1069 lines
334 KiB
Plaintext
1069 lines
334 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "6603a8fc-d9da-4037-b845-d9c38bae4ce4",
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"metadata": {},
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"outputs": [],
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"source": [
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"import torch\n",
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"import torch.nn as nn\n",
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"import torch.nn.functional as F\n",
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"import torch.optim as optim\n",
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"from torch.utils.data import DataLoader, TensorDataset, random_split\n",
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"import os\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"import cv2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "adf69eb9-bedb-4db7-87c4-04c23752a7c3",
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"metadata": {},
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"outputs": [],
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"source": [
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"def load_data(pix, use_type='train'):\n",
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" datasets = list()\n",
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" file_list = [x for x in os.listdir(f\"./out_mat/{pix}/{use_type}/\") if x.endswith('.npy')]\n",
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" for file in file_list:\n",
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" file_img = np.load(f\"./out_mat/{pix}/{use_type}/{file}\")[:,:,:1]\n",
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" datasets.append(file_img)\n",
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" return np.asarray(datasets)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "e0aa628f-37b7-498a-94d7-81241c20b305",
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"metadata": {},
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"outputs": [],
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"source": [
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"train_set = load_data(96, 'train')\n",
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"val_set = load_data(96, 'valid')\n",
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"test_set = load_data(96, 'test')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "5d5f95cb-f40c-4ead-96fe-241068408b98",
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"metadata": {},
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"outputs": [],
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"source": [
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"def load_mask(mask_rate):\n",
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" mask_files = os.listdir(f'./out_mat/96/mask/{mask_rate}')\n",
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" masks = list()\n",
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" for file in mask_files:\n",
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" d = cv2.imread(f'./out_mat/96/mask/{mask_rate}/{file}', cv2.IMREAD_GRAYSCALE)\n",
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" d = (d > 0) * 1\n",
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" masks.append(d)\n",
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" return np.asarray(masks)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "71452a77-8158-46b2-aecf-400ad7b72df5",
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"metadata": {},
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"outputs": [],
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"source": [
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"masks = load_mask(20)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "1902e0f8-32bb-4376-8238-334260b12623",
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"metadata": {},
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"outputs": [],
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"source": [
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"maxs = train_set.max(axis=0)\n",
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"mins = train_set.min(axis=0)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "8df9f3c3-ced8-4640-af30-b2f147dbdc96",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"26749"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(train_set)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "53664b12-fd95-4dd0-b61d-20682f8f14f4",
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"metadata": {},
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"outputs": [],
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"source": [
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"norm_train = (train_set - mins) / (maxs-mins)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "05cb9dc8-c1df-48bf-a9dd-d084ce1d2068",
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"metadata": {},
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"outputs": [],
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"source": [
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"del train_set"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4ae39364-4cf6-49e9-b99f-6723520943b5",
