[Kernels] Modular kernel refactor (#24812)

Signed-off-by: Bill Nell <bnell@redhat.com>

tests/kernels/moe/modular_kernel_tools/mk_objects.py

@@ -244,7 +244,7 @@ if has_flashinfer_cutlass_fused_moe() and current_platform.has_device_capability
     register_prepare_and_finalize(
         FlashInferCutlassMoEPrepareAndFinalize,
         standard_format,
-        nvfp4_types,
+        nvfp4_types + fp8_types,
         blocked_quantization_support=True,
         backend=None,
         force_multigpu=True,
@@ -254,7 +254,7 @@ if has_flashinfer_cutlass_fused_moe() and current_platform.has_device_capability
     register_experts(
         FlashInferExperts,
         standard_format,
-        nvfp4_types,
+        nvfp4_types + fp8_types,
         blocked_quantization_support=True,
         supports_chunking=True,
         # Note: this is a hack to get it to run for now
@@ -274,17 +274,15 @@ if has_deep_gemm() and is_deep_gemm_supported():
         needs_matching_quant=False,
         needs_deep_gemm=True,
     )
-    (
-        register_experts(
-            DeepGemmExperts,
-            standard_format,
-            fp8_types,
-            blocked_quantization_support=True,
-            supports_chunking=True,
-            supports_expert_map=True,
-            needs_matching_quant=False,
-            needs_deep_gemm=True,
-        ),
+    register_experts(
+        DeepGemmExperts,
+        standard_format,
+        fp8_types,
+        blocked_quantization_support=True,
+        supports_chunking=True,
+        supports_expert_map=True,
+        needs_matching_quant=False,
+        needs_deep_gemm=True,
     )
     register_experts(
         BatchedTritonOrDeepGemmExperts,
@@ -464,7 +462,7 @@ def make_fused_experts(
         print(f"Making BatchedTritonOrDeepGemmExperts {kwargs} ...")
         experts = BatchedTritonOrDeepGemmExperts(**kwargs)
     elif fused_experts_type == DeepGemmExperts:
-        print("Making DeepGemmExperts {quant_config} ...")
+        print(f"Making DeepGemmExperts {quant_config} ...")
         experts = DeepGemmExperts(quant_config)
     elif fused_experts_type == TritonExperts:
         kwargs = quant_kwargs