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fix for hetero example (https://jira.devtools.intel.com/browse/CVS-33836) NB: the FPGA (even though deprecated) continues to be the only viable example foir the HETERO plugin, so leaving that (#2982)

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Maxim Shevtsov
2020-11-09 14:42:18 +03:00
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parent 046183251a
commit 4871e1802d
1 changed files with 2 additions and 4 deletions
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6
docs/optimization_guide/dldt_optimization_guide.md
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@@ -263,9 +263,7 @@ The following tips are provided to give general guidance on optimizing execution
### Analyzing Heterogeneous Execution <a name="analyzing-heterogeneous-execution"></a>
There is a dedicated configuration option that enables dumping the visualization of the subgraphs created by the heterogeneous plugin:
@snippet openvino/docs/snippets/dldt_optimization_guide0.cpp part0
There is a dedicated configuration option that enables dumping the visualization of the subgraphs created by the heterogeneous plugin, please see code example in the [HETERO plugin documentation](https://docs.openvinotoolkit.org/latest/openvino_docs_IE_DG_supported_plugins_HETERO.html#analyzing_heterogeneous_execution)
After enabling the configuration key, the heterogeneous plugin generates two files:
@@ -276,7 +274,7 @@ You can use GraphViz\* utility or `.dot` converters (for example, to `.png` or `
![](../img/output_trimmed.png)
You can also use performance data (in samples, it is an option `-pc`) to get performance data on each subgraph. Refer to <a href="#performance-counters">Internal Inference Performance Counters</a> for more information.
You can also use performance data (in the [Benchmark App](../../inference-engine/samples/benchmark_app/README.md), it is an option `-pc`) to get performance data on each subgraph. Again, refer to the [HETERO plugin documentation](https://docs.openvinotoolkit.org/latest/openvino_docs_IE_DG_supported_plugins_HETERO.html#analyzing_heterogeneous_execution) and to <a href="#performance-counters">Internal Inference Performance Counters</a> for a general counters information.
## Optimizing Custom Kernels <a name="optimizing-custom-kernels"></a>