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| 1 | +# Run via: `time CRYSTAL_WORKERS=24 crystal run examples/rnn_simple_manager_example.cr -Dpreview_mt --release > tmp/log.txt` |
| 2 | +# (Adjust the 'CRYSTAL_WORKERS=24' as desired.) |
| 3 | +# Follow `tmp/log.txt' in your IDE or in console (i.e.: `tail -f tmp/log.txt`) |
| 4 | +# Be on the look out for high `percent_correct: x of x` in the 'tmp/log.txt file' |
| 5 | +# Monitor your Ram and CPU usage! |
| 6 | +# (This seems to stablize at around about 4 Gb and 1/3 of my system's AMD Ryzen 7 1700X CPU.) |
| 7 | +# NOTE: Training results look promising, but tend to be more successful towards the 'more future' side of the outputs. |
| 8 | +# So, implement bi-directional RNN in the next phase, in hopes of balancing out the successfulness of the |
| 9 | +# 'less future' vs 'more future' guesses. |
| 10 | + |
| 11 | +require "./../src/ai4cr" |
| 12 | + |
| 13 | +class Runner |
| 14 | + getter file_path : String |
| 15 | + |
| 16 | + def initialize(@file_path) |
| 17 | + end |
| 18 | + |
| 19 | + def compare_successive_training_rounds( |
| 20 | + io_offset, time_col_qty, |
| 21 | + inputs_sequence, outputs_sequence, |
| 22 | + hidden_layer_qty, hidden_size_given, |
| 23 | + qty_new_members, |
| 24 | + my_breed_manager, max_members, |
| 25 | + train_qty, |
| 26 | + io_set_text_file |
| 27 | + ) |
| 28 | + puts |
| 29 | + puts "v"*40 |
| 30 | + puts "successive generations (should) score better (?) .. max_members: #{max_members} .. start" |
| 31 | + when_before = Time.local |
| 32 | + puts "when_before: #{when_before}" |
| 33 | + puts "file_path: #{file_path}" |
| 34 | + puts |
| 35 | + |
| 36 | + params = Ai4cr::NeuralNetwork::Rnn::RnnSimple.new( |
| 37 | + io_offset: io_offset, |
| 38 | + time_col_qty: time_col_qty, |
| 39 | + input_size: inputs_sequence.first.first.size, |
| 40 | + output_size: outputs_sequence.first.first.size, |
| 41 | + hidden_layer_qty: hidden_layer_qty, |
| 42 | + hidden_size_given: hidden_size_given |
| 43 | + ).config |
| 44 | + |
| 45 | + puts "inputs_sequence.size: #{inputs_sequence.size}" |
| 46 | + puts "inputs_sequence.first.size: #{inputs_sequence.first.size}" |
| 47 | + puts "inputs_sequence.first.first.size: #{inputs_sequence.first.first.size}" |
| 48 | + puts "inputs_sequence.class: #{inputs_sequence.class}" |
| 49 | + puts "outputs_sequence.class: #{outputs_sequence.class}" |
| 50 | + puts "params: #{params}" |
| 51 | + |
| 52 | + puts "* build/train teams" |
| 53 | + puts "\n * first_gen_members (building)..." |
| 54 | + first_gen_members = my_breed_manager.build_team(qty_new_members, **params) |
| 55 | + puts "\n * second_gen_members (breeding and training; after training first_gen_members)..." |
| 56 | + second_gen_members = my_breed_manager.train_team_using_sequence(inputs_sequence, outputs_sequence, first_gen_members, io_set_text_file, max_members, train_qty) # , block_logger: train_team_using_sequence_logger) |
| 57 | + puts "\n * third_gen_members (breeding and training; after training second_gen_members) ..." |
| 58 | + third_gen_members = my_breed_manager.train_team_using_sequence(inputs_sequence, outputs_sequence, second_gen_members, io_set_text_file, max_members, train_qty) # , block_logger: train_team_using_sequence_logger) |
| 59 | + |
| 60 | + puts "* score and stats ..." |
| 61 | + p "." |
| 62 | + first_gen_members_scored = first_gen_members.map { |member| member.error_stats.score }.sum / qty_new_members |
| 63 | + first_gen_members_stats = first_gen_members.map { |member| member.error_hist_stats } |
| 64 | + |
| 65 | + p "." |
| 66 | + second_gen_members_scored = second_gen_members.map { |member| member.error_stats.score }.sum / qty_new_members |
| 67 | + second_gen_members_stats = second_gen_members.map { |member| member.error_hist_stats } |
| 68 | + |
| 69 | + p "." |
| 70 | + third_gen_members_scored = third_gen_members.map { |member| member.error_stats.score }.sum / qty_new_members |
