tf.raw_ops.RecordInput

Emits randomized records.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.RecordInput

tf.raw_ops.RecordInput(
    file_pattern, file_random_seed=301, file_shuffle_shift_ratio=0,
    file_buffer_size=10000, file_parallelism=16, batch_size=32,
    compression_type='', name=None
)

Args
file_pattern	A string. Glob pattern for the data files.
file_random_seed	An optional int. Defaults to 301. Random seeds used to produce randomized records.
file_shuffle_shift_ratio	An optional float. Defaults to 0. Shifts the list of files after the list is randomly shuffled.
file_buffer_size	An optional int. Defaults to 10000. The randomization shuffling buffer.
file_parallelism	An optional int. Defaults to 16. How many sstables are opened and concurrently iterated over.
batch_size	An optional int. Defaults to 32. The batch size.
compression_type	An optional string. Defaults to "". The type of compression for the file. Currently ZLIB and GZIP are supported. Defaults to none.
name	A name for the operation (optional).

Returns
A Tensor of type string.