def testGpuInvalidConfig(self):
gpus = config.list_physical_devices('GPU')
self.assertNotEqual(len(gpus), 0)
for gpu in gpus:
config.set_memory_growth(gpu, True)
c = context.context().config
self.assertTrue(c.gpu_options.allow_growth)
with self.assertRaisesRegexp(ValueError, 'memory limit'):
config.set_virtual_device_configuration(gpus[-1], [
context.VirtualDeviceConfiguration(),
context.VirtualDeviceConfiguration()
])
self.assertIsNone(config.get_virtual_device_configuration(gpus[-1]))
config.set_virtual_device_configuration(gpus[-1], [
context.VirtualDeviceConfiguration(memory_limit=10),
context.VirtualDeviceConfiguration(memory_limit=10)
])
c = context.context().config
self.assertFalse(c.gpu_options.allow_growth)
with self.assertRaisesRegexp(ValueError, 'virtual devices'):
config.set_memory_growth(gpus[-1], False)
def testGpuInvalidConfig(self):
gpus = config.list_physical_devices('GPU')
self.assertNotEqual(len(gpus), 0)
for gpu in gpus:
config.set_memory_growth(gpu, True)
c = context.context().config
self.assertTrue(c.gpu_options.allow_growth)
with self.assertRaisesRegexp(ValueError, 'memory limit'):
config.set_virtual_device_configuration(gpus[-1], [
context.VirtualDeviceConfiguration(),
context.VirtualDeviceConfiguration()
])
self.assertIsNone(config.get_virtual_device_configuration(gpus[-1]))
config.set_virtual_device_configuration(gpus[-1], [
context.VirtualDeviceConfiguration(memory_limit=10),
context.VirtualDeviceConfiguration(memory_limit=10)
])
c = context.context().config
self.assertFalse(c.gpu_options.allow_growth)
with self.assertRaisesRegexp(ValueError, 'virtual devices'):
config.set_memory_growth(gpus[-1], False)
def setUp(self):
super(trt_test.TfTrtIntegrationTestBase, self).setUp() # pylint: disable=bad-super-call
os.environ["TF_TRT_ALLOW_ENGINE_NATIVE_SEGMENT_EXECUTION"] = "True"
gpus = config.list_physical_devices("GPU")
logging.info("Found the following GPUs:")
for gpu in gpus:
logging.info(f"\t- {gpu}")
config.set_memory_growth(gpu, True)
def setUp(self):
super().setUp()
os.environ["TF_TRT_ALLOW_ENGINE_NATIVE_SEGMENT_EXECUTION"] = "True"
gpus = config.list_physical_devices("GPU")
logging.info("Found the following GPUs:")
for gpu in gpus:
logging.info(f"\t- {gpu}")
config.set_memory_growth(gpu, True)
def testGpuInvalidConfig(self):
gpus = config.list_physical_devices('GPU')
self.assertNotEqual(len(gpus), 0)
if len(gpus) > 1:
# Assert if other GPUs were not configured
config.set_memory_growth(gpus[0], True)
with self.assertRaisesRegex(ValueError, 'cannot differ'):
c = context.context().config
# If we limit visibility to GPU 0, growth is fine
config.set_visible_devices(gpus[0], 'GPU')
c = context.context().config
self.assertTrue(c.gpu_options.allow_growth)
# Default setting for second GPU is False and works if we set visibility
config.set_visible_devices(gpus[1], 'GPU')
c = context.context().config
self.assertFalse(c.gpu_options.allow_growth)
# Growth now fails because all the GPUs are visible and not the same
config.set_visible_devices(gpus, 'GPU')
with self.assertRaisesRegex(ValueError, 'cannot differ'):
c = context.context().config
for gpu in gpus:
config.set_memory_growth(gpu, True)
c = context.context().config
self.assertTrue(c.gpu_options.allow_growth)
with self.assertRaisesRegex(ValueError, 'memory limit'):
config.set_logical_device_configuration(gpus[-1], [
context.LogicalDeviceConfiguration(),
context.LogicalDeviceConfiguration()
])
self.assertIsNone(config.get_logical_device_configuration(gpus[-1]))
config.set_logical_device_configuration(gpus[-1], [
context.LogicalDeviceConfiguration(memory_limit=10),
context.LogicalDeviceConfiguration(memory_limit=10)
])
c = context.context().config
self.assertFalse(c.gpu_options.allow_growth)
with self.assertRaisesRegex(ValueError, 'virtual devices'):
config.set_memory_growth(gpus[-1], False)
def testGpuGrowth(self):
gpus = config.list_physical_devices('GPU')
self.assertNotEqual(len(gpus), 0)
self.assertIsNone(config.get_memory_growth(gpus[-1]))
for gpu in gpus:
config.set_memory_growth(gpu, True)
c = context.context().config
self.assertTrue(c.gpu_options.allow_growth)
logical_gpus = config.list_logical_devices('GPU')
self.assertTrue(len(logical_gpus), len(gpus))
# Modifying the GPU configuration is not supported
with self.assertRaisesRegex(RuntimeError, 'cannot be modified'):
for gpu in gpus:
config.set_memory_growth(gpu, False)
# Setting the same GPU configuration is fine
for gpu in gpus:
config.set_memory_growth(gpu, True)
from keras.backend import tensorflow_backend as K
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
K.set_session(tf.Session(config=config))
#출처: https://mellowlee.tistory.com/entry/Python-Keras-InternalError-GPU-sync-failed [잠토의 잠망경]
old_v = tf.compat.v1.logging.get_verbosity()
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
from tensorflow.python.framework.config import set_memory_growth
tf.compat.v1.disable_v2_behavior()
gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
try:
for gpu in gpus:
set_memory_growth(gpu, True)
except RuntimeError as e:
print(e)
class SRGAN():
def __init__(self):
# Input shape
self.scale_factor = 2 # 2x
self.channels = 3
self.hr_height = 256 # High resolution height
self.hr_width = 256 # High resolution width
self.hr_shape = (self.hr_height, self.hr_width, self.channels)
self.lr_height = int(self.hr_height /
self.scale_factor) # Low resolution height
self.lr_width = int(self.hr_width /