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Diffstat (limited to 'src/core/CL/kernels/CLMinMaxLocationKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLMinMaxLocationKernel.cpp245
1 files changed, 0 insertions, 245 deletions
diff --git a/src/core/CL/kernels/CLMinMaxLocationKernel.cpp b/src/core/CL/kernels/CLMinMaxLocationKernel.cpp
deleted file mode 100644
index dfa0555331..0000000000
--- a/src/core/CL/kernels/CLMinMaxLocationKernel.cpp
+++ /dev/null
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-/*
- * Copyright (c) 2017-2020 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 "arm_compute/core/CL/kernels/CLMinMaxLocationKernel.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/CL/ICLTensor.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/Window.h"
-#include "support/StringSupport.h"
-
-#include <climits>
-
-namespace arm_compute
-{
-inline int32_t FloatFlip(float val)
-{
- static_assert(sizeof(float) == sizeof(int32_t), "Float must be same size as int32_t");
- int32_t int_val = 0;
-
- memcpy(&int_val, &val, sizeof(float));
- int_val = (int_val >= 0) ? int_val : int_val ^ 0x7FFFFFFF;
- return int_val;
-}
-
-inline float IFloatFlip(int32_t val)
-{
- static_assert(sizeof(float) == sizeof(int32_t), "Float must be same size as int32_t");
- float flt_val = 0.f;
-
- val = (val >= 0) ? val : val ^ 0x7FFFFFFF;
- memcpy(&flt_val, &val, sizeof(float));
- return flt_val;
-}
-
-CLMinMaxKernel::CLMinMaxKernel()
- : _input(nullptr), _min_max(), _data_type_max_min()
-{
-}
-
-void CLMinMaxKernel::configure(const ICLImage *input, cl::Buffer *min_max)
-{
- configure(CLKernelLibrary::get().get_compile_context(), input, min_max);
-}
-
-void CLMinMaxKernel::configure(const CLCompileContext &compile_context, const ICLImage *input, cl::Buffer *min_max)
-{
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16, DataType::F32);
- ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input);
- ARM_COMPUTE_ERROR_ON(min_max == nullptr);
-
- _input = input;
- _min_max = min_max;
- const unsigned int num_elems_processed_per_iteration = input->info()->dimension(0);
-
- switch(input->info()->data_type())
- {
- case DataType::U8:
- _data_type_max_min[0] = UCHAR_MAX;
- _data_type_max_min[1] = 0;
- break;
- case DataType::S16:
- _data_type_max_min[0] = SHRT_MAX;
- _data_type_max_min[1] = SHRT_MIN;
- break;
- case DataType::F32:
- _data_type_max_min[0] = FloatFlip(std::numeric_limits<float>::max());
- _data_type_max_min[1] = FloatFlip(std::numeric_limits<float>::lowest());
- break;
- default:
- ARM_COMPUTE_ERROR("You called with the wrong image data types");
- }
-
- // Set kernel build options
- std::set<std::string> build_opts{ "-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()) };
-
- if(num_elems_processed_per_iteration % max_cl_vector_width != 0)
- {
- build_opts.emplace("-DNON_MULTIPLE_OF_16");
- }
-
- if(input->info()->data_type() == DataType::F32)
- {
- build_opts.emplace("-DDATA_TYPE_MAX=" + support::cpp11::to_string(std::numeric_limits<float>::max()));
- build_opts.emplace("-DDATA_TYPE_MIN=" + support::cpp11::to_string(std::numeric_limits<float>::lowest()));
- build_opts.emplace("-DIS_DATA_TYPE_FLOAT");
- }
- else
- {
- build_opts.emplace("-DDATA_TYPE_MAX=" + support::cpp11::to_string(_data_type_max_min[0]));
- build_opts.emplace("-DDATA_TYPE_MIN=" + support::cpp11::to_string(_data_type_max_min[1]));
- }
-
- // Create kernel
- _kernel = create_kernel(compile_context, "minmax", build_opts);
-
- // Set fixed arguments
- unsigned int idx = num_arguments_per_2D_tensor(); //Skip the input and output parameters
- _kernel.setArg(idx++, *_min_max);
- _kernel.setArg<cl_int>(idx++, static_cast<cl_int>(input->info()->dimension(0)));
-
- // Configure kernel window
- Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
- update_window_and_padding(win, AccessWindowHorizontal(input->info(), 0, ceil_to_multiple(num_elems_processed_per_iteration, 16)));
- ICLKernel::configure_internal(win);
-}
-
-void CLMinMaxKernel::run(const Window &window, cl::CommandQueue &queue)
-{
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
