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server : fix speculative decoding with context shift (#10641)
* server : fix speculative decoding with context shift ggml-ci * server : take into account speculative limits ggml-ci * server : add tests
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@ -921,6 +921,8 @@ struct server_context {
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slot.params.speculative.p_min = json_value(data, "speculative.p_min", defaults.speculative.p_min);
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slot.params.speculative.n_min = std::min(slot.params.speculative.n_max, slot.params.speculative.n_min);
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slot.params.speculative.n_min = std::max(slot.params.speculative.n_min, 2);
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slot.params.speculative.n_max = std::max(slot.params.speculative.n_max, 0);
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if (slot.params.sampling.dry_base < 1.0f) {
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slot.params.sampling.dry_base = defaults.sampling.dry_base;
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@ -2322,10 +2324,29 @@ struct server_context {
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continue;
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}
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// determine the max draft that fits the current slot state
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int n_draft_max = slot.params.speculative.n_max;
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// note: n_past is not yet increased for the `id` token sampled above
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// also, need to leave space for 1 extra token to allow context shifts
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n_draft_max = std::min(n_draft_max, slot.n_ctx - slot.n_past - 2);
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if (slot.n_remaining > 0) {
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n_draft_max = std::min(n_draft_max, slot.n_remaining - 1);
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}
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SLT_DBG(slot, "max possible draft: %d\n", n_draft_max);
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if (n_draft_max < slot.params.speculative.n_min) {
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SLT_DBG(slot, "the max possible draft is too small: %d < %d - skipping speculative decoding\n", n_draft_max, slot.params.speculative.n_min);
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continue;
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}
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llama_token id = slot.sampled;
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struct common_speculative_params params_spec;
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params_spec.n_draft = slot.params.speculative.n_max;
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params_spec.n_draft = n_draft_max;
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params_spec.n_reuse = llama_n_ctx(slot.ctx_dft) - slot.params.speculative.n_max;
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params_spec.p_min = slot.params.speculative.p_min;
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@ -2333,6 +2354,8 @@ struct server_context {
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// ignore small drafts
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if (slot.params.speculative.n_min > (int) draft.size()) {
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SLT_DBG(slot, "ignoring small draft: %d < %d\n", (int) draft.size(), slot.params.speculative.n_min);
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continue;
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}
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@ -2344,6 +2367,8 @@ struct server_context {
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common_batch_add(slot.batch_spec, draft[i], slot.n_past + 1 + i, { slot.id }, true);
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}
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SLT_DBG(slot, "decoding speculative batch, size = %d\n", slot.batch_spec.n_tokens);
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llama_decode(ctx, slot.batch_spec);
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// the accepted tokens from the speculation
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@ -2372,7 +2397,7 @@ struct server_context {
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}
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}
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SRV_DBG("accepted %d/%d draft tokens\n", (int) ids.size() - 1, (int) draft.size());
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SLT_DBG(slot, "accepted %d/%d draft tokens, new n_past = %d\n", (int) ids.size() - 1, (int) draft.size(), slot.n_past);
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}
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}
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@ -82,6 +82,37 @@ def test_different_draft_min_draft_max():
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last_content = res.body["content"]
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def test_slot_ctx_not_exceeded():
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global server
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server.n_ctx = 64
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server.start()
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res = server.make_request("POST", "/completion", data={
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"prompt": "Hello " * 56,
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"temperature": 0.0,
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"top_k": 1,
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"speculative.p_min": 0.0,
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})
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assert res.status_code == 200
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assert len(res.body["content"]) > 0
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def test_with_ctx_shift():
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global server
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server.n_ctx = 64
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server.start()
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res = server.make_request("POST", "/completion", data={
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"prompt": "Hello " * 56,
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"temperature": 0.0,
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"top_k": 1,
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"n_predict": 64,
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"speculative.p_min": 0.0,
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})
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assert res.status_code == 200
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assert len(res.body["content"]) > 0
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assert res.body["tokens_predicted"] == 64
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assert res.body["truncated"] == True
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@pytest.mark.parametrize("n_slots,n_requests", [
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(1, 2),
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(2, 2),
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