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fix bug with float8 + inference_mode #659

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merged 1 commit into from
Aug 12, 2024
Merged

fix bug with float8 + inference_mode #659

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10 changes: 8 additions & 2 deletions test/float8/test_base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -390,6 +390,14 @@ def test_repr(self):
s = m.__repr__()
assert "i:dyn,w:del,go:dyn" in s

@unittest.skipIf(not is_cuda_8_9, "CUDA 8.9 not available")
def test_inference_mode(self):
x = torch.randn(32, 32, device='cuda')
m = nn.Sequential(nn.Linear(32, 32)).cuda()
m = convert_to_float8_training(m)
with torch.inference_mode(mode=True):
y = m(x)


class TestScaledMM:
@unittest.skipIf(
Expand Down Expand Up @@ -718,8 +726,6 @@ def test_fp8_tensor_statistics(self):
(zero_cnt, max_cnt) = fp8_tensor_statistics(fp8_over_underflow, lp_dtype)
self.assertEqual((zero_cnt, max_cnt), (tensor_len, tensor_len))

# ghstack test 1
# ghstack test 2

if __name__ == "__main__":
pytest.main([__file__])
1 change: 1 addition & 0 deletions torchao/float8/float8_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,7 @@ def decorator(func):
aten.slice.Tensor,
aten.transpose.int,
aten.fill_.Scalar,
aten.reshape.default,
]
)
def float8_desugar_op(aten_op, args, kwargs=None):
Expand Down
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