Commit
•
7a00d6f
0
Parent(s):
Duplicate from ntt123/vietnamese-handwriting
Browse filesCo-authored-by: Thông Nguyễn <ntt123@users.noreply.huggingface.co>
- .gitattributes +27 -0
- README.md +12 -0
- index.html +244 -0
- model_weights.js +51 -0
- script.js +246 -0
- style.css +28 -0
- weights.bin +3 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,12 @@
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---
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title: Vietnamese Handwriting
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emoji: 🏃
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colorFrom: indigo
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colorTo: blue
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sdk: static
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pinned: false
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license: cc-by-nc-4.0
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duplicated_from: ntt123/vietnamese-handwriting
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
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index.html
ADDED
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@@ -0,0 +1,244 @@
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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width">
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<title>Online Handwriting</title>
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<link href="/style.css" rel="stylesheet" type="text/css" />
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<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
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<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm/dist/tf-backend-wasm.js"></script>
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<script src="model_weights.js"></script>
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<script src="script.js"></script>
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</head>
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<body>
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<input placeholder="Nhập câu tiếng việt" id="user-input"/>
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| 17 |
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<select id="writers" name="writers">
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<option value="0"> Writer 0</option>
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<option value="1"> Writer 1</option>
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+
<option value="2"> Writer 2</option>
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| 21 |
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<option value="3"> Writer 3</option>
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| 22 |
+
<option value="4"> Writer 4</option>
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| 23 |
+
<option value="5"> Writer 5</option>
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| 24 |
+
<option value="6"> Writer 6</option>
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| 25 |
+
<option value="7"> Writer 7</option>
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| 26 |
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<option value="8"> Writer 8</option>
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| 27 |
+
<option value="9"> Writer 9</option>
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| 28 |
+
<option value="10"> Writer 10</option>
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| 29 |
+
<option value="11"> Writer 11</option>
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+
<option value="12"> Writer 12</option>
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| 31 |
+
<option value="13"> Writer 13</option>
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| 32 |
+
<option value="14"> Writer 14</option>
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+
<option value="15"> Writer 15</option>
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| 34 |
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<option value="16"> Writer 16</option>
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<option value="17"> Writer 17</option>
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| 36 |
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<option value="18"> Writer 18</option>
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| 37 |
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<option value="19"> Writer 19</option>
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| 38 |
+
<option value="20"> Writer 20</option>
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| 39 |
+
<option value="21"> Writer 21</option>
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| 40 |
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<option value="22"> Writer 22</option>
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| 41 |
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<option value="23"> Writer 23</option>
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| 42 |
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<option value="24"> Writer 24</option>
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| 43 |
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<option value="25"> Writer 25</option>
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| 44 |
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<option value="26"> Writer 26</option>
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| 45 |
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<option value="27"> Writer 27</option>
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| 46 |
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<option value="28"> Writer 28</option>
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| 47 |
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<option value="29"> Writer 29</option>
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| 48 |
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<option value="30"> Writer 30</option>
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| 49 |
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<option value="31"> Writer 31</option>
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| 50 |
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<option value="32"> Writer 32</option>
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| 51 |
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<option value="33"> Writer 33</option>
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| 52 |
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<option value="34"> Writer 34</option>
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| 53 |
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<option value="35"> Writer 35</option>
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| 54 |
