forked from tinygrad/tinygrad
chenyuandGitHub
f315df29a0
* no weak Tensor from and to real buffer creation, assign, safe_save * is_numpy_ndarray to tensor * one more
30 lines
916 B
Python
30 lines
916 B
Python
import unittest, gc
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import numpy as np
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from tinygrad.helpers import polyN, disable_gc
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from tinygrad.tensor import Tensor, is_numpy_ndarray
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class TestPolyN(unittest.TestCase):
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def test_tensor(self):
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np.testing.assert_allclose(polyN(Tensor([1.0, 2.0, 3.0, 4.0]), [1.0, -2.0, 1.0]).numpy(), [0.0, 1.0, 4.0, 9.0])
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class TestIsNumpyNdarray(unittest.TestCase):
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def test_tensor_numpy(self):
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self.assertTrue(is_numpy_ndarray(Tensor([1, 2, 3]).numpy()))
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class TestDisableGC(unittest.TestCase):
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def test_recursive_decorator(self):
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was_enabled = gc.isenabled()
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@disable_gc()
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def recurse(depth:int):
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self.assertFalse(gc.isenabled())
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if depth: recurse(depth-1)
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self.assertFalse(gc.isenabled())
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try:
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recurse(2)
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self.assertEqual(gc.isenabled(), was_enabled)
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finally:
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(gc.enable if was_enabled else gc.disable)()
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if __name__ == '__main__':
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unittest.main()
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