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-rw-r--r--src/core/NEON/kernels/NEFFTScaleKernel.cpp136
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diff --git a/src/core/NEON/kernels/NEFFTScaleKernel.cpp b/src/core/NEON/kernels/NEFFTScaleKernel.cpp
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+++ b/src/core/NEON/kernels/NEFFTScaleKernel.cpp
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+/*
+ * Copyright (c) 2019 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/NEON/kernels/NEFFTScaleKernel.h"
+
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/NEON/wrapper/wrapper.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+#include <arm_neon.h>
+
+namespace arm_compute
+{
+namespace
+{
+void scale_complex(float *c_in, float *c_out, bool is_conjugate, float scale)
+{
+ const auto a = wrapper::vload(c_in);
+ auto b = wrapper::vdiv(a, float32x2_t{ scale, scale });
+ if(is_conjugate)
+ {
+ const float img_part = wrapper::vgetlane(b, 1);
+ b = wrapper::vsetlane(-img_part, b, 1);
+ }
+
+ wrapper::vstore(c_out, b);
+}
+
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 2, DataType::F32);
+
+ // Checks performed when output is configured
+ if((output != nullptr) && (output->total_size() != 0))
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON(output->num_channels() != 1 && output->num_channels() != 2);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+ }
+
+ return Status{};
+}
+
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+{
+ // Configure kernel window
+ Window win = calculate_max_window(*input, Steps());
+
+ if(output != nullptr)
+ {
+ // Output auto inizialitation if not yet initialized
+ auto_init_if_empty(*output, *input->clone());
+
+ // NEFFTScaleKernel doesn't need padding so update_window_and_padding() can be skipped
+ Coordinates coord;
+ coord.set_num_dimensions(output->num_dimensions());
+ output->set_valid_region(ValidRegion(coord, output->tensor_shape()));
+ }
+
+ return std::make_pair(Status{}, win);
+}
+} // namespace
+
+NEFFTScaleKernel::NEFFTScaleKernel()
+ : _input(nullptr), _output(nullptr), _scale(), _run_in_place(false), _is_conj(false)
+{
+}
+
+void NEFFTScaleKernel::configure(ITensor *input, ITensor *output, const FFTScaleKernelInfo &config)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input);
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (output != nullptr) ? output->info() : nullptr));
+
+ _input = input;
+ _output = output;
+ _run_in_place = (output == nullptr) || (output == input);
+ _is_conj = config.conjugate;
+ _scale = config.scale;
+
+ // Configure kernel window
+ auto win_config = validate_and_configure_window(input->info(), _run_in_place ? nullptr : output->info());
+ ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+ INEKernel::configure(win_config.second);
+}
+
+Status NEFFTScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const FFTScaleKernelInfo &config)
+{
+ ARM_COMPUTE_UNUSED(config);
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
+
+ return Status{};
+}
+
+void NEFFTScaleKernel::run(const Window &window, const ThreadInfo &info)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
+ ARM_COMPUTE_UNUSED(info);
+
+ Window input_window = window;
+ input_window.set(Window::DimX, 0);
+
+ Iterator in(_input, input_window);
+ Iterator out(_run_in_place ? _input : _output, input_window);
+
+ execute_window_loop(window, [&](const Coordinates &)
+ {
+ scale_complex(reinterpret_cast<float *>(out.ptr()), reinterpret_cast<float *>(in.ptr()), _is_conj, _scale);
+ },
+ in, out);
+}
+} // namespace arm_compute