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<option value="36"> Writer 36</option>
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| 55 |
+
<option value="37"> Writer 37</option>
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| 56 |
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<option value="38"> Writer 38</option>
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| 57 |
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<option value="39"> Writer 39</option>
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| 58 |
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<option value="40"> Writer 40</option>
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<option value="41"> Writer 41</option>
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<option value="42"> Writer 42</option>
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<option value="43"> Writer 43</option>
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<option value="44"> Writer 44</option>
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<option value="45"> Writer 45</option>
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<option value="46"> Writer 46</option>
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<option value="47"> Writer 47</option>
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<option value="48"> Writer 48</option>
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<option value="49"> Writer 49</option>
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<option value="50"> Writer 50</option>
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<option value="51"> Writer 51</option>
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<option value="52"> Writer 52</option>
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<option value="53"> Writer 53</option>
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<option value="54"> Writer 54</option>
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<option value="55"> Writer 55</option>
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<option value="56"> Writer 56</option>
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<option value="57"> Writer 57</option>
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<option value="58"> Writer 58</option>
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<option value="59"> Writer 59</option>
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<option value="60"> Writer 60</option>
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<option value="61"> Writer 61</option>
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<option value="62"> Writer 62</option>
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<option value="63"> Writer 63</option>
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<option value="64"> Writer 64</option>
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<option value="65"> Writer 65</option>
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<option value="66"> Writer 66</option>
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+
<option value="67"> Writer 67</option>
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+
<option value="68"> Writer 68</option>
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<option value="69"> Writer 69</option>
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<option value="70"> Writer 70</option>
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<option value="71"> Writer 71</option>
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<option value="72"> Writer 72</option>
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<option value="73"> Writer 73</option>
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<option value="74"> Writer 74</option>
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<option value="75"> Writer 75</option>
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<option value="76"> Writer 76</option>
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<option value="77"> Writer 77</option>
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<option value="78"> Writer 78</option>
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<option value="79"> Writer 79</option>
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<option value="80"> Writer 80</option>
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| 99 |
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<option value="81"> Writer 81</option>
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| 100 |
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<option value="82"> Writer 82</option>
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| 101 |
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<option value="83"> Writer 83</option>
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+
<option value="84"> Writer 84</option>
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| 103 |
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<option value="85"> Writer 85</option>
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| 104 |
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<option value="86"> Writer 86</option>
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| 105 |
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<option value="87"> Writer 87</option>
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| 106 |
+
<option value="88"> Writer 88</option>
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| 107 |
+
<option value="89"> Writer 89</option>
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| 108 |
+
<option value="90"> Writer 90</option>
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| 109 |
+
<option value="91"> Writer 91</option>
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| 110 |
+
<option value="92"> Writer 92</option>
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| 111 |
+
<option value="93"> Writer 93</option>
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| 112 |
+
<option value="94"> Writer 94</option>
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| 113 |
+
<option value="95"> Writer 95</option>
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| 114 |
+
<option value="96"> Writer 96</option>
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| 115 |
+
<option value="97"> Writer 97</option>
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| 116 |
+
<option value="98"> Writer 98</option>
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| 117 |
+
<option value="99"> Writer 99</option>
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| 118 |
+
<option value="100"> Writer 100</option>
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| 119 |
+
<option value="101"> Writer 101</option>
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| 120 |
+
<option value="102"> Writer 102</option>
