tf.raw_ops.TFRecordDatasetV2

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

Compat aliases for migration

tf.compat.v1.raw_ops.TFRecordDatasetV2

tf.raw_ops.TFRecordDatasetV2(
    filenames,
    compression_type,
    buffer_size,
    byte_offsets,
    metadata=&#x27;',
    name=None
)

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).

Returns
A `Tensor` of type `variant`.

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Last updated 2024-04-26 UTC.

Args