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"metadata": {},
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"outputs": [],
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"source": [
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"norm_valid = (val_set - mins) / (maxs-mins)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7f78b981-d079-4000-ba9f-d862e34903b1",
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"metadata": {},
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"outputs": [],
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"source": [
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"del val_set"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f54eede6-e95a-4476-b822-79846c0b1079",
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"metadata": {},
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"outputs": [],
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"source": [
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"norm_test = (test_set - mins) / (maxs-mins)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e66887eb-df5e-46d3-b9c5-73af1272b27a",
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"metadata": {},
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"outputs": [],
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"source": [
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"del test_set"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "00afa8cd-18b4-4d71-8cab-fd140058dca3",
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"metadata": {},
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"outputs": [],
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"source": [
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"norm_train.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "31d91072-3878-4e3c-b6f1-09f597faf60d",
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"metadata": {},
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"outputs": [],
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"source": [
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"trans_train = np.transpose(norm_train, (0, 3, 1, 2))\n",
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"trans_val = np.transpose(norm_valid, (0, 3, 1, 2))\n",
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"trans_test = np.transpose(norm_test, (0, 3, 1, 2))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "70797703-1619-4be7-b965-5506b3d1e775",
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"metadata": {},
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"outputs": [],
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"source": [
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"# 可视化特定特征的函数\n",
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"def visualize_feature(input_feature,masked_feature, output_feature, title):\n",
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" plt.figure(figsize=(12, 6))\n",
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" plt.subplot(1, 3, 1)\n",
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" plt.imshow(input_feature[0].cpu().numpy(), cmap='RdYlGn_r')\n",
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" plt.title(title + \" Input\")\n",
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" plt.subplot(1, 3, 2)\n",
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" plt.imshow(masked_feature[0].cpu().numpy(), cmap='RdYlGn_r')\n",
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" plt.title(title + \" Masked\")\n",
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" plt.subplot(1, 3, 3)\n",
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" plt.imshow(output_feature[0].detach().cpu().numpy(), cmap='RdYlGn_r')\n",
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" plt.title(title + \" Recovery\")\n",
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" plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "aeda3567-4c4d-496b-9570-9ae757b45e72",
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"metadata": {},
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"outputs": [],
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"source": [
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"# 设置随机种子以确保结果的可重复性\n",
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"torch.manual_seed(0)\n",
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"np.random.seed(0)\n",
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"\n",
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"# 数据准备\n",
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"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
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"print(device)\n",
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"# 将numpy数组转换为PyTorch张量\n",
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"tensor_train = torch.tensor(trans_train.astype(np.float32), device=device)\n",
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"tensor_valid = torch.tensor(trans_val.astype(np.float32), device=device)\n",
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"tensor_test = torch.tensor(trans_test.astype(np.float32), device=device)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2353265d-91ef-4a84-b582-ea969d2ee252",
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"metadata": {},
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"outputs": [],