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| 121 |
+
<option value="103"> Writer 103</option>
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| 122 |
+
<option value="104"> Writer 104</option>
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| 123 |
+
<option value="105"> Writer 105</option>
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| 124 |
+
<option value="106"> Writer 106</option>
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| 125 |
+
<option value="107"> Writer 107</option>
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| 126 |
+
<option value="108"> Writer 108</option>
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| 127 |
+
<option value="109"> Writer 109</option>
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| 128 |
+
<option value="110"> Writer 110</option>
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| 129 |
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<option value="111"> Writer 111</option>
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| 130 |
+
<option value="112"> Writer 112</option>
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| 131 |
+
<option value="113"> Writer 113</option>
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| 132 |
+
<option value="114"> Writer 114</option>
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| 133 |
+
<option value="115"> Writer 115</option>
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| 134 |
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<option value="116"> Writer 116</option>
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| 135 |
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<option value="117"> Writer 117</option>
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| 136 |
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<option value="118"> Writer 118</option>
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| 137 |
+
<option value="119"> Writer 119</option>
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| 138 |
+
<option value="120"> Writer 120</option>
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| 139 |
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<option value="121"> Writer 121</option>
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| 140 |
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<option value="122"> Writer 122</option>
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| 141 |
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<option value="123"> Writer 123</option>
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| 142 |
+
<option value="124"> Writer 124</option>
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+
<option value="125"> Writer 125</option>
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| 144 |
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<option value="126"> Writer 126</option>
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| 145 |
+
<option value="127"> Writer 127</option>
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| 146 |
+
<option value="128"> Writer 128</option>
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| 147 |
+
<option value="129"> Writer 129</option>
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| 148 |
+
<option value="130"> Writer 130</option>
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| 149 |
+
<option value="131"> Writer 131</option>
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| 150 |
+
<option value="132"> Writer 132</option>
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| 151 |
+
<option value="133"> Writer 133</option>
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| 152 |
+
<option value="134"> Writer 134</option>
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| 153 |
+
<option value="135"> Writer 135</option>
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| 154 |
+
<option value="136"> Writer 136</option>
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| 155 |
+
<option value="137"> Writer 137</option>
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| 156 |
+
<option value="138"> Writer 138</option>
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| 157 |
+
<option value="139"> Writer 139</option>
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| 158 |
+
<option value="140"> Writer 140</option>
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| 159 |
+
<option value="141"> Writer 141</option>
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| 160 |
+
<option value="142"> Writer 142</option>
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| 161 |
+
<option value="143"> Writer 143</option>
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| 162 |
+
<option value="144"> Writer 144</option>
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+
<option value="145"> Writer 145</option>
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| 164 |
+
<option value="146"> Writer 146</option>
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| 165 |
+
<option value="147"> Writer 147</option>
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| 166 |
+
<option value="148"> Writer 148</option>
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| 167 |
+
<option value="149"> Writer 149</option>
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| 168 |
+
<option value="150"> Writer 150</option>
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| 169 |
+
<option value="151"> Writer 151</option>
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| 170 |
+
<option value="152"> Writer 152</option>
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| 171 |
+
<option value="153"> Writer 153</option>
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| 172 |
+
<option value="154"> Writer 154</option>
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+
<option value="155"> Writer 155</option>
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+
<option value="156"> Writer 156</option>
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| 175 |
+
<option value="157"> Writer 157</option>
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| 176 |
+
<option value="158"> Writer 158</option>
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| 177 |
+
<option value="159"> Writer 159</option>
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| 178 |
+
<option value="160"> Writer 160</option>
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| 179 |
+
<option value="161"> Writer 161</option>
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| 180 |
+
<option value="162"> Writer 162</option>
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| 181 |
+
<option value="163"> Writer 163</option>
|
| 182 |
+
<option value="164"> Writer 164</option>
|
| 183 |
+
<option value="165"> Writer 165</option>
|
| 184 |
+
<option value="166"> Writer 166</option>
|
| 185 |
+
<option value="167"> Writer 167</option>
