239 lines
11 KiB
C++
239 lines
11 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "Scale.h"
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#include "Utils.h"
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#include "arm_compute/core/utils/misc/Utility.h"
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#include "src/core/utils/ScaleUtils.h"
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#include "support/Rounding.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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namespace reference
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{
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template <typename T>
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SimpleTensor<T> scale_core(const SimpleTensor<T> &in, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value,
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SamplingPolicy sampling_policy, bool ceil_policy_scale, bool align_corners)
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{
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// Add 1 if ceil_policy_scale is true
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const size_t round_value = ceil_policy_scale ? 1U : 0U;
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TensorShape shape_scaled(in.shape());
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shape_scaled.set(0, (in.shape()[0] + round_value) * scale_x, /* apply_dim_correction = */ false);
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shape_scaled.set(1, (in.shape()[1] + round_value) * scale_y, /* apply_dim_correction = */ false);
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SimpleTensor<T> out(shape_scaled, in.data_type());
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// Compute the ratio between source width/height and destination width/height
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const auto wr = arm_compute::scale_utils::calculate_resize_ratio(in.shape()[0], out.shape()[0], align_corners);
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const auto hr = arm_compute::scale_utils::calculate_resize_ratio(in.shape()[1], out.shape()[1], align_corners);
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const auto width = static_cast<int>(in.shape().x());
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const auto height = static_cast<int>(in.shape().y());
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// Determine border size
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const int border_size = (border_mode == BorderMode::UNDEFINED) ? 0 : 1;
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// Area interpolation behaves as Nearest Neighbour in case of up-sampling
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if(policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f)
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{
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policy = InterpolationPolicy::NEAREST_NEIGHBOR;
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}
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const uint32_t num_elements = out.num_elements();
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for(uint32_t element_idx = 0, count = 0; element_idx < num_elements; ++element_idx, ++count)
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{
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Coordinates id = index2coord(out.shape(), element_idx);
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int idx = id.x();
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int idy = id.y();
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float x_src = 0;
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float y_src = 0;
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switch(policy)
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{
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case InterpolationPolicy::NEAREST_NEIGHBOR:
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{
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switch(sampling_policy)
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{
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case SamplingPolicy::TOP_LEFT:
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x_src = align_corners ? arm_compute::utils::rounding::round_half_away_from_zero(idx * wr) : std::floor(idx * wr);
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y_src = align_corners ? arm_compute::utils::rounding::round_half_away_from_zero(idy * hr) : std::floor(idy * hr);
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break;
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case SamplingPolicy::CENTER:
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//Calculate the source coords without -0.5f is equivalent to round the x_scr/y_src coords
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x_src = (idx + 0.5f) * wr;
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y_src = (idy + 0.5f) * hr;
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break;
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default:
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ARM_COMPUTE_ERROR("Unsupported sampling policy.");
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}
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id.set(0, x_src);
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id.set(1, y_src);
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// If coordinates in range of tensor's width or height
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if(is_valid_pixel_index(x_src, y_src, width, height, border_size))
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{
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out[element_idx] = tensor_elem_at(in, id, border_mode, constant_border_value);
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}
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break;
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}
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case InterpolationPolicy::BILINEAR:
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{
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switch(sampling_policy)
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{
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case SamplingPolicy::TOP_LEFT:
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x_src = idx * wr;
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y_src = idy * hr;
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break;
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case SamplingPolicy::CENTER:
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x_src = (idx + 0.5f) * wr - 0.5f;
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y_src = (idy + 0.5f) * hr - 0.5f;
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break;
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default:
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ARM_COMPUTE_ERROR("Unsupported sampling policy.");
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}
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id.set(0, std::floor(x_src));
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id.set(1, std::floor(y_src));
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if(is_valid_pixel_index(x_src, y_src, width, height, border_size))
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{
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out[element_idx] = bilinear_policy(in, id, x_src, y_src, border_mode, constant_border_value);
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}
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else
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{
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if(border_mode == BorderMode::CONSTANT)
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{
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out[element_idx] = constant_border_value;
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}
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else if(border_mode == BorderMode::REPLICATE)
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{
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id.set(0, utility::clamp<int>(x_src, 0, width - 1));
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id.set(1, utility::clamp<int>(y_src, 0, height - 1));
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out[element_idx] = in[coord2index(in.shape(), id)];
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}
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}
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break;
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}
