Data Flow Ops
Summary
Classes 


tensorflow:: 
Applies a gradient to a given accumulator. 
tensorflow:: 
Returns the number of gradients aggregated in the given accumulators. 
tensorflow:: 
Updates the accumulator with a new value for global_step. 
tensorflow:: 
Extracts the average gradient in the given ConditionalAccumulator, provided. 
tensorflow:: 
Defines a barrier that persists across different graph executions. 
tensorflow:: 
Closes the given barrier. 
tensorflow:: 
Computes the number of incomplete elements in the given barrier. 
tensorflow:: 
For each key, assigns the respective value to the specified component. 
tensorflow:: 
Computes the number of complete elements in the given barrier. 
tensorflow:: 
Takes the given number of completed elements from a barrier. 
tensorflow:: 
A conditional accumulator for aggregating gradients. 
tensorflow:: 
Delete the tensor specified by its handle in the session. 
tensorflow:: 
Partitions 
tensorflow:: 
Interleave the values from the 
tensorflow:: 
A queue that produces elements in firstin firstout order. 
tensorflow:: 
Store the input tensor in the state of the current session. 
tensorflow:: 
Get the value of the tensor specified by its handle. 
tensorflow:: 
Outputs all keys and values in the table. 
tensorflow:: 
A queue that produces elements in firstin firstout order. 
tensorflow:: 
A queue that produces elements sorted by the first component value. 
tensorflow:: 
Closes the given queue. 
tensorflow:: 
Dequeues a tuple of one or more tensors from the given queue. 
tensorflow:: 
Dequeues n tuples of one or more tensors from the given queue. 
tensorflow:: 
Dequeues n tuples of one or more tensors from the given queue. 
tensorflow:: 
Enqueues a tuple of one or more tensors in the given queue. 
tensorflow:: 
Enqueues zero or more tuples of one or more tensors in the given queue. 
tensorflow:: 
Computes the number of elements in the given queue. 
tensorflow:: 
A queue that randomizes the order of elements. 
tensorflow:: 
Emits randomized records. 
tensorflow:: 
Applies a sparse gradient to a given accumulator. 
tensorflow:: 
Extracts the average sparse gradient in the given SparseConditionalAccumulator,. 
tensorflow:: 
A conditional accumulator for aggregating sparse gradients. 
tensorflow:: 
Stage values similar to a lightweight Enqueue. 
tensorflow:: 
An array of Tensors of given size, with data written via Write and read. 
tensorflow:: 
Delete the TensorArray from its resource container. 
tensorflow:: 
Concat the elements from the TensorArray into value 
tensorflow:: 
Gather specific elements from the TensorArray into output 
tensorflow:: 
Creates a TensorArray for storing the gradients of values in the given handle. 
tensorflow:: 
Read an element from the TensorArray into output 
tensorflow:: 
Scatter the data from the input value into specific TensorArray elements. 
tensorflow:: 
Get the current size of the TensorArray. 
tensorflow:: 
Split the data from the input value into TensorArray elements. 
tensorflow:: 
Push an element onto the tensor_array. 
tensorflow:: 
Op is similar to a lightweight Dequeue. 