329 lines
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329 lines
38 KiB
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<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="Source of the Rust file `/home/newkirk/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/brotli-8.0.2/src/enc/stride_eval.rs`."><title>stride_eval.rs - source</title><script>if(window.location.protocol!=="file:")document.head.insertAdjacentHTML("beforeend","SourceSerif4-Regular-6b053e98.ttf.woff2,FiraSans-Italic-81dc35de.woff2,FiraSans-Regular-0fe48ade.woff2,FiraSans-MediumItalic-ccf7e434.woff2,FiraSans-Medium-e1aa3f0a.woff2,SourceCodePro-Regular-8badfe75.ttf.woff2,SourceCodePro-Semibold-aa29a496.ttf.woff2".split(",").map(f=>`<link rel="preload" as="font" type="font/woff2"href="../../../static.files/${f}">`).join(""))</script><link rel="stylesheet" href="../../../static.files/normalize-9960930a.css"><link rel="stylesheet" href="../../../static.files/rustdoc-ca0dd0c4.css"><meta name="rustdoc-vars" data-root-path="../../../" data-static-root-path="../../../static.files/" data-current-crate="brotli" data-themes="" data-resource-suffix="" data-rustdoc-version="1.93.1 (01f6ddf75 2026-02-11) (Arch Linux rust 1:1.93.1-1)" data-channel="1.93.1" data-search-js="search-9e2438ea.js" data-stringdex-js="stringdex-a3946164.js" data-settings-js="settings-c38705f0.js" ><script src="../../../static.files/storage-e2aeef58.js"></script><script defer src="../../../static.files/src-script-813739b1.js"></script><script defer src="../../../src-files.js"></script><script defer src="../../../static.files/main-a410ff4d.js"></script><noscript><link rel="stylesheet" href="../../../static.files/noscript-263c88ec.css"></noscript><link rel="alternate icon" type="image/png" href="../../../static.files/favicon-32x32-eab170b8.png"><link rel="icon" type="image/svg+xml" href="../../../static.files/favicon-044be391.svg"></head><body class="rustdoc src"><!--[if lte IE 11]><div class="warning">This old browser is unsupported and will most likely display funky things.</div><![endif]--><nav class="sidebar"><div class="src-sidebar-title"><h2>Files</h2></div></nav><div class="sidebar-resizer" title="Drag to resize sidebar"></div><main><section id="main-content" class="content"><div class="main-heading"><h1><div class="sub-heading">brotli/enc/</div>stride_eval.rs</h1><rustdoc-toolbar></rustdoc-toolbar></div><div class="example-wrap digits-3"><pre class="rust"><code><a href=#1 id=1 data-nosnippet>1</a><span class="kw">use </span>core;
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<a href=#2 id=2 data-nosnippet>2</a>
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<a href=#3 id=3 data-nosnippet>3</a><span class="kw">use </span><span class="kw">super</span>::<span class="kw">super</span>::alloc;
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<a href=#4 id=4 data-nosnippet>4</a><span class="kw">use </span><span class="kw">super</span>::<span class="kw">super</span>::alloc::{Allocator, SliceWrapper, SliceWrapperMut};
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<a href=#5 id=5 data-nosnippet>5</a><span class="kw">use </span><span class="kw">super</span>::backward_references::BrotliEncoderParams;
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<a href=#6 id=6 data-nosnippet>6</a><span class="kw">use </span><span class="kw">super</span>::input_pair::{InputPair, InputReference, InputReferenceMut};
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<a href=#7 id=7 data-nosnippet>7</a><span class="kw">use </span><span class="kw">super</span>::interface;
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<a href=#8 id=8 data-nosnippet>8</a><span class="kw">use </span><span class="kw">super</span>::ir_interpret::{push_base, IRInterpreter};
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<a href=#9 id=9 data-nosnippet>9</a><span class="kw">use </span><span class="kw">super</span>::prior_eval::DEFAULT_SPEED;
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<a href=#10 id=10 data-nosnippet>10</a><span class="kw">use </span><span class="kw">super</span>::util::{floatX, FastLog2u16};
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<a href=#11 id=11 data-nosnippet>11</a><span class="kw">use </span><span class="kw">crate</span>::enc::combined_alloc::{alloc_default, allocate};
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<a href=#12 id=12 data-nosnippet>12</a><span class="kw">const </span>NIBBLE_PRIOR_SIZE: usize = <span class="number">16</span>;
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<a href=#13 id=13 data-nosnippet>13</a><span class="kw">pub const </span>STRIDE_PRIOR_SIZE: usize = <span class="number">256 </span>* <span class="number">256 </span>* NIBBLE_PRIOR_SIZE * <span class="number">2</span>;
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<a href=#14 id=14 data-nosnippet>14</a>
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<a href=#15 id=15 data-nosnippet>15</a><span class="kw">pub fn </span>local_init_cdfs(cdfs: <span class="kw-2">&mut </span>[u16]) {
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<a href=#16 id=16 data-nosnippet>16</a> <span class="kw">for </span>(index, item) <span class="kw">in </span>cdfs.iter_mut().enumerate() {
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<a href=#17 id=17 data-nosnippet>17</a> <span class="kw-2">*</span>item = <span class="number">4 </span>+ <span class="number">4 </span>* (index <span class="kw">as </span>u16 & <span class="number">0x0f</span>);
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<a href=#18 id=18 data-nosnippet>18</a> }
