tf.train.Int64List
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Used in tf.train.Example
protos. Holds a list of Int64s.
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more details.
tf.compat.v1.train.Int64List
An Example
proto is a representation of the following python type:
Dict [ str ,
Union [ List [ bytes ],
List [ int64 ],
List [ float ]]]
This proto implements the List[int64]
portion.
from google.protobuf import text_format
example = text_format . Parse ( '''
features {
feature {key: "my_feature"
value {int64_list {value: [1, 2, 3, 4]} } }
}''' ,
tf . train . Example ())
example . features . feature [ 'my_feature' ] . int64_list . value
[ 1 , 2 , 3 , 4 ]
Use tf.io.parse_example
to extract tensors from a serialized Example
proto:
tf . io . parse_example (
example . SerializeToString (),
features = { 'my_feature' : tf . io . RaggedFeature ( dtype = tf . int64 )})
{ 'my_feature' : <tf . Tensor : shape = ( 4 ,), dtype = float32 ,
numpy = array ([ 1 , 2 , 3 , 4 ], dtype = int64 )>}
See the tf.train.Example
guide for usage details.
Attributes
value
repeated int64 value
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. Some content is licensed under the numpy license .
Last updated 2024-01-23 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]