src/core/NEON/kernels/NEThresholdKernel.cpp - ml/ComputeLibrary - Gitiles

 /*
  * Copyright (c) 2016-2020 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/NEON/kernels/NEThresholdKernel.h"

 #include "arm_compute/core/Error.h"
 #include "arm_compute/core/Helpers.h"
 #include "arm_compute/core/ITensor.h"
 #include "arm_compute/core/Validate.h"
 #include "src/core/helpers/AutoConfiguration.h"
 #include "src/core/helpers/WindowHelpers.h"

 #include "src/core/NEON/wrapper/wrapper.h"

 namespace arm_compute
 {
 namespace
 {
 Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ThresholdKernelInfo &info)
 {
     ARM_COMPUTE_UNUSED(info);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);

     // Checks performed when output is configured
     if((output != nullptr) && (output->total_size() != 0))
     {
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
     }

     return Status{};
 }

 std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
 {
     // Configure kernel window
     Window win = calculate_max_window(*input, Steps());

     // Output auto inizialitation if not yet initialized
     auto_init_if_empty(*output, *input->clone());

     // NEThresholdKernel doesn't need padding so update_window_and_padding() can be skipped
     Coordinates coord;
     coord.set_num_dimensions(output->num_dimensions());
     output->set_valid_region(ValidRegion(coord, output->tensor_shape()));

     return std::make_pair(Status{}, win);
 }
 } // namespace

 NEThresholdKernel::NEThresholdKernel()
     : _func(nullptr), _input(nullptr), _output(nullptr), _info()
 {
 }

 void NEThresholdKernel::configure(const ITensor *input, ITensor *output, const ThresholdKernelInfo &info)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_ERROR_THROW_ON(validate(input->info(), output->info(), info));

     _input  = input;
     _output = output;
     _info   = info;

     switch(_info.type)
     {
         case ThresholdType::BINARY:
             _func = &NEThresholdKernel::run_binary;
             break;
         case ThresholdType::RANGE:
             _func = &NEThresholdKernel::run_range;
             break;
         default:
             ARM_COMPUTE_ERROR("Thresholding type not recognized");
             break;
     }

     // Configure kernel window
     auto win_config = validate_and_configure_window(input->info(), output->info());
     ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
     ICPPKernel::configure(win_config.second);
 }

 Status NEThresholdKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ThresholdKernelInfo &info)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, info));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);

     return Status{};
 }

 inline void NEThresholdKernel::run_binary(const Window &window)
 {
     /** NEON vector tag type. */
     using Type         = uint8_t;
     using ExactTagType = typename wrapper::traits::neon_bitvector_tag_t<Type, wrapper::traits::BitWidth::W128>;

     const int  window_step_x  = 16 / sizeof(Type);
     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));

     const uint8_t threshold   = _info.threshold;
     const uint8_t true_value  = _info.true_value;
     const uint8_t false_value = _info.false_value;

     const auto vthreshold   = wrapper::vdup_n(threshold, ExactTagType{});
     const auto vtrue_value  = wrapper::vdup_n(true_value, ExactTagType{});
     const auto vfalse_value = wrapper::vdup_n(false_value, ExactTagType{});

     Iterator input(_input, win_collapsed);
     Iterator output(_output, win_collapsed);

     execute_window_loop(win_collapsed, [&](const Coordinates &)
     {
         const auto input_ptr  = reinterpret_cast<const Type *>(input.ptr());
         const auto output_ptr = reinterpret_cast<Type *>(output.ptr());

         int x = window_start_x;
         for(; x <= (window_end_x - window_step_x); x += window_step_x)
         {
             const auto vdata = wrapper::vloadq(input_ptr + x);
             const auto vmask = wrapper::vcgt(vdata, vthreshold);
             wrapper::vstore(output_ptr + x, wrapper::vbsl(vmask, vtrue_value, vfalse_value));
         }

         for(; x < window_end_x; ++x)
         {
             const Type data   = *(reinterpret_cast<const Type *>(input_ptr + x));
             *(output_ptr + x) = (data > threshold) ? true_value : false_value;
         }
     },
     input, output);
 }

