Functions — github.com/ValentinVignal/midiGenerator

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Functions815 in github.com/ValentinVignal/midiGenerator

⨍ Functions 815◇ Types & classes 99 ↳ Endpoints 2

↓ 1 callersFunctionget_all_data

:param paths: list of path of the different folder of saved models (EpicPath) :return:

src/res/tb.py:28

↓ 1 callersFunctionget_all_file_paths

(directory)

zip.py:11

↓ 1 callersFunctionget_available_gpus

()

debug/check_gpu.py:6

↓ 1 callersMethodget_channel

(self)

src/Midi/Player/MidiPlayer.py:35

↓ 1 callersMethodget_checkpoint_path

:return:

src/NN/KerasNeuralNetwork.py:67

↓ 1 callersMethodget_config

(self)

src/NN/layers/gnc.py:140

↓ 1 callersMethodget_init_params

:return:

src/NN/Sequences/KerasSequence.py:72

↓ 1 callersFunctionget_input_tensorboard_command

:param names: list of strings :return:

src/res/tb.py:94

↓ 1 callersMethodget_instrument_from_input

(instrument)

src/Midi/Player/MidiPlayer.py:23

↓ 1 callersFunctionget_lambdas_loss

(lambdas_loss)

src/GlobalVariables/loss.py:6

↓ 1 callersMethodget_nb_elements_available_per_file

:return: all_len = List(nb_files)[int] the int is the number of steps available in the files

src/NN/Sequences/KerasSequence.py:245

↓ 1 callersMethodget_nb_elements_available_per_song

:return:

src/NN/Sequences/KerasSequence.py:260

↓ 1 callersMethodget_new_save_midis_path_i

(self, *args, **kwargs)

src/MidiGenerator/MGInit.py:288

↓ 1 callersMethodget_new_save_midis_path_i

set up a new save Midi path :return:

src/MidiGenerator/MGLogistic.py:48

↓ 1 callersMethodget_perms

:param input_shape: :return:

src/NN/layers/shapes.py:50

↓ 1 callersMethodget_token_path_file

(temp_folder)

src/NN/Sequences/FastSequence.py:73

↓ 1 callersMethodgreater_result

:param logs: :return:

src/NN/Callbacks/BestAccuracy.py:39

↓ 1 callersMethodgreater_result

:param logs: :return:

src/NN/Callbacks/CheckPoint.py:44

↓ 1 callersFunctionhas_genfiles

(root)

simpleWorkingScripts/diagnose_tensorboard.py:374

↓ 1 callersMethodindex_all

:param name: :return: The index of the dim in the list of all parameters (changeable and not changeable)

src/BayesianOpt/Dimensions.py:114

↓ 1 callersMethodinit_conv_blocks

(self, filters_list: type_filters_list, dropout: float = g.nn.dropout_c, time_stride: int = 1)

src/NN/layers/coder3D.py:34

↓ 1 callersMethodinit_conv_blocks

(self, filters_list: type_filters_list, dropout: float = g.nn.dropout_c, time_stride: int = 1,

src/NN/layers/coder3D.py:191

↓ 1 callersMethodinit_conv_blocks

(self, filters_list: type_filters_list, dropout: float = g.nn.dropout_c, time_stride: int = 1)

src/NN/layers/coder2D.py:34

↓ 1 callersMethodinit_conv_blocks

(self, filters_list: type_filters_list, dropout: float = g.nn.dropout_c, time_stride: int = 1,

src/NN/layers/coder2D.py:195

↓ 1 callersMethodinit_dense_blocks

(self, size_list: t.List, dropout: float = g.nn.dropout_d)

src/NN/layers/dense.py:79

↓ 1 callersMethodinit_lstm_blocks

(self, size_list, dropout=g.nn.dropout_r)

src/NN/layers/rnn.py:202

↓ 1 callersFunctionis_bad

(root)

simpleWorkingScripts/diagnose_tensorboard.py:378

↓ 1 callersFunctionis_equal_tuple

:param t1: :param t2: :param warn: :return:

src/NN/layers/shapes.py:163

↓ 1 callersFunctionletter2work_on

(letter)

src/GlobalVariables/midi_generator.py:31

↓ 1 callersMethodload

(self, sequence)

src/NN/Sequences/AllInMemorySequence.py:28

↓ 1 callersMethodload_weights

:param path: :return:

