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author | Yogesh Tyagi <yogesh.tyagi@intel.com> | 2024-06-27 12:14:27 +0530 |
---|---|---|
committer | Anuj Mittal <anuj.mittal@intel.com> | 2024-07-12 16:40:57 +0800 |
commit | e97386254712047f27f5554da6470fe3fb65d07a (patch) | |
tree | d6e49969da310c1ac1edfce0451099a7aa91281c /lib/oeqa/runtime/miutils | |
parent | ea0a7de92f983fde57ae64d642fb7b534627cd82 (diff) | |
download | meta-intel-e97386254712047f27f5554da6470fe3fb65d07a.tar.gz |
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>
Diffstat (limited to 'lib/oeqa/runtime/miutils')
4 files changed, 0 insertions, 107 deletions
diff --git a/lib/oeqa/runtime/miutils/dldtutils.py b/lib/oeqa/runtime/miutils/dldtutils.py deleted file mode 100644 index 45bf2e12..00000000 --- a/lib/oeqa/runtime/miutils/dldtutils.py +++ /dev/null | |||
@@ -1,3 +0,0 @@ | |||
1 | |||
2 | def get_testdata_config(testdata, config): | ||
3 | return testdata.get(config) | ||
diff --git a/lib/oeqa/runtime/miutils/tests/dldt_inference_engine_test.py b/lib/oeqa/runtime/miutils/tests/dldt_inference_engine_test.py deleted file mode 100644 index 31bfb539..00000000 --- a/lib/oeqa/runtime/miutils/tests/dldt_inference_engine_test.py +++ /dev/null | |||
@@ -1,56 +0,0 @@ | |||
1 | import os | ||
2 | script_path = os.path.dirname(os.path.realpath(__file__)) | ||
3 | files_path = os.path.join(script_path, '../../files/') | ||
4 | |||
5 | class DldtInferenceEngineTest(object): | ||
6 | ie_input_files = {'ie_python_sample': 'classification_sample.py', | ||
7 | 'input': 'chicky_512.png', | ||
8 | 'input_download': 'https://raw.githubusercontent.com/opencv/opencv/master/samples/data/chicky_512.png', | ||
9 | 'model': 'squeezenet_v1.1.xml'} | ||
10 | |||
11 | def __init__(self, target, work_dir): | ||
12 | self.target = target | ||
13 | self.work_dir = work_dir | ||
14 | |||
15 | def setup(self): | ||
16 | self.target.run('mkdir -p %s' % self.work_dir) | ||
17 | self.target.copy_to(os.path.join(files_path, 'dldt-inference-engine', self.ie_input_files['ie_python_sample']), | ||
18 | self.work_dir) | ||
19 | python_cmd = 'from openvino.inference_engine import IENetwork, IECore; ie = IECore(); print(ie.available_devices)' | ||
20 | __, output = self.target.run('python3 -c "%s"' % python_cmd) | ||
21 | self.available_devices = output | ||
22 | |||
23 | def tear_down(self): | ||
24 | self.target.run('rm -rf %s' % self.work_dir) | ||
25 | |||
26 | def test_check_if_openvino_device_available(self, device): | ||
27 | if device not in self.available_devices: | ||
28 | return False, self.available_devices | ||
29 | return True, self.available_devices | ||
30 | |||
31 | def test_can_download_input_file(self, proxy_port): | ||
32 | return self.target.run('cd %s; wget %s -e https_proxy=%s' % | ||
33 | (self.work_dir, | ||
34 | self.ie_input_files['input_download'], | ||
35 | proxy_port)) | ||
36 | |||
37 | def test_dldt_ie_classification_with_device(self, device, ir_files_dir): | ||
38 | return self.target.run('classification_sample_async -d %s -i %s -m %s' % | ||
39 | (device, | ||
40 | os.path.join(self.work_dir, self.ie_input_files['input']), | ||
41 | os.path.join(ir_files_dir, self.ie_input_files['model']))) | ||
42 | |||
43 | def test_dldt_ie_classification_python_api_with_device(self, device, ir_files_dir, extension=''): | ||
44 | if extension: | ||
