From 273a8fc33505b9c2b197fd398a1d9dbb16a32376 Mon Sep 17 00:00:00 2001 From: Pepijn Date: Wed, 3 Jun 2026 16:09:22 +0200 Subject: [PATCH] deps(annotations): drop hard vllm dependency to unblock CI torch/torchcodec resolution MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Fast Pytest 'dataset' tier failed collecting tests/datasets/test_video_ decoder_cache.py with 'Could not load libtorchcodec ... undefined symbol: torch_dtype_float4_e2m1fn_x2' — a torch/torchcodec ABI mismatch. Root cause: the annotations extra's vllm hard-pins an older torch (via xformers/xgrammar -> torch 2.8). uv resolves a SINGLE unified lock across all extras, so vllm capped torch to 2.8 for every tier — including dataset, whose torchcodec 0.11.1 needs torch 2.11. The result was torch 2.8 + torchcodec 0.11.1 installed together -> ABI break. (main has no vllm, so it resolves torch 2.11 + torchcodec 0.11.1 cleanly.) Fix: remove vllm from the annotations extra. It is not needed by the shipped workflow — examples/annotations/run_hf_job.py gets vllm from the vllm/vllm-openai image and talks to it over the OpenAI-compatible API (--vlm.backend=openai), and vlm_client._make_vllm_client imports vllm lazily. For the in-process --vlm.backend=vllm path, install vllm separately (the ImportError now says so). After the fix uv resolves torch 2.11.0 + torchcodec 0.11.1 (matching main); uv lock --check is clean. The annotations extra still provides datasets / transformers / openai. Co-Authored-By: Claude Opus 4.7 (1M context) --- pyproject.toml | 12 +- .../steerable_pipeline/vlm_client.py | 6 +- uv.lock | 1248 +++-------------- 3 files changed, 214 insertions(+), 1052 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index f9baedeb9..86599aa31 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -231,7 +231,17 @@ annotations = [ "lerobot[dataset]", "lerobot[transformers-dep]", "openai>=1.40,<2.0", - "vllm>=0.6.0,<1.0.0; sys_platform == 'linux'", + # NOTE: ``vllm`` is intentionally NOT a hard dependency here. vLLM + # hard-pins an older torch (via xformers/xgrammar), and because uv + # resolves a single unified lock across all extras, including it would + # cap ``torch`` for every other extra too (e.g. forcing torch 2.8 while + # ``torchcodec`` in the ``dataset`` extra needs torch 2.11 -> ABI break + # in CI). vLLM is also not needed by the shipped workflow: the HF Jobs + # launcher (``examples/annotations/run_hf_job.py``) gets it from the + # ``vllm/vllm-openai`` image and talks to it over the OpenAI-compatible + # API (``--vlm.backend=openai``), and ``vlm_client._make_vllm_client`` + # imports vllm lazily with an actionable error. To use the in-process + # ``--vlm.backend=vllm`` locally, ``pip install vllm`` separately. ] # Development diff --git a/src/lerobot/annotations/steerable_pipeline/vlm_client.py b/src/lerobot/annotations/steerable_pipeline/vlm_client.py index b5cf2c1b7..8aa7d01c6 100644 --- a/src/lerobot/annotations/steerable_pipeline/vlm_client.py +++ b/src/lerobot/annotations/steerable_pipeline/vlm_client.py @@ -216,7 +216,11 @@ def _make_vllm_client(config: VlmConfig) -> VlmClient: from vllm import LLM, SamplingParams # type: ignore[import-not-found] except ImportError as exc: raise ImportError( - "vllm is required for backend='vllm'. Install with `pip install lerobot[annotations]`." + "vllm is required for backend='vllm'. Install it separately with " + "`pip install vllm` (it is not a hard dependency of the " + "``annotations`` extra because it pins an older torch). The HF " + "Jobs launcher uses the vllm/vllm-openai image + backend='openai' " + "instead." ) from exc # Workaround for cuDNN 9.x + torch 2.8 conv3d regression that surfaces # as CUDNN_STATUS_NOT_INITIALIZED in Qwen-VL vision-tower patch diff --git a/uv.lock b/uv.lock index 4d43d18d3..6ca254026 100644 --- a/uv.lock +++ b/uv.lock @@ -68,8 +68,8 @@ dependencies = [ { name = "psutil" }, { name = "pyyaml" }, { name = "safetensors" }, - { name = "torch", version = "2.8.0+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "sys_platform == 'linux'" }, { name = "torch", version = "2.11.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'linux'" }, + { name = "torch", version = "2.11.0+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "sys_platform == 'linux'" }, ] sdist = { url = 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