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<a href=#19 id=19 data-nosnippet>19</a>}
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<a href=#20 id=20 data-nosnippet>20</a><span class="attr">#[allow(unused_variables)]
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<a href=#21 id=21 data-nosnippet>21</a></span><span class="kw">fn </span>stride_lookup_lin(
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<a href=#22 id=22 data-nosnippet>22</a> stride_byte: u8,
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<a href=#23 id=23 data-nosnippet>23</a> selected_context: u8,
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<a href=#24 id=24 data-nosnippet>24</a> actual_context: usize,
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<a href=#25 id=25 data-nosnippet>25</a> high_nibble: <span class="prelude-ty">Option</span><u8>,
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<a href=#26 id=26 data-nosnippet>26</a>) -> usize {
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<a href=#27 id=27 data-nosnippet>27</a> <span class="kw">if let </span><span class="prelude-val">Some</span>(nibble) = high_nibble {
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<a href=#28 id=28 data-nosnippet>28</a> <span class="number">1 </span>+ <span class="number">2 </span>* (actual_context | ((stride_byte <span class="kw">as </span>usize & <span class="number">0xf</span>) << <span class="number">8</span>) | ((nibble <span class="kw">as </span>usize) << <span class="number">12</span>))
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<a href=#29 id=29 data-nosnippet>29</a> } <span class="kw">else </span>{
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<a href=#30 id=30 data-nosnippet>30</a> <span class="number">2 </span>* (actual_context | ((stride_byte <span class="kw">as </span>usize) << <span class="number">8</span>))
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<a href=#31 id=31 data-nosnippet>31</a> }
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<a href=#32 id=32 data-nosnippet>32</a>}
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<a href=#33 id=33 data-nosnippet>33</a>
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<a href=#34 id=34 data-nosnippet>34</a><span class="kw">struct </span>CDF<<span class="lifetime">'a</span>> {
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<a href=#35 id=35 data-nosnippet>35</a> cdf: <span class="kw-2">&</span><span class="lifetime">'a </span><span class="kw-2">mut </span>[u16],
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<a href=#36 id=36 data-nosnippet>36</a>}
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<a href=#37 id=37 data-nosnippet>37</a><span class="kw">struct </span>Stride1Prior {}
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<a href=#38 id=38 data-nosnippet>38</a><span class="kw">impl </span>Stride1Prior {
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<a href=#39 id=39 data-nosnippet>39</a> <span class="kw">fn </span>lookup_lin(
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<a href=#40 id=40 data-nosnippet>40</a> stride_byte: u8,
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<a href=#41 id=41 data-nosnippet>41</a> selected_context: u8,
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<a href=#42 id=42 data-nosnippet>42</a> actual_context: usize,
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<a href=#43 id=43 data-nosnippet>43</a> high_nibble: <span class="prelude-ty">Option</span><u8>,
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<a href=#44 id=44 data-nosnippet>44</a> ) -> usize {
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<a href=#45 id=45 data-nosnippet>45</a> stride_lookup_lin(stride_byte, selected_context, actual_context, high_nibble)
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<a href=#46 id=46 data-nosnippet>46</a> }
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<a href=#47 id=47 data-nosnippet>47</a> <span class="kw">fn </span>lookup_mut(
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<a href=#48 id=48 data-nosnippet>48</a> data: <span class="kw-2">&mut </span>[u16],
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<a href=#49 id=49 data-nosnippet>49</a> stride_byte: u8,
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<a href=#50 id=50 data-nosnippet>50</a> selected_context: u8,
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<a href=#51 id=51 data-nosnippet>51</a> actual_context: usize,
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<a href=#52 id=52 data-nosnippet>52</a> high_nibble: <span class="prelude-ty">Option</span><u8>,
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<a href=#53 id=53 data-nosnippet>53</a> ) -> CDF {
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<a href=#54 id=54 data-nosnippet>54</a> <span class="kw">let </span>index = <span class="self">Self</span>::lookup_lin(stride_byte, selected_context, actual_context, high_nibble)
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<a href=#55 id=55 data-nosnippet>55</a> * NIBBLE_PRIOR_SIZE;
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<a href=#56 id=56 data-nosnippet>56</a> CDF::from(data.split_at_mut(index).<span class="number">1</span>.split_at_mut(<span class="number">16</span>).<span class="number">0</span>)
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<a href=#57 id=57 data-nosnippet>57</a> }
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<a href=#58 id=58 data-nosnippet>58</a>}