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"source": [
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"del trans_train\n",
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"del trans_val\n",
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"del trans_test"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1569baeb-5a9e-48c1-a735-82d0cba8ad29",
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"metadata": {},
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"outputs": [],
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"source": [
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"# 创建一个数据集和数据加载器\n",
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"train_set = TensorDataset(tensor_train, tensor_train) # 输出和标签相同,因为我们是自编码器\n",
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"val_set = TensorDataset(tensor_valid, tensor_valid)\n",
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"test_set = TensorDataset(tensor_test, tensor_test)\n",
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"batch_size = 64\n",
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"train_loader = DataLoader(train_set, batch_size=batch_size, shuffle=True)\n",
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"val_loader = DataLoader(val_set, batch_size=batch_size, shuffle=False)\n",
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"test_loader = DataLoader(test_set, batch_size=batch_size, shuffle=False)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3c81785d-f0e6-486f-8aad-dba81d2ec146",
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"metadata": {},
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"outputs": [],
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"source": [
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"def mask_data(data, device, masks):\n",
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" mask_inds = np.random.choice(masks.shape[0], data.shape[0])\n",
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" mask = torch.from_numpy(masks[mask_inds]).to(device)\n",
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" tmp_first_channel = data[:, 0, :, :] * mask\n",
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" masked_data = torch.clone(data)\n",
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" masked_data[:, 0, :, :] = tmp_first_channel\n",
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" return masked_data, mask"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "645114e8-65a4-4867-b3fe-23395288e855",
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"metadata": {},
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"outputs": [],
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"source": [
|
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"class Conv(nn.Sequential):\n",
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" def __init__(self, in_channels, out_channels, kernel_size=3, dilation=1, stride=1, bias=False):\n",
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" super(Conv, self).__init__(\n",
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" nn.Conv2d(in_channels, out_channels, kernel_size=kernel_size, bias=bias,\n",
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" dilation=dilation, stride=stride, padding=((stride - 1) + dilation * (kernel_size - 1)) // 2)\n",
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" )"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2af52d0e-b785-4a84-838c-6fcfe2568722",
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"metadata": {},
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"outputs": [],
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"source": [
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"class ConvBNReLU(nn.Sequential):\n",
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" def __init__(self, in_channels, out_channels, kernel_size=3, dilation=1, stride=1, norm_layer=nn.BatchNorm2d,\n",
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" bias=False):\n",
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" super(ConvBNReLU, self).__init__(\n",
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" nn.Conv2d(in_channels, out_channels, kernel_size=kernel_size, bias=bias,\n",
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" dilation=dilation, stride=stride, padding=((stride - 1) + dilation * (kernel_size - 1)) // 2),\n",
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" norm_layer(out_channels),\n",
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" nn.ReLU()\n",
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" )"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "31ecf247-e98b-4977-a145-782914a042bd",
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"metadata": {},
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"outputs": [],
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"source": [
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"class SeparableBNReLU(nn.Sequential):\n",
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" def __init__(self, in_channels, out_channels, kernel_size=3, stride=1, dilation=1, norm_layer=nn.BatchNorm2d):\n",
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" super(SeparableBNReLU, self).__init__(\n",
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" nn.Conv2d(in_channels, in_channels, kernel_size=kernel_size, stride=stride, dilation=dilation,\n",
