Upload 8 files

checkpoints/freesoundloop10k_default_b2048_r48000/config.gin

@@ -0,0 +1,201 @@
+from __gin__ import dynamic_registration
+import cached_conv as cc
+from cached_conv import convs
+import rave
+from rave import blocks
+from rave import core
+from rave import dataset
+from rave import descript_discriminator
+from rave import discriminator
+from rave import model
+from rave import pqmf
+import torch
+import torch.nn as nn
+
+# Macros:
+# ==============================================================================
+ACTIVATION = @blocks.Snake
+CAPACITY = 96
+DILATIONS = [[1, 3, 9], [1, 3, 9], [1, 3, 9], [1, 3]]
+KERNEL_SIZE = 3
+LATENT_SIZE = 128
+N_BAND = 16
+NOISE_AUGMENTATION = 0
+PHASE_1_DURATION = 0
+RATIOS = [4, 4, 4, 2]
+SAMPLING_RATE = 48000
+
+# Parameters for blocks.AdaptiveInstanceNormalization:
+# ==============================================================================
+# None.
+
+# Parameters for variational/blocks.AdaptiveInstanceNormalization:
+# ==============================================================================
+# None.
+
+# Parameters for core.AudioDistanceV1:
+# ==============================================================================
+core.AudioDistanceV1.log_epsilon = 1e-07
+core.AudioDistanceV1.multiscale_stft = @core.MultiScaleSTFT
+
+# Parameters for model.BetaWarmupCallback:
+# ==============================================================================
+model.BetaWarmupCallback.initial_value = 1e-06
+model.BetaWarmupCallback.log = True
+model.BetaWarmupCallback.target_value = 0.05
+model.BetaWarmupCallback.warmup_len = 20000
+
+# Parameters for pqmf.CachedPQMF:
+# ==============================================================================
+pqmf.CachedPQMF.attenuation = 100
+pqmf.CachedPQMF.n_band = %N_BAND
+
+# Parameters for cc.Conv1d:
+# ==============================================================================
+cc.Conv1d.bias = False
+
+# Parameters for variational/cc.Conv1d:
+# ==============================================================================
+variational/cc.Conv1d.bias = False
+
+# Parameters for cc.ConvTranspose1d:
+# ==============================================================================
+cc.ConvTranspose1d.bias = False
+
+# Parameters for descript_discriminator.DescriptDiscriminator:
+# ==============================================================================
+descript_discriminator.DescriptDiscriminator.bands = \
+    [(0.0, 0.1), (0.1, 0.25), (0.25, 0.5), (0.5, 0.75), (0.75, 1.0)]
+descript_discriminator.DescriptDiscriminator.fft_sizes = [2048, 1024, 512]
+descript_discriminator.DescriptDiscriminator.periods = [2, 3, 5, 7, 11]
+descript_discriminator.DescriptDiscriminator.rates = []
+descript_discriminator.DescriptDiscriminator.sample_rate = 44100
+
+# Parameters for variational/blocks.EncoderV2:
+# ==============================================================================
+variational/blocks.EncoderV2.activation = %ACTIVATION
+variational/blocks.EncoderV2.adain = @blocks.AdaptiveInstanceNormalization
+variational/blocks.EncoderV2.capacity = %CAPACITY
+variational/blocks.EncoderV2.data_size = %N_BAND
+variational/blocks.EncoderV2.dilations = %DILATIONS
+variational/blocks.EncoderV2.group_resample = False
+variational/blocks.EncoderV2.group_size = 65536
+variational/blocks.EncoderV2.keep_dim = False
+variational/blocks.EncoderV2.kernel_size = %KERNEL_SIZE
+variational/blocks.EncoderV2.latent_size = %LATENT_SIZE
+variational/blocks.EncoderV2.n_out = 2
+variational/blocks.EncoderV2.ratios = %RATIOS
+variational/blocks.EncoderV2.recurrent_layer = None
+variational/blocks.EncoderV2.spectrogram = None
+
+# Parameters for blocks.GeneratorV2:
+# ==============================================================================
+blocks.GeneratorV2.activation = %ACTIVATION
+blocks.GeneratorV2.adain = @blocks.AdaptiveInstanceNormalization
+blocks.GeneratorV2.amplitude_modulation = True
+blocks.GeneratorV2.capacity = %CAPACITY
+blocks.GeneratorV2.causal_convtranspose = True
+blocks.GeneratorV2.data_size = %N_BAND
+blocks.GeneratorV2.dilations = %DILATIONS
+blocks.GeneratorV2.group_resample = False
+blocks.GeneratorV2.group_size = 65536
+blocks.GeneratorV2.keep_dim = False
+blocks.GeneratorV2.kernel_size = %KERNEL_SIZE
+blocks.GeneratorV2.latent_size = @core.get_augmented_latent_size()
+blocks.GeneratorV2.noise_module = @blocks.NoiseGeneratorV2
+blocks.GeneratorV2.ratios = %RATIOS
+blocks.GeneratorV2.recurrent_layer = None
+
+# Parameters for core.get_augmented_latent_size:
+# ==============================================================================
+core.get_augmented_latent_size.latent_size = %LATENT_SIZE
+core.get_augmented_latent_size.noise_augmentation = %NOISE_AUGMENTATION
+
+# Parameters for dataset.get_dataset:
+# ==============================================================================
+dataset.get_dataset.augmentations = []
+
+# Parameters for convs.get_padding:
+# ==============================================================================
+convs.get_padding.dilation = 1
+convs.get_padding.mode = 'causal'
+convs.get_padding.stride = 1
+
+# Parameters for variational/convs.get_padding:
+# ==============================================================================
+variational/convs.get_padding.dilation = 1
+variational/convs.get_padding.mode = 'causal'
+variational/convs.get_padding.stride = 1
+
+# Parameters for core.MultiScaleSTFT:
+# ==============================================================================
+core.MultiScaleSTFT.magnitude = True
+core.MultiScaleSTFT.normalized = False
+core.MultiScaleSTFT.num_mels = None
+core.MultiScaleSTFT.random_crop = False
+core.MultiScaleSTFT.sample_rate = %SAMPLING_RATE
+core.MultiScaleSTFT.scales = [2048, 1024, 512, 256, 128]
+
+# Parameters for blocks.NoiseGeneratorV2:
+# ==============================================================================
+blocks.NoiseGeneratorV2.activation = %ACTIVATION
+blocks.NoiseGeneratorV2.data_size = %N_BAND
+blocks.NoiseGeneratorV2.hidden_size = 128
+blocks.NoiseGeneratorV2.noise_bands = 5
+blocks.NoiseGeneratorV2.ratios = [2, 2, 2]
+
+# Parameters for blocks.normalization:
+# ==============================================================================
+blocks.normalization.mode = 'weight_norm'
+
+# Parameters for variational/blocks.normalization:
+# ==============================================================================
+variational/blocks.normalization.mode = 'weight_norm'
+
+# Parameters for model.RAVE:
+# ==============================================================================
+model.RAVE.audio_distance = @core.AudioDistanceV1
+model.RAVE.audio_monitor_epochs = 1
+model.RAVE.balancer = None
+model.RAVE.decoder = @blocks.GeneratorV2
+model.RAVE.discriminator = @descript_discriminator.DescriptDiscriminator
+model.RAVE.enable_pqmf_decode = None
+model.RAVE.enable_pqmf_encode = None
+model.RAVE.encoder = @blocks.VariationalEncoder
+model.RAVE.feature_matching_fun = @feature_matching/core.mean_difference
+model.RAVE.freeze_encoder = False
+model.RAVE.gan_loss = @core.hinge_gan
+model.RAVE.input_mode = 'pqmf'
+model.RAVE.is_mel_input = None
+model.RAVE.latent_size = %LATENT_SIZE
+model.RAVE.loss_weights = None
+model.RAVE.multiband_audio_distance = @core.AudioDistanceV1
+model.RAVE.n_bands = 16
+model.RAVE.n_channels = 1
+model.RAVE.num_skipped_features = 1
+model.RAVE.output_mode = 'pqmf'
+model.RAVE.phase_1_duration = %PHASE_1_DURATION
+model.RAVE.pqmf = @pqmf.CachedPQMF
+model.RAVE.sampling_rate = %SAMPLING_RATE
+model.RAVE.spectrogram = None
+model.RAVE.update_discriminator_every = 4
+model.RAVE.valid_signal_crop = True
+model.RAVE.warmup_quantize = None
+model.RAVE.weights = {'feature_matching': 20}
+
+# Parameters for blocks.Snake:
+# ==============================================================================
+# None.
+
+# Parameters for variational/blocks.Snake:
+# ==============================================================================
+# None.
+
+# Parameters for dataset.split_dataset:
+# ==============================================================================
+dataset.split_dataset.max_residual = 1000
+
+# Parameters for blocks.VariationalEncoder:
+# ==============================================================================
+blocks.VariationalEncoder.beta = 1.0
+blocks.VariationalEncoder.encoder = @variational/blocks.EncoderV2

