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author | Pablo Tello <pablo.tello@arm.com> | 2017-11-15 13:28:27 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
commit | 181e65145d153210ec5587a42d2938e27e1d5b01 (patch) | |
tree | 70115705382ec4997d2f1ff44a33224f50ace38a /tests/validation/fixtures/GEMMLowpAssemblyFixture.h | |
parent | bc8fb0634339dfd662f4b2d825f74615b8a69bac (diff) | |
download | ComputeLibrary-181e65145d153210ec5587a42d2938e27e1d5b01.tar.gz |
COMPMID-675: NEGEMMLowp Assembly Integration
Added support for S8 input in NEGEMMLowp Matrix Multiply Kernel.
Added a new function to run assembly kernels such that A*B=C (no offsets involved)
Added new tests for the assembly gemmlowp kernels (no offsets)
Integrated the assembly kernel for the A57
Change-Id: Ib3e39c1f3f7f1baa0d39be69485f61cd18e3c9b3
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/95864
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/validation/fixtures/GEMMLowpAssemblyFixture.h')
-rw-r--r-- | tests/validation/fixtures/GEMMLowpAssemblyFixture.h | 121 |
1 files changed, 121 insertions, 0 deletions
diff --git a/tests/validation/fixtures/GEMMLowpAssemblyFixture.h b/tests/validation/fixtures/GEMMLowpAssemblyFixture.h new file mode 100644 index 0000000000..a2587440fb --- /dev/null +++ b/tests/validation/fixtures/GEMMLowpAssemblyFixture.h @@ -0,0 +1,121 @@ +/* + * Copyright (c) 2017 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_GEMMLOWP_ASSEMBLY_FIXTURE +#define ARM_COMPUTE_TEST_GEMMLOWP_ASSEMBLY_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/CPP/GEMMLowp.h" +#include "tests/validation/Helpers.h" + +#include <random> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType> +class GEMMLowpAssemblyFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(size_t m, size_t n, size_t k) + { + const TensorShape shape_a(k, m); + const TensorShape shape_b(n, k); + const TensorShape shape_c(n, m); + _target = compute_target(shape_a, shape_b, shape_c); + _reference = compute_reference(shape_a, shape_b, shape_c); + } + +protected: + template <typename U> + void fill(U &&tensor, int i, int lo, int hi) + { + std::uniform_int_distribution<> distribution(lo, hi); + library->fill(tensor, distribution, i); + } + + TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c) + { + // Create tensors + TensorType a = create_tensor<TensorType>(shape_a, DataType::S8, 1); + TensorType b = create_tensor<TensorType>(shape_b, DataType::S8, 1); + TensorType c = create_tensor<TensorType>(shape_c, DataType::S32, 1); + + // Create and configure function + FunctionType gemmlowp; + gemmlowp.configure(&a, &b, &c); + + ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + a.allocator()->allocate(); + b.allocator()->allocate(); + c.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!c.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(a), 0, -128, 127); + fill(AccessorType(b), 1, -128, 127); + fill(AccessorType(c), 2, 0, 0); + + // Compute GEMM function + gemmlowp.run(); + return c; + } + + SimpleTensor<int32_t> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c) + { + // Create reference + SimpleTensor<int8_t> a{ shape_a, DataType::S8, 1 }; + SimpleTensor<int8_t> b{ shape_b, DataType::S8, 1 }; + + // Fill reference + fill(a, 0, -128, 127); + fill(b, 1, -128, 127); + + return reference::gemmlowp(a, b); + } + + TensorType _target{}; + SimpleTensor<int32_t> _reference{}; +}; + +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_GEMMLOWP_FIXTURE */ |