 inline void NEThresholdKernel::run_range(const Window &window)
 {
     /** NEON vector tag type. */
     using Type         = uint8_t;
     using ExactTagType = typename wrapper::traits::neon_bitvector_tag_t<Type, wrapper::traits::BitWidth::W128>;

     const int  window_step_x  = 16 / sizeof(Type);
     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));

     const uint8_t lower_threshold = _info.threshold;
     const uint8_t upper_threshold = _info.upper;
     const uint8_t true_value      = _info.true_value;
     const uint8_t false_value     = _info.false_value;

     const auto vlower_threshold = wrapper::vdup_n(lower_threshold, ExactTagType{});
     const auto vupper_threshold = wrapper::vdup_n(upper_threshold, ExactTagType{});
     const auto vtrue_value      = wrapper::vdup_n(true_value, ExactTagType{});
     const auto vfalse_value     = wrapper::vdup_n(false_value, ExactTagType{});

     Iterator input(_input, win_collapsed);
     Iterator output(_output, win_collapsed);

     execute_window_loop(win_collapsed, [&](const Coordinates &)
     {
         const auto input_ptr  = reinterpret_cast<const Type *>(input.ptr());
         const auto output_ptr = reinterpret_cast<Type *>(output.ptr());

         int x = window_start_x;
         for(; x <= (window_end_x - window_step_x); x += window_step_x)
         {
             const auto vdata = wrapper::vloadq(input_ptr + x);
             auto       vmask = wrapper::vcle(vdata, vupper_threshold);
             vmask            = wrapper::vand(wrapper::vcge(vdata, vlower_threshold), vmask);
             wrapper::vstore(output_ptr + x, wrapper::vbsl(vmask, vtrue_value, vfalse_value));
         }

         for(; x < window_end_x; ++x)
         {
             const Type data   = *(reinterpret_cast<const Type *>(input_ptr + x));
             *(output_ptr + x) = (data <= upper_threshold && data >= lower_threshold) ? true_value : false_value;
         }
     },
     input, output);
 }

 void NEThresholdKernel::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->*_func)(window);
 }
 } // namespace arm_compute
	/*
	* Copyright (c) 2016-2020 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/NEON/kernels/NEThresholdKernel.h"

	#include "arm_compute/core/Error.h"
	#include "arm_compute/core/Helpers.h"
	#include "arm_compute/core/ITensor.h"
	#include "arm_compute/core/Validate.h"
	#include "src/core/helpers/AutoConfiguration.h"
	#include "src/core/helpers/WindowHelpers.h"

	#include "src/core/NEON/wrapper/wrapper.h"

	namespace arm_compute
	{
	namespace
	{
	Status validate_arguments(const ITensorInfo input, const ITensorInfo output, const ThresholdKernelInfo &info)
	{
	ARM_COMPUTE_UNUSED(info);
	ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
	ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);

	// Checks performed when output is configured
	if((output != nullptr) && (output->total_size() != 0))
	{
	ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
	ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
	}

	return Status{};
	}

	std::pair<Status, Window> validate_and_configure_window(ITensorInfo input, ITensorInfo output)
	{
	// Configure kernel window
	Window win = calculate_max_window(*input, Steps());

	// Output auto inizialitation if not yet initialized
	auto_init_if_empty(output, input->clone());

	// NEThresholdKernel doesn't need padding so update_window_and_padding() can be skipped
	Coordinates coord;
	coord.set_num_dimensions(output->num_dimensions());
	output->set_valid_region(ValidRegion(coord, output->tensor_shape()));

	return std::make_pair(Status{}, win);
	}
	} // namespace

	NEThresholdKernel::NEThresholdKernel()
	: _func(nullptr), _input(nullptr), _output(nullptr), _info()
	{
	}

	void NEThresholdKernel::configure(const ITensor input, ITensor output, const ThresholdKernelInfo &info)
	{
	ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
	ARM_COMPUTE_ERROR_THROW_ON(validate(input->info(), output->info(), info));

	_input = input;
	_output = output;
	_info = info;

	switch(_info.type)
	{
	case ThresholdType::BINARY:
	_func = &NEThresholdKernel::run_binary;
	break;
	case ThresholdType::RANGE:
	_func = &NEThresholdKernel::run_range;
	break;
	default:
	ARM_COMPUTE_ERROR("Thresholding type not recognized");
	break;
	}

