diff --git a/official/recommendation/data_preprocessing.py b/official/recommendation/data_preprocessing.py
index 74b5953844a520ce5adaa6235fc00a0973e47328..e2aa96109d4516bc2c9162d62f642b6d3ec1e08b 100644
--- a/official/recommendation/data_preprocessing.py
+++ b/official/recommendation/data_preprocessing.py
@@ -507,6 +507,7 @@ def instantiate_pipeline(dataset, data_dir, batch_size, eval_batch_size,
   # will then enter a loop waiting for the flagfile to be written. Once we see
   # that the async process has signaled that it is alive, we clear the system
   # caches and begin the run.
+  mlperf_helper.ncf_print(key=mlperf_helper.TAGS.RUN_CLEAR_CACHES)
   mlperf_helper.clear_system_caches()
   mlperf_helper.ncf_print(key=mlperf_helper.TAGS.RUN_START)
   write_flagfile(flags_, ncf_dataset)
diff --git a/official/requirements.txt b/official/requirements.txt
index 832ea40a0aea68fd0b125557af464ecd325135a7..4a47dac0211f67e57a9cfe60e1b6589df1218aa3 100644
--- a/official/requirements.txt
+++ b/official/requirements.txt
@@ -1,7 +1,7 @@
 google-api-python-client>=1.6.7
 google-cloud-bigquery>=0.31.0
 kaggle>=1.3.9
-mlperf_compliance==0.0.8
+mlperf_compliance==0.0.10
 numpy
 oauth2client>=4.1.2
 pandas