/* * 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); } }