From 6369d7c83237fc26d2374a86c18d9dac7abe255a Mon Sep 17 00:00:00 2001
From: Richard Uhler <ruhler@google.com>
Date: Fri, 4 Dec 2020 17:12:14 -0800
Subject: [PATCH] Change "graph-level" to "global" in docs for consistency.
The documentation for tf.random.set_seed sometimes uses "global" and sometimes
uses "graph-level" to refer to the global seed. Update the documentation for
that method to consistency refer to it as the global seed.
PiperOrigin-RevId: 345787276
Change-Id: Ia6157c526b19e68d9e19f2f1af62022ce1f92649
---
tensorflow/python/framework/random_seed.py | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/tensorflow/python/framework/random_seed.py b/tensorflow/python/framework/random_seed.py
index 28d1720428b..f21c5cdb591 100644
--- a/tensorflow/python/framework/random_seed.py
+++ b/tensorflow/python/framework/random_seed.py
@@ -206,12 +206,12 @@ def set_seed(seed):
1. If neither the global seed nor the operation seed is set: A randomly
picked seed is used for this op.
- 2. If the graph-level seed is set, but the operation seed is not:
+ 2. If the global seed is set, but the operation seed is not:
The system deterministically picks an operation seed in conjunction with
- the graph-level seed so that it gets a unique random sequence. Within the
+ the global seed so that it gets a unique random sequence. Within the
same version of tensorflow and user code, this sequence is deterministic.
However across different versions, this sequence might change. If the
- code depends on particular seeds to work, specify both graph-level
+ code depends on particular seeds to work, specify both global
and operation-level seeds explicitly.
3. If the operation seed is set, but the global seed is not set:
A default global seed and the specified operation seed are used to