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### Latency model
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_main file: `latency.py`_
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_depends on: PyTorch, [CVXPY](https://www.cvxpy.org/), matplotlib, numpy, [numba](http://numba.pydata.org/), scipy, [torch2trt](https://github.com/NVIDIA-AI-IOT/torch2trt/tree/e22844a449a880123435fce7e6444f1516ebbe60)_
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_depends on: [PyTorch](http://pytorch.org/), [CVXPY](https://www.cvxpy.org/), matplotlib, numpy, [numba](http://numba.pydata.org/), scipy, [torch2trt](https://github.com/NVIDIA-AI-IOT/torch2trt/tree/e22844a449a880123435fce7e6444f1516ebbe60)_
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* Generate training and validation samples
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### Network width search
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_main file: `train_nas.py`_
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_depends on: mxnet, numpy, numba_
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_depends on: [PyTorch](http://pytorch.org/), numpy, [numba](http://numba.pydata.org/)_
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* **Train a slimmable network and select a configuration with OWS.** See `-h` for optimization options.
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```Shell
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python train_nas.py --data /imagenet --latency-target 0.04 \

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