clip_cvae_celeba_test4.ipynb

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    "## 引入残差快\n",
    "定义残差块：创建一个ResidualBlock类，包含两个卷积层和一个跳跃连接（shortcut）。如果输入和输出通道数不同，通过1x1卷积调整维度。\n",
    "\n",
    "编码器修改：在编码器的每个主要卷积层后添加一个残差块。例如，初始卷积后添加encoder_res1，然后进行下采样，再添加encoder_res2，依此类推。\n",
    "\n",
    "解码器修改：同样，在解码器的每个反卷积层后添加一个残差块，如decoder_res1、decoder_res2等，以促进特征的传递和梯度的流动。"
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   "execution_count": 1,
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   "outputs": [
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     "text": [
      "使用设备: cuda\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 1/10: 100%|██████████| 1272/1272 [01:06<00:00, 19.13it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1, 平均训练损失: 1419.4014, 学习率: 0.001\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集平均损失: 874.0053\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 2/10: 100%|██████████| 1272/1272 [01:05<00:00, 19.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 2, 平均训练损失: 755.3740, 学习率: 0.001\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集平均损失: 689.0685\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 3/10: 100%|██████████| 1272/1272 [01:08<00:00, 18.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 3, 平均训练损失: 657.2744, 学习率: 0.001\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集平均损失: 578.4082\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 4/10: 100%|██████████| 1272/1272 [01:05<00:00, 19.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 4, 平均训练损失: 538.1459, 学习率: 0.001\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集平均损失: 522.4571\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 5/10: 100%|██████████| 1272/1272 [01:08<00:00, 18.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 5, 平均训练损失: 508.4676, 学习率: 0.001\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集平均损失: 490.9021\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 6/10: 100%|██████████| 1272/1272 [01:05<00:00, 19.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 6, 平均训练损失: 482.7804, 学习率: 0.001\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集平均损失: 472.4149\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 7/10: 100%|██████████| 1272/1272 [01:06<00:00, 19.07it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 7, 平均训练损失: 468.0740, 学习率: 0.001\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集平均损失: 459.2017\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 8/10: 100%|██████████| 1272/1272 [01:09<00:00, 18.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 8, 平均训练损失: 463.6623, 学习率: 0.001\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集平均损失: 460.4271\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 9/10: 100%|██████████| 1272/1272 [01:14<00:00, 17.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 9, 平均训练损失: 446.0562, 学习率: 0.001\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集平均损失: 455.4881\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Epoch 10/10: 100%|██████████| 1272/1272 [01:14<00:00, 17.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 10, 平均训练损失: 470.4822, 学习率: 0.0001\n"
     ]
    },
    {
     "name": "stderr",
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     "text": [
      "\n"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "验证集平均损失: 451.8892\n"
     ]
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      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
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      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 24341 (\\N{CJK UNIFIED IDEOGRAPH-5F15}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
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      "  fig.canvas.print_figure(bytes_io, **kw)\n",
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      "  fig.canvas.print_figure(bytes_io, **kw)\n",
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      "  fig.canvas.print_figure(bytes_io, **kw)\n",
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      "  fig.canvas.print_figure(bytes_io, **kw)\n",
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      "  fig.canvas.print_figure(bytes_io, **kw)\n",
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      "  fig.canvas.print_figure(bytes_io, **kw)\n",
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      "  fig.canvas.print_figure(bytes_io, **kw)\n",
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      "  fig.canvas.print_figure(bytes_io, **kw)\n",
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      "  fig.canvas.print_figure(bytes_io, **kw)\n",
