tf.compat.v1.train.slice_input_producer

Produces a slice of each Tensor in tensor_list. (deprecated)

tf.compat.v1.train.slice_input_producer(
    tensor_list,
    num_epochs=None,
    shuffle=True,
    seed=None,
    capacity=32,
    shared_name=None,
    name=None
)

Implemented using a Queue -- a QueueRunner for the Queue is added to the current Graph's QUEUE_RUNNER collection.

tensor_list A list of Tensor objects. Every Tensor in tensor_list must have the same size in the first dimension. num_epochs An integer (optional). If specified, slice_input_producer produces each slice num_epochs times before generating an OutOfRange error. If not specified, slice_input_producer can cycle through the slices an unlimited number of times. shuffle Boolean. If true, the integers are randomly shuffled within each epoch. seed An integer (optional). Seed used if shuffle == True. capacity An integer. Sets the queue capacity. shared_name (optional). If set, this queue will be shared under the given name across multiple sessions. name A name for the operations (optional).

A list of tensors, one for each element of tensor_list. If the tensor in tensor_list has shape [N, a, b, .., z], then the corresponding output tensor will have shape [a, b, ..., z].

ValueError if slice_input_producer produces nothing from tensor_list.

eager compatibility

Input pipelines based on Queues are not supported when eager execution is enabled. Please use the tf.data API to ingest data under eager execution.