tf.raw_ops.RecordInput

Emits randomized records.

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
)

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).

A Tensor of type string.