Rename back to _debug_mode

Signed-off-by: ksztenderski <ksztenderski@nvidia.com>

dali/python/nvidia/dali/external_source.py

@@ -745,7 +745,7 @@ def external_source(source=None, num_outputs=None, *, cycle=None, name=None, dev
     which is more performant.
     """
 
-    from nvidia.dali.debug_mode import _PipelineDebug
+    from nvidia.dali._debug_mode import _PipelineDebug
 
     def _external_source(source=None, num_outputs=None, *, cycle=None, name=None, device="cpu", layout=None,
                          dtype=None, cuda_stream=None, use_copy_kernel=None, batch=True, **kwargs):

dali/python/nvidia/dali/fn.py

@@ -76,7 +76,7 @@ def op_wrapper(*inputs, **kwargs):
         return op_class(**init_args)(*inputs, **call_args)
 
     def fn_wrapper(*inputs, **kwargs):
-        from nvidia.dali.debug_mode import _PipelineDebug
+        from nvidia.dali._debug_mode import _PipelineDebug
         current_pipeline = _PipelineDebug.current()
         if getattr(current_pipeline, '_debug_on', False):
             return current_pipeline._wrap_op_call(op_class, *inputs, **kwargs)

dali/python/nvidia/dali/ops.py

@@ -714,7 +714,7 @@ def _build_input_sets(self, inputs):
 
 
 def _prep_input_sets(op, inputs):
-    from nvidia.dali.debug_mode import _transform_data_to_tensorlist
+    from nvidia.dali._debug_mode import _transform_data_to_tensorlist
     import nvidia.dali.tensors as tensors
 
     inputs = list(inputs)

dali/python/nvidia/dali/pipeline.py

@@ -1328,7 +1328,7 @@ def create_pipeline(*args, **kwargs):
 
 
 def _pipeline_def_experimental(fn=None, **pipeline_kwargs):
-    from nvidia.dali.debug_mode import _PipelineDebug
+    from nvidia.dali._debug_mode import _PipelineDebug
     pipeline_debug =  pipeline_kwargs.pop('debug', False)
     def actual_decorator(func):
         @functools.wraps(func)