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diff --git a/compute/ARMComputeEx/src/core/CPP/kernels/CPPUpsampleKernelEx.cpp b/compute/ARMComputeEx/src/core/CPP/kernels/CPPUpsampleKernelEx.cpp
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+++ b/compute/ARMComputeEx/src/core/CPP/kernels/CPPUpsampleKernelEx.cpp
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+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ * Copyright (c) 2017-2019 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/CPP/kernels/CPPUpsampleKernelEx.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+#include <cstddef>
+#include <cstdint>
+
+namespace arm_compute
+{
+CPPUpsampleKernelEx::CPPUpsampleKernelEx() : _input(nullptr), _output(nullptr), _info() {}
+
+bool CPPUpsampleKernelEx::is_parallelisable() const { return false; }
+
+void CPPUpsampleKernelEx::configure(const ITensor *input, ITensor *output,
+ const PadStrideInfo &info)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+
+ _input = input;
+ _output = output;
+ _info = info;
+
+ // Configure kernel window
+ Window win = calculate_max_window(*input->info(), Steps());
+
+ // The CPPUpsampleKernelEx doesn't need padding so update_window_and_padding() can be skipped
+ Coordinates coord;
+ coord.set_num_dimensions(output->info()->num_dimensions());
+ output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape()));
+
+ ICPPKernel::configure(win);
+}
+
+void CPPUpsampleKernelEx::run(const Window &window, const ThreadInfo &info)
+{
+ ARM_COMPUTE_UNUSED(info);
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window);
+
+ // Initialize _scaled_output buffer
+ const int width_scaled = _output->info()->dimension(0);
+ const int height_scaled = _output->info()->dimension(1);
+ const int stride_x = _info.stride().first;
+ const int stride_y = _info.stride().second;
+ const int start_x = _info.pad_left();
+ const int start_y = _info.pad_top();
+ const int end_y = height_scaled - _info.pad_bottom();
+ const int end_x = width_scaled - _info.pad_top();
+ const size_t element_size = _input->info()->element_size();
+
+ // The fill value is normally 0, but for QASYMM8 the '0' corresponds to the offset
+ const uint8_t fill_value =
+ _output->info()->data_type() == DataType::QASYMM8
+ ? utility::clamp<uint8_t>(_output->info()->quantization_info().offset)
+ : 0;
+ // Filling a value different than 0 works only for QASYMM8 datatype since we are filling 1byte
+ // values in a buffer of uint8_ts
+ std::fill_n(_output->buffer(), _output->info()->total_size(), fill_value);
+
+ // Create window
+ Window window_out(window);
+ window_out.set(Window::DimX, Window::Dimension(start_x, end_x, stride_x));
+ window_out.set(Window::DimY, Window::Dimension(start_y, end_y, stride_y));
+
+ // Create iterators
+ Iterator in(_input, window);
+ Iterator out(_output, window_out);
+
+ execute_window_loop(
+ window, [&](const Coordinates &) { memcpy(out.ptr(), in.ptr(), element_size); }, in, out);
+}
+} // namespace arm_compute