checkpoints/freesoundloop10k_default_b2048_r48000/version_0/checkpoints/last.ckpt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1cfed96e29b9f026df10499ce5fbf157da2b5402e5cd68212ddf7f6a500e84c5
+size 898754420

checkpoints/freesoundloop10k_default_b2048_r48000/version_0/events.out.tfevents.1730231102.tamforce.1561356.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57fb59b4f2584c2f4b6e2e698960fe1b83ed6c2895296b4132c50b7a1bdad2b0
+size 1210921671

checkpoints/freesoundloop10k_default_b2048_r48000/version_0/hparams.yaml

@@ -0,0 +1 @@
+{}

checkpoints/freesoundloop10k_raspi_b2048_r44100/config.gin

@@ -0,0 +1,185 @@
+from __gin__ import dynamic_registration
+import cached_conv as cc
+from cached_conv import convs
+import rave
+from rave import blocks
+from rave import core
+from rave import dataset
+from rave import descript_discriminator
+from rave import discriminator
+from rave import model
+from rave import pqmf
+import torch
+import torch.nn as nn
+
+# Macros:
+# ==============================================================================
+ACTIVATION = @blocks.Snake
+CAPACITY = 32
+DILATIONS = [[1, 3, 9], [1, 3, 9], [1, 3, 9], [1, 3]]
+KERNEL_SIZE = 3
+LATENT_SIZE = 128
+N_BAND = 16
+NOISE_AUGMENTATION = 0
+PHASE_1_DURATION = 5000000
+RATIOS = [4, 4, 4, 2]
+SAMPLING_RATE = 44100
+
+# Parameters for core.AudioDistanceV1:
+# ==============================================================================
+core.AudioDistanceV1.log_epsilon = 1e-07
+core.AudioDistanceV1.multiscale_stft = @core.MultiScaleSTFT
+
+# Parameters for model.BetaWarmupCallback:
+# ==============================================================================
+model.BetaWarmupCallback.initial_value = 1e-06
+model.BetaWarmupCallback.log = True
+model.BetaWarmupCallback.target_value = 0.05
+model.BetaWarmupCallback.warmup_len = 20000
+
+# Parameters for pqmf.CachedPQMF:
+# ==============================================================================
+pqmf.CachedPQMF.attenuation = 100
+pqmf.CachedPQMF.n_band = %N_BAND
+
+# Parameters for cc.Conv1d:
+# ==============================================================================
+cc.Conv1d.bias = False
+
+# Parameters for variational/cc.Conv1d:
+# ==============================================================================
+variational/cc.Conv1d.bias = False
+
+# Parameters for cc.ConvTranspose1d:
+# ==============================================================================
+cc.ConvTranspose1d.bias = False
+
+# Parameters for descript_discriminator.DescriptDiscriminator:
+# ==============================================================================
+descript_discriminator.DescriptDiscriminator.bands = \
+    [(0.0, 0.1), (0.1, 0.25), (0.25, 0.5), (0.5, 0.75), (0.75, 1.0)]
+descript_discriminator.DescriptDiscriminator.fft_sizes = [2048, 1024, 512]
+descript_discriminator.DescriptDiscriminator.periods = [2, 3, 5, 7, 11]
+descript_discriminator.DescriptDiscriminator.rates = []
+descript_discriminator.DescriptDiscriminator.sample_rate = 44100
+
+# Parameters for variational/blocks.EncoderV2:
+# ==============================================================================
+variational/blocks.EncoderV2.activation = %ACTIVATION
+variational/blocks.EncoderV2.adain = None
+variational/blocks.EncoderV2.capacity = %CAPACITY
+variational/blocks.EncoderV2.data_size = %N_BAND
+variational/blocks.EncoderV2.dilations = %DILATIONS
+variational/blocks.EncoderV2.group_resample = False
+variational/blocks.EncoderV2.group_size = 65536
+variational/blocks.EncoderV2.keep_dim = False
+variational/blocks.EncoderV2.kernel_size = %KERNEL_SIZE
+variational/blocks.EncoderV2.latent_size = %LATENT_SIZE
+variational/blocks.EncoderV2.n_out = 2
+variational/blocks.EncoderV2.ratios = %RATIOS
+variational/blocks.EncoderV2.recurrent_layer = None
+variational/blocks.EncoderV2.spectrogram = None
+
+# Parameters for blocks.GeneratorV2:
+# ==============================================================================
+blocks.GeneratorV2.activation = %ACTIVATION
+blocks.GeneratorV2.adain = None
+blocks.GeneratorV2.amplitude_modulation = True
+blocks.GeneratorV2.capacity = %CAPACITY
+blocks.GeneratorV2.causal_convtranspose = False
+blocks.GeneratorV2.data_size = %N_BAND
+blocks.GeneratorV2.dilations = %DILATIONS
+blocks.GeneratorV2.group_resample = False
+blocks.GeneratorV2.group_size = 65536
