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fix test_invalid_tensor when before values are nan (#15215)

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Christopher Milan
2026-03-10 20:51:19 -07:00
committed by GitHub
parent fce87f19a8
commit 2fb8a7f60f
1 changed files with 31 additions and 57 deletions
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88
test/unit/test_invalid_tensor.py
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@@ -1,4 +1,4 @@
import unittest
import math, unittest
from unittest.mock import patch
from tinygrad import Tensor
from tinygrad.device import Device
@@ -6,7 +6,7 @@ from tinygrad.dtype import Invalid, dtypes
from tinygrad.helpers import unwrap_class_type
class TestInvalidTensor(unittest.TestCase):
def _realize_and_capture(self, out):
def _invalid_test_helper(self, out, expected):
before = None
original_call = (runtime_cls:=unwrap_class_type(Device[Device.DEFAULT].runtime)).__call__
@@ -17,151 +17,125 @@ class TestInvalidTensor(unittest.TestCase):
with patch.object(runtime_cls, '__call__', patched_call): ret = out.tolist()
for i,v in enumerate(expected):
if v is None: assert before[i] == ret[i] or (math.isnan(before[i]) and math.isnan(ret[i]))
else: assert ret[i] == v
return before, ret
def test_where_x_invalid(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid)
before, ret = self._realize_and_capture(out)
assert ret[0] == 1.0 and ret[1] == 2.0
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [1.0, 2.0, None, None])
def test_where_invalid_x(self):
mask = Tensor.arange(4) < 2
out = mask.where(Invalid, Tensor([1.0, 2.0, 3.0, 4.0]))
before, ret = self._realize_and_capture(out)
assert ret[2] == 3.0 and ret[3] == 4.0
assert before[0] == ret[0] and before[1] == ret[1]
self._invalid_test_helper(out, [None, None, 3.0, 4.0])
def test_where_invalid_2d(self):
mask = Tensor.arange(6).reshape(2, 3) < 3
vals = Tensor([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
out = mask.where(vals, Invalid)
before, ret = self._realize_and_capture(out)
before, ret = self._invalid_test_helper(out, [])
assert ret[0] == [1.0, 2.0, 3.0]
assert before[3] == ret[1][0] and before[4] == ret[1][1] and before[5] == ret[1][2]
assert before[3] == ret[1][0] or (math.isnan(before[3]) and math.isnan(ret[1][0]))
assert before[4] == ret[1][1] or (math.isnan(before[4]) and math.isnan(ret[1][1]))
assert before[5] == ret[1][2] or (math.isnan(before[5]) and math.isnan(ret[1][2]))
def test_where_invalid_int(self):
mask = Tensor.arange(3) < 2
out = mask.where(Tensor([10, 20, 30]), Invalid)
before, ret = self._realize_and_capture(out)
assert ret[0] == 10 and ret[1] == 20
assert before[2] == ret[2]
self._invalid_test_helper(out, [10, 20, None])
def test_where_invalid_add(self):
mask = Tensor.arange(3) < 2
mixed = mask.where(Tensor([10.0, 20.0, 30.0]), Invalid)
out = mixed + Tensor([1.0, 2.0, 3.0])
before, ret = self._realize_and_capture(out)
assert ret[0] == 11.0 and ret[1] == 22.0
assert before[2] == ret[2]
self._invalid_test_helper(out, [11.0, 22.0, None])
def test_where_invalid_add_left(self):
mask = Tensor.arange(3) < 2
mixed = mask.where(Tensor([10.0, 20.0, 30.0]), Invalid)
out = Tensor([1.0, 2.0, 3.0]) + mixed
before, ret = self._realize_and_capture(out)
assert ret[0] == 11.0 and ret[1] == 22.0
assert before[2] == ret[2]
self._invalid_test_helper(out, [11.0, 22.0, None])
def test_where_always_true(self):
mask = Tensor.arange(3) < 10
out = mask.where(Tensor([10.0, 20.0, 30.0]), Invalid)
before, ret = self._realize_and_capture(out)
assert ret == [10.0, 20.0, 30.0]
self._invalid_test_helper(out, [10.0, 20.0, 30.0])
def test_where_cast(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid).cast(dtypes.int)
before, ret = self._realize_and_capture(out)
assert ret[0] == 1 and ret[1] == 2
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [1, 2, None, None])
