mirror of
https://github.com/firestar5683/StarPilot.git
synced 2026-11-08 13:33:42 +08:00
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.
75 lines
2.0 KiB
Python
75 lines
2.0 KiB
Python
import unittest, sys
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from tinygrad import Device
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from tinygrad.tensor import Tensor
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from tinygrad.helpers import getenv, OSX
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def multidevice_test(fxn):
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exclude_devices = getenv("EXCLUDE_DEVICES", "").split(",")
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def ret(self):
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for device in Device._devices:
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# broken on OSX USB AMD, why?
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if device in ["DISK", "NPY", "FAKE", "DSP", "NULL"] or (OSX and device in ["AMD"]): continue
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if sys.stdout.isatty(): print(device)
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if device in exclude_devices:
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if sys.stdout.isatty(): print(f"WARNING: {device} test is excluded")
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continue
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with self.subTest(device=device):
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try:
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Device[device]
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except Exception:
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if sys.stdout.isatty(): print(f"WARNING: {device} test isn't running")
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continue
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fxn(self, device)
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return ret
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class TestExample(unittest.TestCase):
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@multidevice_test
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def test_convert_to_cpu(self, device):
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a = Tensor([[1,2],[3,4]], device=device)
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assert a.numpy().shape == (2,2)
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b = a.to("CPU")
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assert b.numpy().shape == (2,2)
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@multidevice_test
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def test_2_plus_3(self, device):
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a = Tensor([2], device=device)
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b = Tensor([3], device=device)
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result = a + b
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print(f"{a.numpy()} + {b.numpy()} = {result.numpy()}")
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assert result.numpy()[0] == 5.
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@multidevice_test
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def test_example_readme(self, device):
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x = Tensor.eye(3).clone().to(device)
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y = Tensor([[2.0,0,-2.0]], device=device)
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z = y.matmul(x).sum()
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z.backward()
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x.grad.numpy() # dz/dx
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y.grad.numpy() # dz/dy
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assert x.grad.device == device
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assert y.grad.device == device
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@multidevice_test
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def test_example_matmul(self, device):
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try:
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Device[device]
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except Exception:
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print(f"WARNING: {device} test isn't running")
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return
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x = Tensor.eye(8).clone().to(device)
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y = Tensor.eye(8).clone().to(device)
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z = y.matmul(x).sum()
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z.backward()
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x.grad.numpy() # dz/dx
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y.grad.numpy() # dz/dy
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assert x.grad.device == device
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assert y.grad.device == device
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if __name__ == '__main__':
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unittest.main()
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