|
| 186 |
+
<option value="168"> Writer 168</option>
|
| 187 |
+
<option value="169"> Writer 169</option>
|
| 188 |
+
<option value="170"> Writer 170</option>
|
| 189 |
+
<option value="171"> Writer 171</option>
|
| 190 |
+
<option value="172"> Writer 172</option>
|
| 191 |
+
<option value="173"> Writer 173</option>
|
| 192 |
+
<option value="174"> Writer 174</option>
|
| 193 |
+
<option value="175"> Writer 175</option>
|
| 194 |
+
<option value="176"> Writer 176</option>
|
| 195 |
+
<option value="177"> Writer 177</option>
|
| 196 |
+
<option value="178"> Writer 178</option>
|
| 197 |
+
<option value="179"> Writer 179</option>
|
| 198 |
+
<option value="180"> Writer 180</option>
|
| 199 |
+
<option value="181"> Writer 181</option>
|
| 200 |
+
<option value="182"> Writer 182</option>
|
| 201 |
+
<option value="183"> Writer 183</option>
|
| 202 |
+
<option value="184"> Writer 184</option>
|
| 203 |
+
<option value="185"> Writer 185</option>
|
| 204 |
+
<option value="186"> Writer 186</option>
|
| 205 |
+
<option value="187"> Writer 187</option>
|
| 206 |
+
<option value="188"> Writer 188</option>
|
| 207 |
+
<option value="189"> Writer 189</option>
|
| 208 |
+
<option value="190"> Writer 190</option>
|
| 209 |
+
<option value="191"> Writer 191</option>
|
| 210 |
+
<option value="192"> Writer 192</option>
|
| 211 |
+
<option value="193"> Writer 193</option>
|
| 212 |
+
<option value="194"> Writer 194</option>
|
| 213 |
+
<option value="195"> Writer 195</option>
|
| 214 |
+
<option value="196"> Writer 196</option>
|
| 215 |
+
<option value="197"> Writer 197</option>
|
| 216 |
+
<option value="198"> Writer 198</option>
|
| 217 |
+
<option value="199"> Writer 199</option>
|
| 218 |
+
<option value="200"> Writer 200</option>
|
| 219 |
+
<option value="201"> Writer 201</option>
|
| 220 |
+
<option value="202"> Writer 202</option>
|
| 221 |
+
<option value="203"> Writer 203</option>
|
| 222 |
+
<option value="204"> Writer 204</option>
|
| 223 |
+
<option value="205"> Writer 205</option>
|
| 224 |
+
<option value="206"> Writer 206</option>
|
| 225 |
+
<option value="207"> Writer 207</option>
|
| 226 |
+
<option value="208"> Writer 208</option>
|
| 227 |
+
<option value="209"> Writer 209</option>
|
| 228 |
+
<option value="210"> Writer 210</option>
|
| 229 |
+
<option value="211"> Writer 211</option>
|
| 230 |
+
<option value="212"> Writer 212</option>
|
| 231 |
+
<option value="213"> Writer 213</option>
|
| 232 |
+
<option value="214"> Writer 214</option>
|
| 233 |
+
<option value="215"> Writer 215</option>
|
| 234 |
+
<option value="216"> Writer 216</option>
|
| 235 |
+
<option value="217"> Writer 217</option>
|
| 236 |
+
<option value="218"> Writer 218</option>
|
| 237 |
+
<option value="250">Writer 250</option>
|
| 238 |
+
</select>
|
| 239 |
+
<input id="bias" type="range" min="0" max="100" value="70">
|
| 240 |
+
<button style="margin-left:20px;" class="button button2" id="btn" class="button7" disabled onclick="generate()">Loading model...</button>
|
| 241 |
+
<canvas id="hw-canvas">
|
| 242 |
+
</canvas>
|
| 243 |
+
</body>
|
| 244 |
+
</html>
|
model_weights.js
ADDED
|
@@ -0,0 +1,51 @@
|
|
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|
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|
|
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|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
| 1 |
+
var oReq = new XMLHttpRequest();
|
| 2 |
+
oReq.open("GET", "weights.bin", true);
|
| 3 |
+
oReq.responseType = "arraybuffer";
|
| 4 |
+
|
| 5 |
+
var weights_meta={'rnn/~/attention_core/~/gru__b': [[0, 1200], [1200]], 'rnn/~/attention_core/~/gru__w_h': [[1200, 481200], [400, 1200]], 'rnn/~/attention_core/~/gru__w_i': [[481200, 682800], [168, 1200]], 'rnn/~/attention_core/~/gru_1__b': [[682800, 684000], [1200]], 'rnn/~/attention_core/~/gru_1__w_h': [[684000, 1164000], [400, 1200]], 'rnn/~/attention_core/~/gru_1__w_i': [[1164000, 1845600], [568, 1200]], 'rnn/~/attention_core/~/gru_2__b': [[1845600, 1846800], [1200]], 'rnn/~/attention_core/~/gru_2__w_h': [[1846800, 2326800], [400, 1200]], 'rnn/~/attention_core/~/gru_2__w_i': [[2326800, 3008400], [568, 1200]], 'rnn/~/attention_core/~/linear__b': [[3008400, 3008430], [30]], 'rnn/~/attention_core/~/linear__w': [[3008430, 3025470], [568, 30]], 'rnn/~/conv1_d__b': [[3025470, 3025635], [165]], 'rnn/~/conv1_d__w': [[3025635, 3161760], [5, 165, 165]], 'rnn/~/embed__embeddings': [[3161760, 3246240], [512, 165]], 'rnn/~/embed_1__embeddings': [[3246240, 3273465], [165, 165]], 'rnn/~/linear__b': [[3273465, 3273586], [121]], 'rnn/~/linear__w': [[3273586, 3321986], [400, 121]]};
|
| 6 |
+
|
| 7 |
+
console.log(weights_meta);
|
| 8 |
+
|
| 9 |
+
var WEIGHTS = {};
|
| 10 |
+
var weight_buffer = null;
|
| 11 |
+
var W = null;
|
| 12 |
+
var w32 = null;
|
| 13 |
+
var w16 = null;
|
| 14 |
+
|
| 15 |
+
oReq.onload = function (oEvent) {
|
| 16 |
+
var arrayBuffer = oReq.response; // Note: not oReq.responseText
|
| 17 |
+
if (arrayBuffer) {
|
| 18 |
+
// convert bfloat16 to float32
|
| 19 |
+
// w16 = new Uint16Array(arrayBuffer)
|
| 20 |
+
// weight_buffer = new SharedArrayBuffer(2*arrayBuffer.byteLength);
|
| 21 |
+
// w32 = new Uint16Array(weight_buffer);
|
| 22 |
+
// for(var i=0; i < w16.length; i++) {
|
| 23 |
+
// w32[i * 2 + 1] = w16[i];
|
| 24 |
+
// }
|
| 25 |
+
W = new Float32Array(arrayBuffer);
|
| 26 |
+
document.getElementById("btn").innerText = "Buffer arrieved";
|
| 27 |
+
|
| 28 |
+
for(var k in weights_meta) {
|
| 29 |
+
info = weights_meta[k];
|
| 30 |
+
offset = info[0];
|
| 31 |
+
shape = info[1];
|
| 32 |
+
WEIGHTS[k] = tf.tensor(W.subarray(offset[0], offset[1]), shape);
|
| 33 |
+
}
|
| 34 |
+
|
| 35 |
+
document.getElementById("btn").disabled = false;
|
| 36 |
+
tf.engine().startScope();
|
| 37 |
+
setTimeout(function() {
|
| 38 |
+
cur_run = cur_run + 1;
|
| 39 |
+
dojob(cur_run);
|
| 40 |
+
}, 0);
|
| 41 |
+
|
| 42 |
+
document.getElementById("btn").innerText = "Generate";
|
| 43 |
+
}
|
| 44 |
+
};
|
| 45 |
+
|
| 46 |
+
tf.setBackend('wasm');
|
| 47 |
+
|
| 48 |
+
tf.ready().then( function() {
|
| 49 |
+
tf.enableProdMode();
|
| 50 |
+
oReq.send(null);
|
| 51 |
+
});
|
script.js
ADDED
|
@@ -0,0 +1,246 @@
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|
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|
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|
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|
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|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
var log = console.log;
|
| 2 |
+
var ctx = null;
|
| 3 |
+
var canvas = null;
|
| 4 |
+
var RNN_SIZE = 400;
|
| 5 |
+
var VOCAB_SIZE = 165;
|
| 6 |
+
var NUM_ATT_HEADS=10;
|
| 7 |
+
var NUM_GMM_HEADS=20;
|
| 8 |
+
var cur_run = 0;
|
| 9 |
+
var scale_factor = 1.;
|
| 10 |
+
|
| 11 |
+
var randn = function() {
|
| 12 |
+
// Standard Normal random variable using Box-Muller transform.
