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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.
*/
layout(local_size_x = LOCAL_SIZE_X, local_size_y = LOCAL_SIZE_Y, local_size_z = LOCAL_SIZE_Z) in;
#include "helpers_cs.h"
precision mediump float;
/** Apply normalize_planar_yuv layer.
*
* @param[in] src_ptr Pointer to the first source tensor. Supported data types: F16
* @param[in] src_attrs The attributes of the source tensor
* @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr
* @param[in] dst_attrs The attributes of the destination tensor
* @param[in] mean_ptr Pointer to the mean source tensor. Supported data types: same as @p src_ptr
* @param[in] mean_attrs The attributes of the mean tensor
* @param[in] sd_ptr Standard deviation values tensor,pointer to the sd tensor. Supported data types: same as @p src_ptr
* @param[in] sd_attrs The attributes of the sd tensor
*/
SHADER_PARAMS_DECLARATION
{
Tensor3DAttributes src_attrs;
Tensor3DAttributes dst_attrs;
VectorAttributes mean_attrs;
VectorAttributes sd_attrs;
};
TENSOR_DECLARATION(1, srcBuffer, uvec2, src_ptr, src_shift, 3, readonly);
TENSOR_DECLARATION(2, dstBuffer, uvec2, dst_ptr, dst_shift, 3, writeonly);
TENSOR_DECLARATION(3, meanBuffer, uvec2, mean_ptr, mean_shift, 3, readonly);
TENSOR_DECLARATION(4, sdBuffer, uvec2, sd_ptr, sd_shift, 3, readonly);
void main(void)
{
Tensor3DIterator src_iter = CONVERT_TO_TENSOR3D_ITERATOR(src_attrs, src_shift);
Tensor3DIterator dst_iter = CONVERT_TO_TENSOR3D_ITERATOR(dst_attrs, dst_shift);
VectorIterator mean_iter = CONVERT_TO_VECTOR_ITERATOR(mean_attrs, mean_shift);
VectorIterator sd_iter = CONVERT_TO_VECTOR_ITERATOR(sd_attrs, sd_shift);
vec4 unpacked_s[3];
vec4 tmp;
vec4 result;
uint current_slice = gl_GlobalInvocationID.z;
unpacked_s[0] = LOAD_UNPACK4_CURRENT_ITEM_HALF(src_ptr, src_iter);
unpacked_s[1] = LOAD_UNPACK4_HALF(mean_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(mean_iter, current_slice * mean_attrs.stride_x));
unpacked_s[2] = LOAD_UNPACK4_HALF(sd_ptr, TENSOR_OFFSET_ADVANCE_IN_BYTES(sd_iter, current_slice * sd_attrs.stride_x));
if((current_slice % uint(4)) == uint(0))
{
tmp = unpacked_s[0] - unpacked_s[1].x;
result = tmp / unpacked_s[2].x;
STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, result);
}
else if((current_slice % uint(4)) == uint(1))
{
tmp = unpacked_s[0] - unpacked_s[1].y;
result = tmp / unpacked_s[2].y;
STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, result);
}
else if((current_slice % uint(4)) == uint(2))
{
tmp = unpacked_s[0] - unpacked_s[1].z;
result = tmp / unpacked_s[2].z;
STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, result);
}
else
{
tmp = unpacked_s[0] - unpacked_s[1].w;
result = tmp / unpacked_s[2].w;
STORE_PACK4_CURRENT_ITEM_HALF(dst_ptr, dst_iter, result);
}
}
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