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Zero sized tensor support for repeat_interleave #23717

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Zero sized tensor support for repeat_interleave #23717

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e3bb6b9
Zero sized tensor support for repeat_interleave
zasdfgbnm Aug 2, 2019
e948743
Merge remote-tracking branch 'origin/master' into HEAD
Aug 2, 2019
cddc2e2
Merge remote-tracking branch 'origin/master' into HEAD
Aug 2, 2019
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3 changes: 3 additions & 0 deletions aten/src/ATen/native/Repeat.h
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Expand Up @@ -9,6 +9,9 @@ static inline Tensor repeat_interleave_common(const Tensor &repeats) {
TORCH_CHECK(repeats.dim() == 1, "repeat_interleave only accept 1D vector as repeat");
TORCH_CHECK(repeats.scalar_type() == at::kLong, "repeats has to be Long tensor");
TORCH_CHECK((repeats >= 0).all().item<uint8_t>(), "repeats can not be negative");
if (repeats.size(0) == 0) {
return at::empty_like(repeats);
}
Tensor repeats_ = repeats.contiguous();
Tensor cumsum = repeats.cumsum(0);
int64_t total = cumsum[-1].item<int64_t>();
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9 changes: 9 additions & 0 deletions test/test_torch.py
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Expand Up @@ -9121,6 +9121,15 @@ def test_repeat_interleave(self):
with self.assertRaises(RuntimeError):
torch.repeat_interleave(y, torch.arange(9).reshape(3, 3), dim=0)

# test zero sized dimension
x = torch.zeros((5, 0))
y = torch.repeat_interleave(x, repeats=3, dim=1)
self.assertEqual(y, x.new_zeros(5, 0))

x = torch.tensor([], dtype=torch.int64)
y = torch.repeat_interleave(x, x)
self.assertEqual(y, x)

@unittest.skipIf(not TEST_NUMPY, "Numpy not found")
def test_repeat_tile(self):

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