51 lines
2.1 KiB
Markdown
51 lines
2.1 KiB
Markdown
# Bert Benchmark Python* Sample {#openvino_inference_engine_ie_bridges_python_sample_bert_benchmark_README}
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This sample demonstrates how to estimate performace of a Bert model using Asynchronous Inference Request API. Unlike [demos](@ref omz_demos) this sample doesn't have configurable command line arguments. Feel free to modify sample's source code to try out different options.
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The following Python\* API is used in the application:
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| Feature | API | Description |
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| :--- | :--- | :--- |
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| OpenVINO Runtime Version | [openvino.runtime.get_version] | Get Openvino API version |
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| Basic Infer Flow | [openvino.runtime.Core], [openvino.runtime.Core.compile_model] | Common API to do inference: compile a model |
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| Asynchronous Infer | [openvino.runtime.AsyncInferQueue], [openvino.runtime.AsyncInferQueue.start_async], [openvino.runtime.AsyncInferQueue.wait_all] | Do asynchronous inference |
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| Model Operations | [openvino.runtime.CompiledModel.inputs] | Get inputs of a model |
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## How It Works
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The sample downloads a model and a tokenizer, export the model to onnx, reads the exported model and reshapes it to enforce dynamic inpus shapes, compiles the resulting model, downloads a dataset and runs benchmarking on the dataset.
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You can see the explicit description of
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each sample step at [Integration Steps](../../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
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## Running
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Install the `openvino` Python package:
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```
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python -m pip install openvino
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```
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Install packages from `requirements.txt`:
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```
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python -m pip install -r requirements.txt
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```
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Run the sample
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```
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python bert_benchmark.py
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```
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## Sample Output
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The sample outputs how long it takes to process a dataset.
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## See Also
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- [Integrate the OpenVINO™ Runtime with Your Application](../../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
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- [Using OpenVINO™ Toolkit Samples](../../../../docs/OV_Runtime_UG/Samples_Overview.md)
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- [Model Downloader](@ref omz_tools_downloader)
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- [Model Optimizer](../../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)
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