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| nn-meter_builder_examples | ||
| nn-meter_quick_start | ||
| README.md | ||
| nn-meter_dataset_for_gnn.ipynb | ||
| nn-meter_predictor_for_bench_dataset.ipynb | ||
| nn-meter_predictor_for_different_model_format.ipynb | ||
README.md
Examples for nn-Meter
In this folder, we provide several examples to show the usage of nn-Meter package.
The first example 1. Use nn-Meter Predictor for models with different format shows the basic python binding usage of nn-meter with models with different format of Tensorflow, PyTorch and ONNX model.
To evaluate the effectiveness of a prediction model on an arbitrary DNN model, we need a representative dataset that covers a large prediction scope. nn-Meter collects and generates 26k CNN models. (Please refer the paper for the dataset generation method.)
We release the dataset, and provide an interface of nn_meter.dataset for users to get access to the dataset. Users can also download the data from the Download Link on their own.
Example 2. Use nn-Meter with the bench dataset shows how to use nn-Meter to predict latency for the bench dataset.
Since the dataset is encoded in a graph format, we also provide an example 3. Use nn-Meter bench dataset for GNN training of using GNN to predict the model latency with the bench dataset.
Finally, we provide more hardware-ware NAS examples in NNI.
Examples list
- Use nn-Meter for models with different format
- Use nn-Meter with the bench dataset
- Use bench dataset for GNN training
- Use nn-Meter to construct latency constraint in SPOS NAS
- Use nn-Meter to construct latency penalty in ProxylessNAS