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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 "helpers.h"
/** This performs the dequantization of 8-bit unsigned integers to floating point.
*
* @param[in] input_ptr Pointer to the source image. Supported data types: QS8/QS16/F16/F32
* @param[in] input_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] input_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image
* @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr
* @param[in] output_stride_x Stride of the destination image in X dimension (in bytes)
* @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] output_stride_y Stride of the destination image in Y dimension (in bytes)
* @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes)
* @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
* @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image
* @param[in] min_max_ptr Pointer to the min/max vector. Minimum value in position 0, maximum value in position 1. Suppported data types: F32.
* @param[in] min_max_stride_x Stride of the min/max vector in X dimension (in bytes)
* @param[in] min_max_step_x min_max_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] min_max_offset_first_element_in_bytes The offset of the first element in the min/max vector
*/
__kernel void dequantization_layer(
TENSOR3D_DECLARATION(input),
TENSOR3D_DECLARATION(output),
VECTOR_DECLARATION(min_max))
{
// Get pixels pointer
Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
Vector min_max = CONVERT_TO_VECTOR_STRUCT(min_max);
// min_max_value.s0 = min, min_max_value.s1 = max
const float2 min_max_value = vload2(0, (__global float *)min_max.ptr);
const float4 vmin = (float4)min_max_value.s0;
const float4 scale = (float4)((min_max_value.s1 - min_max_value.s0) / 255.0f);
// Load data
const uchar4 data = vload4(0, (__global uchar *)input.ptr);
// Dequantize
const float4 res = convert_float4(data) * scale + vmin;
// Store result
vstore4(res, 0, (__global float *)output.ptr);
}
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