src/NN/KerasNeuralNetwork.py:443

↓ 1 callersFunctionmain

Entry point

train.py:13

↓ 1 callersFunctionmain

Entry point

compare_generation.py:8

↓ 1 callersFunctionmain

:param args: :return:

zip.py:26

↓ 1 callersFunctionmain

(args)

n-bo.py:16

↓ 1 callersFunctionmain

Entry point

generate.py:9

↓ 1 callersFunctionmain

Entry point

bayesian-opt.py:164

↓ 1 callersFunctionmain

(args)

controller.py:12

↓ 1 callersFunctionmain

:param args: :return:

clean.py:12

↓ 1 callersFunctionmain

(args)

bo-from-checkpoint.py:11

↓ 1 callersFunctionmain

Entry point

compute_data.py:43

↓ 1 callersFunctionmain

Entry point

debug/check_dataset.py:17

↓ 1 callersFunctionmain

()

debug/check_gpu.py:12

↓ 1 callersFunctionmain

()

simpleWorkingScripts/diagnose_tensorboard.py:452

↓ 1 callersFunctionmono

Used for model which can predict only one note at the same time :param use_binary: :param args: :param kwargs: :return:

src/NN/Loss/losses.py:39

↓ 1 callersFunctionname_to_foler

:param name: name of the folder of the big run :return:

src/res/tb.py:16

↓ 1 callersMethodnew_colors

(self)

src/NN/Sequences/AllInstSequence.py:49

↓ 1 callersMethodnew_inputs

(self, inputs)

src/NN/in_training.py:62

↓ 1 callersFunctionnew_shape_conv

To handle with padding = 'same' number of dim = len(input_shapes) (without batch) :param input_shape: Tuple[int]: ⚠ batch dim is

src/NN/layers/conv.py:285

↓ 1 callersFunctionnormalize_activation

:param use_binary: :param mono: :param arr: (nb_instruments, (batch=1), nb_steps=1, length, 88, 2) :param threshold: :return: th

src/Midi/create.py:9

↓ 1 callersMethodon_epoch_begin

:return:

src/NN/layers/vae.py:388

↓ 1 callersMethodon_epoch_end

:param epochs: :param logs: :return:

src/NN/Callbacks/AddAcc.py:18

↓ 1 callersMethodon_train_begin

(self, logs={})

src/NN/Callbacks/LossHistory.py:28

↓ 1 callersMethodon_train_end

(self, logs=None)

src/NN/Callbacks/LossHistory.py:34

↓ 1 callersMethodp1

(self)

simpleWorkingScripts/MixinClasses/SubClass1.py:9

↓ 1 callersMethodp2

(self)

simpleWorkingScripts/MixinClasses/SubClass2.py:9

↓ 1 callersFunctionpiano

:param notes_range: note range of the model :param notes_range_type: 'model' (default) / 'midi' :return: The image RGB of the piano

src/Images/pianoroll.py:124

↓ 1 callersMethodplay

call the model one time to initialize it Lunch super.play() with callbacks :return:

src/Midi/Player/BandPlayer.py:102

↓ 1 callersFunctionplot_several_tensorboard

:param run_labels: :param validation: :param train: :param max_length: :param run_names: :param data: :param label:

src/res/tb.py:45

↓ 1 callersMethodpredict

(self, inputs, in_training=0, **kwargs)

src/NN/in_training.py:38

↓ 1 callersMethodpredict_on_batch

(self, i, batch_size=4)

src/MidiGenerator/MGTrain.py:100

↓ 1 callersFunctionpreprocess

(args)

controller.py:30

↓ 1 callersMethodprint1

(self)

simpleWorkingScripts/MixinClasses/SubClass1.py:6

↓ 1 callersMethodprint2

(self)

simpleWorkingScripts/MixinClasses/SubClass2.py:6

↓ 1 callersMethodrecreate

:param with_weights: :param path: :return:

src/NN/KerasNeuralNetwork.py:420

↓ 1 callersMethodrecurse_call

(self, x, axis)

src/NN/layers/shapes.py:255

↓ 1 callersMethodrecurse_compute_output_shape

(self, input_shape, lengths)

src/NN/layers/shapes.py:244

↓ 1 callersFunctionrecurse_np2list

:param array: :param nb_lists: :return:

src/NN/layers/shapes.py:296

↓ 1 callersMethodrecurse_stack

(self, x, axis)

src/NN/layers/shapes.py:151

↓ 1 callersMethodredo_song_generate

(self, *args, **kwargs)

src/MidiGenerator/MGInit.py:274

↓ 1 callersMethodredo_song_replicate

(self, *args, **kwargs)

src/MidiGenerator/MGInit.py:331

↓ 1 callersMethodreplicate

(*args, **kwargs)

src/NN/Sequences/AllInstSequence.py:25

↓ 1 callersMethodreplicate_dataset

(self, sequence)

src/NN/Sequences/FastSequence.py:88

↓ 1 callersMethodreplicate_fill

(self, *args, **kwargs)

src/MidiGenerator/MGInit.py:328

↓ 1 callersMethodreplicate_from_data

(self, *args, **kwargs)

src/MidiGenerator/MGInit.py:325

↓ 1 callersMethodreturn_ijk

:param i_start: :return: file i.npy song number j and step k to start

src/NN/Sequences/KerasSequence.py:190

↓ 1 callersMethodreturn_nb_elements_available

:return: The number of useful element in the dataset A recursive function is used Go into every list and add up the (length

src/NN/Sequences/KerasSequence.py:220

↓ 1 callersFunctionsave_array_pil

:param file_name: :param array: (a, b, 3) # RGB :return:

src/Images/save.py:25

↓ 1 callersFunctionsave_array_plt

:param file_name: :param array: (a, b, 3) # RGB :return:

src/Images/save.py:35

↓ 1 callersMethodsave_checkpoint_weights

:param path: :return:

src/NN/KerasNeuralNetwork.py:410

↓ 1 callersMethodsave_model

(self, *args, **kwargs)

src/MidiGenerator/MGInit.py:317

↓ 1 callersMethodsave_tensorboard

(self, path)

src/NN/KerasNeuralNetwork.py:369

↓ 1 callersMethodsave_weights

:param path: :return:

src/NN/KerasNeuralNetwork.py:395

↓ 1 callersFunctionsemitone

:param tensor: :return:

src/NN/Loss/cost.py:120

↓ 1 callersMethodset_band_players

:param instrument: :param played_voice: :return:

src/Midi/Player/BandPlayer.py:78

↓ 1 callersMethodset_noise

(self, noise)

src/NN/Sequences/KerasSequence.py:185

↓ 1 callersFunctionset_up_logging

()

simpleWorkingScripts/diagnose_tensorboard.py:441

↓ 1 callersMethodshow_pianoroll_beat

:param args: :param kwargs: :return:

src/Midi/Player/BandPlayer.py:137

↓ 1 callersMethodslow_down_cpu

(nb_inter=1, nb_intra=1)

src/NN/KerasNeuralNetwork.py:510

↓ 1 callersMethodstop

:param hard: if False: will finish the last step, if True: won't finish it :return:

src/Midi/Player/Metronome.py:174

↓ 1 callersMethodterminate

(self)

src/Images/RealTimePianoroll.py:57

↓ 1 callersMethodtest_on_batch

(self, i=0, batch_size=4)

src/MidiGenerator/MGTrain.py:89

↓ 1 callersMethodtest_on_batch

(self, *args, **kwargs)

src/MidiGenerator/MGInit.py:342

↓ 1 callersFunctiontone

:param tensor: :return:

src/NN/Loss/cost.py:129

↓ 1 callersMethodtrain

:param batch_size: :param epochs: :param x: :param y: :param callbacks: :param verbose: :par

src/NN/KerasNeuralNetwork.py:245

↓ 1 callersMethodtrain_seq

:param workers: :param max_queue_size: :param fast_seq: :param memory_seq: :param sequence_to_numpy: To load

src/NN/KerasNeuralNetwork.py:193

↓ 1 callersFunctiontritone

:param tensor: :return:

src/NN/Loss/cost.py:138

↓ 1 callersMethodupdate_with_fit_args

(self, *args, **kwargs)

src/NN/Callbacks/UpdateLayers.py:26

↓ 1 callersMethodverify_attributs

:param units: :param n: :return:

src/NN/layers/dense.py:185

↓ 1 callersMethodverify_shapes

(input_shape)

src/NN/layers/shapes.py:63

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