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lerobot
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Merge pull request #8 from Cadene/user/aliberts/2024_03_05_ci 

Add CI, Remove old install files
This commit is contained in:
Simon Alibert 2024-03-05 17:15:48 +01:00 committed by GitHub
parent e132a267aa a6d353c419
commit 11a5a7ca45
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GPG Key ID: B5690EEEBB952194
7 changed files with 568 additions and 187 deletions
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95
.github/workflows/test.yml vendored Normal file
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@ -0,0 +1,95 @@
name: Test
on:
pull_request:
branches:
- main
push:
branches:
- main
jobs:
test:
runs-on: ubuntu-latest
env:
POETRY_VERSION: 1.8.1
steps:
#----------------------------------------------
# check-out repo and set-up python
#----------------------------------------------
- name: Check out repository
uses: actions/checkout@v4
- name: Set up python
id: setup-python
uses: actions/setup-python@v5
with:
python-version: '3.10'
#----------------------------------------------
# install & configure poetry
#----------------------------------------------
- name: Load cached Poetry installation
id: cached-poetry
uses: actions/cache@v4
with:
path: ~/.local # the path depends on the OS
key: poetry-${{ env.POETRY_VERSION }} # increment to reset cache
- name: Install Poetry
if: steps.cached-poetry.outputs.cache-hit != 'true'
uses: snok/install-poetry@v1
with:
version: ${{ env.POETRY_VERSION }}
virtualenvs-create: true
installer-parallel: true
- name: Configure Poetry
run: poetry config virtualenvs.in-project true
#----------------------------------------------
# load cached venv if cache exists
#----------------------------------------------
- name: Load cached venv
id: cached-poetry-dependencies
uses: actions/cache@v4
with:
path: .venv
key: venv-${{ steps.setup-python.outputs.python-version }}-${{ env.POETRY_VERSION }}-${{ hashFiles('**/poetry.lock') }}
#----------------------------------------------
# install dependencies if cache does not exist
#----------------------------------------------
- name: Install dependencies
if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
run: |
poetry install --no-interaction --no-root
git clone https://github.com/real-stanford/diffusion_policy
cp -r diffusion_policy/diffusion_policy $(poetry env info -p)/lib/python3.10/site-packages/
#----------------------------------------------
# install project
#----------------------------------------------
- name: Install project
run: poetry install --no-interaction
#----------------------------------------------
# run tests
#----------------------------------------------
- name: Test train pusht end-to-end
run: |
source .venv/bin/activate
python lerobot/scripts/train.py \
hydra.job.name=pusht \
env=pusht \
wandb.enable=False \
offline_steps=1 \
online_steps=0 \
device=cpu
# - name: Test eval pusht end-to-end
# run: |
# source .venv/bin/activate
# python lerobot/scripts/eval.py
# hydra.job.name=pusht \
# env=pusht \
# wandb.enable=False \
# eval_episodes=1 \
# device=cpu
#----------------------------------------------
# cleanup
#----------------------------------------------
- name: Cleanup
run: |
rm -rf diffusion_policy data

23
environment.yaml
View File

@ -1,23 +0,0 @@
name: lerobot
dependencies:
- python=3.8.16
- pytorch::pytorch=1.13.1
- pytorch::torchvision=0.14.1
- nvidia::cudatoolkit=11.7
- anaconda::pip
- pip:
- cython==0.29.33
- mujoco==2.3.2
- mujoco-py==2.1.2.14
- termcolor
- omegaconf
- gym==0.21.0
- dm-env==1.6
- pandas
- wandb
- moviepy
- imageio
- gdown
# - -e benchmarks/d4rl
# TODO: verify this works
- git+https://github.com/nicklashansen/simxarm.git@main#egg=simxarm

