diff options
| -rw-r--r-- | tests/validation/NEON/GEMMLowp.cpp | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/tests/validation/NEON/GEMMLowp.cpp b/tests/validation/NEON/GEMMLowp.cpp index 579499dd4e..ca7d50fd40 100644 --- a/tests/validation/NEON/GEMMLowp.cpp +++ b/tests/validation/NEON/GEMMLowp.cpp @@ -217,6 +217,29 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( // clang-format on // *INDENT-ON* +TEST_CASE(NoPaddingAdded, framework::DatasetMode::PRECOMMIT) +{ + Tensor input1 = create_tensor<Tensor>(TensorShape(21U, 13U), DataType::S32); + Tensor input2 = create_tensor<Tensor>(TensorShape(21U, 1U), DataType::S32); + Tensor output = create_tensor<Tensor>(TensorShape(21U, 13U), DataType::QASYMM8); + + GEMMLowpOutputStageInfo output_stage = GEMMLowpOutputStageInfo(); + output_stage.type = GEMMLowpOutputStageType::QUANTIZE_DOWN; + output_stage.gemmlowp_min_bound = 0; + output_stage.gemmlowp_max_bound = 205; + output_stage.output_data_type = DataType::QASYMM8; + + + NEGEMMLowpOutputStage f; + f.configure(&input1, &input2, &output, output_stage); + + // Validate padding is zero + validate(input1.info()->padding(), PaddingSize()); + validate(input2.info()->padding(), PaddingSize()); + validate(output.info()->padding(), PaddingSize()); +} + + FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases)) { // Validate output |