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 |
}
|