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Revert 16A8W ops test update for slice #15088

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Merged
merged 1 commit into from
Oct 14, 2025
Merged

Revert 16A8W ops test update for slice #15088

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11 changes: 10 additions & 1 deletion backends/arm/test/ops/test_slice.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@

from typing import Tuple

import pytest
import torch
from executorch.backends.arm.quantizer.arm_quantizer import (
get_symmetric_a16w8_quantization_config,
Expand Down Expand Up @@ -43,7 +44,6 @@


class Slice(torch.nn.Module):

def forward(self, x: torch.Tensor, s: list[tuple[int, int]]):
slices = [slice(*i) for i in s]
return x[slices]
Expand Down Expand Up @@ -153,6 +153,9 @@ def get_symmetric_a16w8_slice_quantizer(per_channel_quantization=False):


@common.parametrize("test_data", test_data_suite)
@pytest.mark.xfail(
reason="missing int16 slice ops support; fails at TOSA reference model with Unsupported operation type or rank. See: https://github.com/pytorch/executorch/issues/13976"
)
def test_slice_tensor_16a8w_tosa_INT(test_data: torch.Tensor):
"""Test slice operation with 16A8W quantization (16-bit activations, 8-bit weights)"""
per_channel_quantization = False
Expand All @@ -178,6 +181,9 @@ def test_slice_tensor_16a8w_tosa_INT(test_data: torch.Tensor):

@common.parametrize("test_data", test_data_suite)
@common.XfailIfNoCorstone300
@pytest.mark.xfail(
reason="Vela compilation fails with 'Invalid arguments' for int16 slice operations"
)
def test_slice_tensor_16a8w_u55_INT16(test_data: torch.Tensor):
"""Test slice operation with 16A8W quantization on U55 (16-bit activations, 8-bit weights)"""
per_channel_quantization = False
Expand All @@ -202,6 +208,9 @@ def test_slice_tensor_16a8w_u55_INT16(test_data: torch.Tensor):

@common.parametrize("test_data", test_data_suite)
@common.XfailIfNoCorstone320
@pytest.mark.xfail(
reason="Vela compilation fails with 'Invalid arguments' for int16 slice operations"
)
def test_slice_tensor_16a8w_u85_INT16(test_data: torch.Tensor):
"""Test slice operation with 16A8W quantization on U85 (16-bit activations, 8-bit weights)"""
per_channel_quantization = False
Expand Down
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