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| -rw-r--r-- | third_party/aom/av1/encoder/intra_mode_search_utils.h | 690 |
1 files changed, 690 insertions, 0 deletions
diff --git a/third_party/aom/av1/encoder/intra_mode_search_utils.h b/third_party/aom/av1/encoder/intra_mode_search_utils.h new file mode 100644 index 0000000000..107c2236f8 --- /dev/null +++ b/third_party/aom/av1/encoder/intra_mode_search_utils.h @@ -0,0 +1,690 @@ +/* + * Copyright (c) 2020, Alliance for Open Media. All rights reserved + * + * This source code is subject to the terms of the BSD 2 Clause License and + * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License + * was not distributed with this source code in the LICENSE file, you can + * obtain it at www.aomedia.org/license/software. If the Alliance for Open + * Media Patent License 1.0 was not distributed with this source code in the + * PATENTS file, you can obtain it at www.aomedia.org/license/patent. + */ + +/*!\file + * \brief Defines utility functions used in intra mode search. + * + * This includes rdcost estimations, histogram based pruning, etc. + */ +#ifndef AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_ +#define AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_ + +#include "av1/common/enums.h" +#include "av1/common/pred_common.h" +#include "av1/common/reconintra.h" + +#include "av1/encoder/encoder.h" +#include "av1/encoder/encodeframe.h" +#include "av1/encoder/model_rd.h" +#include "av1/encoder/palette.h" +#include "av1/encoder/hybrid_fwd_txfm.h" + +#ifdef __cplusplus +extern "C" { +#endif + +/*!\cond */ +// Macro for computing the speed-preset dependent threshold which is used for +// deciding whether to enable/disable variance calculations in +// intra_rd_variance_factor(). +#define INTRA_RD_VAR_THRESH(X) (1.0 - (0.25 * (X))) + +#define BINS 32 +static const float av1_intra_hog_model_bias[DIRECTIONAL_MODES] = { + 0.450578f, 0.695518f, -0.717944f, -0.639894f, + -0.602019f, -0.453454f, 0.055857f, -0.465480f, +}; + +static const float av1_intra_hog_model_weights[BINS * DIRECTIONAL_MODES] = { + -3.076402f, -3.757063f, -3.275266f, -3.180665f, -3.452105f, -3.216593f, + -2.871212f, -3.134296f, -1.822324f, -2.401411f, -1.541016f, -1.195322f, + -0.434156f, 0.322868f, 2.260546f, 3.368715f, 3.989290f, 3.308487f, + 2.277893f, 0.923793f, 0.026412f, -0.385174f, -0.718622f, -1.408867f, + -1.050558f, -2.323941f, -2.225827f, -2.585453f, -3.054283f, -2.875087f, + -2.985709f, -3.447155f, 3.758139f, 3.204353f, 2.170998f, 0.826587f, + -0.269665f, -0.702068f, -1.085776f, -2.175249f, -1.623180f, -2.975142f, + -2.779629f, -3.190799f, -3.521900f, -3.375480f, -3.319355f, -3.897389f, + -3.172334f, -3.594528f, -2.879132f, -2.547777f, -2.921023f, -2.281844f, + -1.818988f, -2.041771f, -0.618268f, -1.396458f, -0.567153f, -0.285868f, + -0.088058f, 0.753494f, 2.092413f, 3.215266f, -3.300277f, -2.748658f, + -2.315784f, -2.423671f, -2.257283f, -2.269583f, -2.196660f, -2.301076f, + -2.646516f, -2.271319f, -2.254366f, -2.300102f, -2.217960f, -2.473300f, + -2.116866f, -2.528246f, -3.314712f, -1.701010f, -0.589040f, -0.088077f, + 0.813112f, 1.702213f, 2.653045f, 3.351749f, 3.243554f, 3.199409f, + 2.437856f, 1.468854f, 0.533039f, -0.099065f, -0.622643f, -2.200732f, + -4.228861f, -2.875263f, -1.273956f, -0.433280f, 0.803771f, 1.975043f, + 3.179528f, 