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https://github.com/tinygrad/tinygrad.git
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bcf1518309
* Update all devices to be tested
ANE, CPU and OCL all now support all tests.
However tests are not currently passing on GPU and I cannot test on CPU.
Failing GPU test are not an issue caused by this update. Tests have not
been passing due to a missing "six" required installation.
OpenCL Tests have not been run since commit: 1a1c63a08b
devices have 3 types and are handle by a new DeviceTypes enum. (The goal
is to revert to Tensor.<type>, but this current setup allows for keyword
argument defaults: `device=DeviceType.CPU`)
All references to Tensor.GPU/CPU/ANE as been converted to the
corresponding `DeviceTypes` enum.
Refactor of the conversion code to allow for any device to any device
conversion.
* Add six dependency in requirements.txt
* Resolve failure to run tests
Move six into gpu required installs. Remove six from standard
installation.
* Remove repeated data conversion
* Refactor method names
Also reduce code with .to and .to_
* Dynamic device handlers
* Refactor DeviceTypes -> Device
* Add mem copy profiling back
* test_backward_pass_diamond_model passing
* Resolve Sum issue on GPU
* Revert batchnorm2d tests
* Update README with upadated API
* ANE testing with
* Last minute line gains
33 lines
924 B
Python
33 lines
924 B
Python
#!/usr/bin/env python3
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import os
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from setuptools import setup
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directory = os.path.abspath(os.path.dirname(__file__))
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with open(os.path.join(directory, 'README.md'), encoding='utf-8') as f:
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long_description = f.read()
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setup(name='tinygrad',
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version='0.3.0',
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description='You like pytorch? You like micrograd? You love tinygrad! heart',
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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'],
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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=['numpy', 'requests'],
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python_requires='>=3.8',
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extras_require={
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'gpu': ["pyopencl", "six"],
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'testing': [
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"pytest",
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"torch",
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"tqdm",
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],
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},
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include_package_data=True)
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