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Diffstat (limited to 'src/core/cpu/kernels/CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp')
| -rw-r--r-- | src/core/cpu/kernels/CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp | 239 |
1 files changed, 0 insertions, 239 deletions
diff --git a/src/core/cpu/kernels/CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp b/src/core/cpu/kernels/CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp deleted file mode 100644 index 318b6a06f8..0000000000 --- a/src/core/cpu/kernels/CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.cpp +++ /dev/null @@ -1,239 +0,0 @@ -/* - * Copyright (c) 2019-2021 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/CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel.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/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "src/core/NEON/NEAsymm.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 -{ -Status validate_arguments(const ITensorInfo *src, const ITensorInfo *bias, const ITensorInfo *dst, int min, int max) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::S32); - ARM_COMPUTE_RETURN_ERROR_ON(min > max); - - // Check biases if exist - if(bias != nullptr) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, bias); - ARM_COMPUTE_RETURN_ERROR_ON(bias->num_dimensions() > 1); - ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(0) != bias->dimension(0)); - } - - if(dst->total_size() != 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::QASYMM8_SIGNED); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(dst, src); - } - - return Status{}; -} -} // namespace - -template <bool is_bounded_relu> -void CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::run_internal(const ITensor *src, const ITensor *bias, ITensor *dst, const Window &window) -{ - const int32x4_t result_offset_after_shift_s32 = vdupq_n_s32(_result_offset_after_shift); - const int8x16_t min_s8 = vdupq_n_s8(static_cast<int8_t>(_min)); - const int8x16_t max_s8 = vdupq_n_s8(static_cast<int8_t>(_max)); - - ARM_COMPUTE_UNUSED(min_s8, max_s8); - - const 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_collapsed = window.collapse_if_possible(window, Window::DimZ); - win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1)); - - Iterator in(src, win_collapsed); - Iterator out(dst, win_collapsed); - if(bias != nullptr) - { - Window win_biases; - win_biases.set(Window::DimX, Window::Dimension(0, 1, 1)); - win_biases.set(Window::DimY, Window::Dimension(0, 1, 1)); - - Iterator bias_i(bias, win_biases); - execute_window_loop(win_collapsed, [&](const Coordinates &) - { - // Compute 16 elements per iteration - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - int32x4x4_t in_s32 = - { - { - vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + x + 0), - vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + x + 4), - vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + x + 8), - vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + x + 12) - } - }; - - const int32x4x4_t bias_s32 = - { - { - vld1q_s32(reinterpret_cast<const int32_t *>(bias_i.ptr()) + x + 0), - vld1q_s32(reinterpret_cast<const int32_t *>(bias_i.ptr()) + x + 4), - vld1q_s32(reinterpret_cast<const int32_t *>(bias_i.ptr()) + x + 8), - vld1q_s32(reinterpret_cast<const int32_t *>(bias_i.ptr()) + x + 12) - } - }; - - // Add the bias to GEMM's result - in_s32.val[0] = vaddq_s32(in_s32.val[0], bias_s32.val[0]); - in_s32.val[1] = vaddq_s32(in_s32.val[1], bias_s32.val[1]); - in_s32.val[2] = vaddq_s32(in_s32.val[2], bias_s32.val[2]); - in_s32.val[3] = vaddq_s32(in_s32.val[3], bias_s32.val[3]); - - vst1q_s8(reinterpret_cast<int8_t *>(out.ptr() + x), - finalize_quantization(in_s32, _result_fixedpoint_multiplier, _result_shift, result_offset_after_shift_s32, min_s8, max_s8, is_bounded_relu)); - } - - // Compute left-over elements - for(; x < window_end_x; ++x) - { - const int32_t bias_value = *(reinterpret_cast<const int32_t *>(bias_i.ptr()) + x); - int32_t in_value = *(reinterpret_cast<const int32_t *>(in.ptr()) + x); - - // Add bias - in_value += bias_value; - // Finalize and store the result - *reinterpret_cast<int8_t *>(out.ptr() + x) = finalize_quantization(in_value, _result_fixedpoint_multiplier, _result_shift, _result_offset_after_shift, - static_cast<int8_t>(_min), static_cast<int8_t>(_max), is_bounded_relu); - } - }, - in, out, bias_i); - } - else - { - execute_window_loop(win_collapsed, [&](const Coordinates &) - { - // Compute 16 elements per iteration - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - int32x4x4_t in_s32 = - { - { - vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + x + 0), - vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + x + 4), - vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + x + 8), - vld1q_s32(reinterpret_cast<const int32_t *>(in.ptr()) + x + 12) - } - }; - - vst1q_s8(reinterpret_cast<int8_t *>(out.ptr() + x), - finalize_quantization(in_s32, _result_fixedpoint_multiplier, _result_shift, result_offset_after_shift_s32, min_s8, max_s8, is_bounded_relu)); - } - - // Compute left-over elements - for(; x < window_end_x; ++x) - { - const int32_t in_value = *(reinterpret_cast<const int32_t *>(in.ptr()) + x); - - // Finalize and store the result - *reinterpret_cast<int8_t *>(out.ptr() + x) = finalize_quantization(in_value, _result_fixedpoint_multiplier, _result_shift, _result_offset_after_shift, - static_cast<int8_t>(_min), static_cast<int8_t>(_max), is_bounded_relu); - } - }, - in, out); - } -} - -void CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::configure(ITensorInfo *src, ITensorInfo *bias, ITensorInfo *dst, int result_fixedpoint_multiplier, int result_shift, - int result_offset_after_shift, int min, int max) -{ - ARM_COMPUTE_UNUSED(bias); - // Perform validate step - ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, bias, dst, min, max)); - - _result_fixedpoint_multiplier = result_fixedpoint_multiplier; - _result_shift = result_shift; - _result_offset_after_shift = result_offset_after_shift; - _min = min; - _max = max; - - // Output auto initialization if not yet initialized - auto_init_if_empty(*dst, src->clone()->set_data_type(DataType::QASYMM8_SIGNED)); - - // Configure kernel window - Window win_config = calculate_max_window(*src, Steps()); - ICpuKernel::configure(win_config); - - // Check if we need to clamp the result using min and max - const bool is_bounded_relu = !(min <= -128 && max >= 127); - _func = is_bounded_relu ? &CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::run_internal<true> : - &CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::run_internal<false>; -} - -Status CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::validate(const ITensorInfo *src, const ITensorInfo *bias, const ITensorInfo *dst, int min, int max) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, bias, dst, min, max)); - return Status{}; -} - -void CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::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(ICpuKernel::window(), window); - ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided"); - - auto src = tensors.get_const_tensor(TensorType::ACL_SRC); - auto bias = tensors.get_const_tensor(TensorType::ACL_BIAS); - auto dst = tensors.get_tensor(TensorType::ACL_DST); - - (this->*_func)(src, bias, dst, window); -} - -const char *CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::name() const -{ - return "CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel"; -} -} // namespace kernels -} // namespace cpu -} // namespace arm_compute |