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authorKazuaki Ishizaki <ishizaki@jp.ibm.com>2020-03-25 14:18:03 +0300
committerBenoit Jacob <benoitjacob@google.com>2020-03-30 23:51:27 +0300
commit299a33a5c2affb88c75726c77be6dd4491418b17 (patch)
treee0b29b8c2f7a3596bc37b3b60ff253cc1fa90548
parent4d08486ed0c6ccba0fe0a025c8ac0102e4a1c3a3 (diff)
PR #37852: NFC - minor spelling tweaks in documents
Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/37852 Fix minor spelling issues in `.md` and `.td` files Copybara import of the project: -- 49418bd074e9bbdd44d88e334d04c6039e93ccea by Kazuaki Ishizaki <ishizaki@jp.ibm.com>: minor spelling tweaks COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/tensorflow/pull/37852 from kiszk:spelling_tweaks_mdtd 49418bd074e9bbdd44d88e334d04c6039e93ccea PiperOrigin-RevId: 302860845
-rw-r--r--profiler/README.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/profiler/README.md b/profiler/README.md
index 28cc550..8d79025 100644
--- a/profiler/README.md
+++ b/profiler/README.md
@@ -133,7 +133,7 @@ But also the following advantages:
The philosophy underlying this profiler is that software performance depends on
software engineers profiling often, and a key factor limiting that in practice
is the difficulty or cumbersome aspects of profiling with more serious profilers
-such as Linux's "perf", espectially in embedded/mobile development: multiple
+such as Linux's "perf", especially in embedded/mobile development: multiple
command lines are involved to copy symbol files to devices, retrieve profile
data from the device, etc. In that context, it is useful to make profiling as
easy as benchmarking, even on embedded targets, even if the price to pay for