	// Configure kernel window
	auto win_config = validate_and_configure_window(input->info(), output->info());
	ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
	ICPPKernel::configure(win_config.second);
	}

	Status NEThresholdKernel::validate(const ITensorInfo input, const ITensorInfo output, const ThresholdKernelInfo &info)
	{
	ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, info));
	ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);

	return Status{};
	}

	inline void NEThresholdKernel::run_binary(const Window &window)
	{
	/** NEON vector tag type. */
	using Type = uint8_t;
	using ExactTagType = typename wrapper::traits::neon_bitvector_tag_t<Type, wrapper::traits::BitWidth::W128>;

	const int window_step_x = 16 / sizeof(Type);
	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));

	const uint8_t threshold = _info.threshold;
	const uint8_t true_value = _info.true_value;
	const uint8_t false_value = _info.false_value;

	const auto vthreshold = wrapper::vdup_n(threshold, ExactTagType{});
	const auto vtrue_value = wrapper::vdup_n(true_value, ExactTagType{});
	const auto vfalse_value = wrapper::vdup_n(false_value, ExactTagType{});

	Iterator input(_input, win_collapsed);
	Iterator output(_output, win_collapsed);

	execute_window_loop(win_collapsed, [&](const Coordinates &)
	{
	const auto input_ptr = reinterpret_cast<const Type *>(input.ptr());
	const auto output_ptr = reinterpret_cast<Type *>(output.ptr());

	int x = window_start_x;
	for(; x <= (window_end_x - window_step_x); x += window_step_x)
	{
	const auto vdata = wrapper::vloadq(input_ptr + x);
	const auto vmask = wrapper::vcgt(vdata, vthreshold);
	wrapper::vstore(output_ptr + x, wrapper::vbsl(vmask, vtrue_value, vfalse_value));
	}

	for(; x < window_end_x; ++x)
	{
	const Type data = (reinterpret_cast<const Type >(input_ptr + x));
	*(output_ptr + x) = (data > threshold) ? true_value : false_value;
	}
	},
	input, output);
	}

	inline void NEThresholdKernel::run_range(const Window &window)
	{
	/** NEON vector tag type. */
	using Type = uint8_t;
	using ExactTagType = typename wrapper::traits::neon_bitvector_tag_t<Type, wrapper::traits::BitWidth::W128>;

	const int window_step_x = 16 / sizeof(Type);
	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));

	const uint8_t lower_threshold = _info.threshold;
	const uint8_t upper_threshold = _info.upper;
	const uint8_t true_value = _info.true_value;
	const uint8_t false_value = _info.false_value;

	const auto vlower_threshold = wrapper::vdup_n(lower_threshold, ExactTagType{});
	const auto vupper_threshold = wrapper::vdup_n(upper_threshold, ExactTagType{});
	const auto vtrue_value = wrapper::vdup_n(true_value, ExactTagType{});
	const auto vfalse_value = wrapper::vdup_n(false_value, ExactTagType{});

	Iterator input(_input, win_collapsed);
	Iterator output(_output, win_collapsed);

	execute_window_loop(win_collapsed, [&](const Coordinates &)
	{
	const auto input_ptr = reinterpret_cast<const Type *>(input.ptr());
	const auto output_ptr = reinterpret_cast<Type *>(output.ptr());

	int x = window_start_x;
	for(; x <= (window_end_x - window_step_x); x += window_step_x)
	{
	const auto vdata = wrapper::vloadq(input_ptr + x);
	auto vmask = wrapper::vcle(vdata, vupper_threshold);
	vmask = wrapper::vand(wrapper::vcge(vdata, vlower_threshold), vmask);
	wrapper::vstore(output_ptr + x, wrapper::vbsl(vmask, vtrue_value, vfalse_value));
	}

	for(; x < window_end_x; ++x)
	{
	const Type data = (reinterpret_cast<const Type >(input_ptr + x));
	*(output_ptr + x) = (data <= upper_threshold && data >= lower_threshold) ? true_value : false_value;
	}
	},
	input, output);
	}

	void NEThresholdKernel::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->*_func)(window);
	}
	} // namespace arm_compute