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.
|
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Last updated 2021-02-18 UTC.
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