tf 4.fucking0

Author: TomtheCoder2

.idea/.gitignore

@@ -2,6 +2,7 @@
 name = "phoenix_gui"
 version = "0.1.0"
 edition = "2021"
+default-run = "phoenix_gui"
 
 # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
 
@@ -43,6 +44,7 @@ special-fun = { version = "0.2.0" }
 csv = "1.3.0"
 bincode = "1.3.3"
 lz4-compression = "0.7.0"
+phoenix-rec = "0.2.5"
 
 [features]
 #default = ["blas", "gui"]

Cargo.toml

@@ -1,4 +1,4 @@
-use ai::data::get_data;
+use phoenix_gui::data::get_data;
 
 fn covariance(x: Vec<f64>, y: Vec<f64>) -> f64 {
     let x_mean = x.iter().sum::<f64>() / x.len() as f64;

src/bin/cov_test.rs

@@ -2,9 +2,10 @@ use std::fs::File;
 use std::io::Write;
 use std::path::Path;
 use std::process::exit;
+
 use lz4_compression::compress::compress;
+
 use phoenix_gui::data_sets::mnist::MNist;
-use phoenix_gui::data_sets::TestSet;
 
 fn main() {
     let mut data_set = MNist::default();
@@ -15,7 +16,10 @@ fn main() {
     // let decompressed_data = decompress(&compressed_data).unwrap();
     println!("Size after compression: {} bytes", compressed_data.len());
     // write to file
-    write_to_file(&"./src/resources/mnist_data_compressed.bin".to_string(), compressed_data);
+    write_to_file(
+        &"./src/resources/mnist_data_compressed.bin".to_string(),
+        compressed_data,
+    );
     write_to_file(&"./src/resources/mnist_data.bin".to_string(), encoded);
     // MNist::print_data(data_set.train_input);
 }
@@ -41,4 +45,4 @@ pub fn write_to_file(filename: &String, content: Vec<u8>) {
             exit(1);
         }
     };
-}
+}

src/bin/mnist_read_test.rs

@@ -13,4 +13,4 @@ fn main() {
     };
     let mut mnist = MNist::default();
     mnist.run(config);
-}
+}

src/bin/mnist_run.rs

@@ -1,13 +1,8 @@
+use phoenix_gui::matrix::Matrix;
 
-
-use ai::matrix::Matrix;
-
-
-use ai::neural_network::NeuralNetwork;
+use phoenix_gui::neural_network::NeuralNetwork;
 use rand::Rng;
 
-
-
 fn main() {
     let layer_sizes = vec![2, 400, 20, 4000, 3, 2];
     println!("layer_sizes: {:?}", layer_sizes);
@@ -72,8 +67,3 @@ fn main() {
         (time2 - time1).as_secs()
     );
 }
-
-#[cfg(any(not(feature = "nn"), not(feature = "gui")))]
-fn main() {
-    println!("This example requires the \"nn\" and \"gui\" features.");
-}

src/bin/nn_test.rs

@@ -6,7 +6,6 @@ use phoenix_gui::gui::app::PhoenixGUI;
 
 const ICON: &[u8; 13450] = include_bytes!("../resources/phoenix_icon.png");
 
-
 // When compiling natively:
 #[cfg(not(target_arch = "wasm32"))]
 fn main() -> eframe::Result<()> {
@@ -38,14 +37,11 @@ fn main() -> eframe::Result<()> {
     )
 }
 
-
-
 #[cfg(target_arch = "wasm32")]
 fn main() {
     println!("Phoenix is not compiled with GUI support. Try to compile with --all-features.");
 }
 
-
 #[cfg(not(target_arch = "wasm32"))]
 fn load_icon() -> eframe::IconData {
     let (icon_rgba, icon_width, icon_height) = {

src/bin/phoenix_gui.rs

@@ -1,11 +1,7 @@
-
 use crate::data::get_data;
-
 use crate::matrix::Matrix;
-
 use crate::neural_network::{NNConfig, NeuralNetwork};
 
-
 pub fn run(config: NNConfig) {
     // * 0 - black
     // * 1 - white

src/data_sets/blue_green.rs

@@ -1,14 +1,14 @@
-use std::process::exit;
 use crate::data_sets::TestSet;
 use crate::matrix::Matrix;
 use image::RgbImage;
+use std::process::exit;
 
 extern crate image;
 
+use crate::neural_network::{NNConfig, NeuralNetwork};
 use image::{ImageBuffer, Rgb};
 use lz4_compression::decompress::decompress;
 use serde::{Deserialize, Serialize};
-use crate::neural_network::{NeuralNetwork, NNConfig};
 
 #[derive(Deserialize, Serialize, Debug)]
 pub struct MNist {
@@ -105,7 +105,8 @@ impl MNist {
                             let value = matrix.get((i * 28 + j) as usize, 0);
                             let value = (value * 255.0) as u8;
                             // add col and row to the i j variable
-                            *image.get_pixel_mut(i + col * 28, j + row * 28) = Rgb([value, value, value]);
+                            *image.get_pixel_mut(i + col * 28, j + row * 28) =
+                                Rgb([value, value, value]);
                         }
                     }
                 }
@@ -154,6 +155,11 @@ impl MNist {
         nn.command_sender = config.command_sender;
         nn.update_interval = config.update_interval;
         // todo: dont clone
-        nn.train_epochs_m(self.train_input.clone(), self.train_target.clone(), config.batch_number, config.epochs);
+        nn.train_epochs_m(
+            self.train_input.clone(),
+            self.train_target.clone(),
+            config.batch_number,
+            config.epochs,
+        );
     }
 }

src/data_sets/mnist.rs

@@ -3,12 +3,11 @@ use crate::matrix::Matrix;
 pub mod blue_green;
 pub mod mnist;
 
-
 pub trait TestSet {
     // reads all the data from the file
     fn read(&mut self) {}
     // returns the inputs and targets
     fn get_data(&self) -> (Vec<Matrix>, Vec<Matrix>, f32) {
         (vec![], vec![], 0.0)
     }
-}
+}