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" padding=((stride - 1) + dilation * (kernel_size - 1)) // 2, groups=in_channels, bias=False),\n",
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" # 分离卷积,仅调整空间信息\n",
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" norm_layer(in_channels), # 对输入通道进行归一化\n",
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" nn.Conv2d(in_channels, out_channels, kernel_size=1, bias=False), # 这里进行升维操作\n",
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" nn.ReLU6()\n",
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" )"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7827bee2-74f7-4e47-b8c6-e41d5670e8b9",
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"metadata": {},
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"outputs": [],
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"source": [
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"class ResidualBlock(nn.Module):\n",
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" def __init__(self, in_channels, out_channels, stride=1, downsample=None):\n",
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" super(ResidualBlock, self).__init__()\n",
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" self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=stride, padding=1, bias=False)\n",
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" self.bn1 = nn.BatchNorm2d(out_channels)\n",
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" self.relu = nn.ReLU(inplace=True)\n",
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" self.conv2 = nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1, bias=False)\n",
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" self.bn2 = nn.BatchNorm2d(out_channels)\n",
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"\n",
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" # 如果输入和输出通道不一致,进行降采样操作\n",
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" self.downsample = downsample\n",
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" if in_channels != out_channels or stride != 1:\n",
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" self.downsample = nn.Sequential(\n",
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" nn.Conv2d(in_channels, out_channels, kernel_size=1, stride=stride, bias=False),\n",
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" nn.BatchNorm2d(out_channels)\n",
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" )\n",
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"\n",
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" def forward(self, x):\n",
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" identity = x\n",
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" if self.downsample is not None:\n",
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" identity = self.downsample(x)\n",
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"\n",
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" out = self.conv1(x)\n",
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" out = self.bn1(out)\n",
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" out = self.relu(out)\n",
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"\n",
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" out = self.conv2(out)\n",
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" out = self.bn2(out)\n",
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"\n",
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" out += identity\n",
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" out = self.relu(out)\n",
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" return out\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7853bf62-02f5-4917-b950-6fdfe467df4a",
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"metadata": {},
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"outputs": [],
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"source": [
|
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"class Mlp(nn.Module):\n",
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" def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.ReLU6, drop=0.):\n",
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" super().__init__()\n",
|
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" out_features = out_features or in_features\n",
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" hidden_features = hidden_features or in_features\n",
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" self.fc1 = nn.Conv2d(in_features, hidden_features, 1, 1, 0, bias=True)\n",
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"\n",
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" self.act = act_layer()\n",
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" self.fc2 = nn.Conv2d(hidden_features, out_features, 1, 1, 0, bias=True)\n",
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" self.drop = nn.Dropout(drop, inplace=True)\n",
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"\n",
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" def forward(self, x):\n",
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" x = self.fc1(x)\n",
|
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" x = self.act(x)\n",
|
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" x = self.drop(x)\n",
|