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<a href=#59 id=59 data-nosnippet>59</a>
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<a href=#60 id=60 data-nosnippet>60</a><span class="kw">impl</span><<span class="lifetime">'a</span>> CDF<<span class="lifetime">'a</span>> {
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<a href=#61 id=61 data-nosnippet>61</a> <span class="kw">pub fn </span>cost(<span class="kw-2">&</span><span class="self">self</span>, nibble_u8: u8) -> floatX {
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<a href=#62 id=62 data-nosnippet>62</a> <span class="macro">assert_eq!</span>(<span class="self">self</span>.cdf.len(), <span class="number">16</span>);
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<a href=#63 id=63 data-nosnippet>63</a> <span class="kw">let </span>nibble = nibble_u8 <span class="kw">as </span>usize & <span class="number">0xf</span>;
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<a href=#64 id=64 data-nosnippet>64</a> <span class="kw">let </span><span class="kw-2">mut </span>pdf = <span class="self">self</span>.cdf[nibble];
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<a href=#65 id=65 data-nosnippet>65</a> <span class="kw">if </span><span class="macro">nibble_u8 !</span>= <span class="number">0 </span>{
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<a href=#66 id=66 data-nosnippet>66</a> pdf -= <span class="self">self</span>.cdf[nibble - <span class="number">1</span>];
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<a href=#67 id=67 data-nosnippet>67</a> }
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<a href=#68 id=68 data-nosnippet>68</a> FastLog2u16(<span class="self">self</span>.cdf[<span class="number">15</span>]) - FastLog2u16(pdf)
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<a href=#69 id=69 data-nosnippet>69</a> }
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<a href=#70 id=70 data-nosnippet>70</a> <span class="kw">pub fn </span>update(<span class="kw-2">&mut </span><span class="self">self</span>, nibble_u8: u8, speed: (u16, u16)) {
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<a href=#71 id=71 data-nosnippet>71</a> <span class="macro">assert_eq!</span>(<span class="self">self</span>.cdf.len(), <span class="number">16</span>);
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<a href=#72 id=72 data-nosnippet>72</a> <span class="kw">for </span>nib_range <span class="kw">in </span>(nibble_u8 <span class="kw">as </span>usize & <span class="number">0xf</span>)..<span class="number">16 </span>{
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<a href=#73 id=73 data-nosnippet>73</a> <span class="self">self</span>.cdf[nib_range] += speed.<span class="number">0</span>;
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<a href=#74 id=74 data-nosnippet>74</a> }
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<a href=#75 id=75 data-nosnippet>75</a> <span class="kw">if </span><span class="self">self</span>.cdf[<span class="number">15</span>] >= speed.<span class="number">1 </span>{
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<a href=#76 id=76 data-nosnippet>76</a> <span class="kw">const </span>CDF_BIAS: [u16; <span class="number">16</span>] = [<span class="number">1</span>, <span class="number">2</span>, <span class="number">3</span>, <span class="number">4</span>, <span class="number">5</span>, <span class="number">6</span>, <span class="number">7</span>, <span class="number">8</span>, <span class="number">9</span>, <span class="number">10</span>, <span class="number">11</span>, <span class="number">12</span>, <span class="number">13</span>, <span class="number">14</span>, <span class="number">15</span>, <span class="number">16</span>];
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<a href=#77 id=77 data-nosnippet>77</a> <span class="kw">for </span>nibble_index <span class="kw">in </span><span class="number">0</span>..<span class="number">16 </span>{
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<a href=#78 id=78 data-nosnippet>78</a> <span class="kw">let </span>tmp = <span class="kw-2">&mut </span><span class="self">self</span>.cdf[nibble_index];
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<a href=#79 id=79 data-nosnippet>79</a> <span class="kw-2">*</span>tmp = (tmp.wrapping_add(CDF_BIAS[nibble_index]))
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<a href=#80 id=80 data-nosnippet>80</a> .wrapping_sub(tmp.wrapping_add(CDF_BIAS[nibble_index]) >> <span class="number">2</span>);
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<a href=#81 id=81 data-nosnippet>81</a> }
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<a href=#82 id=82 data-nosnippet>82</a> }
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<a href=#83 id=83 data-nosnippet>83</a> }
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<a href=#84 id=84 data-nosnippet>84</a>}
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<a href=#85 id=85 data-nosnippet>85</a>
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<a href=#86 id=86 data-nosnippet>86</a><span class="kw">impl</span><<span class="lifetime">'a</span>> From<<span class="kw-2">&</span><span class="lifetime">'a </span><span class="kw-2">mut </span>[u16]> <span class="kw">for </span>CDF<<span class="lifetime">'a</span>> {
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<a href=#87 id=87 data-nosnippet>87</a> <span class="kw">fn </span>from(cdf: <span class="kw-2">&</span><span class="lifetime">'a </span><span class="kw-2">mut </span>[u16]) -> CDF<<span class="lifetime">'a</span>> {
