[DOCS] GNA disclaimer

This commit is contained in:
Karol Blaszczak
2023-07-12 11:46:08 +02:00
committed by GitHub
parent 7c1949421f
commit b30bd0d3e4
2 changed files with 7 additions and 4 deletions
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@@ -154,7 +154,7 @@ When you are running several inference requests in parallel, a device can proces
Use weak reference of infer_request (``ov::InferRequest*``, ``ov::InferRequest&``, ``std::weal_ptr<ov::InferRequest>``, etc.) in the callback. It is necessary to avoid cyclic references.
For more details, see the `Classification Async Sample <../../samples/cpp/classification_sample_async/README.md>`_.
For more details, see the :doc:`Classification Async Sample <openvino_inference_engine_samples_classification_sample_async_README>`.
You can use the ``ov::InferRequest::cancel`` method if you want to abort execution of the current inference request:
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@@ -13,11 +13,14 @@ The Intel® Gaussian & Neural Accelerator (GNA) is a low-power neural coprocesso
Intel® GNA is not intended to replace typical inference devices such as the CPU and GPU. It is designed for offloading
continuous inference workloads including but not limited to noise reduction or speech recognition
to save power and free CPU resources.
to save power and free CPU resources. It lets you run inference on Intel® GNA, as well as the CPU, in the software execution mode.
For more details on how to configure a system to use GNA, see the :doc:`GNA configuration page <openvino_docs_install_guides_configurations_for_intel_gna>`.
The GNA plugin provides a way to run inference on Intel® GNA, as well as in the software execution mode on CPU.
.. note::
For more details on how to configure a machine to use GNA, see the :doc:`GNA configuration page <openvino_docs_install_guides_configurations_for_intel_gna>`.
Intel's GNA is being discontinued and Intel® Core™ Ultra (formerly known as Meteor Lake) will be the last generation of hardware to include it.
Consider Intel's new Visual Processing Unit as a low-power solution for offloading neural network computation, for processors offering the technology.
Intel® GNA Generational Differences
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