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Arm backend: fix meandim when dim = None #14895

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Merged
merged 1 commit into from
Oct 8, 2025
+8 −2
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Arm backend: fix meandim when dim = None #14895

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2 changes: 2 additions & 0 deletions backends/arm/_passes/decompose_meandim_pass.py
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Original file line number Diff line number Diff line change
Expand Up @@ -83,6 +83,8 @@ def call_operator(self, op, args, kwargs, meta):
input_shape = list(x.data.shape)
output_shape = list(meta["val"].shape)
dims_to_reduce = get_node_arg(args, 1)
if dims_to_reduce is None:
dims_to_reduce = range(len(input_shape))
dims_to_reduce = [dim % len(input_shape) for dim in dims_to_reduce]
dims_to_reduce = [dim for dim in dims_to_reduce if input_shape[dim] != 1]

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8 changes: 6 additions & 2 deletions backends/arm/test/ops/test_mean_dim.py
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Expand Up @@ -115,7 +115,7 @@ class MeanDim(torch.nn.Module):
test_data_suite: dict[str, tuple] = {
"rank_1_keepdim": lambda: (
torch.rand(7),
(0),
0,
True,
),
"rank_2_keepdim": lambda: (
Expand Down Expand Up @@ -168,6 +168,11 @@ class MeanDim(torch.nn.Module):
(0, 1, 2, 3),
True,
),
"rand_none_keepdim": lambda: (
torch.rand(1, 5, 7, 3),
None,
True,
),
"rank_1": lambda: (
torch.rand(7),
(-1),
Expand Down Expand Up @@ -280,7 +285,6 @@ def test_mean_dim_tosa_INT(test_data):
(test_data,),
[], # Might be sum, avgpool, or both
symmetric_io_quantization=True,
custom_path="MEANDIM",
)
pipeline.run()

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