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<a href=#88 id=88 data-nosnippet>88</a> <span class="macro">assert_eq!</span>(cdf.len(), <span class="number">16</span>);
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<a href=#89 id=89 data-nosnippet>89</a> CDF { cdf }
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<a href=#90 id=90 data-nosnippet>90</a> }
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<a href=#91 id=91 data-nosnippet>91</a>}
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<a href=#92 id=92 data-nosnippet>92</a>
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<a href=#93 id=93 data-nosnippet>93</a><span class="kw">pub struct </span>StrideEval<
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<a href=#94 id=94 data-nosnippet>94</a> <span class="lifetime">'a</span>,
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<a href=#95 id=95 data-nosnippet>95</a> Alloc: alloc::Allocator<u16> + alloc::Allocator<u32> + alloc::Allocator<floatX> + <span class="lifetime">'a</span>,
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<a href=#96 id=96 data-nosnippet>96</a>> {
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<a href=#97 id=97 data-nosnippet>97</a> input: InputPair<<span class="lifetime">'a</span>>,
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<a href=#98 id=98 data-nosnippet>98</a> alloc: <span class="kw-2">&</span><span class="lifetime">'a </span><span class="kw-2">mut </span>Alloc,
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<a href=#99 id=99 data-nosnippet>99</a> context_map: <span class="kw-2">&</span><span class="lifetime">'a </span>interface::PredictionModeContextMap<InputReferenceMut<<span class="lifetime">'a</span>>>,
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<a href=#100 id=100 data-nosnippet>100</a> block_type: u8,
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<a href=#101 id=101 data-nosnippet>101</a> local_byte_offset: usize,
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<a href=#102 id=102 data-nosnippet>102</a> stride_priors: [<Alloc <span class="kw">as </span>Allocator<u16>>::AllocatedMemory; <span class="number">8</span>],
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<a href=#103 id=103 data-nosnippet>103</a> score: <Alloc <span class="kw">as </span>Allocator<floatX>>::AllocatedMemory,
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<a href=#104 id=104 data-nosnippet>104</a> cur_score_epoch: usize,
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<a href=#105 id=105 data-nosnippet>105</a> stride_speed: [(u16, u16); <span class="number">2</span>],
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<a href=#106 id=106 data-nosnippet>106</a> cur_stride: u8,
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<a href=#107 id=107 data-nosnippet>107</a>}
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<a href=#108 id=108 data-nosnippet>108</a>
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<a href=#109 id=109 data-nosnippet>109</a><span class="kw">impl</span><<span class="lifetime">'a</span>, Alloc: alloc::Allocator<u16> + alloc::Allocator<u32> + alloc::Allocator<floatX> + <span class="lifetime">'a</span>>
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<a href=#110 id=110 data-nosnippet>110</a> StrideEval<<span class="lifetime">'a</span>, Alloc>
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<a href=#111 id=111 data-nosnippet>111</a>{
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<a href=#112 id=112 data-nosnippet>112</a> <span class="kw">pub fn </span>new(
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<a href=#113 id=113 data-nosnippet>113</a> alloc: <span class="kw-2">&</span><span class="lifetime">'a </span><span class="kw-2">mut </span>Alloc,
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<a href=#114 id=114 data-nosnippet>114</a> input: InputPair<<span class="lifetime">'a</span>>,
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<a href=#115 id=115 data-nosnippet>115</a> prediction_mode: <span class="kw-2">&</span><span class="lifetime">'a </span>interface::PredictionModeContextMap<InputReferenceMut<<span class="lifetime">'a</span>>>,
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<a href=#116 id=116 data-nosnippet>116</a> params: <span class="kw-2">&</span>BrotliEncoderParams,
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<a href=#117 id=117 data-nosnippet>117</a> ) -> <span class="self">Self </span>{
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<a href=#118 id=118 data-nosnippet>118</a> <span class="kw">let </span>do_alloc = <span class="bool-val">true</span>;
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<a href=#119 id=119 data-nosnippet>119</a> <span class="kw">let </span><span class="kw-2">mut </span>stride_speed = prediction_mode.stride_context_speed();
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<a href=#120 id=120 data-nosnippet>120</a> <span class="kw">if </span>stride_speed[<span class="number">0</span>] == (<span class="number">0</span>, <span class="number">0</span>) {
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<a href=#121 id=121 data-nosnippet>121</a> stride_speed[<span class="number">0</span>] = params.literal_adaptation[<span class="number">0</span>]
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<a href=#122 id=122 data-nosnippet>122</a> }
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<a href=#123 id=123 data-nosnippet>123</a> <span class="kw">if </span>stride_speed[<span class="number">0</span>] == (<span class="number">0</span>, <span class="number">0</span>) {
