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320 lines
10 KiB
320 lines
10 KiB
/******************************************************************************
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*
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* Copyright (C) 2018 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at:
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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*****************************************************************************
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* Originally developed and contributed by Ittiam Systems Pvt. Ltd, Bangalore
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*/
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/*!
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******************************************************************************
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* \file hme_err_compute.h
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*
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* \brief
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* contains prototypes for functions that compute error or best results or
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* return fxn ptrs for the same.
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*
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* \date
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* 18/09/2012
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*
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* \author
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* Ittiam
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*
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******************************************************************************
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*/
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#ifndef _HME_ERR_COMPUTE_H_
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#define _HME_ERR_COMPUTE_H_
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/*****************************************************************************/
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/* Constant Macros */
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/*****************************************************************************/
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#define NUM_4X4 16
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#define NUM_4X4_IN_8x8 4
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#define NUM_4X4_IN_16x16 16
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#define NUM_8X8_IN_16x16 4
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#define NUM_8X8_IN_32x32 16
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#define NUM_8X8_IN_64x64 64
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#define NUM_16X16_IN_64x64 16
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#define NUM_ROWS_IN_4X4 4
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#define NUM_PIXELS_IN_ROW 4
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#define NUM_CANDIDATES_IN_GRID 9
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// 0 => best + good;
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// 1 => 1st and 2nd best;
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// good => worse or equal to second best
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#define BESTEST 0
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#define COST(a, b, c, d, e) (a)
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/*****************************************************************************/
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/* Functions */
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/*****************************************************************************/
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void hme_evalsad_pt_npu_MxN_16bit(err_prms_t *ps_prms);
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#define compute_sad_16bit hme_evalsad_pt_npu_MxN_16bit
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/**
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********************************************************************************
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* @fn S32 hme_update_results_grid_pu_bestn(result_upd_prms_t *ps_result_prms);
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*
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* @brief Updates the best N results based on a grid SAD for enabled partitions
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*
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* @param[in,out] ps_result_prms : contains parametrs pertaining to the results
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*
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* @return None
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********************************************************************************
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*/
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void hme_update_results_grid_pu_bestn(result_upd_prms_t *ps_result_prms);
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void hme_update_results_grid_pu_bestn_xtreme_speed(result_upd_prms_t *ps_result_prms);
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/**
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********************************************************************************
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* @fn hme_update_results_grid_pu_bestn_no_encode(result_upd_prms_t *ps_result_prms)
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*
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* @brief Updates results for the case where 1 best result is to be updated
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* for a given pt, for several parts
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* Note : The function is replicated for CLIPing the cost to 16bit to make
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* bit match with SIMD version
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*
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* @param[in] result_upd_prms_t : Contains the input parameters to this fxn
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*
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* @return The result_upd_prms_t structure is updated for all the active
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* parts in case the current candt has results for any given part
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* that is the best result for that part
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********************************************************************************
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*/
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void hme_update_results_grid_pu_bestn_no_encode(result_upd_prms_t *ps_result_prms);
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/**
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********************************************************************************
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* @fn hme_get_result_fxn(i4_grid_mask, i4_part_mask, i4_num_results)
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*
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* @brief Implements predictive search with square grid refinement. In this
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* case, the square grid is of step 1 always. since this is considered
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* to be more of a refinement search
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*
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* @param[in] i4_grid_mask : Mask containing which of 9 grid pts active
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*
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* @param[in] i4_part_mask : Mask containing which of the 17 parts active
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*
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* @param[in] i4_num_results: Number of active results
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*
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* @return Pointer to the appropriate result update function
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* (type PF_RESULT_FXN_T)
