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[DOCS] Fix references in installation guide (#18382)

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This commit is contained in:
Sebastian Golebiewski
2023-07-06 08:04:49 +02:00
committed by GitHub
parent 87ed81f51c
commit 9b67a9ddb3
2 changed files with 4 additions and 4 deletions
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4
docs/OV_Runtime_UG/supported_plugins/GNA.md
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@@ -47,7 +47,7 @@ exported for GNA 2.0 runs on GNA 3.0 or vice versa.
In most cases, a network compiled for GNA 2.0 runs as expected on GNA 3.0. However, performance may be worse
compared to when a network is compiled specifically for the latter. The exception is a network with convolutions
with the number of filters greater than 8192 (see the :ref:`Model and Operation Limitations <#model-and-operation-limitations>` section).
with the number of filters greater than 8192 (see the `Model and Operation Limitations <#model-and-operation-limitations>`__ section).
For optimal work with POT quantized models, which include 2D convolutions on GNA 3.0 hardware, the following requirements should be satisfied:
@@ -136,7 +136,7 @@ quantization hints based on statistics for the provided dataset.
* Performance (i8 weights)
For POT quantized models, the ``ov::hint::inference_precision`` property has no effect except in cases described in the
:ref:`Model and Operation Limitations section <#model-and-operation-limitations>`.
`Model and Operation Limitations section <#model-and-operation-limitations>`__.
Supported Features

4
docs/install_guides/installing-openvino-overview.md
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@@ -44,11 +44,11 @@ The best way to get started with OpenVINO is to install OpenVINO Development Too
**Python**
For developers working in Python, OpenVINO Development Tools can easily be installed using PyPI. See the :ref:`For Python Developers <openvino_docs_install_guides_install_dev_tools.html#python_developers>` section of the Install OpenVINO Development Tools page for instructions.
For developers working in Python, OpenVINO Development Tools can easily be installed using PyPI. See the :ref:`For Python Developers <python_developers>` section of the Install OpenVINO Development Tools page for instructions.
**C++**
For developers working in C++, the core OpenVINO Runtime libraries must be installed separately. Then, OpenVINO Development Tools can be installed using requirements files or PyPI. See the :ref:`For C++ Developers <openvino_docs_install_guides_install_dev_tools.html#cpp_developers>` section of the Install OpenVINO Development Tools page for instructions.
For developers working in C++, the core OpenVINO Runtime libraries must be installed separately. Then, OpenVINO Development Tools can be installed using requirements files or PyPI. See the :ref:`For C++ Developers <cpp_developers>` section of the Install OpenVINO Development Tools page for instructions.
Install OpenVINO Runtime only
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