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Fixed comments after PR 13366 (#13389)

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This commit is contained in:
Ilya Churaev
2022-10-11 13:07:18 +04:00
committed by GitHub
parent f58dc8f7c5
commit b2e35592f7
4 changed files with 5 additions and 5 deletions
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README.md
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@@ -45,9 +45,9 @@ source and public models in popular formats such as TensorFlow, ONNX, PaddlePadd
* [transformations](./src/common/transformations) - contains the set of common transformations which are used in OpenVINO plugins.
* [low precision transformations](./src/common/low_precision_transformations) - contains the set of transformations that are used in low precision models
* [bindings](./src/bindings) - contains all available OpenVINO bindings which are maintained by the OpenVINO team.
* [c](./src/bindings/c) - provides C API for OpenVINO™ Runtime
* [c](./src/bindings/c) - C API for OpenVINO™ Runtime
* [python](./src/bindings/python) - Python API for OpenVINO™ Runtime
* [Plugins](./src/plugins) - contains OpenVINO plugins which are maintained in open-source by OpenVINO team. For more information, take a look at the [list of supported devices](#supported-hardware-matrix).
* [Plugins](./src/plugins) - contains OpenVINO plugins which are maintained in open-source by the OpenVINO team. For more information, take a look at the [list of supported devices](#supported-hardware-matrix).
* [Frontends](./src/frontends) - contains available OpenVINO frontends that allow reading models from the native framework format.
* [Model Optimizer] - is a cross-platform command-line tool that facilitates the transition between training and deployment environments, performs static model analysis, and adjusts deep learning models for optimal execution on end-point target devices.
* [Post-Training Optimization Tool] - is designed to accelerate the inference of deep learning models by applying special methods without model retraining or fine-tuning, for example, post-training 8-bit quantization.

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src/README.md
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@@ -55,7 +55,7 @@ To get more information about supported OpenVINO Plugins, go to the [Plugins pag
## OpenVINO Bindings
OpenVINO provides bindings for different languages. To get the full list of supported languages, go to the [page](./bindings/README.md).
OpenVINO provides bindings for different languages. To get the full list of supported languages, go to the [bindings page](./bindings/README.md).
## Core developer topics

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src/frontends/ir/README.md
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@@ -31,7 +31,7 @@ OpenVINO IR Frontend contains the next components:
## Architecture
OpenVINO IR Frontend uses [pugixml](https://github.com/zeux/pugixml/blob/master/README.md) library to parse xml files.
OpenVINO IR Frontend uses the [pugixml](https://github.com/zeux/pugixml/blob/master/README.md) library to parse xml files.
For detailed information about OpenVINO IR Frontend architecture, read the [architecture guide](./docs/architecture.md).
## Tutorials

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src/frontends/ir/docs/architecture.md
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# OpenVINO IR Frontend Architecture
OpenVINO IR Frontend uses [pugixml](https://github.com/zeux/pugixml/blob/master/README.md) library to parse XML files. After that, based on the version and name of the operation, the Frontend creates the supported operation and initializes it using OpenVINO Visitor API:
OpenVINO IR Frontend uses the [pugixml](https://github.com/zeux/pugixml/blob/master/README.md) library to parse XML files. After that, based on the version and name of the operation, the Frontend creates the supported operation and initializes it using OpenVINO Visitor API:
```mermaid
flowchart TB
fw_model[(IR)]