def test_where_compare(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid) > 1
before, ret = self._realize_and_capture(out)
assert not ret[0] and ret[1]
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [False, True, None, None])
def test_where_unary(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 4.0, 9.0, 16.0]), Invalid).sqrt()
before, ret = self._realize_and_capture(out)
assert ret[0] == 1.0 and ret[1] == 2.0
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [1.0, 2.0, None, None])
def test_where_where(self):
mask1 = Tensor.arange(4) < 2
mask2 = Tensor.arange(4) > 0
out = mask2.where(mask1.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid), Invalid)
before, ret = self._realize_and_capture(out)
assert ret[1] == 2.0
assert before[0] == ret[0] and before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [None, 2.0, None, None])
def test_where_reduce_always_true(self):
mask = Tensor.arange(4) < 9
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid).sum()
before, ret = self._realize_and_capture(out)
before, ret = self._invalid_test_helper(out, [])
assert ret == 10.0
def test_invalid_unary(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Tensor.full((4,), Invalid, dtype=dtypes.float).sqrt())
before, ret = self._realize_and_capture(out)
assert ret[0] == 1.0 and ret[1] == 2.0
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [1.0, 2.0, None, None])
def test_invalid_binary(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Tensor.full((4,), Invalid, dtype=dtypes.float) + 2)
before, ret = self._realize_and_capture(out)
assert ret[0] == 1.0 and ret[1] == 2.0
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [1.0, 2.0, None, None])
def test_invalid_binary_left(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), 2 + Tensor.full((4,), Invalid, dtype=dtypes.float))
before, ret = self._realize_and_capture(out)
assert ret[0] == 1.0 and ret[1] == 2.0
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [1.0, 2.0, None, None])
def test_invalid_reshape(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Invalid).reshape(2,2)
before, ret = self._realize_and_capture(out)
before, ret = self._invalid_test_helper(out, [])
assert ret[0] == [1.0, 2.0]
assert ret[1] == [before[2], before[3]]
assert ret[1][0] == before[2] or (math.isnan(ret[1][0]) and math.isnan(before[2]))
assert ret[1][1] == before[3] or (math.isnan(ret[1][1]) and math.isnan(before[3]))
def test_invalid_cast(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Tensor.full((4,), Invalid, dtype=dtypes.int).cast(dtypes.float))
before, ret = self._realize_and_capture(out)
assert ret[0] == 1.0 and ret[1] == 2.0
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [1.0, 2.0, None, None])
def test_invalid_bitcast(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Tensor.full((4,), Invalid, dtype=dtypes.int).bitcast(dtypes.float))
before, ret = self._realize_and_capture(out)
assert ret[0] == 1.0 and ret[1] == 2.0
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [1.0, 2.0, None, None])
def test_where_bitcast(self):
mask = Tensor.arange(4) < 2
out = mask.where(Tensor([1.0, 2.0, 3.0, 4.0]), Tensor.full((4,), Invalid, dtype=dtypes.int)).bitcast(dtypes.int)
before, ret = self._realize_and_capture(out)
assert ret[0] == 0x3f800000 and ret[1] == 0x40000000
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [0x3f800000, 0x40000000, None, None])
# tensor indexing uses reduce, so the entire result becomes invalid
@unittest.expectedFailure
def test_tensor_index(self):
idx = (Tensor.arange(4) < 2).where(Tensor([0, 1, 2, 3]), Invalid)
out = Tensor([1.0, 2.0, 3.0, 4.0])[idx]
before, ret = self._realize_and_capture(out)
assert ret[0] == 1.0 and ret[1] == 2.0
assert before[2] == ret[2] and before[3] == ret[3]
self._invalid_test_helper(out, [1.0, 2.0, None, None])
if __name__ == '__main__':
unittest.main()