Emits randomized records.
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 | |
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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 | |
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A Tensor of type string . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/RecordInput