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" x = self.fc2(x)\n",
|
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" x = self.drop(x)\n",
|
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" return x"
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]
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},
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{
|
|
"cell_type": "code",
|
|
"execution_count": null,
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|
"id": "e2375881-a11b-47a7-8f56-2eadb25010b0",
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|
"metadata": {},
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|
"outputs": [],
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"source": [
|
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"class MultiHeadAttentionBlock(nn.Module):\n",
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" def __init__(self, embed_dim, num_heads, dropout=0.1):\n",
|
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" super(MultiHeadAttentionBlock, self).__init__()\n",
|
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" self.attention = nn.MultiheadAttention(embed_dim, num_heads, dropout=dropout)\n",
|
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" self.norm = nn.LayerNorm(embed_dim)\n",
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" self.dropout = nn.Dropout(dropout)\n",
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"\n",
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" def forward(self, x):\n",
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" # (B, C, H, W) -> (HW, B, C) for MultiheadAttention compatibility\n",
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" B, C, H, W = x.shape\n",
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" x = x.view(B, C, H * W).permute(2, 0, 1) # (B, C, H, W) -> (HW, B, C)\n",
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"\n",
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" # Apply multihead attention\n",
|
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" attn_output, _ = self.attention(x, x, x)\n",
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"\n",
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" # Apply normalization and dropout\n",
|
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" attn_output = self.norm(attn_output)\n",
|
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" attn_output = self.dropout(attn_output)\n",
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"\n",
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" # Reshape back to (B, C, H, W)\n",
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" attn_output = attn_output.permute(1, 2, 0).view(B, C, H, W)\n",
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"\n",
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" return attn_output"
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]
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},
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{
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"cell_type": "code",
|
|
"execution_count": 8,
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|
"id": "eea9678d-e170-4dd5-bf96-d20af4d40184",
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"metadata": {},
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|
"outputs": [
|
|
{
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"name": "stdout",
|
|
"output_type": "stream",
|
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"text": [
|
|
"Help on built-in function mean in module torch:\n",
|
|
"\n",
|
|
"mean(...)\n",
|
|
" mean(input, *, dtype=None) -> Tensor\n",
|
|
" \n",
|
|
" Returns the mean value of all elements in the :attr:`input` tensor.\n",
|
|
" \n",
|
|
" Args:\n",
|
|
" input (Tensor): the input tensor.\n",
|
|
" \n",
|
|
" Keyword args:\n",
|
|
" dtype (:class:`torch.dtype`, optional): the desired data type of returned tensor.\n",
|
|
" If specified, the input tensor is casted to :attr:`dtype` before the operation\n",
|
|
" is performed. This is useful for preventing data type overflows. Default: None.\n",
|
|
" \n",
|
|
" Example::\n",
|
|
" \n",
|
|
" >>> a = torch.randn(1, 3)\n",
|
|
" >>> a\n",
|
|
" tensor([[ 0.2294, -0.5481, 1.3288]])\n",
|
|
" >>> torch.mean(a)\n",
|
|
" tensor(0.3367)\n",
|
|
" \n",
|
|
" .. function:: mean(input, dim, keepdim=False, *, dtype=None, out=None) -> Tensor\n",
|
|
" :noindex:\n",
|
|
" \n",
|
|
" Returns the mean value of each row of the :attr:`input` tensor in the given\n",
|
|
" dimension :attr:`dim`. If :attr:`dim` is a list of dimensions,\n",
|
|
" reduce over all of them.\n",
|
|
" \n",
|
|
" \n",
|
|
" If :attr:`keepdim` is ``True``, the output tensor is of the same size\n",
|
|
" as :attr:`input` except in the dimension(s) :attr:`dim` where it is of size 1.\n",
|
|
" Otherwise, :attr:`dim` is squeezed (see :func:`torch.squeeze`), resulting in the\n",
|
|
" output tensor having 1 (or ``len(dim)``) fewer dimension(s).\n",
|
|
" \n",
|
|
" \n",
|
|
" Args:\n",
|
|
" input (Tensor): the input tensor.\n",
|
|
" dim (int or tuple of ints): the dimension or dimensions to reduce.\n",
|
|
" keepdim (bool): whether the output tensor has :attr:`dim` retained or not.\n",
|
|
" \n",
|
|
" Keyword args:\n",
|
|
" dtype (:class:`torch.dtype`, optional): the desired data type of returned tensor.\n",
|
|
