Upload RunPhi15.cs
Browse files- RunPhi15.cs +43 -56
RunPhi15.cs
CHANGED
|
@@ -3,18 +3,18 @@ using System.Collections.Generic;
|
|
| 3 |
using UnityEngine;
|
| 4 |
using Unity.Sentis;
|
| 5 |
using System.IO;
|
| 6 |
-
using Newtonsoft.Json;
|
| 7 |
using System.Text;
|
|
|
|
| 8 |
|
| 9 |
/*
|
| 10 |
-
*
|
| 11 |
-
*
|
| 12 |
*
|
| 13 |
* Put this script on the Main Camera
|
| 14 |
*
|
| 15 |
* In Assets/StreamingAssets put:
|
| 16 |
*
|
| 17 |
-
* phi15.sentis
|
| 18 |
* vocab.json
|
| 19 |
* merges.txt
|
| 20 |
*
|
|
@@ -24,26 +24,24 @@ using System.Text;
|
|
| 24 |
*/
|
| 25 |
|
| 26 |
|
| 27 |
-
public class RunPhi15
|
| 28 |
{
|
|
|
|
|
|
|
| 29 |
const BackendType backend = BackendType.GPUCompute;
|
| 30 |
-
|
| 31 |
-
//string outputString = "
|
| 32 |
-
string outputString = "
|
| 33 |
-
//string outputString = "// Javascript function for prime numbers";
|
| 34 |
|
| 35 |
// This is how many tokens you want. It can be adjusted.
|
| 36 |
const int maxTokens = 100;
|
| 37 |
|
| 38 |
//Make this smaller for more randomness
|
| 39 |
-
const float predictability =
|
| 40 |
|
| 41 |
//Special tokens
|
| 42 |
const int END_OF_TEXT = 50256;
|
| 43 |
|
| 44 |
-
Ops ops;
|
| 45 |
-
ITensorAllocator allocator;
|
| 46 |
-
|
| 47 |
//Store the vocabulary
|
| 48 |
string[] tokens;
|
| 49 |
|
|
@@ -60,7 +58,7 @@ public class RunPhi15 : MonoBehaviour
|
|
| 60 |
|
| 61 |
|
| 62 |
//stop after this many tokens
|
| 63 |
-
const int stopAfter =
|
| 64 |
|
| 65 |
int totalTokens = 0;
|
| 66 |
|
|
@@ -69,23 +67,28 @@ public class RunPhi15 : MonoBehaviour
|
|
| 69 |
|
| 70 |
void Start()
|
| 71 |
{
|
| 72 |
-
allocator = new TensorCachingAllocator();
|
| 73 |
-
ops = WorkerFactory.CreateOps(backend, allocator);
|
| 74 |
-
|
| 75 |
SetupWhiteSpaceShifts();
|
| 76 |
|
| 77 |
LoadVocabulary();
|
| 78 |
-
|
| 79 |
-
Model model = ModelLoader.Load(Application.streamingAssetsPath + "/phi15.sentis");
|
| 80 |
-
engine = WorkerFactory.CreateWorker(backend, model);
|
| 81 |
|
| 82 |
-
|
| 83 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 84 |
|
| 85 |
-
public void GO(string text)
|
| 86 |
-
{
|
| 87 |
-
outputString = text;
|
| 88 |
DecodePrompt(outputString);
|
|
|
|
| 89 |
runInference = true;
|
| 90 |
}
|
| 91 |
|
|
@@ -101,18 +104,18 @@ public class RunPhi15 : MonoBehaviour
|
|
| 101 |
void RunInference()
|
| 102 |
{
|
| 103 |
using var tokensSoFar = new TensorInt(new TensorShape(1, maxTokens), outputTokens);
|
|
|
|
| 104 |
|
| 105 |
-
engine.Execute(tokensSoFar);
|
| 106 |
|
| 107 |
-
var
|
|
|
|
| 108 |
|
| 109 |
-
|
| 110 |
-
using var rowB = ops.Mul(predictability, row);
|
| 111 |
-
using var probs = ops.Softmax(rowB, 2);
|
| 112 |
-
probs.MakeReadable();
|
| 113 |
|
| 114 |
-
int ID =
|
| 115 |
|
|
|
|
| 116 |
if (currentToken >= maxTokens - 1)
|
| 117 |
{
|
| 118 |
for (int i = 0; i < maxTokens - 1; i++) outputTokens[i] = outputTokens[i + 1];
|
|
@@ -134,6 +137,7 @@ public class RunPhi15 : MonoBehaviour
|
|
| 134 |
else outputString += GetUnicodeText(tokens[ID]);