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<a href=#124 id=124 data-nosnippet>124</a> stride_speed[<span class="number">0</span>] = DEFAULT_SPEED;
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<a href=#125 id=125 data-nosnippet>125</a> }
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<a href=#126 id=126 data-nosnippet>126</a> <span class="kw">if </span>stride_speed[<span class="number">1</span>] == (<span class="number">0</span>, <span class="number">0</span>) {
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<a href=#127 id=127 data-nosnippet>127</a> stride_speed[<span class="number">1</span>] = params.literal_adaptation[<span class="number">1</span>]
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<a href=#128 id=128 data-nosnippet>128</a> }
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<a href=#129 id=129 data-nosnippet>129</a> <span class="kw">if </span>stride_speed[<span class="number">1</span>] == (<span class="number">0</span>, <span class="number">0</span>) {
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<a href=#130 id=130 data-nosnippet>130</a> stride_speed[<span class="number">1</span>] = stride_speed[<span class="number">0</span>];
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<a href=#131 id=131 data-nosnippet>131</a> }
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<a href=#132 id=132 data-nosnippet>132</a> <span class="kw">let </span>score = <span class="kw">if </span>do_alloc {
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<a href=#133 id=133 data-nosnippet>133</a> allocate::<floatX, <span class="kw">_</span>>(alloc, <span class="number">8 </span>* <span class="number">4</span>) <span class="comment">// FIXME make this bigger than just 4
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<a href=#134 id=134 data-nosnippet>134</a> </span>} <span class="kw">else </span>{
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<a href=#135 id=135 data-nosnippet>135</a> alloc_default::<floatX, Alloc>()
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<a href=#136 id=136 data-nosnippet>136</a> };
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<a href=#137 id=137 data-nosnippet>137</a> <span class="kw">let </span>stride_priors = <span class="kw">if </span>do_alloc {
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<a href=#138 id=138 data-nosnippet>138</a> [
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<a href=#139 id=139 data-nosnippet>139</a> allocate::<u16, <span class="kw">_</span>>(alloc, STRIDE_PRIOR_SIZE),
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<a href=#140 id=140 data-nosnippet>140</a> allocate::<u16, <span class="kw">_</span>>(alloc, STRIDE_PRIOR_SIZE),
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<a href=#141 id=141 data-nosnippet>141</a> allocate::<u16, <span class="kw">_</span>>(alloc, STRIDE_PRIOR_SIZE),
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<a href=#142 id=142 data-nosnippet>142</a> allocate::<u16, <span class="kw">_</span>>(alloc, STRIDE_PRIOR_SIZE),
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<a href=#143 id=143 data-nosnippet>143</a> allocate::<u16, <span class="kw">_</span>>(alloc, STRIDE_PRIOR_SIZE),
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<a href=#144 id=144 data-nosnippet>144</a> allocate::<u16, <span class="kw">_</span>>(alloc, STRIDE_PRIOR_SIZE),
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<a href=#145 id=145 data-nosnippet>145</a> allocate::<u16, <span class="kw">_</span>>(alloc, STRIDE_PRIOR_SIZE),
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<a href=#146 id=146 data-nosnippet>146</a> allocate::<u16, <span class="kw">_</span>>(alloc, STRIDE_PRIOR_SIZE),
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<a href=#147 id=147 data-nosnippet>147</a> ]
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<a href=#148 id=148 data-nosnippet>148</a> } <span class="kw">else </span>{
|
|
<a href=#149 id=149 data-nosnippet>149</a> [
|
|
<a href=#150 id=150 data-nosnippet>150</a> alloc_default::<u16, Alloc>(),
|
|
<a href=#151 id=151 data-nosnippet>151</a> alloc_default::<u16, Alloc>(),
|
|
<a href=#152 id=152 data-nosnippet>152</a> alloc_default::<u16, Alloc>(),
|
|
<a href=#153 id=153 data-nosnippet>153</a> alloc_default::<u16, Alloc>(),
|
|
<a href=#154 id=154 data-nosnippet>154</a> alloc_default::<u16, Alloc>(),
|
|
<a href=#155 id=155 data-nosnippet>155</a> alloc_default::<u16, Alloc>(),
|
|
<a href=#156 id=156 data-nosnippet>156</a> alloc_default::<u16, Alloc>(),
|
|
<a href=#157 id=157 data-nosnippet>157</a> alloc_default::<u16, Alloc>(),
|
|
<a href=#158 id=158 data-nosnippet>158</a> ]
|
|
<a href=#159 id=159 data-nosnippet>159</a> };
|
|
<a href=#160 id=160 data-nosnippet>160</a> <span class="kw">let </span><span class="kw-2">mut </span>ret = StrideEval::<Alloc> {
|
|
<a href=#161 id=161 data-nosnippet>161</a> input,
|
|
<a href=#162 id=162 data-nosnippet>162</a> context_map: prediction_mode,
|
|
<a href=#163 id=163 data-nosnippet>163</a> block_type: <span class="number">0</span>,
|
|
<a href=#164 id=164 data-nosnippet>164</a> alloc,
|
|
<a href=#165 id=165 data-nosnippet>165</a> cur_stride: <span class="number">1</span>,
|
|
<a href=#166 id=166 data-nosnippet>166</a> cur_score_epoch: <span class="number">0</span>,
|
|
<a href=#167 id=167 data-nosnippet>167</a> local_byte_offset: <span class="number">0</span>,
|
|
<a href=#168 id=168 data-nosnippet>168</a> stride_priors,
|
|
