From 818c0112bf4282c5641883ac46e1307b3bf2dba5 Mon Sep 17 00:00:00 2001
From: Abdul Baseer Khan
 <54206941+AbdulBaseerMohammedKhan@users.noreply.github.com>
Date: Thu, 4 Jun 2020 06:34:41 +0530
Subject: [PATCH] Update RELEASE.md

---
 RELEASE.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/RELEASE.md b/RELEASE.md
index 6f3aa94c203..7fc620bc18a 100644
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -164,7 +164,7 @@ Coinciding with this change, new releases of [TensorFlow's Docker images](https:
   * `saved_model_cli aot_compile_cpu` allows you to compile saved models to XLA header+object files and include them in your C++ programs.
   * Enable `Igamma`, `Igammac` for XLA.
 * Deterministic Op Functionality:
-  * XLA reduction emitter is deterministic when the environment variable `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends deterministic `tf.nn.bias_add` back-prop functionality (and therefore also deterministic back-prop of bias-addition in Keras layers) to include when XLA JIT complilation is enabled.
+  * XLA reduction emitter is deterministic when the environment variable `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends deterministic `tf.nn.bias_add` back-prop functionality (and therefore also deterministic back-prop of bias-addition in Keras layers) to include when XLA JIT compilation is enabled.
   * Fix problem, when running on a CUDA GPU and when either environment variable `TF_DETERMINSTIC_OPS` or environment variable `TF_CUDNN_DETERMINISTIC` is set to "true" or "1", in which some layer configurations led to an exception with the message "No algorithm worked!"
 * Tracing and Debugging:
   * Add source, destination name to `_send` traceme to allow easier debugging.