fix coverage

Signed-off-by: yiliu30 <[email protected]>

neural_compressor/torch/algorithms/pt2e_quant/half_precision_rewriter.py

@@ -164,11 +164,11 @@ def _parse_node_candidate_set_from_user_config(config, gm):
     op_name_filters = []
     for op_type_name, config in op_type_configs.items():
         op_type = getattr(torch.nn, op_type_name)
-        if config.act_dtype == "fp16":
+        if config.act_dtype == "fp16":  # pragma: no cover
             filter = xpq._get_module_type_filter(op_type)
             op_type_filters.append(filter)
     for op_name, config in op_name_configs.items():
-        if config.act_dtype == "fp16":
+        if config.act_dtype == "fp16":  # pragma: no cover
             filter = xpq._get_module_name_filter(op_name)
             op_name_filters.append(filter)
     node_set_from_user_config = set()

neural_compressor/torch/algorithms/pt2e_quant/utility.py

@@ -80,8 +80,8 @@ def create_xiq_quantizer_from_pt2e_config(config, is_dynamic=False) -> X86Induct
     # set global
     global_config = _map_inc_config_to_torch_quant_config(config, is_dynamic)
     quantizer.set_global(global_config)
-    # Skip the local config for now (need torch >= 2.3.2)
-    if GT_TORCH_VERSION_2_3_2:
+    # need torch >= 2.3.2
+    if GT_TORCH_VERSION_2_3_2:  # pragma: no cover
         op_type_config_dict, op_name_config_dict = config._get_op_name_op_type_config()
         if op_type_config_dict:
             for op_type, config in op_type_config_dict.items():