From e75a02b60736f37c34388c23c0ccee230f65da59 Mon Sep 17 00:00:00 2001 From: Gian Marco Date: Wed, 8 Nov 2017 12:24:09 +0000 Subject: COMPMID-675 - Reworked NEGEMMLowp interface/function The new interface makes NEGEMMLowp able to work with ASYMM8 data types. Implemented 2 new functions: - NEGEMMLowpMatrixMultiplyCore - NEGEMMLowpOutputStage These functions should make the integration in android NN doable For more information about GEMMLowp: https://github.com/google/gemmlowp/blob/master/doc/low-precision.md Change-Id: Ie2c775f45234f68ca53dba644b3a912b997fd890 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/95504 Tested-by: Kaizen Reviewed-by: Pablo Tello --- ...GEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp | 141 +++++++++++++++++++++ 1 file changed, 141 insertions(+) create mode 100644 src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp (limited to 'src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp') diff --git a/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp b/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp new file mode 100644 index 0000000000..aa3c280788 --- /dev/null +++ b/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp @@ -0,0 +1,141 @@ +/* + * 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/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +#include +#include +#include + +using namespace arm_compute; + +namespace arm_compute +{ +class Coordinates; +} // namespace arm_compute + +NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel() + : _input(nullptr), _output(nullptr), _result_offset(0), _result_mult_int(0), _result_shift(0) +{ +} + +void NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure(const ITensor *input, ITensor *output, int result_offset, int result_mult_int, int result_shift) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QASYMM8); + + _input = input; + _output = output; + _result_offset = result_offset; + _result_mult_int = result_mult_int; + _result_shift = result_shift; + + constexpr unsigned int num_elems_processed_per_iteration = 16; + + // Configure kernel window + Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); + + AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration); + AccessWindowHorizontal output_result_access(output->info(), 0, num_elems_processed_per_iteration); + + update_window_and_padding(win, + input_access, + output_result_access); + + output_result_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->info()->tensor_shape())); + + INEKernel::configure(win); +} + +void NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::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); + + const int32x4_t result_offset_s32 = vdupq_n_s32(_result_offset); + const int32x4_t result_shift_s32 = vdupq_n_s32(-_result_shift); + const int32x4_t zero_s32 = vdupq_n_s32(0); + + Iterator in(_input, window); + Iterator out(_output, window); + + execute_window_loop(window, [&](const Coordinates & id) + { + int32x4x4_t in_s32 = + { + { + vld1q_s32(reinterpret_cast(in.ptr()) + 0), + vld1q_s32(reinterpret_cast(in.ptr()) + 4), + vld1q_s32(reinterpret_cast(in.ptr()) + 8), + vld1q_s32(reinterpret_cast(in.ptr()) + 12) + } + }; + + // Add the offset terms to GEMM's result + in_s32.val[0] = vaddq_s32(in_s32.val[0], result_offset_s32); + in_s32.val[1] = vaddq_s32(in_s32.val[1], result_offset_s32); + in_s32.val[2] = vaddq_s32(in_s32.val[2], result_offset_s32); + in_s32.val[3] = vaddq_s32(in_s32.val[3], result_offset_s32); + + // Multiply by c_mult_int + in_s32.val[0] = vmulq_n_s32(in_s32.val[0], _result_mult_int); + in_s32.val[1] = vmulq_n_s32(in_s32.val[1], _result_mult_int); + in_s32.val[2] = vmulq_n_s32(in_s32.val[2], _result_mult_int); + in_s32.val[3] = vmulq_n_s32(in_s32.val[3], _result_mult_int); + + // Shift final result (negative value shift right) + in_s32.val[0] = vshlq_s32(in_s32.val[0], result_shift_s32); + in_s32.val[1] = vshlq_s32(in_s32.val[1], result_shift_s32); + in_s32.val[2] = vshlq_s32(in_s32.val[2], result_shift_s32); + in_s32.val[3] = vshlq_s32(in_s32.val[3], result_shift_s32); + + // Saturate negative values + in_s32.val[0] = vmaxq_s32(in_s32.val[0], zero_s32); + in_s32.val[1] = vmaxq_s32(in_s32.val[1], zero_s32); + in_s32.val[2] = vmaxq_s32(in_s32.val[2], zero_s32); + in_s32.val[3] = vmaxq_s32(in_s32.val[3], zero_s32); + + // Convert S32 to S16 + const int16x8x2_t in_s16 = + { + { + vcombine_s16(vqmovn_s32(in_s32.val[0]), vqmovn_s32(in_s32.val[1])), + vcombine_s16(vqmovn_s32(in_s32.val[2]), vqmovn_s32(in_s32.val[3])) + } + }; + + // Convert S16 to U8 + const uint8x16_t out_u8 = vcombine_u8(vqmovun_s16(in_s16.val[0]), vqmovun_s16(in_s16.val[1])); + + vst1q_u8(out.ptr(), out_u8); + }, + in, out); +} \ No newline at end of file -- cgit v1.2.1