carrot 9c7833faf9
KerryGold Model, AGNOS12.4, AdjustLaneChange, EnglighSound (#182)
* Vegetarian Filet o Fish model

* fix.. atc..

* test cluster_speed_limit

* fix.. cluster_speed_limit.. 2

* fix.. clusterspeedlimit3

* cruise speed to roadlimit speed

* fix..

* fix.. eng

* deltaUp/Down for lanechange

* fix.. atc desire...

* fix..

* ff

* ff

* fix..

* fix.. eng

* fix engsound

* Update desire_helper.py

* fix.. connect...

* fix curve_min speed

* Revert "fix curve_min speed"

This reverts commit fcc9c2eb14eb3504abef3e420db93e8882e56f37.

* Reapply "fix curve_min speed"

This reverts commit 2d2bba476c58a7b4e13bac3c3ad0e4694c95515d.

* fix.. auto speed up.. roadlimit

* fix.. atc auto lanechange...

* Update desire_helper.py

* Update cruise.py

* debug atc...

* fix.. waze alert offset..

* fix..

* test atc..

* fix..

* fix.. atc

* atc test..

* fix.. atc

* fix.. atc2

* fix.. atc3

* KerryGold Model.  latsmooth_sec = 0.0

* lat smooth seconds 0.13

* fix comment

* fix.. auto cruise, and speed unit

* change lanemode switching.

* erase mazda lkas button.
2025-06-22 10:51:42 +09:00

90 lines
2.6 KiB
Python

#!/usr/bin/env python3
from pathlib import Path
from setuptools import setup
directory = Path(__file__).resolve().parent
with open(directory / 'README.md', encoding='utf-8') as f:
long_description = f.read()
testing_minimal = [
"numpy",
"torch",
"pytest",
"pytest-xdist",
"hypothesis",
"z3-solver",
"ml_dtypes"
]
setup(name='tinygrad',
version='0.10.3',
description='You like pytorch? You like micrograd? You love tinygrad! <3',
author='George Hotz',
license='MIT',
long_description=long_description,
long_description_content_type='text/markdown',
packages = ['tinygrad', 'tinygrad.runtime.autogen', 'tinygrad.runtime.autogen.am', 'tinygrad.codegen', 'tinygrad.nn',
'tinygrad.renderer', 'tinygrad.engine', 'tinygrad.viz', 'tinygrad.runtime', 'tinygrad.runtime.support',
'tinygrad.runtime.support.am', 'tinygrad.runtime.graph', 'tinygrad.shape', 'tinygrad.uop'],
package_data = {'tinygrad': ['py.typed'], 'tinygrad.viz': ['index.html', 'perfetto.html', 'assets/**/*', 'js/*']},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License"
],
install_requires=[],
python_requires='>=3.10',
extras_require={
'arm': ["unicorn"],
'triton': ["triton-nightly>=2.1.0.dev20231014192330"],
'linting': [
"pylint",
"mypy==1.13.0",
"typing-extensions",
"pre-commit",
"ruff",
"numpy",
],
#'mlperf': ["mlperf-logging @ git+https://github.com/mlperf/logging.git@5.0.0-rc3"],
'testing_minimal': testing_minimal,
'testing_unit': testing_minimal + [
"tqdm",
"safetensors",
"tabulate", # for sz.py
],
'testing': testing_minimal + [
"pillow",
"onnx==1.17.0",
"onnx2torch",
"onnxruntime",
"opencv-python",
"tabulate",
"tqdm",
"safetensors",
"transformers",
"sentencepiece",
"tiktoken",
"blobfile",
"librosa",
"networkx",
"nibabel",
"bottle",
"ggml-python",
"capstone",
"pycocotools",
"boto3",
"pandas",
"influxdb3-python"
],
'docs': [
"mkdocs",
"mkdocs-material",
"mkdocstrings[python]",
"markdown-callouts",
"markdown-exec[ansi]",
"black",
"numpy",
],
},
include_package_data=True)