Reapply pyre-ignores after lintrunner moves

lintrunner moved the pyre-ignores to the wrong line, re-apply to the right line again. Signed-off-by: Per Åstrand <[email protected]> Change-Id: Icbb6cf6f2d65d6fe1c00e7c4a738691ffeb7acb2
pytorch · Dec 19, 2024 · a8380d3 · a8380d3
1 parent 0e8162c
commit a8380d3
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Showing 4 changed files with 8 additions and 6 deletions.
diff --git a/backends/arm/operators/op_conv2d.py b/backends/arm/operators/op_conv2d.py
@@ -8,6 +8,8 @@
 
 import serializer.tosa_serializer as ts
 import torch
+
+# pyre-fixme[21]: 'Could not find a module corresponding to import `executorch.backends.arm._passes.fold_qdq_with_annotated_qparams_pass`.'
 from executorch.backends.arm._passes.fold_qdq_with_annotated_qparams_pass import (
     get_input_qparams,
     get_output_qparams,

diff --git a/backends/arm/operators/op_max.py b/backends/arm/operators/op_max.py
@@ -45,9 +45,9 @@ def define_node(
         scale_back = 1.0
         max_output = output
         if inputs[0].dtype == ts.DType.INT8:
-            input_qparams = get_input_qparams(
+            input_qparams = get_input_qparams(  # pyre-ignore[16]: 'Module `executorch.backends.arm` has no attribute `_passes`.'
                 node
-            )  # pyre-ignore[16]: 'Module `executorch.backends.arm` has no attribute `_passes`.'
+            )
             assert (
                 len(input_qparams) == 2
             ), f"Both inputs needs to have quantization information for {node}"

diff --git a/backends/arm/operators/op_min.py b/backends/arm/operators/op_min.py
@@ -46,9 +46,9 @@ def define_node(
         scale_back = 1.0
         min_output = output
         if inputs[0].dtype == ts.DType.INT8:
-            input_qparams = get_input_qparams(
+            input_qparams = get_input_qparams(  # pyre-ignore[16]: 'Module `executorch.backends.arm` has no attribute `_passes`.'
                 node
-            )  # pyre-ignore[16]: 'Module `executorch.backends.arm` has no attribute `_passes`.'
+            )
             assert (
                 len(input_qparams) == 2
             ), f"Both inputs needs to have quantization information for {node}"

diff --git a/backends/arm/process_node.py b/backends/arm/process_node.py
@@ -114,9 +114,9 @@ def process_quantized_bias(
         _,
     ) = consumer_node.all_input_nodes
 
-    input_qargs = get_input_qparams(
+    input_qargs = get_input_qparams(  # pyre-ignore[16]: Module `executorch.backends.arm` has no attribute `_passes`.
         consumer_node
-    )  # pyre-ignore[16]: Module `executorch.backends.arm` has no attribute `_passes`.
+    )
 
     input_node_scale = input_qargs[0].scale
     weight_node_scale = input_qargs[1].scale