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🚑 Fix memory growth amongst multiple GPU #29

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🚑 Fix memory growth amongst multiple GPU #29

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2 changes: 1 addition & 1 deletion app.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@
# load in weights and classes
physical_devices = tf.config.experimental.list_physical_devices('GPU')
if len(physical_devices) > 0:
tf.config.experimental.set_memory_growth(physical_devices[0], True)
tf.config.set_visible_devices(physical_devices[0:1], 'GPU')

if tiny:
yolo = YoloV3Tiny(classes=num_classes)
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2 changes: 1 addition & 1 deletion detect.py
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Expand Up @@ -23,7 +23,7 @@
def main(_argv):
physical_devices = tf.config.experimental.list_physical_devices('GPU')
if len(physical_devices) > 0:
tf.config.experimental.set_memory_growth(physical_devices[0], True)
tf.config.set_visible_devices(physical_devices[0:1], 'GPU')

if FLAGS.tiny:
yolo = YoloV3Tiny(classes=FLAGS.num_classes)
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2 changes: 1 addition & 1 deletion detect_video.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@
def main(_argv):
physical_devices = tf.config.experimental.list_physical_devices('GPU')
if len(physical_devices) > 0:
tf.config.experimental.set_memory_growth(physical_devices[0], True)
tf.config.set_visible_devices(physical_devices[0:1], 'GPU')

if FLAGS.tiny:
yolo = YoloV3Tiny(classes=FLAGS.num_classes)
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4 changes: 2 additions & 2 deletions yolov3_tf2/models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -208,7 +208,7 @@ def YoloV3(size=None, channels=3, anchors=yolo_anchors,
masks=yolo_anchor_masks, classes=80, training=False):
physical_devices = tf.config.experimental.list_physical_devices('GPU')
if len(physical_devices) > 0:
tf.config.experimental.set_memory_growth(physical_devices[0], True)
tf.config.set_visible_devices(physical_devices[0:1], 'GPU')
x = inputs = Input([size, size, channels], name='input')

x_36, x_61, x = Darknet(name='yolo_darknet')(x)
Expand Down Expand Up @@ -242,7 +242,7 @@ def YoloV3Tiny(size=None, channels=3, anchors=yolo_tiny_anchors,
masks=yolo_tiny_anchor_masks, classes=80, training=False):
physical_devices = tf.config.experimental.list_physical_devices('GPU')
if len(physical_devices) > 0:
tf.config.experimental.set_memory_growth(physical_devices[0], True)
tf.config.set_visible_devices(physical_devices[0:1], 'GPU')
x = inputs = Input([size, size, channels], name='input')

x_8, x = DarknetTiny(name='yolo_darknet')(x)
Expand Down