mirror of https://github.com/commaai/tinygrad.git
38 lines
1.0 KiB
Python
38 lines
1.0 KiB
Python
#!/usr/bin/env python
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import gc
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import unittest
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import numpy as np
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from tinygrad.tensor import Tensor
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def tensors_allocated():
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return sum([isinstance(x, Tensor) for x in gc.get_objects()])
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class TestGC(unittest.TestCase):
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def test_gc(self):
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a = Tensor.rand(4, 4, requires_grad=True)
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b = Tensor.zeros(4, 4, requires_grad=True)
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(a*b).mean().backward()
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assert(tensors_allocated() > 0)
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del a,b
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assert(tensors_allocated() == 1) # one for Tensor._rng_counter
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def test_gc_complex(self):
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a = Tensor(np.zeros((4, 4), dtype=np.float32), requires_grad=True)
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b = Tensor.rand(4, 4, requires_grad=True)
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assert(tensors_allocated() == 3)
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(a*b).mean().backward()
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assert(tensors_allocated() == 5)
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del b
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assert(tensors_allocated() == 3)
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b = Tensor(np.zeros((4, 4), dtype=np.float32), requires_grad=True)
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print(tensors_allocated())
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(a*b).mean().backward()
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print(tensors_allocated())
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assert(tensors_allocated() == 5)
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del b
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assert(tensors_allocated() == 3)
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if __name__ == '__main__':
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unittest.main()
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