45 | return self.target.run('python3 %s -d %s -i %s -m %s -l %s' % | ||
46 | (os.path.join(self.work_dir, self.ie_input_files['ie_python_sample']), | ||
47 | device, | ||
48 | os.path.join(self.work_dir, self.ie_input_files['input']), | ||
49 | os.path.join(ir_files_dir, self.ie_input_files['model']), | ||
50 | extension)) | ||
51 | else: | ||
52 | return self.target.run('python3 %s -d %s -i %s -m %s' % | ||
53 | (os.path.join(self.work_dir, self.ie_input_files['ie_python_sample']), | ||
54 | device, | ||
55 | os.path.join(self.work_dir, self.ie_input_files['input']), | ||
56 | os.path.join(ir_files_dir, self.ie_input_files['model']))) | ||
diff --git a/lib/oeqa/runtime/miutils/tests/dldt_model_optimizer_test.py b/lib/oeqa/runtime/miutils/tests/dldt_model_optimizer_test.py deleted file mode 100644 index 7d3db15b..00000000 --- a/lib/oeqa/runtime/miutils/tests/dldt_model_optimizer_test.py +++ /dev/null | |||
@@ -1,23 +0,0 @@ | |||
1 | import os | ||
2 | |||
3 | class DldtModelOptimizerTest(object): | ||
4 | mo_input_files = {'model': 'squeezenet_v1.1.caffemodel', | ||
5 | 'prototxt': 'deploy.prototxt'} | ||
6 | mo_exe = 'mo.py' | ||
7 | |||
8 | def __init__(self, target, work_dir): | ||
9 | self.target = target | ||
10 | self.work_dir = work_dir | ||
11 | |||
12 | def setup(self): | ||
13 | self.target.run('mkdir -p %s' % self.work_dir) | ||
14 | |||
15 | def tear_down(self): | ||
16 | self.target.run('rm -rf %s' % self.work_dir) | ||
17 | |||
18 | def test_dldt_mo_can_create_ir(self, mo_exe_dir, mo_files_dir): | ||
19 | return self.target.run('python3 %s --input_model %s --input_proto %s --output_dir %s --data_type FP16' % | ||
20 | (os.path.join(mo_exe_dir, self.mo_exe), | ||
21 | os.path.join(mo_files_dir, self.mo_input_files['model']), | ||
22 | os.path.join(mo_files_dir, self.mo_input_files['prototxt']), | ||
23 | self.work_dir)) | ||
diff --git a/lib/oeqa/runtime/miutils/tests/squeezenet_model_download_test.py b/lib/oeqa/runtime/miutils/tests/squeezenet_model_download_test.py deleted file mode 100644 index a3e46a0a..00000000 --- a/lib/oeqa/runtime/miutils/tests/squeezenet_model_download_test.py +++ /dev/null | |||
@@ -1,25 +0,0 @@ | |||
1 | class SqueezenetModelDownloadTest(object): | ||
2 | download_files = {'squeezenet1.1.prototxt': 'https://raw.githubusercontent.com/DeepScale/SqueezeNet/a47b6f13d30985279789d08053d37013d67d131b/SqueezeNet_v1.1/deploy.prototxt', | ||
3 | 'squeezenet1.1.caffemodel': 'https://github.com/DeepScale/SqueezeNet/raw/a47b6f13d30985279789d08053d37013d67d131b/SqueezeNet_v1.1/squeezenet_v1.1.caffemodel'} | ||
4 | |||
5 | def __init__(self, target, work_dir): | ||
6 | self.target = target | ||
7 | self.work_dir = work_dir | ||
8 | |||
9 | def setup(self): | ||
10 | self.target.run('mkdir -p %s' % self.work_dir) | ||
11 | |||
12 | def tear_down(self): | ||
13 | self.target.run('rm -rf %s' % self.work_dir) | ||
14 | |||
15 | def test_can_download_squeezenet_model(self, proxy_port): | ||
16 | return self.target.run('cd %s; wget %s -e https_proxy=%s' % | ||
17 | (self.work_dir, | ||
18 | self.download_files['squeezenet1.1.caffemodel'], | ||
19 | proxy_port)) | ||
20 | |||
21 | def test_can_download_squeezenet_prototxt(self, proxy_port): | ||
22 | return self.target.run('cd %s; wget %s -e https_proxy=%s' % | ||
23 | (self.work_dir, | ||
24 | self.download_files['squeezenet1.1.prototxt'], | ||
25 | proxy_port)) | ||