1029 add octuple
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@ -96,7 +96,7 @@ def prepare_model_and_dataset_from_config(config: DictConfig, metadata_path:str,
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num_features = config.nn_params.num_features
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# get vocab
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vocab_name = {'remi':'LangTokenVocab', 'cp':'MusicTokenVocabCP', 'nb':'MusicTokenVocabNB'}
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vocab_name = {'remi':'LangTokenVocab', 'cp':'MusicTokenVocabCP', 'nb':'MusicTokenVocabNB', 'oct':'MusicTokenVocabOct'}
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selected_vocab_name = vocab_name[encoding_scheme]
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vocab = getattr(vocab_utils, selected_vocab_name)(
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@ -477,7 +477,7 @@ class Evaluator:
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except KeyError:
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in_beat_resolution = 4 # Default resolution if dataset is not found
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midi_decoder_dict = {'remi':'MidiDecoder4REMI', 'cp':'MidiDecoder4CP', 'nb':'MidiDecoder4NB'}
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midi_decoder_dict = {'remi':'MidiDecoder4REMI', 'cp':'MidiDecoder4CP', 'nb':'MidiDecoder4NB', 'oct':'MidiDecoder4Octuple'}
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decoder_name = midi_decoder_dict[encoding_scheme]
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decoder = getattr(decoding_utils, decoder_name)(vocab=self.vocab, in_beat_resolution=in_beat_resolution, dataset_name=self.config.dataset)
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@ -499,7 +499,7 @@ class Evaluator:
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except KeyError:
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in_beat_resolution = 4 # Default resolution if dataset is not found
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midi_decoder_dict = {'remi':'MidiDecoder4REMI', 'cp':'MidiDecoder4CP', 'nb':'MidiDecoder4NB'}
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midi_decoder_dict = {'remi':'MidiDecoder4REMI', 'cp':'MidiDecoder4CP', 'nb':'MidiDecoder4NB', 'oct':'MidiDecoder4Octuple'}
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decoder_name = midi_decoder_dict[encoding_scheme]
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decoder = getattr(decoding_utils, decoder_name)(vocab=self.vocab, in_beat_resolution=in_beat_resolution, dataset_name=self.config.dataset)
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@ -509,7 +509,7 @@ class Evaluator:
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generated_sample = reverse_shift_and_pad_for_tensor(generated_sample, first_pred_feature)
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decoder(generated_sample, output_path=str(save_dir / f"{tune_name}.mid"))
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prompt = self.model.decoder._prepare_inference(self.model.decoder.net.start_token, 0, tuneidx, num_target_measures=8)
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prompt = self.model.decoder._prepare_inference(self.model.decoder.net.start_token, 0, tuneidx, num_target_measures=num_target_measures)
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decoder(prompt, output_path=str(save_dir / f"{tune_name}_prompt.mid"))
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def generate_samples_unconditioned(self, save_dir, num_samples, first_pred_feature, sampling_method, threshold, temperature, generation_length=3072,uid=1):
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@ -520,7 +520,7 @@ class Evaluator:
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in_beat_resolution = in_beat_resolution_dict[self.config.dataset]
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except KeyError:
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in_beat_resolution = 4 # Default resolution if dataset is not found
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midi_decoder_dict = {'remi':'MidiDecoder4REMI', 'cp':'MidiDecoder4CP', 'nb':'MidiDecoder4NB'}
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midi_decoder_dict = {'remi':'MidiDecoder4REMI', 'cp':'MidiDecoder4CP', 'nb':'MidiDecoder4NB', 'oct':'MidiDecoder4Octuple'}
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decoder_name = midi_decoder_dict[encoding_scheme]
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decoder = getattr(decoding_utils, decoder_name)(vocab=self.vocab, in_beat_resolution=in_beat_resolution, dataset_name=self.config.dataset)
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