fix linear bias decomposition invokation

Author: manuelcandales

examples/models/parakeet/export_parakeet_tdt.py

@@ -513,9 +513,9 @@ def _create_metal_partitioners(programs):
         # print(f"Running decompositions for {key}")
         # print(ep.graph_module)
         if key != "preprocessor":
-            updated_programs[key] = ep.run_decompositions(
-                {torch.ops.aten.linear.default: _linear_bias_decomposition}
-            )
+            decomp_table = torch.export.default_decompositions()
+            decomp_table[torch.ops.aten.linear.default] = _linear_bias_decomposition
+            updated_programs[key] = ep.run_decompositions(decomp_table)
         else:
             updated_programs[key] = ep
 

examples/models/voxtral_realtime/export_voxtral_rt.py

@@ -395,9 +395,9 @@ def lower_to_executorch(programs, metadata, backend="xnnpack"):
         # Run decompositions for Metal backend
         updated_programs = {}
         for key, ep in programs.items():
-            updated_programs[key] = ep.run_decompositions(
-                {torch.ops.aten.linear.default: _linear_bias_decomposition}
-            )
+            decomp_table = torch.export.default_decompositions()
+            decomp_table[torch.ops.aten.linear.default] = _linear_bias_decomposition
+            updated_programs[key] = ep.run_decompositions(decomp_table)
         programs = updated_programs
 
         partitioner = {}