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Vehicle Researcher
33d5cfc393
date: 2025-12-18T23:23:16 master commit: 3cdee7b54718ee14bd85befd6c5bad3d699c5479
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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