| 71 | + third_gen_members_stats = third_gen_members.map { |member| member.error_hist_stats } |
| 72 | + |
| 73 | + puts |
| 74 | + puts "#train_team_using_sequence (text from Bible):" |
| 75 | + puts |
| 76 | + puts "first_gen_members_scored: #{first_gen_members_scored}" |
| 77 | + first_gen_members_stats.each { |m| puts m } |
| 78 | + |
| 79 | + puts |
| 80 | + puts "second_gen_members_scored: #{second_gen_members_scored}" |
| 81 | + second_gen_members_stats.each { |m| puts m } |
| 82 | + |
| 83 | + puts |
| 84 | + puts "third_gen_members_scored: #{third_gen_members_scored}" |
| 85 | + third_gen_members_stats.each { |m| puts m } |
| 86 | + |
| 87 | + when_after = Time.local |
| 88 | + puts "when_after: #{when_after}" |
| 89 | + when_delta = when_after - when_before |
| 90 | + puts "when_delta: #{(when_delta.total_seconds / 60.0).round(1)} minutes |
| 91 | + " |
| 92 | + puts |
| 93 | + puts "successive generations score better (?) .. max_members: #{max_members} .. end" |
| 94 | + puts "-"*40 |
| 95 | + puts |
| 96 | + end |
| 97 | +end |
| 98 | + |
| 99 | +#### |
| 100 | + |
| 101 | +my_breed_manager = Ai4cr::NeuralNetwork::Rnn::RnnSimpleManager.new |
| 102 | + |
| 103 | +file_path = "./spec_bench/support/neural_network/data/bible_utf/eng-web_002_GEN_01_read.txt" |
| 104 | +file_type_raw = Ai4cr::Utils::IoData::FileType::Raw |
| 105 | +prefix_raw_qty = 0 |
| 106 | +prefix_raw_char = " " |
| 107 | +default_to_bit_size = 8 |
| 108 | + |
| 109 | +io_set_text_file = Ai4cr::Utils::IoData::TextFileIodBits.new( |
| 110 | + file_path, file_type_raw, |
| 111 | + prefix_raw_qty, prefix_raw_char, |
| 112 | + default_to_bit_size |
| 113 | +) |
| 114 | + |
| 115 | +# re 'compare_successive_training_rounds' |
| 116 | +time_col_qty = 6 # 25 |
| 117 | +io_offset = time_col_qty |
| 118 | +ios = io_set_text_file.iod_to_io_set_with_offset_time_cols(time_col_qty, io_offset) |
| 119 | + |
| 120 | +inputs_sequence = ios[:input_set] |
| 121 | +outputs_sequence = ios[:output_set] |
| 122 | + |
| 123 | +hidden_layer_qty = 3 |
| 124 | +hidden_size_given = 100 # 100 # 200 |
| 125 | + |
| 126 | +max_members = 10 |
| 127 | +qty_new_members = max_members |
| 128 | + |
| 129 | +train_qty = 2 |
| 130 | + |
| 131 | +puts |
| 132 | +puts "*"*40 |
| 133 | +puts "my_breed_manager: #{my_breed_manager}" |
| 134 | +puts "io_set_text_file: #{io_set_text_file}" |
| 135 | +puts "v"*40 |
| 136 | +puts "io_set_text_file.raw: #{io_set_text_file.raw}" |
| 137 | +puts "^"*40 |
| 138 | +puts |
| 139 | +puts "io_set_text_file.raw.size: #{io_set_text_file.raw.size}" |
| 140 | +puts "io_set_text_file.raw.size: #{io_set_text_file.raw.class}" |
| 141 | +puts |
| 142 | +puts "io_set_text_file.iod.size: #{io_set_text_file.iod.size}" |
| 143 | +puts "io_set_text_file.iod.class: #{io_set_text_file.iod.class}" |
| 144 | +puts "io_set_text_file.iod.first.size: #{io_set_text_file.iod.first.size}" |
| 145 | +puts "io_set_text_file.iod.first.class: #{io_set_text_file.iod.first.class}" |
| 146 | +puts "io_set_text_file.iod.first.first.class: #{io_set_text_file.iod.first.first.class}" |
| 147 | + |
| 148 | +puts "-"*40 |
| 149 | +puts |
| 150 | + |
| 151 | +r = Runner.new(file_path) |
| 152 | + |
| 153 | +r.compare_successive_training_rounds( |
| 154 | + io_offset, time_col_qty, |
| 155 | + inputs_sequence, outputs_sequence, |
| 156 | + hidden_layer_qty, hidden_size_given, |
| 157 | + qty_new_members, |
| 158 | + my_breed_manager, max_members, |
| 159 | + train_qty, |
| 160 | + io_set_text_file |
| 161 | +) |
| 162 | + |
| 163 | +r.compare_successive_training_rounds( |
| 164 | + io_offset, time_col_qty, |
| 165 | + inputs_sequence, outputs_sequence, |
| 166 | + hidden_layer_qty, hidden_size_given, |
| 167 | + qty_new_members, |
| 168 | + my_breed_manager, max_members, |
| 169 | + train_qty, |
| 170 | + io_set_text_file |
| 171 | +) |
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