3.939064f, 3.454379f, 3.689386f, 3.116411f, 1.970991f, + 0.798406f, -0.628514f, -1.252546f, -2.825176f, -4.090178f, -3.777448f, + -3.227314f, -3.479403f, -3.320569f, -3.159372f, -2.729202f, -2.722341f, + -3.054913f, -2.742923f, -2.612703f, -2.662632f, -2.907314f, -3.117794f, + -3.102660f, -3.970972f, -4.891357f, -3.935582f, -3.347758f, -2.721924f, + -2.219011f, -1.702391f, -0.866529f, -0.153743f, 0.107733f, 1.416882f, + 2.572884f, 3.607755f, 3.974820f, 3.997783f, 2.970459f, 0.791687f, + -1.478921f, -1.228154f, -1.216955f, -1.765932f, -1.951003f, -1.985301f, + -1.975881f, -1.985593f, -2.422371f, -2.419978f, -2.531288f, -2.951853f, + -3.071380f, -3.277027f, -3.373539f, -4.462010f, -0.967888f, 0.805524f, + 2.794130f, 3.685984f, 3.745195f, 3.252444f, 2.316108f, 1.399146f, + -0.136519f, -0.162811f, -1.004357f, -1.667911f, -1.964662f, -2.937579f, + -3.019533f, -3.942766f, -5.102767f, -3.882073f, -3.532027f, -3.451956f, + -2.944015f, -2.643064f, -2.529872f, -2.077290f, -2.809965f, -1.803734f, + -1.783593f, -1.662585f, -1.415484f, -1.392673f, -0.788794f, -1.204819f, + -1.998864f, -1.182102f, -0.892110f, -1.317415f, -1.359112f, -1.522867f, + -1.468552f, -1.779072f, -2.332959f, -2.160346f, -2.329387f, -2.631259f, + -2.744936f, -3.052494f, -2.787363f, -3.442548f, -4.245075f, -3.032172f, + -2.061609f, -1.768116f, -1.286072f, -0.706587f, -0.192413f, 0.386938f, + 0.716997f, 1.481393f, 2.216702f, 2.737986f, 3.109809f, 3.226084f, + 2.490098f, -0.095827f, -3.864816f, -3.507248f, -3.128925f, -2.908251f, + -2.883836f, -2.881411f, -2.524377f, -2.624478f, -2.399573f, -2.367718f, + -1.918255f, -1.926277f, -1.694584f, -1.723790f, -0.966491f, -1.183115f, + -1.430687f, 0.872896f, 2.766550f, 3.610080f, 3.578041f, 3.334928f, + 2.586680f, 1.895721f, 1.122195f, 0.488519f, -0.140689f, -0.799076f, + -1.222860f, -1.502437f, -1.900969f, -3.206816f, +}; + +static const NN_CONFIG av1_intra_hog_model_nnconfig = { + BINS, // num_inputs + DIRECTIONAL_MODES, // num_outputs + 0, // num_hidden_layers + { 0 }, + { + av1_intra_hog_model_weights, + }, + { + av1_intra_hog_model_bias, + }, +}; + +#define FIX_PREC_BITS (16) +static AOM_INLINE int get_hist_bin_idx(int dx, int dy) { + const int32_t ratio = (dy * (1 << FIX_PREC_BITS)) / dx; + + // Find index by bisection + static const int thresholds[BINS] = { + -1334015, -441798, -261605, -183158, -138560, -109331, -88359, -72303, + -59392, -48579, -39272, -30982, -23445, -16400, -9715, -3194, + 3227, 9748, 16433, 23478, 31015, 39305, 48611, 59425, + 72336, 88392, 109364, 138593, 183191, 261638, 441831, INT32_MAX + }; + + int lo_idx = 0, hi_idx = BINS - 1; + // Divide into segments of size 8 gives better performance than binary search + // here. + if (ratio <= thresholds[7]) { + lo_idx = 0; + hi_idx = 7; + } else if (ratio <= thresholds[15]) { + lo_idx = 8; + hi_idx = 15; + } else if (ratio <= thresholds[23]) { + lo_idx = 16; + hi_idx = 23; + } else { + lo_idx = 24; + hi_idx = 31; + } + + for (int idx = lo_idx; idx <= hi_idx; idx++) { + if (ratio <= thresholds[idx]) { + return idx; + } + } + assert(0 && "No valid histogram bin found!"); + return BINS - 1; +} +#undef FIX_PREC_BITS + +// Normalizes the hog data. +static AOM_INLINE void normalize_hog(float total, float *hist) { + for (int i = 0; i < BINS; ++i) hist[i] /= total; +} + +static AOM_INLINE void lowbd_generate_hog(const