修正:一个严重的错误

chapter4/4.2.2-tensorboardx.ipynb

@@ -302,9 +302,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Train Epoch: 0 [14848/60000 (25%)]\tLoss: 0.405838\n",
-      "Train Epoch: 0 [30208/60000 (50%)]\tLoss: 0.206041\n",
-      "Train Epoch: 0 [45568/60000 (75%)]\tLoss: 0.144166\n"
+      "Train Epoch: 0 [14848/60000 (25%)]\tLoss: 0.271775\n",
+      "warning: Embedding dir exists, did you set global_step for add_embedding()?\n",
+      "Train Epoch: 0 [30208/60000 (50%)]\tLoss: 0.175213\n",
+      "warning: Embedding dir exists, did you set global_step for add_embedding()?\n",
+      "Train Epoch: 0 [45568/60000 (75%)]\tLoss: 0.115128\n",
+      "warning: Embedding dir exists, did you set global_step for add_embedding()?\n"
      ]
     }
    ],
@@ -382,7 +385,7 @@
     }
    ],
    "source": [
-    "vgg16 = models.vgg16() # 这里下载预训练好的模型\n",
+    "vgg16 = models.vgg16(pretrained=True) # 这里下载预训练好的模型\n",
     "print(vgg16) # 打印一下这个模型"
    ]
   },
@@ -401,14 +404,10 @@
    "source": [
     "transform_2 = transforms.Compose([\n",
     "    transforms.Resize(224), \n",
-    "    transforms.CenterCrop(224),\n",
+    "    transforms.CenterCrop((224,224)),\n",
     "    transforms.ToTensor(),\n",
-    "    # convert RGB to BGR\n",
-    "    # from <https://github.com/mrzhu-cool/pix2pix-pytorch/blob/master/util.py>\n",
-    "    transforms.Lambda(lambda x: torch.index_select(x, 0, torch.LongTensor([2, 1, 0]))),\n",
-    "    transforms.Lambda(lambda x: x*255),\n",
-    "    transforms.Normalize(mean = [103.939, 116.779, 123.68],\n",
-    "                          std = [ 1, 1, 1 ]),\n",
+    "    transforms.Normalize(mean=[0.485, 0.456, 0.406],\n",
+    "                                std=[0.229, 0.224, 0.225])\n",
     "])"
    ]
   },
@@ -453,17 +452,21 @@
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(1, 1000) 931\n"
-     ]
+     "data": {
+      "text/plain": [
+       "287"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "raw_score = vgg16(vgg16_input)\n",
-    "raw_score_numpy = raw_score.data.numpy()\n",
-    "print(raw_score_numpy.shape, np.argmax(raw_score_numpy.ravel()))"
+    "out = vgg16(vgg16_input)\n",
+    "_, preds = torch.max(out.data, 1)\n",
+    "label=preds.numpy()[0]\n",
+    "label"
    ]
   },
   {
@@ -487,7 +490,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "打开tensorboard找到graphs 看看效果吧"
+    "打开tensorboard找到graphs就可以看到vgg模型具体的架构了"
    ]
   },
   {