Merge branch 'develop_v2.4'

transformer_engine/__init__.py

@@ -13,10 +13,7 @@ import transformer_engine.common
 try:
     from . import pytorch
 except ImportError:
-    try:
-        from . import pytorch
-    except ImportError:
-        pass
+    pass
 except FileNotFoundError as e:
     if "Could not find shared object file" not in str(e):
         raise e  # Unexpected error

transformer_engine/pytorch/utils.py

@@ -13,7 +13,6 @@ import torch
 
 import transformer_engine.pytorch.cpp_extensions as ext
 from . import torch_version
-from ..debug.pytorch.debug_quantization import DebugQuantizedTensor
 from torch.utils.cpp_extension import IS_HIP_EXTENSION
 
 def requires_grad(*tensors: Tuple[Optional[torch.Tensor], ...]) -> None:
@@ -558,6 +557,7 @@ def round_up_to_nearest_multiple(value, multiple):
 
 def needs_quantized_gemm(obj, rowwise=True):
     """Used to check if obj will need quantized gemm or normal gemm."""
+    from ..debug.pytorch.debug_quantization import DebugQuantizedTensor
     if isinstance(obj, DebugQuantizedTensor):
         return type(obj.get_tensor(not rowwise)) not in [  # pylint: disable=unidiomatic-typecheck
             torch.Tensor,
@@ -652,3 +652,5 @@ if torch_version() >= (2, 4, 0):
     gpu_autocast_ctx = functools.partial(torch.amp.autocast, device_type="cuda")
 else:
     gpu_autocast_ctx = torch.cuda.amp.autocast
+
+from ..debug.pytorch.debug_quantization import DebugQuantizedTensor