From 458b8fa251ae813e80ca2fe5b73dc6e9223a8658 Mon Sep 17 00:00:00 2001 From: bofengl Date: Tue, 16 Jun 2026 11:16:41 -0700 Subject: [PATCH] feat: per-dataset max_new_tokens override Add an optional per-dataset `max_new_tokens` that overrides the global `model_params.max_new_tokens` (sent as the per-request max_tokens). Lets a performance dataset use a small cap (avoiding server-side KV over-reservation/overload at high concurrency) while accuracy datasets use a larger cap (avoiding truncation of long reasoning output). Falls back to the global value when unset. - schema: add Dataset.max_new_tokens (gt=0) and a Dataset.get_model_params() helper that applies the override, keeping the logic in one place. - benchmark/execute: both the accuracy and performance load paths use the helper instead of duplicating the override. - tests: per-dataset field validation + get_model_params() fallback/override. - templates: regenerate *_template_full.yaml for the new field. - chore: bump aiohttp 3.14.0 -> 3.14.1 to clear pip-audit CVEs (CVE-2026-54273..54280). Co-Authored-By: Claude Opus 4.8 (1M context) --- pyproject.toml | 2 +- .../commands/benchmark/execute.py | 13 ++-- src/inference_endpoint/config/schema.py | 22 ++++++ .../templates/concurrency_template_full.yaml | 4 +- .../templates/offline_template_full.yaml | 4 +- .../templates/online_template_full.yaml | 4 +- tests/unit/config/test_schema.py | 53 +++++++++++++ uv.lock | 76 +++++++++---------- 8 files changed, 131 insertions(+), 47 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c020d6e8e..395ba5edb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -118,7 +118,7 @@ test = [ "Pympler==1.1", "scipy==1.17.1", # HTTP server and client for mock server fixture - "aiohttp==3.14.0", + "aiohttp==3.14.1", # Plotting for benchmark sweep mode "matplotlib==3.10.8", # Property-based testing (CLI fuzz) diff --git a/src/inference_endpoint/commands/benchmark/execute.py b/src/inference_endpoint/commands/benchmark/execute.py index 2393bca76..a222041c6 100644 --- a/src/inference_endpoint/commands/benchmark/execute.py +++ b/src/inference_endpoint/commands/benchmark/execute.py @@ -310,9 +310,9 @@ def _load_datasets( acc_cfg.accuracy_config.extras or {}, ) ) - ds.load( - api_type=config.endpoint_config.api_type, model_params=config.model_params - ) + # Per-dataset max_new_tokens override (falls back to global model_params). + acc_model_params = acc_cfg.get_model_params(config.model_params) + ds.load(api_type=config.endpoint_config.api_type, model_params=acc_model_params) logger.info(f"Loaded {ds} - {ds.num_samples()} samples") if not accuracy_cfgs: @@ -321,9 +321,12 @@ def _load_datasets( raise InputValidationError("Multiple performance datasets not supported") try: - dataloader = DataLoaderFactory.create_loader(performance_cfgs[0]) + perf_cfg = performance_cfgs[0] + # Per-dataset max_new_tokens override (falls back to global model_params). + perf_model_params = perf_cfg.get_model_params(config.model_params) + dataloader = DataLoaderFactory.create_loader(perf_cfg) dataloader.load( - api_type=config.endpoint_config.api_type, model_params=config.model_params + api_type=config.endpoint_config.api_type, model_params=perf_model_params ) logger.info(f"Loaded {dataloader.num_samples()} samples") except FileNotFoundError as e: diff --git a/src/inference_endpoint/config/schema.py b/src/inference_endpoint/config/schema.py index bd23d2c21..6523f9e43 100644 --- a/src/inference_endpoint/config/schema.py +++ b/src/inference_endpoint/config/schema.py @@ -302,6 +302,17 @@ class Dataset(BaseModel): ] = None format: str | None = Field(None, description="Dataset format (auto-detected)") samples: int | None = Field(None, gt=0, description="Number of samples to use") + max_new_tokens: int | None = Field( + None, + gt=0, + description=( + "Per-dataset override of model_params.max_new_tokens (sent as the " + "per-request max_tokens). Lets a performance dataset use a small cap " + "(to avoid server-side KV over-reservation/overload at high concurrency) " + "while accuracy datasets use a larger cap (to avoid truncating long " + "reasoning output). Falls back to model_params.max_new_tokens when unset." + ), + ) eval_method: EvalMethod | None = Field( None, description="Accuracy evaluation method" ) @@ -322,6 +333,17 @@ def _auto_derive_name(self) -> Self: object.