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Update docs for double support on tf.decode_csv
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
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@ -1183,7 +1183,7 @@ def decode_csv(records, record_defaults, field_delim=",",
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Each string is a record/row in the csv and all records should have
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Each string is a record/row in the csv and all records should have
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the same format.
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the same format.
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record_defaults: A list of `Tensor` objects with specific types.
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record_defaults: A list of `Tensor` objects with specific types.
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Acceptable types are `float32`, `int32`, `int64`, `string`.
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Acceptable types are `float32`, `float64`, `int32`, `int64`, `string`.
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One tensor per column of the input record, with either a
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One tensor per column of the input record, with either a
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scalar default value for that column or empty if the column is required.
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scalar default value for that column or empty if the column is required.
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field_delim: An optional `string`. Defaults to `","`.
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field_delim: An optional `string`. Defaults to `","`.
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