diff options
Diffstat (limited to 'tests/validation/NEON/GEMMLowp.cpp')
| -rw-r--r-- | tests/validation/NEON/GEMMLowp.cpp | 114 |
1 files changed, 114 insertions, 0 deletions
diff --git a/tests/validation/NEON/GEMMLowp.cpp b/tests/validation/NEON/GEMMLowp.cpp index f0460b4a23..2f604c95ea 100644 --- a/tests/validation/NEON/GEMMLowp.cpp +++ b/tests/validation/NEON/GEMMLowp.cpp @@ -294,6 +294,9 @@ const auto quantize_down_int32_to_uint8_scale_by_fixedpoint_relu_cases = framewo using NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture = GEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointValidationFixture<Tensor, Accessor, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint>; +using NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture = + GEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointValidationFixture<Tensor, Accessor, NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint>; + // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( @@ -404,6 +407,117 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedP 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 NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture = + GEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointValidationFixture<Tensor, Accessor, NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint>; + +// *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), // Input not a multiple of 16 + TensorInfo(TensorShape(21U, 13U), 1, DataType::S32), // Invalid min and max + TensorInfo(TensorShape(20U, 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(20U), 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 = NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint::validate(&a_info.clone()->set_is_resizable(false), + &b_info.clone()->set_is_resizable(false), + &output_info.clone()->set_is_resizable(false), + min, + max); + ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), + quantize_down_int32_to_int16_scale_by_fixedpoint_cases), + shape, result_fixedpoint_multiplier, result_shift, min, max, add_bias) +{ + TensorShape shape_bias(shape[0]); + + // Create tensors + Tensor in = create_tensor<Tensor>(shape, DataType::S32); + Tensor bias = create_tensor<Tensor>(shape_bias, DataType::S32); + Tensor out = create_tensor<Tensor>(shape, DataType::QSYMM16); + + ARM_COMPUTE_EXPECT(in.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(out.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint output_stage; + output_stage.configure(&in, add_bias ? &bias : nullptr, &out, result_fixedpoint_multiplier, result_shift, min, max); + + // Validate valid region input and output + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(in.info()->valid_region(), valid_region); + validate(out.info()->valid_region(), valid_region); + + // Validate valid region bias + if(add_bias) + { + const ValidRegion valid_region_bias = shape_to_valid_region(shape_bias); + validate(bias.info()->valid_region(), valid_region_bias); + } + + // Validate padding + const PaddingSize padding(0); + validate(in.info()->padding(), padding); + validate(out.info()->padding(), padding); + + if(add_bias) + { + validate(bias.info()->padding(), padding); + } +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), + quantize_down_int32_to_int16_scale_by_fixedpoint_cases)) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +TEST_SUITE(BoundedReLu) +FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), + quantize_down_int32_to_int16_scale_by_fixedpoint_relu_cases)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // BoundedReLu + +TEST_SUITE_END() // QuantizeDownInt32ToInt16ScaleByFixedPoint + TEST_SUITE_END() // OutputStage TEST_SUITE_END() // GEMMLowp |