|
| 13 |
+
var u = Math.random() * 0.999 + 1e-5;
|
| 14 |
+
var v = Math.random() * 0.999 + 1e-5;
|
| 15 |
+
return Math.sqrt(-2.0 * Math.log(u)) * Math.cos(2.0 * Math.PI * v);
|
| 16 |
+
}
|
| 17 |
+
|
| 18 |
+
var rand_truncated_normal = function(low, high) {
|
| 19 |
+
while (true) {
|
| 20 |
+
r = randn();
|
| 21 |
+
if (r >= low && r <= high)
|
| 22 |
+
break;
|
| 23 |
+
// rejection sampling.
|
| 24 |
+
}
|
| 25 |
+
return r;
|
| 26 |
+
}
|
| 27 |
+
|
| 28 |
+
var softplus = function(x) {
|
| 29 |
+
const m = tf.maximum(x, 0.0);
|
| 30 |
+
return tf.add(m, tf.log(tf.add(tf.exp(tf.neg(m)), tf.exp(tf.sub(x, m)))));
|
| 31 |
+
}
|
| 32 |
+
|
| 33 |
+
var char2idx = {'\x00': 0, ' ': 1, '!': 2, '"': 3, '#': 4, '%': 5, '&': 6, "'": 7, '(': 8, ')': 9, '*': 10, ',': 11, '-': 12, '.': 13, '/': 14, '0': 15, '1': 16, '2': 17, '3': 18, '4': 19, '5': 20, '6': 21, '7': 22, '8': 23, '9': 24, ':': 25, ';': 26, '?': 27, 'A': 28, 'B': 29, 'C': 30, 'D': 31, 'E': 32, 'F': 33, 'G': 34, 'H': 35, 'I': 36, 'J': 37, 'K': 38, 'L': 39, 'M': 40, 'N': 41, 'O': 42, 'P': 43, 'Q': 44, 'R': 45, 'S': 46, 'T': 47, 'U': 48, 'V': 49, 'W': 50, 'X': 51, 'Y': 52, 'a': 53, 'b': 54, 'c': 55, 'd': 56, 'e': 57, 'f': 58, 'g': 59, 'h': 60, 'i': 61, 'j': 62, 'k': 63, 'l': 64, 'm': 65, 'n': 66, 'o': 67, 'p': 68, 'q': 69, 'r': 70, 's': 71, 't': 72, 'u': 73, 'v': 74, 'w': 75, 'x': 76, 'y': 77, 'z': 78, 'À': 79, 'Á': 80, 'Â': 81, 'Ô': 82, 'Ú': 83, 'Ý': 84, 'à': 85, 'á': 86, 'â': 87, 'ã': 88, 'è': 89, 'é': 90, 'ê': 91, 'ì': 92, 'í': 93, 'ò': 94, 'ó': 95, 'ô': 96, 'õ': 97, 'ù': 98, 'ú': 99, 'ý': 100, 'Ă': 101, 'ă': 102, 'Đ': 103, 'đ': 104, 'ĩ': 105, 'ũ': 106, 'Ơ': 107, 'ơ': 108, 'Ư': 109, 'ư': 110, 'ạ': 111, 'Ả': 112, 'ả': 113, 'Ấ': 114, 'ấ': 115, 'Ầ': 116, 'ầ': 117, 'ẩ': 118, 'ẫ': 119, 'ậ': 120, 'ắ': 121, 'ằ': 122, 'ẳ': 123, 'ẵ': 124, 'ặ': 125, 'ẹ': 126, 'ẻ': 127, 'ẽ': 128, 'ế': 129, 'Ề': 130, 'ề': 131, 'Ể': 132, 'ể': 133, 'ễ': 134, 'Ệ': 135, 'ệ': 136, 'ỉ': 137, 'ị': 138, 'ọ': 139, 'ỏ': 140, 'Ố': 141, 'ố': 142, 'Ồ': 143, 'ồ': 144, 'ổ': 145, 'ỗ': 146, 'ộ': 147, 'ớ': 148, 'ờ': 149, 'Ở': 150, 'ở': 151, 'ỡ': 152, 'ợ': 153, 'ụ': 154, 'Ủ': 155, 'ủ': 156, 'ứ': 157, 'ừ': 158, 'ử': 159, 'ữ': 160, 'ự': 161, 'ỳ': 162, 'ỷ': 163, 'ỹ': 164};
|
| 34 |
+
|
| 35 |
+
var gru_core = function(input, weights, state, hidden_size) {
|
| 36 |
+
var [w_h,w_i,b] = weights;
|
| 37 |
+
var [w_h_z,w_h_a] = tf.split(w_h, [2 * hidden_size, hidden_size], 1);
|
| 38 |
+
var [b_z,b_a] = tf.split(b, [2 * hidden_size, hidden_size], 0);
|
| 39 |
+
gates_x = tf.matMul(input, w_i);
|
| 40 |
+
[zr_x,a_x] = tf.split(gates_x, [2 * hidden_size, hidden_size], 1);
|
| 41 |
+
zr_h = tf.matMul(state, w_h_z);
|
| 42 |
+
zr = tf.add(tf.add(zr_x, zr_h), b_z);
|
| 43 |
+
// fix this
|
| 44 |
+
[z,r] = tf.split(tf.sigmoid(zr), 2, 1);
|
| 45 |
+
a_h = tf.matMul(tf.mul(r, state), w_h_a);
|
| 46 |
+
a = tf.tanh(tf.add(tf.add(a_x, a_h), b_a));
|
| 47 |
+
next_state = tf.add(tf.mul(tf.sub(1., z), state), tf.mul(z, a));
