tf.profiler.advise
Stay organized with collections
Save and categorize content based on your preferences.
Auto profile and advise.
tf.profiler.advise(
graph=None, run_meta=None, options=_DEFAULT_ADVISE_OPTIONS
)
Builds profiles and automatically check anomalies of various
aspects. For more details:
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/profiler/README.md
Args |
graph
|
tf.Graph. If None and eager execution is not enabled, use
default graph.
|
run_meta
|
optional tensorflow.RunMetadata proto. It is necessary to
to support run time information profiling, such as time and memory.
|
options
|
see ALL_ADVICE example above. Default checks everything.
|
Returns |
Returns AdviceProto proto
|
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]