aprender-serve 0.65.2

Pure Rust ML inference engine built from scratch - model serving for GGUF and safetensors
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
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433

#[test]
fn test_generate_config_custom() {
    let config = GenerateConfig {
        max_tokens: 100,
        temperature: 0.7,
        top_p: 0.95,
        top_k: 50,
        repetition_penalty: 1.1,
        trace: false,
        stop_tokens: vec![],
        cancel: crate::generate::CancelToken::never(),
    };

    assert_eq!(config.max_tokens, 100);
    assert!((config.temperature - 0.7).abs() < 1e-6);
    assert!((config.top_p - 0.95).abs() < 1e-6);
    assert_eq!(config.top_k, 50);
    assert!((config.repetition_penalty - 1.1).abs() < 1e-6);
}

#[test]
fn test_generate_config_clone() {
    let original = GenerateConfig {
        max_tokens: 50,
        temperature: 0.5,
        top_p: 0.8,
        top_k: 40,
        repetition_penalty: 1.2,
        trace: false,
        stop_tokens: vec![],
        cancel: crate::generate::CancelToken::never(),
    };

    let cloned = original.clone();

    assert_eq!(cloned.max_tokens, original.max_tokens);
    assert!((cloned.temperature - original.temperature).abs() < 1e-6);
}

#[test]
fn test_generate_config_debug() {
    let config = GenerateConfig::default();
    let debug_str = format!("{:?}", config);

    assert!(debug_str.contains("max_tokens"));
    assert!(debug_str.contains("temperature"));
}

// ============================================================================
// Part 5: AprTransformerConfig Tests
// ============================================================================

#[test]
fn test_transformer_config_default() {
    let config = AprTransformerConfig::default();

    assert_eq!(config.architecture, "unknown");
    assert_eq!(config.hidden_dim, 512);
    assert_eq!(config.num_layers, 6);
    assert_eq!(config.num_heads, 8);
    assert_eq!(config.num_kv_heads, 8);
    assert_eq!(config.vocab_size, 32000);
    assert_eq!(config.intermediate_dim, 2048);
    assert_eq!(config.context_length, 2048);
    assert!((config.rope_theta - 10000.0).abs() < 1e-6);
    assert!((config.eps - 1e-5).abs() < 1e-9);
}

#[test]
fn test_transformer_config_custom() {
    let config = AprTransformerConfig {
        architecture: "llama".to_string(),
        hidden_dim: 4096,
        num_layers: 32,
        num_heads: 32,
        num_kv_heads: 8,
        vocab_size: 128000,
        intermediate_dim: 14336,
        context_length: 8192,
        rope_theta: 500000.0,
        eps: 1e-6,
            eos_token_id: None,
    ..Default::default()
    };

    assert_eq!(config.architecture, "llama");
    assert_eq!(config.hidden_dim, 4096);
    assert_eq!(config.num_layers, 32);
    assert_eq!(config.num_kv_heads, 8); // GQA
}

#[test]
fn test_transformer_config_serialization() {
    let config = create_test_apr_config();

    // Serialize to JSON
    let json = serde_json::to_string(&config).expect("JSON serialization failed");

    // Deserialize
    let recovered: AprTransformerConfig = serde_json::from_str(&json).expect("JSON deserialization failed");

    assert_eq!(config, recovered);
}

#[test]
fn test_transformer_config_clone() {
    let original = create_test_apr_config();
    let cloned = original.clone();

    assert_eq!(original, cloned);
}

#[test]
fn test_transformer_config_debug() {
    let config = create_test_apr_config();
    let debug_str = format!("{:?}", config);

    assert!(debug_str.contains("hidden_dim"));
    assert!(debug_str.contains("num_layers"));
}

// ============================================================================
// Part 6: AprTransformerLayer Tests
// ============================================================================

#[test]
fn test_layer_empty() {
    let layer = AprTransformerLayer::empty(64, 128);

    assert_eq!(layer.attn_norm_weight.len(), 64);
    assert!(layer
        .attn_norm_weight
        .iter()
        .all(|&x| (x - 1.0).abs() < 1e-6));

    assert_eq!(layer.qkv_weight.len(), 64 * 3 * 64);
    assert!(layer.qkv_weight.iter().all(|&x| x == 0.0));

    assert_eq!(layer.attn_output_weight.len(), 64 * 64);
    assert_eq!(layer.ffn_up_weight.len(), 64 * 128);
    assert_eq!(layer.ffn_down_weight.len(), 128 * 64);

    assert!(layer.attn_norm_bias.is_none());
    assert!(layer.qkv_bias.is_none());
    assert!(layer.ffn_gate_weight.is_none());
}

#[test]
fn test_layer_empty_gqa() {
    let hidden_dim = 64;
    let num_heads = 8;
    let num_kv_heads = 2;
    let intermediate_dim = 128;

    let layer =
        AprTransformerLayer::empty_gqa(hidden_dim, num_heads, num_kv_heads, intermediate_dim);

