Python tensorflow.python.framework.ops 模块，py() 实例源码

我们从Python开源项目中，提取了以下2个代码示例，用于说明如何使用tensorflow.python.framework.ops.py()。

项目：lsdc 作者：febert | 项目源码 | 文件源码

def identity(labeled_tensor, name=None):
  """The identity op.

  See tf.identity.

  Args:
    labeled_tensor: The input tensor.
    name: Optional op name.

  Returns:
    The tensor.
  """
  with ops.name_scope(name, 'lt_identity', [labeled_tensor]) as scope:
    labeled_tensor = convert_to_labeled_tensor(labeled_tensor)
    return LabeledTensor(
        array_ops.identity(labeled_tensor.tensor, name=scope),
        labeled_tensor.axes)


# We don't call this slice because that shadows a built-in. Instead, we alias
# this to lt.slice in __init__.py.

项目：DeepLearning_VirtualReality_BigData_Project 作者：rashmitripathi | 项目源码 | 文件源码

def identity(labeled_tensor, name=None):
  """The identity op.

  See tf.identity.

  Args:
    labeled_tensor: The input tensor.
    name: Optional op name.

  Returns:
    The tensor.
  """
  with ops.name_scope(name, 'lt_identity', [labeled_tensor]) as scope:
    labeled_tensor = convert_to_labeled_tensor(labeled_tensor)
    return LabeledTensor(
        array_ops.identity(
            labeled_tensor.tensor, name=scope),
        labeled_tensor.axes)


# We don't call this slice because that shadows a built-in. Instead, we alias
# this to lt.slice in __init__.py.