tfdbg.reconstruct_non_debug_graph_def(debug_graph_def)
Defined in tensorflow/python/debug/lib/debug_graphs.py
.
Reconstruct original (non-debugger-decorated) partition GraphDef.
This method strips the input tf.GraphDef
of the Copy and Debug-type nodes inserted by the debugger.
The reconstructed partition graph is identical to the original (i.e., non-debugger-decorated) partition graph except in the following respects: 1) The exact names of the runtime-inserted internal nodes may differ. These include _Send, _Recv, _HostSend, _HostRecv, _Retval ops. 2) As a consequence of 1, the nodes that receive input directly from such send- and recv-type ops will have different input names. 3) The parallel_iteration attribute of while-loop Enter ops are set to 1.
debug_graph_def
: The debugger-decorated tf.GraphDef
, with the debugger-inserted Copy and Debug nodes.The reconstructed tf.GraphDef
stripped of the debugger-inserted nodes.
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tfdbg/reconstruct_non_debug_graph_def