mirror of
https://github.com/tinygrad/tinygrad.git
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1c45b9f7fb
* start nvpci * talk to fsp * boot args * riscv core bootted * q * agen * got gsp init msg * some fixes * set registry, stuck aft lockdown( * start ga/ad port * gsp init on ada * more classes allocated * more * mm * fixes and progress * no huge pages for now * mm seems workin, but switch to 512mb page for simplicity * working state * not cleaned * claned * nvd=1 * start gr ctx * compute * clean 1 * cleanup 2 * cleanup 3 * cleaner 4 * cleaner 6 * add iface to nv * save before reboot * merged into NV * moveout mm * post merge * cleaner 7 * merge and rebase * pciiface abstraction + reset * download fw from web * print logs * minor changes + p2p * cleaner 8 * cleaner 9 * cleaner 10 * delete * delete this as well * linter 1 * oops * priv_client -> priv_root * fix mypy * mypy? * mypy? * small changes * shorter * ops * remove this * do not allocate paddr for reserve * nodiff * unified script * ops * dif ver * add lock * setup
91 lines
2.7 KiB
Python
91 lines
2.7 KiB
Python
#!/usr/bin/env python3
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from pathlib import Path
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from setuptools import setup
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directory = Path(__file__).resolve().parent
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with open(directory / 'README.md', encoding='utf-8') as f:
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long_description = f.read()
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testing_minimal = [
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"numpy",
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"torch",
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"pytest",
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"pytest-xdist",
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"hypothesis",
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"z3-solver",
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"ml_dtypes"
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]
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setup(name='tinygrad',
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version='0.10.3',
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description='You like pytorch? You like micrograd? You love tinygrad! <3',
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author='George Hotz',
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license='MIT',
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long_description=long_description,
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long_description_content_type='text/markdown',
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packages = ['tinygrad', 'tinygrad.runtime.autogen', 'tinygrad.runtime.autogen.am', 'tinygrad.codegen', 'tinygrad.nn',
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'tinygrad.renderer', 'tinygrad.engine', 'tinygrad.viz', 'tinygrad.runtime', 'tinygrad.runtime.support', 'tinygrad.kernelize',
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'tinygrad.runtime.support.am', 'tinygrad.runtime.graph', 'tinygrad.shape', 'tinygrad.uop', 'tinygrad.opt',
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'tinygrad.runtime.support.nv'],
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package_data = {'tinygrad': ['py.typed'], 'tinygrad.viz': ['index.html', 'perfetto.html', 'assets/**/*', 'js/*']},
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: MIT License"
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],
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install_requires=[],
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python_requires='>=3.10',
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extras_require={
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'arm': ["unicorn"],
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'triton': ["triton-nightly>=2.1.0.dev20231014192330"],
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'linting': [
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"pylint",
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"mypy==1.13.0",
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"typing-extensions",
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"pre-commit",
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"ruff",
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"numpy",
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],
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#'mlperf': ["mlperf-logging @ git+https://github.com/mlperf/logging.git@5.0.0-rc3"],
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'testing_minimal': testing_minimal,
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'testing_unit': testing_minimal + [
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"tqdm",
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"safetensors",
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"tabulate", # for sz.py
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],
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'testing': testing_minimal + [
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"pillow",
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"onnx==1.17.0",
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"onnx2torch",
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"onnxruntime",
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"opencv-python",
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"tabulate",
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"tqdm",
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"safetensors",
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"transformers",
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"sentencepiece",
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"tiktoken",
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"blobfile",
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"librosa",
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"networkx",
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"nibabel",
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"bottle",
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"ggml-python",
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"capstone",
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"pycocotools",
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"boto3",
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"pandas",
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"influxdb3-python"
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],
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'docs': [
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"mkdocs",
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"mkdocs-material",
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"mkdocstrings[python]",
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"markdown-callouts",
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"markdown-exec[ansi]",
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"black",
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"numpy",
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],
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},
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include_package_data=True)
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