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29ac347 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 | using NUnit.Framework;
using Unity.InferenceEngine;
using Unity.MLAgents.Sensors;
using Unity.MLAgents.Inference;
using UnityEngine;
namespace Unity.MLAgents.Tests
{
public class ObservationWriterTests
{
static TensorProxy MakeTensorProxy(int batch, int width)
{
return new TensorProxy
{
valueType = TensorProxy.TensorType.FloatingPoint,
data = new Tensor<float>(new TensorShape(batch, width))
};
}
[Test]
public void TestWritesToIList()
{
ObservationWriter writer = new ObservationWriter();
var buffer = new[] { 0f, 0f, 0f };
var shape = new InplaceArray<int>(3);
writer.SetTarget(buffer, shape, 0);
// Elementwise writes
writer[0] = 1f;
writer[2] = 2f;
Assert.AreEqual(new[] { 1f, 0f, 2f }, buffer);
// Elementwise writes with offset
writer.SetTarget(buffer, shape, 1);
writer[0] = 3f;
Assert.AreEqual(new[] { 1f, 3f, 2f }, buffer);
// AddList
writer.SetTarget(buffer, shape, 0);
writer.AddList(new[] { 4f, 5f });
Assert.AreEqual(new[] { 4f, 5f, 2f }, buffer);
// AddList with offset
writer.SetTarget(buffer, shape, 1);
writer.AddList(new[] { 6f, 7f });
Assert.AreEqual(new[] { 4f, 6f, 7f }, buffer);
}
[Test]
public void TestWritesToTensor()
{
ObservationWriter writer = new ObservationWriter();
var t = new TensorProxy
{
valueType = TensorProxy.TensorType.FloatingPoint,
data = new Tensor<float>(new TensorShape(2, 3))
};
writer.SetTarget(t, 0, 0);
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 0]);
writer[0] = 1f;
Assert.AreEqual(1f, ((Tensor<float>)t.data)[0, 0]);
writer.SetTarget(t, 1, 1);
writer[0] = 2f;
writer[1] = 3f;
// [0, 0] shouldn't change
Assert.AreEqual(1f, ((Tensor<float>)t.data)[0, 0]);
Assert.AreEqual(2f, ((Tensor<float>)t.data)[1, 1]);
Assert.AreEqual(3f, ((Tensor<float>)t.data)[1, 2]);
// AddList
t = new TensorProxy
{
valueType = TensorProxy.TensorType.FloatingPoint,
data = new Tensor<float>(new TensorShape(2, 3))
};
writer.SetTarget(t, 1, 1);
writer.AddList(new[] { -1f, -2f });
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 0]);
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 1]);
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 2]);
Assert.AreEqual(0f, ((Tensor<float>)t.data)[1, 0]);
Assert.AreEqual(-1f, ((Tensor<float>)t.data)[1, 1]);
Assert.AreEqual(-2f, ((Tensor<float>)t.data)[1, 2]);
}
[Test]
public void TestWritesToTensor3D()
{
ObservationWriter writer = new ObservationWriter();
var t = new TensorProxy
{
valueType = TensorProxy.TensorType.FloatingPoint,
data = new Tensor<float>(new TensorShape(2, 3, 2, 2))
};
writer.SetTarget(t, 0, 0);
writer[1, 1, 0] = 1f;
Assert.AreEqual(1f, ((Tensor<float>)t.data)[0, 1, 1, 0]);
writer.SetTarget(t, 0, 1);
writer[0, 1, 0] = 2f;
Assert.AreEqual(2f, ((Tensor<float>)t.data)[0, 1, 1, 0]);
}
[Test]
public void TestTensorBoundsClamp_1DIndexer()
{
var writer = new ObservationWriter();
var t = MakeTensorProxy(1, 3);
writer.SetTarget(t, 0, 0);
writer[0] = 1f;
writer[1] = 2f;
writer[2] = 3f;
// Index 3 is out of bounds — must be silently dropped, not crash
writer[3] = 99f;
writer[100] = 99f;
Assert.AreEqual(1f, ((Tensor<float>)t.data)[0, 0]);
Assert.AreEqual(2f, ((Tensor<float>)t.data)[0, 1]);
Assert.AreEqual(3f, ((Tensor<float>)t.data)[0, 2]);
}
[Test]
public void TestTensorBoundsClamp_1DIndexerWithOffset()
{
var writer = new ObservationWriter();
var t = MakeTensorProxy(1, 4);
writer.SetTarget(t, 0, 2);
writer[0] = 10f;
writer[1] = 11f;
// offset(2) + index(2) = 4 => out of bounds
writer[2] = 99f;
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 0]);
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 1]);
Assert.AreEqual(10f, ((Tensor<float>)t.data)[0, 2]);
Assert.AreEqual(11f, ((Tensor<float>)t.data)[0, 3]);
}
[Test]
public void TestTensorBoundsClamp_AddList()
{
var writer = new ObservationWriter();
var t = MakeTensorProxy(1, 3);