-
- // Reset mininum and maximum values
- queue.enqueueWriteBuffer(*_min_max, CL_FALSE /* blocking */, 0, _data_type_max_min.size() * sizeof(int), _data_type_max_min.data());
-
- Window slice = window.first_slice_window_2D();
- do
- {
- unsigned int idx = 0;
- add_2D_tensor_argument(idx, _input, slice);
- enqueue(queue, *this, slice, lws_hint());
- }
- while(window.slide_window_slice_2D(slice));
-
- cl_int min = 0;
- cl_int max = 0;
- queue.enqueueReadBuffer(*_min_max, CL_TRUE /* blocking */, 0 * sizeof(cl_int), sizeof(cl_int), static_cast<int *>(&min));
- queue.enqueueReadBuffer(*_min_max, CL_TRUE /* blocking */, 1 * sizeof(cl_int), sizeof(cl_int), static_cast<int *>(&max));
-
- if(_input->info()->data_type() == DataType::F32)
- {
- std::array<float, 2> min_max =
- {
- {
- IFloatFlip(min),
- IFloatFlip(max)
- }
- };
- queue.enqueueWriteBuffer(*_min_max, CL_TRUE /* blocking */, 0, min_max.size() * sizeof(float), min_max.data());
- }
- else
- {
- std::array<int32_t, 2> min_max = { { min, max } };
- queue.enqueueWriteBuffer(*_min_max, CL_TRUE /* blocking */, 0, min_max.size() * sizeof(int32_t), min_max.data());
- }
-}
-
-CLMinMaxLocationKernel::CLMinMaxLocationKernel()
- : _input(nullptr), _min_max_count(nullptr)
-{
-}
-
-void CLMinMaxLocationKernel::configure(const ICLImage *input, cl::Buffer *min_max, cl::Buffer *min_max_count, ICLCoordinates2DArray *min_loc, ICLCoordinates2DArray *max_loc)
-{
- configure(CLKernelLibrary::get().get_compile_context(), input, min_max, min_max_count, min_loc, max_loc);
-}
-
-void CLMinMaxLocationKernel::configure(const CLCompileContext &compile_context, const ICLImage *input, cl::Buffer *min_max, cl::Buffer *min_max_count, ICLCoordinates2DArray *min_loc,
- ICLCoordinates2DArray *max_loc)
-{
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16, DataType::F32);
- ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input);
- ARM_COMPUTE_ERROR_ON(min_max == nullptr);
- ARM_COMPUTE_ERROR_ON(min_max_count == nullptr && min_loc == nullptr && max_loc == nullptr);
-
- _input = input;
- _min_max_count = min_max_count;
-
- // Set kernel build options
- std::set<std::string> build_opts;
- build_opts.emplace("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
- build_opts.emplace((min_max_count != nullptr) ? "-DCOUNT_MIN_MAX" : "");
- build_opts.emplace((min_loc != nullptr) ? "-DLOCATE_MIN" : "");
- build_opts.emplace((max_loc != nullptr) ? "-DLOCATE_MAX" : "");
- if(input->info()->data_type() == DataType::F32)
- {
- build_opts.emplace("-DIS_DATA_TYPE_FLOAT");
- }
-
- // Create kernel
- _kernel = create_kernel(compile_context, "minmaxloc", build_opts);
-
- // Set static arguments
- unsigned int idx = num_arguments_per_2D_tensor(); //Skip the input and output parameters
- _kernel.setArg(idx++, *min_max);
- _kernel.setArg(idx++, *min_max_count);
- if(min_loc != nullptr)
- {
- _kernel.setArg(idx++, min_loc->cl_buffer());
- _kernel.setArg<cl_uint>(idx++, min_loc->max_num_values());
- }
- if(max_loc != nullptr)
- {
- _kernel.setArg(idx++, max_loc->cl_buffer());
- _kernel.setArg<cl_uint>(idx++, max_loc->max_num_values());
- }
-
- // Configure kernel window
- constexpr unsigned int num_elems_processed_per_iteration = 1;
- Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
- update_window_and_padding(win, AccessWindowHorizontal(input->info(), 0, num_elems_processed_per_iteration));
- ICLKernel::configure_internal(win);
-}
-
-void CLMinMaxLocationKernel::run(const Window &window, cl::CommandQueue &queue)
-{
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
-
- static const unsigned int zero_count = 0;
- queue.enqueueWriteBuffer(*_min_max_count, CL_FALSE, 0 * sizeof(zero_count), sizeof(zero_count), &zero_count);
- queue.enqueueWriteBuffer(*_min_max_count, CL_FALSE, 1 * sizeof(zero_count), sizeof(zero_count), &zero_count);
-
- Window slice = window.first_slice_window_2D();
- do
- {
- unsigned int idx = 0;
- add_2D_tensor_argument(idx, _input, slice);
- enqueue(queue, *this, slice, lws_hint());
- }
- while(window.slide_window_slice_2D(slice));
-}
-} // namespace arm_compute