pyre-fix (pytorch#14241)

Summary:

Forward fix for pyre errors in D82242003

Differential Revision: D82265586

Author: metascroy

backends/xnnpack/test/ops/test_linear.py

@@ -395,7 +395,7 @@ def _test_groupwise_dq_linear(
         quantize_(
             mod,
             Int8DynamicActivationIntxWeightConfig(
-                weight_dtype=torch.int4, weight_granularity=PerGroup(group_size)
+                weight_dtype=torch.int4, weight_granularity=PerGroup(group_size) # pyre-ignore[16]
             ),
         )
         unwrap_tensor_subclass(mod)

examples/models/llama/source_transformation/quantize.py

@@ -135,7 +135,7 @@ def quantize(  # noqa C901
                         PerAxis(0) if group_size == 0 else PerGroup(group_size)
                     ),
                     weight_mapping_type=MappingType.SYMMETRIC,
-                    intx_packing_format="opaque_torchao_auto",
+                    intx_packing_format="opaque_torchao_auto", # pyre-ignore[6]
                 ),
             )
             model = unwrap_tensor_subclass(model)
@@ -157,7 +157,7 @@ def quantize(  # noqa C901
         quantize_(
             model,
             Int8DynamicActivationIntxWeightConfig(
-                weight_dtype=torch.int4,
+                weight_dtype=torch.int4, # pyre-ignore[16]
                 weight_granularity=PerGroup(group_size),
             ),
         )