uint8_t *src, int stride, + int rows, int cols, float *hist) { + float total = 0.1f; + src += stride; + for (int r = 1; r < rows - 1; ++r) { + for (int c = 1; c < cols - 1; ++c) { + const uint8_t *above = &src[c - stride]; + const uint8_t *below = &src[c + stride]; + const uint8_t *left = &src[c - 1]; + const uint8_t *right = &src[c + 1]; + // Calculate gradient using Sobel filters. + const int dx = (right[-stride] + 2 * right[0] + right[stride]) - + (left[-stride] + 2 * left[0] + left[stride]); + const int dy = (below[-1] + 2 * below[0] + below[1]) - + (above[-1] + 2 * above[0] + above[1]); + if (dx == 0 && dy == 0) continue; + const int temp = abs(dx) + abs(dy); + if (!temp) continue; + total += temp; + if (dx == 0) { + hist[0] += temp / 2; + hist[BINS - 1] += temp / 2; + } else { + const int idx = get_hist_bin_idx(dx, dy); + assert(idx >= 0 && idx < BINS); + hist[idx] += temp; + } + } + src += stride; + } + + normalize_hog(total, hist); +} + +// Computes and stores pixel level gradient information of a given superblock +// for LBD encode. +static AOM_INLINE void lowbd_compute_gradient_info_sb(MACROBLOCK *const x, + BLOCK_SIZE sb_size, + PLANE_TYPE plane) { + PixelLevelGradientInfo *const grad_info_sb = + x->pixel_gradient_info + plane * MAX_SB_SQUARE; + const uint8_t *src = x->plane[plane].src.buf; + const int stride = x->plane[plane].src.stride; + const int ss_x = x->e_mbd.plane[plane].subsampling_x; + const int ss_y = x->e_mbd.plane[plane].subsampling_y; + const int sb_height = block_size_high[sb_size] >> ss_y; + const int sb_width = block_size_wide[sb_size] >> ss_x; + src += stride; + for (int r = 1; r < sb_height - 1; ++r) { + for (int c = 1; c < sb_width - 1; ++c) { + const uint8_t *above = &src[c - stride]; + const uint8_t *below = &src[c + stride]; + const uint8_t *left = &src[c - 1]; + const uint8_t *right = &src[c + 1]; + // Calculate gradient using Sobel filters. + const int dx = (right[-stride] + 2 * right[0] + right[stride]) - + (left[-stride] + 2 * left[0] + left[stride]); + const int dy = (below[-1] + 2 * below[0] + below[1]) - + (above[-1] + 2 * above[0] + above[1]); + grad_info_sb[r * sb_width + c].is_dx_zero = (dx == 0); + grad_info_sb[r * sb_width + c].abs_dx_abs_dy_sum = + (uint16_t)(abs(dx) + abs(dy)); + grad_info_sb[r * sb_width + c].hist_bin_idx = + (dx != 0) ? get_hist_bin_idx(dx, dy) : -1; + } + src += stride; + } +} + +#if CONFIG_AV1_HIGHBITDEPTH +static AOM_INLINE void highbd_generate_hog(const uint8_t *src8, int stride, + int rows, int cols, float *hist) { + float total = 0.1f; + const uint16_t *src = CONVERT_TO_SHORTPTR(src8); + src += stride; + for (int r = 1; r < rows - 1; ++r) { + for (int c = 1; c < cols - 1; ++c) { + const uint16_t *above = &src[c - stride]; + const uint16_t *below = &src[c + stride]; + const uint16_t *left = &src[c - 1]; + const uint16_t *right = &src[c + 1]; + // Calculate gradient using Sobel filters. + const int dx = (right[-stride] + 2 * right[0] + right[stride]) - + (left[-stride] + 2 * left[0] + left[stride]); + const int dy = (below[-1] + 2 * below[0] + below[1]) - + (above[-1] + 2 * above[0] + above[1]); + if (dx == 0 && dy == 0) continue; + const int temp = abs(dx) + abs(dy); + if (!temp) continue; + total += temp; + if (dx == 0) { + hist[0] += temp / 2; + hist[BINS - 1] += temp / 2; + } else { + const int idx = get_hist_bin_idx(dx, dy); + assert(idx >= 0 && idx < BINS); + hist[idx] += temp; + } + } + src += stride; + } + + normalize_hog(total, hist); +} + +// Computes and stores pixel level gradient information of a given superblock +// for HBD encode. +static AOM_INLINE void highbd_compute_gradient_info_sb(MACROBLOCK *const x, + BLOCK_SIZE sb_size, + PLANE_TYPE plane) { + PixelLevelGradientInfo *const grad_info_sb = + x->pixel_gradient_info + plane * MAX_SB_SQUARE; + const uint16_t *src = CONVERT_TO_SHORTPTR(x->plane[plane].src.buf); + const int stride = x->plane[plane].src.stride; + const int ss_x = x->e_mbd.plane[plane].subsampling_x; + const int ss_y = x->e_mbd.plane[plane].subsampling_y; + const int sb_height = block_size_high[sb_size] >> ss_y; + const int sb_width = block_size_wide[sb_size] >> ss_x; + src += stride; + for (int r = 1; r < sb_height - 1; ++r) { + for (int c = 1; c < sb_width - 1; ++c) { + const uint16_t *above = &src[c - stride]; + const uint16_t *below = &src[c + stride]; + const uint16_t *left = &src[c - 1]; + const uint16_t *right = &src[c + 1]; + // Calculate gradient using Sobel filters. + const int dx = (right[-stride] + 2 * right[0] + right[stride]) - + (left[-stride] + 2 * left[0] + left[stride]); + const int dy = (below[-1] + 2 * below[0] + below[1]) - + (above[-1] + 2 * above[0] + above[1]); + grad_info_sb[r * sb_width + c].is_dx_zero = (dx == 0); + grad_info_sb[r * sb_width + c].abs_dx_abs_dy_sum = + (uint16_t)(abs(dx) + abs(dy)); + grad_info_sb[r * sb_width + c].hist_bin_idx = + (dx != 0) ? get_hist_bin_idx(dx, dy) : -1; + } + src += stride; + } +} +#endif // CONFIG_AV1_HIGHBITDEPTH + +static AOM_INLINE void generate_hog(const uint8_t *src8, int stride, int rows, + int cols, float *hist, int highbd) { +#if CONFIG_AV1_HIGHBITDEPTH + if (highbd) { + highbd_generate_hog(src8, stride, rows, cols, hist); + return; + } +#else + (void)highbd; +#endif // CONFIG_AV1_HIGHBITDEPTH + lowbd_generate_hog(src8, stride, rows, cols, hist); +} + +static AOM_INLINE void compute_gradient_info_sb(MACROBLOCK *const x, + BLOCK_SIZE sb_size, + PLANE_TYPE plane) { +#if CONFIG_AV1_HIGHBITDEPTH + if (is_cur_buf_hbd(&x->e_mbd)) { + highbd_compute_gradient_info_sb(x, sb_size, plane); + return; + } +#endif // CONFIG_AV1_HIGHBITDEPTH + lowbd_compute_gradient_info_sb(x, sb_size, plane); +} + +// Gradient caching at superblock level is allowed only if all of the following +// conditions are satisfied: +// (1) The current frame is an intra only frame +// (2) Non-RD mode decisions are not enabled +// (3) The sf partition_search_type is set to SEARCH_PARTITION +// (4) Either intra_pruning_with_hog or chroma_intra_pruning_with_hog is enabled +// +// SB level caching of gradient data may not help in speedup for the following +// cases: +// (1) Inter frames (due to early intra gating) +// (2) When partition_search_type is not SEARCH_PARTITION +// Hence, gradient data is computed at block level in such cases. +static AOM_INLINE bool is_gradient_caching_for_hog_enabled( + const AV1_COMP *const cpi) { + const SPEED_FEATURES *const sf = &cpi->sf; + return frame_is_intra_only(&cpi->common) && !sf->rt_sf.use_nonrd_pick_mode && + (sf->part_sf.partition_search_type == SEARCH_PARTITION) && + (sf->intra_sf.intra_pruning_with_hog || + sf->intra_sf.chroma_intra_pruning_with_hog); +} + +// Function to generate