tf.compat.v1.profiler.advise
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Auto profile and advise.
tf.compat.v1.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
|
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Last updated 2023-03-17 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
{
"last_modified": "Last updated 2023-03-17 UTC.",
"state": ""
}