executor

enable_parallel_graph

(since 1.2.0)

This Flag is used for ParallelExecutor to disable parallel graph execution mode.

Values accepted

Bool. The default value is False.

Example

FLAGS_enable_parallel_graph=False will force disable parallel graph execution mode by ParallelExecutor.

pe_profile_fname

(since 1.3.0)

This Flag is used for debugging for ParallelExecutor. The ParallelExecutor will generate the profile result by gperftools, and the profile result will be stored in the file which is specified by FLAGS_pe_profile_fname. Only valid when compiled WITH_PRIFILER=ON. Empty if disable.

Values accepted

String. The default value is empty (“”).

Example

FLAGS_pe_profile_fname=”./parallel_executor.perf” will store the profile result to parallel_executor.perf.

use_ngraph

(since 1.4.0)

Give a choice to run with Intel nGraph(https://github.com/NervanaSystems/ngraph) engine on inference or training. This will obtain much performance boost on Intel Xeon CPU.

Values accepted

Bool. The default value is False.

Example

FLAGS_use_ngraph=True will enable running with nGraph support.

Note

Intel nGraph is only supported in few models yet. We have only verified [ResNet-50](https://github.com/PaddlePaddle/models/blob/develop/PaddleCV/image_classification/README_ngraph.md) training and inference.