Summary Operations
[TOC]
This module contains ops for generating summaries.
Summary Ops
tf.summary.tensor_summary(display_name, tensor, description='', labels=None, collections=None, name=None)
Outputs a Summary protocol buffer with a serialized tensor.proto.
The generated
Summary
has one summary value containing the input tensor.
Args:
display_name: A name to associate with the data series. Will be used to organize output data and as a name in visualizers.tensor: A tensor of any type and shape to serialize.description: An optional long description of the data being output.labels: a list of strings used to specify how the data can be interpreted, for example:'encoding:image/jpg'for a string tensor containing jpg images'encoding:proto/X/Y/foo.proto'for a string tensor containing Foos'group:$groupName/$roleInGroup'for a tensor that is related to other tensors that are all in a group. (e.g. bounding boxes and images)
collections: Optional list of graph collections keys. The new summary op is added to these collections. Defaults to[GraphKeys.SUMMARIES].name: An optional name for the generated node (optional).
Returns:
A scalar Tensor of type string. The serialized Summary protocol
buffer.
tf.summary.scalar(display_name, tensor, description='', labels=None, collections=None, name=None)
Outputs a Summary protocol buffer containing a single scalar value.
The generated Summary has a Tensor.proto containing the input Tensor.
Args:
display_name: A name to associate with the data series. Will be used to organize output data and as a name in visualizers.tensor: A tensor containing a single floating point or integer value.description: An optional long description of the data being output.labels: a list of strings used to attach metadata.collections: Optional list of graph collections keys. The new summary op is added to these collections. Defaults to[GraphKeys.SUMMARIES].name: An optional name for the generated node (optional).
Returns:
A scalar Tensor of type string. Which contains a Summary protobuf.
Raises:
ValueError: If tensor has the wrong shape or type.