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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 21644 (\\N{CJK UNIFIED IDEOGRAPH-548C}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 38543 (\\N{CJK UNIFIED IDEOGRAPH-968F}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 21464 (\\N{CJK UNIFIED IDEOGRAPH-53D8}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 21270 (\\N{CJK UNIFIED IDEOGRAPH-5316}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 23398 (\\N{CJK UNIFIED IDEOGRAPH-5B66}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 20064 (\\N{CJK UNIFIED IDEOGRAPH-4E60}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2357/4155026357.py:359: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 21644 (\\N{CJK UNIFIED IDEOGRAPH-548C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 38543 (\\N{CJK UNIFIED IDEOGRAPH-968F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 21464 (\\N{CJK UNIFIED IDEOGRAPH-53D8}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 21270 (\\N{CJK UNIFIED IDEOGRAPH-5316}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 23398 (\\N{CJK UNIFIED IDEOGRAPH-5B66}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 20064 (\\N{CJK UNIFIED IDEOGRAPH-4E60}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/envs/pytorc_test1/lib/python3.12/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n",
      "findfont: Generic family 'sans-serif' not found because none of the following families were found: SimHei\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "from torch.utils.data import Dataset, DataLoader\n",
    "from torchvision import transforms\n",
    "import torchvision\n",
    "import clip\n",
    "from PIL import Image\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import random\n",
    "\n",
    "# 设置Matplotlib使用支持中文的字体\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 设备选择\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(f\"使用设备: {device}\")\n",
    "\n",
    "# 加载CLIP模型\n",
    "clip_model, preprocess = clip.load(\"ViT-B/32\", device=device)\n",
    "\n",
    "# 文本提示词\n",
    "TEXT_PROMPTS = [\n",
    "    \"A portrait of a young woman\",\n",
    "    \"A realistic face with a smile\",\n",
    "    \"A person with distinct facial features\"\n",
    "]\n",
    "\n",
    "# 生成CLIP文本嵌入\n",
    "def generate_text_embeddings(text_prompts):\n",
    "    text_tokens = clip.tokenize(text_prompts).to(device)\n",
    "    with torch.no_grad():\n",
    "        text_embeddings = clip_model.encode_text(text_tokens)\n",
    "    return text_embeddings.cpu()\n",
    "\n",
    "CLIP_TEXT_EMBEDDINGS = generate_text_embeddings(TEXT_PROMPTS)\n",
    "\n",
    "# CelebA数据集类\n",
    "class CelebADataset(Dataset):\n",
    "    def __init__(self, img_dir, attr_path, bbox_path, partition_path, \n",
    "                 transform=None, partition=0):\n",
    "        self.img_dir = img_dir\n",
    "        self.transform = transform\n",
    "\n",
    "        attr_df = pd.read_csv(attr_path, sep=',', header=0)\n",
    "        partition_df = pd.read_csv(partition_path, sep=',', header=0)\n",
    "        attr_df = attr_df.merge(partition_df, on='image_id')\n",
    "        self.attr_df = attr_df[attr_df['partition'] == partition]\n",
    "        bbox_df = pd.read_csv(bbox_path, sep=',', header=0)\n",
    "        self.attr_df = self.attr_df.merge(bbox_df, on='image_id')\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.attr_df)\n",
    "\n",
    "    def __getitem__(self, idx):\n",
    "        img_name = self.attr_df.iloc[idx, 0]\n",
    "        img_path = os.path.join(self.img_dir, img_name)\n",
    "        image = Image.open(img_path).convert('RGB')\n",
    "        attrs = self.attr_df.iloc[idx, 1:41].values\n",
    "        attrs = (attrs + 1) // 2\n",
    "        attrs = attrs.astype(np.float32)\n",
    "        if self.transform:\n",
    "            image = self.transform(image)\n",
    "        random_idx = random.randint(0, len(CLIP_TEXT_EMBEDDINGS) - 1)\n",
    "        clip_embedding = CLIP_TEXT_EMBEDDINGS[random_idx]\n",
    "        return image, attrs, clip_embedding\n",
    "\n",
    "# 残差块定义\n",
    "class ResidualBlock(nn.Module):\n",
    "    def __init__(self, in_channels, out_channels):\n",
    "        super(ResidualBlock, self).__init__()\n",
    "        self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1)\n",
    "        self.bn1 = nn.BatchNorm2d(out_channels)\n",
    "        self.relu = nn.ReLU(inplace=True)\n",
    "        self.conv2 = nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1)\n",
    "        self.bn2 = nn.BatchNorm2d(out_channels)\n",
    "        if in_channels != out_channels:\n",
    "            self.shortcut = nn.Conv2d(in_channels, out_channels, kernel_size=1)\n",
    "        else:\n",
    "            self.shortcut = nn.Identity()\n",
    "\n",
    "    def forward(self, x):\n",
    "        identity = self.shortcut(x)\n",
    "        out = self.relu(self.bn1(self.conv1(x)))\n",
    "        out = self.bn2(self.conv2(out))\n",
    "        out += identity\n",
    "        out = self.relu(out)\n",
    "        return out\n",
    "\n",
    "# ClipCVAE模型定义\n",
    "class ClipCVAE(nn.Module):\n",
    "    def __init__(self, img_channels=3, img_size=64, latent_dim=128, \n",
    "                 cond_dim=40, clip_dim=512):\n",
    "        super(ClipCVAE, self).__init__()\n",
