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authorGiorgio Arena <giorgio.arena@arm.com>2017-11-23 11:45:24 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:41:58 +0000
commit04a8f8c4994f1c32b3f16a832c0e6f2599364c02 (patch)
treebb96843720896c60f8876a753b0a61b1efcab73b /src/core/CL/kernels/CLL2NormalizeKernel.cpp
parent58c5794b917dae10ff115dd85ec69e2ca41136c1 (diff)
downloadComputeLibrary-04a8f8c4994f1c32b3f16a832c0e6f2599364c02.tar.gz
COMPMID-692 Consistent names for the interfaces
Change-Id: I4b1f3f0da9ff5342c7de7083736fe91871d14e5b Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110351 Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLL2NormalizeKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLL2NormalizeKernel.cpp110
1 files changed, 0 insertions, 110 deletions
diff --git a/src/core/CL/kernels/CLL2NormalizeKernel.cpp b/src/core/CL/kernels/CLL2NormalizeKernel.cpp
deleted file mode 100644
index 3e0758c980..0000000000
--- a/src/core/CL/kernels/CLL2NormalizeKernel.cpp
+++ /dev/null
@@ -1,110 +0,0 @@
-/*
- * 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/CLL2NormalizeKernel.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/FixedPoint.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/Window.h"
-
-#include "support/ToolchainSupport.h"
-
-using namespace arm_compute;
-
-CLL2NormalizeKernel::CLL2NormalizeKernel()
- : _input(nullptr), _sum(nullptr), _output(nullptr), _axis(0), _epsilon(1e-12)
-{
-}
-
-void CLL2NormalizeKernel::configure(const ICLTensor *input, const ICLTensor *sum, ICLTensor *output, unsigned int axis, float epsilon)
-{
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
- ARM_COMPUTE_ERROR_ON_NULLPTR(output);
-
- // Sum and output tensor auto initialization if not yet initialized
- auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, input->info()->data_type(), input->info()->fixed_point_position());
-
- ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
- ARM_COMPUTE_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions, "Reduction axis greater than max number of dimensions");
- ARM_COMPUTE_ERROR_ON_MSG(axis > 0, "Unsupported reduction axis, Supported axis is 0");
- ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
-
- _input = input;
- _sum = sum;
- _output = output;
- _axis = axis;
- _epsilon = epsilon;
-
- const unsigned int num_elems_processed_per_iteration = 16;
-
- // Set 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(("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)));
-
- // Create kernel
- _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("l2_normalize", build_opts));
-
- // Set epsilon argument
- unsigned int idx = num_arguments_per_1D_tensor() * 3;
- _kernel.setArg<cl_uint>(idx, _epsilon);
-
- // Configure kernel window
- Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
-
- AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration);
- AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
-
- update_window_and_padding(win, input_access, output_access);
- output_access.set_valid_region(win, input->info()->valid_region());
-
- ICLKernel::configure(win);
-}
-
-void CLL2NormalizeKernel::run(const Window &window, cl::CommandQueue &queue)
-{
- ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
- ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
-
- Window window_sum(window);
- window_sum.set(Window::DimX, Window::Dimension(0, 0, 0));
-
- Window in_slice = window.first_slice_window_1D();
- Window sum_slice = window_sum.first_slice_window_1D();
-
- do
- {
- unsigned int idx = 0;
- add_1D_tensor_argument(idx, _input, in_slice);
- add_1D_tensor_argument(idx, _sum, sum_slice);
- add_1D_tensor_argument(idx, _output, in_slice);
- enqueue(queue, *this, in_slice);
- }
- while(window.slide_window_slice_1D(in_slice) && window.slide_window_slice_1D(sum_slice));
-}