# tf.raw_ops.TFRecordDatasetV2

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Creates a dataset that emits the records from one or more TFRecord files.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.TFRecordDatasetV2`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/TFRecordDatasetV2)

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    tf.raw_ops.TFRecordDatasetV2(
        filenames,
        compression_type,
        buffer_size,
        byte_offsets,
        metadata='',
        name=None
    )

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| ## Args ||
|---|---|
| `filenames` | A `Tensor` of type `string`. A scalar or vector containing the name(s) of the file(s) to be read. |
| `compression_type` | A `Tensor` of type `string`. A scalar containing either (i) the empty string (no compression), (ii) "ZLIB", or (iii) "GZIP". |
| `buffer_size` | A `Tensor` of type `int64`. A scalar representing the number of bytes to buffer. A value of 0 means no buffering will be performed. |
| `byte_offsets` | A `Tensor` of type `int64`. A scalar or vector containing the number of bytes for each file that will be skipped prior to reading. |
| `metadata` | An optional `string`. Defaults to `""`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `variant`. ||

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