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author | Kazuaki Ishizaki <ishizaki@jp.ibm.com> | 2020-03-25 14:18:03 +0300 |
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committer | Benoit Jacob <benoitjacob@google.com> | 2020-03-30 23:51:27 +0300 |
commit | 299a33a5c2affb88c75726c77be6dd4491418b17 (patch) | |
tree | e0b29b8c2f7a3596bc37b3b60ff253cc1fa90548 | |
parent | 4d08486ed0c6ccba0fe0a025c8ac0102e4a1c3a3 (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:
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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.md | 2 |
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 |