" If specified, the input tensor is casted to :attr:`dtype` before the operation\n",
|
|
" is performed. This is useful for preventing data type overflows. Default: None.\n",
|
|
" out (Tensor, optional): the output tensor.\n",
|
|
" \n",
|
|
" .. seealso::\n",
|
|
" \n",
|
|
" :func:`torch.nanmean` computes the mean value of `non-NaN` elements.\n",
|
|
" \n",
|
|
" Example::\n",
|
|
" \n",
|
|
" >>> a = torch.randn(4, 4)\n",
|
|
" >>> a\n",
|
|
" tensor([[-0.3841, 0.6320, 0.4254, -0.7384],\n",
|
|
" [-0.9644, 1.0131, -0.6549, -1.4279],\n",
|
|
" [-0.2951, -1.3350, -0.7694, 0.5600],\n",
|
|
" [ 1.0842, -0.9580, 0.3623, 0.2343]])\n",
|
|
" >>> torch.mean(a, 1)\n",
|
|
" tensor([-0.0163, -0.5085, -0.4599, 0.1807])\n",
|
|
" >>> torch.mean(a, 1, True)\n",
|
|
" tensor([[-0.0163],\n",
|
|
" [-0.5085],\n",
|
|
" [-0.4599],\n",
|
|
" [ 0.1807]])\n",
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"help(torch.mean)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "82a15d3d-2f8d-42ec-9146-87c8a4abe384",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"class SpatialAttentionBlock(nn.Module):\n",
|
|
" def __init__(self):\n",
|
|
" super(SpatialAttentionBlock, self).__init__()\n",
|
|
" self.conv = nn.Conv2d(2, 1, kernel_size=7, padding=3, bias=False)\n",
|
|
"\n",
|
|
" def forward(self, x): #(B, 64, H, W)\n",
|
|
" avg_out = torch.mean(x, dim=1, keepdim=True) #(B, 1, H, W)\n",
|
|
" max_out, _ = torch.max(x, dim=1, keepdim=True)#(B, 1, H, W)\n",
|
|
" out = torch.cat([avg_out, max_out], dim=1)#(B, 2, H, W)\n",
|
|
" out = torch.sigmoid(self.conv(out))#(B, 1, H, W)\n",
|
|
" return x * out #(B, C, H, W)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "497bb9f1-1ac5-4d7f-a930-0ea222b9d1d9",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"class DecoderAttentionBlock(nn.Module):\n",
|
|
" def __init__(self, in_channels):\n",
|
|
" super(DecoderAttentionBlock, self).__init__()\n",
|
|
" self.conv1 = nn.Conv2d(in_channels, in_channels // 2, kernel_size=1)\n",
|
|
" self.conv2 = nn.Conv2d(in_channels // 2, in_channels, kernel_size=1)\n",
|
|
" self.spatial_attention = SpatialAttentionBlock()\n",
|
|
"\n",
|
|
" def forward(self, x):\n",
|
|
" # 通道注意力\n",
|
|
" b, c, h, w = x.size()\n",
|
|
" avg_pool = F.adaptive_avg_pool2d(x, 1)\n",
|
|
" max_pool = F.adaptive_max_pool2d(x, 1)\n",
|
|
"\n",
|
|
" avg_out = self.conv1(avg_pool)\n",
|
|
" max_out = self.conv1(max_pool)\n",
|
|
"\n",
|
|
" out = avg_out + max_out\n",
|
|
" out = torch.sigmoid(self.conv2(out))\n",
|
|
"\n",
|
|
" # 添加空间注意力\n",
|
|
" out = x * out\n",
|
|
" out = self.spatial_attention(out)\n",
|
|
" return out"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "15b9d453-d8d9-43b8-aca2-904735fb3a99",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"class SEBlock(nn.Module):\n",
|
|
" def __init__(self, in_channels, reduced_dim):\n",
|
|
" super(SEBlock, self).__init__()\n",
|
|
" self.se = nn.Sequential(\n",
|
|
" nn.AdaptiveAvgPool2d(1), # 全局平均池化\n",
|
|
" nn.Conv2d(in_channels, reduced_dim, kernel_size=1),\n",
|
|
" nn.ReLU(),\n",
|
|
" nn.Conv2d(reduced_dim, in_channels, kernel_size=1),\n",
|
|
" nn.Sigmoid() # 使用Sigmoid是因为我们要对通道进行权重归一化\n",
|
|
" )\n",
|
|
"\n",
|
|
" def forward(self, x):\n",
|
|
" return x * self.se(x)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "6379adb7-8a87-4dd8-a695-4013a7b37830",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 定义Masked Autoencoder模型\n",
|
|
"class MaskedAutoencoder(nn.Module):\n",
|
|
" def __init__(self):\n",
|
|
" super(MaskedAutoencoder, self).__init__()\n",
|
|
" self.encoder = nn.Sequential(\n",
|
|
" Conv(1, 32, kernel_size=3, stride=2),\n",
|
|
" \n",
|
|
" nn.ReLU(),\n",
|
|
" \n",
|
|
" SEBlock(32,32),\n",
|
|
" \n",
|
|
" ConvBNReLU(32, 64, kernel_size=3, stride=2),\n",
|
|
" \n",
|
|
" ResidualBlock(64,64),\n",
|
|
" \n",
|
|
" SeparableBNReLU(64, 128, kernel_size=3, stride=2),\n",
|
|
" \n",
|
|
" MultiHeadAttentionBlock(embed_dim=128, num_heads=4),\n",
|
|
" \n",
|
|
" SEBlock(128, 128)\n",
|
|
" )\n",
|
|
" self.mlp = Mlp(in_features=128, hidden_features=256, out_features=128, act_layer=nn.ReLU6, drop=0.1)\n",
|
|
" self.decoder = nn.Sequential(\n",
|
|
" nn.ConvTranspose2d(128, 32, kernel_size=3, stride=2, padding=1, output_padding=1),\n",
|
|
" nn.ReLU(),\n",
|
|
" \n",
|
|
" DecoderAttentionBlock(32),\n",
|
|
" nn.ConvTranspose2d(32, 16, kernel_size=3, stride=2, padding=1, output_padding=1),\n",
|
|
" nn.ReLU(),\n",
|
|
" \n",
|
|
" DecoderAttentionBlock(16),\n",
|
|
" nn.ReLU(),\n",
|
|
" \n",
|
|
" nn.ConvTranspose2d(16, 1, kernel_size=3, stride=2, padding=1, output_padding=1), # 修改为 output_padding=1\n",
|
|
" nn.Sigmoid()\n",
|
|
" )\n",
|
|
"\n",
|
|
" def forward(self, x):\n",
|
|
" encoded = self.encoder(x)\n",
|
|
" decoded = self.decoder(encoded)\n",
|
|
" return decoded\n",
|
|
"\n",
|
|
"# 实例化模型、损失函数和优化器\n",
|
|
"model = MaskedAutoencoder()\n",
|
|
"criterion = nn.MSELoss()\n",
|
|
"optimizer = torch.optim.Adam(model.parameters(), lr=0.001)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "fea37b5f-817d-4850-8393-36910cf64eb2",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 定义Masked Autoencoder模型\n",
|
|
"class MaskedAutoencoderBase(nn.Module):\n",
|
|
" def __init__(self):\n",
|
|
" super(MaskedAutoencoderBase, self).__init__()\n",
|
|
" self.encoder = nn.Sequential(\n",
|
|
" nn.Conv2d(1, 32, kernel_size=3, stride=2, padding=1),\n",
|
|
" nn.ReLU(),\n",
|
|
