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added '--allow-growth' flag #9779

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added '--allow-growth' flag #9779

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added '--allow-growth' flag 
added '--allow-growth' flag to choose to limit GPU growth. This solves `failed to create cublas handle: CUBLAS_STATUS_NOT_INITIALIZED` issue if caused due to GPU memory limit.  #3502
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@uniquetrij
uniquetrij authored Mar 5, 2021
commit fad33a4ec17b3796987b7d7ad5b7f1a9956fecd4
14 changes: 14 additions & 0 deletions research/object_detection/model_main_tf2.py
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Expand Up @@ -68,13 +68,27 @@
('Whether or not to record summaries during'
' training.'))

flags.DEFINE_boolean('allow_growth', False,
('Whether or not to limit gpu memory growth.'))

FLAGS = flags.FLAGS


def main(unused_argv):
flags.mark_flag_as_required('model_dir')
flags.mark_flag_as_required('pipeline_config_path')
tf.config.set_soft_device_placement(True)

if FLAGS.allow_growth:
gpus = tf.config.list_physical_devices('GPU')
if gpus:
try:
# Currently, memory growth needs to be the same across GPUs
for gpu in gpus:
tf.config.experimental.set_memory_growth(gpu, True)
except RuntimeError as e:
# Memory growth must be set before GPUs have been initialized
pass

if FLAGS.checkpoint_dir:
model_lib_v2.eval_continuously(
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