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author | Anuj Mittal <anuj.mittal@intel.com> | 2019-09-11 22:00:04 +0800 |
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committer | Anuj Mittal <anuj.mittal@intel.com> | 2019-09-24 10:24:42 +0800 |
commit | 7aef51c962c023f27e3fcda4c2419f1ced9942b9 (patch) | |
tree | 3467940f052b4a8c154e18af31dd80ff99b85397 /dynamic-layers/openembedded-layer/recipes-support | |
parent | 70d414ce566d07f1fe09ccf7e945ce42c1e73dd9 (diff) | |
download | meta-intel-7aef51c962c023f27e3fcda4c2419f1ced9942b9.tar.gz |
dldt-model-optimizer: add recipe
Model Optimizer is a cross-platform command-line tool that facilitates
the transition between the training and deployment environment,
performs static model analysis, and adjusts deep learning models for
optimal execution on end-point target devices.
For more details, see:
https://software.intel.com/en-us/openvino-toolkit/deep-learning-cv
Since the recipe requires bits from meta-python, move this to the
dynamic layers section and add meta-python to BBFILES_DYNAMIC.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Diffstat (limited to 'dynamic-layers/openembedded-layer/recipes-support')
0 files changed, 0 insertions, 0 deletions