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Cadence ops: Get rid of linalg vector norm #15140

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Merged
merged 1 commit into from
Oct 17, 2025
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Cadence ops: Get rid of linalg vector norm #15140

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12 changes: 0 additions & 12 deletions backends/cadence/aot/ops_registrations.py
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Original file line number Diff line number Diff line change
Expand Up @@ -65,7 +65,6 @@ def _validate_ref_impl_exists() -> None:
"cadence::dequantize_per_tensor_asym8u",
"cadence::dequantize_per_tensor_asym32s",
"cadence::dequantize_per_tensor_asym16u",
"cadence::linalg_vector_norm",
"cadence::quantized_conv2d_nchw", # We should only support per_tensor variant, should remove
"cadence::quantize_per_tensor_asym32s",
"cadence::quantized_relu", # We should only support per_tensor variant, should remove
Expand Down Expand Up @@ -447,7 +446,6 @@ def register_fake(
"im2row.per_tensor(Tensor input, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, "
"int in_zero_point, bool channel_last=False) -> (Tensor out)"
)
lib.define("linalg_vector_norm(Tensor X) -> (Tensor Y)")
lib.define(
"linalg_svd(Tensor A, bool full_matrices=False, bool compute_uv=True, str? driver=None) -> (Tensor U, Tensor S, Tensor Vh)"
)
Expand Down Expand Up @@ -603,7 +601,6 @@ def register_fake(
lib.define(
"fully_connected.out(Tensor input, Tensor weight, Tensor? bias=None, *, Tensor(a!) out) -> Tensor(a!)"
)
lib.define("linalg_vector_norm.out(Tensor X, *, Tensor(a!) out) -> Tensor(a!)")
lib.define(
"quantized_fully_connected.out(Tensor src, Tensor weight, Tensor bias, int src_zero_point, "
"Tensor weight_zero_point, Tensor out_multiplier, Tensor out_shift, int out_zero_point, Tensor? offset, *, Tensor(a!) out) -> Tensor(a!)"
Expand Down Expand Up @@ -2007,15 +2004,6 @@ def im2row_per_tensor_meta(
return input.new_empty(output_size, dtype=input.dtype)


# Define the abstract implementations of the operators as required
@register_fake("cadence::linalg_vector_norm")
def linalg_vector_norm_meta(
X: torch.Tensor,
) -> torch.Tensor:
# Output of norm is a scalar, so we return a [] tensor
return X.new_empty([], dtype=X.dtype)


@register_fake("cadence::linalg_svd")
def linalg_svd_meta(
A: torch.Tensor,
Expand Down
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