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Update mul int16 test #14646

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Merged
merged 1 commit into from
Oct 2, 2025
Merged

Update mul int16 test #14646

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2 changes: 1 addition & 1 deletion backends/arm/operators/op_repeat.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@ def define_node(
validate_valid_dtype(
self.target,
[inputs[0], output],
[ts.DType.INT8, ts.DType.INT32, ts.DType.FP32],
[ts.DType.INT8, ts.DType.INT32, ts.DType.INT16, ts.DType.FP32],
output.tosa_spec,
)

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6 changes: 0 additions & 6 deletions backends/arm/test/ops/test_mul.py
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Expand Up @@ -338,9 +338,6 @@ def test_mul_tensor_16a8w_tosa_INT(test_data: input_t1):

@common.parametrize("test_data", test_data_suite)
@common.XfailIfNoCorstone300
@pytest.mark.xfail(
reason="Vela compilation fails with 'Invalid arguments' for int16 mul operations. See: https://github.com/pytorch/executorch/issues/13947"
)
def test_mul_tensor_16a8w_u55_INT16(test_data: input_t1):
"""Test mul operation with 16A8W quantization on U55 (16-bit activations, 8-bit weights)"""
per_channel_quantization = False
Expand All @@ -365,9 +362,6 @@ def test_mul_tensor_16a8w_u55_INT16(test_data: input_t1):

@common.parametrize("test_data", test_data_suite)
@common.XfailIfNoCorstone320
@pytest.mark.xfail(
reason="Vela compilation fails with 'Invalid arguments' for int16 mul operations. See: https://github.com/pytorch/executorch/issues/13947"
)
def test_mul_tensor_16a8w_u85_INT16(test_data: input_t1):
"""Test mul operation with 16A8W quantization on U85 (16-bit activations, 8-bit weights)"""
per_channel_quantization = False
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