
* 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
17 lines
565 B
Python
17 lines
565 B
Python
import unittest
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from extra.f16_decompress import u32_to_f16
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from tinygrad.tensor import Tensor
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from tinygrad.device import is_dtype_supported
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from tinygrad import dtypes
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import numpy as np
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class TestF16Decompression(unittest.TestCase):
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@unittest.skipUnless(is_dtype_supported(dtypes.float16), "need float16")
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def test_u32_to_f16(self):
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a = Tensor.randn(50, dtype=dtypes.float16)
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f16_as_u32 = a.bitcast(dtypes.uint32)
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f16 = u32_to_f16(f16_as_u32)
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ref = a.numpy()
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out = f16.numpy().astype(np.float16)
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np.testing.assert_allclose(out, ref)
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