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Diffstat (limited to 'src/core/cpu/kernels/CpuDequantizeKernel.cpp')
| -rw-r--r-- | src/core/cpu/kernels/CpuDequantizeKernel.cpp | 400 |
1 files changed, 0 insertions, 400 deletions
diff --git a/src/core/cpu/kernels/CpuDequantizeKernel.cpp b/src/core/cpu/kernels/CpuDequantizeKernel.cpp deleted file mode 100644 index 42b5439697..0000000000 --- a/src/core/cpu/kernels/CpuDequantizeKernel.cpp +++ /dev/null @@ -1,400 +0,0 @@ -/* - * Copyright (c) 2017-2021 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/CpuDequantizeKernel.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" -#include "src/core/CPP/Validate.h" -#include "src/core/NEON/NEAsymm.h" -#include "src/core/NEON/NESymm.h" -#include "src/core/NEON/wrapper/wrapper.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 *dst) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM8_PER_CHANNEL, DataType::QSYMM8, DataType::QSYMM16); - - if(dst->tensor_shape().total_size() > 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(dst); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst); - } - - return Status{}; -} - -template <typename T> -inline void store_result(T *ptr, const float32x4x4_t &v) -{ - ARM_COMPUTE_UNUSED(ptr, v); -} - -template <> -inline void store_result<float>(float *ptr, const float32x4x4_t &v) -{ - wrapper::vstore(ptr, v.val[0]); - wrapper::vstore(ptr + 4, v.val[1]); - wrapper::vstore(ptr + 8, v.val[2]); - wrapper::vstore(ptr + 12, v.val[3]); -} - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -template <> -inline void store_result<float16_t>(float16_t *ptr, const float32x4x4_t &v) -{ - wrapper::vstore(ptr, vcombine_f16(vcvt_f16_f32(v.val[0]), vcvt_f16_f32(v.val[1]))); - wrapper::vstore(ptr + 8, vcombine_f16(vcvt_f16_f32(v.val[2]), vcvt_f16_f32(v.val[3]))); -} -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - -template <typename T> -inline void store_result(T *ptr, const float32x4x2_t &v) -{ - ARM_COMPUTE_UNUSED(ptr, v); -} - -template <> -inline void store_result<float>(float *ptr, const float32x4x2_t &v) -{ - wrapper::vstore(ptr, v.val[0]); - wrapper::vstore(ptr + 4, v.val[1]); -} - -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -template <> -inline void store_result<float16_t>(float16_t *ptr, const float32x4x2_t &v) -{ - wrapper::vstore(ptr, vcombine_f16(vcvt_f16_f32(v.val[0]), vcvt_f16_f32(v.val[1]))); -} -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - -template <typename TOut, typename TIn> -void run_dequantization_qasymm8(const ITensor *input, ITensor *output, const Window &window) -{ - const UniformQuantizationInfo &qinfo = input->info()->quantization_info().uniform(); - const float scale = qinfo.scale; - const int32_t offset = qinfo.offset; - - 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()); - - // Collapse window and reset first dimension to handle tail calculations manually - Window win_collapsed = window.collapse_if_possible(window, Window::DimZ); - win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1)); - - // Create iterators - Iterator in(input, win_collapsed); - Iterator out(output, win_collapsed); - - execute_window_loop(win_collapsed, [&](const Coordinates &) - { - const auto in_ptr = reinterpret_cast<const TIn *>(in.ptr()); - const auto out_ptr = reinterpret_cast<TOut *>(out.ptr()); - - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const auto vin = wrapper::vloadq(in_ptr + x); - const auto vdeq = vdequantize(vin, scale, offset); - - store_result(reinterpret_cast<TOut *>(out_ptr + x), vdeq); - } - - // Compute left-over elements - for(; x < window_end_x; ++x) - { - auto val = *(in_ptr + x); - *(out_ptr + x) = static_cast<TOut>(Qasymm8QuantizationHelper<TIn>::dequantize(val, qinfo)); - } - }, - in, out); -} - -template <typename T> -void run_dequantization_qsymm8_per_channel_nchw(const ITensor *input, ITensor *output, const Window &window) -{ - const auto scale = input->info()->quantization_info().scale(); - - 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()); - - // Reset first dimension to handle tail calculations manually - Window win(window); - win.set(Window::DimX, Window::Dimension(0, 1, 1)); - - // Create iterators - Iterator in(input, win); - Iterator out(output, win); - - execute_window_loop(win, [&](const Coordinates & id) - { - const auto in_ptr = reinterpret_cast<const int8_t *>(in.ptr()); - const auto out_ptr = reinterpret_cast<T *>(out.ptr()); - - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const auto vin = wrapper::vloadq(in_ptr + x); - const auto vdeq = vdequantize(vin, scale[id.z()]); - - store_result<T>(reinterpret_cast<T *>(out_ptr + x), vdeq); - } - - // Compute left-over elements - for(; x < window_end_x; ++x) - { - int8_t val = *(in_ptr + x); - *(out_ptr + x) = static_cast<T>(dequantize(val, scale[id.z()])); - } - }, - in, out); -} - -template <typename T> -void run_dequantization_qsymm8_per_channel_nhwc(const ITensor *input, ITensor *output, const Window &window) -{ - const auto scale = input->info()->quantization_info().scale(); - - 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()); - - // Reset first dimension to handle tail calculations manually - Window win(window); - win.set(Window::DimX, Window::Dimension(0, 1, 1)); - - // Create iterators - Iterator in(input, win); - Iterator out(output, win); - - execute_window_loop(win, [&](const Coordinates &) - { - const auto in_ptr = reinterpret_cast<const int8_t *>(in.ptr()); - const auto out_ptr = reinterpret_cast<T *>(out.ptr()); - - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const float32x4x4_t vscale = - { - { - scale[x + 0], scale[x + 1], scale[x + 2], scale[x + 3], - scale[x + 4], scale[x + 5], scale[x + 6], scale[x + 7], - scale[x + 8], scale[x + 9], scale[x + 10], scale[x + 11], - scale[x + 12], scale[x + 13], scale[x + 14], scale[x + 15] - } - }; - const auto vin = wrapper::vloadq(in_ptr + x); - const auto vdeq = vdequantize(vin, vscale); - - store_result<T>(reinterpret_cast<T *>(out_ptr + x), vdeq); - } - - // Compute left-over elements - for(; x < window_end_x; ++x) - { - int8_t val = *(in_ptr + x); - *(out_ptr + x) = static_cast<T>(dequantize(val, scale[x])); - } - }, - in, out); -} - -template <typename T> -void run_dequantization_qsymm8(const ITensor *input, ITensor *output, const Window &window) -{ - const UniformQuantizationInfo &qinfo = input->info()->quantization_info().uniform(); - const float scale = qinfo.scale; - - 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()); - - // Collapse window and reset first dimension to handle tail calculations manually - Window win_collapsed = window.collapse_if_possible(window, Window::DimZ); - win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1)); - - // Create iterators - Iterator in(input, win_collapsed); - Iterator out(output, win_collapsed); - - execute_window_loop(win_collapsed, [&](const Coordinates &) - { - const auto in_ptr = reinterpret_cast<const int8_t *>(in.ptr()); - const auto out_ptr = reinterpret_cast<T *>(out.ptr()); - - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const auto vin = wrapper::vloadq(in_ptr + x); - const auto vdeq = vdequantize(vin, scale); - - store_result<T>(reinterpret_cast<T *>(out_ptr + x), vdeq); - } - - // Compute left-over elements - for(; x < window_end_x; ++x) - { - int8_t val = *(in_ptr + x); - *(out_ptr + x) = static_cast<T>(dequantize(val, scale)); - } - }, - in, out); -} - -template <typename T> -void run_dequantization_qsymm16(const ITensor *input, ITensor *output, const Window &window) -{ - const UniformQuantizationInfo &qinfo = input->info()->quantization_info().uniform(); - const float scale = qinfo.scale; - - const int window_step_x = 8; - const auto window_start_x = static_cast<int>(window.x().start()); - const auto window_end_x = static_cast<int>(window.x().end()); - - // Collapse window and reset first dimension to handle tail calculations manually - Window win_collapsed = window.collapse_if_possible(window, Window::DimZ); - win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1)); - - // Create iterators - Iterator in(input, win_collapsed); - Iterator out(output, win_collapsed); - - execute_window_loop(win_collapsed, [&](const Coordinates &) - { - const auto in_ptr = reinterpret_cast<const int16_t *>(in.ptr()); - const auto out_ptr = reinterpret_cast<T *>(out.ptr()); - - int x = window_start_x; - for(; x <= (window_end_x - window_step_x); x += window_step_x) - { - const auto vin = wrapper::vloadq(in_ptr + x); - const auto vdeq = vdequantize_int16(vin, scale); - - store_result<T>(reinterpret_cast<T *>(out_ptr + x), vdeq); - } - - // Compute left-over elements - for(; x < window_end_x; ++x) - { - int16_t val = *(in_ptr + x); - *(out_ptr + x) = static_cast<T>(dequantize_qsymm16(val, scale)); - } - }, - in, out); -} - -template <typename T> -void run_dequantization_core(const ITensor *input, ITensor *output, const Window &window) -{ - switch(input->info()->data_type()) - { - case DataType::QASYMM8: - run_dequantization_qasymm8<T, uint8_t>(input, output, window); - break; - case DataType::QASYMM8_SIGNED: - run_dequantization_qasymm8<T, int8_t>(input, output, window); - break; - case DataType::QSYMM8_PER_CHANNEL: - input->info()->data_layout() == DataLayout::NHWC ? run_dequantization_qsymm8_per_channel_nhwc<T>(input, output, window) : run_dequantization_qsymm8_per_channel_nchw<T>(input, output, window); - break; - case DataType::QSYMM8: - run_dequantization_qsymm8<T>(input, output, window); - break; - case DataType::QSYMM16: - run_dequantization_qsymm16<T>(input, output, window); - break; - default: - ARM_COMPUTE_ERROR("Unsupported data type."); - } -} -} // namespace - -void CpuDequantizeKernel::configure(const ITensorInfo *src, ITensorInfo *dst) -{ - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst)); - - // Configure kernel window - Window win = calculate_max_window(*src, Steps()); - - // Output tensor auto initialization if not yet initialized - auto_init_if_empty(*dst, src->tensor_shape(), 1, DataType::F32); - - ICpuKernel::configure(win); -} - -Status CpuDequantizeKernel::validate(const ITensorInfo *src, const ITensorInfo *dst) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst)); - return Status{}; -} - -void CpuDequantizeKernel::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); - - const auto src = tensors.get_const_tensor(TensorType::ACL_SRC); - auto dst = tensors.get_tensor(TensorType::ACL_DST); - - switch(dst->info()->data_type()) - { - case DataType::F32: - run_dequantization_core<float>(src, dst, window); - break; -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC - case DataType::F16: - run_dequantization_core<float16_t>(src, dst, window); - break; -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ - default: - ARM_COMPUTE_ERROR("Unsupported data type."); - } -} -const char *CpuDequantizeKernel::name() const -{ - return "CpuDequantizeKernel"; -} -} // namespace kernels -} // namespace cpu -} // namespace arm_compute |