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Diffstat (limited to 'tests/validation/CL/GEMMLowp.cpp')
| -rw-r--r-- | tests/validation/CL/GEMMLowp.cpp | 63 |
1 files changed, 63 insertions, 0 deletions
diff --git a/tests/validation/CL/GEMMLowp.cpp b/tests/validation/CL/GEMMLowp.cpp index efefbd645b..b8dfc030a2 100644 --- a/tests/validation/CL/GEMMLowp.cpp +++ b/tests/validation/CL/GEMMLowp.cpp @@ -295,7 +295,70 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedP } TEST_SUITE_END() // BoundedReLu TEST_SUITE_END() // QuantizeDownInt32ToUint8ScaleByFixedPoint +TEST_SUITE(QuantizeDownInt32ToInt16ScaleByFixedPoint) +const auto quantize_down_int32_to_int16_scale_by_fixedpoint_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1, + 2) + * framework::dataset::make("min", 0) * framework::dataset::make("max", 0) * framework::dataset::make("addBias", { false, true }); + +const auto quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1, + 2) + * framework::dataset::make("min", -2, 0) * framework::dataset::make("max", 1, 3) * framework::dataset::make("addBias", { false, true }); + +using CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture = + GEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointValidationFixture<CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint>; + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( + framework::dataset::make("InputAInfo", { TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), + TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), // Invalid min and max + TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), // Wrong output data type + }), + framework::dataset::make("InputBInfo",{ TensorInfo(TensorShape(21U), 1, DataType::S32), + TensorInfo(TensorShape(21U), 1, DataType::S32), + TensorInfo(TensorShape(21U), 1, DataType::S32), + })), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(21U, 13U), 1, DataType::QSYMM16), + TensorInfo(TensorShape(21U, 13U), 1, DataType::QSYMM16), + TensorInfo(TensorShape(20U, 13U), 1, DataType::S32), + })), + framework::dataset::make("Min",{ -205, + -60000, + -180, + })), + framework::dataset::make("Max",{ 205, + 60000, + 180, + })), + framework::dataset::make("Expected", { true, false, false })), + a_info, b_info, output_info, min, max, expected) +{ + // Lock tensors + Status status = CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint::validate(&a_info.clone()->set_is_resizable(true), + &b_info.clone()->set_is_resizable(true), + &output_info.clone()->set_is_resizable(true), + min, + max); + ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* +FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), + quantize_down_int32_to_int16_scale_by_fixedpoint_cases)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE(BoundedReLu) +FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), + quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases)) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() // BoundedReLu +TEST_SUITE_END() // QuantizeDownInt32ToInt16ScaleByFixedPoint TEST_SUITE_END() // OutputStage TEST_SUITE_END() // GEMMLowp TEST_SUITE_END() // CL |