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********************************************************************************
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*/
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PF_RESULT_FXN_T hme_get_result_fxn(S32 i4_grid_mask, S32 i4_part_mask, S32 i4_num_results);
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void compute_satd_16bit(err_prms_t *ps_prms);
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void compute_satd_8bit(err_prms_t *ps_prms);
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void compute_sad_16bit(err_prms_t *ps_prms);
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S32 compute_mv_cost(search_node_t *ps_search_node, pred_ctxt_t *ps_pred_ctxt, BLK_SIZE_T e_blk_size);
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void hme_init_pred_ctxt_no_encode(
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pred_ctxt_t *ps_pred_ctxt,
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search_results_t *ps_search_results,
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search_node_t *ps_top_candts,
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search_node_t *ps_left_candts,
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search_node_t **pps_proj_coloc_candts,
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search_node_t *ps_coloc_candts,
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search_node_t *ps_zeromv_candt,
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S32 pred_lx,
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S32 lambda,
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S32 lambda_q_shift,
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U08 **ppu1_ref_bits_tlu,
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S16 *pi2_ref_scf);
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void hme_init_pred_ctxt_encode(
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pred_ctxt_t *ps_pred_ctxt,
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search_results_t *ps_search_results,
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search_node_t *ps_coloc_candts,
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search_node_t *ps_zeromv_candt,
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mv_grid_t *ps_mv_grid,
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S32 pred_lx,
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S32 lambda,
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S32 lambda_q_shift,
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U08 **ppu1_ref_bits_tlu,
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S16 *pi2_ref_scf);
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/**
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********************************************************************************
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* @fn compute_mv_cost_coarse(search_node_t *ps_node,
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* pred_ctxt_t *ps_pred_ctxt,
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* PART_ID_T e_part_id)
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*
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* @brief MV cost for coarse explicit search in coarsest layer
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*
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* @param[in] ps_node: search node having mv and ref id for which to eval cost
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*
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* @param[in] ps_pred_ctxt : mv pred context
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*
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* @param[in] e_part_id : Partition id.
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*
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* @return Cost value
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********************************************************************************
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*/
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S32 compute_mv_cost_coarse(
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search_node_t *ps_node, pred_ctxt_t *ps_pred_ctxt, PART_ID_T e_part_id, S32 inp_mv_pel);
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/**
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********************************************************************************
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* @fn compute_mv_cost_coarse(search_node_t *ps_node,
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* pred_ctxt_t *ps_pred_ctxt,
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* PART_ID_T e_part_id)
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*
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* @brief MV cost for coarse explicit search in coarsest layer
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*
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* @param[in] ps_node: search node having mv and ref id for which to eval cost
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*
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* @param[in] ps_pred_ctxt : mv pred context
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*
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* @param[in] e_part_id : Partition id.
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*
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* @return Cost value
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********************************************************************************
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*/
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S32 compute_mv_cost_coarse_high_speed(
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search_node_t *ps_node, pred_ctxt_t *ps_pred_ctxt, PART_ID_T e_part_id, S32 inp_mv_pel);
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/**
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********************************************************************************
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* @fn compute_mv_cost_coarse(search_node_t *ps_node,
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* pred_ctxt_t *ps_pred_ctxt,
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* PART_ID_T e_part_id)
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*
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* @brief MV cost for coarse explicit search in coarsest layer
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*
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* @param[in] ps_node: search node having mv and ref id for which to eval cost
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*
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* @param[in] ps_pred_ctxt : mv pred context
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*
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* @param[in] e_part_id : Partition id.
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*
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* @return Cost value
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********************************************************************************
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*/
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S32 compute_mv_cost_refine(
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search_node_t *ps_node, pred_ctxt_t *ps_pred_ctxt, PART_ID_T e_part_id, S32 inp_mv_pel);
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/**
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********************************************************************************
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* @fn compute_mv_cost_explicit(search_node_t *ps_node,
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* pred_ctxt_t *ps_pred_ctxt,
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* PART_ID_T e_part_id)
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*
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* @brief MV cost for explicit search in layers not encoded
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*
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* @param[in] ps_node: search node having mv and ref id for which to eval cost
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*
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* @param[in] ps_pred_ctxt : mv pred context
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*
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* @param[in] e_part_id : Partition id.
