CIFAR10/01_gen_sampling_troj_5000_0.5.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "36be3cd9-76c6-4089-bf78-90e7d3d8fce8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\"   \n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"]='0'\n",
    "os.environ[\"HF_HOME\"]=\"~/codes/.cache/huggingface\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6c77b16e-8965-41b7-8a61-42fa5cdd10a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from accelerate.utils import ProjectConfiguration, set_seed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ed45046d-342c-4950-af25-547cd7eb0cf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import random\n",
    "import numpy as np\n",
    "\n",
    "def set_seeds(seed):\n",
    "    set_seed(seed)\n",
    "    random.seed(seed)\n",
    "    np.random.seed(seed)\n",
    "    torch.manual_seed(seed)\n",
    "    torch.backends.cudnn.deterministic = True\n",
    "    torch.backends.cudnn.benchmark = False\n",
    "    \n",
    "set_seeds(42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3a6a68f0-aba6-4f28-a44d-00d5f008b8f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchvision import transforms\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1ef43284-057c-454e-9ab5-2460f4d71d08",
   "metadata": {},
   "outputs": [],
   "source": [
    "from diffusers import DDPMPipeline, DDIMPipeline, DDPMScheduler, DDIMScheduler, UNet2DModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c64b0d46-9a15-483e-ac7d-82542f7201a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'config.json'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class Args():\n",
    "    \n",
    "    model_path = \"./saved/50000-0.5/ddpm\"\n",
    "    model_config_name_or_path=\"config.json\"\n",
    "    \n",
    "    dataset_name=\"cifar10\"\n",
    "\n",
    "    resolution=32\n",
    "    center_crop=True\n",
    "    random_flip=False\n",
    "\n",
    "    dataloader_num_workers=8\n",
    "    \n",
    "    seed=42\n",
    "    gen_seed=0    \n",
    "    gen_path = \"./saved/50000-0.5/gen\"\n",
    "\n",
    "    train_batch_size=256\n",
    "\n",
    "    ddpm_num_steps=1000\n",
    "    ddpm_num_inference_steps=50\n",
    "    ddpm_beta_schedule='linear'\n",
    "\n",
    "args=Args()\n",
    "args.model_config_name_or_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "08f02a5e-0a4c-42bf-afc5-09a3344e0c35",
   "metadata": {},
   "outputs": [],
   "source": [
    "if True:\n",
    "    import pandas as pd\n",
    "    df = pd.DataFrame()\n",
    "    df['path'] = ['{}/{}.png'.format(args.gen_path, i) for i in range(1000)]\n",
    "    \n",
    "    from datasets import DatasetDict, Dataset, Image\n",
    "    dataset = DatasetDict({\n",
    "    \"train\": Dataset.from_dict({\n",
    "        \"img\": df['path'].tolist(),\n",
    "    }).cast_column(\"img\", Image()),})\n",
    "    dataset = dataset[\"train\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5077de84-56fd-4efa-86e5-6cc19647f809",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[0]['img']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2f698e89-f6c4-41ca-b6fe-8b575d211292",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1000"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be079f56-9091-4668-b929-93ca321321fa",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c6124a07-a1d7-4855-991d-9e092051d967",
   "metadata": {},
   "outputs": [],
   "source": [
    "from diffusers.utils import randn_tensor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "84e6839b-4874-47f7-8249-9e11391aa752",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "config.json\n",
      "torch.float32\n",
      "./saved/50000-0.5/ddpm/unet/diffusion_pytorch_model.bin\n",
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      "        140, 120, 100,  80,  60,  40,  20,   0], device='cuda:0')\n",
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     ]
    }
   ],
   "source": [
    "if True:    \n",
    "    # If passed along, set the training seed now.\n",
    "    if args.seed is not None:\n",
    "        set_seeds(args.seed)\n",
    "    ####    \n",
    "    print(args.model_config_name_or_path)\n",
    "    config = UNet2DModel.load_config(args.model_config_name_or_path)\n",
    "    config['resnet_time_scale_shift'] = 'scale_shift'\n",
    "        \n",
    "    model = UNet2DModel.from_config(config) \n",
    "    print(model.dtype)\n",
    "    ####\n",
    "    noise_scheduler = DDPMScheduler(num_train_timesteps=args.ddpm_num_steps, beta_schedule=args.ddpm_beta_schedule)\n",
    "    ddim_noise_scheduler = DDIMScheduler.from_config(noise_scheduler.config)\n",
    "    ####    \n",
    "    model_path = '{}/unet/diffusion_pytorch_model.bin'.format(args.model_path)\n",
    "    print(model_path)\n",
    "    model.load_state_dict(torch.load(model_path))\n",
    "    model.cuda()\n",
    "    model.eval()\n",
    "    ####\n",
    "    \n",
    "    ddim_noise_scheduler.set_timesteps(args.ddpm_num_inference_steps, device='cuda')\n",
    "    ddim_noise_scheduler_timesteps = ddim_noise_scheduler.timesteps\n",
    "    print(ddim_noise_scheduler_timesteps)\n",
    "    \n",
    "    ####\n",
    "    dstore_keys = np.memmap('./saved/50000-0.5/gen/gen_latents.npy', \n",
    "                                dtype=np.float32, \n",
    "                                mode='w+', \n",
    "                                shape=(len(dataset), \n",
    "                                       args.ddpm_num_inference_steps, \n",
    "                                       3, 32, 32)\n",