<a href=#169 id=169 data-nosnippet>169</a> score,
|
|
<a href=#170 id=170 data-nosnippet>170</a> stride_speed,
|
|
<a href=#171 id=171 data-nosnippet>171</a> };
|
|
<a href=#172 id=172 data-nosnippet>172</a> <span class="kw">for </span>stride_prior <span class="kw">in </span>ret.stride_priors.iter_mut() {
|
|
<a href=#173 id=173 data-nosnippet>173</a> local_init_cdfs(stride_prior.slice_mut());
|
|
<a href=#174 id=174 data-nosnippet>174</a> }
|
|
<a href=#175 id=175 data-nosnippet>175</a> ret
|
|
<a href=#176 id=176 data-nosnippet>176</a> }
|
|
<a href=#177 id=177 data-nosnippet>177</a> <span class="kw">pub fn </span>alloc(<span class="kw-2">&mut </span><span class="self">self</span>) -> <span class="kw-2">&mut </span>Alloc {
|
|
<a href=#178 id=178 data-nosnippet>178</a> <span class="self">self</span>.alloc
|
|
<a href=#179 id=179 data-nosnippet>179</a> }
|
|
<a href=#180 id=180 data-nosnippet>180</a> <span class="kw">pub fn </span>choose_stride(<span class="kw-2">&</span><span class="self">self</span>, stride_data: <span class="kw-2">&mut </span>[u8]) {
|
|
<a href=#181 id=181 data-nosnippet>181</a> <span class="macro">assert_eq!</span>(stride_data.len(), <span class="self">self</span>.cur_score_epoch);
|
|
<a href=#182 id=182 data-nosnippet>182</a> <span class="macro">assert!</span>(<span class="self">self</span>.score.slice().len() > stride_data.len());
|
|
<a href=#183 id=183 data-nosnippet>183</a> <span class="macro">assert!</span>(<span class="self">self</span>.score.slice().len() > (stride_data.len() << <span class="number">3</span>) + <span class="number">7 </span>+ <span class="number">8</span>);
|
|
<a href=#184 id=184 data-nosnippet>184</a> <span class="kw">for </span>(index, choice) <span class="kw">in </span>stride_data.iter_mut().enumerate() {
|
|
<a href=#185 id=185 data-nosnippet>185</a> <span class="kw">let </span>choices = <span class="self">self
|
|
<a href=#186 id=186 data-nosnippet>186</a> </span>.score
|
|
<a href=#187 id=187 data-nosnippet>187</a> .slice()
|
|
<a href=#188 id=188 data-nosnippet>188</a> .split_at((<span class="number">1 </span>+ index) << <span class="number">3</span>)
|
|
<a href=#189 id=189 data-nosnippet>189</a> .<span class="number">1
|
|
<a href=#190 id=190 data-nosnippet>190</a> </span>.split_at(<span class="number">8</span>)
|
|
<a href=#191 id=191 data-nosnippet>191</a> .<span class="number">0</span>;
|
|
<a href=#192 id=192 data-nosnippet>192</a> <span class="kw">let </span><span class="kw-2">mut </span>best_choice: u8 = <span class="number">0</span>;
|
|
<a href=#193 id=193 data-nosnippet>193</a> <span class="kw">let </span><span class="kw-2">mut </span>best_score = choices[<span class="number">0</span>];
|
|
<a href=#194 id=194 data-nosnippet>194</a> <span class="kw">for </span>(cur_index, cur_score) <span class="kw">in </span>choices.iter().enumerate() {
|
|
<a href=#195 id=195 data-nosnippet>195</a> <span class="kw">if </span><span class="kw-2">*</span>cur_score + <span class="number">2.0 </span>< best_score {
|
|
<a href=#196 id=196 data-nosnippet>196</a> <span class="comment">// needs to be 2 bits better to be worth the type switch
|
|
<a href=#197 id=197 data-nosnippet>197</a> </span>best_score = <span class="kw-2">*</span>cur_score;
|
|
<a href=#198 id=198 data-nosnippet>198</a> best_choice = cur_index <span class="kw">as </span>u8;
|
|
<a href=#199 id=199 data-nosnippet>199</a> }
|
|
<a href=#200 id=200 data-nosnippet>200</a> }
|
|
<a href=#201 id=201 data-nosnippet>201</a> <span class="kw-2">*</span>choice = best_choice;
|
|
<a href=#202 id=202 data-nosnippet>202</a> }
|
|
<a href=#203 id=203 data-nosnippet>203</a> }
|
|
<a href=#204 id=204 data-nosnippet>204</a> <span class="kw">pub fn </span>num_types(<span class="kw-2">&</span><span class="self">self</span>) -> usize {
|
|
<a href=#205 id=205 data-nosnippet>205</a> <span class="self">self</span>.cur_score_epoch
|
|
<a href=#206 id=206 data-nosnippet>206</a> }
|
|
<a href=#207 id=207 data-nosnippet>207</a> <span class="kw">fn </span>update_cost_base(
|
|
<a href=#208 id=208 data-nosnippet>208</a> <span class="kw-2">&mut </span><span class="self">self</span>,
|
|
<a href=#209 id=209 data-nosnippet>209</a> stride_prior: [u8; <span class="number">8</span>],
|
|
<a href=#210 id=210 data-nosnippet>210</a> selected_bits: u8,
|
|
<a href=#211 id=211 data-nosnippet>211</a> cm_prior: usize,
|
|
<a href=#212 id=212 data-nosnippet>212</a> literal: u8,
|
|
<a href=#213 id=213 data-nosnippet>213</a> ) {
|
|
<a href=#214 id=214 data-nosnippet>214</a> <span class="kw">type </span>CurPrior = Stride1Prior;
|
|
<a href=#215 id=215 data-nosnippet>215</a> {
|
|
<a href=#216 id=216 data-nosnippet>216</a> <span class="kw">for </span>i <span class="kw">in </span><span class="number">0</span>..<span class="number">8 </span>{
|
|
<a href=#217 id=217 data-nosnippet>217</a> <span class="kw">let </span><span class="kw-2">mut </span>cdf = CurPrior::lookup_mut(
|
|
<a href=#218 id=218 data-nosnippet>218</a> <span class="self">self</span>.stride_priors[i].slice_mut(),
|
|
<a href=#219 id=219 data-nosnippet>219</a> stride_prior[i],
|
|
<a href=#220 id=220 data-nosnippet>220</a> selected_bits,
|
|
<a href=#221 id=221 data-nosnippet>221</a> cm_prior,
|
|
<a href=#222 id=222 data-nosnippet>222</a> <span class="prelude-val">None</span>,
|
|
<a href=#223 id=223 data-nosnippet>223</a> );
|
|
<a href=#224 id=224 data-nosnippet>224</a> <span class="self">self</span>.score.slice_mut()[<span class="self">self</span>.cur_score_epoch * <span class="number">8 </span>+ i] += cdf.cost(literal >> <span class="number">4</span>);
|
