[scripts] Log only the length of the large parameters

bob/learn/tensorflow/script/compute_statistics.py

@@ -59,7 +59,8 @@ def compute_statistics(database, biofiles, load_data, multiple_samples,
         groups = ['dev']
         biofiles = database.all_files(groups)
     """
-    log_parameters(logger)
+    log_parameters(logger, ignore=('biofiles',))
+    logger.debug("len(biofiles): %d", len(biofiles))
 
     assert len(biofiles), "biofiles are empty!"
     logger.info('Calculating the mean for %d files', len(biofiles))

bob/learn/tensorflow/script/db_to_tfrecords.py

@@ -170,7 +170,8 @@ def db_to_tfrecords(samples, reader, output, shuffle, allow_failures,
             key = biofile.path
             return (data, label, key)
     """
-    log_parameters(logger)
+    log_parameters(logger, ignore=('samples',))
+    logger.debug("len(samples): %d", len(samples))
 
     if size_estimate:
         output = tempfile.NamedTemporaryFile(suffix='.tfrecords').name

bob/learn/tensorflow/script/predict_bio.py

@@ -191,12 +191,11 @@ def predict_bio(estimator, database, biofiles, bio_predict_input_fn,
                 return {'data': images, 'keys': keys}, labels
             return input_fn
     """
-    log_parameters(logger)
+    log_parameters(logger, ignore=('biofiles',))
+    logger.debug("len(biofiles): %d", len(biofiles))
 
     assert len(biofiles), "biofiles are empty!"
 
-    if array is not None:
-        logger.info("array: %d", array)
     if array > 1:
         start, end = indices(biofiles, array)
         biofiles = biofiles[start:end]