 528 \n",
"lookback = torch.tensor(df1[\"HUFL\"][start:start+lookback_length].values).unsqueeze(0).unsqueeze(-1).float()\n",
"all_length = 768\n",
"all = torch.tensor(df1[\"HUFL\"][start:start+all_length].values).unsqueeze(0).unsqueeze(-1).float()\n",
"\n",
"lookback2 = torch.tensor(df2[\"OT\"][start:start+lookback_length].values).unsqueeze(0).unsqueeze(-1).float()\n",
"all2 = torch.tensor(df2[\"OT\"][start:start+all_length].values).unsqueeze(0).unsqueeze(-1).float()\n",
"print(lookback.shape)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch.Size([1, 240, 1])\n",
"torch.Size([1, 240, 1])\n",
"torch.Size([1, 240, 1])\n"
]
}
],
"source": [
"# zero-shot sample\n",
"outputs = model.generate(lookback, patch_len = 48, stride_len=48, max_output_length=240)\n",
"outputs2 = model.generate(lookback2, patch_len = 48, stride_len=48, max_output_length=240)\n",
"print(outputs.shape)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1500x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"plt.figure(figsize=(15, 5))\n",
"plt.xlim(0, all_length)\n",
"plt.plot(np.arange(all_length), all[0], color='black')\n",
"plt.plot(np.arange(lookback_length,all_length), outputs[0],color='red')\n",
"plt.grid()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1500x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"plt.figure(figsize=(15, 5))\n",
"plt.xlim(0, all_length)\n",
"plt.plot(np.arange(all_length), all2[0], color='black')\n",
"plt.plot(np.arange(lookback_length,all_length), outputs2[0],color='red')\n",
"plt.grid()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loading data...\n",
"Initializing model...\n",
"Starting training on cpu for 10 epochs...\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Epoch 1/10: 0%| | 0/521 [00:00<?, ?it/s]\n"
]
},
{
"ename": "ValueError",
"evalue": "not enough values to unpack (expected 4, got 3)",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [167]\u001b[0m, in \u001b[0;36m<cell line: 73>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 82\u001b[0m labels \u001b[38;5;241m=\u001b[39m batch[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlabels\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mto(device)\n\u001b[1;32m 84\u001b[0m optimizer\u001b[38;5;241m.\u001b[39mzero_grad()\n\u001b[0;32m---> 86\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[43mmodel\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabels\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlabels\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 87\u001b[0m loss \u001b[38;5;241m=\u001b[39m outputs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mloss\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m 89\u001b[0m loss\u001b[38;5;241m.\u001b[39mbackward()\n",
"File \u001b[0;32m/opt/conda/envs/wlf/lib/python3.9/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1496\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1497\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1498\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1499\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1500\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1502\u001b[0m \u001b[38;5;66;03m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[38;5;241m=\u001b[39m [], []\n",
"File \u001b[0;32m/home/wlf/LightGTS-huggingface/modeling_LightGTS.py:64\u001b[0m, in \u001b[0;36mLightGTSForPrediction.forward\u001b[0;34m(self, input, labels)\u001b[0m\n\u001b[1;32m 60\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mforward\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;28minput\u001b[39m, labels\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m---> 64\u001b[0m outputs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodel\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 67\u001b[0m loss \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 68\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m labels \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
"File \u001b[0;32m/opt/conda/envs/wlf/lib/python3.9/site-packages/torch/nn/modules/module.py:1501\u001b[0m, in \u001b[0;36mModule._call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1496\u001b[0m \u001b[38;5;66;03m# If we don't have any hooks, we want to skip the rest of the logic in\u001b[39;00m\n\u001b[1;32m 1497\u001b[0m \u001b[38;5;66;03m# this function, and just call forward.\u001b[39;00m\n\u001b[1;32m 1498\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_forward_pre_hooks\n\u001b[1;32m 1499\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_backward_pre_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_backward_hooks\n\u001b[1;32m 1500\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m _global_forward_hooks \u001b[38;5;129;01mor\u001b[39;00m _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mforward_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1502\u001b[0m \u001b[38;5;66;03m# Do not call functions when jit is used\u001b[39;00m\n\u001b[1;32m 1503\u001b[0m full_backward_hooks, non_full_backward_hooks \u001b[38;5;241m=\u001b[39m [], []\n",
