- gemm_runner.py: Add out= parameter to run_nvfp4_grouped_gemm and
run_fused_swiglu_grouped_gemm to accept pre-allocated output buffers
- quantize.py: Replace torch.zeros_like/torch.zeros with scalar 0.0 in
torch.where() calls (graph-capturable, no memory allocation)
- Both fixes prevent 'Disallowed operation during CUDA stream capture'
errors during graph capture
biondizzle
188ecae47f