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33 lines
1.4 KiB
Python
33 lines
1.4 KiB
Python
import unittest
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from tinygrad import dtypes, Device, Tensor, Context
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from tinygrad.dtype import AddrSpace
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from tinygrad.helpers import getenv
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from tinygrad.uop.ops import UOp, Ops, KernelInfo, AxisType
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from tinygrad.shape.shapetracker import ShapeTracker
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from tinygrad.engine.realize import get_program, ExecItem, CompiledRunner
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class TestDefineReg(unittest.TestCase):
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def test_simple(self, at=AxisType.UPCAST):
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N = 16
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bout = UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(N*N), arg=0).view(ShapeTracker.from_shape((N,N)))
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a = UOp(Ops.DEFINE_GLOBAL, dtypes.float.ptr(N*N), arg=1).view(ShapeTracker.from_shape((N,N)))
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a_col = UOp(Ops.DEFINE_REG, dtypes.float.ptr(N, AddrSpace.REG), arg=0).view(ShapeTracker.from_shape((N,N), (0,1)))
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out = a_col.load(a_col.store(a.load()))
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sink = bout.store(out).sink(arg=KernelInfo(name="regcopy", axis_types=(AxisType.LOOP, at)))
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prg = get_program(sink, Device.default.renderer)
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with Context(DEBUG=0):
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a = Tensor.randn(N, N).realize()
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b = Tensor.empty(N, N).realize()
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hrunner = CompiledRunner(prg)
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ExecItem(hrunner, [b.uop.buffer, a.uop.buffer]).run(wait=True)
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with Context(DEBUG=0):
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self.assertEqual((b-a).mean().item(), 0.0)
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@unittest.skipIf(getenv("PTX"), "ptx needs regs to be unrolled")
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def test_simple_loop(self): self.test_simple(AxisType.LOOP)
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if __name__ == '__main__':
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unittest.main()
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