writer.SetTarget(t, 0, 1);
// List has 5 elements but only 2 slots remain (capacity 3, offset 1)
writer.AddList(new[] { 10f, 20f, 30f, 40f, 50f });
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 0]);
Assert.AreEqual(10f, ((Tensor<float>)t.data)[0, 1]);
Assert.AreEqual(20f, ((Tensor<float>)t.data)[0, 2]);
}
[Test]
public void TestTensorBoundsClamp_AddListWithWriteOffset()
{
var writer = new ObservationWriter();
var t = MakeTensorProxy(1, 4);
writer.SetTarget(t, 0, 1);
// offset=1, writeOffset=2 => start at 3, only 1 slot left
writer.AddList(new[] { 10f, 20f, 30f }, 2);
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 0]);
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 1]);
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 2]);
Assert.AreEqual(10f, ((Tensor<float>)t.data)[0, 3]);
}
[Test]
public void TestTensorBoundsClamp_Vector3()
{
var writer = new ObservationWriter();
// Only 2 slots — Vector3 needs 3
var t = MakeTensorProxy(1, 2);
writer.SetTarget(t, 0, 0);
writer.Add(new Vector3(1f, 2f, 3f));
Assert.AreEqual(1f, ((Tensor<float>)t.data)[0, 0]);
Assert.AreEqual(2f, ((Tensor<float>)t.data)[0, 1]);
// Third component silently dropped
}
[Test]
public void TestTensorBoundsClamp_Vector3AtCapacity()
{
var writer = new ObservationWriter();
var t = MakeTensorProxy(1, 3);
// offset=3 means 0 slots remain
writer.SetTarget(t, 0, 3);
writer.Add(new Vector3(1f, 2f, 3f));
// All three slots should be untouched (zero)
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 0]);
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 1]);
Assert.AreEqual(0f, ((Tensor<float>)t.data)[0, 2]);
}
[Test]
public void TestTensorBoundsClamp_Vector4()
{
var writer = new ObservationWriter();
// Only 2 slots — Vector4 needs 4
var t = MakeTensorProxy(1, 2);
writer.SetTarget(t, 0, 0);
writer.Add(new Vector4(1f, 2f, 3f, 4f));
Assert.AreEqual(1f, ((Tensor<float>)t.data)[0, 0]);
Assert.AreEqual(2f, ((Tensor<float>)t.data)[0, 1]);
}
[Test]
public void TestTensorBoundsClamp_Quaternion()
{
var writer = new ObservationWriter();
// Only 3 slots — Quaternion needs 4
var t = MakeTensorProxy(1, 3);
writer.SetTarget(t, 0, 0);
writer.Add(new Quaternion(1f, 2f, 3f, 4f));
Assert.AreEqual(1f, ((Tensor<float>)t.data)[0, 0]);
Assert.AreEqual(2f, ((Tensor<float>)t.data)[0, 1]);
Assert.AreEqual(3f, ((Tensor<float>)t.data)[0, 2]);
}
[Test]
public void TestTensorBoundsClamp_3DIndexer()
{
var writer = new ObservationWriter();
// Shape: [1, 2, 3, 4] => 2 channels, 3 height, 4 width
var t = new TensorProxy
{
valueType = TensorProxy.TensorType.FloatingPoint,
data = new Tensor<float>(new TensorShape(1, 2, 3, 4))
};
writer.SetTarget(t, 0, 0);
// Valid write
writer[0, 0, 0] = 1f;
Assert.AreEqual(1f, ((Tensor<float>)t.data)[0, 0, 0, 0]);
// Out-of-bounds channel — silently dropped
writer[2, 0, 0] = 99f;
// Out-of-bounds height — silently dropped
writer[0, 3, 0] = 99f;
// Out-of-bounds width — silently dropped
writer[0, 0, 4] = 99f;
// Negative height — silently dropped
writer[0, -1, 0] = 99f;
// Original value unchanged
Assert.AreEqual(1f, ((Tensor<float>)t.data)[0, 0, 0, 0]);
}
[Test]
public void TestTensorBoundsClamp_InBoundsWritesStillWork()
{
var writer = new ObservationWriter();
var t = MakeTensorProxy(2, 5);
// Verify normal in-bounds writes are unaffected by the guards
writer.SetTarget(t, 0, 0);
writer.AddList(new[] { 1f, 2f, 3f, 4f, 5f });
writer.SetTarget(t, 1, 0);
writer.Add(new Vector3(10f, 20f, 30f));
writer[3] = 40f;
writer[4] = 50f;
for (var i = 0; i < 5; i++)
Assert.AreEqual(i + 1f, ((Tensor<float>)t.data)[0, i]);
Assert.AreEqual(10f, ((Tensor<float>)t.data)[1, 0]);
Assert.AreEqual(20f, ((Tensor<float>)t.data)[1, 1]);
Assert.AreEqual(30f, ((Tensor<float>)t.data)[1, 2]);
Assert.AreEqual(40f, ((Tensor<float>)t.data)[1, 3]);
Assert.AreEqual(50f, ((Tensor<float>)t.data)[1, 4]);
}
}
}
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