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/*
* Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_TEST_ARITHMETIC_OPERATIONS_FIXTURE
#define ARM_COMPUTE_TEST_ARITHMETIC_OPERATIONS_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/reference/ActivationLayer.h"
#include "tests/validation/reference/ArithmeticOperations.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticOperationGenericFixture : public framework::Fixture
{
public:
template <typename...>
void setup(reference::ArithmeticOperation op, const TensorShape &shape0, const TensorShape &shape1,
DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy,
QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info, bool in_place)
{
_op = op;
_act_info = act_info;
_in_place = in_place;
_target = compute_target(shape0, shape1, data_type0, data_type1, output_data_type, convert_policy, qinfo0, qinfo1, qinfo_out);
_reference = compute_reference(shape0, shape1, data_type0, data_type1, output_data_type, convert_policy, qinfo0, qinfo1, qinfo_out);
}
protected:
template <typename U>
void fill(U &&tensor, int i)
{
library->fill_tensor_uniform(tensor, i);
}
TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy,
QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
{
// Create tensors
TensorType ref_src1 = create_tensor<TensorType>(shape0, data_type0, 1, qinfo0);
TensorType ref_src2 = create_tensor<TensorType>(shape1, data_type1, 1, qinfo1);
TensorType dst = create_tensor<TensorType>(TensorShape::broadcast_shape(shape0, shape1), output_data_type, 1, qinfo_out);
TensorType *dst_to_use = _in_place ? &ref_src1 : &dst;
// Create and configure function
FunctionType arith_op;
arith_op.configure(&ref_src1, &ref_src2, dst_to_use, convert_policy, _act_info);
ARM_COMPUTE_EXPECT(ref_src1.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(ref_src2.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst_to_use->info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
ref_src1.allocator()->allocate();
ref_src2.allocator()->allocate();
dst_to_use->allocator()->allocate();
ARM_COMPUTE_EXPECT(!ref_src1.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!ref_src2.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst_to_use->info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
fill(AccessorType(ref_src1), 0);
fill(AccessorType(ref_src2), 1);
// Compute function
arith_op.run();
if(_in_place)
{
return ref_src1;
}
return dst;
}
SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1,
DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy,
QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
{
// current in-place implementation only supports same metadata of input and output tensors.
// By ignoring output quantization information here, we can make test cases implementation much simpler.
QuantizationInfo output_qinfo = _in_place ? qinfo0 : qinfo_out;
// Create reference
SimpleTensor<T> ref_src1{ shape0, data_type0, 1, qinfo0 };
SimpleTensor<T> ref_src2{ shape1, data_type1, 1, qinfo1 };
SimpleTensor<T> ref_dst{ TensorShape::broadcast_shape(shape0, shape1), output_data_type, 1, output_qinfo };
// Fill reference
fill(ref_src1, 0);
fill(ref_src2, 1);
auto result = reference::arithmetic_operation<T>(_op, ref_src1, ref_src2, ref_dst, convert_policy);
return _act_info.enabled() ? reference::activation_layer(result, _act_info, output_qinfo) : result;
}
TensorType _target{};
SimpleTensor<T> _reference{};
reference::ArithmeticOperation _op{ reference::ArithmeticOperation::ADD };
ActivationLayerInfo _act_info{};
bool _in_place{};
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticAdditionBroadcastValidationFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::ADD, shape0, shape1, data_type0, data_type1,
output_data_type, convert_policy, QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), ActivationLayerInfo(), false);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticAdditionValidationFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::ADD, shape, shape, data_type0, data_type1,
output_data_type, convert_policy, QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), ActivationLayerInfo(), false);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticAdditionBroadcastValidationFloatFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy, ActivationLayerInfo act_info)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::ADD, shape0, shape1, data_type0, data_type1,
output_data_type, convert_policy, QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, false);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticAdditionValidationFloatFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy, ActivationLayerInfo act_info)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::ADD, shape, shape, data_type0, data_type1,
output_data_type, convert_policy, QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, false);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticAdditionValidationQuantizedFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy,
QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::ADD, shape, shape, data_type0, data_type1,
output_data_type, convert_policy, qinfo0, qinfo1, qinfo_out, ActivationLayerInfo(), false);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticSubtractionBroadcastValidationFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy, bool in_place)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::SUB, shape0, shape1,
data_type0, data_type1, output_data_type, convert_policy,
QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), ActivationLayerInfo(), in_place);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticSubtractionBroadcastValidationFloatFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy, ActivationLayerInfo act_info,
bool in_place)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::SUB, shape0, shape1,
data_type0, data_type1, output_data_type, convert_policy,
QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, in_place);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticSubtractionValidationFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy, bool in_place)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::SUB, shape, shape,
data_type0, data_type1, output_data_type, convert_policy,
QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), ActivationLayerInfo(), in_place);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticSubtractionValidationFloatFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy, ActivationLayerInfo act_info, bool in_place)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::SUB, shape, shape,
data_type0, data_type1, output_data_type, convert_policy,
QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, in_place);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticSubtractionValidationQuantizedFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ConvertPolicy convert_policy,
QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool in_place)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::SUB, shape, shape,
data_type0, data_type1, output_data_type,
convert_policy, qinfo0, qinfo1, qinfo_out, ActivationLayerInfo(), in_place);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class ArithmeticSubtractionValidationQuantizedBroadcastFixture : public ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
ConvertPolicy convert_policy, QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool in_place)
{
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::SUB, shape0, shape1,
data_type0, data_type1, output_data_type, convert_policy,
qinfo0, qinfo1, qinfo_out, ActivationLayerInfo(), in_place);
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_ARITHMETIC_OPERATIONS_FIXTURE */
|