|
| 48 |
+
return [next_state, next_state];
|
| 49 |
+
};
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
var generate = function() {
|
| 53 |
+
cur_run = cur_run + 1;
|
| 54 |
+
setTimeout(function() {
|
| 55 |
+
var counter = 2000;
|
| 56 |
+
tf.disposeVariables();
|
| 57 |
+
|
| 58 |
+
tf.engine().startScope();
|
| 59 |
+
ctx.clearRect(0, 0, canvas.width, canvas.height);
|
| 60 |
+
ctx.beginPath();
|
| 61 |
+
dojob(cur_run);
|
| 62 |
+
}, 200);
|
| 63 |
+
|
| 64 |
+
return false;
|
| 65 |
+
}
|
| 66 |
+
|
| 67 |
+
var dojob = function(run_id) {
|
| 68 |
+
var text = document.getElementById("user-input").value;
|
| 69 |
+
if (text.length == 0) {
|
| 70 |
+
text = "Tất cả mọi người đều sinh ra có quyền bình đẳng.";
|
| 71 |
+
}
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
log(text);
|
| 75 |
+
original_text = text;
|
| 76 |
+
text = '' + text + ' ';
|
| 77 |
+
|
| 78 |
+
text = Array.from(text).map(function(e) {
|
| 79 |
+
return char2idx[e]
|
| 80 |
+
})
|
| 81 |
+
var text_embed = WEIGHTS['rnn/~/embed_1__embeddings'];
|
| 82 |
+
indices = tf.tensor1d(text, 'int32');
|
| 83 |
+
text = text_embed.gather(indices);
|
| 84 |
+
|
| 85 |
+
var embed = text;
|
| 86 |
+
|
| 87 |
+
var writer_embed = WEIGHTS['rnn/~/embed__embeddings'];
|
| 88 |
+
var e = document.getElementById("writers");
|
| 89 |
+
var wid = parseInt(e.value);
|
| 90 |
+
log(wid);
|
| 91 |
+
|
| 92 |
+
wid = tf.tensor1d([wid], 'int32');
|
| 93 |
+
wid = writer_embed.gather(wid);
|
| 94 |
+
embed = tf.add(wid, embed);
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
filter = WEIGHTS['rnn/~/conv1_d__w'];
|
| 99 |
+
embed = tf.conv1d(embed, filter, 1, 'same');
|
| 100 |
+
bias = tf.expandDims(WEIGHTS['rnn/~/conv1_d__b'], 0);
|
| 101 |
+
embed = tf.add(embed, bias);
|
| 102 |
+
|
| 103 |
+
|
| 104 |
+
// initial state
|
| 105 |
+
var gru0_hx = tf.zeros([1, RNN_SIZE]);
|
| 106 |
+
var gru1_hx = tf.zeros([1, RNN_SIZE]);
|
| 107 |
+
var gru2_hx = tf.zeros([1, RNN_SIZE]);
|
| 108 |
+
|
| 109 |
+
var att_location = tf.zeros([1, NUM_ATT_HEADS]);
|
| 110 |
+
var att_context = tf.zeros([1, VOCAB_SIZE]);
|
| 111 |
+
|
| 112 |
+
var input = tf.tensor([[0., 0., 1.]]);
|
| 113 |
+
|
| 114 |
+
gru0_w_h = WEIGHTS['rnn/~/attention_core/~/gru__w_h'];
|
| 115 |
+
gru0_w_i = WEIGHTS['rnn/~/attention_core/~/gru__w_i'];
|
| 116 |
+
gru0_bias = WEIGHTS['rnn/~/attention_core/~/gru__b'];
|
| 117 |
+
|
| 118 |
+
gru1_w_h = WEIGHTS['rnn/~/attention_core/~/gru_1__w_h'];
|
| 119 |
+
gru1_w_i = WEIGHTS['rnn/~/attention_core/~/gru_1__w_i'];
|
| 120 |
+
gru1_bias = WEIGHTS['rnn/~/attention_core/~/gru_1__b'];
|
| 121 |
+
|
| 122 |
+
gru2_w_h = WEIGHTS['rnn/~/attention_core/~/gru_2__w_h'];
|
| 123 |
+
gru2_w_i = WEIGHTS['rnn/~/attention_core/~/gru_2__w_i'];
|
| 124 |
+
gru2_bias = WEIGHTS['rnn/~/attention_core/~/gru_2__b'];
|
| 125 |
+
|
| 126 |
+
att_w = WEIGHTS['rnn/~/attention_core/~/linear__w'];
|
| 127 |
+
