Fix OSS import for ref_implementations

Summary: Was using buck-based loading of quantized decomposed in ref_implementations which isn't CMake-compatible. This fixes that approach.

Differential Revision: D88303133

Author: Andrew Grebenisan

backends/cadence/aot/TARGETS

@@ -131,7 +131,7 @@ runtime.python_library(
     deps = [
         "fbcode//caffe2:torch",
         "fbcode//executorch/exir:scalar_type",
-        "fbcode//executorch/kernels/quantized:custom_ops_generated_lib",
+        "fbcode//executorch/kernels/quantized:quantized_ops_lib",
     ],
 )
 

backends/cadence/aot/ref_implementations.py

@@ -8,15 +8,15 @@
 
 from typing import Callable, Protocol, TypeVar
 
+import executorch.kernels.quantized  # noqa: F401  # Loads quantized ops library
+
 import torch
 import torch.nn as nn
 import torch.nn.functional as F
-
 from executorch.exir.scalar_type import ScalarType
 from torch.library import impl, Library
 
 m = Library("cadence", "IMPL", "CompositeExplicitAutograd")
-torch.ops.load_library("//executorch/kernels/quantized:custom_ops_generated_lib")
 
 # Registry to track all ops with reference implementations
 _REGISTERED_REF_IMPLEMENTATIONS: set[str] = set()