296 lines
17 KiB
C++
296 lines
17 KiB
C++
/*
|
|
* 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 ArithmeticAdditionValidationQuantizedBroadcastFixture : 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)
|
|
{
|
|
ArithmeticOperationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(reference::ArithmeticOperation::ADD, shape0, shape1,
|
|
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 */
|