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/*
* Copyright (c) 2018 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 "helpers_asymm.h"
#include "warp_helpers_quantized.h"
/** Transforms four 2D coordinates. This is used to map the output coordinates to the input coordinates.
*
* @param[in] coord 2D coordinates to transform.
* @param[in] scale input/output scale ratio
*
* @return a float8 containing 4 2D transformed values in the input image.
*/
inline const float8 transform_bilinear_quantized(const float2 coord, const float2 scale)
{
const float4 in_x_coords = (float4)(coord.s0, 1 + coord.s0, 2 + coord.s0, 3 + coord.s0);
#ifdef SAMPLING_POLICY_TOP_LEFT
const float4 new_x = in_x_coords * (float4)(scale.s0);
const float4 new_y = (float4)(coord.s1 * scale.s1);
return (float8)(new_x.s0, new_y.s0, new_x.s1, new_y.s1, new_x.s2, new_y.s2, new_x.s3, new_y.s3);
#elif SAMPLING_POLICY_CENTER
const float4 new_x = (in_x_coords + ((float4)(0.5f))) * (float4)(scale.s0) - (float4)(0.5f);
const float4 new_y = (float4)((coord.s1 + 0.5f) * scale.s1 - 0.5f);
return (float8)(new_x.s0, new_y.s0, new_x.s1, new_y.s1, new_x.s2, new_y.s2, new_x.s3, new_y.s3);
#else /* SAMPLING_POLICY */
#error("Unsupported sampling policy");
#endif /* SAMPLING_POLICY */
}
/** Performs an affine transformation on an image interpolating with the BILINEAR method.
*
* @note Sampling policy to used is passed as -DSAMPLING_POLICY_(TYPE) e.g. -DSAMPLING_POLICY_TOP_LEFT
* @note Scale value for QASYMM8 data type to used is passed as -DSCALE=<VALUE> e.g. -DSCALE=0.5
* @note Offset value for QASYMM8 data type to used is passed as -DOFFSET=<VALUE> e.g. -DOFFSET=1
*
* @param[in] in_ptr Pointer to the source image. Supported data types: QASYMM8.
* @param[in] in_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] in_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] in_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] in_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image
* @param[out] out_ptr Pointer to the destination image. Supported data types: U8, S16. (Must be the same as the input)
* @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)
* @param[in] out_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)
* @param[in] out_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image
* @param[in] input_width Input image width
* @param[in] input_height Input image height
* @param[in] scale_x The scale factor along x dimension
* @param[in] scale_y The scale factor along y dimension
*/
__kernel void scale_bilinear_quantized_nchw(
IMAGE_DECLARATION(in),
IMAGE_DECLARATION(out),
const float input_width,
const float input_height,
const float scale_x,
const float scale_y)
{
Image in = CONVERT_TO_IMAGE_STRUCT_NO_STEP(in);
Image out = CONVERT_TO_IMAGE_STRUCT(out);
const float2 r = (float2)(scale_x, scale_y);
const float8 tc = transform_bilinear_quantized(get_current_coords_quantized(), r);
vstore4(bilinear_interpolate_with_border_quantized(&in, tc, input_width, input_height, BORDER_SIZE, SCALE, OFFSET), 0, (__global DATA_TYPE *)out.ptr);
}
#if defined(DEPTH_OUT)
/** Performs scale on an image interpolating with the BILINEAR method. (NHWC)
*
* @note Sampling policy to be used is passed as -DSAMPLING_POLICY_(TYPE) e.g. -DSAMPLING_POLICY_TOP_LEFT
* @note Scale value for QASYMM8 data type to used is passed as -DSCALE=<VALUE> e.g. -DSCALE=0.5
* @note Offset value for QASYMM8 data type to used is passed as -DOFFSET=<VALUE> e.g. -DOFFSET=1
* @note If border mode replicate is used, is should be passed as -DBORDER_MODE_REPLICATE
* @note Output tensor's depth should be given as a preprocessor argument using -DDEPTH_OUT=size. e.g. -DDEPTH=16
*
* @param[in] in_ptr Pointer to the source image. Supported data types: QASYMM8.
