| 25 | let tf; |
| 26 | |
| 27 | function parseArgs() { |
| 28 | const parser = new argparse.ArgumentParser({ |
| 29 | description: |
| 30 | 'TensorFlow.js Quantization Example: Evaluating an MNIST Model', |
| 31 | addHelp: true |
| 32 | }); |
| 33 | parser.addArgument('dataset', { |
| 34 | type: 'string', |
| 35 | help: 'Name of the dataset ({mnist, fashion-mnist}).' |
| 36 | }); |
| 37 | parser.addArgument('modelSavePath', { |
| 38 | type: 'string', |
| 39 | help: 'Path at which the model to be evaluated is saved.' |
| 40 | }); |
| 41 | parser.addArgument('--batchSize', { |
| 42 | type: 'int', |
| 43 | defaultValue: 128, |
| 44 | help: 'Batch size to be used during model training.' |
| 45 | }); |
| 46 | parser.addArgument('--gpu', { |
| 47 | action: 'storeTrue', |
| 48 | help: 'Use tfjs-node-gpu for evaluation (requires CUDA-enabled ' + |
| 49 | 'GPU and supporting drivers and libraries.' |
| 50 | }); |
| 51 | return parser.parseArgs(); |
| 52 | } |
| 53 | |
| 54 | async function main() { |
| 55 | const args = parseArgs(); |