    "        self.img_size = img_size\n",
    "        self.latent_dim = latent_dim\n",
    "        self.cond_dim = cond_dim\n",
    "        self.clip_dim = clip_dim\n",
    "\n",
    "        # 编码器部分\n",
    "        self.encoder_initial = nn.Sequential(\n",
    "            nn.Conv2d(img_channels + cond_dim + clip_dim, 64, kernel_size=4, stride=2, padding=1),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.encoder_res1 = ResidualBlock(64, 128)\n",
    "        self.encoder_down1 = nn.Sequential(\n",
    "            nn.Conv2d(128, 128, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(128),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.encoder_res2 = ResidualBlock(128, 256)\n",
    "        self.encoder_down2 = nn.Sequential(\n",
    "            nn.Conv2d(256, 256, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(256),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.encoder_res3 = ResidualBlock(256, 512)\n",
    "        self.encoder_down3 = nn.Sequential(\n",
    "            nn.Conv2d(512, 512, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(512),\n",
    "            nn.ReLU(),\n",
    "            nn.Flatten()\n",
    "        )\n",
    "        self.fc_mu = nn.Linear(512*4*4, latent_dim)\n",
    "        self.fc_logvar = nn.Linear(512*4*4, latent_dim)\n",
    "\n",
    "        # 解码器部分\n",
    "        self.decoder_input = nn.Linear(latent_dim + cond_dim + clip_dim, 512*4*4)\n",
    "        self.decoder_up0 = nn.Sequential(\n",
    "            nn.ConvTranspose2d(512, 512, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(512),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.decoder_res1 = ResidualBlock(512, 256)\n",
    "        self.decoder_up1 = nn.Sequential(\n",
    "            nn.ConvTranspose2d(256, 256, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(256),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.decoder_res2 = ResidualBlock(256, 128)\n",
    "        self.decoder_up2 = nn.Sequential(\n",
    "            nn.ConvTranspose2d(128, 128, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(128),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.decoder_res3 = ResidualBlock(128, 64)\n",
    "        self.decoder_up3 = nn.Sequential(\n",
    "            nn.ConvTranspose2d(64, img_channels, kernel_size=4, stride=2, padding=1),\n",
    "            nn.Tanh()\n",
    "        )\n",
    "\n",
    "    def encode(self, x, c, clip_embedding):\n",
    "        c = c.view(c.size(0), self.cond_dim, 1, 1).repeat(1, 1, self.img_size, self.img_size)\n",
    "        clip_embedding = clip_embedding.view(clip_embedding.size(0), self.clip_dim, 1, 1).repeat(1, 1, self.img_size, self.img_size)\n",
    "        x = torch.cat([x, c, clip_embedding], dim=1)\n",
    "        x = self.encoder_initial(x)\n",
    "        x = self.encoder_res1(x)\n",
    "        x = self.encoder_down1(x)\n",
    "        x = self.encoder_res2(x)\n",
    "        x = self.encoder_down2(x)\n",
    "        x = self.encoder_res3(x)\n",
    "        x = self.encoder_down3(x)\n",
    "        mu = self.fc_mu(x)\n",
    "        logvar = self.fc_logvar(x)\n",
    "        return mu, logvar\n",
    "\n",
    "    def reparameterize(self, mu, logvar):\n",
    "        std = torch.exp(0.5 * logvar)\n",
    "        eps = torch.randn_like(std)\n",
    "        return mu + eps * std\n",
    "\n",
    "    def decode(self, z, c, clip_embedding):\n",
    "        z = torch.cat([z, c, clip_embedding], dim=1)\n",
    "        x = self.decoder_input(z)\n",
    "        x = x.view(-1, 512, 4, 4)\n",
    "        x = self.decoder_up0(x)\n",
    "        x = self.decoder_res1(x)\n",
    "        x = self.decoder_up1(x)\n",
    "        x = self.decoder_res2(x)\n",
    "        x = self.decoder_up2(x)\n",
    "        x = self.decoder_res3(x)\n",
    "        x = self.decoder_up3(x)\n",
    "        return x\n",
    "\n",
    "    def forward(self, x, c, clip_embedding):\n",
    "        mu, logvar = self.encode(x, c, clip_embedding)\n",
    "        z = self.reparameterize(mu, logvar)\n",
    "        recon_x = self.decode(z, c, clip_embedding)\n",
    "        return recon_x, mu, logvar\n",
    "\n",
    "# 图像预处理\n",
    "transform = transforms.Compose([\n",
    "    transforms.Resize((64, 64)),\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])  # 修正归一化\n",
    "])\n",
    "\n",
    "# 数据集路径设置（请根据实际路径修改）\n",
    "img_dir = '/root/autodl-tmp/celeba_datasets/img_align_celeba/img_align_celeba'\n",
    "attr_path = '/root/autodl-tmp/celeba_datasets/list_attr_celeba.txt'\n",
    "bbox_path = '/root/autodl-tmp/celeba_datasets/list_bbox_celeba.txt'\n",
    "partition_path = '/root/autodl-tmp/celeba_datasets/list_eval_partition.txt'\n",
    "\n",
    "# 创建训练集和验证集\n",
    "train_dataset = CelebADataset(img_dir, attr_path, bbox_path, partition_path, \n",
    "                              transform=transform, partition=0)\n",
    "val_dataset = CelebADataset(img_dir, attr_path, bbox_path, partition_path, \n",
