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### What does this PR do? Upgrade tensordict to latest ### Checklist Before Starting - [ ] Search for similar PRs. Paste at least one query link here: ... - [ ] Format the PR title as `[{modules}] {type}: {description}` (This will be checked by the CI) - `{modules}` include `fsdp`, `megatron`, `sglang`, `vllm`, `rollout`, `trainer`, `ci`, `training_utils`, `recipe`, `hardware`, `deployment`, `ray`, `worker`, `single_controller`, `misc`, `perf`, `model`, `algo`, `env`, `tool`, `ckpt`, `doc`, `data` - If this PR involves multiple modules, separate them with `,` like `[megatron, fsdp, doc]` - `{type}` is in `feat`, `fix`, `refactor`, `chore`, `test` - If this PR breaks any API (CLI arguments, config, function signature, etc.), add `[BREAKING]` to the beginning of the title. - Example: `[BREAKING][fsdp, megatron] feat: dynamic batching` ### Test > For changes that can not be tested by CI (e.g., algorithm implementation, new model support), validate by experiment(s) and show results like training curve plots, evaluation results, etc. ### API and Usage Example > Demonstrate how the API changes if any, and provide usage example(s) if possible. ```python # Add code snippet or script demonstrating how to use this ``` ### Design & Code Changes > Demonstrate the high-level design if this PR is complex, and list the specific changes. ### Checklist Before Submitting > [!IMPORTANT] > Please check all the following items before requesting a review, otherwise the reviewer might deprioritize this PR for review. - [ ] Read the [Contribute Guide](https://github.com/volcengine/verl/blob/main/CONTRIBUTING.md). - [ ] Apply [pre-commit checks](https://github.com/volcengine/verl/blob/main/CONTRIBUTING.md#code-linting-and-formatting): `pre-commit install && pre-commit run --all-files --show-diff-on-failure --color=always` - [ ] Add / Update [the documentation](https://github.com/volcengine/verl/tree/main/docs). - [ ] Add unit or end-to-end test(s) to [the CI workflow](https://github.com/volcengine/verl/tree/main/.github/workflows) to cover all the code. If not feasible, explain why: ... - [ ] Once your PR is ready for CI, send a message in [the `ci-request` channel](https://verl-project.slack.com/archives/C091TCESWB1) in [the `verl` Slack workspace](https://join.slack.com/t/verl-project/shared_invite/zt-3855yhg8g-CTkqXu~hKojPCmo7k_yXTQ).
97 lines
2.8 KiB
Python
97 lines
2.8 KiB
Python
# Copyright 2024 Bytedance Ltd. and/or its affiliates
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# setup.py is the fallback installation script when pyproject.toml does not work
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import os
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from pathlib import Path
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from setuptools import find_packages, setup
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version_folder = os.path.dirname(os.path.join(os.path.abspath(__file__)))
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with open(os.path.join(version_folder, "verl/version/version")) as f:
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__version__ = f.read().strip()
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install_requires = [
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"accelerate",
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"codetiming",
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"datasets",
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"dill",
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"hydra-core",
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"numpy<2.0.0",
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"pandas",
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"peft",
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"pyarrow>=19.0.0",
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"pybind11",
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"pylatexenc",
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"ray[default]>=2.41.0",
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"torchdata",
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"tensordict>=0.8.0,<=0.9.0",
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"transformers",
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"wandb",
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"packaging>=20.0",
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]
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TEST_REQUIRES = ["pytest", "pre-commit", "py-spy", "pytest-asyncio"]
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PRIME_REQUIRES = ["pyext"]
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GEO_REQUIRES = ["mathruler", "torchvision", "qwen_vl_utils"]
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GPU_REQUIRES = ["liger-kernel", "flash-attn"]
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MATH_REQUIRES = ["math-verify"] # Add math-verify as an optional dependency
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VLLM_REQUIRES = ["tensordict>=0.8.0,<=0.9.0", "vllm>=0.7.3,<=0.8.5"]
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SGLANG_REQUIRES = [
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"tensordict>=0.8.0,<=0.9.0",
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"sglang[srt,openai]==0.4.6.post5",
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"torch-memory-saver>=0.0.5",
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"torch==2.6.0",
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]
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TRL_REQUIRES = ["trl<=0.9.6"]
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MCORE_REQUIRES = ["mbridge"]
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extras_require = {
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"test": TEST_REQUIRES,
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"prime": PRIME_REQUIRES,
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"geo": GEO_REQUIRES,
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"gpu": GPU_REQUIRES,
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"math": MATH_REQUIRES,
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"vllm": VLLM_REQUIRES,
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"sglang": SGLANG_REQUIRES,
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"trl": TRL_REQUIRES,
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"mcore": MCORE_REQUIRES,
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}
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this_directory = Path(__file__).parent
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long_description = (this_directory / "README.md").read_text()
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setup(
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name="verl",
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version=__version__,
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package_dir={"": "."},
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packages=find_packages(where="."),
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url="https://github.com/volcengine/verl",
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license="Apache 2.0",
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author="Bytedance - Seed - MLSys",
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author_email="zhangchi.usc1992@bytedance.com, gmsheng@connect.hku.hk",
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description="verl: Volcano Engine Reinforcement Learning for LLM",
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install_requires=install_requires,
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extras_require=extras_require,
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package_data={
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"": ["version/*"],
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"verl": ["trainer/config/*.yaml"],
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},
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include_package_data=True,
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long_description=long_description,
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long_description_content_type="text/markdown",
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)
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