HOTFIX: remove NaN checks from run() — torch.isnan().any() does CPU-GPU sync, breaks cudagraph

vllm/nvfp4_cutedsl.py

@@ -466,11 +466,6 @@ class CuTeDSLMoERunner:
             global_scale_a=l1_gsa, global_scale_b=self._l1_gsb,
         )
         
-        # DEBUG: Check for NaN after L1 GEMM
-        if torch.isnan(l1_out).any():
-            nan_count = torch.isnan(l1_out).sum().item()
-            print(f"[CLAWMINE] NaN in L1 output! {nan_count}/{l1_out.numel()} values are NaN")
-        
         # Extract real token outputs from padded GEMM output
         l1_out_real = l1_out[padded_dst]
         
@@ -507,11 +502,6 @@ class CuTeDSLMoERunner:
             global_scale_a=l2_gsa, global_scale_b=self._l2_gsb,
         )
         
-        # DEBUG: Check for NaN after L2 GEMM
-        if torch.isnan(l2_out).any():
-            nan_count = torch.isnan(l2_out).sum().item()
-            print(f"[CLAWMINE] NaN in L2 output! {nan_count}/{l2_out.numel()} values are NaN")
-        
         l2_out_real = l2_out[padded_dst]
         
         # === Scatter -> final output ===