    "                            transform=transform, partition=1)\n",
    "\n",
    "# 数据加载器\n",
    "batch_size = 128\n",
    "train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True, num_workers=4, pin_memory=True)\n",
    "val_loader = DataLoader(val_dataset, batch_size=batch_size, shuffle=False, num_workers=4, pin_memory=True)\n",
    "\n",
    "# 初始化模型、损失函数和优化器\n",
    "latent_dim = 128\n",
    "cond_dim = 40\n",
    "clip_dim = 512\n",
    "model = ClipCVAE(img_channels=3, img_size=64, latent_dim=latent_dim, \n",
    "                 cond_dim=cond_dim, clip_dim=clip_dim).to(device)\n",
    "optimizer = optim.Adam(model.parameters(), lr=1e-3)\n",
    "criterion = nn.MSELoss(reduction='sum')\n",
    "\n",
    "# 定义损失函数\n",
    "def loss_function(recon_x, x, mu, logvar):\n",
    "    recon_loss = criterion(recon_x, x)\n",
    "    KL = -0.5 * torch.sum(1 + logvar - mu.pow(2) - logvar.exp())\n",
    "    return recon_loss + KL\n",
    "\n",
    "# 定义学习率调度器（可选）\n",
    "scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=10, gamma=0.1)\n",
    "\n",
    "# 训练模型\n",
    "def train_model(model, train_loader, val_loader, optimizer, scheduler, num_epochs=50):\n",
    "    # 记录损失\n",
    "    history = {\n",
    "        'train_loss': [],\n",
    "        'val_loss': [],\n",
    "        'learning_rate': []\n",
    "    }\n",
    "    \n",
    "    for epoch in range(1, num_epochs + 1):\n",
    "        model.train()\n",
    "        train_loss = 0\n",
    "        for batch_idx, (data, attrs, clip_emb) in enumerate(tqdm(train_loader, desc=f\"Epoch {epoch}/{num_epochs}\")):\n",
    "            data = data.to(device, non_blocking=True)\n",
    "            attrs = attrs.to(device, non_blocking=True)\n",
    "            clip_emb = clip_emb.to(device, non_blocking=True)\n",
    "            \n",
    "            optimizer.zero_grad()\n",
    "            recon_batch, mu, logvar = model(data, attrs, clip_emb)\n",
    "            loss = loss_function(recon_batch, data, mu, logvar)\n",
    "            loss.backward()\n",
    "            train_loss += loss.item()\n",
    "            optimizer.step()\n",
    "        \n",
    "        # 更新学习率\n",
    "        scheduler.step()\n",
    "        current_lr = optimizer.param_groups[0]['lr']\n",
    "        \n",
    "        avg_train_loss = train_loss / len(train_loader.dataset)\n",
    "        history['train_loss'].append(avg_train_loss)\n",
    "        history['learning_rate'].append(current_lr)\n",
    "        print(f\"Epoch {epoch}, 平均训练损失: {avg_train_loss:.4f}, 学习率: {current_lr}\")\n",
    "        \n",
    "        # 验证集评估\n",
    "        model.eval()\n",
    "        val_loss = 0\n",
    "        with torch.no_grad():\n",
    "            for data, attrs, clip_emb in val_loader:\n",
    "                data = data.to(device, non_blocking=True)\n",
    "                attrs = attrs.to(device, non_blocking=True)\n",
    "                clip_emb = clip_emb.to(device, non_blocking=True)\n",
    "                recon_batch, mu, logvar = model(data, attrs, clip_emb)\n",
    "                loss = loss_function(recon_batch, data, mu, logvar)\n",
    "                val_loss += loss.item()\n",
    "        \n",
    "        avg_val_loss = val_loss / len(val_loader.dataset)\n",
    "        history['val_loss'].append(avg_val_loss)\n",
    "        print(f\"验证集平均损失: {avg_val_loss:.4f}\")\n",
    "    \n",
    "    return model, history\n",
    "\n",
    "# 图像生成函数\n",
    "def generate_images(model, attrs, text_prompts, device, num_images=16):\n",
    "    \"\"\"\n",
    "    根据条件标签和文本提示生成图像\n",
    "    \"\"\"\n",
    "    model.eval()\n",
    "    \n",
    "    with torch.no_grad():\n",
    "        z = torch.randn(num_images, model.latent_dim).to(device)\n",
    "        attrs = attrs[:num_images].to(device)\n",
    "        \n",
    "        # 对于每个图像随机选择一个文本嵌入\n",
    "        text_embeddings = torch.stack([\n",
    "            CLIP_TEXT_EMBEDDINGS[random.randint(0, len(CLIP_TEXT_EMBEDDINGS) - 1)] \n",
    "            for _ in range(num_images)\n",
    "        ]).to(device)\n",
    "        \n",
    "        generated = model.decode(z, attrs, text_embeddings)\n",
    "        generated = generated.cpu()\n",
    "        return generated\n",
    "\n",
    "# 训练模型\n",
    "trained_model, history = train_model(model, train_loader, val_loader, optimizer, scheduler, num_epochs=10)\n",
    "\n",
    "# 保存模型\n",
    "torch.save(trained_model.state_dict(), 'clip_cvae_celeba.pth')\n",
    "\n",
    "# 生成图像示例\n",
    "data_iter = iter(val_loader)\n",
    "images, attrs, _ = next(data_iter)\n",
    "sample_attrs = attrs[:16]\n",
    "\n",
    "generated_images = generate_images(trained_model, sample_attrs, TEXT_PROMPTS, device, num_images=16)\n",
    "\n",
    "# 可视化生成的图像\n",
    "def show_images(images, title=\"Generated Images\"):\n",
    "    images = images * 0.5 + 0.5  # 反归一化\n",
    "    grid = torchvision.utils.make_grid(images, nrow=4)\n",
