142 lines
4.8 KiB
C++
142 lines
4.8 KiB
C++
/*
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* Copyright (c) 2017-2019 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_GEMMLOWP_ASSEMBLY_FIXTURE
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#define ARM_COMPUTE_TEST_GEMMLOWP_ASSEMBLY_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/Helpers.h"
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#include "tests/validation/reference/GEMMLowp.h"
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#include <random>
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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 T2>
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class GEMMLowpAssemblyFixture : public framework::Fixture
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{
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public:
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template <typename...>
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void setup(size_t m, size_t n, size_t k)
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{
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const TensorShape shape_a(k, m);
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const TensorShape shape_b(n, k);
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const TensorShape shape_c(n, m);
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_target = compute_target(shape_a, shape_b, shape_c);
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_reference = compute_reference(shape_a, shape_b, shape_c);
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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, int lo, int hi)
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{
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std::uniform_int_distribution<> distribution(lo, hi);
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library->fill(tensor, distribution, i);
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}
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TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c)
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{
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DataType dt_in = std::is_same<T2, int8_t>::value ? DataType::S8 : DataType::U8;
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// Create tensors
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TensorType a = create_tensor<TensorType>(shape_a, dt_in, 1);
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TensorType b = create_tensor<TensorType>(shape_b, dt_in, 1);
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TensorType c = create_tensor<TensorType>(shape_c, DataType::S32, 1);
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// Create and configure function
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FunctionType gemmlowp;
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gemmlowp.configure(&a, &b, nullptr, &c);
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ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Allocate tensors
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a.allocator()->allocate();
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b.allocator()->allocate();
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c.allocator()->allocate();
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ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
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ARM_COMPUTE_EXPECT(!c.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Fill tensors
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if(dt_in == DataType::S8)
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{
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fill(AccessorType(a), 0, -128, 127);
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fill(AccessorType(b), 1, -128, 127);
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}
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else
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{
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fill(AccessorType(a), 0, 0, 255);
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fill(AccessorType(b), 1, 0, 255);
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}
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fill(AccessorType(c), 2, 0, 0);
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// Compute GEMM function
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gemmlowp.run();
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return c;
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}
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SimpleTensor<int32_t> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c)
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{
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DataType dt = std::is_same<T2, int8_t>::value ? DataType::S8 : DataType::U8;
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// Create reference
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SimpleTensor<T2> a{ shape_a, dt, 1 };
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SimpleTensor<T2> b{ shape_b, dt, 1 };
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// Fill reference
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if(dt == DataType::S8)
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{
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fill(a, 0, -128, 127);
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fill(b, 1, -128, 127);
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}
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else
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{
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fill(a, 0, 0, 255);
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fill(b, 1, 0, 255);
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}
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return reference::gemmlowp<int32_t, T2>(a, b, shape_c);
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}
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TensorType _target{};
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SimpleTensor<int32_t> _reference{};
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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_GEMMLOWP_FIXTURE */
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