+blocks.GeneratorV2.keep_dim = False
+blocks.GeneratorV2.kernel_size = %KERNEL_SIZE
+blocks.GeneratorV2.latent_size = @core.get_augmented_latent_size()
+blocks.GeneratorV2.noise_module = None
+blocks.GeneratorV2.ratios = %RATIOS
+blocks.GeneratorV2.recurrent_layer = None
+
+# Parameters for core.get_augmented_latent_size:
+# ==============================================================================
+core.get_augmented_latent_size.latent_size = %LATENT_SIZE
+core.get_augmented_latent_size.noise_augmentation = %NOISE_AUGMENTATION
+
+# Parameters for dataset.get_dataset:
+# ==============================================================================
+dataset.get_dataset.augmentations = []
+
+# Parameters for convs.get_padding:
+# ==============================================================================
+convs.get_padding.dilation = 1
+convs.get_padding.mode = 'centered'
+convs.get_padding.stride = 1
+
+# Parameters for variational/convs.get_padding:
+# ==============================================================================
+variational/convs.get_padding.dilation = 1
+variational/convs.get_padding.mode = 'centered'
+variational/convs.get_padding.stride = 1
+
+# Parameters for core.MultiScaleSTFT:
+# ==============================================================================
+core.MultiScaleSTFT.magnitude = True
+core.MultiScaleSTFT.normalized = False
+core.MultiScaleSTFT.num_mels = None
+core.MultiScaleSTFT.random_crop = False
+core.MultiScaleSTFT.sample_rate = %SAMPLING_RATE
+core.MultiScaleSTFT.scales = [2048, 1024, 512, 256, 128]
+
+# Parameters for blocks.normalization:
+# ==============================================================================
+blocks.normalization.mode = 'weight_norm'
+
+# Parameters for variational/blocks.normalization:
+# ==============================================================================
+variational/blocks.normalization.mode = 'weight_norm'
+
+# Parameters for model.RAVE:
+# ==============================================================================
+model.RAVE.audio_distance = @core.AudioDistanceV1
+model.RAVE.audio_monitor_epochs = 1
+model.RAVE.balancer = None
+model.RAVE.decoder = @blocks.GeneratorV2
+model.RAVE.discriminator = @descript_discriminator.DescriptDiscriminator
+model.RAVE.enable_pqmf_decode = None
+model.RAVE.enable_pqmf_encode = None
+model.RAVE.encoder = @blocks.VariationalEncoder
+model.RAVE.feature_matching_fun = @feature_matching/core.mean_difference
+model.RAVE.freeze_encoder = True
+model.RAVE.gan_loss = @core.hinge_gan
+model.RAVE.input_mode = 'pqmf'
+model.RAVE.is_mel_input = None
+model.RAVE.latent_size = %LATENT_SIZE
+model.RAVE.loss_weights = None
+model.RAVE.multiband_audio_distance = @core.AudioDistanceV1
+model.RAVE.n_bands = 16
+model.RAVE.n_channels = 1
+model.RAVE.num_skipped_features = 1
+model.RAVE.output_mode = 'pqmf'
+model.RAVE.phase_1_duration = %PHASE_1_DURATION
+model.RAVE.pqmf = @pqmf.CachedPQMF
+model.RAVE.sampling_rate = %SAMPLING_RATE
+model.RAVE.spectrogram = None
+model.RAVE.update_discriminator_every = 4
+model.RAVE.valid_signal_crop = True
+model.RAVE.warmup_quantize = None
+model.RAVE.weights = {'feature_matching': 20}
+
+# Parameters for blocks.Snake:
+# ==============================================================================
+# None.
+
+# Parameters for variational/blocks.Snake:
+# ==============================================================================
+# None.
+
+# Parameters for dataset.split_dataset:
+# ==============================================================================
+dataset.split_dataset.max_residual = 1000
+
+# Parameters for blocks.VariationalEncoder:
+# ==============================================================================
+blocks.VariationalEncoder.beta = 1.0
+blocks.VariationalEncoder.encoder = @variational/blocks.EncoderV2

checkpoints/freesoundloop10k_raspi_b2048_r44100/version_0/checkpoints/last.ckpt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:90426847a088ef1e8482a69689748d2e2597a0769c9e7f4ef57c259624aeaccb
+size 557978425

checkpoints/freesoundloop10k_raspi_b2048_r44100/version_0/events.out.tfevents.1732634568.tamforce.48320.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eed2c82ba18a3f07a4289a81179846fafe84073009e8e9e071696391193cfe95
+size 1208620632

checkpoints/freesoundloop10k_raspi_b2048_r44100/version_0/hparams.yaml

@@ -0,0 +1 @@
+{}