    "    np_grid = grid.numpy()\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(np.transpose(np_grid, (1, 2, 0)))\n",
    "    plt.title(title)\n",
    "    plt.axis('off')\n",
    "    plt.show()\n",
    "\n",
    "show_images(generated_images, title=\"CLIP引导的条件生成人脸图像\")\n",
    "\n",
    "# 绘制损失曲线\n",
    "def plot_loss(history):\n",
    "    epochs = range(1, len(history['train_loss']) + 1)\n",
    "    \n",
    "    plt.figure(figsize=(12,5))\n",
    "    \n",
    "    # 绘制训练和验证损失\n",
    "    plt.subplot(1, 2, 1)\n",
    "    plt.plot(epochs, history['train_loss'], 'b-', label='训练损失')\n",
    "    plt.plot(epochs, history['val_loss'], 'r-', label='验证损失')\n",
    "    plt.title('训练和验证损失随Epoch变化')\n",
    "    plt.xlabel('Epoch')\n",
    "    plt.ylabel('损失')\n",
    "    plt.legend()\n",
    "    \n",
    "    # 绘制学习率\n",
    "    plt.subplot(1, 2, 2)\n",
    "    plt.plot(epochs, history['learning_rate'], 'g-', label='学习率')\n",
    "    plt.title('学习率随Epoch变化')\n",
    "    plt.xlabel('Epoch')\n",
    "    plt.ylabel('学习率')\n",
    "    plt.legend()\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "plot_loss(history)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'matplotlib.font_manager' has no attribute '_rebuild'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[12], line 45\u001b[0m\n\u001b[1;32m     42\u001b[0m font_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/root/autodl-tmp/SimHei.ttf\u001b[39m\u001b[38;5;124m'\u001b[39m  \u001b[38;5;66;03m# 请根据实际路径修改\u001b[39;00m\n\u001b[1;32m     44\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 45\u001b[0m     \u001b[43mset_chinese_font\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfont_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     46\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m     47\u001b[0m     \u001b[38;5;28mprint\u001b[39m(e)\n",
      "Cell \u001b[0;32mIn[12], line 29\u001b[0m, in \u001b[0;36mset_chinese_font\u001b[0;34m(font_path)\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[38;5;66;03m# 添加字体到Matplotlib的字体管理器\u001b[39;00m\n\u001b[1;32m     28\u001b[0m fm\u001b[38;5;241m.\u001b[39mfontManager\u001b[38;5;241m.\u001b[39maddfont(font_path)\n\u001b[0;32m---> 29\u001b[0m \u001b[43mfm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_rebuild\u001b[49m()\n\u001b[1;32m     31\u001b[0m \u001b[38;5;66;03m# 创建字体属性\u001b[39;00m\n\u001b[1;32m     32\u001b[0m font_prop \u001b[38;5;241m=\u001b[39m fm\u001b[38;5;241m.\u001b[39mFontProperties(fname\u001b[38;5;241m=\u001b[39mfont_path)\n",
      "\u001b[0;31mAttributeError\u001b[0m: module 'matplotlib.font_manager' has no attribute '_rebuild'"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "from torch.utils.data import Dataset, DataLoader\n",
    "from torchvision import transforms\n",
    "import torchvision\n",
    "import clip\n",
    "from PIL import Image\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.font_manager as fm\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import random\n",
    "\n",
    "# 设置Matplotlib使用支持中文的字体\n",
    "def set_chinese_font(font_path):\n",
    "    \"\"\"\n",
    "    设置Matplotlib使用指定的中文字体。\n",
    "    :param font_path: 字体文件的绝对路径\n",
    "    \"\"\"\n",
    "    if not os.path.exists(font_path):\n",
    "        raise FileNotFoundError(f\"指定的字体文件不存在: {font_path}\")\n",
    "\n",
    "    # 添加字体到Matplotlib的字体管理器\n",
    "    fm.fontManager.addfont(font_path)\n",
    "    fm._rebuild()\n",
    "\n",
    "    # 创建字体属性\n",
    "    font_prop = fm.FontProperties(fname=font_path)\n",
    "    font_name = font_prop.get_name()\n",
    "\n",
    "    # 设置全局字体\n",
    "    plt.rcParams['font.family'] = font_name\n",
    "    plt.rcParams['axes.unicode_minus'] = False  # 解决负号显示问题\n",
    "\n",
    "    print(f\"已设置Matplotlib使用字体: {font_name}\")\n",
    "\n",
    "# 指定你的中文字体路径\n",
    "font_path = '/root/autodl-tmp/SimHei.ttf'  # 请根据实际路径修改\n",
    "\n",
    "try:\n",
    "    set_chinese_font(font_path)\n",
    "except FileNotFoundError as e:\n",
    "    print(e)\n",
    "    print(\"请确保字体文件路径正确且字体已安装。\")\n",
    "    # 你也可以选择使用其他已安装的中文字体，例如 'Noto Sans CJK SC'\n",
    "    # 例如:\n",
    "    # font_path = '/usr/share/fonts/truetype/noto/NotoSansCJK-Regular.ttc'\n",
    "    # set_chinese_font(font_path)\n",
    "\n",
    "# 设备选择\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(f\"使用设备: {device}\")\n",
    "\n",
    "# 加载CLIP模型\n",
    "clip_model, preprocess = clip.load(\"ViT-B/32\", device=device)\n",
    "\n",
    "# 文本提示词\n",
    "TEXT_PROMPTS = [\n",
    "    \"A portrait of a young woman\",\n",
    "    \"A realistic face with a smile\",\n",
    "    \"A person with distinct facial features\"\n",
    "]\n",
    "\n",
    "# 生成CLIP文本嵌入（提前计算以避免重复计算）\n",
    "def generate_text_embeddings(text_prompts):\n",
    "    text_tokens = clip.tokenize(text_prompts).to(device)\n",
    "    with torch.no_grad():\n",
    "        text_embeddings = clip_model.encode_text(text_tokens)\n",
    "    return text_embeddings.cpu()  # 移动到CPU\n",
    "\n",
    "# 预先计算文本嵌入\n",
