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authorMichalis Spyrou <michalis.spyrou@arm.com>2017-08-08 17:42:38 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commit04f089cbcb4407e8d2883525edb661ba15ea922d (patch)
tree09ad467ee43cf8ca2feacfb7c9849b1888c15c1d /src/core/CL/kernels/CLReductionOperationKernel.cpp
parent39b4e4dba05988240ff06c87d3c4cf4d7f63bcf2 (diff)
downloadComputeLibrary-04f089cbcb4407e8d2883525edb661ba15ea922d.tar.gz
COMPMID-476 L2 Normalization for CL
Change-Id: I88f87173645880eb823916c5d4ac884c372a4fb4 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/83269 Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLReductionOperationKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLReductionOperationKernel.cpp139
1 files changed, 139 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLReductionOperationKernel.cpp b/src/core/CL/kernels/CLReductionOperationKernel.cpp
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+++ b/src/core/CL/kernels/CLReductionOperationKernel.cpp
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+/*
+ * 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/CLReductionOperationKernel.h"
+
+#include "arm_compute/core/AccessWindowStatic.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;
+
+CLReductionOperationKernel::CLReductionOperationKernel()
+ : _input(nullptr), _output(nullptr), _reduction_axis(0), _op(ReductionOperation::SUM_SQUARE), _border_size()
+{
+}
+
+BorderSize CLReductionOperationKernel::border_size() const
+{
+ return _border_size;
+}
+
+void CLReductionOperationKernel::configure(const ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op)
+{
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
+ ARM_COMPUTE_ERROR_ON_NULLPTR(output);
+
+ // Output tensor auto initialization if not yet initialized
+ TensorShape output_shape{ input->info()->tensor_shape() };
+ output_shape.set(axis, 1);
+ auto_init_if_empty(*output->info(), output_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");
+
+ const unsigned int num_elems_processed_per_iteration = 16;
+ const unsigned int border_width = ((input->info()->dimension(0) % 128) != 0) ? 128 - input->info()->dimension(0) % 128 : 0;
+
+ _input = input;
+ _output = output;
+ _reduction_axis = axis;
+ _op = op;
+ _lws_hint = cl::NDRange(8);
+ _border_size = BorderSize(0, border_width, 0, 0);
+
+ // 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)));
+ if(is_data_type_fixed_point(input->info()->data_type()))
+ {
+ build_opts.emplace("-DFIXED_POINT_POSITION=" + support::cpp11::to_string(input->info()->fixed_point_position()));
+ }
+
+ switch(op)
+ {
+ case ReductionOperation::SUM_SQUARE:
+ build_opts.emplace(("-DOPERATION=square_sum"));
+ break;
+ case ReductionOperation::SUM:
+ build_opts.emplace(("-DOPERATION=sum"));
+ break;
+ default:
+ ARM_COMPUTE_ERROR("Unsupported reduction operation");
+ }
+
+ // Create kernel
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("reduction_operation", build_opts));
+
+ // Configure kernel window
+ Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
+
+ AccessWindowStatic input_access(input->info(), 0, 0, input->info()->dimension(0) + border_width, 1);
+ AccessWindowHorizontal output_access(output->info(), 0, 1);
+
+ update_window_and_padding(win, input_access, output_access);
+ output_access.set_valid_region(win, output->info()->valid_region());
+
+ ICLKernel::configure(win);
+}
+
+void CLReductionOperationKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
+
+ // Set out window
+ Window out_window(window);
+ out_window.set(Window::DimX, Window::Dimension(0, 0, 0));
+
+ // Get first input and output slices
+ Window in_slice = window.first_slice_window_1D();
+ Window out_slice = out_window.first_slice_window_1D();
+
+ // Reshape window
+ const unsigned int border_width = ((in_slice.x().end() % 128) != 0) ? 128 - in_slice.x().end() % 128 : 0;
+ in_slice.set(Window::DimX, Window::Dimension(in_slice.x().start(), in_slice.x().end() + border_width, in_slice.x().step()));
+
+ // Set local sums buffer
+ _kernel.setArg(num_arguments_per_1D_tensor() * 2, _lws_hint[0], nullptr);
+
+ do
+ {
+ unsigned int idx = 0;
+ add_1D_tensor_argument(idx, _input, in_slice);
+ add_1D_tensor_argument(idx, _output, out_slice);
+ enqueue(queue, *this, in_slice, _lws_hint);
+ }
+ while(window.slide_window_slice_1D(in_slice) && window.slide_window_slice_1D(out_slice));
+}