diff options
Diffstat (limited to 'src/runtime/NEON/functions/NEGEMMLowp.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NEGEMMLowp.cpp | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/src/runtime/NEON/functions/NEGEMMLowp.cpp b/src/runtime/NEON/functions/NEGEMMLowp.cpp new file mode 100644 index 0000000000..b64f769459 --- /dev/null +++ b/src/runtime/NEON/functions/NEGEMMLowp.cpp @@ -0,0 +1,84 @@ +/* + * 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. + */ +#include "arm_compute/runtime/NEON/functions/NEGEMMLowp.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" + +using namespace arm_compute; + +NEGEMMLowp::NEGEMMLowp() + : _interleave_kernel(), _transpose_kernel(), _mm_kernel(), _tmp_a(), _tmp_b() +{ +} + +void NEGEMMLowp::configure(const ITensor *a, const ITensor *b, ITensor *output, int32_t a_offset, int32_t b_offset, int32_t output_offset, int32_t output_mult_int, int32_t shift) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(a, 1, DataType::U8); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(b, 1, DataType::U8); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(a, b, output); + 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 C 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 C matrix must have the same number of columns as the matrix C"); + + /* 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)); + + 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); + + _interleave_kernel.configure(a, &_tmp_a); + _transpose_kernel.configure(b, &_tmp_b); + _mm_kernel.configure(&_tmp_a, &_tmp_b, output, a_offset, b_offset, output_offset, output_mult_int, shift); + + _tmp_a.allocator()->allocate(); + _tmp_b.allocator()->allocate(); +} + +void NEGEMMLowp::run() +{ + /* Run interleave kernel */ + NEScheduler::get().schedule(&_interleave_kernel, Window::DimY); + + /* Run transpose kernel */ + NEScheduler::get().schedule(&_transpose_kernel, Window::DimY); + + /* Run matrix multiply kernel */ + NEScheduler::get().schedule(&_mm_kernel, Window::DimY); +} |