tf.raw_ops.InitializeTableFromTextFile | TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.InitializeTableFromTextFile

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Initializes a table from a text file.

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Compat aliases for migration

tf.compat.v1.raw_ops.InitializeTableFromTextFile

tf.raw_ops.InitializeTableFromTextFile(
    table_handle,
    filename,
    key_index,
    value_index,
    vocab_size=-1,
    delimiter='\t',
    offset=0,
    name=None
)

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 andvalue_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.

Args
table_handle	A Tensor of type mutable string. Handle to a table which will be initialized.
filename	A Tensor of type string. Filename of a vocabulary text file.
key_index	An int that is >= -2. Column index in a line to get the table key values from.
value_index	An int that is >= -2. Column index that represents information of a line to get the tablevalue values from.
vocab_size	An optional int that is >= -1. Defaults to -1. Number of elements of the file, use -1 if unknown.
delimiter	An optional string. Defaults to "\t". Delimiter to separate fields in a line.
offset	An optional int. Defaults to 0.
name	A name for the operation (optional).

Returns
The created Operation.

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Last updated 2024-04-26 UTC.