pixel level gradient information for a given superblock. +// Sets the flags 'is_sb_gradient_cached' for the specific plane-type if +// gradient info is generated for the same. +static AOM_INLINE void produce_gradients_for_sb(AV1_COMP *cpi, MACROBLOCK *x, + BLOCK_SIZE sb_size, int mi_row, + int mi_col) { + // Initialise flags related to hog data caching. + x->is_sb_gradient_cached[PLANE_TYPE_Y] = false; + x->is_sb_gradient_cached[PLANE_TYPE_UV] = false; + if (!is_gradient_caching_for_hog_enabled(cpi)) return; + + const SPEED_FEATURES *sf = &cpi->sf; + const int num_planes = av1_num_planes(&cpi->common); + + av1_setup_src_planes(x, cpi->source, mi_row, mi_col, num_planes, sb_size); + + if (sf->intra_sf.intra_pruning_with_hog) { + compute_gradient_info_sb(x, sb_size, PLANE_TYPE_Y); + x->is_sb_gradient_cached[PLANE_TYPE_Y] = true; + } + if (sf->intra_sf.chroma_intra_pruning_with_hog && num_planes > 1) { + compute_gradient_info_sb(x, sb_size, PLANE_TYPE_UV); + x->is_sb_gradient_cached[PLANE_TYPE_UV] = true; + } +} + +// Reuses the pixel level gradient data generated at superblock level for block +// level histogram computation. +static AOM_INLINE void generate_hog_using_gradient_cache(const MACROBLOCK *x, + int rows, int cols, + BLOCK_SIZE sb_size, + PLANE_TYPE plane, + float *hist) { + float total = 0.1f; + const int ss_x = x->e_mbd.plane[plane].subsampling_x; + const int ss_y = x->e_mbd.plane[plane].subsampling_y; + const int sb_width = block_size_wide[sb_size] >> ss_x; + + // Derive the offset from the starting of the superblock in order to locate + // the block level gradient data in the cache. + const int mi_row_in_sb = x->e_mbd.mi_row & (mi_size_high[sb_size] - 1); + const int mi_col_in_sb = x->e_mbd.mi_col & (mi_size_wide[sb_size] - 1); + const int block_offset_in_grad_cache = + sb_width * (mi_row_in_sb << (MI_SIZE_LOG2 - ss_y)) + + (mi_col_in_sb << (MI_SIZE_LOG2 - ss_x)); + const PixelLevelGradientInfo *grad_info_blk = x->pixel_gradient_info + + plane * MAX_SB_SQUARE + + block_offset_in_grad_cache; + + // Retrieve the cached gradient information and generate the histogram. + for (int r = 1; r < rows - 1; ++r) { + for (int c = 1; c < cols - 1; ++c) { + const uint16_t abs_dx_abs_dy_sum = + grad_info_blk[r * sb_width + c].abs_dx_abs_dy_sum; + if (!abs_dx_abs_dy_sum) continue; + total += abs_dx_abs_dy_sum; + const bool is_dx_zero = grad_info_blk[r * sb_width + c].is_dx_zero; + if (is_dx_zero) { + hist[0] += abs_dx_abs_dy_sum >> 1; + hist[BINS - 1] += abs_dx_abs_dy_sum >> 1; + } else { + const int8_t idx = grad_info_blk[r * sb_width + c].hist_bin_idx; + assert(idx >= 0 && idx < BINS); + hist[idx] += abs_dx_abs_dy_sum; + } + } + } + normalize_hog(total, hist); +} + +static INLINE void collect_hog_data(const MACROBLOCK *x, BLOCK_SIZE bsize, + BLOCK_SIZE sb_size, int plane, float *hog) { + const MACROBLOCKD *xd = &x->e_mbd; + const struct macroblockd_plane *const pd = &xd->plane[plane]; + const int ss_x = pd->subsampling_x; + const int ss_y = pd->subsampling_y; + const int bh = block_size_high[bsize]; + const int bw = block_size_wide[bsize]; + const int rows = + ((xd->mb_to_bottom_edge >= 0) ? bh : (xd->mb_to_bottom_edge >> 3) + bh) >> + ss_y; + const int cols = + ((xd->mb_to_right_edge >= 0) ? bw : (xd->mb_to_right_edge >> 3) + bw) >> + ss_x; + + // If gradient data is already generated