    "                               )\n",
    "    ####\n",
    "    total=len(dataset)\n",
    "    for step, i in enumerate(range(0, total, args.train_batch_size)):\n",
    "        print(i)\n",
    "        bsz = args.train_batch_size\n",
    "        if total-i<args.train_batch_size:\n",
    "            bsz = total-i\n",
    "        print(bsz)\n",
    "        print([i+j for j in range(bsz)])\n",
    "        generator = [torch.Generator('cpu').manual_seed(args.gen_seed*total+i+j) for j in range(bsz)]\n",
    "        ####\n",
    "        latents = randn_tensor((len(generator), 3, 32, 32), generator=generator, dtype=torch.float32)\n",
    "        latents = latents.cuda()\n",
    "        ####\n",
    "        for index_t, t in enumerate(ddim_noise_scheduler_timesteps[:]):\n",
    "            with torch.no_grad():\n",
    "                noise_pred = model(latents, t).sample\n",
    "                        \n",
    "            prev_timestep = t - ddim_noise_scheduler.config.num_train_timesteps // ddim_noise_scheduler.num_inference_steps\n",
    "\n",
    "            alpha_prod_t = ddim_noise_scheduler.alphas_cumprod[t]\n",
    "            alpha_prod_t_prev = (\n",
    "                        ddim_noise_scheduler.alphas_cumprod[prev_timestep]\n",
    "                        if prev_timestep >= 0\n",
    "                        else ddim_noise_scheduler.final_alpha_cumprod\n",
    "                    )\n",
    "            beta_prod_t = 1 - alpha_prod_t\n",
    "            ####\n",
    "            pred_original_sample = (latents - beta_prod_t ** (0.5) * noise_pred) / alpha_prod_t ** (0.5)\n",
    "            #### 重要\n",
    "            pred_original_sample = pred_original_sample.clamp(\n",
    "                -1.0, 1.0\n",
    "            )\n",
    "            ####\n",
    "            pred_epsilon = noise_pred\n",
    "            pred_sample_direction = (1 - alpha_prod_t_prev) ** (0.5) * pred_epsilon\n",
    "            prev_sample = alpha_prod_t_prev ** (0.5) * pred_original_sample + pred_sample_direction\n",
    "            ####\n",
    "            dstore_keys[step*args.train_batch_size:step*args.train_batch_size+bsz, index_t] = pred_original_sample.cpu().numpy()\n",
    "            latents = prev_sample\n",
    "            ####        \n",
    "        # break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a648adc-4f3e-47b5-b191-eddd6615a3a9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e7b0911-c04f-4a08-b319-93c73278bca6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f80ee7ce-e8b3-4794-9fb7-d234d52035cc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8cc9d29d-5320-4895-abbd-585d5f7c1db1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda:0\n",
      "DDIM!\n"
     ]
    }
   ],
   "source": [
    "if True:\n",
    "    set_seeds(42)\n",
    "    pipeline = DDIMPipeline(\n",
    "        unet=model,\n",
    "        scheduler=noise_scheduler,\n",
    "    ).to('cuda')\n",
    "    print(pipeline.device)\n",
    "    print('DDIM!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8e0801a6-df51-46ae-97a4-7123257b4387",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f1c289ae-b30f-4de5-a129-b21f67a22a85",
   "metadata": {},
   "outputs": [],
   "source": [
    "i = -2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3c9eccc0-30a2-45e4-96ac-9c131b92805b",
   "metadata": {},
   "outputs": [],
   "source": [
    "image = torch.from_numpy(dstore_keys[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "6374dd4f-8b4d-4ef3-b9a0-bd7b1d284828",
   "metadata": {},
   "outputs": [],
   "source": [
    "image = (image / 2 + 0.5).clamp(0, 1)\n",
    "image = image.cpu().permute(0, 2, 3, 1).numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "07746a75-9ac9-459c-906c-15958ccd781d",
   "metadata": {},
   "outputs": [],
   "source": [
    "images = pipeline.numpy_to_pil(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2bcd74c3-1dad-44dc-a69a-f246254dc727",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "567a8362-dd5d-4a76-b509-40b7237954dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "22ea39aa-20a2-40ab-bb46-f3a32a5b1c2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b4f8504b-5510-41f5-8e5c-afbf3b5f9007",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "88e77029-583f-4752-93d1-832408f766c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "14eaa376-781f-488a-b5e4-617d05b03432",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[25]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "5863f845-09f2-4d23-9c4e-51fc19b5a2fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0e634d9a-225a-4c08-8e1b-c54696cf5c61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[35]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "bffdf81c-6df5-42f1-8736-46a5ddc794d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[40]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0b27d726-26fe-4350-828e-53661fa4c29b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[45]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ed2c0144-895a-49e2-8484-a5e1b472c68f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d9219b6b-4fd4-41e4-94c1-06159a710ee1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[i]['img']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9f1f1d9d-37ad-4291-baf8-779af48aeb1c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9da04307-09f5-47da-b425-b745bda5986a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b9b514b5-f823-4a8b-8235-32da85a695c3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}