179 lines
6.3 KiB
C++
179 lines
6.3 KiB
C++
/*
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* Copyright (c) 2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_LOGICAL_FIXTURE
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#define ARM_COMPUTE_TEST_LOGICAL_FIXTURE
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.h"
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#include "tests/AssetsLibrary.h"
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#include "tests/Globals.h"
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#include "tests/IAccessor.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Fixture.h"
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#include "tests/validation/reference/Logical.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class LogicalOperationValidationFixtureBase : public framework::Fixture
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{
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protected:
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template <typename U>
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void fill(U &&tensor, int i)
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{
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constexpr auto zero = (uint8_t)0;
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constexpr auto one = (uint8_t)0x1;
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constexpr auto mixed = (uint8_t)0xAA;
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constexpr auto mixed_bitwise_not = (uint8_t) ~(0xAA);
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library->fill_static_values(tensor, i == 0 ?
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std::vector<uint8_t> { zero, one, zero, one, mixed, zero, mixed } :
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std::vector<uint8_t> { zero, zero, one, one, zero, mixed, mixed_bitwise_not });
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}
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void allocate_tensor(std::initializer_list<TensorType *> tensors)
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{
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for(auto t : tensors)
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{
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ARM_COMPUTE_EXPECT(t->info()->is_resizable(), framework::LogLevel::ERRORS);
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t->allocator()->allocate();
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ARM_COMPUTE_EXPECT(!t->info()->is_resizable(), framework::LogLevel::ERRORS);
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}
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}
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TensorType _target{};
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SimpleTensor<T> _reference{};
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};
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template <typename T>
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using LogicalBinaryRefFunctionPtrType = SimpleTensor<T>(const SimpleTensor<T> &, const SimpleTensor<T> &);
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T, LogicalBinaryRefFunctionPtrType<T> RefFunction>
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class LogicalBinaryOperationValidationFixture : public LogicalOperationValidationFixtureBase<TensorType, AccessorType, FunctionType, T>
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{
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using Parent = LogicalOperationValidationFixtureBase<TensorType, AccessorType, FunctionType, T>;
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public:
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template <typename...>
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void setup(TensorShape shape0, TensorShape shape1)
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{
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Parent::_target = compute_target(shape0, shape1);
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Parent::_reference = compute_reference(shape0, shape1);
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}
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private:
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TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1)
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{
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TensorType src0 = create_tensor<TensorType>(shape0, _data_type);
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TensorType src1 = create_tensor<TensorType>(shape1, _data_type);
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TensorType dst = create_tensor<TensorType>(TensorShape::broadcast_shape(shape0, shape1), _data_type);
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FunctionType logical_binary_op;
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logical_binary_op.configure(&src0, &src1, &dst);
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Parent::allocate_tensor({ &src0, &src1, &dst });
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Parent::fill(AccessorType(src0), 0);
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Parent::fill(AccessorType(src1), 1);
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logical_binary_op.run();
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return dst;
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}
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SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1)
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{
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// Create reference
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SimpleTensor<T> src0{ shape0, _data_type };
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SimpleTensor<T> src1{ shape1, _data_type };
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// Fill reference
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Parent::fill(src0, 0);
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Parent::fill(src1, 1);
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return RefFunction(src0, src1);
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}
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static constexpr auto _data_type = DataType::U8;
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};
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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using LogicalOrValidationFixture = LogicalBinaryOperationValidationFixture<TensorType, AccessorType, FunctionType, T, &reference::logical_or<T>>;
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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using LogicalAndValidationFixture = LogicalBinaryOperationValidationFixture<TensorType, AccessorType, FunctionType, T, &reference::logical_and<T>>;
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template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
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class LogicalNotValidationFixture : public LogicalOperationValidationFixtureBase<TensorType, AccessorType, FunctionType, T>
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{
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using Parent = LogicalOperationValidationFixtureBase<TensorType, AccessorType, FunctionType, T>;
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public:
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template <typename...>
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void setup(TensorShape shape, DataType data_type)
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{
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Parent::_target = compute_target(shape, data_type);
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Parent::_reference = compute_reference(shape, data_type);
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}
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private:
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TensorType compute_target(const TensorShape &shape, DataType data_type)
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{
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TensorType src = create_tensor<TensorType>(shape, data_type);
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TensorType dst = create_tensor<TensorType>(shape, data_type);
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FunctionType logical_not;
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logical_not.configure(&src, &dst);
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Parent::allocate_tensor({ &src, &dst });
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Parent::fill(AccessorType(src), 0);
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logical_not.run();
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return dst;
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}
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SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type)
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{
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// Create reference
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SimpleTensor<T> src{ shape, data_type };
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// Fill reference
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Parent::fill(src, 0);
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return reference::logical_not<T>(src);
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}
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};
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_LOGICAL_FIXTURE */
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