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3fd9ca4 c3633b1 3fd9ca4 | 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 | import { describe, expect, it, vi } from 'vitest';
import type { BackendReport } from './native-log';
import { BrowserEngineRuntime } from './runtime';
interface RawCompletionOptions {
prompt: number[];
max_tokens: number;
temperature: number;
top_k: number;
logprobs: number;
logit_bias: Record<string, number>;
cache_prompt: boolean;
post_sampling_probs: boolean;
abortSignal: AbortSignal;
}
interface RuntimeInternals {
wllama: {
isModelLoaded(): boolean;
createCompletion(options: RawCompletionOptions): Promise<unknown>;
} | null;
loaded: {
manifest: unknown;
backend: 'webgpu';
tuningScope: 'benchmark';
contextSize: number;
batchSize: number;
microBatchSize: number;
vocabularySize: number;
model: {
id: '27b';
displayName: string;
cpuFallback: false;
runtimePolicy: {
flashAttention: false;
tokenEmbeddingOnWebGPU: true;
requireSingleWebGPUGraph: true;
};
};
} | null;
nativeLog: {
report(): BackendReport;
};
}
const backendReport: BackendReport = {
backends: ['WebGPU'],
nGraphSplits: 1,
opsOnCpu: 0,
layersGpu: { offloaded: 65, total: 65 },
flashAttention: false,
cacheTypeK: 'f16',
cacheTypeV: 'f16',
webgpuKvBufferBytes: 128 * 1024 ** 2,
webgpuTrace: [],
};
function configuredRuntime(createCompletion: (options: RawCompletionOptions) => Promise<unknown>) {
const runtime = new BrowserEngineRuntime();
const internals = runtime as unknown as RuntimeInternals;
internals.loaded = {
manifest: {},
backend: 'webgpu',
tuningScope: 'benchmark',
contextSize: 2_048,
batchSize: 32,
microBatchSize: 16,
vocabularySize: 248_320,
model: {
id: '27b',
displayName: 'Fixture Bonsai 27B',
cpuFallback: false,
runtimePolicy: {
flashAttention: false,
tokenEmbeddingOnWebGPU: true,
requireSingleWebGPUGraph: true,
},
},
};
internals.wllama = { isModelLoaded: () => true, createCompletion };
vi.spyOn(internals.nativeLog, 'report').mockReturnValue(backendReport);
return runtime;
}
describe('BrowserEngineRuntime teacher-forced scoring', () => {
it('scores the exact CPU sequence with raw token prefixes and keeps natural top-1 separate', async () => {
const calls: RawCompletionOptions[] = [];
const createCompletion = vi.fn(async (options: RawCompletionOptions) => {
calls.push(options);
const index = options.prompt.length - 38;
const referenceId = Number(Object.keys(options.logit_bias)[0]);
const naturalTop1Id = index === 29 ? referenceId + 10 : referenceId;
const candidates = index === 29
? [
{ id: naturalTop1Id, token: 'natural', logprob: -0.01, bytes: null },
{ id: referenceId, token: 'reference', logprob: -0.02, bytes: null },
{ id: referenceId + 20, token: 'third', logprob: -1, bytes: null },
{ id: referenceId + 21, token: 'fourth', logprob: -2, bytes: null },
{ id: referenceId + 22, token: 'fifth', logprob: -3, bytes: null },
]
: [
{ id: referenceId, token: 'reference', logprob: -0.01, bytes: null },
{ id: referenceId + 10, token: 'second', logprob: -0.02, bytes: null },
{ id: referenceId + 20, token: 'third', logprob: -1, bytes: null },
{ id: referenceId + 21, token: 'fourth', logprob: -2, bytes: null },
{ id: referenceId + 22, token: 'fifth', logprob: -3, bytes: null },
];
return {
choices: [{
text: 'forced',
finish_reason: 'length',
logprobs: {
content: [{
id: referenceId,
token: 'reference',
logprob: index === 29 ? -0.02 : -0.01,
bytes: null,
