Loading musiclm_pytorch/musiclm_pytorch.py +2 −1 Original line number Diff line number Diff line Loading @@ -5,6 +5,7 @@ from torch import nn, einsum from torchaudio.transforms import Spectrogram, TimeStretch, FrequencyMasking, TimeMasking from audiolm_pytorch import AudioLM from audiolm_pytorch.utils import AudioConditionerBase from x_clip.tokenizer import tokenizer from vector_quantize_pytorch import ResidualVQ Loading Loading @@ -448,7 +449,7 @@ class MuLaN(nn.Module): # music lm @beartype class MuLaNEmbedQuantizer(nn.Module): class MuLaNEmbedQuantizer(AudioConditionerBase): def __init__( self, mulan: MuLaN, Loading setup.py +2 −2 Original line number Diff line number Diff line Loading @@ -3,7 +3,7 @@ from setuptools import setup, find_packages setup( name = 'musiclm-pytorch', packages = find_packages(exclude=[]), version = '0.0.5', version = '0.0.6', license='MIT', description = 'MusicLM - AudioLM + Audio CLIP to text to music synthesis', author = 'Phil Wang', Loading @@ -19,7 +19,7 @@ setup( 'contrastive learning' ], install_requires=[ 'audiolm-pytorch>=0.8.1', 'audiolm-pytorch>=0.9.0', 'beartype', 'einops>=0.4', 'vector-quantize-pytorch>=1.0.0', Loading Loading
musiclm_pytorch/musiclm_pytorch.py +2 −1 Original line number Diff line number Diff line Loading @@ -5,6 +5,7 @@ from torch import nn, einsum from torchaudio.transforms import Spectrogram, TimeStretch, FrequencyMasking, TimeMasking from audiolm_pytorch import AudioLM from audiolm_pytorch.utils import AudioConditionerBase from x_clip.tokenizer import tokenizer from vector_quantize_pytorch import ResidualVQ Loading Loading @@ -448,7 +449,7 @@ class MuLaN(nn.Module): # music lm @beartype class MuLaNEmbedQuantizer(nn.Module): class MuLaNEmbedQuantizer(AudioConditionerBase): def __init__( self, mulan: MuLaN, Loading
setup.py +2 −2 Original line number Diff line number Diff line Loading @@ -3,7 +3,7 @@ from setuptools import setup, find_packages setup( name = 'musiclm-pytorch', packages = find_packages(exclude=[]), version = '0.0.5', version = '0.0.6', license='MIT', description = 'MusicLM - AudioLM + Audio CLIP to text to music synthesis', author = 'Phil Wang', Loading @@ -19,7 +19,7 @@ setup( 'contrastive learning' ], install_requires=[ 'audiolm-pytorch>=0.8.1', 'audiolm-pytorch>=0.9.0', 'beartype', 'einops>=0.4', 'vector-quantize-pytorch>=1.0.0', Loading