Convert CSV records to tensors. Each column maps to one tensor.
tf.raw_ops.DecodeCSV(
    records, record_defaults, field_delim=',', use_quote_delim=True,
    na_value='', select_cols=[], name=None
)
RFC 4180 format is expected for the CSV records. (https://tools.ietf.org/html/rfc4180) Note that we allow leading and trailing spaces with int or float field.
Args | |
|---|---|
records
 | 
A Tensor of type string.
Each string is a record/row in the csv and all records should have
the same format.
 | 
record_defaults
 | 
A list of Tensor objects with types from: float32, float64, int32, int64, string.
One tensor per column of the input record, with either a
scalar default value for that column or an empty vector if the column is
required.
 | 
field_delim
 | 
An optional string. Defaults to ",".
char delimiter to separate fields in a record.
 | 
use_quote_delim
 | 
An optional bool. Defaults to True.
If false, treats double quotation marks as regular
characters inside of the string fields (ignoring RFC 4180, Section 2,
Bullet 5).
 | 
na_value
 | 
An optional string. Defaults to "".
Additional string to recognize as NA/NaN.
 | 
select_cols
 | 
An optional list of ints. Defaults to [].
 | 
name
 | 
A name for the operation (optional). | 
Returns | |
|---|---|
A list of Tensor objects. Has the same type as record_defaults.
 |