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[GNA] Documentation updates for 2021.1
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dorloff committed Sep 29, 2020
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29 changes: 27 additions & 2 deletions docs/IE_DG/supported_plugins/GNA.md
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Expand Up @@ -42,6 +42,8 @@ Intel® Core™ i3-8121U Processor
- Intel® Core™ i3-1000G1 Processor
- Intel® Core™ i3-1000G4 Processor

* All [Tiger Lake](https://ark.intel.com/content/www/us/en/ark/products/codename/88759/tiger-lake.html) processors.

> **NOTE**: On platforms where Intel® GNA is not enabled in the BIOS, the driver cannot be installed, so the GNA plugin uses the software emulation mode only.
## Drivers and Dependencies
Expand All @@ -64,10 +66,11 @@ The list of supported layers can be found
[here](Supported_Devices.md) (see the GNA column of Supported Layers section).
Limitations include:

- Only 1D convolutions (in the models converted from [Kaldi](../../MO_DG/prepare_model/convert_model/Convert_Model_From_Kaldi.md) framework) are natively supported
- Only 1D convolutions are natively supported in the models converted from:
- [Kaldi](../../MO_DG/prepare_model/convert_model/Convert_Model_From_Kaldi.md) framework;
- [TensorFlow](../../MO_DG/prepare_model/convert_model/Convert_Model_From_TensorFlow.md) framework; note that for TensorFlow models, the option `--disable_nhwc_to_nchw` must be used when running the Model Optimizer.
- The number of output channels for convolutions must be a multiple of 4
- Permute layer support is limited to the cases where no data reordering is needed, or when reordering is happening for 2 dimensions, at least one of which is not greater than 8
- Power layer only supports the power parameter equal to 1

#### Experimental Support for 2D Convolutions

Expand Down Expand Up @@ -159,6 +162,28 @@ Heterogeneous plugin was tested with the Intel® GNA as a primary device and

> **NOTE:** Due to limitation of the Intel® GNA backend library, heterogenous support is limited to cases where in the resulted sliced graph, only one subgraph is scheduled to run on GNA\_HW or GNA\_SW devices.
## Recovery from interruption by high-priority Windows audio processes\*

As noted in the introduction, GNA is designed for real-time workloads such as noise reduction or speech recognition.
For such workloads, processing should be time constrained, otherwise extra delays may cause undesired effects such as
audio "glitches". To make sure that processing can satisfy real time requirements, the GNA driver provides a QoS
mechanism which interrupts the requests which cannot be fulfilled in time.

If an inference (in `GNA_HW` mode) cannot be executed because of interruption caused by QoS mechanism, then `InferRequest::Wait()` will return status code
`StatusCode::INFER_NOT_STARTED` (note that it will be changed to a more meaningful status code in future releases).

Any application working with GNA must properly react if receives this code. Various strategies are possible.
One of the options is to immediately switch to GNA SW emulation mode:

```cpp
std::map<std::string, Parameter> newConfig;
newConfig[GNAConfigParams::KEY_GNA_DEVICE_MODE] = Parameter("GNA_SW_EXACT");
executableNet.SetConfig(newConfig);

```

and switch back to GNA_HW after some time hoping that the competing application has finished.

## See Also

* [Supported Devices](Supported_Devices.md)
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2 changes: 1 addition & 1 deletion docs/IE_DG/supported_plugins/Supported_Devices.md
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Expand Up @@ -94,7 +94,7 @@ the supported output precision depends on the actual underlying devices. _Gener
|GPU plugin |Supported |Supported |Supported |Supported |
|FPGA plugin |Not supported |Supported |Supported |Not supported |
|VPU plugins |Not supported |Supported |Supported |Supported |
|GNA plugin |Not supported |Not supported |Not supported |Supported |
|GNA plugin |Not supported |Supported |Supported |Supported |

### Supported Output Layout

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