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64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
import unittest
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from tinygrad import dtypes, Tensor
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class TestRandomness(unittest.TestCase):
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def test_rand_like(self):
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empty = Tensor.empty((80, 44))
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rand = Tensor.rand_like(empty)
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assert rand.shape == empty.shape
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assert rand.dtype == empty.dtype
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assert rand.device == empty.device
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def test_randn_like(self):
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empty = Tensor.empty((80, 44))
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rand = Tensor.randn_like(empty)
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assert rand.shape == empty.shape
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assert rand.dtype == empty.dtype
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assert rand.device == empty.device
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def test_rand_like_zero_shape(self):
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empty = Tensor.empty(0, 20)
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rand = Tensor.rand_like(empty)
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assert rand.shape == empty.shape
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assert rand.dtype == empty.dtype
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assert rand.device == empty.device
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def test_rand_like_more_dims(self):
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empty = Tensor.empty((1, 2, 3, 4, 5, 6))
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rand = Tensor.rand_like(empty)
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assert rand.shape == empty.shape
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assert rand.dtype == empty.dtype
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assert rand.device == empty.device
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def test_rand_like_dtype(self):
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empty = Tensor.empty((80, 44), dtype=dtypes.float16)
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rand = Tensor.rand_like(empty)
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assert rand.shape == empty.shape
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assert rand.dtype == empty.dtype
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assert rand.device == empty.device
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empty = Tensor.empty((80, 44))
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rand = Tensor.rand_like(empty, dtype=dtypes.float16)
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assert rand.shape == empty.shape
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assert rand.dtype == dtypes.float16
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assert rand.device == empty.device
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def test_randn_like_dtype(self):
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empty = Tensor.empty((80, 44), dtype=dtypes.float16)
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rand = Tensor.randn_like(empty)
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assert rand.shape == empty.shape
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assert rand.dtype == empty.dtype
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assert rand.device == empty.device
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empty = Tensor.empty((80, 44))
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rand = Tensor.randn_like(empty, dtype=dtypes.float16)
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assert rand.shape == empty.shape
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assert rand.dtype == dtypes.float16
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assert rand.device == empty.device
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def test_randn_device(self):
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self.assertEqual(Tensor.randn(3,3,device="NULL").device, "NULL")
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if __name__ == '__main__':
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unittest.main()
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