    // For GQA: QKV = Q + K + V = hidden_dim + kv_dim + kv_dim
    let head_dim = hidden_dim / num_heads;
    let kv_dim = num_kv_heads * head_dim;
    let qkv_out_dim = hidden_dim + 2 * kv_dim;

    assert_eq!(layer.qkv_weight.len(), hidden_dim * qkv_out_dim);
    assert_eq!(layer.attn_output_weight.len(), hidden_dim * hidden_dim);
}

#[test]
fn test_layer_num_parameters() {
    let layer = AprTransformerLayer::empty(64, 128);
    let params = layer.num_parameters();

    // attn_norm (64) + qkv (64*192) + attn_out (64*64) + ffn_up (64*128) + ffn_down (128*64)
    let expected = 64 + (64 * 3 * 64) + (64 * 64) + (64 * 128) + (128 * 64);
    assert_eq!(params, expected);
}

#[test]
fn test_layer_num_parameters_with_optionals() {
    let mut layer = AprTransformerLayer::empty(64, 128);

    // Add optional fields
    layer.attn_norm_bias = Some(vec![0.0; 64]);
    layer.qkv_bias = Some(vec![0.0; 64 * 3]);
    layer.ffn_gate_weight = Some(vec![0.0; 64 * 128]);
    layer.ffn_norm_weight = Some(vec![1.0; 64]);

    let params = layer.num_parameters();

    // Base params + optionals
    let base = 64 + (64 * 3 * 64) + (64 * 64) + (64 * 128) + (128 * 64);
    let optionals = 64 + (64 * 3) + (64 * 128) + 64;
    assert_eq!(params, base + optionals);
}

#[test]
fn test_layer_serialization() {
    let layer = AprTransformerLayer::empty(32, 64);

    // Serialize to JSON
    let json = serde_json::to_string(&layer).expect("JSON serialization failed");

    // Deserialize
    let recovered: AprTransformerLayer = serde_json::from_str(&json).expect("JSON deserialization failed");

    assert_eq!(
        layer.attn_norm_weight.len(),
        recovered.attn_norm_weight.len()
    );
    assert_eq!(layer.qkv_weight.len(), recovered.qkv_weight.len());
}

// ============================================================================
// Part 7: Q4KLayerWeights Tests
// ============================================================================

#[test]
fn test_q4k_layer_weights_default() {
    let weights = Q4KLayerWeights::default();

    assert!(weights.qkv_weight.is_none());
    assert!(weights.attn_q_weight.is_none());
    assert!(weights.attn_k_weight.is_none());
    assert!(weights.attn_v_weight.is_none());
    assert!(weights.attn_v_weight_q6k.is_none());
    assert!(weights.attn_output_weight.is_none());
    assert!(weights.ffn_gate_weight.is_none());
    assert!(weights.ffn_up_weight.is_none());
    assert!(weights.ffn_down_weight.is_none());
    assert!(weights.ffn_down_weight_q6k.is_none());
    assert!(weights.ffn_up_weight_q6k.is_none());
}

#[test]
fn test_q4k_layer_weights_with_data() {
    let weights = Q4KLayerWeights {
        qkv_weight: Some(vec![0u8; 144]), // 1 Q4_K block
        attn_q_weight: Some(vec![0u8; 144]),
        attn_k_weight: Some(vec![0u8; 144]),
        attn_v_weight: Some(vec![0u8; 144]),
        attn_v_weight_q6k: Some(vec![0u8; 210]),
        attn_output_weight: Some(vec![0u8; 144]),
        ffn_gate_weight: Some(vec![0u8; 144]),
        ffn_up_weight: Some(vec![0u8; 144]),
        ffn_down_weight: Some(vec![0u8; 144]),
        ffn_down_weight_q6k: Some(vec![0u8; 210]),
        ffn_up_weight_q6k: Some(vec![0u8; 210]),
    };

    assert!(weights.qkv_weight.is_some());
    assert_eq!(weights.qkv_weight.as_ref().expect("test value should be present").len(), 144);
    assert!(weights.attn_v_weight_q6k.is_some());
    assert_eq!(weights.attn_v_weight_q6k.as_ref().expect("test value should be present").len(), 210);
}

#[test]
fn test_q4k_layer_weights_serialization() {
    let weights = Q4KLayerWeights {
        attn_q_weight: Some(vec![1u8, 2, 3]),
        ..Default::default()
    };

    let json = serde_json::to_string(&weights).expect("JSON serialization failed");
    let recovered: Q4KLayerWeights = serde_json::from_str(&json).expect("JSON deserialization failed");

    assert_eq!(weights.attn_q_weight, recovered.attn_q_weight);
}

#[test]
fn test_q4k_layer_weights_clone() {
    let original = Q4KLayerWeights {
        ffn_up_weight: Some(vec![42u8; 100]),
        ..Default::default()
    };

    let cloned = original.clone();
    assert_eq!(original.ffn_up_weight, cloned.ffn_up_weight);
}

// ============================================================================
// Part 8: Dequantization Tests
// ============================================================================

