diff options
Diffstat (limited to 'src/cpu/kernels/CpuConvertQuantizedSignednessKernel.cpp')
| -rw-r--r-- | src/cpu/kernels/CpuConvertQuantizedSignednessKernel.cpp | 145 |
1 files changed, 145 insertions, 0 deletions
diff --git a/src/cpu/kernels/CpuConvertQuantizedSignednessKernel.cpp b/src/cpu/kernels/CpuConvertQuantizedSignednessKernel.cpp new file mode 100644 index 0000000000..745b1566c2 --- /dev/null +++ b/src/cpu/kernels/CpuConvertQuantizedSignednessKernel.cpp @@ -0,0 +1,145 @@ +/* + * 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/cpu/kernels/CpuConvertQuantizedSignednessKernel.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/Validate.h" +#include "arm_compute/core/Window.h" + +#include "src/core/helpers/AutoConfiguration.h" +#include "src/core/helpers/WindowHelpers.h" +#include "src/core/NEON/wrapper/wrapper.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); + + // Validate output if initialized + if (dst->total_size() != 0) + { + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(src->tensor_shape(), dst->tensor_shape()); + } + + return Status{}; +} + +std::pair<Status, Window> validate_and_configure_window(const ITensorInfo *src, ITensorInfo *dst) +{ + // Output auto inizialitation if not yet initialized + { + const bool is_input_signed = src->data_type() == DataType::QASYMM8_SIGNED; + const DataType dt = is_input_signed ? DataType::QASYMM8 : DataType::QASYMM8_SIGNED; + const UniformQuantizationInfo qinfo = src->quantization_info().uniform(); + const int offset_correction = is_input_signed ? -128 : 128; + const QuantizationInfo corrected_qinfo = QuantizationInfo(qinfo.scale, qinfo.offset + offset_correction); + + auto_init_if_empty(*dst, src->clone()->set_data_type(dt).set_quantization_info(corrected_qinfo)); + } + + return std::make_pair(Status{}, calculate_max_window(*dst)); +} +} // namespace + +void CpuConvertQuantizedSignednessKernel::configure(const ITensorInfo *src, ITensorInfo *dst) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst)); + + std::pair<Status, Window> win_config = validate_and_configure_window(src, dst); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + ICpuKernel::configure(win_config.second); +} + +Status CpuConvertQuantizedSignednessKernel::validate(const ITensorInfo *src, const ITensorInfo *dst) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst)); + return Status{}; +} + +void CpuConvertQuantizedSignednessKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) +{ + auto src = tensors.get_const_tensor(TensorType::ACL_SRC); + auto dst = tensors.get_tensor(TensorType::ACL_DST); + ARM_COMPUTE_UNUSED(info); + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window); + + Window win_collapsed = window.collapse_if_possible(window, Window::DimZ); + win_collapsed.set(Window::DimX, Window::Dimension(0, 1, 1)); + + Iterator input(src, win_collapsed); + Iterator output(dst, win_collapsed); + + 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()); + + const uint8_t mask = 128; + const auto vmask = wrapper::vdup_n(mask, wrapper::traits::vector_128_tag{}); + + execute_window_loop( + win_collapsed, + [&](const Coordinates &) + { + const auto input_ptr = reinterpret_cast<const uint8_t *>(input.ptr()); + const auto output_ptr = reinterpret_cast<uint8_t *>(output.ptr()); + + // Compute S elements per iteration + int x = window_start_x; + for (; x <= (window_end_x - window_step_x); x += window_step_x) + { + const auto vin = wrapper::vloadq(input_ptr + x); + wrapper::vstore(output_ptr + x, wrapper::veor(vin, vmask)); + } + + // Compute left-over elements + for (; x < window_end_x; ++x) + { + const uint8_t in = *(reinterpret_cast<const uint8_t *>(input_ptr + x)); + *(output_ptr + x) = in ^ mask; + } + }, + input, output); +} + +const char *CpuConvertQuantizedSignednessKernel::name() const +{ + return "CpuConvertQuantizedSignednessKernel"; +} +} // namespace kernels +} // namespace cpu +} // namespace arm_compute |