Data flow graphs are directed acyclic graphs that describe a computation for TensorFlow. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional ...

By specifying a dependency graph, the developer expresses all the inter-dependencies between executing nodes. This gives the Intel TBB scheduler the flexibility it needs to efficiently exploit the ...

For this example, I used the filter ip.addr==192.168.250.102 and clicked Apply. From there, you can do the next trick, which is to look at the flow graph of a TCP connection.

TensorFlow delivers a set of modules (providing for both Python and C/C++ APIs) that enable constructing and executing TensorFlow computations, which are then expressed in stateful data flow graphs.