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-rw-r--r--src/core/CL/kernels/CLMeanStdDevKernel.cpp158
1 files changed, 0 insertions, 158 deletions
diff --git a/src/core/CL/kernels/CLMeanStdDevKernel.cpp b/src/core/CL/kernels/CLMeanStdDevKernel.cpp
deleted file mode 100644
index de8b57ef17..0000000000
--- a/src/core/CL/kernels/CLMeanStdDevKernel.cpp
+++ /dev/null
@@ -1,158 +0,0 @@
-/*
- * 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 "arm_compute/core/CL/kernels/CLMeanStdDevKernel.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/CL/CLValidate.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/Types.h"
-#include "arm_compute/core/Window.h"
-
-#include <cmath>
-#include <set>
-#include <string>
-
-using namespace arm_compute;
-
-CLMeanStdDevKernel::CLMeanStdDevKernel()
- : _input(nullptr), _mean(nullptr), _stddev(nullptr), _global_sum(nullptr), _global_sum_squared(nullptr), _border_size(0)
-{
-}
-
-BorderSize CLMeanStdDevKernel::border_size() const
-{
- return _border_size;
-}
-
-Status CLMeanStdDevKernel::validate(const ITensorInfo *input, float *mean, cl::Buffer *global_sum, float *stddev, cl::Buffer *global_sum_squared)
-{
- ARM_COMPUTE_UNUSED(mean);
- ARM_COMPUTE_UNUSED(stddev);
- ARM_COMPUTE_UNUSED(global_sum);
- ARM_COMPUTE_UNUSED(global_sum_squared);
- ARM_COMPUTE_RETURN_ERROR_ON_INT64_BASE_ATOMICS_UNSUPPORTED();
- ARM_COMPUTE_RETURN_ERROR_ON_TENSOR_NOT_2D(input);
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
-
- return Status{};
-}
-
-void CLMeanStdDevKernel::configure(const ICLImage *input, float *mean, cl::Buffer *global_sum, float *stddev, cl::Buffer *global_sum_squared)
-{
- configure(CLKernelLibrary::get().get_compile_context(), input, mean, global_sum, stddev, global_sum_squared);
-}
-
-void CLMeanStdDevKernel::configure(const CLCompileContext &compile_context, const ICLImage *input, float *mean, cl::Buffer *global_sum, float *stddev, cl::Buffer *global_sum_squared)
-{
- ARM_COMPUTE_ERROR_ON_NULLPTR(input, mean, global_sum);
- ARM_COMPUTE_ERROR_ON(stddev && nullptr == global_sum_squared);
- ARM_COMPUTE_ERROR_THROW_ON(CLMeanStdDevKernel::validate(input->info(), mean, global_sum, stddev, global_sum_squared));
-
- _input = input;
- _mean = mean;
- _stddev = stddev;
- _global_sum = global_sum;
- _global_sum_squared = global_sum_squared;
-
- // Create kernel
- std::set<std::string> build_opts;
-
- if(_stddev != nullptr)
- {
- build_opts.insert("-DSTDDEV");
- }
-
- _kernel = create_kernel(compile_context, "mean_stddev_accumulate", build_opts);
-
- // Set fixed arguments
- unsigned int idx = num_arguments_per_2D_tensor(); //Skip the input parameters
-
- _kernel.setArg(idx++, static_cast<cl_uint>(input->info()->dimension(1)));
- _kernel.setArg(idx++, *_global_sum);
-
- if(_stddev != nullptr)
- {
- _kernel.setArg(idx++, *_global_sum_squared);
- }
-
- // Configure kernel window
- constexpr unsigned int num_elems_processed_per_iteration_x = 8;
- const unsigned int num_elems_processed_per_iteration_y = input->info()->dimension(1);
-
- _border_size = BorderSize(ceil_to_multiple(input->info()->dimension(0), num_elems_processed_per_iteration_x) - input->info()->dimension(0));
-
- Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
- AccessWindowRectangle input_access(input->info(), 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y);
- update_window_and_padding(win, input_access);
-
- ICLKernel::configure_internal(win);
-}
-
-void CLMeanStdDevKernel::run(const Window &window, cl::CommandQueue &queue)
-{
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
-
- // Clear sums
- static const cl_ulong zero = 0;
- queue.enqueueWriteBuffer(*_global_sum, CL_FALSE, 0, sizeof(cl_ulong), &zero);
-
- if(_stddev != nullptr)
- {
- queue.enqueueWriteBuffer(*_global_sum_squared, CL_FALSE, 0, sizeof(cl_ulong), &zero);
- }
-
- Window slice = window.first_slice_window_2D();
-
- do
- {
- unsigned int idx = 0;
- add_2D_tensor_argument(idx, _input, slice);
- // Set slice step equal to height to force gws[1] to 1,
- // as each thread calculates the sum across all rows and columns equal to the number of elements processed by each work-item
- slice.set_dimension_step(Window::DimY, _input->info()->dimension(1));
- enqueue(queue, *this, slice, lws_hint());
- }
- while(window.slide_window_slice_2D(slice));
-
- // Calculate mean and stddev
- cl_ulong global_sum = 0;
- cl_ulong global_sum_squared = 0;
- const float num_pixels = _input->info()->dimension(0) * _input->info()->dimension(1);
-
- queue.enqueueReadBuffer(*_global_sum, CL_TRUE, 0, sizeof(cl_ulong), static_cast<void *>(&global_sum));
- const float mean = global_sum / num_pixels;
- *_mean = mean;
-
- if(_stddev != nullptr)
- {
- queue.enqueueReadBuffer(*_global_sum_squared, CL_TRUE, 0, sizeof(cl_ulong), static_cast<void *>(&global_sum_squared));
- *_stddev = std::sqrt((global_sum_squared / num_pixels) - (mean * mean));
- }
-}
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