Dmitry Kurtaev

> Hello, this check pipeline openvino_contrib-android-arm64 failed, the error message is not clear, how can I solve it? @IRONICBo, full error message below. I think it's unrelated to this PR....

Please remove `.png` file `modules/arm_plugin/demos/coco_detection_android_demo/app/src/main/res/drawable/openvino_icon.png`. It's better not to add binaries in source code.

Is `modules/arm_plugin/demos/coco_detection_android_demo/gradle/wrapper/gradle-wrapper.jar` a required file or can be generated by SDK?

@IRONICBo, please edit PR title to something like "[ARM plugin] GSoC 2022: Android demo application for ARM CPUs".

Please fix code style warning: https://github.com/openvinotoolkit/openvino_contrib/actions/runs/3037037332 (download patch from artifacts section)

@alvoron, @ilya-lavrenov, please prioritize this PR as this is a part of student's Google Summer Of Code challenge.

@alopez, Hi! Is there examples which I can run for efficiency analysis? To measure throughput of proposed backend.

Hi, @TyDunn! OpenVINO optimizes inference time (latency and throughput). So users might use this feature to improve efficiency of their pipelines. To confirm the speed up, I wanted to ask...

@TyDunn, latency of deep learning based pipeline (milliseconds per request or anything else). Any kind of example/demo which uses Hugging Face models inside RASA. Wanted to compare TensorFlow based inference...

@dakshvar22, @TyDunn, here what I've tried: ``` language: en pipeline: - name: WhitespaceTokenizer - name: LanguageModelFeaturizer use_openvino: true openvino_max_length: 9 - name: DIETClassifier constrain_similarities: true epochs: 100 - name: ResponseSelector...