DemesneGH commented on code in PR #173: URL: https://github.com/apache/incubator-teaclave-trustzone-sdk/pull/173#discussion_r1995444648
########## examples/mnist-rs/host/src/commands/train.rs: ########## @@ -0,0 +1,130 @@ +// Licensed to the Apache Software Foundation (ASF) under one +// or more contributor license agreements. See the NOTICE file +// distributed with this work for additional information +// regarding copyright ownership. The ASF licenses this file +// to you under the Apache License, Version 2.0 (the +// "License"); you may not use this file except in compliance +// with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, +// software distributed under the License is distributed on an +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +// KIND, either express or implied. See the License for the +// specific language governing permissions and limitations +// under the License. + +use std::io::{Cursor, Read}; +use std::path::PathBuf; + +use crate::tee::Trainer; +use optee_teec::Context; +use proto::Image; +use rand::seq::SliceRandom; + +#[derive(clap::Parser, Debug)] +pub struct Args { + #[arg(short, long, default_value_t = 6)] + num_epochs: usize, + #[arg(short, long, default_value_t = 64)] + batch_size: usize, + #[arg(short, long, default_value_t = 0.0001)] + learning_rate: f64, + #[arg(short, long)] + output: Option<String>, +} + +fn convert_datasets(images: &Vec<Image>, labels: &[u8]) -> Vec<(Image, u8)> { + let mut datasets: Vec<(Image, u8)> = images + .iter() + .map(|v| v.to_owned()) + .zip(labels.iter().copied()) + .collect(); + datasets.shuffle(&mut rand::rng()); + datasets +} + +pub fn execute(args: &Args) -> anyhow::Result<()> { + // Initialize trainer + let mut ctx = Context::new()?; + let mut trainer = Trainer::new(&mut ctx, args.learning_rate)?; + // Download mnist data + let data = check_download_mnist_data()?; + // Prepare datasets + let train_datasets = convert_datasets(&data.train_data, &data.train_labels); + let valid_datasets = convert_datasets(&data.test_data, &data.test_labels); + // Training loop, Originally inspired by burn/crates/custom-training-loop + for epoch in 1..args.num_epochs + 1 { + for (iteration, data) in train_datasets.chunks(args.batch_size).enumerate() { + let images: Vec<Image> = data.iter().map(|v| v.0).collect(); + let labels: Vec<u8> = data.iter().map(|v| v.1).collect(); + let output = trainer.train(&images, &labels)?; + println!( + "[Train - Epoch {} - Iteration {}] Loss {:.3} | Accuracy {:.3} %", + epoch, iteration, output.loss, output.accuracy, + ); + } + + for (iteration, data) in valid_datasets.chunks(args.batch_size).enumerate() { + let images: Vec<Image> = data.iter().map(|v| v.0).collect(); + let labels: Vec<u8> = data.iter().map(|v| v.1).collect(); + let output = trainer.valid(&images, &labels)?; + println!( + "[Valid - Epoch {} - Iteration {}] Loss {:.3} | Accuracy {:.3} %", + epoch, iteration, output.loss, output.accuracy, + ); + } + } + // Export the model to the given path + match args.output.as_ref() { + None => {} + Some(output_path) => { + let record = trainer.export()?; + println!("Export record to \"{}\"", output_path); + std::fs::write(output_path, &record)?; + } + } + println!("Train Success"); + Ok(()) +} + +fn check_download_mnist_data() -> anyhow::Result<rust_mnist::Mnist> { + const DATA_PATH: &str = "./data/"; + + let folder = PathBuf::from(DATA_PATH); + if !folder.exists() { + std::fs::create_dir_all(&folder)?; + } + for (filename, gz_size, flat_size) in [ + ("train-images-idx3-ubyte", 9912422, 47040016), + ("train-labels-idx1-ubyte", 28881, 60008), + ("t10k-images-idx3-ubyte", 1648877, 7840016), + ("t10k-labels-idx1-ubyte", 4542, 10008), + ] + .iter() Review Comment: How about change to this for clarification: ``` // Expected file properties (name, compressed_size, uncompressed_size) for verification after download const EXPECTED_MNIST_FILE_SIZES: [(&str, u64, u64); 4] = [ ("train-images-idx3-ubyte", 9912422, 47040016), ("train-labels-idx1-ubyte", 28881, 60008), ("t10k-images-idx3-ubyte", 1648877, 7840016), ("t10k-labels-idx1-ubyte", 4542, 10008), ]; // Verify if all files are correctly downloaded for (filename, gz_size, flat_size) in EXPECTED_MNIST_FILE_SIZES.iter() { ... } ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: dev-unsubscr...@teaclave.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@teaclave.apache.org For additional commands, e-mail: dev-h...@teaclave.apache.org
