| /* |
| * Copyright (c) 2016-2021 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/cpu/kernels/CpuGemmMatrixAdditionKernel.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 cpu |
| { |
| namespace kernels |
| { |
| namespace |
| { |
| void matrix_addition_f32(const ITensor *src, ITensor *dst, const Window &window, float beta) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| const float32x4_t beta_f32 = vdupq_n_f32(beta); |
| |
| constexpr int window_step_x = 16; |
| const auto window_start_x = static_cast<int>(window.x().start()); |
| const auto window_end_x = static_cast<int>(window.x().end()); |
| |
| Window win = window.collapse_if_possible(window, Window::DimZ); |
| win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| |
| Iterator in(src, win); |
| Iterator out(dst, win); |
| |
| execute_window_loop(win, [&](const Coordinates &) |
| { |
| const auto in_ptr = reinterpret_cast<const float *>(in.ptr()); |
| const auto out_ptr = reinterpret_cast<float *>(out.ptr()); |
| |
| int x = window_start_x; |
| for(; x < (window_end_x - window_step_x); x += window_step_x) |
| { |
| float32x4x4_t alpha_ab = vld4q_f32(out_ptr + x); |
| const float32x4x4_t c = vld4q_f32(in_ptr + x); |
| |
| // 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 + x, alpha_ab); |
| } |
| |
| // Left-over loop |
| for(; x < window_end_x; ++x) |
| { |
| *(out_ptr + x) += *(in_ptr + x) * beta; |
| } |
| }, |
| in, out); |
| } |
| |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| void matrix_addition_f16(const ITensor *src, ITensor *dst, const Window &window, float beta) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| const float16x8_t beta_f16 = vdupq_n_f16(beta); |
| |
| constexpr int window_step_x = 16; |
| const auto window_start_x = static_cast<int>(window.x().start()); |
| const auto window_end_x = static_cast<int>(window.x().end()); |
| |
| Window win = window.collapse_if_possible(window, Window::DimZ); |
| win.set(Window::DimX, Window::Dimension(0, 1, 1)); |
| |
| Iterator in(src, win); |
| Iterator out(dst, win); |
| |
| 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()); |
| |
| int x = window_start_x; |
| for(; x < (window_end_x - window_step_x); x += window_step_x) |
| { |
| float16x8x2_t alpha_ab = vld2q_f16(out_ptr + x); |
| const float16x8x2_t c = vld2q_f16(in_ptr + x); |
| // 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 + x, alpha_ab); |
| } |
| |
| // Left-over loop |
| for(; x < window_end_x; ++x) |
| { |
| *(out_ptr + x) += *(in_ptr + x) * static_cast<float16_t>(beta); |
| } |
| }, |
| in, out); |
| } |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| |
| } // namespace |
| |
| void CpuGemmMatrixAdditionKernel::configure(const ITensorInfo *src, ITensorInfo *dst, float beta) |
| { |
| ARM_COMPUTE_UNUSED(dst); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| |
| // Perform validation step |
| ARM_COMPUTE_ERROR_THROW_ON(CpuGemmMatrixAdditionKernel::validate(src, dst, beta)); |
| |
| _beta = beta; |
| switch(src->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 |
| Window win = calculate_max_window(*src, Steps()); |
| ICPPKernel::configure(win); |
| } |
| |
| Status CpuGemmMatrixAdditionKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, float beta) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_UNUSED(beta); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32); |
| |
| if(dst->total_size() > 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst); |
| } |
| return Status{}; |
| } |
| |
| void CpuGemmMatrixAdditionKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); |
| ARM_COMPUTE_ERROR_ON(tensors.empty()); |
| |
| const ITensor *src = tensors.get_const_tensor(TensorType::ACL_SRC); |
| ITensor *dst = tensors.get_tensor(TensorType::ACL_DST); |
| |
| if(_beta != 0.0f) |
| { |
| (*_func)(src, dst, window, _beta); |
| } |
| } |
| |
| const char *CpuGemmMatrixAdditionKernel::name() const |
| { |
| return "CpuGemmMatrixAdditionKernel"; |
| } |
| } // namespace kernels |
| } // namespace cpu |
| } // namespace arm_compute |