#include "arm_compute/core/NEON/kernels/NEElementwiseOperationKernel.h"
#include "arm_compute/core/CPP/Validate.h"
-#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/IAccessWindow.h"
-#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/NEON/NEAsymm.h"
#include "arm_compute/core/NEON/NEFixedPoint.h"
#include "arm_compute/core/NEON/wrapper/wrapper.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Validate.h"
-#include <algorithm>
#include <arm_neon.h>
-#include <cstdint>
#include <map>
-#include <string>
namespace arm_compute
{
-class Coordinates;
-
namespace
{
float32x4x4_t load_quantized(const uint8_t *input1_ptr, const int32x4_t &offset, const float32x4_t &scale)
Status NEElementwiseMax::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
- if(input1->data_type() == DataType::QASYMM8_SIGNED)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, output);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input1, input2, output);
- }
return NEArithmeticOperationKernel::validate(ArithmeticOperation::MAX, input1, input2, output);
}
Status NEElementwiseMin::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled());
- if(input1->data_type() == DataType::QASYMM8_SIGNED)
- {
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, output);
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input1, input2, output);
- }
return NEArithmeticOperationKernel::validate(ArithmeticOperation::MIN, input1, input2, output);
}
{
namespace
{
-RelativeTolerance<float> tolerance_fp32(0.000001f);
+constexpr RelativeTolerance<float> tolerance_fp32(0.000001f);
+constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1);
/** Input data sets **/
const auto ElementwiseMaxQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("DataType",
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED), // OK
TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED), // Mismatching data types
- TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED,QuantizationInfo(0.1f, 2) ), // Mismatching qinfo
-
}),
framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED),
TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8),
- TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED,QuantizationInfo(0.4f, 5) ), // Mismatching qinfo
-
})),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED),
TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED),
- TensorInfo(TensorShape(8U, 8U, 3U), 1, DataType::QASYMM8_SIGNED,QuantizationInfo(0.3f,4 ) ), // Mismatching qinfo
})),
- framework::dataset::make("Expected", { true, true, true, false, false, true, false, false,false})),
+ framework::dataset::make("Expected", { true, true, true, false, false, true, false, false })),
input1_info, input2_info, output_info, expected)
{
ARM_COMPUTE_EXPECT(bool(NEElementwiseMax::validate(
TEST_SUITE(QASYMM8_SIGNED)
FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMaxQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
ElementwiseMaxQASYMM8SignedDataset),
- framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 2) })),
- framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 2) })),
- framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 2) })))
+ framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 20) })),
+ framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f, 0) })),
+ framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f, -27) })))
{
// Validate output
- validate(Accessor(_target), _reference);
+ validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
TEST_SUITE_END()
{
namespace
{
-RelativeTolerance<float> tolerance_fp32(0.000001f);
+constexpr RelativeTolerance<float> tolerance_fp32(0.000001f);
+constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1);
/** Input data sets **/
const auto ElementwiseMinQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
framework::dataset::make("DataType",
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED), // Ok
TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED), // Mismatching types, cannot mix QASYMM8_SIGNED with QASYMM8
- TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::QASYMM8_SIGNED,QuantizationInfo(0.1f, 2) ), // Mismatching qinfo
}),
framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED),
TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8),
- TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::QASYMM8_SIGNED,QuantizationInfo(0.5f, 1) ),
})),
framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED),
TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED),
- TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::QASYMM8_SIGNED,QuantizationInfo(0.5f, 1) ),
})),
framework::dataset::make("Expected", { true, true, true, false,
- false,true,false,false})),
+ false,true,false})),
input1_info, input2_info, output_info, expected)
{
ARM_COMPUTE_EXPECT(bool(NEElementwiseMin::validate(
TEST_SUITE(QASYMM8_SIGNED)
FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
ElementwiseMaxQASYMM8SignedDataset),
- framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 2) })),
- framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 2) })),
- framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 2) })))
+ framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 20) })),
+ framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f, 0) })),
+ framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f, -27) })))
{
// Validate output
- validate(Accessor(_target), _reference);
+ validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
TEST_SUITE_END()