[bugfix] fix get_logger

src/mcore_bridge/model/gpts/deepseek_v4.py

@@ -503,7 +503,7 @@ def _set_param(self, param, tensor, scale_inv):
         tensor = fp4_to_fp8(tensor)
         tensor = tensor.reshape(*param.shape)
         scale_inv = scale_inv.reshape(-1, scale_inv.shape[-1])
-        tensor = Fp8Dequantizer().convert(tensor, scale_inv)
+        tensor = Fp8Dequantizer(block_size='auto').convert(tensor, scale_inv)
         if self._is_fp8_param(param):
             param._high_precision_init_val.copy_(tensor)
         param.data.copy_(tensor)

src/mcore_bridge/model/mm_gpts/gemma4.py

@@ -21,14 +21,14 @@
 from megatron.core.transformer.moe.moe_layer import MoELayer
 from megatron.core.transformer.spec_utils import build_module
 from megatron.core.utils import make_viewless_tensor, nvtx_range_pop, nvtx_range_push
-from swift.utils import get_logger
 from torch import Tensor, nn
 from transformers import AutoModel, PretrainedConfig
 from transformers.utils.versions import require_version
 from typing import Optional, Tuple
 
 from mcore_bridge.bridge import MultimodalGPTBridge
 from mcore_bridge.config import ModelConfig
+from mcore_bridge.utils import get_logger
 
 from ..constant import ModelType
 from ..gpt_model import GPTModel

src/mcore_bridge/utils/dequantizer.py

@@ -5,8 +5,10 @@
 
 class Fp8Dequantizer:
 
-    def __init__(self, block_size: Tuple[int, int] = (None, None)):
+    def __init__(self, block_size: Tuple[int, int] = (128, 128)):
         # Set to None to enable automatic selection.
+        if block_size in {None, 'auto'}:
+            block_size = (None, None)
         self.block_size = block_size
 
     def convert(