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test assign (#3798)
* Reapply "add failing assign test (#3796)" (#3797)
This reverts commit 1e1beb888c.
* no realized check
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@@ -84,6 +84,29 @@ class TestAssign(unittest.TestCase):
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for _ in range(4): f(y)
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assert y.item() == 4
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def test_assign_changes(self):
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a = Tensor.ones(4).contiguous().realize()
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old_a = a
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a.assign(Tensor.full((4,), 2.).contiguous())
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# NOTE: old_a is now 2, and this would match the behavior of pytorch
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new = a + old_a
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np.testing.assert_allclose(new.numpy(), 4)
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@unittest.expectedFailure
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def test_assign_diamond(self):
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a = Tensor.ones(4).contiguous().realize()
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times_a = a*3
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a.assign(Tensor.full((4,), 2.).contiguous())
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new = a + times_a
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np.testing.assert_allclose(new.numpy(), 5)
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def test_assign_diamond_alt(self):
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a = Tensor.ones(4).contiguous().realize()
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a.assign(Tensor.full((4,), 2.).contiguous())
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times_a = a*3
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new = a + times_a
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np.testing.assert_allclose(new.numpy(), 8)
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def test_assign_kv_cache(self):
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bsz, max_context = 2, 8
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@@ -59,10 +59,7 @@ class LazyBuffer:
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shape = self.shape if shape is None else shape
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return LazyBuffer.loadop(LoadOps.CONST, tuple(), self.dtype, self.device, arg=cast_scalar(val, self.dtype)).reshape((1,)*len(shape)).expand(shape)
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def assign(self, x:LazyBuffer) -> LazyBuffer:
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if self.base.realized is not None or self is not self.base: new_self = self
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else: new_self = create_lazybuffer(self.device, self.st, self.dtype, self.op, self.arg, self.srcs, enable_cache=False)
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return LazyBuffer.loadop(LoadOps.ASSIGN, self.shape, self.dtype, self.device, src=(x, new_self))
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def assign(self, x:LazyBuffer) -> LazyBuffer: return LazyBuffer.loadop(LoadOps.ASSIGN, self.shape, self.dtype, self.device, src=(x, self))
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def contiguous(self):
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if not self.st.contiguous or self.size != self.base.size or self.is_unrealized_const():
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ret = self.e(LoadOps.CONTIGUOUS)
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