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https://github.com/firestar5683/StarPilot.git
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firestar5683
22a8575199
Keep official openpilot ancestry and dependency licenses. Store resources directly in Git, remove LFS setup requirements, and leave the downloadable big model outside the source tree.
127 lines
3.2 KiB
Python
127 lines
3.2 KiB
Python
import unittest
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from tinygrad import Tensor, dtypes
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class TestCallify(unittest.TestCase):
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def test_basic(self):
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a = Tensor([1.,2,3])
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b = Tensor([4.,5,6])
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out = a + b
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out.callify()
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self.assertListEqual(out.tolist(), [5.0, 7.0, 9.0])
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def test_const(self):
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out = Tensor(2.0) + Tensor(3.0)
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out.callify()
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self.assertEqual(out.item(), 5.0)
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def test_sum(self):
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out = Tensor.ones(16).contiguous().sum()
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out.callify()
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self.assertEqual(out.item(), 16.0)
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def test_multi_output(self):
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a = Tensor([1.,2,3])
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b = Tensor([4.,5,6])
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c = a + b
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d = a * b
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c.callify(d)
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self.assertListEqual(c.tolist(), [5.0, 7.0, 9.0])
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self.assertListEqual(d.tolist(), [4.0, 10.0, 18.0])
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def test_two_callify_independent(self):
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a = Tensor([1.,2,3])
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b = Tensor([4.,5,6])
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c = a + b
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c.callify()
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d = Tensor([10.,20,30])
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e = Tensor([1.,1,1])
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f = d - e
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f.callify()
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self.assertListEqual(c.tolist(), [5.0, 7.0, 9.0])
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self.assertListEqual(f.tolist(), [9.0, 19.0, 29.0])
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def test_two_callify_shared_input(self):
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a = Tensor([1.,2,3]).contiguous().realize()
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b = a + 1
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b.callify()
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c = a * 2
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c.callify()
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self.assertListEqual(b.tolist(), [2.0, 3.0, 4.0])
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self.assertListEqual(c.tolist(), [2.0, 4.0, 6.0])
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def test_chained_callify(self):
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a = Tensor([1.,2,3])
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b = a + 1
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b.callify()
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b.realize()
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c = b + 1
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c.callify()
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self.assertListEqual(c.tolist(), [3.0, 4.0, 5.0])
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def test_gemm(self):
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a = Tensor.ones(8, 8).contiguous()
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b = Tensor.eye(8).contiguous()
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out = a @ b
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out.callify()
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lst = out.tolist()
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for y in range(8):
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for x in range(8):
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self.assertEqual(lst[y][x], 1.0)
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def test_int_dtype(self):
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a = Tensor([1,2,3], dtype=dtypes.int)
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b = Tensor([4,5,6], dtype=dtypes.int)
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out = a + b
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out.callify()
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self.assertListEqual(out.tolist(), [5, 7, 9])
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def test_reduce(self):
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out = Tensor([1.,2,3,4]).sum()
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out.callify()
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self.assertEqual(out.item(), 10.0)
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def test_multiple_ops(self):
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a = Tensor([1.,2,3])
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b = Tensor([4.,5,6])
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out = (a + b) * (a - b)
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out.callify()
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self.assertListEqual(out.tolist(), [-15.0, -21.0, -27.0])
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def test_double_callify(self):
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a = Tensor([1.,2,3])
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b = Tensor([4.,5,6])
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out = a + b
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out.callify()
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out.callify()
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self.assertListEqual(out.tolist(), [5.0, 7.0, 9.0])
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def test_double_callify_multi_output(self):
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a = Tensor([1.,2,3])
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b = Tensor([4.,5,6])
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c = a + b
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d = a * b
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c.callify(d)
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c.callify(d)
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self.assertListEqual(c.tolist(), [5.0, 7.0, 9.0])
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self.assertListEqual(d.tolist(), [4.0, 10.0, 18.0])
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def test_intermediate_clone_persists(self):
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x = (Tensor([1, 2, 3]).realize() + 1).clone()
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y = (x * 2).realize()
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self.assertTrue(x.uop.has_buffer_identity())
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self.assertEqual(x.tolist(), [2, 3, 4])
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self.assertEqual(y.tolist(), [4, 6, 8])
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def test_zero_size_cat_with_rng(self):
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# Empty outputs must not replay a pending RNG counter update.
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a = Tensor.rand(2, 2)
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b = Tensor.rand(2, 0)
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t = a.cat(b, dim=1).realize()
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self.assertEqual(t.shape, (2, 2))
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self.assertListEqual(t.tolist(), a.tolist())
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if __name__ == "__main__":
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unittest.main()
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