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-rw-r--r--tests/validation/NEON/GEMMLowp.cpp125
1 files changed, 77 insertions, 48 deletions
diff --git a/tests/validation/NEON/GEMMLowp.cpp b/tests/validation/NEON/GEMMLowp.cpp
index de30bd5451..c3747ddd24 100644
--- a/tests/validation/NEON/GEMMLowp.cpp
+++ b/tests/validation/NEON/GEMMLowp.cpp
@@ -165,7 +165,9 @@ TEST_SUITE_END() // MatrixMultiplyCore
TEST_SUITE(OutputStage)
-TEST_SUITE(QuantizeDownInt32ToUint8Scale)
+TEST_SUITE(QuantizeDownInt32Scale)
+
+TEST_SUITE(QASYMM8)
const auto quantize_down_int32_to_uint8_scale_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1, 2) * framework::dataset::make("result_shift", 2,
3)
@@ -175,7 +177,7 @@ const auto quantize_down_int32_to_uint8_scale_relu_cases = framework::dataset::m
2)
* framework::dataset::make("result_shift", 2, 3) * framework::dataset::make("min", 0, 2) * framework::dataset::make("max", 171, 174) * framework::dataset::make("addBias", { false, true });
-using NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture = GEMMLowpQuantizeDownInt32ToUint8ScaleValidationFixture<Tensor, Accessor, NEGEMMLowpQuantizeDownInt32ToUint8Scale>;
+using NEGEMMLowpQuantizeDownInt32ScaleFixture = GEMMLowpQuantizeDownInt32ToUint8ScaleValidationFixture<Tensor, Accessor, NEGEMMLowpOutputStage>;
// *INDENT-OFF*
// clang-format off
@@ -198,85 +200,112 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
framework::dataset::make("Expected", { true, false })),
a_info, b_info, output_info, min, max, expected)
{
+
+ GEMMLowpOutputStageInfo output_stage = GEMMLowpOutputStageInfo();
+ output_stage.type = GEMMLowpOutputStageType::QUANTIZE_DOWN;
+ output_stage.gemmlowp_min_bound = min;
+ output_stage.gemmlowp_max_bound = max;
+ output_stage.output_data_type = DataType::QASYMM8;
+
// Lock tensors
- Status status = NEGEMMLowpQuantizeDownInt32ToUint8Scale::validate(&a_info.clone()->set_is_resizable(false),
+ Status status = NEGEMMLowpOutputStage::validate(&a_info.clone()->set_is_resizable(false),
&b_info.clone()->set_is_resizable(false),
&output_info.clone()->set_is_resizable(false),
- min,
- max);
+ output_stage);
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_uint8_scale_cases),
- shape, result_offset, result_mult_int, result_shift, min, max, add_bias)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))
{
- TensorShape shape_bias(shape[0]);
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
- // 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::QASYMM8);
+TEST_SUITE(BoundedReLu)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))
+{
+ // Validate output
+ validate(Accessor(_target), _reference);
+}
- 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);
+TEST_SUITE_END() // BoundedReLu
- // Create and configure function
- NEGEMMLowpQuantizeDownInt32ToUint8Scale output_stage;
- output_stage.configure(&in, add_bias ? &bias : nullptr, &out, result_offset, result_mult_int, result_shift, min, max);
+TEST_SUITE_END() // QASYMM8
- // 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);
+TEST_SUITE(QASYMM8_SIGNED)
- // 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);
- }
+const auto quantize_down_int32_to_int8_scale_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1, 2) * framework::dataset::make("result_shift", 2,
+ 3)
+ * framework::dataset::make("min", 0) * framework::dataset::make("max", 0) * framework::dataset::make("addBias", { false, true });
- // Validate padding
- const PaddingSize padding(0);
- validate(in.info()->padding(), padding);
- validate(out.info()->padding(), padding);
+const auto quantize_down_int32_to_int8_scale_relu_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1,
+ 2)
+ * framework::dataset::make("result_shift", 2, 3) * framework::dataset::make("min", -100, -98) * framework::dataset::make("max", 71, 74) * framework::dataset::make("addBias", { false, true });
- if(add_bias)
- {
- validate(bias.info()->padding(), padding);
- }
-}
+using NEGEMMLowpQuantizeDownInt32ScaleFixture = GEMMLowpQuantizeDownInt32ToInt8ScaleValidationFixture<Tensor, Accessor, NEGEMMLowpOutputStage>;
-FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))
+// *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::QASYMM8_SIGNED),
+ TensorInfo(TensorShape(21U, 13U), 1, DataType::QASYMM8_SIGNED),
+ TensorInfo(TensorShape(20U, 13U), 1, DataType::S32),
+ })),
+ framework::dataset::make("Min",{ -10,
+ -200,
+ -113,
+ })),
+ framework::dataset::make("Max",{ 105,
+ 300,
+ -18,
+ })),
+ framework::dataset::make("Expected", { true, false, false })),
+ a_info, b_info, output_info, min, max, expected)
{
- // Validate output
- validate(Accessor(_target), _reference);
+ GEMMLowpOutputStageInfo output_stage = GEMMLowpOutputStageInfo();
+ output_stage.type = GEMMLowpOutputStageType::QUANTIZE_DOWN;
+ output_stage.gemmlowp_min_bound = min;
+ output_stage.gemmlowp_max_bound = max;
+ output_stage.output_data_type = DataType::QASYMM8_SIGNED;
+
+ // Lock tensors
+ Status status = NEGEMMLowpOutputStage::validate(&a_info.clone()->set_is_resizable(false),
+ &b_info.clone()->set_is_resizable(false),
+ &output_info.clone()->set_is_resizable(false),
+ output_stage);
+ ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
}
+// clang-format on
+// *INDENT-ON*
-FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))
+FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_int8_scale_cases))
{
// Validate output
validate(Accessor(_target), _reference);
}
TEST_SUITE(BoundedReLu)
-FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))
+FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_int8_scale_relu_cases))
{
// Validate output
validate(Accessor(_target), _reference);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_relu_cases))
-{
- // Validate output
- validate(Accessor(_target), _reference);
-}
TEST_SUITE_END() // BoundedReLu
-TEST_SUITE_END() // QuantizeDownInt32ToUint8Scale
+TEST_SUITE_END() // QASYMM8_SIGNED
+
+TEST_SUITE_END() // QuantizeDownInt32Scale
TEST_SUITE(QuantizeDownInt32ToUint8ScaleByFixedPoint)
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-26 11:16:59 +0000