    "CLIP_TEXT_EMBEDDINGS = generate_text_embeddings(TEXT_PROMPTS)\n",
    "\n",
    "# CelebA数据集类\n",
    "class CelebADataset(Dataset):\n",
    "    def __init__(self, img_dir, attr_path, bbox_path, partition_path, \n",
    "                 transform=None, partition=0):\n",
    "        \"\"\"\n",
    "        初始化数据集\n",
    "        :param img_dir: 图像文件夹路径\n",
    "        :param attr_path: 属性文件路径\n",
    "        :param bbox_path: 边界框文件路径\n",
    "        :param partition_path: 分区文件路径\n",
    "        :param transform: 图像预处理\n",
    "        :param partition: 使用的数据分区 (0: train, 1: val, 2: test)\n",
    "        \"\"\"\n",
    "        self.img_dir = img_dir\n",
    "        self.transform = transform\n",
    "\n",
    "        # 读取属性文件\n",
    "        attr_df = pd.read_csv(attr_path, sep=',', header=0)\n",
    "        partition_df = pd.read_csv(partition_path, sep=',', header=0)\n",
    "        \n",
    "        # 合并属性文件和分区文件\n",
    "        attr_df = attr_df.merge(partition_df, on='image_id')\n",
    "        \n",
    "        # 根据指定的分区进行筛选\n",
    "        self.attr_df = attr_df[attr_df['partition'] == partition]\n",
    "        \n",
    "        # 读取边界框文件\n",
    "        bbox_df = pd.read_csv(bbox_path, sep=',', header=0)\n",
    "        \n",
    "        # 合并边界框信息\n",
    "        self.attr_df = self.attr_df.merge(bbox_df, on='image_id')\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.attr_df)\n",
    "\n",
    "    def __getitem__(self, idx):\n",
    "        # 获取图像文件名\n",
    "        img_name = self.attr_df.iloc[idx, 0]\n",
    "        img_path = os.path.join(self.img_dir, img_name)\n",
    "        \n",
    "        # 打开图像并转换为RGB\n",
    "        image = Image.open(img_path).convert('RGB')\n",
    "        \n",
    "        # 获取属性标签 \n",
    "        attrs = self.attr_df.iloc[idx, 1:41].values\n",
    "        attrs = (attrs + 1) // 2  # 将-1转为0，1保持1\n",
    "        attrs = attrs.astype(np.float32)\n",
    "        \n",
    "        # 应用图像预处理\n",
    "        if self.transform:\n",
    "            image = self.transform(image)\n",
    "        \n",
    "        # 随机选择一个CLIP文本嵌入\n",
    "        random_idx = random.randint(0, len(CLIP_TEXT_EMBEDDINGS) - 1)\n",
    "        clip_embedding = CLIP_TEXT_EMBEDDINGS[random_idx]\n",
    "        \n",
    "        return image, attrs, clip_embedding\n",
    "\n",
    "# 残差块定义\n",
    "class ResidualBlock(nn.Module):\n",
    "    def __init__(self, in_channels, out_channels):\n",
    "        super(ResidualBlock, self).__init__()\n",
    "        self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1)\n",
    "        self.bn1 = nn.BatchNorm2d(out_channels)\n",
    "        self.relu = nn.ReLU(inplace=True)\n",
    "        self.conv2 = nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1)\n",
    "        self.bn2 = nn.BatchNorm2d(out_channels)\n",
    "        if in_channels != out_channels:\n",
    "            self.shortcut = nn.Conv2d(in_channels, out_channels, kernel_size=1)\n",
    "        else:\n",
    "            self.shortcut = nn.Identity()\n",
    "\n",
    "    def forward(self, x):\n",
    "        identity = self.shortcut(x)\n",
    "        out = self.relu(self.bn1(self.conv1(x)))\n",
    "        out = self.bn2(self.conv2(out))\n",
    "        out += identity\n",
    "        out = self.relu(out)\n",
    "        return out\n",
    "\n",
    "# ClipCVAE模型定义\n",
    "class ClipCVAE(nn.Module):\n",
    "    def __init__(self, img_channels=3, img_size=64, latent_dim=128, \n",
    "                 cond_dim=40, clip_dim=512):\n",
    "        super(ClipCVAE, self).__init__()\n",
    "        self.img_size = img_size\n",
    "        self.latent_dim = latent_dim\n",
    "        self.cond_dim = cond_dim\n",
    "        self.clip_dim = clip_dim\n",
    "\n",
    "        # 编码器部分\n",
    "        self.encoder_initial = nn.Sequential(\n",
    "            nn.Conv2d(img_channels + cond_dim + clip_dim, 64, kernel_size=4, stride=2, padding=1),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.encoder_res1 = ResidualBlock(64, 128)\n",
    "        self.encoder_down1 = nn.Sequential(\n",
    "            nn.Conv2d(128, 128, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(128),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.encoder_res2 = ResidualBlock(128, 256)\n",
    "        self.encoder_down2 = nn.Sequential(\n",
    "            nn.Conv2d(256, 256, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(256),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.encoder_res3 = ResidualBlock(256, 512)\n",
    "        self.encoder_down3 = nn.Sequential(\n",
    "            nn.Conv2d(512, 512, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(512),\n",
    "            nn.ReLU(),\n",
    "            nn.Flatten()\n",
    "        )\n",
    "        self.fc_mu = nn.Linear(512*4*4, latent_dim)\n",
    "        self.fc_logvar = nn.Linear(512*4*4, latent_dim)\n",
    "\n",
    "        # 解码器部分\n",