att_b = WEIGHTS['rnn/~/attention_core/~/linear__b'];
|
| 128 |
+
gmm_w = WEIGHTS['rnn/~/linear__w'];
|
| 129 |
+
gmm_b = WEIGHTS['rnn/~/linear__b'];
|
| 130 |
+
|
| 131 |
+
var ruler = tf.tensor([...Array(text.shape[0]).keys()]);
|
| 132 |
+
ruler = tf.expandDims(ruler, 1);
|
| 133 |
+
var bias = parseInt(document.getElementById("bias").value) / 100 * 3;
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
var cur_x = 20;
|
| 137 |
+
var cur_y = innerHeight / 2 + 30;
|
| 138 |
+
var path = [];
|
| 139 |
+
var dx = 0.;
|
| 140 |
+
var dy = 0;
|
| 141 |
+
var eos = 1.;
|
| 142 |
+
var counter = 0;
|
| 143 |
+
|
| 144 |
+
|
| 145 |
+
function loop(my_run_id) {
|
| 146 |
+
if (my_run_id < cur_run) {
|
| 147 |
+
tf.disposeVariables();
|
| 148 |
+
tf.engine().endScope();
|
| 149 |
+
return;
|
| 150 |
+
}
|
| 151 |
+
|
| 152 |
+
counter++;
|
| 153 |
+
if (counter < 2000) {
|
| 154 |
+
[att_location,att_context,gru0_hx,gru1_hx, gru2_hx, input] = tf.tidy(function() {
|
| 155 |
+
// Attention
|
| 156 |
+
const inp_0 = tf.concat([att_context, input], 1);
|
| 157 |
+
gru0_hx_ = gru0_hx;
|
| 158 |
+
[out_0,gru0_hx] = gru_core(inp_0, [gru0_w_h, gru0_w_i, gru0_bias], gru0_hx, RNN_SIZE);
|
| 159 |
+
tf.dispose(gru0_hx_);
|
| 160 |
+
const att_inp = tf.concat([att_context, input, out_0], 1);
|
| 161 |
+
const att_params = tf.add(tf.matMul(att_inp, att_w), att_b);
|
| 162 |
+
[alpha,beta,kappa] = tf.split(softplus(att_params), 3, 1);
|
| 163 |
+
att_location_ = att_location;
|
| 164 |
+
att_location = tf.add(att_location, tf.div(kappa, 25.));
|
| 165 |
+
tf.dispose(att_location_)
|
| 166 |
+
|
| 167 |
+
var phi = tf.sum(tf.mul(alpha, tf.exp(tf.div(tf.neg(tf.square(tf.sub(att_location, ruler))), beta))), 1);
|
| 168 |
+
phi = tf.expandDims(phi, 0);
|
| 169 |
+
|
| 170 |
+
att_context_ = att_context;
|
| 171 |
+
att_context = tf.sum(tf.mul(tf.expandDims(phi, 2), tf.expandDims(embed, 0)), 1)
|
| 172 |
+
tf.dispose(att_context_);
|
| 173 |
+
|
| 174 |
+
const inp_1 = tf.concat([input, out_0, att_context], 1);
|
| 175 |
+
// tf.dispose(input);
|
| 176 |
+
gru1_hx_ = gru1_hx;
|
| 177 |
+
[out_1,gru1_hx] = gru_core(inp_1, [gru1_w_h, gru1_w_i, gru1_bias], gru1_hx, RNN_SIZE);
|
| 178 |
+
tf.dispose(gru1_hx_);
|
| 179 |
+
|
| 180 |
+
const inp_2 = tf.concat([input, out_1, att_context], 1);
|
| 181 |
+
tf.dispose(input);
|
| 182 |
+
gru2_hx_ = gru2_hx;
|
| 183 |
+
[out_2, gru2_hx] = gru_core(inp_2, [gru2_w_h, gru2_w_i, gru2_bias], gru2_hx, RNN_SIZE);
|
| 184 |
+
tf.dispose(gru2_hx_);
|
| 185 |
+
|
| 186 |
+
// debugger;
|
| 187 |
+
|
| 188 |
+
// GMM
|
| 189 |
+
const gmm_params = tf.add(tf.matMul(out_2, gmm_w), gmm_b);
|
| 190 |
+
[x,y,logstdx,logstdy,angle,log_weight,eos_logit] = tf.split(gmm_params, [NUM_GMM_HEADS, NUM_GMM_HEADS, NUM_GMM_HEADS, NUM_GMM_HEADS, NUM_GMM_HEADS, NUM_GMM_HEADS, 1], 1);
|
| 191 |
+
// log_weight = tf.softmax(log_weight, 1);
|
| 192 |
+
// log_weight = tf.log(log_weight);
|
| 193 |
+
