fix pep8

Signed-off-by: Yiheng Wang <vennw@nvidia.com>

Author: yiheng-wang-nv

acceleration/fast_inference_tutorial/fast_inference_tutorial.ipynb

@@ -42,13 +42,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Install environment"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "## Setup environment\n",
+    "\n",
     "Loading data directly from disk to GPU memory requires the `kvikio` library. In addition, this tutorial requires many other dependencies such as `monai`, `torch`, `torch_tensorrt`, `numpy`, `ignite`, `pandas`, `matplotlib`, etc. We recommend using the [MONAI Docker](https://docs.monai.io/en/latest/installation.html#from-dockerhub) image to run this tutorial, which includes pre-configured dependencies and allows you to skip manual installation.\n",
     "\n",
     "If not using MONAI Docker, install `kvikio` using one of these methods:\n",
@@ -113,10 +108,10 @@
     "from monai.inferers import sliding_window_inference\n",
     "from monai.networks.nets import SegResNet\n",
     "import matplotlib.pyplot as plt\n",
-    "import torch\n",
     "import gc\n",
     "import pandas as pd\n",
     "from timeit import default_timer as timer\n",
+    "from utils import prepare_test_datalist, prepare_model_weights, prepare_tensorrt_model\n",
     "\n",
     "print_config()"
    ]
@@ -284,8 +279,6 @@
     }
    ],
    "source": [
-    "from utils import prepare_test_datalist, prepare_model_weights, prepare_tensorrt_model\n",
-    "\n",
     "root_dir = \".\"\n",
     "torch.backends.cudnn.benchmark = True\n",
     "torch_tensorrt.runtime.set_multi_device_safe_mode(True)\n",
@@ -465,7 +458,7 @@
    "outputs": [],
    "source": [
     "# collect benchmark results\n",
-    "all_df = pd.read_csv(os.path.join(root_dir, f\"time_original.csv\"))\n",
+    "all_df = pd.read_csv(os.path.join(root_dir, \"time_original.csv\"))\n",
     "all_df.columns = [\"file_name\", \"original_time\"]\n",
     "\n",
     "for benchmark_type in [\"trt\", \"trt_gpu_transforms\", \"trt_gds_gpu_transforms\"]:\n",