natas_hw
/
openvino
0
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Removed confusing ONNX RT EP deprecation note (#2400)

This commit is contained in:
Andrey Zaytsev 2020-09-23 20:16:45 +03:00 committed by GitHub
parent d32a2d63de
commit e9969112af
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
11 changed files with 4 additions and 193 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
docs/IE_DG/API_Changes.md
View File

@ -2,23 +2,6 @@
The sections below contain detailed list of changes made to the Inference Engine API in recent releases.
## Deprecation Notice
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.
Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.
## 2020.4
### New API

19
docs/IE_DG/Extensibility_DG/AddingNGraphOps.md
View File

@ -69,21 +69,4 @@ When specifying opset names, follow the rules below:
* `opset1` is the name of default operations set.
Operations from the default opset cannot be redefined.
Use a custom opset to create a new operation or extend functionality of an existing operation from another opset.
## Deprecation Notice
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
*Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.*
*Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.*
Use a custom opset to create a new operation or extend functionality of an existing operation from another opset.

17
docs/IE_DG/Graph_debug_capabilities.md
View File

@ -45,20 +45,3 @@ network.serialize("test_ir.xml", "test_ir.bin");
```
> **NOTE**: CNNNetwork created from the nGraph function might differ from the original nGraph
> function because the Inference Engine applies some graph transformation.
## Deprecation Notice
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
*Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.*
*Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.*

17
docs/IE_DG/Integrate_with_customer_application_new_API.md
View File

@ -301,20 +301,3 @@ Redistributable and Intel® C++ Compiler 2017 Redistributable packages are insta
application folder or accessible via `%PATH%` environment variable.
[integration_process]: img/integration_process.png
## Deprecation Notice
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
*Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.*
*Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.*

17
docs/IE_DG/Introduction.md
View File

@ -96,23 +96,6 @@ nGraph Function is used as an intermediate representation for a model in the run
The conventional representation for CNNNetwork is still available if requested for backward compatibility when some conventional API methods are used.
Please refer to the [Overview of nGraph Flow](nGraph_Flow.md) describing the details of nGraph integration into the Inference Engine and co-existence with the conventional representation.
**Deprecation Notice**
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
*Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.*
*Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.*
## Inference Engine <a name = "IE"></a>
Inference Engine is a runtime that delivers a unified API to integrate the inference with application logic:

20
docs/IE_DG/OnnxImporterTutorial.md
View File

@ -97,22 +97,4 @@ const std::shared_ptr<ngraph::Function> ng_function = ngraph::onnx_import::impor
```
[onnx_header]: https://github.com/NervanaSystems/ngraph/blob/master/src/ngraph/frontend/onnx_import/onnx.hpp
[onnx_model_zoo]: https://github.com/onnx/models
## Deprecation Notice
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
*Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.*
*Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.*
[onnx_model_zoo]: https://github.com/onnx/models

19
docs/IE_DG/ShapeInference.md
View File

@ -109,21 +109,4 @@ Shape Inference feature is used in [Smart classroom sample](@ref omz_demos_smart
## Extensibility
Inference Engine provides a special mechanism that allows to add the support of shape inference for custom operations.
This mechanism is described in the [Extensibility documentation](Extensibility_DG/Intro.md)
## Deprecation Notice
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
*Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.*
*Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.*
This mechanism is described in the [Extensibility documentation](Extensibility_DG/Intro.md).

17
docs/IE_DG/nGraphTutorial.md
View File

@ -55,23 +55,6 @@ To wrap it into a CNNNetwork, use:
CNNNetwork net (ng_function);
```
## Deprecation Notice
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
*Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.*
*Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.*
## See Also
* [Available Operation Sets](../ops/opset.md)

17
docs/IE_DG/nGraph_Flow.md
View File

@ -140,20 +140,3 @@ The model is still represented as the nGraph function at this stage, but the ope
4. One-to-one conversion of nGraph representation to the corresponding `CNNNetworkImpl` without changing its semantics.
You can see the result of the conversion by calling the `CNNNetwork::serialize` method, which produces legacy IR semantics, which is not nGraph-based even if it is applied to `CNNNetwork` constructed from the nGraph Function.
It may help in debugging, see [Graph Debug Capabilities](Graph_debug_capabilities.md) to view all options for dumping new and old IR representations.
## Deprecation Notice
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
*Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.*
*Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.*

17
docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md
View File

@ -14,23 +14,6 @@ Model Optimizer produces an Intermediate Representation (IR) of the network, whi
## What's New in the Model Optimizer in this Release?
**Deprecation Notice**
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
*Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.*
*Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.*
* Common changes:
* Implemented generation of a compressed OpenVINO IR suitable for INT8 inference, which takes up to 4 times less disk space than an expanded one. Use the `--disable_weights_compression` Model Optimizer command-line parameter to get an expanded version.
* Implemented an optimization transformation to replace a sub-graph with the `Erf` operation into the `GeLU` operation.

20
docs/MO_DG/IR_and_opsets.md
View File

@ -240,22 +240,4 @@ So `opset1` and `opset2` share the same operation `ReLU`.
To differentiate versions of the same operation type, like `ReLU`, the suffix `-N` is used in a versioned name of the operation.
`N` usually refers to the first `opsetN` where this version of the operation is introduced.
It is not guaranteed that new operations will be named according to that rule, the naming convention might be changed, but not for old operations which are frozen completely.
## Deprecation Notice
<table>
<tr>
<td><strong>Deprecation Begins</strong></td>
<td>June 1, 2020</td>
</tr>
<tr>
<td><strong>Removal Date</strong></td>
<td>December 1, 2020</td>
</tr>
</table>
*Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit.*
*Therefore, ONNX RT Execution Provider for nGraph will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware.*
It is not guaranteed that new operations will be named according to that rule, the naming convention might be changed, but not for old operations which are frozen completely.