tf.ReaderBase

Base class for different Reader types, that produce a record every step.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.ReaderBase

tf.ReaderBase(
    reader_ref, supports_serialize=False
)

Conceptually, Readers convert string 'work units' into records (key, value pairs). Typically the 'work units' are filenames and the records are extracted from the contents of those files. We want a single record produced per step, but a work unit can correspond to many records.

Therefore we introduce some decoupling using a queue. The queue contains the work units and the Reader dequeues from the queue when it is asked to produce a record (via Read()) but it has finished the last work unit.

Args
reader_ref	The operation that implements the reader.
supports_serialize	True if the reader implementation can serialize its state.

Raises
RuntimeError	If eager execution is enabled.

Eager Compatibility

Readers are not compatible with eager execution. Instead, please use tf.data to get data into your model.

Attributes
reader_ref	Op that implements the reader.
supports_serialize	Whether the Reader implementation can serialize its state.

Methods

num_records_produced

View source

num_records_produced(
    name=None
)

Returns the number of records this reader has produced.

This is the same as the number of Read executions that have succeeded.

Args
name	A name for the operation (optional).

Returns
An int64 Tensor.

num_work_units_completed

View source

num_work_units_completed(
    name=None
)

Returns the number of work units this reader has finished processing.

Args
name	A name for the operation (optional).

Returns
An int64 Tensor.

read

View source

read(
    queue, name=None
)

Returns the next record (key, value) pair produced by a reader.

Will dequeue a work unit from queue if necessary (e.g. when the Reader needs to start reading from a new file since it has finished with the previous file).

Args
queue	A Queue or a mutable string Tensor representing a handle to a Queue, with string work items.
name	A name for the operation (optional).

Returns
A tuple of Tensors (key, value).
key	A string scalar Tensor.
value	A string scalar Tensor.

read_up_to

View source

read_up_to(
    queue, num_records, name=None
)

Returns up to num_records (key, value) pairs produced by a reader.

Will dequeue a work unit from queue if necessary (e.g., when the Reader needs to start reading from a new file since it has finished with the previous file). It may return less than num_records even before the last batch.

Args
queue	A Queue or a mutable string Tensor representing a handle to a Queue, with string work items.
num_records	Number of records to read.
name	A name for the operation (optional).

Returns
A tuple of Tensors (keys, values).
keys	A 1-D string Tensor.
values	A 1-D string Tensor.

reset

View source

reset(
    name=None
)

Restore a reader to its initial clean state.

Args
name	A name for the operation (optional).

Returns
The created Operation.

restore_state

View source

restore_state(
    state, name=None
)

Restore a reader to a previously saved state.

Not all Readers support being restored, so this can produce an Unimplemented error.

Args
state	A string Tensor. Result of a SerializeState of a Reader with matching type.
name	A name for the operation (optional).

Returns
The created Operation.

serialize_state

View source

serialize_state(
    name=None
)

Produce a string tensor that encodes the state of a reader.

Not all Readers support being serialized, so this can produce an Unimplemented error.

Args
name	A name for the operation (optional).

Returns
A string Tensor.