Loading audiolm_pytorch/audiolm_pytorch.py +1 −1 Original line number Diff line number Diff line Loading @@ -109,7 +109,7 @@ class MultiScaleDiscriminator(nn.Module): chan_out = min(curr_channels * 4, chan_max) self.conv_layers.append(nn.Sequential( nn.Conv1d(curr_channels, chan_out, 8, stride = 4, padding = 4), nn.Conv1d(curr_channels, chan_out, 8, stride = 4, padding = 4, groups = groups), leaky_relu() )) Loading setup.py +1 −1 Original line number Diff line number Diff line Loading @@ -3,7 +3,7 @@ from setuptools import setup, find_packages setup( name = 'audiolm-pytorch', packages = find_packages(exclude=[]), version = '0.0.19', version = '0.0.20', license='MIT', description = 'AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch', author = 'Phil Wang', Loading Loading
audiolm_pytorch/audiolm_pytorch.py +1 −1 Original line number Diff line number Diff line Loading @@ -109,7 +109,7 @@ class MultiScaleDiscriminator(nn.Module): chan_out = min(curr_channels * 4, chan_max) self.conv_layers.append(nn.Sequential( nn.Conv1d(curr_channels, chan_out, 8, stride = 4, padding = 4), nn.Conv1d(curr_channels, chan_out, 8, stride = 4, padding = 4, groups = groups), leaky_relu() )) Loading
setup.py +1 −1 Original line number Diff line number Diff line Loading @@ -3,7 +3,7 @@ from setuptools import setup, find_packages setup( name = 'audiolm-pytorch', packages = find_packages(exclude=[]), version = '0.0.19', version = '0.0.20', license='MIT', description = 'AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch', author = 'Phil Wang', Loading