mirror of https://github.com/commaai/tinygrad.git
66 lines
1.9 KiB
Python
66 lines
1.9 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.device import Buffer
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from tinygrad.engine.realize import run_schedule
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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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def bufs_allocated():
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return sum([isinstance(x, Buffer) 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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Tensor.manual_seed(0)
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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._device_rng_counters
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def test_gc_complex(self):
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Tensor.manual_seed(0)
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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() == 4)
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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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def test_schedule_gc(self):
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init = bufs_allocated()
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x = Tensor.ones(256).contiguous().realize()
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y = Tensor.ones(5, 5).contiguous()
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y.schedule()
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del x
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del y
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self.assertEqual(bufs_allocated()-init, 0)
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def test_schedule_gc_with_inputs(self):
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init = bufs_allocated()
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x = Tensor.ones(256).contiguous().realize()
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y = x+Tensor.ones(256).contiguous()
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ys = y.schedule()
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del x
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run_schedule(ys)
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np.testing.assert_equal(y.numpy(), np.full((256,), 2))
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self.assertEqual(bufs_allocated()-init, 1)
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del y
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self.assertEqual(bufs_allocated()-init, 0)
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if __name__ == '__main__':
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unittest.main()
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