* @param[in] in_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] in_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] in_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] in_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] in_stride_z Stride of the source image in Z dimension (in bytes)
* @param[in] in_step_z src_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image
* @param[out] out_ptr Pointer to the destination image. Supported data types: same as @p in_ptr
* @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)
* @param[in] out_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)
* @param[in] out_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] out_stride_z Stride of the destination image in Z dimension (in bytes)
* @param[in] out_step_z dst_stride_y * number of elements along Z processed per workitem(in bytes)
* @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image
* @param[in] input_width Input image width
* @param[in] input_height Input image height
* @param[in] scale_x The scale factor along x dimension
* @param[in] scale_y The scale factor along y dimension
*/
__kernel void scale_bilinear_quantized_nhwc(
TENSOR4D_DECLARATION(in),
TENSOR4D_DECLARATION(out),
const float input_width,
const float input_height,
const float scale_x,
const float scale_y)
{
Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(in, 0);
Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT(out, DEPTH_OUT);
#ifdef SAMPLING_POLICY_TOP_LEFT
const float new_x = get_global_id(1) * scale_x;
const float new_y = (get_global_id(2) % DEPTH_OUT) * scale_y;
#elif SAMPLING_POLICY_CENTER
const float new_x = (get_global_id(1) + 0.5f) * scale_x - 0.5f;
const float new_y = ((get_global_id(2) % DEPTH_OUT) + 0.5f) * scale_y - 0.5f;
#else /* SAMPLING_POLICY */
#error("Unsupported sampling policy");
#endif /* SAMPLING_POLICY */
const float new_xf = floor(new_x);
const float new_yf = floor(new_y);
float clamped_x = clamp(new_xf, 0.0f, input_width - 1);
float clamped_x1 = clamp(new_xf + 1, 0.0f, input_width - 1);
float clamped_x_ = clamped_x;
float clamped_x1_ = clamped_x1;
const float clamped_y = clamp(new_yf, 0.0f, input_height - 1);
const float clamped_y1 = clamp(new_yf + 1, 0.0f, input_height - 1);
#ifndef BORDER_MODE_REPLICATE
clamped_x1 = select(clamped_x1, 0.0f - BORDER_SIZE, new_yf + 1 < 0.f || new_yf + 1 > input_height - 1 || new_xf + 1 < 0.f || new_xf + 1 > input_width - 1);
clamped_x_ = select(clamped_x_, 0.0f - BORDER_SIZE, new_yf + 1 > input_height - 1 || new_xf < 0.f || new_xf > input_width - 1);
clamped_x = select(clamped_x, 0.0f - BORDER_SIZE, new_yf < 0.f || new_yf > input_height - 1 || new_xf < 0.f || new_xf > input_width - 1);
clamped_x1_ = select(clamped_x1_, 0.0f - BORDER_SIZE, new_xf + 1 < 0.f || new_xf + 1 > input_width - 1 || new_yf < 0.f || new_yf > input_height - 1);
#endif /* BORDER_MODE_REPLICATE */
int4 ins = (int4)(*((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x), convert_int(clamped_y), (get_global_id(2) / DEPTH_OUT))),
*((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x1_), convert_int(clamped_y), (get_global_id(2) / DEPTH_OUT))),
*((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x_), convert_int(clamped_y1), (get_global_id(2) / DEPTH_OUT))),
*((__global DATA_TYPE *)tensor4D_offset(&in, get_global_id(0), convert_int(clamped_x1), convert_int(clamped_y1), (get_global_id(2) / DEPTH_OUT))));
const float a = new_x - new_xf;
const float b = 1.f - a;
const float a1 = new_y - new_yf;
const float b1 = 1.f - a1;
const float4 insf32 = convert_float4(ins - (int4)OFFSET) * (float4)SCALE;
const float fr = ((insf32.s0 * b * b1) + (insf32.s1 * a * b1) + (insf32.s2 * b * a1) + (insf32.s3 * a * a1));
DATA_TYPE res = CONVERT_SAT(convert_int_sat_rtp(fr / SCALE) + OFFSET, DATA_TYPE);
*((__global DATA_TYPE *)out.ptr) = res;
}
#endif /* defined(DEPTH_OUT) */
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