tf.summary.histogram
Stay organized with collections
Save and categorize content based on your preferences.
Outputs a Summary
protocol buffer with a histogram.
tf.summary.histogram(
name, values, collections=None, family=None
)
Adding a histogram summary makes it possible to visualize your data's
distribution in TensorBoard. You can see a detailed explanation of the
TensorBoard histogram dashboard
here.
The generated
Summary
has one summary value containing a histogram for values
.
This op reports an InvalidArgument
error if any value is not finite.
Args |
name
|
A name for the generated node. Will also serve as a series name in
TensorBoard.
|
values
|
A real numeric Tensor . Any shape. Values to use to
build the histogram.
|
collections
|
Optional list of graph collections keys. The new summary op is
added to these collections. Defaults to [GraphKeys.SUMMARIES] .
|
family
|
Optional; if provided, used as the prefix of the summary tag name,
which controls the tab name used for display on Tensorboard.
|
Returns |
A scalar Tensor of type string . The serialized Summary protocol
buffer.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.summary.histogram\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/summary/histogram) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/summary/summary.py#L143-L181) |\n\nOutputs a `Summary` protocol buffer with a histogram.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.summary.histogram`](/api_docs/python/tf/compat/v1/summary/histogram)\n\n\u003cbr /\u003e\n\n tf.summary.histogram(\n name, values, collections=None, family=None\n )\n\nAdding a histogram summary makes it possible to visualize your data's\ndistribution in TensorBoard. You can see a detailed explanation of the\nTensorBoard histogram dashboard\n[here](https://www.tensorflow.org/get_started/tensorboard_histograms).\n\nThe generated\n[`Summary`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)\nhas one summary value containing a histogram for `values`.\n\nThis op reports an `InvalidArgument` error if any value is not finite.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|---------------------------------------------------------------------------------------------------------------------------------|\n| `name` | A name for the generated node. Will also serve as a series name in TensorBoard. |\n| `values` | A real numeric `Tensor`. Any shape. Values to use to build the histogram. |\n| `collections` | Optional list of graph collections keys. The new summary op is added to these collections. Defaults to `[GraphKeys.SUMMARIES]`. |\n| `family` | Optional; if provided, used as the prefix of the summary tag name, which controls the tab name used for display on Tensorboard. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A scalar `Tensor` of type `string`. The serialized `Summary` protocol buffer. ||\n\n\u003cbr /\u003e"]]