5
lerobot/common/policies/diffusion/policy.py
View File

@ -4,7 +4,6 @@ import time
import hydra
import torch
import torch.nn as nn
from diffusion_policy.model.common.lr_scheduler import get_scheduler
from .diffusion_unet_image_policy import DiffusionUnetImagePolicy
@ -15,6 +14,7 @@ class DiffusionPolicy(nn.Module):
def __init__(
self,
cfg,
cfg_device,
cfg_noise_scheduler,
cfg_rgb_model,
cfg_obs_encoder,
@ -62,7 +62,8 @@ class DiffusionPolicy(nn.Module):
**kwargs,
)
self.device = torch.device("cuda")
self.device = torch.device(cfg_device)
if torch.cuda.is_available() and cfg_device == "cuda":
self.diffusion.cuda()
self.ema = None

1
lerobot/common/policies/factory.py
View File

@ -8,6 +8,7 @@ def make_policy(cfg):
policy = DiffusionPolicy(
cfg=cfg.policy,
cfg_device=cfg.device,
cfg_noise_scheduler=cfg.noise_scheduler,
cfg_rgb_model=cfg.rgb_model,
cfg_obs_encoder=cfg.obs_encoder,

464
poetry.lock generated
View File

@ -405,6 +405,37 @@ files = [
{file = "Cython-3.0.8.tar.gz", hash = "sha256:8333423d8fd5765e7cceea3a9985dd1e0a5dfeb2734629e1a2ed2d6233d39de6"},
]
[[package]]
name = "debugpy"
version = "1.8.1"
description = "An implementation of the Debug Adapter Protocol for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "debugpy-1.8.1-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:3bda0f1e943d386cc7a0e71bfa59f4137909e2ed947fb3946c506e113000f741"},
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{file = "debugpy-1.8.1-py2.py3-none-any.whl", hash = "sha256:28acbe2241222b87e255260c76741e1fbf04fdc3b6d094fcf57b6c6f75ce1242"},
{file = "debugpy-1.8.1.zip", hash = "sha256:f696d6be15be87aef621917585f9bb94b1dc9e8aced570db1b8a6fc14e8f9b42"},
]
[[package]]
name = "decorator"
version = "4.4.2"
@ -416,6 +447,36 @@ files = [
{file = "decorator-4.4.2.tar.gz", hash = "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"},
]
[[package]]
name = "diffusers"
version = "0.26.3"
description = "State-of-the-art diffusion in PyTorch and JAX."
optional = false
python-versions = ">=3.8.0"
files = [
{file = "diffusers-0.26.3-py3-none-any.whl", hash = "sha256:f8f5710c8f9170e9749f0b104f50fc4a1259f8aff3effed99598409a5ea9b1cd"},
{file = "diffusers-0.26.3.tar.gz", hash = "sha256:e217ea39e85b0bd34fee11f8b39fd00116680b05ff7a70c0b4fdab5351ae4f96"},
]
[package.dependencies]
filelock = "*"
huggingface-hub = ">=0.20.2"
importlib-metadata = "*"
numpy = "*"
Pillow = "*"
regex = "!=2019.12.17"
requests = "*"
safetensors = ">=0.3.1"
[package.extras]
dev = ["GitPython (<3.1.19)", "Jinja2", "accelerate (>=0.11.0)", "compel (==0.1.8)", "datasets", "flax (>=0.4.1)", "hf-doc-builder (>=0.3.0)", "invisible-watermark (>=0.2.0)", "isort (>=5.5.4)", "jax (>=0.4.1)", "jaxlib (>=0.4.1)", "k-diffusion (>=0.0.12)", "librosa", "parameterized", "peft (>=0.6.0)", "protobuf (>=3.20.3,<4)", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "ruff (==0.1.5)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "torch (>=1.4,<2.2.0)", "torchvision (<0.17)", "transformers (>=4.25.1)", "urllib3 (<=2.0.0)"]
docs = ["hf-doc-builder (>=0.3.0)"]
flax = ["flax (>=0.4.1)", "jax (>=0.4.1)", "jaxlib (>=0.4.1)"]
quality = ["hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<=2.0.0)"]
