tf.contrib.quantize.experimental_create_eval_graph
Stay organized with collections
Save and categorize content based on your preferences.
Rewrites an eval input_graph in place for simulated quantization.
tf.contrib.quantize.experimental_create_eval_graph(
input_graph=None, weight_bits=8, activation_bits=8, symmetric=False,
quant_delay=None, scope=None
)
Variables added by the rewrite get added to the global variables collection.
This function has additional experimental options not (yet) available to
create_eval_graph. The resulting behavior may be undefined.
The graph has fake quantization ops inserted to simulate the error
introduced by quantization. Since the graph is transformed in place,
the expected behavior of previously held references to nodes and tensors may
change.
Args |
input_graph
|
The tf.Graph to be transformed, if None then defaults to the
default graph.
|
weight_bits
|
Number of bits to use for quantizing weights.
|
activation_bits
|
Number of bits to use for quantizing activations.
|
symmetric
|
If true, use symmetric quantization limits instead of training
the minimum and maximum of each quantization range separately.
|
quant_delay
|
Number of steps after which weights and activations are
quantized during eval.
|
scope
|
The scope to be transformed. If it's not None, only the ops which
are in this scope will be transformed.
|
Raises |
ValueError
|
If elements contains an element that isn't a tf.Tensor or
tf.Operation.
|
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.
[{
"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"label":"Out of date"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"
}]
{"lastModified": "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."],[],[]]