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author | Michalis Spyrou <michalis.spyrou@arm.com> | 2021-02-23 11:48:12 +0000 |
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committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2021-03-03 15:04:20 +0000 |
commit | 473cb01e84cef6cab057e9492bfa3b68f708e5d7 (patch) | |
tree | a500b8a8afe6a0442e1a54fb8d52c77d22543bcb /src/core/CL/kernels/CLMeanStdDevKernel.cpp | |
parent | f466d75f85938b96dd14675ec091193bdce12122 (diff) | |
download | ComputeLibrary-473cb01e84cef6cab057e9492bfa3b68f708e5d7.tar.gz |
Remove Compute Vision CL support
Resolves COMPMID-4151
Change-Id: I46f541efe8c4087f27794d2e158b6c1547d459ba
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5160
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLMeanStdDevKernel.cpp')
-rw-r--r-- | src/core/CL/kernels/CLMeanStdDevKernel.cpp | 156 |
1 files changed, 0 insertions, 156 deletions
diff --git a/src/core/CL/kernels/CLMeanStdDevKernel.cpp b/src/core/CL/kernels/CLMeanStdDevKernel.cpp deleted file mode 100644 index aed6e6eaf7..0000000000 --- a/src/core/CL/kernels/CLMeanStdDevKernel.cpp +++ /dev/null @@ -1,156 +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 "src/core/CL/kernels/CLMeanStdDevKernel.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/Helpers.h" -#include "arm_compute/core/TensorInfo.h" -#include "src/core/CL/CLValidate.h" -#include "src/core/helpers/WindowHelpers.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)); - } -} |