|
<a href=#225 id=225 data-nosnippet>225</a> cdf.update(literal >> <span class="number">4</span>, <span class="self">self</span>.stride_speed[<span class="number">1</span>]);
|
|
<a href=#226 id=226 data-nosnippet>226</a> }
|
|
<a href=#227 id=227 data-nosnippet>227</a> }
|
|
<a href=#228 id=228 data-nosnippet>228</a> {
|
|
<a href=#229 id=229 data-nosnippet>229</a> <span class="kw">for </span>i <span class="kw">in </span><span class="number">0</span>..<span class="number">8 </span>{
|
|
<a href=#230 id=230 data-nosnippet>230</a> <span class="kw">let </span><span class="kw-2">mut </span>cdf = CurPrior::lookup_mut(
|
|
<a href=#231 id=231 data-nosnippet>231</a> <span class="self">self</span>.stride_priors[i].slice_mut(),
|
|
<a href=#232 id=232 data-nosnippet>232</a> stride_prior[i],
|
|
<a href=#233 id=233 data-nosnippet>233</a> selected_bits,
|
|
<a href=#234 id=234 data-nosnippet>234</a> cm_prior,
|
|
<a href=#235 id=235 data-nosnippet>235</a> <span class="prelude-val">Some</span>(literal >> <span class="number">4</span>),
|
|
<a href=#236 id=236 data-nosnippet>236</a> );
|
|
<a href=#237 id=237 data-nosnippet>237</a> <span class="self">self</span>.score.slice_mut()[<span class="self">self</span>.cur_score_epoch * <span class="number">8 </span>+ i] += cdf.cost(literal & <span class="number">0xf</span>);
|
|
<a href=#238 id=238 data-nosnippet>238</a> cdf.update(literal & <span class="number">0xf</span>, <span class="self">self</span>.stride_speed[<span class="number">0</span>]);
|
|
<a href=#239 id=239 data-nosnippet>239</a> }
|
|
<a href=#240 id=240 data-nosnippet>240</a> }
|
|
<a href=#241 id=241 data-nosnippet>241</a> }
|
|
<a href=#242 id=242 data-nosnippet>242</a>}
|
|
<a href=#243 id=243 data-nosnippet>243</a><span class="kw">impl</span><<span class="lifetime">'a</span>, Alloc: alloc::Allocator<u16> + alloc::Allocator<u32> + alloc::Allocator<floatX>> Drop
|
|
<a href=#244 id=244 data-nosnippet>244</a> <span class="kw">for </span>StrideEval<<span class="lifetime">'a</span>, Alloc>
|
|
<a href=#245 id=245 data-nosnippet>245</a>{
|
|
<a href=#246 id=246 data-nosnippet>246</a> <span class="kw">fn </span>drop(<span class="kw-2">&mut </span><span class="self">self</span>) {
|
|
<a href=#247 id=247 data-nosnippet>247</a> <Alloc <span class="kw">as </span>Allocator<floatX>>::free_cell(<span class="self">self</span>.alloc, core::mem::take(<span class="kw-2">&mut </span><span class="self">self</span>.score));
|
|
<a href=#248 id=248 data-nosnippet>248</a> <span class="kw">for </span>i <span class="kw">in </span><span class="number">0</span>..<span class="number">8 </span>{
|
|
<a href=#249 id=249 data-nosnippet>249</a> <Alloc <span class="kw">as </span>Allocator<u16>>::free_cell(
|
|
<a href=#250 id=250 data-nosnippet>250</a> <span class="self">self</span>.alloc,
|
|
<a href=#251 id=251 data-nosnippet>251</a> core::mem::take(<span class="kw-2">&mut </span><span class="self">self</span>.stride_priors[i]),
|
|
<a href=#252 id=252 data-nosnippet>252</a> );
|
|
<a href=#253 id=253 data-nosnippet>253</a> }
|
|
<a href=#254 id=254 data-nosnippet>254</a> }
|
|
<a href=#255 id=255 data-nosnippet>255</a>}
|
|
<a href=#256 id=256 data-nosnippet>256</a>
|
|
<a href=#257 id=257 data-nosnippet>257</a><span class="kw">impl</span><<span class="lifetime">'a</span>, Alloc: alloc::Allocator<u16> + alloc::Allocator<u32> + alloc::Allocator<floatX>>
|
|
<a href=#258 id=258 data-nosnippet>258</a> IRInterpreter <span class="kw">for </span>StrideEval<<span class="lifetime">'a</span>, Alloc>
|
|
<a href=#259 id=259 data-nosnippet>259</a>{
|
|
<a href=#260 id=260 data-nosnippet>260</a> <span class="kw">fn </span>inc_local_byte_offset(<span class="kw-2">&mut </span><span class="self">self</span>, inc: usize) {
|
|
<a href=#261 id=261 data-nosnippet>261</a> <span class="self">self</span>.local_byte_offset += inc;
|
|
<a href=#262 id=262 data-nosnippet>262</a> }
|
|
<a href=#263 id=263 data-nosnippet>263</a> <span class="kw">fn </span>local_byte_offset(<span class="kw-2">&</span><span class="self">self</span>) -> usize {
|
|
<a href=#264 id=264 data-nosnippet>264</a> <span class="self">self</span>.local_byte_offset
|
|
<a href=#265 id=265 data-nosnippet>265</a> }
|
|
<a href=#266 id=266 data-nosnippet>266</a> <span class="kw">fn </span>update_block_type(<span class="kw-2">&mut </span><span class="self">self</span>, new_type: u8, stride: u8) {
|
|
<a href=#267 id=267 data-nosnippet>267</a> <span class="self">self</span>.block_type = new_type;
|
|
<a href=#268 id=268 data-nosnippet>268</a> <span class="self">self</span>.cur_stride = stride;
|
|
<a href=#269 id=269 data-nosnippet>269</a> <span class="self">self</span>.cur_score_epoch += <span class="number">1</span>;
|
|
<a href=#270 id=270 data-nosnippet>270</a> <span class="kw">if </span><span class="self">self</span>.cur_score_epoch * <span class="number">8 </span>+ <span class="number">7 </span>>= <span class="self">self</span>.score.slice().len() {
|
|
<a href=#271 id=271 data-nosnippet>271</a> <span class="kw">let </span>new_len = <span class="self">self</span>.score.slice().len() * <span class="number">2</span>;
|
|
<a href=#272 id=272 data-nosnippet>272</a> <span class="kw">let </span><span class="kw-2">mut </span>new_score = allocate::<floatX, <span class="kw">_</span>>(<span class="self">self</span>.alloc, new_len);
|
|
<a href=#273 id=273 data-nosnippet>273</a> <span class="kw">for </span>(src, dst) <span class="kw">in </span><span class="self">self</span>.score.slice().iter().zip(
|
|
<a href=#274 id=274 data-nosnippet>274</a> new_score
|
|
