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[ET-VK][ez] Restrict batch norm operator to 4D input tensors only #16420

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[ET-VK][ez] Restrict batch norm operator to 4D input tensors only #16420

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[ET-VK][ez] Restrict batch norm operator to 4D input tensors only
Dec 30, 2025
c82b24b
Update on "[ET-VK][ez] Restrict batch norm operator to 4D input tenso…
Dec 30, 2025
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27 changes: 20 additions & 7 deletions backends/vulkan/op_registry.py
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Original file line number Diff line number Diff line change
Expand Up @@ -793,17 +793,30 @@ def register_ported_op_all_packed_dims():


# Ported ops that support their own prepacking.
@update_features(
[
exir_ops.edge.aten.embedding.default,
exir_ops.edge.aten._native_batch_norm_legit_no_training.default,
]
)
def register_ported_ops_with_prepacking():
@update_features(exir_ops.edge.aten.embedding.default)
def register_embedding_op():
return OpFeatures(
inputs_storage=utils.CHANNELS_PACKED_TEXTURE,
supports_prepacking=True,
supports_resize=True,
)


@update_features(exir_ops.edge.aten._native_batch_norm_legit_no_training.default)
def register_batch_norm_op():
def check_batch_norm_node(node: torch.fx.Node) -> bool:
x = node.args[0]
if not isinstance(x, torch.fx.Node):
return False
x_shape = x.meta["val"].size()
# Only support 4-D input tensors
return len(x_shape) == 4

return OpFeatures(
inputs_storage=utils.CHANNELS_PACKED_TEXTURE,
supports_prepacking=True,
supports_resize=True,
are_node_inputs_supported_fn=check_batch_norm_node,
)


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