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-rw-r--r--third_party/aom/av1/decoder/generic_decoder.c110
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diff --git a/third_party/aom/av1/decoder/generic_decoder.c b/third_party/aom/av1/decoder/generic_decoder.c
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-/*
- * Copyright (c) 2001-2016, 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.
- */
-
-/* clang-format off */
-
-#ifdef HAVE_CONFIG_H
-# include "config.h"
-#endif
-
-#include <stdio.h>
-
-#include "aom_dsp/bitreader.h"
-#include "av1/common/generic_code.h"
-#include "av1/common/odintrin.h"
-#include "pvq_decoder.h"
-
-/** Decodes a value from 0 to N-1 (with N up to 16) based on a cdf and adapts
- * the cdf accordingly.
- *
- * @param [in,out] r multi-symbol entropy decoder
- * @param [in,out] cdf CDF of the variable (Q15)
- * @param [in] n number of values possible
- * @param [in,out] count number of symbols encoded with that cdf so far
- * @param [in] rate adaptation rate shift (smaller is faster)
- * @return decoded variable
- */
-int aom_decode_cdf_adapt_q15_(aom_reader *r, uint16_t *cdf, int n,
- int *count, int rate ACCT_STR_PARAM) {
- int val;
- int i;
- if (*count == 0) {
- int ft;
- ft = cdf[n - 1];
- for (i = 0; i < n; i++) {
- cdf[i] = AOM_ICDF(cdf[i]*32768/ft);
- }
- }
- val = aom_read_cdf(r, cdf, n, ACCT_STR_NAME);
- aom_cdf_adapt_q15(val, cdf, n, count, rate);
- return val;
-}
-
-/** Encodes a random variable using a "generic" model, assuming that the
- * distribution is one-sided (zero and up), has a single mode, and decays
- * exponentially past the model.
- *
- * @param [in,out] r multi-symbol entropy decoder
- * @param [in,out] model generic probability model
- * @param [in] x variable being encoded
- * @param [in,out] ExQ16 expectation of x (adapted)
- * @param [in] integration integration period of ExQ16 (leaky average over
- * 1<<integration samples)
- *
- * @retval decoded variable x
- */
-int generic_decode_(aom_reader *r, generic_encoder *model,
- int *ex_q16, int integration ACCT_STR_PARAM) {
- int lg_q1;
- int shift;
- int id;
- uint16_t *cdf;
- int xs;
- int lsb;
- int x;
- lsb = 0;
- lg_q1 = log_ex(*ex_q16);
- /* If expectation is too large, shift x to ensure that
- all we have past xs=15 is the exponentially decaying tail
- of the distribution. */
- shift = OD_MAXI(0, (lg_q1 - 5) >> 1);
- /* Choose the cdf to use: we have two per "octave" of ExQ16. */
- id = OD_MINI(GENERIC_TABLES - 1, lg_q1);
- cdf = model->cdf[id];
- xs = aom_read_symbol_pvq(r, cdf, 16, ACCT_STR_NAME);
- if (xs == 15) {
- int e;
- unsigned decay;
- /* Estimate decay based on the assumption that the distribution is close
- to Laplacian for large values. We should probably have an adaptive
- estimate instead. Note: The 2* is a kludge that's not fully understood
- yet. */
- OD_ASSERT(*ex_q16 < INT_MAX >> 1);
- e = ((2**ex_q16 >> 8) + (1 << shift >> 1)) >> shift;
- decay = OD_MAXI(2, OD_MINI(254, 256*e/(e + 256)));
- xs += aom_laplace_decode_special(r, decay, ACCT_STR_NAME);
- }
- if (shift != 0) {
- int special;
- /* Because of the rounding, there's only half the number of possibilities
- for xs=0 */
- special = xs == 0;
- if (shift - special > 0) {
- lsb = aom_read_literal(r, shift - special, ACCT_STR_NAME);
- }
- lsb -= !special << (shift - 1);
- }
- x = (xs << shift) + lsb;
- generic_model_update(ex_q16, x, integration);
- OD_LOG((OD_LOG_ENTROPY_CODER, OD_LOG_DEBUG,
- "dec: %d %d %d %d %d %x", *ex_q16, x, shift, id, xs, dec->rng));
- return x;
-}