at SB level, reuse the cached data. + // Otherwise, compute the data. + if (x->is_sb_gradient_cached[plane]) { + generate_hog_using_gradient_cache(x, rows, cols, sb_size, plane, hog); + } else { + const uint8_t *src = x->plane[plane].src.buf; + const int src_stride = x->plane[plane].src.stride; + generate_hog(src, src_stride, rows, cols, hog, is_cur_buf_hbd(xd)); + } + + // Scale the hog so the luma and chroma are on the same scale + for (int b = 0; b < BINS; ++b) { + hog[b] *= (1 + ss_x) * (1 + ss_y); + } +} + +static AOM_INLINE void prune_intra_mode_with_hog( + const MACROBLOCK *x, BLOCK_SIZE bsize, BLOCK_SIZE sb_size, float th, + uint8_t *directional_mode_skip_mask, int is_chroma) { + const int plane = is_chroma ? AOM_PLANE_U : AOM_PLANE_Y; + float hist[BINS] = { 0.0f }; + collect_hog_data(x, bsize, sb_size, plane, hist); + + // Make prediction for each of the mode + float scores[DIRECTIONAL_MODES] = { 0.0f }; + av1_nn_predict(hist, &av1_intra_hog_model_nnconfig, 1, scores); + for (UV_PREDICTION_MODE uv_mode = UV_V_PRED; uv_mode <= UV_D67_PRED; + uv_mode++) { + if (scores[uv_mode - UV_V_PRED] <= th) { + directional_mode_skip_mask[uv_mode] = 1; + } + } +} +#undef BINS + +int av1_calc_normalized_variance(aom_variance_fn_t vf, const uint8_t *const buf, + const int stride, const int is_hbd); + +// Returns whether caching of source variance for 4x4 sub-blocks is allowed. +static AOM_INLINE bool is_src_var_for_4x4_sub_blocks_caching_enabled( + const AV1_COMP *const cpi) { + const SPEED_FEATURES *const sf = &cpi->sf; + if (cpi->oxcf.mode != ALLINTRA) return false; + + if (sf->part_sf.partition_search_type == SEARCH_PARTITION) return true; + + if (INTRA_RD_VAR_THRESH(cpi->oxcf.speed) <= 0 || + (sf->rt_sf.use_nonrd_pick_mode && !sf->rt_sf.hybrid_intra_pickmode)) + return false; + + return true; +} + +// Initialize the members of Block4x4VarInfo structure to -1 at the start +// of every superblock. +static AOM_INLINE void init_src_var_info_of_4x4_sub_blocks( + const AV1_COMP *const cpi, Block4x4VarInfo *src_var_info_of_4x4_sub_blocks, + const BLOCK_SIZE sb_size) { + if (!is_src_var_for_4x4_sub_blocks_caching_enabled(cpi)) return; + + const int mi_count_in_sb = mi_size_wide[sb_size] * mi_size_high[sb_size]; + for (int i = 0; i < mi_count_in_sb; i++) { + src_var_info_of_4x4_sub_blocks[i].var = -1; + src_var_info_of_4x4_sub_blocks[i].log_var = -1.0; + } +} + +// Returns the cost needed to send a uniformly distributed r.v. +static AOM_INLINE int write_uniform_cost(int n, int v) { + const int l = get_unsigned_bits(n); + const int m = (1 << l) - n; + if (l == 0) return 0; + if (v < m) + return av1_cost_literal(l - 1); + else + return av1_cost_literal(l); +} +/*!\endcond */ + +/*!\brief Returns the rate cost for luma prediction mode info of intra blocks. + * + * \callergraph + */ +static AOM_INLINE int intra_mode_info_cost_y(const AV1_COMP *cpi, + const MACROBLOCK *x, + const MB_MODE_INFO *mbmi, + BLOCK_SIZE bsize, int mode_cost, + int discount_color_cost) { + int total_rate = mode_cost; + const ModeCosts *mode_costs = &x->mode_costs; + const int use_palette = mbmi->palette_mode_info.palette_size[0] > 0; + const int use_filter_intra = mbmi->filter_intra_mode_info.use_filter_intra; + const int use_intrabc = mbmi->use_intrabc; + // Can only activate one mode. + assert(((mbmi->mode != DC_PRED) + use_palette + use_intrabc + + use_filter_intra) <= 1); + const int try_palette = av1_allow_palette( + cpi->common.features.allow_screen_content_tools, mbmi->bsize); + if (try_palette && mbmi->mode == DC_PRED) { + const MACROBLOCKD *xd = &x->e_mbd; + const int bsize_ctx = av1_get_palette_bsize_ctx(bsize); + const int mode_ctx = av1_get_palette_mode_ctx(xd); + total_rate += + mode_costs->palette_y_mode_cost[bsize_ctx][mode_ctx][use_palette]; + if (use_palette) { + const uint8_t *const color_map = xd->plane[0].color_index_map; + int block_width, block_height, rows, cols; + av1_get_block_dimensions(bsize, 0, xd, &block_width, &block_height, &rows, + &cols); + const int plt_size = mbmi->palette_mode_info.palette_size[0]; + int palette_mode_cost = + mode_costs + ->palette_y_size_cost[bsize_ctx][plt_size - PALETTE_MIN_SIZE] + + write_uniform_cost(plt_size, color_map[0]); + uint16_t color_cache[2 * PALETTE_MAX_SIZE]; + const int n_cache = av1_get_palette_cache(xd, 0, color_cache); + palette_mode_cost += + av1_palette_color_cost_y(&mbmi->palette_mode_info, color_cache, + n_cache, cpi->common.seq_params->bit_depth); + if (!discount_color_cost) + palette_mode_cost += + av1_cost_color_map(x, 0, bsize, mbmi->tx_size, PALETTE_MAP); + + total_rate += palette_mode_cost; + } + } + if (av1_filter_intra_allowed(&cpi->common, mbmi)) { + total_rate += mode_costs->filter_intra_cost[mbmi->bsize][use_filter_intra]; + if (use_filter_intra) { + total_rate += + mode_costs->filter_intra_mode_cost[mbmi->filter_intra_mode_info + .filter_intra_mode]; + } + } + if (av1_is_directional_mode(mbmi->mode)) { + if (av1_use_angle_delta(bsize)) { + total_rate += + mode_costs->angle_delta_cost[mbmi->mode - V_PRED] + [MAX_ANGLE_DELTA + + mbmi->angle_delta[PLANE_TYPE_Y]]; + } + } + if (av1_allow_intrabc(&cpi->common)) + total_rate += mode_costs->intrabc_cost[use_intrabc]; + return total_rate; +} + +/*!\brief Return the rate cost for chroma prediction mode info of intra blocks. + * + * \callergraph + */ +static AOM_INLINE int intra_mode_info_cost_uv(const AV1_COMP *cpi, + const MACROBLOCK *x, + const MB_MODE_INFO *mbmi, + BLOCK_SIZE bsize, int mode_cost) { + int total_rate = mode_cost; + const ModeCosts *mode_costs = &x->mode_costs; + const int use_palette = mbmi->palette_mode_info.palette_size[1] > 0; + const UV_PREDICTION_MODE uv_mode = mbmi->uv_mode; + // Can only activate one mode. + assert(((uv_mode != UV_DC_PRED) + use_palette + mbmi->use_intrabc) <= 1); + + const int try_palette = av1_allow_palette( + cpi->common.features.allow_screen_content_tools, mbmi->bsize); + if (try_palette && uv_mode == UV_DC_PRED) { + const PALETTE_MODE_INFO *pmi = &mbmi->palette_mode_info; + total_rate += + mode_costs->palette_uv_mode_cost[pmi->palette_size[0] > 0][use_palette]; + if (use_palette) { + const int bsize_ctx = av1_get_palette_bsize_ctx(bsize); + const int plt_size = pmi->palette_size[1]; + const MACROBLOCKD *xd = &x->e_mbd; + const uint8_t *const color_map = xd->plane[1].color_index_map; + int palette_mode_cost = + mode_costs + ->palette_uv_size_cost[bsize_ctx][plt_size - PALETTE_MIN_SIZE] + + write_uniform_cost(plt_size, color_map[0]); + uint16_t color_cache[2 * PALETTE_MAX_SIZE]; + const int n_cache = av1_get_palette_cache(xd, 1, color_cache); + palette_mode_cost += av1_palette_color_cost_uv( + pmi, color_cache, n_cache, cpi->common.seq_params->bit_depth); + palette_mode_cost += + av1_cost_color_map(x, 1, bsize, mbmi->tx_size, PALETTE_MAP); + total_rate += palette_mode_cost; + } + } + const PREDICTION_MODE intra_mode = get_uv_mode(uv_mode); + if (av1_is_directional_mode(intra_mode)) { + if (av1_use_angle_delta(bsize)) { + total_rate += + mode_costs->angle_delta_cost[intra_mode - V_PRED] + [mbmi->angle_delta[PLANE_TYPE_UV] + + MAX_ANGLE_DELTA]; + } + } + return total_rate; +} + +/*!