    "        self.decoder_input = nn.Linear(latent_dim + cond_dim + clip_dim, 512*4*4)\n",
    "        self.decoder_up0 = nn.Sequential(\n",
    "            nn.ConvTranspose2d(512, 512, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(512),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.decoder_res1 = ResidualBlock(512, 256)\n",
    "        self.decoder_up1 = nn.Sequential(\n",
    "            nn.ConvTranspose2d(256, 256, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(256),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.decoder_res2 = ResidualBlock(256, 128)\n",
    "        self.decoder_up2 = nn.Sequential(\n",
    "            nn.ConvTranspose2d(128, 128, kernel_size=4, stride=2, padding=1),\n",
    "            nn.BatchNorm2d(128),\n",
    "            nn.ReLU()\n",
    "        )\n",
    "        self.decoder_res3 = ResidualBlock(128, 64)\n",
    "        self.decoder_up3 = nn.Sequential(\n",
    "            nn.ConvTranspose2d(64, img_channels, kernel_size=4, stride=2, padding=1),\n",
    "            nn.Tanh()\n",
    "        )\n",
    "\n",
    "    def encode(self, x, c, clip_embedding):\n",
    "        # 将条件标签、图像和CLIP嵌入拼接\n",
    "        c = c.view(c.size(0), self.cond_dim, 1, 1).repeat(1, 1, self.img_size, self.img_size)\n",
    "        clip_embedding = clip_embedding.view(clip_embedding.size(0), self.clip_dim, 1, 1).repeat(1, 1, self.img_size, self.img_size)\n",
    "        x = torch.cat([x, c, clip_embedding], dim=1)\n",
    "        x = self.encoder_initial(x)\n",
    "        x = self.encoder_res1(x)\n",
    "        x = self.encoder_down1(x)\n",
    "        x = self.encoder_res2(x)\n",
    "        x = self.encoder_down2(x)\n",
    "        x = self.encoder_res3(x)\n",
    "        x = self.encoder_down3(x)\n",
    "        mu = self.fc_mu(x)\n",
    "        logvar = self.fc_logvar(x)\n",
    "        return mu, logvar\n",
    "\n",
    "    def reparameterize(self, mu, logvar):\n",
    "        std = torch.exp(0.5 * logvar)\n",
    "        eps = torch.randn_like(std)\n",
    "        return mu + eps * std\n",
    "\n",
    "    def decode(self, z, c, clip_embedding):\n",
    "        # 将潜在变量、条件标签和CLIP嵌入拼接\n",
    "        z = torch.cat([z, c, clip_embedding], dim=1)\n",
    "        x = self.decoder_input(z)\n",
    "        x = x.view(-1, 512, 4, 4)\n",
    "        x = self.decoder_up0(x)\n",
    "        x = self.decoder_res1(x)\n",
    "        x = self.decoder_up1(x)\n",
    "        x = self.decoder_res2(x)\n",
    "        x = self.decoder_up2(x)\n",
    "        x = self.decoder_res3(x)\n",
    "        x = self.decoder_up3(x)\n",
    "        return x\n",
    "\n",
    "    def forward(self, x, c, clip_embedding):\n",
    "        mu, logvar = self.encode(x, c, clip_embedding)\n",
    "        z = self.reparameterize(mu, logvar)\n",
    "        recon_x = self.decode(z, c, clip_embedding)\n",
    "        return recon_x, mu, logvar\n",
    "\n",
    "# 图像预处理\n",
    "transform = transforms.Compose([\n",
    "    transforms.Resize((64, 64)),\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])  # 修正归一化\n",
    "])\n",
    "\n",
    "# 数据集路径设置（请根据实际路径修改）\n",
    "img_dir = '/root/autodl-tmp/celeba_datasets/img_align_celeba/img_align_celeba'\n",
    "attr_path = '/root/autodl-tmp/celeba_datasets/list_attr_celeba.txt'\n",
    "bbox_path = '/root/autodl-tmp/celeba_datasets/list_bbox_celeba.txt'\n",
    "partition_path = '/root/autodl-tmp/celeba_datasets/list_eval_partition.txt'\n",
    "\n",
    "# 创建训练集和验证集\n",
    "train_dataset = CelebADataset(img_dir, attr_path, bbox_path, partition_path, \n",
    "                              transform=transform, partition=0)\n",
    "val_dataset = CelebADataset(img_dir, attr_path, bbox_path, partition_path, \n",
    "                            transform=transform, partition=1)\n",
    "\n",
    "# 数据加载器\n",
    "batch_size = 128\n",
    "train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True, num_workers=4, pin_memory=True)\n",
    "val_loader = DataLoader(val_dataset, batch_size=batch_size, shuffle=False, num_workers=4, pin_memory=True)\n",
    "\n",
    "# 初始化模型、损失函数和优化器\n",
    "latent_dim = 128\n",
    "cond_dim = 40\n",
    "clip_dim = 512\n",
    "model = ClipCVAE(img_channels=3, img_size=64, latent_dim=latent_dim, \n",
    "                 cond_dim=cond_dim, clip_dim=clip_dim).to(device)\n",
    "optimizer = optim.Adam(model.parameters(), lr=1e-3)\n",
    "criterion = nn.MSELoss(reduction='sum')\n",
    "\n",
    "# 定义损失函数\n",
    "def loss_function(recon_x, x, mu, logvar):\n",
    "    recon_loss = criterion(recon_x, x)\n",
    "    KL = -0.5 * torch.sum(1 + logvar - mu.pow(2) - logvar.exp())\n",
    "    return recon_loss + KL\n",
    "\n",
    "# 定义学习率调度器（可选）\n",
    "scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=10, gamma=0.1)\n",
    "\n",
    "# 训练模型\n",
    "def train_model(model, train_loader, val_loader, optimizer, scheduler, num_epochs=50):\n",
    "    # 记录损失\n",
    "    history = {\n",
    "        'train_loss': [],\n",