#[test]
fn test_f16_to_f32_zero() {
    use super::super::dequant::f16_to_f32;

    // Positive zero
    assert_eq!(f16_to_f32(0x0000), 0.0);
    // Negative zero
    assert_eq!(f16_to_f32(0x8000), -0.0);
}

#[test]
fn test_f16_to_f32_one() {
    use super::super::dequant::f16_to_f32;

    // 1.0 in f16 = 0x3C00 (sign=0, exp=15, mant=0)
    let result = f16_to_f32(0x3C00);
    assert!((result - 1.0).abs() < 1e-6);
}

#[test]
fn test_f16_to_f32_negative_one() {
    use super::super::dequant::f16_to_f32;

    // -1.0 in f16 = 0xBC00 (sign=1, exp=15, mant=0)
    let result = f16_to_f32(0xBC00);
    assert!((result - (-1.0)).abs() < 1e-6);
}

#[test]
fn test_f16_to_f32_infinity() {
    use super::super::dequant::f16_to_f32;

    // +Inf in f16 = 0x7C00 (sign=0, exp=31, mant=0)
    let result = f16_to_f32(0x7C00);
    assert!(result.is_infinite() && result.is_sign_positive());

    // -Inf in f16 = 0xFC00 (sign=1, exp=31, mant=0)
    let result_neg = f16_to_f32(0xFC00);
    assert!(result_neg.is_infinite() && result_neg.is_sign_negative());
}

#[test]
fn test_f16_to_f32_nan() {
    use super::super::dequant::f16_to_f32;

    // NaN in f16 = 0x7C01 (sign=0, exp=31, mant!=0)
    let result = f16_to_f32(0x7C01);
    assert!(result.is_nan());
}

#[test]
fn test_f16_to_f32_subnormal() {
    use super::super::dequant::f16_to_f32;

    // Smallest positive subnormal: exp=0, mant=1
    let result = f16_to_f32(0x0001);
    assert!(result > 0.0);
    assert!(result < 1e-4); // Very small number
}

#[test]
fn test_f16_to_f32_normal_range() {
    use super::super::dequant::f16_to_f32;

    // 2.0 in f16 = 0x4000 (sign=0, exp=16, mant=0)
    let result = f16_to_f32(0x4000);
    assert!((result - 2.0).abs() < 1e-4);

    // 0.5 in f16 = 0x3800 (sign=0, exp=14, mant=0)
    let result_half = f16_to_f32(0x3800);
    assert!((result_half - 0.5).abs() < 1e-4);
}

#[test]
fn test_extract_scale_min_first_4_blocks() {
    use super::super::dequant::extract_scale_min_apr;

    // 12-byte scales array
    let scales = [
        0b00111111u8,
        0b00111110,
        0b00111101,
        0b00111100, // first 4 bytes (low 6 bits)
        0b00101010,
        0b00101011,
        0b00101100,
        0b00101101, // second 4 bytes (min values)
        0,
        0,
        0,
        0, // last 4 bytes (high bits)
    ];

    // Block 0: scale = scales[0] & 63 = 63, min = scales[4] & 63 = 42
    let (scale, min) = extract_scale_min_apr(&scales, 0);
    assert_eq!(scale, 63.0);
    assert_eq!(min, 42.0);

    // Block 1
    let (scale, min) = extract_scale_min_apr(&scales, 1);
    assert_eq!(scale, 62.0);
    assert_eq!(min, 43.0);
}

#[test]
fn test_extract_scale_min_last_4_blocks() {
    use super::super::dequant::extract_scale_min_apr;

    // Construct scales for blocks 4-7 (packed layout)
    let scales = [
        0b11_000001u8,
        0b11_000010,
        0b11_000011,
        0b11_000100, // first 4 (high bits used for 4-7)
        0b11_000101,
        0b11_000110,
        0b11_000111,
        0b11_001000, // second 4 (mins for 0-3)
        0x15,
        0x26,
        0x37,
        0x48, // last 4 (scale/min for 4-7 low bits)
    ];

    // Block 4: uses packed layout
    // d = (scales[8] & 0x0F) | ((scales[0] >> 6) << 4) = (0x15 & 0x0F) | (0b11 << 4) = 5 | 48 = 53
    let (scale, _min) = extract_scale_min_apr(&scales, 4);
    assert_eq!(scale, 53.0);
}

#[test]
fn test_dequantize_q4_k_empty() {
    use super::super::dequant::dequantize_q4_k_apr;

    let result = dequantize_q4_k_apr(&[], 0);
    assert!(result.is_empty());
}

#[test]
fn test_dequantize_q4_k_insufficient_data() {
    use super::super::dequant::dequantize_q4_k_apr;

    // Request 256 elements but provide only 10 bytes (need 144)
    let data = vec![0u8; 10];
    let result = dequantize_q4_k_apr(&data, 256);

    // Should return zeros
    assert_eq!(result.len(), 256);
    assert!(result.iter().all(|&x| x == 0.0));
}