
* fix.. speed_limit error... * draw tpms settings. * fix.. traffic light stopping only.. * fix.. waze cam * fix.. waze... * add setting (Enable comma connect ) * auto detect LFA2 * fix.. cruisespeed1 * vff2 driving model. * fix.. * agnos 12.3 * fix.. * ff * ff * test * ff * fix.. drawTurnInfo.. * Update drive_helpers.py * fix.. support eng voice eng sounds fix settings... english fix.. mph.. fix.. roadlimit speed bug.. * new vff model.. 250608 * fix soundd.. * fix safe exit speed.. * fix.. sounds. * fix.. radar timeStep.. * KerryGold model * Update drive_helpers.py * fix.. model. * fix.. * fix.. * Revert "fix.." This reverts commit b09ec459afb855c533d47fd7e8a1a6b1a09466e7. * Revert "fix.." This reverts commit 290bec6b83a4554ca232d531a911edccf94a2156. * fix esim * add more acc table. 10kph * kg update.. * fix cruisebutton mode3 * test atc..cond. * fix.. canfd * fix.. angle control limit
74 lines
2.0 KiB
Python
74 lines
2.0 KiB
Python
import unittest
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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, CI
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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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if device in ["REMOTE", "DISK", "NPY", "FAKE", "DSP", "NULL"]: continue
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if not CI: print(device)
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if device in exclude_devices:
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if not CI: 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 not CI: 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, device=device, requires_grad=True)
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y = Tensor([[2.0,0,-2.0]], device=device, requires_grad=True)
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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(64, device=device, requires_grad=True)
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y = Tensor.eye(64, device=device, requires_grad=True)
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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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