    "        'val_loss': [],\n",
    "        'learning_rate': []\n",
    "    }\n",
    "    \n",
    "    for epoch in range(1, num_epochs + 1):\n",
    "        model.train()\n",
    "        train_loss = 0\n",
    "        for batch_idx, (data, attrs, clip_emb) in enumerate(tqdm(train_loader, desc=f\"Epoch {epoch}/{num_epochs}\")):\n",
    "            data = data.to(device, non_blocking=True)\n",
    "            attrs = attrs.to(device, non_blocking=True)\n",
    "            clip_emb = clip_emb.to(device, non_blocking=True)\n",
    "            \n",
    "            optimizer.zero_grad()\n",
    "            recon_batch, mu, logvar = model(data, attrs, clip_emb)\n",
    "            loss = loss_function(recon_batch, data, mu, logvar)\n",
    "            loss.backward()\n",
    "            train_loss += loss.item()\n",
    "            optimizer.step()\n",
    "        \n",
    "        # 更新学习率\n",
    "        scheduler.step()\n",
    "        current_lr = optimizer.param_groups[0]['lr']\n",
    "        \n",
    "        avg_train_loss = train_loss / len(train_loader.dataset)\n",
    "        history['train_loss'].append(avg_train_loss)\n",
    "        history['learning_rate'].append(current_lr)\n",
    "        print(f\"Epoch {epoch}, 平均训练损失: {avg_train_loss:.4f}, 学习率: {current_lr}\")\n",
    "        \n",
    "        # 验证集评估\n",
    "        model.eval()\n",
    "        val_loss = 0\n",
    "        with torch.no_grad():\n",
    "            for data, attrs, clip_emb in val_loader:\n",
    "                data = data.to(device, non_blocking=True)\n",
    "                attrs = attrs.to(device, non_blocking=True)\n",
    "                clip_emb = clip_emb.to(device, non_blocking=True)\n",
    "                recon_batch, mu, logvar = model(data, attrs, clip_emb)\n",
    "                loss = loss_function(recon_batch, data, mu, logvar)\n",
    "                val_loss += loss.item()\n",
    "        \n",
    "        avg_val_loss = val_loss / len(val_loader.dataset)\n",
    "        history['val_loss'].append(avg_val_loss)\n",
    "        print(f\"验证集平均损失: {avg_val_loss:.4f}\")\n",
    "    \n",
    "    return model, history\n",
    "\n",
    "# 图像生成函数\n",
    "def generate_images(model, attrs, text_prompts, device, num_images=16):\n",
    "    \"\"\"\n",
    "    根据条件标签和文本提示生成图像\n",
    "    \"\"\"\n",
    "    model.eval()\n",
    "    \n",
    "    with torch.no_grad():\n",
    "        z = torch.randn(num_images, model.latent_dim).to(device)\n",
    "        attrs = attrs[:num_images].to(device)\n",
    "        \n",
    "        # 对于每个图像随机选择一个文本嵌入\n",
    "        text_embeddings = torch.stack([\n",
    "            CLIP_TEXT_EMBEDDINGS[random.randint(0, len(CLIP_TEXT_EMBEDDINGS) - 1)] \n",
    "            for _ in range(num_images)\n",
    "        ]).to(device)\n",
    "        \n",
    "        generated = model.decode(z, attrs, text_embeddings)\n",
    "        generated = generated.cpu()\n",
    "        return generated\n",
    "\n",
    "# 训练模型\n",
    "trained_model, history = train_model(model, train_loader, val_loader, optimizer, scheduler, num_epochs=10)\n",
    "\n",
    "# 保存模型\n",
    "torch.save(trained_model.state_dict(), 'clip_cvae_celeba.pth')\n",
    "\n",
    "# 生成图像示例\n",
    "data_iter = iter(val_loader)\n",
    "images, attrs, _ = next(data_iter)\n",
    "sample_attrs = attrs[:16]\n",
    "\n",
    "generated_images = generate_images(trained_model, sample_attrs, TEXT_PROMPTS, device, num_images=16)\n",
    "\n",
    "# 可视化生成的图像\n",
    "def show_images(images, title=\"Generated Images\"):\n",
    "    images = images * 0.5 + 0.5  # 反归一化\n",
    "    grid = torchvision.utils.make_grid(images, nrow=4)\n",
    "    np_grid = grid.numpy()\n",
    "    plt.figure(figsize=(8,8))\n",
    "    plt.imshow(np.transpose(np_grid, (1, 2, 0)))\n",
    "    plt.title(title, fontsize=16)  # 全局字体已设置\n",
    "    plt.axis('off')\n",
    "    plt.show()\n",
    "\n",
    "def plot_loss(history):\n",
    "    epochs = range(1, len(history['train_loss']) + 1)\n",
    "    \n",
    "    plt.figure(figsize=(12,5))\n",
    "    \n",
    "    # 绘制训练和验证损失\n",
    "    plt.subplot(1, 2, 1)\n",
    "    plt.plot(epochs, history['train_loss'], 'b-', label='训练损失')\n",
    "    plt.plot(epochs, history['val_loss'], 'r-', label='验证损失')\n",
    "    plt.title('训练和验证损失随Epoch变化', fontsize=14)\n",
    "    plt.xlabel('Epoch')\n",
    "    plt.ylabel('损失')\n",
    "    plt.legend()\n",
    "    \n",
    "    # 绘制学习率\n",
    "    plt.subplot(1, 2, 2)\n",
    "    plt.plot(epochs, history['learning_rate'], 'g-', label='学习率')\n",
    "    plt.title('学习率随Epoch变化', fontsize=14)\n",
    "    plt.xlabel('Epoch')\n",
    "    plt.ylabel('学习率')\n",
    "    plt.legend()\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "# 可视化生成的图像\n",
    "show_images(generated_images, title=\"CLIP引导的条件生成人脸图像\")\n",
    "\n",
    "# 绘制损失曲线\n",
    "plot_loss(history)\n"
   ]
  }
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