本文整理匯總了Python中tensorflow.python.eager.context.num_gpus方法的典型用法代碼示例。如果您正苦於以下問題：Python context.num_gpus方法的具體用法？Python context.num_gpus怎麽用？Python context.num_gpus使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.python.eager.context的用法示例。
在下文中一共展示了context.num_gpus方法的15個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_end_to_end_2_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_2_gpu(self):
"""Test Keras model with 2 GPUs."""
num_gpus = '2'
if context.num_gpus() < 2:
num_gpus = '0'
extra_flags = [
'-num_gpus', num_gpus,
'-distribution_strategy', 'default',
'-model_dir', 'ctl_imagenet_2_gpu',
'-data_format', 'channels_last',
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=ctl_imagenet_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 開發者ID:ShivangShekhar，項目名稱:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代碼行數:21，代碼來源:ctl_imagenet_test.py
示例2: test_end_to_end_graph_1_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_graph_1_gpu(self):
"""Test Keras model in legacy graph mode with 1 GPU."""
if context.num_gpus() < 1:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(1, context.num_gpus()))
extra_flags = [
"-num_gpus", "1",
"-noenable_eager",
"-distribution_strategy", "mirrored",
"-model_dir", "keras_cifar_graph_1_gpu",
"-data_format", "channels_last",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_cifar_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 示例3: test_end_to_end_1_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_1_gpu(self):
"""Test Keras model with 1 GPU."""
config = keras_utils.get_config_proto_v1()
tf.compat.v1.enable_eager_execution(config=config)
if context.num_gpus() < 1:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(1, context.num_gpus()))
extra_flags = [
"-num_gpus", "1",
"-distribution_strategy", "default",
"-model_dir", "keras_cifar_1_gpu",
"-data_format", "channels_last",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_cifar_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 開發者ID:ShivangShekhar，項目名稱:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代碼行數:25，代碼來源:resnet_cifar_test.py
示例4: test_end_to_end_graph_1_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_graph_1_gpu(self):
"""Test Keras model in legacy graph mode with 1 GPU."""
if context.num_gpus() < 1:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(1, context.num_gpus()))
extra_flags = [
"-num_gpus", "1",
"-noenable_eager",
"-distribution_strategy", "default",
"-model_dir", "keras_cifar_graph_1_gpu",
"-data_format", "channels_last",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_cifar_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 開發者ID:ShivangShekhar，項目名稱:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代碼行數:23，代碼來源:resnet_cifar_test.py
示例5: test_end_to_end_2_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_2_gpu(self):
"""Test Keras model with 2 GPUs."""
config = keras_utils.get_config_proto_v1()
tf.compat.v1.enable_eager_execution(config=config)
if context.num_gpus() < 2:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(2, context.num_gpus()))
extra_flags = [
"-num_gpus", "2",
"-distribution_strategy", "default",
"-model_dir", "keras_cifar_2_gpu",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_cifar_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 開發者ID:ShivangShekhar，項目名稱:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代碼行數:24，代碼來源:resnet_cifar_test.py
示例6: test_end_to_end_graph_2_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_graph_2_gpu(self):
"""Test Keras model in legacy graph mode with 2 GPUs."""
if context.num_gpus() < 2:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(2, context.num_gpus()))
extra_flags = [
"-num_gpus", "2",
"-enable_eager", "false",
"-distribution_strategy", "default",
"-model_dir", "keras_cifar_graph_2_gpu",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_cifar_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 開發者ID:ShivangShekhar，項目名稱:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代碼行數:22，代碼來源:resnet_cifar_test.py
示例7: test_end_to_end_1_gpu_fp16
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_1_gpu_fp16(self):
"""Test Keras model with 1 GPU and fp16."""
config = keras_utils.get_config_proto_v1()
tf.compat.v1.enable_eager_execution(config=config)
if context.num_gpus() < 1:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available"
.format(1, context.num_gpus()))
extra_flags = [
"-num_gpus", "1",
"-dtype", "fp16",
"-distribution_strategy", "default",
"-data_format", "channels_last",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_imagenet_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 開發者ID:ShivangShekhar，項目名稱:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代碼行數:25，代碼來源:resnet_imagenet_test.py
示例8: test_end_to_end_2_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_2_gpu(self):
"""Test Keras model with 2 GPUs."""
