1 files changed, 169 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLMinMaxLocationKernel.cpp b/src/core/CL/kernels/CLMinMaxLocationKernel.cpp
new file mode 100644
index 0000000000..939a53b03a
--- /dev/null
+++ b/src/core/CL/kernels/CLMinMaxLocationKernel.cpp
@@ -0,0 +1,169 @@
+/*
+ * Copyright (c) 2017 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 <climits>
+
+using namespace arm_compute;
+
+CLMinMaxKernel::CLMinMaxKernel()
+    : _input(nullptr), _min_max(), _data_type_max_min()
+{
+}
+
+void CLMinMaxKernel::configure(const ICLImage *input, cl::Buffer *min_max)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16);
+    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;
+        default:
+            ARM_COMPUTE_ERROR("You called with the wrong image data types");
+    }
+
+    // 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("-DDATA_TYPE_MAX=" + val_to_string<int>(_data_type_max_min[0]));
+    build_opts.emplace("-DDATA_TYPE_MIN=" + val_to_string<int>(_data_type_max_min[1]));
+    build_opts.emplace((0 != (num_elems_processed_per_iteration % max_cl_vector_width)) ? "-DNON_MULTIPLE_OF_16" : "");
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("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_uint>(idx++, 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, num_elems_processed_per_iteration));
+    ICLKernel::configure(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);
+    }
+    while(window.slide_window_slice_2D(slice));
+}
+
+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)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16);
+    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" : "");
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("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(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);
+    }
+    while(window.slide_window_slice_2D(slice));
+}