From 9bed93cf448318bc8084fca3799fb002488c91cc Mon Sep 17 00:00:00 2001
From: Arjun Suresh <arjunsuresh1987@gmail.com>
Date: Mon, 7 Aug 2023 16:16:17 +0100
Subject: [PATCH] Update README_a100.md

---
 docs/mlperf/inference/README_a100.md | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/docs/mlperf/inference/README_a100.md b/docs/mlperf/inference/README_a100.md
index 796fe3db62..277220ce27 100644
--- a/docs/mlperf/inference/README_a100.md
+++ b/docs/mlperf/inference/README_a100.md
@@ -7,7 +7,7 @@
 cmr "generate-run-cmds inference _performance-only"  \
 --model=bert-99 --implementation=nvidia-original \
 --device=cuda --backend=tensorrt --category=edge \
---division=open --quiet --scenario=Offline --execution_mode=fast \
+--division=open --quiet --scenario=Offline --execution-mode=fast \
 --target_qps=3560 --rerun --gpu_name=a100 \
 --adr.nvidia-harness.tags=_sxm \
 --results_dir=$HOME/results_dir
@@ -20,7 +20,7 @@ This will do performance+accuracy+compliance for singlestream+offline scenarios.
 cmr "generate-run-cmds inference _submission _all-scenarios"  \
 --model=bert-99 --implementation=nvidia-original \
 --device=cuda --backend=tensorrt --category=edge \
---division=open --quiet --execution_mode=valid \
+--division=open --quiet --execution-mode=valid \
 --target_qps=3560 --rerun --gpu_name=a100 \
 --adr.nvidia-harness.tags=_sxm \
 --results_dir=$HOME/results_dir
@@ -39,7 +39,7 @@ cmr "get dataset original imagenet _full" --input="<Path to imagenet dir contain
 cmr "generate-run-cmds inference _performance-only"  \
 --model=resnet50 --implementation=nvidia-original \
 --device=cuda --backend=tensorrt --category=edge \
---division=open --quiet --scenario=Offline --execution_mode=fast \
+--division=open --quiet --scenario=Offline --execution-mode=fast \
 --target_qps=43000 --rerun --gpu_name=a100 \
 --adr.nvidia-harness.tags=_sxm \
 --results_dir=$HOME/results_dir
@@ -52,7 +52,7 @@ This will do performance+accuracy+compliance for singlestream+offline scenarios.
 cmr "generate-run-cmds inference _submission _all-scenarios"  \
 --model=resnet50 --implementation=nvidia-original \
 --device=cuda --backend=tensorrt --category=edge \
---division=open --quiet --execution_mode=valid \
+--division=open --quiet --execution-mode=valid \
 --target_qps=43000 --rerun --gpu_name=a100 \
 --adr.nvidia-harness.tags=_sxm \
 --results_dir=$HOME/results_dir
@@ -65,7 +65,7 @@ cmr "generate-run-cmds inference _submission _all-scenarios"  \
 cmr "generate-run-cmds inference _performance-only"  \
 --model=retinanet --implementation=nvidia-original \
 --device=cuda --backend=tensorrt --category=edge \
---division=open --quiet --scenario=Offline --execution_mode=fast \
+--division=open --quiet --scenario=Offline --execution-mode=fast \
 --target_qps=715 --rerun --gpu_name=a100 \
 --adr.nvidia-harness.tags=_sxm \
 --results_dir=$HOME/results_dir
@@ -78,7 +78,7 @@ This will do performance+accuracy+compliance for singlestream+offline scenarios.
 cmr "generate-run-cmds inference _submission _all-scenarios"  \
 --model=retinanet --implementation=nvidia-original \
 --device=cuda --backend=tensorrt --category=edge \
---division=open --quiet --execution_mode=valid \
+--division=open --quiet --execution-mode=valid \
 --target_qps=715 --rerun --gpu_name=a100 \
 --adr.nvidia-harness.tags=_sxm \
 --results_dir=$HOME/results_dir
@@ -92,7 +92,7 @@ cmr "generate-run-cmds inference _submission _all-scenarios"  \
 cmr "generate-run-cmds inference _performance-only"  \
 --model=rnnt --implementation=nvidia-original \
 --device=cuda --backend=tensorrt --category=edge \
---division=open --quiet --scenario=Offline --execution_mode=fast \
+--division=open --quiet --scenario=Offline --execution-mode=fast \
 --target_qps=14000 --rerun --gpu_name=a100 \
 --adr.nvidia-harness.tags=_sxm \
 --results_dir=$HOME/results_dir
@@ -105,7 +105,7 @@ This will do performance+accuracy+compliance for singlestream+offline scenarios.
 cmr "generate-run-cmds inference _submission _all-scenarios"  \
 --model=rnnt --implementation=nvidia-original \
 --device=cuda --backend=tensorrt --category=edge \
---division=open --quiet --execution_mode=valid \
+--division=open --quiet --execution-mode=valid \
 --target_qps=14000 --rerun --gpu_name=a100 \
 --adr.nvidia-harness.tags=_sxm \
 --results_dir=$HOME/results_dir
@@ -119,7 +119,7 @@ cmr "generate-run-cmds inference _submission _all-scenarios"  \
 cmr "generate-run-cmds inference _performance-only"  \
 --model=3d-unet-99 --implementation=nvidia-original \
 --device=cuda --backend=tensorrt --category=edge \
---division=open --quiet --scenario=Offline --execution_mode=fast \
+--division=open --quiet --scenario=Offline --execution-mode=fast \
 --target_qps=3.7 --rerun --gpu_name=a100 \
 --adr.nvidia-harness.tags=_sxm \
 --results_dir=$HOME/results_dir
@@ -132,7 +132,7 @@ This will do performance+accuracy+compliance for singlestream+offline scenarios.
 cmr "generate-run-cmds inference _submission _all-scenarios"  \
 --model=3d-unet-99 --implementation=nvidia-original \
 --device=cuda --backend=tensorrt --category=edge \
---division=open --quiet --execution_mode=valid \
+--division=open --quiet --execution-mode=valid \
 --target_qps=3.7 --rerun --gpu_name=a100 \
 --adr.nvidia-harness.tags=_sxm \
 --results_dir=$HOME/results_dir