已安装pydot与graphviz仍报错，TensorFlow GPU依赖缺失及Keras模型可视化问题求助

Hey there! I see you've already tried installing the Python packages for pydot and graphviz, but you're still hitting that frustrating ImportError. Let's work through fixing this step by step:

1. Understand the Root Cause #

The graphviz Python package you installed via pip is just a wrapper/interface—it doesn't include the actual Graphviz binary program that handles the model plotting. You need to install the system-level Graphviz software first, which the Python package relies on.

2. Install System-Level Graphviz (Windows) #

Since your file paths show you're on Windows:

• Head to the official Graphviz download page and grab the stable Windows installer (pick the version matching your system architecture—32-bit or 64-bit).
• When running the installer, make sure to check the box labeled "Add Graphviz to the system PATH" during setup. If you skip this, you'll need to manually add the bin folder from your Graphviz installation directory (typically C:\Program Files\Graphviz\bin or similar) to your system's PATH environment variable.

3. Verify the Installation #

Close any existing command prompts or IDEs, open a fresh one, and run this command:

dot -V

If you see output showing the Graphviz version (like dot - graphviz 2.49.3), that means the system installation worked correctly.

4. Refresh Your Environment & Retry #

Restart your Python IDE (PyCharm, VS Code, etc.) or command line session—this ensures the new PATH settings are picked up. Then try running your code again.

5. Optional: Upgrade Python Packages #

To ensure you have the latest versions of the related packages, run:

pip install --upgrade pydot pydotplus graphviz

Bonus: About Those TensorFlow CUDA Warnings #

Don't stress over the cudart64_110.dll and other CUDA-related warnings—those just mean TensorFlow can't find GPU libraries, which is totally normal if you don't have an NVIDIA GPU set up. TensorFlow will automatically fall back to using your CPU, so those warnings won't block your code once the graphviz issue is fixed.

内容的提问来源于stack exchange，提问作者Barkın Özer