mirror of https://github.com/commaai/tinygrad.git
44 lines
1.9 KiB
Python
44 lines
1.9 KiB
Python
import unittest
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from typing import List, cast
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import numpy as np
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from tinygrad.codegen.uops import UOp, UOps
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from tinygrad.device import Buffer, Device
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from tinygrad.dtype import PtrDType, DType, dtypes
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from tinygrad.engine.realize import CompiledRunner
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from tinygrad.helpers import dedup, flatten
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from tinygrad.renderer.cstyle import CStyleLanguage
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from tinygrad.ops import BinaryOps
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from tinygrad.renderer import Program
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from tinygrad.tensor import Tensor, _to_np_dtype
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from tinygrad.lazy import LazyBuffer
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def _test_uop_result(inputs:List[Tensor], stores:List[UOp]):
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for x in inputs: x.realize()
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assert all(x.op is UOps.STORE for x in stores)
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# NOTE: we only toposort the stores
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uops: List[UOp] = []
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def _recursive_add(uop:UOp) -> List[UOp]: return flatten([_recursive_add(x) for x in uop.src])+[uop]
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uops = dedup(flatten(_recursive_add(st) for st in stores))
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outbufs = [Buffer(Device.DEFAULT, 1, cast(DType,u.src[2].dtype)).allocate() for u in uops if u.op is UOps.STORE]
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inbufs = [cast(LazyBuffer,x.lazydata).base.buffer for x in inputs]
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src = Device[Device.DEFAULT].renderer.render("test", uops)
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ei = CompiledRunner(Program("test", src, Device.DEFAULT, uops=uops))
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ei.exec(outbufs+inbufs)
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return [np.frombuffer(x.as_buffer(), _to_np_dtype(x.dtype)) for x in outbufs]
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@unittest.skipIf(not isinstance(Device[Device.DEFAULT].renderer, CStyleLanguage), "uops are for cstyle")
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class TestCStyleFailures(unittest.TestCase):
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def test_inline_const_alu(self):
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a = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int), (), 0)
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b = UOp(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int), (), 1)
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idx = UOp.const(dtypes.int, 0)
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ld = UOp(UOps.LOAD, dtypes.int, (b, idx))
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alu = ld.alu(BinaryOps.MAX, UOp.const(dtypes.int, dtypes.min(dtypes.int)))
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store = UOp.store(a, idx, alu)
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# CLANG doesn't use the max function
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ret = _test_uop_result([Tensor([1])], [store])[0]
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self.assertEqual(ret[0], 1)
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if __name__ == '__main__':
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unittest.main()
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