torch-cudagraph-debug

Investigate real PyTorch CUDA Graph tensor mismatches, replay drift, NaNs, gradients, allocator growth, pool behavior, or eager-versus-graph differences with torch-cudagraph-debug. Use when debugging CUDA Graph accuracy or GPU memory issues in an application workload, conducting a fresh investigation, or analyzing persisted bundles. Do not use for implementing the debug library itself or for generic CUDA questions that do not require its public APIs.