\cond */ +// Makes a quick intra prediction and estimate the rdcost with a model without +// going through the whole txfm/quantize/itxfm process. +static int64_t intra_model_rd(const AV1_COMMON *cm, MACROBLOCK *const x, + int plane, BLOCK_SIZE plane_bsize, + TX_SIZE tx_size, int use_hadamard) { + MACROBLOCKD *const xd = &x->e_mbd; + const BitDepthInfo bd_info = get_bit_depth_info(xd); + int row, col; + assert(!is_inter_block(xd->mi[0])); + const int stepr = tx_size_high_unit[tx_size]; + const int stepc = tx_size_wide_unit[tx_size]; + const int txbw = tx_size_wide[tx_size]; + const int txbh = tx_size_high[tx_size]; + const int max_blocks_wide = max_block_wide(xd, plane_bsize, plane); + const int max_blocks_high = max_block_high(xd, plane_bsize, plane); + int64_t satd_cost = 0; + struct macroblock_plane *p = &x->plane[plane]; + struct macroblockd_plane *pd = &xd->plane[plane]; + // Prediction. + for (row = 0; row < max_blocks_high; row += stepr) { + for (col = 0; col < max_blocks_wide; col += stepc) { + av1_predict_intra_block_facade(cm, xd, plane, col, row, tx_size); + // Here we use p->src_diff and p->coeff as temporary buffers for + // prediction residue and transform coefficients. The buffers are only + // used in this for loop, therefore we don't need to properly add offset + // to the buffers. + av1_subtract_block( + bd_info, txbh, txbw, p->src_diff, block_size_wide[plane_bsize], + p->src.buf + (((row * p->src.stride) + col) << 2), p->src.stride, + pd->dst.buf + (((row * pd->dst.stride) + col) << 2), pd->dst.stride); + av1_quick_txfm(use_hadamard, tx_size, bd_info, p->src_diff, + block_size_wide[plane_bsize], p->coeff); + satd_cost += aom_satd(p->coeff, tx_size_2d[tx_size]); + } + } + return satd_cost; +} +/*!\endcond */ + +/*!\brief Estimate the luma rdcost of a given intra mode and try to prune it. + * + * \ingroup intra_mode_search + * \callergraph + * This function first makes a quick luma prediction and estimates the rdcost + * with a model without going through the txfm, then try to prune the current + * mode if the new estimate y_rd > 1.25 * best_model_rd. + * + * \return Returns 1 if the given mode is prune; 0 otherwise. + */ +static AOM_INLINE int model_intra_yrd_and_prune(const AV1_COMP *const cpi, + MACROBLOCK *x, BLOCK_SIZE bsize, + int64_t *best_model_rd) { + const TX_SIZE tx_size = AOMMIN(TX_32X32, max_txsize_lookup[bsize]); + const int plane = 0; + const AV1_COMMON *cm = &cpi->common; + const int64_t this_model_rd = + intra_model_rd(cm, x, plane, bsize, tx_size, /*use_hadamard=*/1); + if (*best_model_rd != INT64_MAX && + this_model_rd > *best_model_rd + (*best_model_rd >> 2)) { + return 1; + } else if (this_model_rd < *best_model_rd) { + *best_model_rd = this_model_rd; + } + return 0; +} + +#ifdef __cplusplus +} // extern "C" +#endif + +#endif // AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_ |