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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_PIXEL_WISE_MULTIPLICATION_FIXTURE
#define ARM_COMPUTE_TEST_PIXEL_WISE_MULTIPLICATION_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/reference/ActivationLayer.h"
#include "tests/validation/reference/PixelWiseMultiplication.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
class PixelWiseMultiplicationGenericValidationFixture : public framework::Fixture
{
public:
template <typename...>
void setup(const TensorShape &shape0,
const TensorShape &shape1,
DataType dt_in1,
DataType dt_in2,
DataType dt_out,
float scale,
ConvertPolicy convert_policy,
RoundingPolicy rounding_policy,
QuantizationInfo qinfo0,
QuantizationInfo qinfo1,
QuantizationInfo qinfo_out,
ActivationLayerInfo act_info,
bool is_inplace)
{
_is_inplace = is_inplace;
_target = compute_target(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy, qinfo0, qinfo1, qinfo_out, act_info);
_reference = compute_reference(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy, qinfo0, qinfo1, qinfo_out, act_info);
}
protected:
template <typename U>
void fill(U &&tensor, unsigned int seed_offset)
{
library->fill_tensor_uniform(tensor, seed_offset);
}
TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out,
float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info)
{
// Create tensors
TensorType src1 = create_tensor<TensorType>(shape0, dt_in1, 1, qinfo0);
TensorType src2 = create_tensor<TensorType>(shape1, dt_in2, 1, qinfo1);
TensorType dst = create_tensor<TensorType>(TensorShape::broadcast_shape(shape0, shape1), dt_out, 1, qinfo_out);
auto allocate_tensor = [](TensorType & t)
{
ARM_COMPUTE_EXPECT(t.info()->is_resizable(), framework::LogLevel::ERRORS);
t.allocator()->allocate();
ARM_COMPUTE_EXPECT(!t.info()->is_resizable(), framework::LogLevel::ERRORS);
};
// Create and configure function
FunctionType multiply;
multiply.configure(&src1, &src2, (_is_inplace ? &src1 : &dst), scale, convert_policy, rounding_policy, act_info);
allocate_tensor(src1);
allocate_tensor(src2);
if(!_is_inplace)
{
allocate_tensor(dst);
}
// Fill tensors
fill(AccessorType(src1), 0);
fill(AccessorType(src2), 1);
// Compute function
multiply.run();
if(_is_inplace)
{
return src1;
}
return dst;
}
SimpleTensor<T3> compute_reference(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out,
float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info)
{
// Create reference
SimpleTensor<T1> src1{ shape0, dt_in1, 1, qinfo0 };
SimpleTensor<T2> src2{ shape1, dt_in2, 1, qinfo1 };
// 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 = _is_inplace ? qinfo0 : qinfo_out;
// Fill reference
fill(src1, 0);
fill(src2, 1);
auto result = reference::pixel_wise_multiplication<T1, T2, T3>(src1, src2, scale, convert_policy, rounding_policy, dt_out, output_qinfo);
return act_info.enabled() ? reference::activation_layer(result, act_info, output_qinfo) : result;
}
TensorType _target{};
SimpleTensor<T3> _reference{};
bool _is_inplace{ false };
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
class PixelWiseMultiplicationValidationFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, bool is_inplace)
{
PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape, shape, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), ActivationLayerInfo(), is_inplace);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
class PixelWiseMultiplicationBroadcastValidationFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
{
public:
template <typename...>
void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
bool is_inplace)
{
PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), ActivationLayerInfo(), is_inplace);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class PixelWiseMultiplicationValidationFloatFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy, ActivationLayerInfo act_info, bool is_inplace)
{
PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape, shape, dt_in1, dt_in2, dt_in2, scale, convert_policy, rounding_policy,
QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2>
class PixelWiseMultiplicationBroadcastValidationFloatFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>
{
public:
template <typename...>
void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
ActivationLayerInfo act_info, bool is_inplace)
{
PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2>::setup(shape0, shape1, dt_in1, dt_in2, dt_in2, scale, convert_policy, rounding_policy,
QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info, is_inplace);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
class PixelWiseMultiplicationValidationQuantizedFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
{
public:
template <typename...>
void setup(const TensorShape &shape, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
{
PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape, shape, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
qinfo0, qinfo1, qinfo_out, ActivationLayerInfo(), is_inplace);
}
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T1, typename T2, typename T3 = T2>
class PixelWiseMultiplicationBroadcastValidationQuantizedFixture : public PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>
{
public:
template <typename...>
void setup(const TensorShape &shape0, const TensorShape &shape1, DataType dt_in1, DataType dt_in2, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool is_inplace)
{
PixelWiseMultiplicationGenericValidationFixture<TensorType, AccessorType, FunctionType, T1, T2, T3>::setup(shape0, shape1, dt_in1, dt_in2, dt_out, scale, convert_policy, rounding_policy,
qinfo0, qinfo1, qinfo_out, ActivationLayerInfo(), is_inplace);
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_PIXEL_WISE_MULTIPLICATION_FIXTURE */
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