test = ["GitPython (<3.1.19)", "Jinja2", "compel (==0.1.8)", "datasets", "invisible-watermark (>=0.2.0)", "k-diffusion (>=0.0.12)", "librosa", "parameterized", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "torchvision (<0.17)", "transformers (>=4.25.1)"]
torch = ["accelerate (>=0.11.0)", "torch (>=1.4,<2.2.0)"]
training = ["Jinja2", "accelerate (>=0.11.0)", "datasets", "peft (>=0.6.0)", "protobuf (>=3.20.3,<4)", "tensorboard"]
[[package]]
name = "diffusion_policy"
version = "0.0.0"
@ -575,6 +636,20 @@ etree-jax = ["etils[etree]", "jax[cpu]"]
etree-tf = ["etils[etree]", "tensorflow"]
lazy-imports = ["etils[ecolab]"]
[[package]]
name = "exceptiongroup"
version = "1.2.0"
description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
files = [
{file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
{file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
]
[package.extras]
test = ["pytest (>=6)"]
[[package]]
name = "fasteners"
version = "0.19"
@ -747,6 +822,39 @@ files = [
{file = "gym_notices-0.0.8-py3-none-any.whl", hash = "sha256:e5f82e00823a166747b4c2a07de63b6560b1acb880638547e0cabf825a01e463"},
]
[[package]]
name = "huggingface-hub"
version = "0.21.3"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "huggingface_hub-0.21.3-py3-none-any.whl", hash = "sha256:b183144336fdf2810a8c109822e0bb6ef1fd61c65da6fb60e8c3f658b7144016"},
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]
[package.dependencies]
filelock = "*"
fsspec = ">=2023.5.0"
packaging = ">=20.9"
pyyaml = ">=5.1"
requests = "*"
tqdm = ">=4.42.1"
typing-extensions = ">=3.7.4.3"
[package.extras]
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
cli = ["InquirerPy (==0.3.4)"]
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
hf-transfer = ["hf-transfer (>=0.1.4)"]
inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
tensorflow = ["graphviz", "pydot", "tensorflow"]
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
torch = ["safetensors", "torch"]
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
[[package]]
name = "hydra-core"
version = "1.3.2"
@ -839,6 +947,25 @@ files = [
[package.dependencies]
setuptools = "*"
[[package]]
name = "importlib-metadata"
version = "7.0.1"
description = "Read metadata from Python packages"
optional = false
python-versions = ">=3.8"
files = [
{file = "importlib_metadata-7.0.1-py3-none-any.whl", hash = "sha256:4805911c3a4ec7c3966410053e9ec6a1fecd629117df5adee56dfc9432a1081e"},
{file = "importlib_metadata-7.0.1.tar.gz", hash = "sha256:f238736bb06590ae52ac1fab06a3a9ef1d8dce2b7a35b5ab329371d6c8f5d2cc"},
]
[package.dependencies]
zipp = ">=0.5"
[package.extras]
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
perf = ["ipython"]
testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
[[package]]
name = "importlib-resources"
version = "6.1.2"
@ -854,6 +981,17 @@ files = [
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
[[package]]
name = "iniconfig"
version = "2.0.0"
description = "brain-dead simple config-ini parsing"
optional = false
python-versions = ">=3.7"
files = [
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
]
[[package]]
name = "jinja2"
version = "3.1.3"
@ -1602,6 +1740,21 @@ files = [
docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
[[package]]
name = "pluggy"
version = "1.4.0"
description = "plugin and hook calling mechanisms for python"
optional = false
python-versions = ">=3.8"
files = [
{file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"},