top_logprobs: candidates,
}],
},
}],
};
});
const runtime = configuredRuntime(createCompletion);
const promptTokenIds = Array.from({ length: 38 }, (_, index) => index + 1);
const referenceTokenIds = Array.from({ length: 1_024 }, (_, index) => index + 1_000);
const result = await runtime.scoreSequence({
promptTokenIds,
referenceTokenIds,
topK: 5,
}, new AbortController().signal);
expect(createCompletion).toHaveBeenCalledTimes(1_024);
expect(calls[0]).toMatchObject({
prompt: promptTokenIds,
max_tokens: 1,
temperature: 0,
top_k: 1,
logprobs: 5,
logit_bias: { '1000': 1_000 },
cache_prompt: false,
post_sampling_probs: false,
});
expect(calls[1]).toMatchObject({
prompt: [...promptTokenIds, 1_000],
cache_prompt: true,
});
expect(calls.at(-1)?.prompt).toEqual([
...promptTokenIds,
...referenceTokenIds.slice(0, -1),
]);
expect(result.entries[29]).toMatchObject({
index: 29,
selectedReference: { id: 1_029, logprob: -0.02 },
naturalTop1: { id: 1_039, logprob: -0.01 },
referenceRankInTopCandidatesZeroBased: 1,
top1Top2Margin: 0.01,
});
expect(result.summary.tokenCount).toBe(1_024);
expect(result.summary.meanNll).toBeCloseTo((1_023 * 0.01 + 0.02) / 1_024, 12);
expect(result.summary.perplexity).toBeCloseTo(Math.exp(result.summary.meanNll), 12);
});
it('honors an already-aborted diagnostic request before the first raw completion', async () => {
const createCompletion = vi.fn(async () => ({}));
const runtime = configuredRuntime(createCompletion);
const controller = new AbortController();
controller.abort();
await expect(runtime.scoreSequence({
promptTokenIds: Array.from({ length: 38 }, (_, index) => index + 1),
referenceTokenIds: Array.from({ length: 1_024 }, (_, index) => index + 1_000),
topK: 5,
}, controller.signal)).rejects.toMatchObject({ name: 'AbortError' });
expect(createCompletion).not.toHaveBeenCalled();
});
it('fails loudly when logit bias does not return the fixed reference token', async () => {
const runtime = configuredRuntime(async (options) => {
const referenceId = Number(Object.keys(options.logit_bias)[0]);
const selectedId = referenceId + 1;
return {
choices: [{
logprobs: {
content: [{
id: selectedId,
logprob: -0.01,
top_logprobs: [
{ id: selectedId, logprob: -0.01 },
{ id: referenceId, logprob: -0.02 },
{ id: referenceId + 2, logprob: -1 },
{ id: referenceId + 3, logprob: -2 },
{ id: referenceId + 4, logprob: -3 },
],
}],
},
}],
};
});
await expect(runtime.scoreSequence({
promptTokenIds: Array.from({ length: 38 }, (_, index) => index + 1),
referenceTokenIds: Array.from({ length: 1_024 }, (_, index) => index + 1_000),
topK: 5,
}, new AbortController().signal)).rejects.toMatchObject({
code: 'INVALID_SCORE_SEQUENCE_RESPONSE',
details: { index: 0, referenceTokenId: 1_000 },
});
});
it('rejects scoring outside the loaded 27B WebGPU benchmark path', async () => {
const runtime = configuredRuntime(async () => ({}));
const internals = runtime as unknown as RuntimeInternals;
if (!internals.loaded) throw new Error('Expected loaded fixture state.');
(internals.loaded as { tuningScope: string }).tuningScope = 'release-defaults';
await expect(runtime.scoreSequence({
promptTokenIds: Array.from({ length: 38 }, (_, index) => index + 1),
referenceTokenIds: Array.from({ length: 1_024 }, (_, index) => index + 1_000),
topK: 5,
}, new AbortController().signal)).rejects.toMatchObject({
code: 'SCORE_SEQUENCE_UNAVAILABLE',
});
});
});
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