Add automated tests that:
- test that mkl_dnn shared libraries and headers can be used to
compile mkl_dnn sample application and execute it
- test that mkl_dnn various api (eg. convolution, deconv, rnn, etc)
are executable
- add extra packages checking for test compiling mkldnn application
Signed-off-by: Yeoh Ee Peng <ee.peng.yeoh@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Add sanity tests for inference engine:
- test inference engine c/cpp shared library
- test inference engine python api
- test inference engine cpu, gpu, myriad plugin
Add sanity tests for model optimizer
- test model optmizer can generate ir
Licenses:
- classification_sample.py
license: Apache 2.0
source: <install_root>/deployment_tools/inference_engine/samples/*
Signed-off-by: Yeoh Ee Peng <ee.peng.yeoh@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
With iucode-tool, identified the selected microcode to be used for
microcode update by the specific processor. Compared the updated
microcode from dmesg to the selected microcode, test failed if the
updated microcode revision does not match the available selected
microcode revision from the iucode-tool. Compute int from hexadecimal
for comparison based on Naveen Kumar suggestion.
Signed-off-by: Yeoh Ee Peng <ee.peng.yeoh@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
