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Remove myriad plugin (#15131)

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* Removed Intel MYRIAD plugin

* Removed Intel MYIAD from CI files

* Removed Intel MYRIAD from cmake folder

* Removed MYRIAD, HDDL from samples

* Removed MYRIAD, HDDL from scripts folder

* Removed MYRIAD from bindings folder (C and Python API)

* Removed MYRIAD tests

* Removed MYRIAD from tests folder

* Removed MYRIAD from tools folder

* Removed HDDL (VAD), MYRIAD (NSC2) from documentation

* Fixed build for AUTO unit tests

* Fixed clang code style

* Fixed comments and issues

* removed MYRIAD from AUTO tests

* Disabled MULTI tests in CI

* Update docs/OV_Runtime_UG/auto_device_selection.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/get_started/get_started_demos.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* Update docs/OV_Runtime_UG/deployment/local-distribution.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>
This commit is contained in:
Ilya Lavrenov
2023-01-18 15:19:44 +04:00
committed by GitHub
parent a1203b931a
commit c4eeecfec5
1167 changed files with 184 additions and 154079 deletions
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docs/optimization_guide/dldt_deployment_optimization_tput_advanced.md
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@@ -8,7 +8,7 @@ This configurable method of this device-side parallelism is commonly referred as
> **NOTE**: Be aware that streams are **really executing the requests in parallel, but not in the lock step** (as the batching does), which makes the streams fully compatible with [dynamically-shaped inputs](../OV_Runtime_UG/ov_dynamic_shapes.md), while individual requests can have different shapes.
> **NOTE**: Most OpenVINO devices (including CPU, GPU and VPU) support the streams, yet the *optimal* number of the streams is deduced very differently. More information on this topic can be found in the section [below](@ref stream_considerations).
> **NOTE**: Most OpenVINO devices (including CPU and GPU) support the streams, yet the *optimal* number of the streams is deduced very differently. More information on this topic can be found in the section [below](@ref stream_considerations).
A few general considerations:
* Using the streams does increase the latency of an individual request: