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42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
#!/usr/bin/env python
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import unittest
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import numpy as np
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from tinygrad.tensor import Tensor, Device
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from extra.jit import TinyJit
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@unittest.skipUnless(Device.DEFAULT == "GPU", "JIT is only for GPU")
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class TestJit(unittest.TestCase):
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def test_simple_jit(self):
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@TinyJit
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def add(a, b): return a+b
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for _ in range(3):
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a = Tensor.randn(10, 10)
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b = Tensor.randn(10, 10)
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c = add(a, b)
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np.testing.assert_equal(c.numpy(), a.numpy()+b.numpy())
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def test_kwargs_jit(self):
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@TinyJit
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def add_kwargs(first, second): return first+second
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for _ in range(3):
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a = Tensor.randn(10, 10)
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b = Tensor.randn(10, 10)
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c = add_kwargs(first=a, second=b)
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np.testing.assert_equal(c.numpy(), a.numpy()+b.numpy())
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def test_array_jit(self):
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@TinyJit
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def add_array(arr): return arr[0]+arr[1]
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for i in range(3):
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a = Tensor.randn(10, 10)
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b = Tensor.randn(10, 10)
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a.realize(), b.realize()
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c = add_array([a,b])
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if i == 2:
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# should fail once jitted since jit can't handle arrays
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np.testing.assert_equal(np.any(np.not_equal(c.numpy(),a.numpy()+b.numpy())), True)
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else:
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np.testing.assert_equal(c.numpy(), a.numpy()+b.numpy())
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if __name__ == '__main__':
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unittest.main() |