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[DOCS] Link adjustment for master (#17607)

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Maciej Smyk
2023-05-18 17:12:34 +02:00
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parent d3d249afc6
commit 568f0eb21b
35 changed files with 124 additions and 128 deletions
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docs/optimization_guide/dldt_deployment_optimization_common.md
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@@ -54,7 +54,7 @@ Below are example-codes for the regular and async-based approaches to compare:
The technique can be generalized to any available parallel slack. For example, you can do inference and simultaneously encode the resulting or previous frames or run further inference, like emotion detection on top of the face detection results.
Refer to the `Object Detection C++ Demo <https://docs.openvino.ai/latest/omz_demos_object_detection_demo_cpp.html>`__, `Object Detection Python Demo <https://docs.openvino.ai/latest/omz_demos_object_detection_demo_python.html>`__ (latency-oriented Async API showcase) and :doc:`Benchmark App Sample <openvino_inference_engine_samples_benchmark_app_README>` for complete examples of the Async API in action.
Refer to the `Object Detection C++ Demo <https://docs.openvino.ai/2023.0/omz_demos_object_detection_demo_cpp.html>`__ , `Object Detection Python Demo <https://docs.openvino.ai/2023.0/omz_demos_object_detection_demo_python.html>`__ (latency-oriented Async API showcase) and :doc:`Benchmark App Sample <openvino_inference_engine_samples_benchmark_app_README>` for complete examples of the Async API in action.
.. note::

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docs/optimization_guide/nncf/introduction.md
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@@ -28,8 +28,8 @@ NNCF Quick Start Examples
See the following Jupyter Notebooks for step-by-step examples showing how to add model compression to a PyTorch or Tensorflow training pipeline with NNCF:
- `Quantization Aware Training with NNCF and PyTorch <https://docs.openvino.ai/latest/notebooks/302-pytorch-quantization-aware-training-with-output.html>`__.
- `Quantization Aware Training with NNCF and TensorFlow <https://docs.openvino.ai/latest/notebooks/305-tensorflow-quantization-aware-training-with-output.html>`__.
- `Quantization Aware Training with NNCF and PyTorch <notebooks/302-pytorch-quantization-aware-training-with-output.html>`__.
- `Quantization Aware Training with NNCF and TensorFlow <notebooks/305-tensorflow-quantization-aware-training-with-output.html>`__.
Installation
####################
@@ -109,7 +109,7 @@ Additional Resources
- :doc:`Quantizing Models Post-training <pot_introduction>`
- `NNCF GitHub repository <https://github.com/openvinotoolkit/nncf>`__
- `NNCF FAQ <https://github.com/openvinotoolkit/nncf/blob/develop/docs/FAQ.md>`__
- `Quantization Aware Training with NNCF and PyTorch <https://docs.openvino.ai/latest/notebooks/302-pytorch-quantization-aware-training-with-output.html>`__
- `Quantization Aware Training with NNCF and TensorFlow <https://docs.openvino.ai/latest/notebooks/305-tensorflow-quantization-aware-training-with-output.html>`__
- `Quantization Aware Training with NNCF and PyTorch <notebooks/302-pytorch-quantization-aware-training-with-output.html>`__
- `Quantization Aware Training with NNCF and TensorFlow <notebooks/305-tensorflow-quantization-aware-training-with-output.html>`__.
@endsphinxdirective