COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae

1 files changed, 154 insertions, 0 deletions

diff --git a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
new file mode 100644
index 0000000000..84eb434bc9
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+++ b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
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+/*
+ * Copyright (c) 2016, 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/CLPixelWiseMultiplicationKernel.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/CL/OpenCL.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+#include <cmath>
+#include <cstdlib>
+#include <set>
+#include <string>
+
+using namespace arm_compute;
+
+CLPixelWiseMultiplicationKernel::CLPixelWiseMultiplicationKernel()
+    : _input1(nullptr), _input2(nullptr), _output(nullptr)
+{
+}
+
+void CLPixelWiseMultiplicationKernel::configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float scale,
+                                                ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::S16, DataType::F16, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::S16, DataType::F16, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16, DataType::F16, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_MSG(output->info()->data_type() == DataType::U8 && (input1->info()->data_type() != DataType::U8 || input2->info()->data_type() != DataType::U8),
+                             "Output can only be U8 if both inputs are U8");
+    ARM_COMPUTE_ERROR_ON_MSG(scale < 0, "Scale cannot be negative. ");
+
+    _input1 = input1;
+    _input2 = input2;
+    _output = output;
+
+    int scale_int = -1;
+    // Extract sign, exponent and mantissa
+    int   exponent            = 0;
+    float normalized_mantissa = std::frexp(scale, &exponent);
+    // Use int scaling if factor is equal to 1/2^n for 0 <= n <= 15
+    // frexp returns 0.5 as mantissa which means that the exponent will be in the range of -1 <= e <= 14
+    // Moreover, it will be negative as we deal with 1/2^n
+    if((normalized_mantissa == 0.5f) && (-14 <= exponent) && (exponent <= 1))
+    {
+        // Store the positive exponent. We know that we compute 1/2^n
+        // Additionally we need to subtract 1 to compensate that frexp used a mantissa of 0.5
+        scale_int = std::abs(exponent - 1);
+    }
+
+    std::string data_type;
+    std::string compute_type;
+    // Check if it has float inputs and output
+    if(is_data_type_float(input1->info()->data_type()) || is_data_type_float(input2->info()->data_type()))
+    {
+        scale_int    = -1;
+        compute_type = (DataType::F32 == input1->info()->data_type() || DataType::F32 == input2->info()->data_type()) ? "float" : "half";
+        data_type    = "DATA_TYPE_FLOAT";
+    }
+    else
+    {
+        compute_type = (DataType::S16 == input1->info()->data_type() || DataType::S16 == input2->info()->data_type()) ? "int" : "ushort";
+        data_type    = "DATA_TYPE_INT";
+    }
+
+    // Construct kernel name
+    std::string kernel_name = "pixelwise_mul";
+    kernel_name += (scale_int >= 0) ? "_int" : "_float";
+
+    // Set kernel build options
+    std::set<std::string> build_opts;
+    build_opts.emplace((overflow_policy == ConvertPolicy::WRAP || is_data_type_float(output->info()->data_type())) ? "-DWRAP" : "-DSATURATE");
+    build_opts.emplace((rounding_policy == RoundingPolicy::TO_ZERO) ? "-DROUND=_rtz" : "-DROUND=_rte");
+    build_opts.emplace("-DDATA_TYPE_IN1=" + get_cl_type_from_data_type(input1->info()->data_type()));
+    build_opts.emplace("-DDATA_TYPE_IN2=" + get_cl_type_from_data_type(input2->info()->data_type()));
+    build_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
+    build_opts.emplace("-DDATA_TYPE_RES=" + compute_type);
+    build_opts.emplace("-D" + data_type);
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts));
+
+    // Set scale argument
+    unsigned int idx = 3 * num_arguments_per_2D_tensor(); //Skip the inputs and output parameters
+
+    if(scale_int >= 0)
+    {
+        _kernel.setArg(idx++, scale_int);
+    }
+    else
+    {
+        _kernel.setArg(idx++, scale);
+    }
+
+    // Configure kernel window
+    constexpr unsigned int num_elems_processed_per_iteration = 16;
+
+    Window win = calculate_max_window(*input1->info(), Steps(num_elems_processed_per_iteration));
+
+    AccessWindowHorizontal input1_access(input1->info(), 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal input2_access(input2->info(), 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
+
+    update_window_and_padding(win, input1_access, input2_access, output_access);
+
+    ValidRegion valid_region = intersect_valid_regions(input1->info()->valid_region(),
+                                                       input2->info()->valid_region());
+    output_access.set_valid_region(win, valid_region);
+
+    ICLKernel::configure(win);
+}
+
+void CLPixelWiseMultiplicationKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+    Window slice = window.first_slice_window_2D();
+
+    do
+    {
+        unsigned int idx = 0;
+        add_2D_tensor_argument(idx, _input1, slice);
+        add_2D_tensor_argument(idx, _input2, slice);
+        add_2D_tensor_argument(idx, _output, slice);
+        enqueue(queue, *this, slice);
+    }
+    while(window.slide_window_slice_2D(slice));
+}