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*
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* @return Cost value
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********************************************************************************
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*/
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S32 compute_mv_cost_explicit(
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search_node_t *ps_node, pred_ctxt_t *ps_pred_ctxt, PART_ID_T e_part_id, S32 inp_mv_pel);
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S32 compute_mv_cost_implicit(
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search_node_t *ps_node, pred_ctxt_t *ps_pred_ctxt, PART_ID_T e_part_id, S32 inp_mv_pel);
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S32 compute_mv_cost_implicit_high_speed(
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search_node_t *ps_node, pred_ctxt_t *ps_pred_ctxt, PART_ID_T e_part_id, S32 inp_mv_pel);
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S32 compute_mv_cost_implicit_high_speed_modified(
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search_node_t *ps_node, pred_ctxt_t *ps_pred_ctxt, PART_ID_T e_part_id, S32 inp_mv_pel);
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void hme_evalsad_grid_pu_16x16(err_prms_t *ps_prms);
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void hme_evalsatd_pt_pu_8x8(err_prms_t *ps_prms);
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WORD32 hme_evalsatd_pt_pu_8x8_tu_rec(
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err_prms_t *ps_prms,
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WORD32 lambda,
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WORD32 lambda_q_shift,
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WORD32 i4_frm_qstep,
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me_func_selector_t *ps_func_selector);
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void hme_evalsatd_update_1_best_result_pt_pu_16x16(
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err_prms_t *ps_prms, result_upd_prms_t *ps_result_prms);
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WORD32 hme_evalsatd_pt_pu_32x32_tu_rec(
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err_prms_t *ps_prms,
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WORD32 lambda,
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WORD32 lambda_q_shift,
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WORD32 i4_frm_qstep,
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me_func_selector_t *ps_func_selector);
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void hme_evalsatd_pt_pu_32x32(err_prms_t *ps_prms);
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void hme_evalsatd_pt_pu_64x64(err_prms_t *ps_prms);
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WORD32 hme_evalsatd_pt_pu_64x64_tu_rec(
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err_prms_t *ps_prms,
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WORD32 lambda,
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WORD32 lambda_q_shift,
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WORD32 i4_frm_qstep,
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me_func_selector_t *ps_func_selector);
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WORD32 hme_evalsatd_pt_pu_16x16_tu_rec(
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err_prms_t *ps_prms,
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WORD32 lambda,
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WORD32 lambda_q_shift,
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WORD32 i4_frm_qstep,
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me_func_selector_t *ps_func_selector);
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void ihevce_had_32x32_r(
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UWORD8 *pu1_src,
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WORD32 src_strd,
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UWORD8 *pu1_pred,
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WORD32 pred_strd,
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WORD16 *pi2_dst,
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WORD32 dst_strd,
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WORD32 **ppi4_hsad,
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WORD32 **ppi4_tu_split,
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WORD32 **ppi4_tu_early_cbf,
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WORD32 pos_x_y_4x4,
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WORD32 num_4x4_in_row,
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WORD32 lambda,
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WORD32 lambda_q_shift,
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WORD32 i4_frm_qstep,
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WORD32 i4_cur_depth,
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WORD32 i4_max_depth,
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WORD32 i4_max_tr_size,
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WORD32 *pi4_tu_split_cost,
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me_func_selector_t *ps_func_selector);
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void hme_update_results_pt_pu_best1_subpel_hs(
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err_prms_t *ps_err_prms, result_upd_prms_t *ps_result_prms);
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void hme_set_mvp_node(
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search_results_t *ps_search_results,
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search_node_t *ps_candt_prj_coloc,
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U08 u1_pred_lx,
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U08 u1_default_ref_id);
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S32 hme_cmp_nodes(search_node_t *ps_best_node1, search_node_t *ps_best_node2);
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#endif /* #ifndef _HME_SEARCH_ALGO_H_*/
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