// log_weight = tf.mul(log_weight, 1. + bias);
|
| 194 |
+
const idx = tf.argMax(log_weight, 1).dataSync()[0];
|
| 195 |
+
// const idx = tf.multinomial(log_weight, 1).dataSync()[0];
|
| 196 |
+
x = x.dataSync()[idx];
|
| 197 |
+
y = y.dataSync()[idx];
|
| 198 |
+
const stdx = tf.exp(tf.sub(logstdx, bias)).dataSync()[idx];
|
| 199 |
+
const stdy = tf.exp(tf.sub(logstdy, bias)).dataSync()[idx];
|
| 200 |
+
angle = angle.dataSync()[idx];
|
| 201 |
+
e = tf.sigmoid(tf.mul(eos_logit, (1. + bias/5))).dataSync()[0];
|
| 202 |
+
const rx = rand_truncated_normal(-5, 5) * stdx;
|
| 203 |
+
const ry = rand_truncated_normal(-5, 5) * stdy;
|
| 204 |
+
x = x + Math.cos(-angle) * rx - Math.sin(-angle) * ry;
|
| 205 |
+
y = y + Math.sin(-angle) * rx + Math.cos(-angle) * ry;
|
| 206 |
+
if (Math.random() < e) {
|
| 207 |
+
e = 1.;
|
| 208 |
+
} else {
|
| 209 |
+
e = 0.;
|
| 210 |
+
}
|
| 211 |
+
input = tf.tensor([[x, y, e]]);
|
| 212 |
+
return [att_location, att_context, gru0_hx, gru1_hx, gru2_hx, input];
|
| 213 |
+
});
|
| 214 |
+
|
| 215 |
+
[dx,dy,eos_] = input.dataSync();
|
| 216 |
+
dy = -dy * 3. * scale_factor;
|
| 217 |
+
dx = dx * 3. * scale_factor;
|
| 218 |
+
if (eos == 0.) {
|
| 219 |
+
ctx.beginPath();
|
| 220 |
+
ctx.moveTo(cur_x, cur_y, 0, 0);
|
| 221 |
+
ctx.lineTo(cur_x + dx, cur_y + dy);
|
| 222 |
+
ctx.stroke();
|
| 223 |
+
}
|
| 224 |
+
eos = eos_;
|
| 225 |
+
cur_x = cur_x + dx;
|
| 226 |
+
cur_y = cur_y + dy;
|
| 227 |
+
|
| 228 |
+
if (att_location.dataSync()[0] < original_text.length + 1.5) {
|
| 229 |
+
setTimeout(function() {loop(my_run_id);}, 0);
|
| 230 |
+
}
|
| 231 |
+
}
|
| 232 |
+
}
|
| 233 |
+
|
| 234 |
+
loop(run_id);
|
| 235 |
+
}
|
| 236 |
+
|
| 237 |
+
|
| 238 |
+
window.onload = function(e) {
|
| 239 |
+
//Setting up canvas
|
| 240 |
+
canvas = document.getElementById("hw-canvas");
|
| 241 |
+
ctx = canvas.getContext("2d");
|
| 242 |
+
scale_factor = window.innerWidth / 1600;
|
| 243 |
+
ctx.canvas.width = window.innerWidth - 50;
|
| 244 |
+
ctx.canvas.height = window.innerHeight - 50;
|
| 245 |
+
|
| 246 |
+
}
|
style.css
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
body {
|
| 2 |
+
padding: 2rem;
|
| 3 |
+
font-family: -apple-system, BlinkMacSystemFont, "Arial", sans-serif;
|
| 4 |
+
}
|
| 5 |
+
|
| 6 |
+
h1 {
|
| 7 |
+
font-size: 16px;
|
| 8 |
+
margin-top: 0;
|
| 9 |
+
}
|
| 10 |
+
|
| 11 |
+
p {
|
| 12 |
+
color: rgb(107, 114, 128);
|
| 13 |
+
font-size: 15px;
|
| 14 |
+
margin-bottom: 10px;
|
| 15 |
+
margin-top: 5px;
|
| 16 |
+
}
|
| 17 |
+
|
| 18 |
+
.card {
|
| 19 |
+
max-width: 620px;
|
| 20 |
+
margin: 0 auto;
|
| 21 |
+
padding: 16px;
|
| 22 |
+
border: 1px solid lightgray;
|
| 23 |
+
border-radius: 16px;
|
| 24 |
+
}
|
| 25 |
+
|
| 26 |
+
.card p:last-child {
|
| 27 |
+
margin-bottom: 0;
|
| 28 |
+
}
|
weights.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5795596285bc683410be07ddc7eef5151070be863d91df5251f21996057273a3
|
| 3 |
+
size 13287944
|