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()。
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.
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.
