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Diffstat (limited to 'src/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.cpp | 142 |
1 files changed, 0 insertions, 142 deletions
diff --git a/src/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.cpp b/src/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.cpp deleted file mode 100644 index 09637dd2d6..0000000000 --- a/src/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.cpp +++ /dev/null @@ -1,142 +0,0 @@ -/* - * 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. - */ -#include "arm_compute/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/runtime/NEON/NEScheduler.h" -#include "arm_compute/runtime/TensorAllocator.h" -#include "src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h" -#include "src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.h" -#include "src/core/NEON/kernels/NEGEMMTranspose1xWKernel.h" -#include "support/MemorySupport.h" - -namespace arm_compute -{ -NEGEMMLowpAssemblyMatrixMultiplyCore::~NEGEMMLowpAssemblyMatrixMultiplyCore() = default; - -NEGEMMLowpAssemblyMatrixMultiplyCore::NEGEMMLowpAssemblyMatrixMultiplyCore(std::shared_ptr<IMemoryManager> memory_manager) - : _memory_group(memory_manager), _asm_glue(memory_manager), _mm_kernel(nullptr), _mtx_a_reshape_kernel(nullptr), _mtx_b_reshape_kernel(nullptr), _tmp_a(), _tmp_b() -{ -} - -void NEGEMMLowpAssemblyMatrixMultiplyCore::configure(const ITensor *a, const ITensor *b, const ITensor *c, ITensor *output) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(a, 1, DataType::U8, DataType::S8); - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U32, DataType::S32); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(a, b); - ARM_COMPUTE_ERROR_ON_MSG((a)->info()->dimension(0) != (b)->info()->dimension(1), "The product AB is defined only if the number of columns in A is equal to the number of rows in B"); - ARM_COMPUTE_ERROR_ON_MSG((a)->info()->dimension(1) != (output)->info()->dimension(1), "The output matrix must have the same number of rows as the matrix A"); - ARM_COMPUTE_ERROR_ON_MSG((b)->info()->dimension(0) != (output)->info()->dimension(0), "The output matrix must have the same number of columns as the matrix B"); - - bool run_optimised = false; - switch(a->info()->data_type()) - { - case DataType::S8: - case DataType::QASYMM8: - case DataType::U8: - { - _asm_glue.configure(a, b, c, output, GEMMInfo(false, false, true)); - run_optimised = _asm_glue.is_configured(); - break; - } - default: - { - ARM_COMPUTE_ERROR("Datatype not supported"); - break; - } - } - if(!run_optimised) - { - // The interleaved output matrix will have the following shape: [ a_height * 4, ceil(a_width / 4.0f) ] - TensorShape shape_tmp_a = a->info()->tensor_shape(); - shape_tmp_a.set(0, a->info()->dimension(0) * 4); - shape_tmp_a.set(1, std::ceil(a->info()->dimension(1) / 4.f)); - - // The transpose1xW output matrix will have the following shape: [ b_height * 16, ceil(b_width / 16.0f) ] - TensorShape shape_tmp_b = b->info()->tensor_shape(); - shape_tmp_b.set(0, b->info()->dimension(1) * 16); - shape_tmp_b.set(1, std::ceil(b->info()->dimension(0) / 16.f)); - - TensorInfo info_a(shape_tmp_a, 1, a->info()->data_type()); - TensorInfo info_b(shape_tmp_b, 1, b->info()->data_type()); - _tmp_a.allocator()->init(info_a); - _tmp_b.allocator()->init(info_b); - _memory_group.manage(&_tmp_a); - _memory_group.manage(&_tmp_b); - - // Configure interleave kernel - { - auto k = arm_compute::support::cpp14::make_unique<NEGEMMInterleave4x4Kernel>(); - k->configure(a, &_tmp_a); - _mtx_a_reshape_kernel = std::move(k); - } - - // Configure transpose kernel - { - auto k = arm_compute::support::cpp14::make_unique<NEGEMMTranspose1xWKernel>(); - k->configure(b, &_tmp_b); - _mtx_b_reshape_kernel = std::move(k); - } - - // Configure matrix multiply kernel - { - auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixMultiplyKernel>(); - k->configure(&_tmp_a, &_tmp_b, output); - _mm_kernel = std::move(k); - } - - // Allocate tensors - _tmp_a.allocator()->allocate(); - _tmp_b.allocator()->allocate(); - } -} - -void NEGEMMLowpAssemblyMatrixMultiplyCore::run() -{ - MemoryGroupResourceScope scope_mg(_memory_group); - if(_mtx_a_reshape_kernel) - { - NEScheduler::get().schedule(_mtx_a_reshape_kernel.get(), Window::DimY); - } - - if(_mtx_b_reshape_kernel) - { - NEScheduler::get().schedule(_mtx_b_reshape_kernel.get(), Window::DimY); - } - - if(_asm_glue.is_configured()) - { - _asm_glue.run(); - } - else - { - NEScheduler::get().schedule(_mm_kernel.get(), Window::DimY); - } -} -} // namespace arm_compute
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