Every run_nvfp4_grouped_gemm call must pass out= with a pre-allocated
buffer. During CUDA graph capture, torch.zeros() allocations are
forbidden — they cause 'cudaErrorStreamCaptureUnsupported' errors.
Added:
- shared_expert: _l2_out_buf for L2 GEMM
- shared_expert: pass out= for both L1 and L2 GEMM calls
- moe: _l2_out_buf for L2 GEMM
- moe: pass out= for unfused L1 GEMM (fused L1 already had it)
- moe: pass out= for L2 GEMM
- linear: _gemm_out_buf for all GEMM calls
- linear: pass out= for both run() and run_from_quantized() paths
grouped_linear already had _output_buf_padded — no changes needed.
biondizzle
e7766254b7