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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
Download Patch File Download Diff File Expand all files Collapse all files

2
samples/python/benchmark/sync_benchmark/sync_benchmark.py
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@@ -33,7 +33,7 @@ def main():
log.info(f'Usage: {sys.argv[0]} <path_to_model>')
return 1
# Optimize for latency. Most of the devices are configured for latency by default,
# but there are exceptions like MYRIAD
# but there are exceptions like GNA
latency = {'PERFORMANCE_HINT': 'LATENCY'}
# Create Core and use it to compile a model.

2
samples/python/classification_sample_async/README.md
View File

@@ -48,7 +48,7 @@ Options:
Required. Path to an image file(s).
-d DEVICE, --device DEVICE
Optional. Specify the target device to infer on; CPU,
GPU, MYRIAD, HDDL or HETERO: is acceptable. The sample
GPU or HETERO: is acceptable. The sample
will look for a suitable plugin for device specified.
Default value is CPU.
```

2
samples/python/classification_sample_async/classification_sample_async.py
View File

@@ -25,7 +25,7 @@ def parse_args() -> argparse.Namespace:
args.add_argument('-i', '--input', type=str, required=True, nargs='+',
help='Required. Path to an image file(s).')
args.add_argument('-d', '--device', type=str, default='CPU',
help='Optional. Specify the target device to infer on; CPU, GPU, MYRIAD, HDDL or HETERO: '
help='Optional. Specify the target device to infer on; CPU, GPU, GNA or HETERO: '
'is acceptable. The sample will look for a suitable plugin for device specified. '
'Default value is CPU.')
# fmt: on

3
samples/python/speech_sample/README.md
View File

@@ -57,7 +57,6 @@ Several execution modes are supported via the `-d` flag:
- `CPU` - All calculation are performed on CPU device using CPU Plugin.
- `GPU` - All calculation are performed on GPU device using GPU Plugin.
- `MYRIAD` - All calculation are performed on Intel® Neural Compute Stick 2 device using VPU MYRIAD Plugin.
- `VPUX` - All calculation are performed on VPUX device using VPUX Plugin.
- `GNA_AUTO` - GNA hardware is used if available and the driver is installed. Otherwise, the GNA device is emulated in fast-but-not-bit-exact mode.
- `GNA_HW` - GNA hardware is used if available and the driver is installed. Otherwise, an error will occur.
@@ -109,7 +108,7 @@ Options:
-r REFERENCE, --reference REFERENCE
Optional. Read reference score file and compare scores.
-d DEVICE, --device DEVICE
Optional. Specify a target device to infer on. CPU, GPU, MYRIAD, VPUX, GNA_AUTO, GNA_HW, GNA_SW_FP32,
Optional. Specify a target device to infer on. CPU, GPU, VPUX, GNA_AUTO, GNA_HW, GNA_SW_FP32,
GNA_SW_EXACT and HETERO with combination of GNA as the primary device and CPU as a secondary (e.g.
HETERO:GNA,CPU) are supported. The sample will look for a suitable plugin for device specified.
Default value is CPU.

2
samples/python/speech_sample/arg_parser.py
View File

@@ -25,7 +25,7 @@ def build_arg_parser() -> argparse.ArgumentParser:
help='Optional. Read reference score file and compare scores.')
args.add_argument('-d', '--device', default='CPU', type=str,
help='Optional. Specify a target device to infer on. '
'CPU, GPU, MYRIAD, VPUX, GNA_AUTO, GNA_HW, GNA_SW_FP32, GNA_SW_EXACT and HETERO with combination of GNA'
'CPU, GPU, VPUX, GNA_AUTO, GNA_HW, GNA_SW_FP32, GNA_SW_EXACT and HETERO with combination of GNA'
' as the primary device and CPU as a secondary (e.g. HETERO:GNA,CPU) are supported. '
'The sample will look for a suitable plugin for device specified. Default value is CPU.')
args.add_argument('-bs', '--batch_size', type=int, choices=range(1, 9), metavar='[1-8]',