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authorMichele Di Giorgio <michele.digiorgio@arm.com>2017-07-27 09:53:49 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commit56dd726ee074cb145612d03240b710f8adb82ddd (patch)
tree35f3a18102ccaa8f21c8397470f3d63f835c890c /src/core/CL/kernels/CLMinMaxLayerKernel.cpp
parent1cd0d5247ed1be3f9e36eb3b39bb91de296e50dd (diff)
downloadComputeLibrary-56dd726ee074cb145612d03240b710f8adb82ddd.tar.gz
COMPMID-448: Implement CL Quantization/Dequantization Layer.
Change-Id: Id002e23a2ac48af3d245416dc6411d9a04a1e513 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81827 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLMinMaxLayerKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLMinMaxLayerKernel.cpp136
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diff --git a/src/core/CL/kernels/CLMinMaxLayerKernel.cpp b/src/core/CL/kernels/CLMinMaxLayerKernel.cpp
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+++ b/src/core/CL/kernels/CLMinMaxLayerKernel.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/CLMinMaxLayerKernel.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/Helpers.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+#include <climits>
+
+using namespace arm_compute;
+
+CLMinMaxLayerKernel::CLMinMaxLayerKernel()
+ : _input(nullptr), _output(nullptr)
+{
+}
+
+void CLMinMaxLayerKernel::configure(const ICLTensor *input, ICLTensor *output)
+{
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
+ ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() < 3);
+ ARM_COMPUTE_ERROR_ON_NULLPTR(output);
+
+ TensorShape output_shape{ input->info()->tensor_shape() };
+ output_shape.set(Window::DimX, 2);
+ output_shape.remove_dimension(1);
+ output_shape.remove_dimension(1);
+
+ // Output auto initialization if not yet initialized
+ 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_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape);
+
+ _input = input;
+ _output = output;
+
+ const unsigned int num_elems_processed_per_iteration = 1;
+
+ std::set<std::string> build_opts;
+ build_opts.emplace("-DWIDTH=" + support::cpp11::to_string(input->info()->dimension(0)));
+ build_opts.emplace("-DHEIGHT=" + support::cpp11::to_string(input->info()->dimension(1)));
+ build_opts.emplace("-DDEPTH=" + support::cpp11::to_string(input->info()->dimension(2)));
+
+ // Create kernel
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("minmax_layer", build_opts));
+
+ // 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);
+ AccessWindowStatic output_access(output->info(), 0, 0, 2, output->info()->dimension(1));
+
+ update_window_and_padding(win, input_access, output_access);
+
+ output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape()));
+
+ ICLKernel::configure(win);
+}
+
+void CLMinMaxLayerKernel::reset(cl::CommandQueue &queue)
+{
+ _output->map(queue, true);
+
+ Window window_output;
+ window_output.use_tensor_dimensions(_output->info()->tensor_shape());
+ window_output.set(Window::DimX, Window::Dimension(0, 1, 1));
+ window_output.collapse_if_possible(ICLKernel::window(), 1);
+
+ Iterator output(_output, window_output);
+
+ // Reset output
+ execute_window_loop(window_output, [&](const Coordinates & id)
+ {
+ auto *ptr = reinterpret_cast<float *>(output.ptr());
+ ptr[0] = std::numeric_limits<float>::max();
+ ptr[1] = std::numeric_limits<float>::min();
+ },
+ output);
+
+ _output->unmap(queue);
+}
+
+void CLMinMaxLayerKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
+
+ // Collapse min/max batches
+ Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), 3);
+ Window slice = window_collapsed.first_slice_window_3D();
+ slice.set(Window::DimX, Window::Dimension(0, 1, 1));
+ slice.set(Window::DimY, Window::Dimension(0, 1, 1));
+ slice.set(Window::DimZ, Window::Dimension(0, 1, 1));
+
+ Window window_output;
+ window_output.use_tensor_dimensions(_output->info()->tensor_shape());
+ window_output.set(Window::DimX, Window::Dimension(0, 1, 1));
+ window_output.collapse_if_possible(ICLKernel::window(), 1);
+
+ Window output_slice = window_output.first_slice_window_1D();
+
+ do
+ {
+ unsigned int idx = 0;
+ // Set inputs
+ add_3D_tensor_argument(idx, _input, slice);
+ add_1D_tensor_argument(idx, _output, output_slice);
+ enqueue(queue, *this, slice);
+ }
+ while(window.slide_window_slice_3D(slice) && window_output.slide_window_slice_1D(output_slice));
+}