fix bug with float8 + inference_mode

Summary:

As titled, just needed to add `reshape` to supported ops.

Test Plan:

```
pytest test/float8/test_base.py -s -x -k inference_mode
```

Reviewers:

Subscribers:

Tasks:

Tags:

Author: vkuzo

test/float8/test_base.py

@@ -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(
@@ -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__])

torchao/float8/float8_ops.py

@@ -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):