" nn.Conv2d(32, 64, kernel_size=3, stride=2, padding=1),\n",
|
|
" nn.ReLU(),\n",
|
|
" nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1),\n",
|
|
" nn.ReLU(),\n",
|
|
" SEBlock(128, 128)\n",
|
|
" )\n",
|
|
" self.decoder = nn.Sequential(\n",
|
|
" nn.ConvTranspose2d(128, 32, kernel_size=3, stride=2, padding=1, output_padding=1),\n",
|
|
" nn.ReLU(),\n",
|
|
" nn.ConvTranspose2d(32, 16, kernel_size=3, stride=2, padding=1, output_padding=1),\n",
|
|
" nn.ReLU(),\n",
|
|
" nn.ConvTranspose2d(16, 1, kernel_size=3, stride=2, padding=1, output_padding=1),\n",
|
|
" nn.Sigmoid() # 使用Sigmoid是因为输入数据是0-1之间的\n",
|
|
" )\n",
|
|
"\n",
|
|
" def forward(self, x):\n",
|
|
" encoded = self.encoder(x)\n",
|
|
" decoded = self.decoder(encoded)\n",
|
|
" return decoded\n",
|
|
"\n",
|
|
"# 实例化模型、损失函数和优化器\n",
|
|
"model = MaskedAutoencoderBase()\n",
|
|
"criterion = nn.MSELoss()\n",
|
|
"optimizer = torch.optim.Adam(model.parameters(), lr=0.001)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "404a8bfb-4976-4cce-b989-c5e401bce0d7",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 训练函数\n",
|
|
"def train_epoch(model, device, data_loader, criterion, optimizer):\n",
|
|
" model.train()\n",
|
|
" running_loss = 0.0\n",
|
|
" for batch_idx, (data, _) in enumerate(data_loader):\n",
|
|
" masked_data, mask = mask_data(data, device, masks)\n",
|
|
" optimizer.zero_grad()\n",
|
|
" reconstructed = model(masked_data)\n",
|
|
" loss = criterion(reconstructed, data)\n",
|
|
" loss.backward()\n",
|
|
" optimizer.step()\n",
|
|
" running_loss += loss.item()\n",
|
|
" return running_loss / (batch_idx + 1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "94457c6b-4c6e-4aff-946d-fe4c670bfe16",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 评估函数\n",
|
|
"def evaluate(model, device, data_loader, criterion):\n",
|
|
" model.eval()\n",
|
|
" running_loss = 0.0\n",
|
|
" with torch.no_grad():\n",
|
|
" for batch_idx, (data, _) in enumerate(data_loader):\n",
|
|
" data = data.to(device)\n",
|
|
" masked_data, mask = mask_data(data, device, masks)\n",
|
|
" reconstructed = model(masked_data)\n",
|
|
" if batch_idx == 8:\n",
|
|
" rand_ind = np.random.randint(0, len(data))\n",
|
|
" visualize_feature(data[rand_ind], masked_data[rand_ind], reconstructed[rand_ind], title='NO_2')\n",
|
|
" loss = criterion(reconstructed, data)\n",
|
|
" running_loss += loss.item()\n",
|
|
" return running_loss / (batch_idx + 1)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a1847c78-cbc6-4560-bb49-4dc6e9b8bbd0",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# 测试函数\n",
|
|
"def test(model, device, data_loader):\n",
|
|
" model.eval()\n",
|
|
" with torch.no_grad():\n",
|
|
" for batch_idx, (data, _) in enumerate(data_loader):\n",
|
|
" data = data.to(device)\n",
|
|
" masked_data, mask = mask_data(data, device, masks)\n",
|
|
" masked_ind = np.argwhere(masked_data[0][0]==0)\n",
|
|
" reconstructed = model(masked_data)\n",
|
|
" recon_no2 = reconstructed[0][0]\n",
|
|
" ori_no2 = data[0][0]\n",
|
|
" return"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "743d1000-561e-4444-8b49-88346c14f28b",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"model = model.to(device)\n",
|
|
"\n",
|
|
"num_epochs = 100\n",
|
|
"train_losses = list()\n",
|
|
"val_losses = list()\n",
|
|
"for epoch in range(num_epochs):\n",
|
|
" train_loss = train_epoch(model, device, train_loader, criterion, optimizer)\n",
|
|
" train_losses.append(train_loss)\n",
|
|
" val_loss = evaluate(model, device, val_loader, criterion)\n",
|
|
" val_losses.append(val_loss)\n",
|
|
" print(f'Epoch {epoch+1}, Train Loss: {train_loss}, Val Loss: {val_loss}')\n",
|
|
"\n",
|
|
"# 测试模型\n",
|
|
"test_loss = evaluate(model, device, test_loader, criterion)\n",
|
|
"print(f'Test Loss: {test_loss}')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "cdc0d608-6f0a-43dc-8cc1-8acf68215d18",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"tr_ind = list(range(len(train_losses)))\n",
|
|
"val_ind = list(range(len(val_losses)))\n",
|
|
"plt.plot(train_losses, label='train_loss')\n",
|
|
"plt.plot(val_losses, label='val_loss')\n",
|
|
"plt.legend(loc='best')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a8467686-0655-4056-8e01-56299eb89d7c",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_percentage_error, mean_absolute_error"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "dae7427e-548e-4276-a4ea-bc9b279d44e8",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"real_list = list()\n",
|
|
"pred_list = list()\n",
|
|
"with torch.no_grad():\n",
|
|
" device = 'cpu'\n",
|
|
" for batch_idx, (data, _) in enumerate(test_loader):\n",
|
|
" model = model.to(device)\n",
|
|
" data = data.to(device)\n",
|
|
" masked_data, mask = mask_data(data, device, masks)\n",
|
|
" mask_rev = (mask==0) * 1 # mask取反获得修复区域\n",
|
|
" reconstructed = model(masked_data)\n",
|
|
" tr_maxs = np.transpose(maxs, (2, 0, 1))\n",
|
|
" tr_mins = np.transpose(mins, (2, 0, 1))\n",
|
|
" rev_data = data * (tr_maxs - tr_mins) + tr_mins\n",
|
|
" rev_recon = reconstructed * (tr_maxs - tr_mins) + tr_mins\n",
|
|
" # todo: 这里需要只评估修补出来的模块\n",
|
|
" data_label = torch.squeeze(rev_data, dim=1) * mask_rev\n",
|
|
" data_label = data_label[mask_rev==1]\n",
|
|
" recon_no2 = torch.squeeze(rev_recon, dim=1) * mask_rev\n",
|
|
" recon_no2 = recon_no2[mask_rev==1]\n",
|
|
" real_list.extend(data_label)\n",
|
|
