本文整理汇总了Python中deployment.model_deploy.deploy方法的典型用法代码示例。如果您正苦于以下问题：Python model_deploy.deploy方法的具体用法？Python model_deploy.deploy怎么用？Python model_deploy.deploy使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类deployment.model_deploy的用法示例。
在下文中一共展示了model_deploy.deploy方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testNoSummariesOnGPU
# 需要导入模块: from deployment import model_deploy [as 别名]
# 或者: from deployment.model_deploy import deploy [as 别名]
def testNoSummariesOnGPU(self):
with tf.Graph().as_default():
deploy_config = model_deploy.DeploymentConfig(num_clones=2)
# clone function creates a fully_connected layer with a regularizer loss.
def ModelFn():
inputs = tf.constant(1.0, shape=(10, 20), dtype=tf.float32)
reg = tf.contrib.layers.l2_regularizer(0.001)
tf.contrib.layers.fully_connected(inputs, 30, weights_regularizer=reg)
model = model_deploy.deploy(
deploy_config, ModelFn,
optimizer=tf.train.GradientDescentOptimizer(1.0))
# The model summary op should have a few summary inputs and all of them
# should be on the CPU.
self.assertTrue(model.summary_op.op.inputs)
for inp in model.summary_op.op.inputs:
self.assertEqual('/device:CPU:0', inp.device) 示例2: testNoSummariesOnGPUForEvals
# 需要导入模块: from deployment import model_deploy [as 别名]
# 或者: from deployment.model_deploy import deploy [as 别名]
def testNoSummariesOnGPUForEvals(self):
with tf.Graph().as_default():
deploy_config = model_deploy.DeploymentConfig(num_clones=2)
# clone function creates a fully_connected layer with a regularizer loss.
def ModelFn():
inputs = tf.constant(1.0, shape=(10, 20), dtype=tf.float32)
reg = tf.contrib.layers.l2_regularizer(0.001)
tf.contrib.layers.fully_connected(inputs, 30, weights_regularizer=reg)
# No optimizer here, it's an eval.
model = model_deploy.deploy(deploy_config, ModelFn)
# The model summary op should have a few summary inputs and all of them
# should be on the CPU.
self.assertTrue(model.summary_op.op.inputs)
for inp in model.summary_op.op.inputs:
self.assertEqual('/device:CPU:0', inp.device)