29 lines
936 B
Python
29 lines
936 B
Python
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import unittest
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from tinygrad import Tensor, Context, Device
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from tinygrad.codegen.kernel import Kernel, Opt, OptOps
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class TestLinearizerRewrite(unittest.TestCase):
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def test_reduction(self):
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t = Tensor.ones((64,64), device="NULL").contiguous().realize()
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out = (t*2).sum(axis=1)
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with Context(SPLIT_REDUCEOP=0, DEVECTORIZE=0):
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si = out.schedule()[-1]
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k = Kernel(si.ast, Device["CPU"].renderer)
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k.apply_opt(Opt(OptOps.UPCAST, 0, 4))
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k.apply_opt(Opt(OptOps.UNROLL, 0, 4))
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prg = k.to_program()
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print(prg.src)
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def test_arange(self):
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out = Tensor.arange(32, device="NULL")
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with Context(SPLIT_REDUCEOP=0, DEVECTORIZE=0):
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si = out.schedule()[-1]
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k = Kernel(si.ast, Device["CPU"].renderer)
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k.apply_opt(Opt(OptOps.UPCAST, 0, 4))
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k.apply_opt(Opt(OptOps.UNROLL, 0, 4))
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prg = k.to_program()
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print(prg.src)
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if __name__ == '__main__':
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unittest.main()
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