tf.contrib.learn.read_keyed_batch_features_shared_queue

Adds operations to read, queue, batch and parse Example protos. (deprecated)

tf.contrib.learn.read_keyed_batch_features_shared_queue(
    file_pattern, batch_size, features, reader, randomize_input=True,
    num_epochs=None, queue_capacity=10000, reader_num_threads=1,
    feature_queue_capacity=100, num_queue_runners=2, parse_fn=None, name=None
)

Given file pattern (or list of files), will setup a shared queue for file names, setup a worker queue that gets filenames from the shared queue, read Example proto using provided reader, use batch queue to create batches of examples of size batch_size and parse example given features specification.

All queue runners are added to the queue runners collection, and may be started via start_queue_runners.

All ops are added to the default graph.

Args
file_pattern	List of files or patterns of file paths containing Example records. See tf.io.gfile.glob for pattern rules.
batch_size	An int or scalar Tensor specifying the batch size to use.
features	A dict mapping feature keys to FixedLenFeature or VarLenFeature values.
reader	A function or class that returns an object with read method, (filename tensor) -> (example tensor).
randomize_input	Whether the input should be randomized.
num_epochs	Integer specifying the number of times to read through the dataset. If None, cycles through the dataset forever. NOTE - If specified, creates a variable that must be initialized, so call tf.compat.v1.local_variables_initializer() and run the op in a session.
queue_capacity	Capacity for input queue.
reader_num_threads	The number of threads to read examples.
feature_queue_capacity	Capacity of the parsed features queue.
num_queue_runners	Number of threads to enqueue the parsed example queue. Using multiple threads to enqueue the parsed example queue helps maintain a full queue when the subsequent computations overall are cheaper than parsing.
parse_fn	Parsing function, takes Example Tensor returns parsed representation. If None, no parsing is done.
name	Name of resulting op.

Returns
Returns tuple of: Tensor of string keys. A dict of Tensor or SparseTensor objects for each in features.

Raises
ValueError	for invalid inputs.