{file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"},
]
[package.extras]
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "pre-commit"
version = "3.6.2"
@ -1853,6 +2006,28 @@ files = [
{file = "PySocks-1.7.1.tar.gz", hash = "sha256:3f8804571ebe159c380ac6de37643bb4685970655d3bba243530d6558b799aa0"},
]
[[package]]
name = "pytest"
version = "8.1.0"
description = "pytest: simple powerful testing with Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "pytest-8.1.0-py3-none-any.whl", hash = "sha256:ee32db7af8de4629a455806befa90559f307424c07b8413ccfc30bf5b221dd7e"},
{file = "pytest-8.1.0.tar.gz", hash = "sha256:f8fa04ab8f98d185113ae60ea6d79c22f8143b14bc1caeced44a0ab844928323"},
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
iniconfig = "*"
packaging = "*"
pluggy = ">=1.4,<2.0"
tomli = {version = ">=1", markers = "python_version < \"3.11\""}
[package.extras]
testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
[[package]]
name = "python-dateutil"
version = "2.8.2"
@ -1938,6 +2113,108 @@ files = [
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
]
[[package]]
name = "regex"
version = "2023.12.25"
description = "Alternative regular expression module, to replace re."
optional = false
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[package.extras]
all = ["safetensors[jax]", "safetensors[numpy]", "safetensors[paddlepaddle]", "safetensors[pinned-tf]", "safetensors[quality]", "safetensors[testing]", "safetensors[torch]"]
dev = ["safetensors[all]"]
jax = ["flax (>=0.6.3)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "safetensors[numpy]"]
mlx = ["mlx (>=0.0.9)"]
numpy = ["numpy (>=1.21.6)"]
paddlepaddle = ["paddlepaddle (>=2.4.1)", "safetensors[numpy]"]
pinned-tf = ["safetensors[numpy]", "tensorflow (==2.11.0)"]
quality = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "isort (>=5.5.4)"]
tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"]
testing = ["h5py (>=3.7.0)", "huggingface_hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools_rust (>=1.5.2)"]
torch = ["safetensors[numpy]", "torch (>=1.10)"]
[[package]]
name = "scikit-image"
version = "0.22.0"
@ -2371,6 +2780,17 @@ numpy = "*"
[package.extras]
all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib", "zarr"]
[[package]]
name = "tomli"
version = "2.0.1"
description = "A lil' TOML parser"
optional = false
python-versions = ">=3.7"
files = [
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
]
[[package]]
name = "torch"
version = "2.2.1"
@ -2463,6 +2883,48 @@ url = "https://github.com/pytorch/rl"
reference = "13bef426dcfa5887c6e5034a6e9697993fa92c37"
resolved_reference = "13bef426dcfa5887c6e5034a6e9697993fa92c37"
[[package]]
name = "torchvision"
version = "0.17.1"
description = "image and video datasets and models for torch deep learning"
optional = false
python-versions = ">=3.8"
files = [
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]
[package.dependencies]
numpy = "*"
pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
torch = "2.2.1"
[package.extras]
scipy = ["scipy"]
[[package]]
name = "tqdm"
version = "4.66.2"
@ -2641,4 +3103,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "7878b7e80b73355d98402655a8bf51bab122444555cbe8ae5d0f9f1e2effe4b2"
content-hash = "1de157eb9ba5b7016e43385b8e9ac507896103fe1ed70f1c7af2b0de3fa05dc1"