__setattr__(self, "name", Path(self.path).stem) return self + def get_model_params(self, model_params: ModelParams) -> ModelParams: + """Apply this dataset's per-dataset max_new_tokens override. + + Returns ``model_params`` unchanged when the dataset does not set a + max_new_tokens; otherwise returns a copy with max_new_tokens replaced + by the per-dataset value. + """ + if self.max_new_tokens is None: + return model_params + return model_params.model_copy(update={"max_new_tokens": self.max_new_tokens}) + class AccuracyConfig(BaseModel): """Accuracy configuration. diff --git a/src/inference_endpoint/config/templates/concurrency_template_full.yaml b/src/inference_endpoint/config/templates/concurrency_template_full.yaml index 6fa90e0ac..435120acf 100644 --- a/src/inference_endpoint/config/templates/concurrency_template_full.yaml +++ b/src/inference_endpoint/config/templates/concurrency_template_full.yaml @@ -12,7 +12,7 @@ model_params: presence_penalty: null # Presence penalty frequency_penalty: null # Frequency penalty chat_template_kwargs: null # Per-request chat-template kwargs forwarded to compatible servers. - max_new_tokens: 1024 # Max output tokens + max_new_tokens: 1024 osl_distribution: null # Output sequence length distribution streaming: 'on' # Streaming mode: auto/on/off | options: auto, on, off tokenizer_name: null # HF repo ID or local path for the tokenizer. Overrides model name for client-side token metrics (ISL/OSL/TPOT). @@ -22,6 +22,7 @@ datasets: # Dataset configs path: '' # Dataset file path format: null # Dataset format (auto-detected) samples: null # Number of samples to use + max_new_tokens: null eval_method: null parser: # Column remapping: {prompt: , system: } prompt: text_input @@ -32,6 +33,7 @@ datasets: # Dataset configs path: '' # Dataset file path format: null # Dataset format (auto-detected) samples: null # Number of samples to use + max_new_tokens: null eval_method: exact_match # Accuracy evaluation method | options: exact_match, contains, judge parser: # Column remapping: {prompt: , system: } prompt: question diff --git a/src/inference_endpoint/config/templates/offline_template_full.yaml b/src/inference_endpoint/config/templates/offline_template_full.yaml index 1de0f1ab7..03a57a172 100644 --- a/src/inference_endpoint/config/templates/offline_template_full.yaml +++ b/src/inference_endpoint/config/templates/offline_template_full.yaml @@ -12,7 +12,7 @@ model_params: presence_penalty: null # Presence penalty frequency_penalty: null # Frequency penalty chat_template_kwargs: null # Per-request chat-template kwargs forwarded to compatible servers. - max_new_tokens: 1024 # Max output tokens + max_new_tokens: 1024 osl_distribution: null # Output sequence length distribution streaming: 'off' # Streaming mode: auto/on/off | options: auto, on, off tokenizer_name: null # HF repo ID or local path for the tokenizer. Overrides model name for client-side token metrics (ISL/OSL/TPOT). @@ -22,6 +22,7 @@ datasets: # Dataset configs path: '' # Dataset file path format: null # Dataset format (auto-detected) samples: null # Number of samples to use + max_new_tokens: null eval_method: null parser: # Column remapping: {prompt: , system: } prompt: text_input @@ -32,6 +33,7 @@ datasets: # Dataset configs path: '' # Dataset file path format: null # Dataset format (auto-detected) samples: null # Number of samples to use + max_new_tokens: null eval_method: exact_match # Accuracy evaluation method | options: exact_match, contains, judge parser: # Column remapping: {prompt: , system: } prompt: question diff --git a/src/inference_endpoint/config/templates/online_template_full.yaml b/src/inference_endpoint/config/templates/online_template_full.yaml index 4181f53fe..5ec45cd37 100644 --- a/src/inference_endpoint/config/templates/online_template_full.yaml +++ b/src/inference_endpoint/config/templates/online_template_full.yaml @@ -12,7 +12,7 @@ model_params: presence_penalty: null # Presence penalty frequency_penalty: null # Frequency penalty chat_template_kwargs: null # Per-request chat-template kwargs forwarded to compatible servers. - max_new_tokens: 1024 # Max output tokens + max_new_tokens: 1024 osl_distribution: null # Output sequence length distribution streaming: 'on' # Streaming mode: auto/on/off | options: auto, on, off tokenizer_name: null # HF repo ID or local path for the tokenizer. Overrides model name for client-side token metrics (ISL/OSL/TPOT). @@ -22,6 +22,7 @@ datasets: # Dataset configs path: '' # Dataset file path format: null # Dataset format (auto-detected) samples: null # Number of samples to use + max_new_tokens: null eval_method: null parser: # Column remapping: {prompt: , system: } prompt: text_input @@ -32,6 +33,7 @@ datasets: # Dataset configs path: '' # Dataset file path format: null # Dataset format (auto-detected) samples: null # Number of samples to use + max_new_tokens: null eval_method: exact_match # Accuracy evaluation method | options: exact_match, contains, judge parser: # Column remapping: {prompt: , system: } prompt: question diff --git a/tests/unit/config/test_schema.py b/tests/unit/config/test_schema.py index a60770121..70c4c21b5 100644 --- a/tests/unit/config/test_schema.py +++ b/tests/unit/config/test_schema.py @@ -123,6 +123,59 @@ def test_auto_derive_name(self): ds = Dataset(path="datasets/my_data.jsonl") assert ds.name == "my_data" + @pytest.mark.unit + def test_max_new_tokens_defaults_none(self): + ds = Dataset(name="perf", type=DatasetType.PERFORMANCE, path="data.jsonl") + assert ds.max_new_tokens is None + + @pytest.mark.unit + def test_per_dataset_max_new_tokens_override(self): + ds = Dataset( + name="aime25", + type=DatasetType.ACCURACY, + path="aime25.jsonl", + eval_method=EvalMethod.EXACT_MATCH, + max_new_tokens=32768, + ) + assert ds.max_new_tokens == 32768 + + @pytest.mark.unit + def test_max_new_tokens_rejects_non_positive(self): + with pytest.raises(ValueError, match="greater than 0"): + Dataset( + name="perf", + type=DatasetType.PERFORMANCE, + path="data.jsonl", + max_new_tokens=0, + ) + + @pytest.mark.unit + def test_get_model_params_falls_back_when_unset(self): + ds = Dataset(name="perf", type=DatasetType.PERFORMANCE, path="data.jsonl") + base = ModelParams(name="m", max_new_tokens=1024) + result = ds.get_model_params(base) + # No per-dataset override -> returns the global params unchanged. + assert result is base + assert result.max_new_tokens == 1024 + + @pytest.mark.unit + def test_get_model_params_applies_override(self): + ds = Dataset( + name="aime25", + type=DatasetType.ACCURACY, + path="aime25.jsonl", + eval_method=EvalMethod.EXACT_MATCH, + max_new_tokens=32768, + ) + base = ModelParams(name="m", max_new_tokens=1024, temperature=0.7) + result = ds.get_model_params(base) + # Override replaces max_new_tokens but leaves other params and the + # original (frozen) instance untouched. + assert result is not base + assert result.max_new_tokens == 32768 + assert result.temperature == 0.7 + assert base.max_new_tokens == 1024 + class TestBenchmarkConfig: @pytest.mark.unit diff --git a/uv.lock b/uv.lock index bfdb3b236..984581b6b 100644 --- a/uv.lock +++ b/uv.lock @@ -29,7 +29,7 @@ wheels = [ [[package]] name = "aiohttp" -version = "3.14.0" +version = "3.14.1" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs", marker = 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