config = keras_utils.get_config_proto_v1()
tf.compat.v1.enable_eager_execution(config=config)
if context.num_gpus() < 2:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(2, context.num_gpus()))
extra_flags = [
"-num_gpus", "2",
"-distribution_strategy", "default",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_imagenet_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 開發者ID:ShivangShekhar，項目名稱:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代碼行數:23，代碼來源:resnet_imagenet_test.py
示例9: test_end_to_end_xla_2_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_xla_2_gpu(self):
"""Test Keras model with XLA and 2 GPUs."""
config = keras_utils.get_config_proto_v1()
tf.compat.v1.enable_eager_execution(config=config)
if context.num_gpus() < 2:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(2, context.num_gpus()))
extra_flags = [
"-num_gpus", "2",
"-enable_xla", "true",
"-distribution_strategy", "default",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_imagenet_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 開發者ID:ShivangShekhar，項目名稱:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代碼行數:24，代碼來源:resnet_imagenet_test.py
示例10: test_end_to_end_2_gpu_fp16
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_2_gpu_fp16(self):
"""Test Keras model with 2 GPUs and fp16."""
config = keras_utils.get_config_proto_v1()
tf.compat.v1.enable_eager_execution(config=config)
if context.num_gpus() < 2:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(2, context.num_gpus()))
extra_flags = [
"-num_gpus", "2",
"-dtype", "fp16",
"-distribution_strategy", "default",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_imagenet_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 開發者ID:ShivangShekhar，項目名稱:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代碼行數:24，代碼來源:resnet_imagenet_test.py
示例11: test_end_to_end_xla_2_gpu_fp16
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_xla_2_gpu_fp16(self):
"""Test Keras model with XLA, 2 GPUs and fp16."""
config = keras_utils.get_config_proto_v1()
tf.compat.v1.enable_eager_execution(config=config)
if context.num_gpus() < 2:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(2, context.num_gpus()))
extra_flags = [
"-num_gpus", "2",
"-dtype", "fp16",
"-enable_xla", "true",
"-distribution_strategy", "default",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_imagenet_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 開發者ID:ShivangShekhar，項目名稱:Live-feed-object-device-identification-using-Tensorflow-and-OpenCV，代碼行數:25，代碼來源:resnet_imagenet_test.py
示例12: test_end_to_end_1_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_1_gpu(self):
"""Test Keras model with 1 GPU."""
if context.num_gpus() < 1:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(1, context.num_gpus()))
extra_flags = [
"-num_gpus", "1",
"-distribution_strategy", "mirrored",
"-model_dir", "keras_cifar_1_gpu",
"-data_format", "channels_last",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_cifar_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 示例13: test_end_to_end_2_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_2_gpu(self):
"""Test Keras model with 2 GPUs."""
if context.num_gpus() < 2:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(2, context.num_gpus()))
extra_flags = [
"-num_gpus", "2",
"-distribution_strategy", "mirrored",
"-model_dir", "keras_cifar_2_gpu",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_cifar_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 示例14: test_end_to_end_graph_2_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_graph_2_gpu(self):
"""Test Keras model in legacy graph mode with 2 GPUs."""
if context.num_gpus() < 2:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(2, context.num_gpus()))
extra_flags = [
"-num_gpus", "2",
"-enable_eager", "false",
"-distribution_strategy", "mirrored",
"-model_dir", "keras_cifar_graph_2_gpu",
]
extra_flags = extra_flags + self._extra_flags
integration.run_synthetic(
main=resnet_cifar_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
) 示例15: test_end_to_end_1_gpu
# 需要導入模塊: from tensorflow.python.eager import context [as 別名]
# 或者: from tensorflow.python.eager.context import num_gpus [as 別名]
def test_end_to_end_1_gpu(self, flags_key):
"""Test Keras model with 1 GPU."""
if context.num_gpus() < 1:
self.skipTest(
"{} GPUs are not available for this test. {} GPUs are available".
format(1, context.num_gpus()))
extra_flags = [
"-num_gpus", "1",
"-distribution_strategy", "mirrored",
"-enable_checkpoint_and_export", "1",
]
extra_flags = extra_flags + self.get_extra_flags_dict(flags_key)
integration.run_synthetic(
main=resnet_imagenet_main.run,
tmp_root=self.get_temp_dir(),
extra_flags=extra_flags
)