Add flags info when reporting benchmarks (#7056)

* first version of ctl

* fix indent

* remove monkey patching for core

* add dtype arg

* fix dtype arg

* add logging lib

* remove compat.v1.logging

* add datetime import

* fix FLAGS import

* add constant vals

* move to using as tf import

* move to using as tf import

* remove steps per epoch = 1

* test train and test for one step

* test train and test for one step

* test train and test for one step

* test train and test for the entire dataset

* use an iterator for test

* pass tensors instead of an iterator

* add stats dict

* fix list declaration

* fix list declaration

* fix elapsed time calc

* print lr at epoch boundary alone

* Use regular tf import instead of compat

* remove tensorboard chkpts

* add correct logging import

* add correct logging import

* add benchmark configs

* add tests and configs

* add tests and configs

* add keras flags import

* add keras flags import

* fix eval ds creation cond

* return numpy value of train_loss

* return numpy value of loss and acc values

* add option for full eager mode

* fix lint errors

* add ctl flags

* add ctl import

* add the xla flag

* enable v2 behavior in unit tests

* rename dataset var

* add synthetic dataset without monkey patching

* add ctl local constants

* add ctl local constants

* change to using v2 imports

* change to using v2 imports

* change to using v2 imports

* change to using keras synthetic input fn

* remove enable_eager flag from benchmarks

* remove enable_eager flag from benchmarks

* remove enable_eager flag from benchmarks

* add option for no distrat

* add lambda for flags

* remove no_func benchmarks due to OOM error

* remove README

* remove unused comments

* remove unchanged file

* remove unchanged file

* remove unused drop_remainder_arg

* use keras.common lr function

* address PR comments

* remove reference to deleted file

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* fix lint errors

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* add flags info

official/resnet/ctl/ctl_imagenet_benchmark.py

@@ -26,6 +26,7 @@ from official.resnet import imagenet_main
 from official.resnet.ctl import ctl_imagenet_main
 from official.resnet.ctl import ctl_common
 from official.utils.testing.perfzero_benchmark import PerfZeroBenchmark
+from official.utils.flags import core as flags_core
 
 
 MIN_TOP_1_ACCURACY = 0.76
@@ -96,7 +97,9 @@ class CtlBenchmark(PerfZeroBenchmark):
       metrics.append({'name': 'avg_exp_per_second',
                       'value': stats['avg_exp_per_second']})
 
-    self.report_benchmark(iters=-1, wall_time=wall_time_sec, metrics=metrics)
+    flags_str = flags_core.get_nondefault_flags_as_str()
+    self.report_benchmark(iters=-1, wall_time=wall_time_sec, metrics=metrics,
+                          extras={'flags': flags_str})
 
 
 class Resnet50CtlAccuracy(CtlBenchmark):