|
| 135 |
|
| 136 |
Debug.Log(outputString);
|
|
|
|
| 137 |
}
|
| 138 |
|
| 139 |
void DecodePrompt(string text)
|
|
@@ -147,10 +151,9 @@ public class RunPhi15 : MonoBehaviour
|
|
| 147 |
currentToken = inputTokens.Count - 1;
|
| 148 |
}
|
| 149 |
|
| 150 |
-
|
| 151 |
void LoadVocabulary()
|
| 152 |
{
|
| 153 |
-
var jsonText = File.ReadAllText(Application.streamingAssetsPath
|
| 154 |
vocab = Newtonsoft.Json.JsonConvert.DeserializeObject<Dictionary<string, int>>(jsonText);
|
| 155 |
tokens = new string[vocab.Count];
|
| 156 |
foreach (var item in vocab)
|
|
@@ -158,23 +161,7 @@ public class RunPhi15 : MonoBehaviour
|
|
| 158 |
tokens[item.Value] = item.Key;
|
| 159 |
}
|
| 160 |
|
| 161 |
-
merges = File.ReadAllLines(Application.streamingAssetsPath
|
| 162 |
-
}
|
| 163 |
-
|
| 164 |
-
|
| 165 |
-
int SelectRandomToken(float[] probs)
|
| 166 |
-
{
|
| 167 |
-
float p = UnityEngine.Random.Range(0, 1f);
|
| 168 |
-
float t = 0;
|
| 169 |
-
for (int i = 0; i < probs.Length; i++)
|
| 170 |
-
{
|
| 171 |
-
t += probs[i];
|
| 172 |
-
if (p < t)
|
| 173 |
-
{
|
| 174 |
-
return i;
|
| 175 |
-
}
|
| 176 |
-
}
|
| 177 |
-
return probs.Length - 1;
|
| 178 |
}
|
| 179 |
|
| 180 |
// Translates encoded special characters to Unicode
|
|
@@ -215,7 +202,7 @@ public class RunPhi15 : MonoBehaviour
|
|
| 215 |
for (int i = 0, n = 0; i < 256; i++)
|
| 216 |
{
|
| 217 |
encodedCharacters[i] = i;
|
| 218 |
-
if (IsWhiteSpace(
|
| 219 |
{
|
| 220 |
encodedCharacters[i] = n + 256;
|
| 221 |
whiteSpaceCharacters[n++] = i;
|
|
@@ -223,9 +210,10 @@ public class RunPhi15 : MonoBehaviour
|
|
| 223 |
}
|
| 224 |
}
|
| 225 |
|
| 226 |
-
bool IsWhiteSpace(
|
| 227 |
{
|
| 228 |
-
|
|
|
|
| 229 |
}
|
| 230 |
|
| 231 |
List<int> GetTokens(string text)
|
|
@@ -276,7 +264,6 @@ public class RunPhi15 : MonoBehaviour
|
|
| 276 |
private void OnDestroy()
|
| 277 |
{
|
| 278 |
engine?.Dispose();
|
| 279 |
-
ops?.Dispose();
|
| 280 |
-
allocator?.Dispose();
|
| 281 |
}
|
|
|
|
| 282 |
}
|
|
|
|
| 3 |
using UnityEngine;
|
| 4 |
using Unity.Sentis;
|
| 5 |
using System.IO;
|
|
|
|
| 6 |
using System.Text;
|
| 7 |
+
using FF = Unity.Sentis.Functional;
|
| 8 |
|
| 9 |
/*
|
| 10 |
+
* Phi1.5 Inference Code
|
| 11 |
+
* ===========================
|
| 12 |
*
|
| 13 |
* Put this script on the Main Camera
|
| 14 |
*
|
| 15 |
* In Assets/StreamingAssets put:
|
| 16 |
*
|
| 17 |
+
* phi15.sentis (or put in asset folder)
|
| 18 |
* vocab.json
|
| 19 |
* merges.txt
|
| 20 |
*
|
|
|
|
| 24 |
*/
|
| 25 |
|
| 26 |
|
| 27 |
+
public class RunPhi15: MonoBehaviour
|
| 28 |
{
|
| 29 |
+
//Drop the tinystories.sentis or onnx file on here if using an asset:
|
| 30 |
+
//public ModelAsset asset;
|
| 31 |
const BackendType backend = BackendType.GPUCompute;
|
| 32 |
+
|
| 33 |
+
//string outputString = "Once upon a time, there were three bears";
|
| 34 |
+
string outputString = "One day an alien came down from Mars. It saw a chicken";
|
|
|
|
| 35 |
|
| 36 |
// This is how many tokens you want. It can be adjusted.
