You can use PyTorch's torch.fx symbolic tracing tool to debug generative model architectures by capturing and inspecting their computation graphs.
Here is the code snippet you can refer to:
In the above code, we are using the following steps:
- symbolic_trace: Captures the model's computation graph.
- Graph Inspection: Analyze and debug operations and node relationships.
- Modify Graph: Allows programmatic changes to the architecture if needed.
Hence, by referring to above, you can use a framework s symbolic tracing tool to debug generative model architectures