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127 lines
4.9 KiB
Python
127 lines
4.9 KiB
Python
import unittest
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from tinygrad import Tensor
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from tinygrad.dtype import Invalid, dtypes
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from tinygrad.engine.realize import run_schedule
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class TestInvalidTensor(unittest.TestCase):
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def _invalid_test_helper(self, out, expected):
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sched = out.schedule()
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buf = out.uop.buffer
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buf.allocate()
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sentinel = memoryview(bytearray(b'\x42' * buf.nbytes))
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buf.copyin(sentinel)
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before = buf.as_memoryview().cast(out.dtype.fmt).tolist()
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run_schedule(sched)
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ret = buf.as_memoryview().cast(out.dtype.fmt).tolist()
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for i,v in enumerate(expected): self.assertEqual(ret[i], before[i] if v is None else v)
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def test_where_x_invalid(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid)
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self._invalid_test_helper(out, [1.0, 2.0, None, None])
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def test_where_invalid_x(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Invalid, Tensor([1.0, 2.0, 3.0, 4.0]))
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self._invalid_test_helper(out, [None, None, 3.0, 4.0])
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def test_where_invalid_2d(self):
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mask = Tensor.arange(6).reshape(2, 3) < 3
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vals = Tensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
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out = mask.where(vals, Invalid)
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self._invalid_test_helper(out, [1.0, 2.0, 3.0, None, None, None])
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def test_where_invalid_int(self):
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mask = Tensor.arange(3) < 2
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out = mask.where(Tensor([10, 20, 30]), Invalid)
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self._invalid_test_helper(out, [10, 20, None])
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def test_where_invalid_add(self):
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mask = Tensor.arange(3) < 2
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mixed = mask.where(Tensor([10.0, 20.0, 30.0]), Invalid)
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out = mixed + Tensor([1.0, 2.0, 3.0])
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self._invalid_test_helper(out, [11.0, 22.0, None])
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def test_where_invalid_add_left(self):
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mask = Tensor.arange(3) < 2
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mixed = mask.where(Tensor([10.0, 20.0, 30.0]), Invalid)
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out = Tensor([1.0, 2.0, 3.0]) + mixed
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self._invalid_test_helper(out, [11.0, 22.0, None])
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def test_where_always_true(self):
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mask = Tensor.arange(3) < 10
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out = mask.where(Tensor([10.0, 20.0, 30.0]), Invalid)
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self._invalid_test_helper(out, [10.0, 20.0, 30.0])
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def test_where_cast(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid).cast(dtypes.int)
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self._invalid_test_helper(out, [1, 2, None, None])
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def test_where_compare(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid) > 1
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self._invalid_test_helper(out, [False, True, None, None])
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def test_where_unary(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 4.0, 9.0, 16.0]), Invalid).sqrt()
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self._invalid_test_helper(out, [1.0, 2.0, None, None])
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def test_where_where(self):
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mask1 = Tensor.arange(4) < 2
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mask2 = Tensor.arange(4) > 0
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out = mask2.where(mask1.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid), Invalid)
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self._invalid_test_helper(out, [None, 2.0, None, None])
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def test_where_reduce_always_true(self):
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mask = Tensor.arange(4) < 9
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid).sum()
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self._invalid_test_helper(out, [10.0])
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def test_invalid_unary(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Tensor.full((4,), Invalid, dtype=dtypes.float).sqrt())
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self._invalid_test_helper(out, [1.0, 2.0, None, None])
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def test_invalid_binary(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Tensor.full((4,), Invalid, dtype=dtypes.float) + 2)
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self._invalid_test_helper(out, [1.0, 2.0, None, None])
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def test_invalid_binary_left(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), 2 + Tensor.full((4,), Invalid, dtype=dtypes.float))
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self._invalid_test_helper(out, [1.0, 2.0, None, None])
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def test_invalid_reshape(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid).reshape(2,2)
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self._invalid_test_helper(out, [1.0, 2.0, None, None])
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def test_invalid_cast(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Tensor.full((4,), Invalid, dtype=dtypes.int).cast(dtypes.float))
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self._invalid_test_helper(out, [1.0, 2.0, None, None])
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def test_invalid_bitcast(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Tensor.full((4,), Invalid, dtype=dtypes.int).bitcast(dtypes.float))
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self._invalid_test_helper(out, [1.0, 2.0, None, None])
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def test_where_bitcast(self):
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mask = Tensor.arange(4) < 2
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out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Tensor.full((4,), Invalid, dtype=dtypes.int)).bitcast(dtypes.int)
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self._invalid_test_helper(out, [0x3f800000, 0x40000000, None, None])
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# tensor indexing uses reduce, so the entire result becomes invalid
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@unittest.expectedFailure
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def test_tensor_index(self):
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idx = (Tensor.arange(4) < 2).where(Tensor([0, 1, 2, 3]), Invalid)
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out = Tensor([1.0, 2.0, 3.0, 4.0])[idx]
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self._invalid_test_helper(out, [1.0, 2.0, None, None])
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if __name__ == '__main__':
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unittest.main()
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