|
| 37 |
const int maxTokens = 100;
|
| 38 |
|
| 39 |
//Make this smaller for more randomness
|
| 40 |
+
const float predictability = 5f;
|
| 41 |
|
| 42 |
//Special tokens
|
| 43 |
const int END_OF_TEXT = 50256;
|
| 44 |
|
|
|
|
|
|
|
|
|
|
| 45 |
//Store the vocabulary
|
| 46 |
string[] tokens;
|
| 47 |
|
|
|
|
| 58 |
|
| 59 |
|
| 60 |
//stop after this many tokens
|
| 61 |
+
const int stopAfter = 100;
|
| 62 |
|
| 63 |
int totalTokens = 0;
|
| 64 |
|
|
|
|
| 67 |
|
| 68 |
void Start()
|
| 69 |
{
|
|
|
|
|
|
|
|
|
|
| 70 |
SetupWhiteSpaceShifts();
|
| 71 |
|
| 72 |
LoadVocabulary();
|
|
|
|
|
|
|
|
|
|
| 73 |
|
| 74 |
+
var model1 = ModelLoader.Load(Path.Join(Application.streamingAssetsPath , "phi15.sentis"));
|
| 75 |
+
|
| 76 |
+
int outputIndex = model1.outputs.Count - 1;
|
| 77 |
+
//var model1 = ModelLoader.Load(asset);
|
| 78 |
+
//Create a new model to select the random token:
|
| 79 |
+
var model2 = FF.Compile(
|
| 80 |
+
(input, currentToken) =>
|
| 81 |
+
{
|
| 82 |
+
var row = FF.Select(model1.Forward(input)[outputIndex], 1, currentToken);
|
| 83 |
+
return FF.Multinomial(predictability * row, 1);
|
| 84 |
+
},
|
| 85 |
+
(model1.inputs[0], InputDef.Int(new TensorShape()))
|
| 86 |
+
);
|
| 87 |
+
|
| 88 |
+
engine = WorkerFactory.CreateWorker(backend, model2);
|
| 89 |
|
|
|
|
|
|
|
|
|
|
| 90 |
DecodePrompt(outputString);
|
| 91 |
+
|
| 92 |
runInference = true;
|
| 93 |
}
|
| 94 |
|
|
|
|
| 104 |
void RunInference()
|
| 105 |
{
|
| 106 |
using var tokensSoFar = new TensorInt(new TensorShape(1, maxTokens), outputTokens);
|
| 107 |
+
using var index = new TensorInt(currentToken);
|
| 108 |
|
| 109 |
+
engine.Execute(new Dictionary<string, Tensor> { {"input_0", tokensSoFar }, { "input_1", index }});
|
| 110 |
|
| 111 |
+
var probs = engine.PeekOutput() as TensorInt;
|
| 112 |
+
//Debug.Log(probs.shape);
|
| 113 |
|
| 114 |
+
probs.CompleteOperationsAndDownload();
|
|
|
|
|
|
|
|
|
|
| 115 |
|
| 116 |
+
int ID = probs[0];
|
| 117 |
|
| 118 |
+
//shift window down if got to the end
|
| 119 |
if (currentToken >= maxTokens - 1)
|
| 120 |
{
|
| 121 |
for (int i = 0; i < maxTokens - 1; i++) outputTokens[i] = outputTokens[i + 1];
|
|
|
|
| 137 |
else outputString += GetUnicodeText(tokens[ID]);
|
| 138 |
|
| 139 |
Debug.Log(outputString);
|
| 140 |
+
|
| 141 |
}
|
| 142 |
|
| 143 |
void DecodePrompt(string text)
|
|
|
|
| 151 |
currentToken = inputTokens.Count - 1;
|
| 152 |
}
|
| 153 |
|
|
|
|
| 154 |
void LoadVocabulary()
|
| 155 |
{
|
| 156 |
+
var jsonText = File.ReadAllText(Path.Join(Application.streamingAssetsPath , "vocab.json"));
|
| 157 |
vocab = Newtonsoft.Json.JsonConvert.DeserializeObject<Dictionary<string, int>>(jsonText);
|
| 158 |
tokens = new string[vocab.Count];
|
| 159 |
foreach (var item in vocab)
|
|
|
|
| 161 |
tokens[item.Value] = item.Key;
|
| 162 |
}
|
| 163 |
|
| 164 |
+
merges = File.ReadAllLines(Path.Join(Application.streamingAssetsPath , "merges.txt"));
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 165 |
}
|
| 166 |
|
| 167 |
// Translates encoded special characters to Unicode
|
|
|
|
| 202 |
for (int i = 0, n = 0; i < 256; i++)
|
| 203 |
{
|
| 204 |
encodedCharacters[i] = i;
|
| 205 |
+
if (IsWhiteSpace(i))
|
| 206 |
{
|
| 207 |
encodedCharacters[i] = n + 256;
|
| 208 |
whiteSpaceCharacters[n++] = i;
|
|
|
|
| 210 |
}
|
| 211 |
}
|
| 212 |
|
| 213 |
+
bool IsWhiteSpace(int i)
|
| 214 |
{
|
| 215 |
+
//returns true if it is a whitespace character
|
| 216 |
+
return i <= 32 || (i >= 127 && i <= 160) || i == 173;
|
| 217 |
}
|
| 218 |
|
| 219 |
List<int> GetTokens(string text)
|
|
|
|
| 264 |
private void OnDestroy()
|
| 265 |
{
|
| 266 |
engine?.Dispose();
|
|
|
|
|
|
|
| 267 |
}
|
| 268 |
+
|
| 269 |
}
|