Internal change.

PiperOrigin-RevId: 360482921

research/object_detection/model_lib_v2.py

@@ -795,7 +795,8 @@ def eager_eval_loop(
     eval_dataset,
     use_tpu=False,
     postprocess_on_cpu=False,
-    global_step=None):
+    global_step=None,
+    ):
   """Evaluate the model eagerly on the evaluation dataset.
 
   This method will compute the evaluation metrics specified in the configs on
@@ -968,11 +969,10 @@ def eager_eval_loop(
     eval_metrics[loss_key] = tf.reduce_mean(loss_metrics[loss_key])
 
   eval_metrics = {str(k): v for k, v in eval_metrics.items()}
-  tf.logging.info('Eval metrics at step %d', global_step)
+  tf.logging.info('Eval metrics at step %d', global_step.numpy())
   for k in eval_metrics:
     tf.compat.v2.summary.scalar(k, eval_metrics[k], step=global_step)
     tf.logging.info('\t+ %s: %f', k, eval_metrics[k])
-
   return eval_metrics
 
 
@@ -1026,6 +1026,8 @@ def eval_continuously(
   """
   get_configs_from_pipeline_file = MODEL_BUILD_UTIL_MAP[
       'get_configs_from_pipeline_file']
+  create_pipeline_proto_from_configs = MODEL_BUILD_UTIL_MAP[
+      'create_pipeline_proto_from_configs']
   merge_external_params_with_configs = MODEL_BUILD_UTIL_MAP[
       'merge_external_params_with_configs']
 
@@ -1043,6 +1045,10 @@ def eval_continuously(
         'Forced number of epochs for all eval validations to be 1.')
   configs = merge_external_params_with_configs(
       configs, None, kwargs_dict=kwargs)
+  if model_dir:
+    pipeline_config_final = create_pipeline_proto_from_configs(configs)
+    config_util.save_pipeline_config(pipeline_config_final, model_dir)
+
   model_config = configs['model']
   train_input_config = configs['train_input_config']
   eval_config = configs['eval_config']
@@ -1109,4 +1115,5 @@ def eval_continuously(
           eval_input,
           use_tpu=use_tpu,
           postprocess_on_cpu=postprocess_on_cpu,
-          global_step=global_step)
+          global_step=global_step,
+          )