[pre-commit.ci] auto fixes from pre-commit.com hooks

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Author: pre-commit-ci[bot]

generation/realism_diversity_metrics/realism_diversity_metrics.ipynb

@@ -262,7 +262,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "import torch\n",
     "\n",
     "unet_url = \"https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/tutorial_generation_unet.pth\"\n",
@@ -327,7 +326,9 @@
     "scheduler.set_timesteps(num_inference_steps=1000)\n",
     "\n",
     "with torch.no_grad():\n",
-    "    syn_images = inferer.sample(input_noise=noise, diffusion_model=unet, scheduler=scheduler, autoencoder_model=autoencoderkl)\n",
+    "    syn_images = inferer.sample(\n",
+    "        input_noise=noise, diffusion_model=unet, scheduler=scheduler, autoencoder_model=autoencoderkl\n",
+    "    )\n",
     "\n",
     "# Plot 3 examples from the synthetic data\n",
     "fig, ax = plt.subplots(nrows=1, ncols=3)\n",
@@ -395,7 +396,9 @@
     "    scheduler.set_timesteps(num_inference_steps=1000)\n",
     "\n",
     "    with torch.no_grad():\n",
-    "        syn_images = inferer.sample(input_noise=noise, diffusion_model=unet, scheduler=scheduler, autoencoder_model=autoencoderkl)\n",
+    "        syn_images = inferer.sample(\n",
+    "            input_noise=noise, diffusion_model=unet, scheduler=scheduler, autoencoder_model=autoencoderkl\n",
+    "        )\n",
     "\n",
     "        # Get the features for the real data\n",
     "        real_eval_feats = get_features(real_images)\n",