6
pyproject.toml
View File

@ -14,7 +14,7 @@ classifiers=[
"Intended Audience :: Developers",
"Topic :: Software Development :: Build Tools",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.10",
]
packages = [{include = "lerobot"}]
@ -46,10 +46,14 @@ mujoco-py = "^2.1.2.14"
gym = "^0.26.2"
opencv-python = "^4.9.0.80"
diffusion-policy = {git = "https://github.com/real-stanford/diffusion_policy"}
diffusers = "^0.26.3"
torchvision = "^0.17.1"
[tool.poetry.group.dev.dependencies]
pre-commit = "^3.6.2"
debugpy = "^1.8.1"
pytest = "^8.1.0"
[build-system]
requires = ["poetry-core"]

159
setup.py
View File

@ -1,159 +0,0 @@
"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
# To use a consistent encoding
from codecs import open
from os import path
# Always prefer setuptools over distutils
from setuptools import find_packages, setup
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
# Arguments marked as "Required" below must be included for upload to PyPI.
# Fields marked as "Optional" may be commented out.
# https://stackoverflow.com/questions/458550/standard-way-to-embed-version-into-python-package/16084844#16084844
exec(open(path.join(here, "lerobot", "__version__.py")).read())
setup(
# This is the name of your project. The first time you publish this
# package, this name will be registered for you. It will determine how
# users can install this project, e.g.:
#
# $ pip install sampleproject
#
# And where it will live on PyPI: https://pypi.org/project/sampleproject/
#
# There are some restrictions on what makes a valid project name
# specification here:
# https://packaging.python.org/specifications/core-metadata/#name
name="lerobot", # Required
# Versions should comply with PEP 440:
# https://www.python.org/dev/peps/pep-0440/
#
# For a discussion on single-sourcing the version across setup.py and the
# project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version=__version__, # noqa: F821 # Required
# This is a one-line description or tagline of what your project does. This
# corresponds to the "Summary" metadata field:
# https://packaging.python.org/specifications/core-metadata/#summary
description="Le robot is learning", # Required
# This is an optional longer description of your project that represents
# the body of text which users will see when they visit PyPI.
#
# Often, this is the same as your README, so you can just read it in from
# that file directly (as we have already done above)
#
# This field corresponds to the "Description" metadata field:
# https://packaging.python.org/specifications/core-metadata/#description-optional
long_description=long_description, # Optional
# This should be a valid link to your project's main homepage.
#
# This field corresponds to the "Home-Page" metadata field:
# https://packaging.python.org/specifications/core-metadata/#home-page-optional
url="https://github.com/cadene/lerobot", # Optional
# This should be your name or the name of the organization which owns the
# project.
author="Remi Cadene", # Optional
# This should be a valid email address corresponding to the author listed
# above.
author_email="re.cadene@gmail.com", # Optional
# Classifiers help users find your project by categorizing it.
#
# For a list of valid classifiers, see
# https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[ # Optional
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
"Development Status :: 3 - Alpha",
# Indicate who your project is intended for
"Intended Audience :: Developers",
"Topic :: Software Development :: Build Tools",
# Pick your license as you wish
"License :: OSI Approved :: MIT License",
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
"Programming Language :: Python :: 3.7",
],
# This field adds keywords for your project which will appear on the
# project page. What does your project relate to?
#
# Note that this is a string of words separated by whitespace, not a list.
keywords="pytorch framework bootstrap deep learning scaffolding", # Optional
# You can just specify package directories manually here if your project is
# simple. Or you can use find_packages().
#
# Alternatively, if you just want to distribute a single Python file, use
# the `py_modules` argument instead as follows, which will expect a file
# called `my_module.py` to exist:
#
# py_modules=["my_module"],
#
packages=find_packages(
exclude=[
"data",
"logs",
]
),
# This field lists other packages that your project depends on to run.
# Any package you put here will be installed by pip when your project is
# installed, so they must be valid existing projects.
#
# For an analysis of "install_requires" vs pip's requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=[
"torch",
"numpy",
"argparse",
],
# List additional groups of dependencies here (e.g. development
# dependencies). Users will be able to install these using the "extras"
# syntax, for example:
#
# $ pip install sampleproject[dev]
#
# Similar to `install_requires` above, these must be valid existing
# projects.
# extras_require={ # Optional
# 'dev': ['check-manifest'],
# 'test': ['coverage'],
# },
# If there are data files included in your packages that need to be
# installed, specify them here.
#
# If using Python 2.6 or earlier, then these have to be included in
# MANIFEST.in as well.
# package_data={ # Optional
# 'sample': ['package_data.dat'],
# },
include_package_data=True,
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files
#
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
# data_files=[('my_data', ['data/data_file'])], # Optional
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# `pip` to create the appropriate form of executable for the target
# platform.
#
# For example, the following would provide a command called `sample` which
# executes the function `main` from this package when invoked:
# entry_points={ # Optional
# 'console_scripts': [
# 'sample=sample:main',
# ],
# },
)