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Arm backend: Expand list of ops without quant kernel #24430

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Merged
Erik-Lundell merged 1 commit into from
Nov 2, 2026
Merged

Arm backend: Expand list of ops without quant kernel #24430

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14 changes: 14 additions & 0 deletions backends/arm/_passes/arm_pass.py
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Original file line number Diff line number Diff line change
Expand Up @@ -87,9 +87,23 @@ def get_name(pass_) -> str:

def call_operator(self, op, args, kwargs, meta, updated: Optional[bool] = False):
ops_without_quantized_fake_kernel = {
exir_ops.edge.aten.atan.default,
exir_ops.edge.aten.bmm.default,
exir_ops.edge.aten.cos.default,
exir_ops.edge.aten.erf.default,
exir_ops.edge.aten.exp.default,
exir_ops.edge.aten.leaky_relu.default,
exir_ops.edge.aten.log.default,
exir_ops.edge.aten.log1p.default,
exir_ops.edge.aten.pow.Tensor_Scalar,
exir_ops.edge.aten.reciprocal.default,
exir_ops.edge.aten.remainder.Scalar,
exir_ops.edge.aten.rsqrt.default,
exir_ops.edge.aten.sigmoid.default,
exir_ops.edge.aten.sin.default,
exir_ops.edge.aten.sinh.default,
exir_ops.edge.aten.softplus.default,
exir_ops.edge.aten.tanh.default,
}
if (
op in ops_without_quantized_fake_kernel
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22 changes: 10 additions & 12 deletions backends/arm/_passes/replace_scalar_with_tensor_pass.py
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Original file line number Diff line number Diff line change
Expand Up @@ -123,18 +123,16 @@ def call_operator(self, op, args, kwargs, meta):
if included_ops == {}:
raise ValueError("Profile must support at least INT or FP")

if op in TableOps.included_ops():
# Do not handle quantized table ops; forward unchanged.
input_qparams = meta.data.get("input_qparams", {})
output_qparams = meta.data.get("output_qparams", {})
if len(input_qparams) > 0 and len(output_qparams) > 0:
return self._call_quantized_op_without_fake_kernel(
op, args, kwargs, meta
)
# Skip quantized table ops - they will be turned to tables regardless.
if op in TableOps.included_ops() and self._is_quantized_meta(meta):
return ArmPass.call_operator(self, op, args, kwargs, meta)

# Apply ReplaceScalarWithTensorArgPass to included ops.
if op in included_ops:
# Include this op based on the current profile.
return super().call_operator(op, args, kwargs, meta)
else:
# Do not handle; forward unchanged.
return ArmPass.call_operator(self, op, args, kwargs, meta)
# Due to MRO, we need to call ExportPass's call_operator to not end up in ReplaceScalarWithTensorArgPass
if op in _all_ops:
return ExportPass.call_operator(self, op, args, kwargs, meta)

# Otherwise, we can call the normal ArmPass call_operator
return ArmPass.call_operator(self, op, args, kwargs, meta)
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