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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.
41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
import unittest
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from tinygrad import Tensor, Context, Variable, Device
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from test.helpers import needs_second_gpu
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class TestValidateWithCPU(unittest.TestCase):
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def setUp(self):
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self.ctx = Context(VALIDATE_WITH_CPU=1)
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self.ctx.__enter__()
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def tearDown(self): self.ctx.__exit__(None, None, None)
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def test_add(self): self.assertListEqual((Tensor([1.,2,3])+Tensor([4.,5,6])).tolist(), [5.0, 7.0, 9.0])
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def test_mul(self): self.assertListEqual((Tensor([1.,2,3])*Tensor([4.,5,6])).tolist(), [4.0, 10.0, 18.0])
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def test_sum(self): self.assertEqual(Tensor([1.,2,3,4]).sum().item(), 10.0)
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def test_reduce_then_op(self): self.assertEqual((Tensor([1.,2,3,4]).sum() * 2).item(), 20.0)
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def test_assign(self):
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a = Tensor([1.,2,3]).realize()
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a.assign(a + 1).realize()
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self.assertListEqual(a.tolist(), [2.0, 3.0, 4.0])
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def test_buffer_view(self):
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self.assertListEqual((Tensor([1.,2,3,4,5,6,7,8])[2:6] + 1).tolist(), [4.0, 5.0, 6.0, 7.0])
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def test_symbolic(self):
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i = Variable('i', 1, 10)
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ones = Tensor.ones(10).contiguous()
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self.assertListEqual((ones[:i.bind(5)] + 1).contiguous()[:5].tolist(), [2.0]*5)
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def test_multi_kernel(self):
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a = (Tensor([1.,2,3]) + 1).contiguous()
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b = (a * 2).contiguous()
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self.assertListEqual((b - 1).tolist(), [3.0, 5.0, 7.0])
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@needs_second_gpu
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def test_sharded(self):
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t = Tensor([1.,2,3,4]).shard((f"{Device.DEFAULT}:0", f"{Device.DEFAULT}:1"), axis=0)
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self.assertListEqual((t + 1).tolist(), [2.0, 3.0, 4.0, 5.0])
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if __name__ == "__main__":
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unittest.main()
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