shainet training

.gitignore

@@ -6,5 +6,12 @@
 app
 worker
 bundle
+mass_nn_training
+script
+train_network
 .env
-.env.test
+.env.test
+*.csv
+/nn_training/*.log
+/nn_training/*.nn
+/nn_training/old/

spec/server_spec.cr

@@ -7,7 +7,8 @@ SUPPORTED_STRATEGIES = [
   "blast_random_valid",
   "chase_closest_food",
   "chase_random_food",
-  "cautious_carol"
+  "cautious_carol",
+  "cc_nn"
 ]
 
 describe "Crystal Snake Battlesnake endpoints for all supported strategies" do

src/battle_snake/context.cr

@@ -248,4 +248,31 @@ class BattleSnake::Context
       board.snakes.delete(snake)
     end
   end
+
+  def to_nn_input
+    turn_data = Array.new(121, 0.as(Int32 | String))
+    board.food.each do |food|
+      offset = food.x + (food.y * 11)
+      turn_data[offset] = 10
+    end
+
+    snake_counter = 100
+    you.body.each do |point|
+      offset = point.x + (point.y * 11)
+      turn_data[offset] = snake_counter
+      snake_counter += 1
+    end
+
+    enemies.each_with_index do |snake, i|
+      snake_counter = 200 + (i * 100)
+      snake.body.each do |point|
+        offset = point.x + (point.y * 11)
+        turn_data[offset] = snake_counter
+        snake_counter += 1
+      end
+      snake.body
+    end
+
+    turn_data.map(&.to_i32)
+  end
 end

src/mass_nn_training.cr

@@ -0,0 +1,45 @@
+require "dotenv"
+Dotenv.load if File.exists?(".env")
+require "../config/**"
+
+# Shainet
+layer_neurons_opts = [35, 60, 75]
+learning_rate_opts = [0.005, 0.2, 0.7]
+momentum_opts = [0.05, 0.1, 0.3]
+error_threshold = 0.0001
+option_permutations = [] of Hash(Symbol, Float64)
+27.times do |i|
+  hash = Hash(Symbol, Float64).new
+  hash[:neurons] = layer_neurons_opts[i % 3]
+  hash[:learning_rate] = learning_rate_opts[(i / 3).to_i % 3]
+  hash[:momentum] = momentum_opts[(i / 9).to_i % 3]
+  option_permutations << hash
+end
+
+Log.info { "#{option_permutations.size} options" }
+options_channel = Channel(Hash(Symbol, Float64)).new
+complete_channel = Channel(Int32).new
+
+5.times do |i|
+  spawn do
+    loop do
+      [200, 1000, 15000].shuffle.each do |epochs|
+        options = options_channel.receive
+        log_name = "./nn_training/cc_nn_#{options[:neurons].to_i}n_#{options[:learning_rate]}l_#{options[:momentum]}m_#{epochs}e_#{error_threshold}t.log"
+        command = "./train_network -n #{options[:neurons].to_i} -l #{options[:learning_rate]} -m #{options[:momentum]} -e #{epochs} -t #{error_threshold} | tee #{log_name}"
+        system command
+      end
+
+      complete_channel.send(i)
+    end
+  end
+end
+
+# Delivery permutations
+spawn { option_permutations.shuffle.each { |options| options_channel.send(options) } }
+
+# Wait for permutations processing
+27.times do |i|
+  res = complete_channel.receive
+  Log.info { "[root] -> Finished processing from #{res}" }
+end

src/sam.cr

@@ -11,7 +11,7 @@ load_dependencies "jennifer"
 task "dev" do
   sentry = Sentry::ProcessRunner.new(
     display_name: "App",
-    build_command: "crystal build ./src/app.cr",
+    build_command: "crystal build ./src/app.cr -Dpreview_mt",
     run_command: "./app",
     run_args: ["-p", "8080"],
     files: [ "./src/**/*", "./config/*.cr" ]
@@ -25,7 +25,7 @@ task "test" do
 end
 
 task "script" do
-  system "crystal run ./src/script.cr"
+  system "crystal run ./src/script.cr -Dpreview_mt"
 end
 
 Sam.help