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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.
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
import unittest
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from tinygrad.helpers import getenv
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import torch
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import tinygrad.nn.torch
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import numpy as np
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@unittest.skipIf(getenv("GPUS",1)<=1, "only single GPU")
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class TestTorchBackendMultiGPU(unittest.TestCase):
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def setUp(self):
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self._prev_device = torch.get_default_device()
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torch.set_default_device("tiny")
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def tearDown(self): torch.set_default_device(self._prev_device)
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def test_transfer(self):
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a = torch.Tensor([[1,2],[3,4]]).to("tiny:0")
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b = torch.Tensor([[3,2],[1,0]]).to("tiny:1")
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self.assertNotEqual(a.device, b.device)
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np.testing.assert_array_equal(a.cpu(), a.to("tiny:1").cpu())
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np.testing.assert_array_equal(b.cpu(), b.to("tiny:1").cpu())
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def test_basic_ops(self):
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a = torch.Tensor([[1,2],[3,4]]).to("tiny:0")
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b = torch.Tensor([[3,2],[1,0]]).to("tiny:1")
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c1 = a + b.to("tiny:0")
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c2 = b + a.to("tiny:1")
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np.testing.assert_array_equal(c1.cpu(), torch.full((2,2),4).cpu())
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np.testing.assert_array_equal(c1.cpu(), c2.cpu())
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# TODO: torch.distributed functions
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if __name__ == "__main__":
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unittest.main()
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