<a href=#275 id=275 data-nosnippet>275</a> .slice_mut()
|
|
<a href=#276 id=276 data-nosnippet>276</a> .split_at_mut(<span class="self">self</span>.score.slice().len())
|
|
<a href=#277 id=277 data-nosnippet>277</a> .<span class="number">0
|
|
<a href=#278 id=278 data-nosnippet>278</a> </span>.iter_mut(),
|
|
<a href=#279 id=279 data-nosnippet>279</a> ) {
|
|
<a href=#280 id=280 data-nosnippet>280</a> <span class="kw-2">*</span>dst = <span class="kw-2">*</span>src;
|
|
<a href=#281 id=281 data-nosnippet>281</a> }
|
|
<a href=#282 id=282 data-nosnippet>282</a> <Alloc <span class="kw">as </span>Allocator<floatX>>::free_cell(
|
|
<a href=#283 id=283 data-nosnippet>283</a> <span class="self">self</span>.alloc,
|
|
<a href=#284 id=284 data-nosnippet>284</a> core::mem::replace(<span class="kw-2">&mut </span><span class="self">self</span>.score, new_score),
|
|
<a href=#285 id=285 data-nosnippet>285</a> );
|
|
<a href=#286 id=286 data-nosnippet>286</a> }
|
|
<a href=#287 id=287 data-nosnippet>287</a> }
|
|
<a href=#288 id=288 data-nosnippet>288</a> <span class="kw">fn </span>block_type(<span class="kw-2">&</span><span class="self">self</span>) -> u8 {
|
|
<a href=#289 id=289 data-nosnippet>289</a> <span class="self">self</span>.block_type
|
|
<a href=#290 id=290 data-nosnippet>290</a> }
|
|
<a href=#291 id=291 data-nosnippet>291</a> <span class="kw">fn </span>literal_data_at_offset(<span class="kw-2">&</span><span class="self">self</span>, index: usize) -> u8 {
|
|
<a href=#292 id=292 data-nosnippet>292</a> <span class="self">self</span>.input[index]
|
|
<a href=#293 id=293 data-nosnippet>293</a> }
|
|
<a href=#294 id=294 data-nosnippet>294</a> <span class="kw">fn </span>literal_context_map(<span class="kw-2">&</span><span class="self">self</span>) -> <span class="kw-2">&</span>[u8] {
|
|
<a href=#295 id=295 data-nosnippet>295</a> <span class="self">self</span>.context_map.literal_context_map.slice()
|
|
<a href=#296 id=296 data-nosnippet>296</a> }
|
|
<a href=#297 id=297 data-nosnippet>297</a> <span class="kw">fn </span>prediction_mode(<span class="kw-2">&</span><span class="self">self</span>) -> <span class="kw">crate</span>::interface::LiteralPredictionModeNibble {
|
|
<a href=#298 id=298 data-nosnippet>298</a> <span class="self">self</span>.context_map.literal_prediction_mode()
|
|
<a href=#299 id=299 data-nosnippet>299</a> }
|
|
<a href=#300 id=300 data-nosnippet>300</a> <span class="kw">fn </span>update_cost(
|
|
<a href=#301 id=301 data-nosnippet>301</a> <span class="kw-2">&mut </span><span class="self">self</span>,
|
|
<a href=#302 id=302 data-nosnippet>302</a> stride_prior: [u8; <span class="number">8</span>],
|
|
<a href=#303 id=303 data-nosnippet>303</a> stride_prior_offset: usize,
|
|
<a href=#304 id=304 data-nosnippet>304</a> selected_bits: u8,
|
|
<a href=#305 id=305 data-nosnippet>305</a> cm_prior: usize,
|
|
<a href=#306 id=306 data-nosnippet>306</a> literal: u8,
|
|
<a href=#307 id=307 data-nosnippet>307</a> ) {
|
|
<a href=#308 id=308 data-nosnippet>308</a> <span class="kw">let </span>reversed_stride_priors = [
|
|
<a href=#309 id=309 data-nosnippet>309</a> stride_prior[stride_prior_offset & <span class="number">7</span>],
|
|
<a href=#310 id=310 data-nosnippet>310</a> stride_prior[stride_prior_offset.wrapping_sub(<span class="number">1</span>) & <span class="number">7</span>],
|
|
<a href=#311 id=311 data-nosnippet>311</a> stride_prior[stride_prior_offset.wrapping_sub(<span class="number">2</span>) & <span class="number">7</span>],
|
|
<a href=#312 id=312 data-nosnippet>312</a> stride_prior[stride_prior_offset.wrapping_sub(<span class="number">3</span>) & <span class="number">7</span>],
|
|
<a href=#313 id=313 data-nosnippet>313</a> stride_prior[stride_prior_offset.wrapping_sub(<span class="number">4</span>) & <span class="number">7</span>],
|
|
<a href=#314 id=314 data-nosnippet>314</a> stride_prior[stride_prior_offset.wrapping_sub(<span class="number">5</span>) & <span class="number">7</span>],
|
|
<a href=#315 id=315 data-nosnippet>315</a> stride_prior[stride_prior_offset.wrapping_sub(<span class="number">6</span>) & <span class="number">7</span>],
|
|
<a href=#316 id=316 data-nosnippet>316</a> stride_prior[stride_prior_offset.wrapping_sub(<span class="number">7</span>) & <span class="number">7</span>],
|
|
<a href=#317 id=317 data-nosnippet>317</a> ];
|
|
<a href=#318 id=318 data-nosnippet>318</a> <span class="self">self</span>.update_cost_base(reversed_stride_priors, selected_bits, cm_prior, literal)
|
|
<a href=#319 id=319 data-nosnippet>319</a> }
|
|
<a href=#320 id=320 data-nosnippet>320</a>}
|
|
<a href=#321 id=321 data-nosnippet>321</a>
|
|
<a href=#322 id=322 data-nosnippet>322</a><span class="kw">impl</span><<span class="lifetime">'a</span>, <span class="lifetime">'b</span>, Alloc: alloc::Allocator<u16> + alloc::Allocator<u32> + alloc::Allocator<floatX>>
|
|
<a href=#323 id=323 data-nosnippet>323</a> interface::CommandProcessor<<span class="lifetime">'b</span>> <span class="kw">for </span>StrideEval<<span class="lifetime">'a</span>, Alloc>
|
|
<a href=#324 id=324 data-nosnippet>324</a>{
|
|
<a href=#325 id=325 data-nosnippet>325</a> <span class="kw">fn </span>push(<span class="kw-2">&mut </span><span class="self">self</span>, val: interface::Command<InputReference<<span class="lifetime">'b</span>>>) {
|
|
<a href=#326 id=326 data-nosnippet>326</a> push_base(<span class="self">self</span>, val)
|
|
<a href=#327 id=327 data-nosnippet>327</a> }
|
|
<a href=#328 id=328 data-nosnippet>328</a>}
|
|
</code></pre></div></section></main></body></html> |