tf.raw_ops.RecordInput
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 | |
|---|---|
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. |
© 2020 The TensorFlow Authors. All rights reserved.
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