"File \u001b[0;32m/home/wlf/LightGTS-huggingface/modeling_LightGTS.py:324\u001b[0m, in \u001b[0;36mforward\u001b[0;34m(self, z)\u001b[0m\n\u001b[1;32m 321\u001b[0m z \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhead(z[:,:,:,:]) \n\u001b[1;32m 322\u001b[0m z \u001b[38;5;241m=\u001b[39m z[:,:\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtarget_dim, :] \n\u001b[0;32m--> 324\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m z\n",
"\u001b[0;31mValueError\u001b[0m: not enough values to unpack (expected 4, got 3)"
]
}
],
"source": [
"###finetune\n",
"\n",
"import torch\n",
"import torch.nn as nn\n",
"import torch.optim as optim\n",
"from torch.utils.data import Dataset, DataLoader\n",
"import pandas as pd\n",
"from sklearn.preprocessing import StandardScaler\n",
"from tqdm import tqdm \n",
"import os\n",
"from configuration_LightGTS import LightGTSConfig\n",
"from modeling_LightGTS import LightGTSForFinetune\n",
"import torch\n",
"from transformers import AutoModelForCausalLM\n",
"from transformers import AutoModelForCausalLM, MODEL_MAPPING\n",
"from transformers import AutoConfig\n",
"os.environ['CUDA_VISIBLE_DEVICES']='6'\n",
"class TimeSeriesDataset(Dataset):\n",
" def __init__(self, df, target_col=\"HUFL\", lookback=528, pred_len=192):\n",
" self.lookback = lookback\n",
" self.pred_len = pred_len\n",
" \n",
" # 提取目标列\n",
" data = df[[target_col]].values\n",
" \n",
" # 强烈建议在微调时进行标准化\n",
" self.scaler = StandardScaler()\n",
" self.data = self.scaler.fit_transform(data)\n",
" \n",
" def __len__(self):\n",
" # 确保有足够的长度来切分一段 lookback + pred_len\n",
" return len(self.data) - self.lookback - self.pred_len + 1\n",
" \n",
" def __getitem__(self, idx):\n",
" # 获取输入窗口和目标预测窗口\n",
" x = self.data[idx : idx + self.lookback]\n",
" y = self.data[idx + self.lookback : idx + self.lookback + self.pred_len]\n",
" \n",
" return {\n",
" \"input\": torch.tensor(x, dtype=torch.float32), \n",
" \"labels\": torch.tensor(y, dtype=torch.float32)\n",
" }\n",
"\n",
"if __name__==\"__main__\":\n",
" print(\"Loading data...\")\n",
" df1 = pd.read_csv(\"/home/wlf/LightGTS/LightGTS/data/predict_datasets/ETTh1.csv\")\n",
"\n",
" lookback_length = 528 \n",
" target_length = 192\n",
"\n",
" train_dataset = TimeSeriesDataset(df1, target_col=\"HUFL\", lookback=lookback_length, pred_len=target_length)\n",
" train_dataloader = DataLoader(train_dataset, batch_size=32, shuffle=True, drop_last=True)\n",
"\n",
"\n",
" print(\"Initializing model...\")\n",
" device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
"\n",
" LightGTS_config = LightGTSConfig(context_points=528, c_in=1, target_dim=192, patch_len=48, stride=48)\n",
" LightGTS_config.save_pretrained(\"LightGTS-huggingface\")\n",
"\n",
" AutoConfig.register(\"LightGTS\",LightGTSConfig)\n",
" AutoModelForCausalLM.register(LightGTSConfig, LightGTSForFinetune)\n",
"\n",
" model = AutoModelForCausalLM.from_pretrained(\n",
" \"./LightGTS-huggingface\",\n",
" trust_remote_code=True\n",
" )\n",
"\n",
" model.loss_fn = nn.MSELoss() \n",
" model.to(device)\n",
" optimizer = optim.AdamW(model.parameters(), lr=1e-4, weight_decay=1e-2)\n",
"\n",
" num_epochs = 10\n",
" print(f\"Starting training on {device} for {num_epochs} epochs...\")\n",
"\n",
" for epoch in range(num_epochs):\n",
" model.train()\n",
" total_loss = 0.0\n",
" \n",
" progress_bar = tqdm(train_dataloader, desc=f\"Epoch {epoch+1}/{num_epochs}\")\n",
" \n",
" for batch in progress_bar:\n",
" \n",
" inputs = batch[\"input\"].to(device)\n",
" labels = batch[\"labels\"].to(device)\n",
" \n",
" optimizer.zero_grad()\n",
" \n",
" #outputs = model(input=inputs, labels=labels, target_dim = 192, patch_len = 48, stride = 48)\n",
" outputs = model(input=inputs, labels=labels)\n",
" loss = outputs[\"loss\"]\n",
" \n",
" loss.backward()\n",
" optimizer.step()\n",
" \n",
" total_loss += loss.item()\n",
" \n",
" progress_bar.set_postfix({\"loss\": f\"{loss.item():.4f}\"})\n",
" \n",
" avg_loss = total_loss / len(train_dataloader)\n",
" print(f\"Epoch [{epoch+1}/{num_epochs}] completed. Average Loss: {avg_loss:.4f}\\n\")\n",
"\n",
" model.save_pretrained(\"./LightGTS-finetuned\")\n",
" print(\"Training complete!\")"
]
}
],
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|