115 lines
4.3 KiB
Python
115 lines
4.3 KiB
Python
import unittest
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from tinygrad import Tensor
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from tinygrad.ops import UPat, Ops, UOp
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realized_pattern = UPat(Ops.VIEW, src=(UPat(Ops.BUFFER),))
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const_pattern = UPat(Ops.CONST, src=(UPat(Ops.VIEW, src=(UPat(Ops.DEVICE),),)))
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def is_pattern_uop(u:UOp, pat:UPat): assert pat.match(u, {}), f"{u}\nis not\n{pat}"
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def is_pattern(ten:Tensor, pat:UPat): is_pattern_uop(ten.lazydata, pat)
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class TestTensorMutates(unittest.TestCase):
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def test_mutate_add(self):
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a = Tensor([1,2,3])
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b = Tensor([4,5,6])
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ret = a+b
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pa = a.lazydata
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pb = b.lazydata
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pr = ret.lazydata
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ret.schedule()
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self.assertIsNot(pa, a.lazydata)
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self.assertIsNot(pb, b.lazydata)
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self.assertIsNot(pr, ret.lazydata)
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for t in [a,b,ret]: is_pattern(t, realized_pattern)
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def test_reshape_is_same_parent(self):
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a = Tensor([1,2,3])
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b = Tensor([4,5,6])
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c = a+b
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d = (a+b).reshape(3,1)
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d.realize()
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is_pattern_uop(d.lazydata.base, realized_pattern)
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is_pattern_uop(c.lazydata.base, realized_pattern)
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def test_reshape_is_same_child(self):
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a = Tensor([1,2,3])
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b = Tensor([4,5,6])
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c = a+b
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d = (a+b).reshape(3,1)
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c.realize()
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is_pattern_uop(c.lazydata.base, realized_pattern)
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is_pattern_uop(d.lazydata.base, realized_pattern)
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class TestTensorUopRepresentation(unittest.TestCase):
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def test_realized(self):
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a = Tensor([1.,2,3]).realize()
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print(a.lazydata)
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is_pattern(a, realized_pattern)
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def test_add_realized(self):
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a = Tensor([1.,2,3]).realize()
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b = Tensor([4.,5,6]).realize()
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c = a+b
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print(c.lazydata)
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is_pattern(c, UPat(Ops.ADD, src=(realized_pattern, realized_pattern)))
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def test_const_pattern(self):
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a = Tensor(1)
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print(a.lazydata)
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is_pattern(a, const_pattern) # const in tensor has a DEVICE and VIEW src
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is_pattern(a, UPat.cvar("x")) # even cvar works!
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def test_consts_do_not_realize(self):
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a = Tensor(1)
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print(a.lazydata)
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pre_realize = a.lazydata
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a.realize()
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assert a.lazydata is pre_realize
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def test_viewed_consts_do_not_realize(self):
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a = Tensor.ones(10, 10)
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print(a.lazydata)
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pre_realize = a.lazydata
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a.realize()
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assert a.lazydata is pre_realize
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# currently, CONSTs have a "fake" BUFFER. this should be fixed
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# current:
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# UOp(Ops.EXPAND, dtypes.float, arg=(10, 10), src=(
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# UOp(Ops.RESHAPE, dtypes.float, arg=(1, 1), src=(
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# UOp(Ops.VIEW, dtypes.float, arg=ShapeTracker(views=(View(shape=(), strides=(), offset=0, mask=None, contiguous=True),)), src=(
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# UOp(Ops.BUFFER, dtypes.float, arg=(-1, 'METAL', 1), src=()),
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# UOp(Ops.CONST, dtypes.float, arg=1.0, src=()),)),)),))
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# expected:
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# UOp(Ops.EXPAND, dtypes.float, arg=(10, 10), src=(
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# UOp(Ops.RESHAPE, dtypes.float, arg=(1, 1), src=(
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# UOp(Ops.VIEW, dtypes.float, arg=ShapeTracker(views=(View(shape=(), strides=(), offset=0, mask=None, contiguous=True),)), src=(
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# UOp(Ops.CONST, dtypes.float, arg=1.0, src=(
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# UOp(Ops.DEVICE, dtypes.void, arg="METAL", src=()),)),)),))
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def test_consts_dont_have_buffers(self):
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a = Tensor.ones(10, 10)
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print(a.lazydata)
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buffers_in_parents = [x.op for x in a.lazydata.toposort if x.op is Ops.BUFFER]
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self.assertEqual(len(buffers_in_parents), 0)
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# currently, COPY has an extra BUFFER on the output
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# current:
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# UOp(Ops.VIEW, dtypes.float, arg=ShapeTracker(views=(View(shape=(3,), strides=(1,), offset=0, mask=None, contiguous=True),)), src=(
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# UOp(Ops.BUFFER, dtypes.float, arg=(2, 'TEST', 3), src=()),
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# UOp(Ops.COPY, dtypes.float, arg=('TEST', False), src=(
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# UOp(Ops.VIEW, dtypes.float, arg=ShapeTracker(views=(View(shape=(3,), strides=(1,), offset=0, mask=None, contiguous=True),)), src=(
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# UOp(Ops.BUFFER, dtypes.float, arg=(1, 'METAL', 3), src=()),)),)),))
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# expected:
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# UOp(Ops.COPY, dtypes.float, arg=('TEST', False), src=(
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# UOp(Ops.VIEW, dtypes.float, arg=ShapeTracker(views=(View(shape=(3,), strides=(1,), offset=0, mask=None, contiguous=True),)), src=(
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# UOp(Ops.BUFFER, dtypes.float, arg=(1, 'METAL', 3), src=()),))
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@unittest.expectedFailure
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def test_copyin(self):
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a = Tensor([1.,2,3]).realize()
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c = a.to("TEST") # NOTE: this isn't checked
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print(c.lazydata)
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# NOTE: this is wrong, COPY has an extra buffer for some reason
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is_pattern(c, UPat(Ops.COPY, src=(realized_pattern,)))
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if __name__ == '__main__':
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unittest.main()
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