Update Tutorial.md

Author: cabooster

Tutorial.md

@@ -15,22 +15,31 @@ If you encounter any issues during installation or usage, please refer to the [Q
 * Pytorch 1.7.1
 * NVIDIA GPU (GeForce RTX 3090) + CUDA (11.7)
 
-#### Environment Configuration 
+#### Environment Configuration
 
 1. Create a virtual environment and install PyTorch.
 
    ```
    $ conda create -n udmt python=3.8
    $ conda activate udmt
-   $ pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
    $ sudo apt-get install ninja-build
    $ sudo apt-get install libturbojpeg
    ```
-
-2. We made a installable pip release of UDMT [[pypi](https://pypi.org/project/udmt-pip/)]. You can install it by entering the following command:
+    If your CUDA version is **12.x**, run:
+    ```
+    pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu121
+    ```
+    If your CUDA version is **11.x**, run:
+    ```
+    pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu113
+    ```
+2. Install other dependencies.
 
    ```
-   $ pip install udmt-pip
+   $ conda activate udmt
+   $ git clone https://github.com/cabooster/UDMT.git
+   $ cd UDMT/
+   $ pip install -r requirements.txt
    ```
 
 ### 2. For Windows