/* * Copyright (c) 2016-2018 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/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/ITensor.h" #include "arm_compute/core/NEON/INEKernel.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/Window.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include #include #include #include using namespace arm_compute; using namespace arm_compute::misc::shape_calculator; namespace { Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output) { //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions. ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::U8, DataType::S8, DataType::U16, DataType::S16, DataType::U32, DataType::S32, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); if(output->total_size() != 0) { TensorShape output_shape = input->tensor_shape(); output_shape.set(0, input->dimension(0) * 4); output_shape.set(1, std::ceil(input->dimension(1) / 4.0f)); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), output_shape); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); } return Status{}; } std::pair validate_and_configure_window(ITensorInfo *input, ITensorInfo *output) { unsigned int num_elems_processed_per_iteration_x = (input->element_size() == 1) ? 8 : 4; constexpr unsigned int num_elems_processed_per_iteration_y = 4; bool window_changed = false; // Configure kernel window Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y)); AccessWindowRectangle input_access(input, 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y); window_changed = window_changed || update_window_and_padding(win, input_access); // Configure window in case of configured output if(output->total_size() != 0) { AccessWindowRectangle output_access(output, 0, 0, num_elems_processed_per_iteration_x * num_elems_processed_per_iteration_y, 1, 4.0f, 0.25f); window_changed = window_changed || update_window_and_padding(win, output_access); output_access.set_valid_region(win, input->valid_region()); } Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; return std::make_pair(err, win); } void gemm_interleave_8bit_elements(const ITensor *input, ITensor *output, const Window &window) { const size_t in_stride = input->info()->strides_in_bytes()[1]; // Set window for output tensor Window win_out(window); win_out.scale(Window::DimY, 0.25f); Iterator in(input, window); win_out.set_dimension_step(Window::DimX, 32); Iterator out(output, win_out); execute_window_loop(window, [&](const Coordinates &) { const uint8x8x4_t data = { { vld1_u8(in.ptr() + 0 * in_stride), vld1_u8(in.ptr() + 1 * in_stride), vld1_u8(in.ptr() + 2 * in_stride), vld1_u8(in.ptr() + 3 * in_stride), } }; vst4_u8(out.ptr(), data); }, in, out); } void gemm_interleave_16bit_elements(const ITensor *input, ITensor *output, const Window &window) { const size_t in_stride = input->info()->strides_in_bytes()[1]; // Set window for output tensor Window win_out(window); win_out.scale(Window::DimY, 0.25f); Iterator in(input, window); win_out.set_dimension_step(Window::DimX, 16); Iterator out(output, win_out); execute_window_loop(window, [&](const Coordinates & id) { const uint16x4x4_t data = { { vld1_u16(reinterpret_cast(in.ptr() + 0 * in_stride)), vld1_u16(reinterpret_cast(in.ptr() + 1 * in_stride)), vld1_u16(reinterpret_cast(in.ptr() + 2 * in_stride)), vld1_u16(reinterpret_cast(in.ptr() + 3 * in_stride)), } }; vst4_u16(reinterpret_cast(out.ptr()), data); }, in, out); } void gemm_interleave_32bit_elements(const ITensor *input, ITensor *output, const Window &window) { const size_t in_stride = input->info()->strides_in_bytes()[1]; // Set window for output tensor Window win_out(window); win_out.scale(Window::DimY, 0.25f); Iterator in(input, window); win_out.set_dimension_step(Window::DimX, 16); Iterator out(output, win_out); execute_window_loop(window, [&](const Coordinates & id) { const uint32x4x4_t data = { { vld1q_u32(reinterpret_cast(in.ptr() + 0 * in_stride)), vld1q_u32(reinterpret_cast(in.ptr() + 1 * in_stride)), vld1q_u32(reinterpret_cast(in.ptr() + 2 * in_stride)), vld1q_u32(reinterpret_cast(in.ptr() + 3 * in_stride)) } }; vst4q_u32(reinterpret_cast(out.ptr()), data); }, in, out); } } // namespace NEGEMMInterleave4x4Kernel::NEGEMMInterleave4x4Kernel() : _func(nullptr) { } void NEGEMMInterleave4x4Kernel::configure(const ITensor *input, ITensor *output) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); // Output auto inizialitation if not yet initialized auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(compute_interleaved_shape(*input->info()))); // Perform validate step ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info())); _input = input; _output = output; switch(input->info()->element_size()) { case 1: _func = &gemm_interleave_8bit_elements; break; case 2: _func = &gemm_interleave_16bit_elements; break; case 4: _func = &gemm_interleave_32bit_elements; break; default: ARM_COMPUTE_ERROR_ON("Element size not supported"); break; } // Configure kernel window auto win_config = validate_and_configure_window(input->info(), output->info()); ARM_COMPUTE_ERROR_THROW_ON(win_config.first); INEKernel::configure(win_config.second); } Status NEGEMMInterleave4x4Kernel::validate(const ITensorInfo *input, const ITensorInfo *output) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output)); ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first); return Status{}; } void NEGEMMInterleave4x4Kernel::run(const Window &window, const ThreadInfo &info) { ARM_COMPUTE_UNUSED(info); ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); ARM_COMPUTE_ERROR_ON(_func == nullptr); /* * This kernel puts the values in a 4x4 block of Matrix A on the same row (Interleaved values) * |a00 a01 a02 a03| * |a10 a11 a12 a13| * |a20 a21 a22 a23| = | a00 a10 a20 a30 || a01 a11 a21 a31 || a02 a12 a22 a32 || a03 a13 a23 a33 | * |a30 a31 a32 a33| * * After this operation, the output matrix will have the following shape: [ height * 4, ceil(width / 4.0f) ] */ (*_func)(_input, _output, window); }