Adding the known bugs to 1.5 as well.

1 files changed, 21 insertions, 0 deletions

diff --git a/RELEASE.md b/RELEASE.md
index 728a840002..0fad3b5d41 100644
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -214,6 +214,27 @@ Yoni Tsafir, yordun, Yuan (Terry) Tang, Yuxin Wu, zhengdi, Zhengsheng Wei, ç”°ä¼
 * Minor refactor: move stats files from `stochastic` to `common` and remove
   `stochastic`.
 
+## Known Bugs
+* Using XLA:GPU with CUDA 9 and CUDA 9.1 results in garbage results and/or
+  `CUDA_ILLEGAL_ADDRESS` failures.
+
+  Google discovered in mid-December 2017 that the PTX-to-SASS compiler in CUDA 9
+  and CUDA 9.1 sometimes does not properly compute the carry bit when
+  decomposing 64-bit address calculations with large offsets (e.g. `load [x +
+  large_constant]`) into 32-bit arithmetic in SASS.
+
+  As a result, these versions of `ptxas` miscompile most XLA programs which use
+  more than 4GB of temp memory.  This results in garbage results and/or
+  `CUDA_ERROR_ILLEGAL_ADDRESS` failures.
+
+  A fix in CUDA 9.1.121 is expected in late February 2018.  We do not expect a
+  fix for CUDA 9.0.x.  Until the fix is available, the only workaround is to
+  [downgrade](https://developer.nvidia.com/cuda-toolkit-archive) to CUDA 8.0.x
+  or disable XLA:GPU.
+
+  TensorFlow will print a warning if you use XLA:GPU with a known-bad version of
+  CUDA; see e00ba24c4038e7644da417ddc639169b6ea59122.
+
 ## Thanks to our Contributors
 
 This release contains contributions from many people at Google, as well as: