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- cfg
  - datasets_config.json
    1.1 kB
  - model_configs
    - pytorch_transformer
      - ms_badura_single-cof_midilike_tokeniser.json
        1.1 kB
      - ms_badura_single-cof_notelike_tokeniser.json
        1.1 kB
      - ms_badura_single-large_vocabulary_cof_notelike_tokeniser.json
        1.1 kB
      - ms_badura_single-large_vocabulary_notelike_tokeniser.json
        1.1 kB
      - ms_badura_single-relative_midilike_tokeniser.json
        1.1 kB
      - ms_badura_single-relative_notelike_tokeniser.json
        1.1 kB
      - ms_badura_single-standard_midilike_tokeniser.json
        1.1 kB
      - ms_badura_single-standard_notelike_tokeniser.json
        1.1 kB
  - system_config.json
    2.1 kB
- paul3
  - commands
    - command_convert.py
      38 Bytes
    - command_data.py
      5.2 kB
    - command_infer.py
      5.2 kB
    - command_metrics.py
      3.4 kB
    - command_shared.py
      5.6 kB
    - command_train.py
      8.2 kB
  - data
    - base_dataset.py
      5.3 kB
    - music
      - music_dataset.py
        1.3 kB
      - music_processing.py
        7.4 kB
      - music_sanitisation.py
        9.2 kB
      - music_storage.py
        4.9 kB
    - text
      - text_dataset.py
        818 Bytes
      - text_processing_storage.py
        4.8 kB
  - enumerations
    - attention_output_mode.py
      214 Bytes
    - dataset_type.py
      84 Bytes
    - hyperparameter_type.py
      722 Bytes
    - info_type.py
      171 Bytes
    - mask_type.py
      156 Bytes
    - model_type.py
      213 Bytes
    - multi_head_attention_callback_mode.py
      71 Bytes
  - exceptions
    - data_exception.py
      93 Bytes
    - hyperparameter_exception.py
      129 Bytes
    - model_exception.py
      92 Bytes
  - main
    - argument_handling.py
      8.0 kB
    - distributed.py
      1.5 kB
    - main.py
      952 Bytes
  - management
    - manager_base.py
      3.3 kB
    - manager_inference.py
      8.6 kB
    - manager_metrics.py
      2.8 kB
    - manager_train.py
      16.4 kB
  - models
    - base_classes.py
      776 Bytes
    - museformer_single_stream.py
      8.7 kB
    - pytorch_hacked_single_stream_transformer.py
      11.3 kB
    - pytorch_single_stream_transformer.py
      4.1 kB
  - network
    - attention.py
      24.5 kB
    - functions
      - relative_information_injection_kernel.py
        21.1 kB
    - layers.py
      4.6 kB
    - layouting.py
      10.4 kB
    - learning_rates.py
      2.2 kB
    - loss.py
      2.8 kB
    - modules.py
      8.1 kB
  - utils
    - inference_constrainer.py
      1.6 kB
    - istarmap.py
      669 Bytes
    - paul_logging.py
      1.2 kB
    - settings.py
      8.4 kB
    - triton_operation_holder.py
      5.2 kB
    - utility.py
      7.2 kB
- pyproject.toml
  840 Bytes

code.zip