A bool Tensor. This tensor controls whether the input is
added to the queue or not. If it is a scalar and evaluates True, then
tensors are all added to the queue. If it is a vector and enqueue_many
is True, then each example is added to the queue only if the
corresponding value in keep_input is True. This tensor essentially
acts as a filtering mechanism.
The new batch size pulled from the queue.
The number of threads enqueuing tensors. The batching will
be nondeterministic if num_threads > 1.
An integer. The maximum number of elements in the queue.
Whether each tensor in tensors is a single example.
(Optional) The shapes for each example. Defaults to the
inferred shapes for tensors.
Boolean. Allow variable dimensions in input shapes.
The given dimensions are padded upon dequeue so that tensors within a
batch have the same shapes.
(Optional) Boolean. If True, allow the final
batch to be smaller if there are insufficient items left in the queue.
(Optional). If set, this queue will be shared under the given
name across multiple sessions.
(Optional) A name for the operations.
A list or dictionary of tensors with the same types as tensors.
If the shapes are not specified, and cannot be
inferred from the elements of tensors.