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case InterpolationPolicy::AREA:
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{
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int x_from = std::floor(idx * wr - 0.5f - x_src);
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int y_from = std::floor(idy * hr - 0.5f - y_src);
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int x_to = std::ceil((idx + 1) * wr - 0.5f - x_src);
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int y_to = std::ceil((idy + 1) * hr - 0.5f - y_src);
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const int xi = std::floor(x_src);
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const int yi = std::floor(y_src);
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// Clamp position to borders
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x_src = std::max(-static_cast<float>(border_size), std::min(x_src, static_cast<float>(width - 1 + border_size)));
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y_src = std::max(-static_cast<float>(border_size), std::min(y_src, static_cast<float>(height - 1 + border_size)));
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// Clamp bounding box offsets to borders
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x_from = ((x_src + x_from) < -border_size) ? -border_size : x_from;
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y_from = ((y_src + y_from) < -border_size) ? -border_size : y_from;
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x_to = ((x_src + x_to) >= (width + border_size)) ? (width - 1 + border_size) : x_to;
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y_to = ((y_src + y_to) >= (height + border_size)) ? (height - 1 + border_size) : y_to;
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ARM_COMPUTE_ERROR_ON((x_to - x_from + 1) == 0 || (y_to - y_from + 1) == 0);
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float sum = 0;
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for(int j = yi + y_from, je = yi + y_to; j <= je; ++j)
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{
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for(int i = xi + x_from, ie = xi + x_to; i <= ie; ++i)
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{
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id.set(0, static_cast<int>(i));
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id.set(1, static_cast<int>(j));
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sum += tensor_elem_at(in, id, border_mode, constant_border_value);
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}
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}
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out[element_idx] = sum / ((x_to - x_from + 1) * (y_to - y_from + 1));
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break;
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}
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default:
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ARM_COMPUTE_ERROR("Unsupported interpolation mode");
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}
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}
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return out;
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}
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template <typename T>
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SimpleTensor<T> scale(const SimpleTensor<T> &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value,
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SamplingPolicy sampling_policy, bool ceil_policy_scale, bool align_corners)
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{
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return scale_core<T>(src, scale_x, scale_y, policy, border_mode, constant_border_value, sampling_policy, ceil_policy_scale, align_corners);
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}
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template <>
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SimpleTensor<uint8_t> scale(const SimpleTensor<uint8_t> &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value,
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SamplingPolicy sampling_policy, bool ceil_policy_scale, bool align_corners)
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{
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SimpleTensor<uint8_t> dst;
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if(src.quantization_info().uniform().scale != 0.f)
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{
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SimpleTensor<float> src_tmp = convert_from_asymmetric(src);
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float constant_border_value_f = dequantize_qasymm8(constant_border_value, src.quantization_info());
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SimpleTensor<float> dst_tmp = scale_core<float>(src_tmp, scale_x, scale_y, policy, border_mode, constant_border_value_f, sampling_policy, ceil_policy_scale, align_corners);
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dst = convert_to_asymmetric<uint8_t>(dst_tmp, src.quantization_info());
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}
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else
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{
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dst = scale_core<uint8_t>(src, scale_x, scale_y, policy, border_mode, constant_border_value, sampling_policy, ceil_policy_scale, align_corners);
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}
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return dst;
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}
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template <>
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SimpleTensor<int8_t> scale(const SimpleTensor<int8_t> &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, int8_t constant_border_value,
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SamplingPolicy sampling_policy, bool ceil_policy_scale, bool align_corners)
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{
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SimpleTensor<int8_t> dst;
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if(src.quantization_info().uniform().scale != 0.f)
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{
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SimpleTensor<float> src_tmp = convert_from_asymmetric(src);
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float constant_border_value_f = dequantize_qasymm8_signed(constant_border_value, src.quantization_info());
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SimpleTensor<float> dst_tmp = scale_core<float>(src_tmp, scale_x, scale_y, policy, border_mode, constant_border_value_f, sampling_policy, ceil_policy_scale, align_corners);
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dst = convert_to_asymmetric<int8_t>(dst_tmp, src.quantization_info());
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}
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else
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{
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dst = scale_core<int8_t>(src, scale_x, scale_y, policy, border_mode, constant_border_value, sampling_policy, ceil_policy_scale, align_corners);
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}
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return dst;
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}
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template SimpleTensor<int16_t> scale(const SimpleTensor<int16_t> &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, int16_t constant_border_value,
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SamplingPolicy sampling_policy, bool ceil_policy_scale, bool align_corners);
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template SimpleTensor<half> scale(const SimpleTensor<half> &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, half constant_border_value,
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SamplingPolicy sampling_policy, bool ceil_policy_scale, bool align_corners);
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template SimpleTensor<float> scale(const SimpleTensor<float> &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, float constant_border_value,
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SamplingPolicy sampling_policy, bool ceil_policy_scale, bool align_corners);
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} // namespace reference
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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