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Diffstat (limited to 'src/core/NEON/kernels/NEGEMMMatrixAdditionKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEGEMMMatrixAdditionKernel.cpp | 164 |
1 files changed, 0 insertions, 164 deletions
diff --git a/src/core/NEON/kernels/NEGEMMMatrixAdditionKernel.cpp b/src/core/NEON/kernels/NEGEMMMatrixAdditionKernel.cpp deleted file mode 100644 index 6a2802a991..0000000000 --- a/src/core/NEON/kernels/NEGEMMMatrixAdditionKernel.cpp +++ /dev/null @@ -1,164 +0,0 @@ -/* - * Copyright (c) 2016-2020 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 "src/core/NEON/kernels/NEGEMMMatrixAdditionKernel.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Validate.h" -#include "src/core/CPP/Validate.h" -#include "src/core/NEON/NEFixedPoint.h" -#include "src/core/helpers/AutoConfiguration.h" -#include "src/core/helpers/WindowHelpers.h" - -#include <arm_neon.h> - -namespace arm_compute -{ -namespace -{ -constexpr unsigned int num_elems_processed_per_iteration = 16; - -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, float beta) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); - ARM_COMPUTE_UNUSED(beta); - - ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); - - if(output->total_size() > 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); - } - - return Status{}; -} - -void matrix_addition_f32(const ITensor *input, ITensor *output, const Window &window, float beta) -{ - const float32x4_t beta_f32 = vdupq_n_f32(beta); - - Iterator in(input, window); - Iterator out(output, window); - - execute_window_loop(window, [&](const Coordinates &) - { - const auto in_ptr = reinterpret_cast<const float *>(in.ptr()); - const auto out_ptr = reinterpret_cast<float *>(out.ptr()); - - float32x4x4_t alpha_ab = vld4q_f32(out_ptr); - const float32x4x4_t c = vld4q_f32(in_ptr); - - // Multiply matrix C by its weight and accumulate - alpha_ab.val[0] = vmlaq_f32(alpha_ab.val[0], c.val[0], beta_f32); - alpha_ab.val[1] = vmlaq_f32(alpha_ab.val[1], c.val[1], beta_f32); - alpha_ab.val[2] = vmlaq_f32(alpha_ab.val[2], c.val[2], beta_f32); - alpha_ab.val[3] = vmlaq_f32(alpha_ab.val[3], c.val[3], beta_f32); - - vst4q_f32(out_ptr, alpha_ab); - }, - in, out); -} - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -void matrix_addition_f16(const ITensor *input, ITensor *output, const Window &window, float beta) -{ - const float16x8_t beta_f16 = vdupq_n_f16(beta); - - Iterator in(input, window); - Iterator out(output, window); - - execute_window_loop(window, [&](const Coordinates &) - { - const auto in_ptr = reinterpret_cast<const float16_t *>(in.ptr()); - const auto out_ptr = reinterpret_cast<float16_t *>(out.ptr()); - - float16x8x2_t alpha_ab = vld2q_f16(out_ptr); - const float16x8x2_t c = vld2q_f16(in_ptr); - // Multiply matrix C by its weight and accumulate - alpha_ab.val[0] = vaddq_f16(alpha_ab.val[0], vmulq_f16(c.val[0], beta_f16)); - alpha_ab.val[1] = vaddq_f16(alpha_ab.val[1], vmulq_f16(c.val[1], beta_f16)); - - vst2q_f16(out_ptr + 0, alpha_ab); - }, - in, out); -} -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - -} // namespace - -NEGEMMMatrixAdditionKernel::NEGEMMMatrixAdditionKernel() - : INESimpleKernel(), _func(nullptr), _beta(0.0f) -{ -} - -void NEGEMMMatrixAdditionKernel::configure(const ITensor *input, ITensor *output, float beta) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - - // Perform validation step - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), beta)); - - switch(input->info()->data_type()) - { - case DataType::F32: - _func = &matrix_addition_f32; - break; - case DataType::F16: -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - _func = &matrix_addition_f16; - break; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - default: - ARM_COMPUTE_ERROR("Data type not supported"); - break; - } - - // Configure kernel window - INESimpleKernel::configure(input, output, num_elems_processed_per_iteration); - - _beta = beta; -} - -Status NEGEMMMatrixAdditionKernel::validate(const ITensorInfo *input, const ITensorInfo *output, float beta) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, beta)); - ARM_COMPUTE_RETURN_ON_ERROR(INESimpleKernel::validate(input->clone().get(), output->clone().get(), num_elems_processed_per_iteration)); - return Status{}; -} - -void NEGEMMMatrixAdditionKernel::run(const Window &window, const ThreadInfo &info) -{ - ARM_COMPUTE_UNUSED(info); - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INESimpleKernel::window(), window); - - if(_beta != 0.0f) - { - (*_func)(_input, _output, window, _beta); - } -} -} // namespace arm_compute |