chore: linter fixes

Signed-off-by: Dheeraj Peri <[email protected]>

Author: peri044

py/torch_tensorrt/ptq.py

@@ -55,12 +55,14 @@ def write_calibration_cache(self, cache):
     else:
         return b""
 
+
 # deepcopy (which involves pickling) is performed on the compile_spec internally during compilation.
 # We register this __reduce__ function for pickler to identity the calibrator object returned by DataLoaderCalibrator during deepcopy.
 # This should be the object's local name relative to the module https://docs.python.org/3/library/pickle.html#object.__reduce__
 def __reduce__(self):
     return self.__class__.__name__
 
+
 class DataLoaderCalibrator(object):
     """
     Constructs a calibrator class in TensorRT and uses pytorch dataloader to load/preproces
@@ -119,7 +121,7 @@ def __new__(cls, *args, **kwargs):
             "get_batch": get_cache_mode_batch if use_cache else get_batch,
             "read_calibration_cache": read_calibration_cache,
             "write_calibration_cache": write_calibration_cache,
-            "__reduce__": __reduce__ # used when you deepcopy the DataLoaderCalibrator object
+            "__reduce__": __reduce__,  # used when you deepcopy the DataLoaderCalibrator object
         }
 
         # Using type metaclass to construct calibrator class based on algorithm type
@@ -129,7 +131,9 @@ def __new__(cls, *args, **kwargs):
             )()
         elif algo_type == CalibrationAlgo.ENTROPY_CALIBRATION_2:
             return type(
-                "Int8EntropyCalibrator2", (_C.IInt8EntropyCalibrator2,), attribute_mapping
+                "Int8EntropyCalibrator2",
+                (_C.IInt8EntropyCalibrator2,),
+                attribute_mapping,
             )()
         elif algo_type == CalibrationAlgo.LEGACY_CALIBRATION:
             return type(