Applies a gradient to a given accumulator.

Returns the number of gradients aggregated in the given accumulators.

Updates the accumulator with a new value for global_step.

Extracts the average gradient in the given ConditionalAccumulator, provided.

Defines a barrier that persists across different graph executions.

Closes the given barrier.

Computes the number of incomplete elements in the given barrier.

For each key, assigns the respective value to the specified component.

Computes the number of complete elements in the given barrier.

Takes the given number of completed elements from a barrier.

A conditional accumulator for aggregating gradients.

Delete the tensor specified by its handle in the session.

Partitions data into num_partitions tensors using indices from partitions.

Interleave the values from the data tensors into a single tensor.

A queue that produces elements in first-in first-out order.

Store the input tensor in the state of the current session.

Get the value of the tensor specified by its handle.

Outputs all keys and values in the table.

A queue that produces elements in first-in first-out order.

A queue that produces elements sorted by the first component value.

Closes the given queue.

Dequeues a tuple of one or more tensors from the given queue.

Dequeues n tuples of one or more tensors from the given queue.

Dequeues n tuples of one or more tensors from the given queue.

Enqueues a tuple of one or more tensors in the given queue.

Enqueues zero or more tuples of one or more tensors in the given queue.

Computes the number of elements in the given queue.

A queue that randomizes the order of elements.

Emits randomized records.

Applies a sparse gradient to a given accumulator.

Extracts the average sparse gradient in the given SparseConditionalAccumulator,.

A conditional accumulator for aggregating sparse gradients.

Stage values similar to a lightweight Enqueue.

An array of Tensors of given size, with data written via Write and read.

Delete the TensorArray from its resource container.

Concat the elements from the TensorArray into value value.

Gather specific elements from the TensorArray into output value.

Creates a TensorArray for storing the gradients of values in the given handle.

Read an element from the TensorArray into output value.

Scatter the data from the input value into specific TensorArray elements.

Get the current size of the TensorArray.

Split the data from the input value into TensorArray elements.

Push an element onto the tensor_array.

Op is similar to a lightweight Dequeue.