bring NCF to l2 logging compliance (tensorflow#5642)

jcsome · Oct 30, 2018 · 82e783e · 82e783e
1 parent 8a15a4d
commit 82e783e
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diff --git a/official/recommendation/data_preprocessing.py b/official/recommendation/data_preprocessing.py
@@ -507,6 +507,7 @@ def cleanup():
   # 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
@@ -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