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chore(deps): cap torch ceiling at <2.12, pin Linux wheels to cu128 (#3570)

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* chore(deps): ceiling + cuda

* ci: bump cuda version docker image

* ci: add cpu wheel to release workflow

* chore(deps): update uv.lock

* docs: update installation with cuda note
This commit is contained in:
Steven Palma
2026-05-11 19:47:55 +02:00
committed by GitHub
parent 6d269b28c8
commit 26ff40ddd7
6 changed files with 327 additions and 142 deletions
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pyproject.toml
+17 -3
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@@ -59,8 +59,8 @@ keywords = ["lerobot", "huggingface", "robotics", "machine learning", "artifici
dependencies = [
# Core ML
"torch>=2.7,<2.13.0",
"torchvision>=0.22.0,<0.28.0",
"torch>=2.7,<2.12.0",
"torchvision>=0.22.0,<0.27.0",
"numpy>=2.0.0,<2.3.0", # NOTE: Explicitly listing numpy helps the resolver converge faster. Upper bound imposed by opencv-python-headless.
"opencv-python-headless>=4.9.0,<4.14.0",
"Pillow>=10.0.0,<13.0.0",
@@ -99,7 +99,7 @@ dataset = [
"pandas>=2.0.0,<3.0.0", # NOTE: Transitive dependency of datasets
"pyarrow>=21.0.0,<30.0.0", # NOTE: Transitive dependency of datasets
"lerobot[av-dep]",
"torchcodec>=0.3.0,<0.13.0; sys_platform != 'win32' and (sys_platform != 'linux' or (platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')) and (sys_platform != 'darwin' or platform_machine != 'x86_64')", # NOTE: Windows support starts at version 0.7 (needs torch==2.8), ffmpeg>=8 support starts at version 0.8.1 (needs torch==2.9), system-wide ffmpeg support starts at version 0.10 (needs torch==2.10), 0.11 needs torch==2.11, 0.12 needs torch==2.12.
"torchcodec>=0.3.0,<0.12.0; sys_platform != 'win32' and (sys_platform != 'linux' or (platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')) and (sys_platform != 'darwin' or platform_machine != 'x86_64')", # NOTE: Windows support starts at version 0.7 (needs torch==2.8), ffmpeg>=8 support starts at version 0.8.1 (needs torch==2.9), system-wide ffmpeg support starts at version 0.10 (needs torch==2.10), 0.11 needs torch==2.11, 0.12 needs torch==2.12.
"jsonlines>=4.0.0,<5.0.0",
]
training = [
@@ -293,6 +293,20 @@ lerobot-setup-can="lerobot.scripts.lerobot_setup_can:main"
lerobot-rollout="lerobot.scripts.lerobot_rollout:main"
# ---------------- Tool Configurations ----------------
# cu128 wheels keep broad hardware reach; the driver floor is 570.86.
# To use a different CUDA variant, reinstall torch with an explicit index, e.g.:
# uv pip install --force-reinstall torch torchvision \
# --index-url https://download.pytorch.org/whl/cu130
[[tool.uv.index]]
name = "pytorch-cu128"
url = "https://download.pytorch.org/whl/cu128"
explicit = true
[tool.uv.sources]
torch = [{ index = "pytorch-cu128", marker = "sys_platform == 'linux'" }]
torchvision = [{ index = "pytorch-cu128", marker = "sys_platform == 'linux'" }]
[tool.setuptools.package-data]
lerobot = ["envs/*.json"]