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/*
* Copyright (c) 2017-2018 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.
*/
layout(local_size_x = LOCAL_SIZE_X, local_size_y = LOCAL_SIZE_Y, local_size_z = LOCAL_SIZE_Z) in;
#include "helpers_cs.h"
#if defined(DATA_TYPE_FP16)
precision mediump float;
#endif // DATA_TYPE_FP16
/** This kernel performs a shift to move "pad_x" columns to the right.
*
* @note The data type must be passed at compile time using "#define DATA_TYPE_NAME". e.g. "#define DATA_TYPE_FP32"
* @note The width must be passed at compile time using "#define WIDTH n" e.g. "#define WIDTH 1"
*
* @param[in,out] src_ptr Pointer to the source tensor slice. Supported data types: F16/F32
* @param[in] src_attrs The attributes of the source tensor
* @param[in] pad_x The padding of the source tensor in x dimension
*/
SHADER_PARAMS_DECLARATION
{
Tensor3DAttributes src_attrs;
uint pad_x;
};
#if defined(DATA_TYPE_FP16)
TENSOR_DECLARATION(1, srcBuffer, uint, src_ptr, src_shift, 2, restrict);
void main()
{
Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift);
int n = int(pad_x) % 2;
if(n == 1)
{
int i = 0;
if((WIDTH % 2) == 1)
{
i = WIDTH + int(pad_x) - 2;
}
else
{
vec2 s0_end = LOAD_UNPACK2_HALF(src_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src_iter, (2 * (WIDTH - 2))));
vec2 s_end = vec2(s0_end.y, 0.f);
STORE_PACK2_HALF(src_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src_iter, (2 * (WIDTH + int(pad_x) - 1))), s_end);
i = WIDTH + int(pad_x) - 3;
}
for(; i >= (int(pad_x) + 1); i = i - 2)
{
vec2 s0 = LOAD_UNPACK2_HALF(src_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src_iter, (2 * (i - int(pad_x) - 1))));
vec2 s1 = LOAD_UNPACK2_HALF(src_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src_iter, (2 * (i - int(pad_x) + 1))));
vec2 s = vec2(s0.y, s1.x);
STORE_PACK2_HALF(src_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src_iter, (2 * i)), s);
}
for(int j = 0; j < (int(pad_x) - 1); j = j + 2)
{
vec2 s_origin = vec2(0.f);
STORE_PACK2_CURRENT_ITEM_HALF(src_ptr, src_iter, s_origin);
TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, 4);
}
vec2 s0_origin = LOAD_UNPACK2_CURRENT_ITEM_HALF(src_ptr, src_iter);
vec2 s_origin = vec2(0.f, s0_origin.x);
STORE_PACK2_CURRENT_ITEM_HALF(src_ptr, src_iter, s_origin);
}
else
{
int i = 0;
if((WIDTH % 2) == 0)
{
i = WIDTH + int(pad_x) - 2;
}
else
{
vec2 s0_end = LOAD_UNPACK2_HALF(src_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src_iter, (2 * (WIDTH - 1))));
vec2 s_end = vec2(s0_end.x, 0.f);
STORE_PACK2_HALF(src_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src_iter, (2 * (WIDTH + int(pad_x) - 1))), s_end);
i = WIDTH + int(pad_x) - 3;
}
for(; i >= (int(pad_x)); i = i - 2)
{
vec2 s = LOAD_UNPACK2_HALF(src_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src_iter, (2 * (i - int(pad_x)))));
STORE_PACK2_HALF(src_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(src_iter, (2 * i)), s);
}
for(int j = 0; j < int(pad_x); j = j + 2)
{
vec2 s = vec2(0.f);
STORE_PACK2_CURRENT_ITEM_HALF(src_ptr, src_iter, s);
TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, 4);
}
}
}
#elif defined(DATA_TYPE_FP32)
TENSOR_DECLARATION(1, srcBuffer, float, src_ptr, src_shift, 2, restrict);
void main()
{
Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift);
for(int i = (WIDTH + int(pad_x) - 1); i >= int(pad_x); i--)
{
float sorigin = LOAD(src_ptr, TENSOR_OFFSET_ADVANCE(src_iter, (i - int(pad_x))));
STORE(src_ptr, TENSOR_OFFSET_ADVANCE(src_iter, i), sorigin);
}
for(int j = 0; j < int(pad_x); j++)
{
STORE_CURRENT_ITEM(src_ptr, src_iter, 0.f);
TENSOR_ITERATOR_ADVANCE_IN_BYTES(src_iter, 4);
}
}
#else /* DATA_TYPE_FP16 */
#error Data type not supported
#endif /* DATA_TYPE_FP16 */
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