InitializeTableFromTextFile
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Initializes a table from a text file.
It inserts one key-value pair into the table for each line of the file.
The key and value is extracted from the whole line content, elements from the
split line based on `delimiter` or the line number (starting from zero).
Where to extract the key and value from a line is specified by `key_index` and
`value_index`.
- A value of -1 means use the line number(starting from zero), expects `int64`.
- A value of -2 means use the whole line content, expects `string`.
- A value >= 0 means use the index (starting at zero) of the split line based
on `delimiter`.
Constants
| String |
OP_NAME |
The name of this op, as known by TensorFlow core engine |
Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Constants
public
static
final
String
OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"InitializeTableFromTextFileV2"
Public Methods
Factory method to create a class wrapping a new InitializeTableFromTextFile operation.
Parameters
| scope |
current scope |
| tableHandle |
Handle to a table which will be initialized. |
| filename |
Filename of a vocabulary text file. |
| keyIndex |
Column index in a line to get the table `key` values from. |
| valueIndex |
Column index that represents information of a line to get the table
`value` values from. |
| options |
carries optional attributes values |
Returns
- a new instance of InitializeTableFromTextFile
Parameters
| delimiter |
Delimiter to separate fields in a line.
|
Parameters
| vocabSize |
Number of elements of the file, use -1 if unknown.
|
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Last updated 2021-11-29 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 2021-11-29 UTC."],[],[],null,["# InitializeTableFromTextFile\n\npublic final class **InitializeTableFromTextFile** \nInitializes a table from a text file.\n\n\nIt inserts one key-value pair into the table for each line of the file.\nThe key and value is extracted from the whole line content, elements from the\nsplit line based on \\`delimiter\\` or the line number (starting from zero).\nWhere to extract the key and value from a line is specified by \\`key_index\\` and\n\\`value_index\\`.\n\n\n- A value of -1 means use the line number(starting from zero), expects \\`int64\\`.\n- A value of -2 means use the whole line content, expects \\`string\\`.\n- A value \\\u003e= 0 means use the index (starting at zero) of the split line based\non \\`delimiter\\`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Nested Classes\n\n|-------|---|---|------------------------------------------------------------------------------------------------------------------------------|\n| class | [InitializeTableFromTextFile.Options](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile.Options) || Optional attributes for [InitializeTableFromTextFile](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile) |\n\n### Constants\n\n|--------|------------------------------------------------------------------------------------------|---------------------------------------------------------|\n| String | [OP_NAME](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile#OP_NAME) | The name of this op, as known by TensorFlow core engine |\n\n### Public Methods\n\n|-----------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| static [InitializeTableFromTextFile](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile) | [create](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile#create(org.tensorflow.op.Scope, org.tensorflow.Operand\u003c?\u003e, org.tensorflow.Operand\u003corg.tensorflow.types.TString\u003e, java.lang.Long, java.lang.Long, org.tensorflow.op.core.InitializeTableFromTextFile.Options...))([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e tableHandle, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TString](/jvm/api_docs/java/org/tensorflow/types/TString)\\\u003e filename, Long keyIndex, Long valueIndex, [Options...](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile.Options) options) Factory method to create a class wrapping a new InitializeTableFromTextFile operation. |\n| static [InitializeTableFromTextFile.Options](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile.Options) | [delimiter](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile#delimiter(java.lang.String))(String delimiter) |\n| static [InitializeTableFromTextFile.Options](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile.Options) | [vocabSize](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile#vocabSize(java.lang.Long))(Long vocabSize) |\n\n### Inherited Methods\n\nFrom class [org.tensorflow.op.RawOp](/jvm/api_docs/java/org/tensorflow/op/RawOp) \n\n|----------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| final boolean | [equals](/jvm/api_docs/java/org/tensorflow/op/RawOp#equals(java.lang.Object))(Object obj) |\n| final int | [hashCode](/jvm/api_docs/java/org/tensorflow/op/RawOp#hashCode())() |\n| [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/RawOp#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n| final String | [toString](/jvm/api_docs/java/org/tensorflow/op/RawOp#toString())() |\n\nFrom class java.lang.Object \n\n|------------------|---------------------------|\n| boolean | equals(Object arg0) |\n| final Class\\\u003c?\\\u003e | getClass() |\n| int | hashCode() |\n| final void | notify() |\n| final void | notifyAll() |\n| String | toString() |\n| final void | wait(long arg0, int arg1) |\n| final void | wait(long arg0) |\n| final void | wait() |\n\nFrom interface [org.tensorflow.op.Op](/jvm/api_docs/java/org/tensorflow/op/Op) \n\n|-----------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract [ExecutionEnvironment](/jvm/api_docs/java/org/tensorflow/ExecutionEnvironment) | [env](/jvm/api_docs/java/org/tensorflow/op/Op#env())() Return the execution environment this op was created in. |\n| abstract [Operation](/jvm/api_docs/java/org/tensorflow/Operation) | [op](/jvm/api_docs/java/org/tensorflow/op/Op#op())() Return this unit of computation as a single [Operation](/jvm/api_docs/java/org/tensorflow/Operation). |\n\nConstants\n---------\n\n#### public static final String\n**OP_NAME**\n\nThe name of this op, as known by TensorFlow core engine \nConstant Value: \"InitializeTableFromTextFileV2\"\n\nPublic Methods\n--------------\n\n#### public static [InitializeTableFromTextFile](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile)\n**create**\n([Scope](/jvm/api_docs/java/org/tensorflow/op/Scope) scope, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c?\\\u003e tableHandle, [Operand](/jvm/api_docs/java/org/tensorflow/Operand)\\\u003c[TString](/jvm/api_docs/java/org/tensorflow/types/TString)\\\u003e filename, Long keyIndex, Long valueIndex, [Options...](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile.Options) options)\n\nFactory method to create a class wrapping a new InitializeTableFromTextFile operation. \n\n##### Parameters\n\n| scope | current scope |\n| tableHandle | Handle to a table which will be initialized. |\n| filename | Filename of a vocabulary text file. |\n| keyIndex | Column index in a line to get the table \\`key\\` values from. |\n| valueIndex | Column index that represents information of a line to get the table \\`value\\` values from. |\n| options | carries optional attributes values |\n|-------------|--------------------------------------------------------------------------------------------|\n\n##### Returns\n\n- a new instance of InitializeTableFromTextFile \n\n#### public static [InitializeTableFromTextFile.Options](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile.Options)\n**delimiter**\n(String delimiter)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| delimiter | Delimiter to separate fields in a line. |\n|-----------|-----------------------------------------|\n\n#### public static [InitializeTableFromTextFile.Options](/jvm/api_docs/java/org/tensorflow/op/core/InitializeTableFromTextFile.Options)\n**vocabSize**\n(Long vocabSize)\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| vocabSize | Number of elements of the file, use -1 if unknown. |\n|-----------|----------------------------------------------------|"]]
