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Diffstat (limited to 'src/runtime/GLES_COMPUTE/functions/GCGEMM.cpp')
| -rw-r--r-- | src/runtime/GLES_COMPUTE/functions/GCGEMM.cpp | 211 |
1 files changed, 0 insertions, 211 deletions
diff --git a/src/runtime/GLES_COMPUTE/functions/GCGEMM.cpp b/src/runtime/GLES_COMPUTE/functions/GCGEMM.cpp deleted file mode 100644 index ddfe590ee1..0000000000 --- a/src/runtime/GLES_COMPUTE/functions/GCGEMM.cpp +++ /dev/null @@ -1,211 +0,0 @@ -/* - * Copyright (c) 2017-2019 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/GLES_COMPUTE/functions/GCGEMM.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h" -#include "arm_compute/core/GLES_COMPUTE/IGCTensor.h" -#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMInterleave4x4Kernel.h" -#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixAdditionKernel.h" -#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMMatrixMultiplyKernel.h" -#include "arm_compute/core/GLES_COMPUTE/kernels/GCGEMMTranspose1xWKernel.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/runtime/GLES_COMPUTE/GCScheduler.h" -#include "arm_compute/runtime/ITensorAllocator.h" - -using namespace arm_compute; - -namespace -{ -Status validate_arguments(const ITensorInfo *a, const ITensorInfo *b, const IGCTensor *c, const ITensorInfo *output, const float alpha, const float beta, const GEMMInfo &gemm_info = GEMMInfo()) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(a, b, output); - - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(a, 1, DataType::F16, DataType::F32); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(a, b, output); - ARM_COMPUTE_ERROR_ON_MSG(gemm_info.is_a_reshaped(), "Matrix A already reshaped is not supported"); - ARM_COMPUTE_ERROR_ON_MSG(gemm_info.is_b_reshaped(), "Matrix B already reshaped is not supported"); - - if(c != nullptr) - { - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(a, c->info()); - ARM_COMPUTE_ERROR_ON_MSG(a->dimension(1) != c->info()->dimension(1), "The C matrix must have the same number of rows as the matrix A"); - ARM_COMPUTE_ERROR_ON_MSG(b->dimension(0) != c->info()->dimension(0), "The C matrix must have the same number of columns as the matrix B"); - } - - if(output->total_size() != 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_MSG(b->dimension(0) != output->dimension(0), "The output matrix must have the same number of columns as the matrix B"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(a->dimension(1) != output->dimension(1), "The output matrix must have the same number of rows as the matrix A"); - } - - ARM_COMPUTE_RETURN_ERROR_ON_MSG(a->dimension(0) != b->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_UNUSED(alpha); - ARM_COMPUTE_UNUSED(beta); - ARM_COMPUTE_UNUSED(gemm_info); - return Status{}; -} -} // namespace - -GCGEMM::GCGEMM(std::shared_ptr<IMemoryManager> memory_manager) - : _memory_group(std::move(memory_manager)), _interleave_kernel(), _transpose_kernel(), _mm_kernel(), _ma_kernel(), _tmp_a(), _tmp_b(), _original_b(nullptr), _is_interleaved_transposed(false), - _run_addition(false), _reshape_b_only_on_first_run(false), _is_prepared(false) -{ -} - -void GCGEMM::configure(const IGCTensor *a, const IGCTensor *b, const IGCTensor *c, IGCTensor *output, float alpha, float beta, const GEMMInfo &gemm_info) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(a, b, output); - - // Perform validation step - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(a->info(), b->info(), c, output->info(), alpha, beta, gemm_info)); - - // Check if we need to reshape the matrix B only on the first run - _reshape_b_only_on_first_run = gemm_info.reshape_b_only_on_first_run(); - _is_prepared = false; - _original_b = b; - - const IGCTensor *matrix_a = a; - const IGCTensor *matrix_b = b; - - // Get the GPU target - const GPUTarget gpu_target = GCScheduler::get().get_target(); - - // Set the target for the kernels - _interleave_kernel.set_target(gpu_target); - _mm_kernel.set_target(gpu_target); - - // Arguments used by GEMMReshapeInfo - // If we pass the matrix A and matrix B reshaped to GCGEMMMatrixMultiplyKernel, we need to pass m, n, k, mult_transpose1xW_width and mult_interleave4x4_height to GCGEMMReshapeInfo - // in order to know how the matrices have been reshaped - const int m = a->info()->dimension(1); - const int n = b->info()->dimension(0); - const int k = a->info()->dimension(0); - int mult_transpose1xW_width = 1; - int mult_interleave4x4_height = 1; - - // If the input tensor has less than 16 rows, we run a special version of GEMM without reshaping the input tensors - _is_interleaved_transposed = a->info()->dimension(1) > 16; - - if(_is_interleaved_transposed) - { - matrix_a = &_tmp_a; - matrix_b = &_tmp_b; - - // Manage intermediate buffers - _memory_group.manage(&_tmp_a); - if(!_reshape_b_only_on_first_run) - { - _memory_group.manage(&_tmp_b); - } - // _tmp_a and _tmp_b will be auto configured in _interleave_kernel and in _transpose_kernel - - // Configure interleave kernel - _interleave_kernel.configure(a, &_tmp_a); - - // Configure transpose kernel - _transpose_kernel.configure(b, &_tmp_b); - } - - _mm_kernel.configure(matrix_a, matrix_b, output, alpha, _is_interleaved_transposed, GEMMReshapeInfo(m, n, k, mult_transpose1xW_width, mult_interleave4x4_height)); - - if(_is_interleaved_transposed) - { - // Allocate intermediate tensors - _tmp_a.allocator()->allocate(); - if(!_reshape_b_only_on_first_run) - { - _tmp_b.allocator()->allocate(); - } - } - - // Configure matrix addition kernel - if(beta != 0 && c != nullptr) - { - _ma_kernel.configure(c, output, beta); - _run_addition = true; - } -} - -Status GCGEMM::validate(const ITensorInfo *a, const ITensorInfo *b, const IGCTensor *c, const ITensorInfo *output, const float alpha, const float beta, const GEMMInfo &gemm_info) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(a, b, c, output, alpha, beta, gemm_info)); - return Status{}; -} - -void GCGEMM::run() -{ - prepare(); - - MemoryGroupResourceScope scope_mg(_memory_group); - - if(_is_interleaved_transposed) - { - // Run interleave kernel - GCScheduler::get().dispatch(_interleave_kernel, false); - - if(!_reshape_b_only_on_first_run) - { - // Run transpose kernel - GCScheduler::get().dispatch(_transpose_kernel, false); - } - - GCScheduler::get().memory_barrier(); - } - - // Run matrix multiply kernel - GCScheduler::get().dispatch(_mm_kernel, !_run_addition); - - // Run matrix addition kernel - if(_run_addition) - { - GCScheduler::get().memory_barrier(); - GCScheduler::get().dispatch(_ma_kernel); - } -} - -void GCGEMM::prepare() -{ - if(!_is_prepared) - { - if(_is_interleaved_transposed && _reshape_b_only_on_first_run) - { - ARM_COMPUTE_ERROR_ON(!_original_b->is_used()); - - // Run transpose kernel - _tmp_b.allocator()->allocate(); - GCScheduler::get().dispatch(_transpose_kernel, false); - GCScheduler::get().memory_barrier(); - - // Mark original weights tensor as unused - _original_b->mark_as_unused(); - } - - _is_prepared = true; - } -} |