" pred_list.extend(recon_no2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "94e58640-42a9-4d54-a851-c7fc3a6e06ce",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"abs(np.asarray(real_list) - np.asarray(pred_list))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 84,
|
|
"id": "acee2abc-2f3f-4d19-a6e4-85ad4d1aaacf",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 1200x600 with 3 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"visualize_feature(data[5], masked_data[5], reconstructed[5], 'NO2')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "1ada99bf-6bea-4e46-a3bd-f62510517c8e",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# real_list = list()\n",
|
|
"# pred_list = list()\n",
|
|
"# with torch.no_grad():\n",
|
|
"# device = 'cpu'\n",
|
|
"# for batch_idx, (data, _) in enumerate(test_loader):\n",
|
|
"# model = model.to(device)\n",
|
|
"# data = data.to(device)\n",
|
|
"# masked_data, mask = mask_data(data, device, masks)\n",
|
|
"# mask_rev = (mask==0) * 1 # mask取反获得修复区域\n",
|
|
"# reconstructed = model(masked_data)\n",
|
|
"# tr_maxs = np.transpose(maxs, (2, 0, 1))\n",
|
|
"# tr_mins = np.transpose(mins, (2, 0, 1))\n",
|
|
"# rev_data = data * (tr_maxs - tr_mins) + tr_mins\n",
|
|
"# rev_recon = reconstructed * (tr_maxs - tr_mins) + tr_mins\n",
|
|
"# # todo: 这里需要只评估修补出来的模块\n",
|
|
"# data_label = torch.squeeze(rev_data, dim=1) * mask_rev\n",
|
|
"# data_label = data_label[mask_rev==1]\n",
|
|
"# recon_no2 = torch.squeeze(rev_recon, dim=1) * mask_rev\n",
|
|
"# recon_no2 = recon_no2[mask_rev==1]\n",
|
|
"# real_list.extend(data_label)\n",
|
|
"# pred_list.extend(recon_no2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"id": "8332744e-5b90-4702-a3b7-66309ffb1956",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"a = torch.randn(1, 1, 4, 4)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"id": "216bce16-246e-4431-95e7-2c3a9d894fe2",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"avg_out = torch.mean(a, dim=1, keepdim=True) #(B, 1, H, W)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"id": "0b954708-269f-4b5a-ad65-03ecf58a9549",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"torch.Size([1, 1, 4, 4])"
|
|
]
|
|
},
|
|
"execution_count": 22,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"avg_out.shape"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 23,
|
|
"id": "31ac2d6d-79c6-4ed8-a9e5-0ec37a6a9e4a",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"tensor([[-0.0919, 1.9463, -0.6934, 0.1982],\n",
|
|
" [ 0.1241, 0.5442, 0.4565, 0.3567],\n",
|
|
" [ 0.8672, -0.8656, -0.4287, -0.4634],\n",
|
|
" [ 1.8194, 0.3727, 1.1409, 0.6761]])"
|
|
]
|
|
},
|
|
"execution_count": 23,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"a[0][0]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 24,
|
|
"id": "4c660fa7-851b-456c-9881-88f81079121c",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"tensor([[-0.0919, 1.9463, -0.6934, 0.1982],\n",
|
|
" [ 0.1241, 0.5442, 0.4565, 0.3567],\n",
|
|
" [ 0.8672, -0.8656, -0.4287, -0.4634],\n",
|
|
" [ 1.8194, 0.3727, 1.1409, 0.6761]])"
|
|
]
|
|
},
|
|
"execution_count": 24,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"avg_out[0][0]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 25,
|
|
"id": "5905c4ff-613b-4f08-a7a1-2bafb4fc0ba2",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import numpy as np"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 26,
|
|
"id": "279cb531-aefc-4be2-8d98-b09c3c595a9a",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"tensor([[[[-0.0919, 1.9463, -0.6934, 0.1982],\n",
|
|
" [ 0.1241, 0.5442, 0.4565, 0.3567],\n",
|
|
" [ 0.8672, -0.8656, -0.4287, -0.4634],\n",
|
|
" [ 1.8194, 0.3727, 1.1409, 0.6761]]]])"
|
|
]
|
|
},
|
|
"execution_count": 26,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"avg_out"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 27,
|
|
"id": "19ae1030-1d4d-4a0b-b307-412456f27f47",
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"metadata": {},
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{
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"data": {
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"text/plain": [
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"tensor([[[[-0.0919, 1.9463, -0.6934, 0.1982],\n",
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" [ 1.8194, 0.3727, 1.1409, 0.6761]]]])"
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]
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},
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"execution_count": 27,
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"metadata": {},
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}
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],
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"source": [
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"avg_out"
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},
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{
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"id": "e10712cd-45fc-44a3-b359-5a62cae1c33c",
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"metadata": {},
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"outputs": [],
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"name": "python3"
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"name": "python",
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