openvino-inference-engine : Remove openvino related recipes and tests

* Remove all openvino related recipes, tests and other data from meta-intel
  layer as a new layer (meta-oepnvino) specific to openvino has been created.

* Update openvino documentation

meta-openvino layer URL:
https://github.com/intel/meta-openvino

Signed-off-by: Yogesh Tyagi <yogesh.tyagi@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>

1 files changed, 0 insertions, 109 deletions

diff --git a/lib/oeqa/runtime/cases/dldt_inference_engine.py b/lib/oeqa/runtime/cases/dldt_inference_engine.py
deleted file mode 100644
index fb35d52f..00000000
--- a/lib/oeqa/runtime/cases/dldt_inference_engine.py
+++ /dev/null
@@ -1,109 +0,0 @@
-from oeqa.runtime.case import OERuntimeTestCase
-from oeqa.runtime.decorator.package import OEHasPackage
-from oeqa.core.decorator.depends import OETestDepends
-from oeqa.runtime.miutils.targets.oeqatarget import OEQATarget
-from oeqa.runtime.miutils.tests.squeezenet_model_download_test import SqueezenetModelDownloadTest
-from oeqa.runtime.miutils.tests.dldt_model_optimizer_test import DldtModelOptimizerTest
-from oeqa.runtime.miutils.tests.dldt_inference_engine_test import DldtInferenceEngineTest
-from oeqa.runtime.miutils.dldtutils import get_testdata_config
-
-class DldtInferenceEngine(OERuntimeTestCase):
-
-    @classmethod
-    def setUpClass(cls):
-        cls.sqn_download = SqueezenetModelDownloadTest(OEQATarget(cls.tc.target), '/tmp/ie/md')
-        cls.sqn_download.setup()
-        cls.dldt_mo = DldtModelOptimizerTest(OEQATarget(cls.tc.target), '/tmp/ie/ir')
-        cls.dldt_mo.setup()
-        cls.dldt_ie = DldtInferenceEngineTest(OEQATarget(cls.tc.target), '/tmp/ie/inputs')
-        cls.dldt_ie.setup()
-        cls.ir_files_dir = cls.dldt_mo.work_dir
-
-    @classmethod
-    def tearDownClass(cls):
-        cls.dldt_ie.tear_down()
-        cls.dldt_mo.tear_down()
-        cls.sqn_download.tear_down()
-
-    @OEHasPackage(['dldt-model-optimizer'])
-    @OEHasPackage(['wget'])
-    def test_dldt_ie_can_create_ir_and_download_input(self):
-        proxy_port = get_testdata_config(self.tc.td, 'DLDT_PIP_PROXY')
-        if not proxy_port:
-            self.skipTest('Need to configure bitbake configuration (DLDT_PIP_PROXY="proxy.server:port").')
-        (status, output) = self.sqn_download.test_can_download_squeezenet_model(proxy_port)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-        (status, output) = self.sqn_download.test_can_download_squeezenet_prototxt(proxy_port)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-        mo_exe_dir = get_testdata_config(self.tc.td, 'DLDT_MO_EXE_DIR')
-        if not mo_exe_dir:
-            self.skipTest('Need to configure bitbake configuration (DLDT_MO_EXE_DIR="directory_to_mo.py").')
-        mo_files_dir = self.sqn_download.work_dir
-        (status, output) = self.dldt_mo.test_dldt_mo_can_create_ir(mo_exe_dir, mo_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-        (status, output) = self.dldt_ie.test_can_download_input_file(proxy_port)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-samples'])
-    def test_dldt_ie_classification_with_cpu(self):
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_with_device('CPU', self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-samples'])
-    @OEHasPackage(['intel-compute-runtime'])
-    @OEHasPackage(['ocl-icd'])
-    def test_dldt_ie_classification_with_gpu(self):
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_with_device('GPU', self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-samples'])
-    @OEHasPackage(['dldt-inference-engine-vpu-firmware'])
-    def test_dldt_ie_classification_with_myriad(self):
-        device = 'MYRIAD'
-        (status, output) = self.dldt_ie.test_check_if_openvino_device_available(device)
-        if not status:
-            self.skipTest('OpenVINO %s device not available on target machine(availalbe devices: %s)' % (device, output))
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_with_device(device, self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-python3'])
-    @OEHasPackage(['python3-opencv'])
-    @OEHasPackage(['python3-numpy'])
-    def test_dldt_ie_classification_python_api_with_cpu(self):
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_python_api_with_device('CPU', self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-python3'])
-    @OEHasPackage(['intel-compute-runtime'])
-    @OEHasPackage(['ocl-icd'])
-    @OEHasPackage(['python3-opencv'])
-    @OEHasPackage(['python3-numpy'])
-    def test_dldt_ie_classification_python_api_with_gpu(self):
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_python_api_with_device('GPU', self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))
-
-    @OETestDepends(['dldt_inference_engine.DldtInferenceEngine.test_dldt_ie_can_create_ir_and_download_input'])
-    @OEHasPackage(['dldt-inference-engine'])
-    @OEHasPackage(['dldt-inference-engine-python3'])
-    @OEHasPackage(['dldt-inference-engine-vpu-firmware'])
-    @OEHasPackage(['python3-opencv'])
-    @OEHasPackage(['python3-numpy'])
-    def test_dldt_ie_classification_python_api_with_myriad(self):
-        device = 'MYRIAD'
-        (status, output) = self.dldt_ie.test_check_if_openvino_device_available(device)
-        if not status:
-            self.skipTest('OpenVINO %s device not available on target machine(availalbe devices: %s)' % (device, output))
-        (status, output) = self.dldt_ie.test_dldt_ie_classification_python_api_with_device(device, self.ir_files_dir)
-        self.assertEqual(status, 0, msg='status and output: %s and %s' % (status, output))