Loading audiolm_pytorch/soundstream.py +1 −3 Original line number Diff line number Diff line Loading @@ -246,10 +246,10 @@ class CausalConvTranspose1d(nn.Module): def ResidualUnit(chan_in, chan_out, dilation, kernel_size = 7): return Residual(nn.Sequential( nn.ELU(), CausalConv1d(chan_in, chan_out, kernel_size, dilation = dilation), nn.ELU(), CausalConv1d(chan_out, chan_out, 1), nn.ELU() )) def EncoderBlock(chan_in, chan_out, stride, cycle_dilations = (1, 3, 9)): Loading @@ -258,7 +258,6 @@ def EncoderBlock(chan_in, chan_out, stride, cycle_dilations = (1, 3, 9)): ResidualUnit(chan_in, chan_in, next(it)), ResidualUnit(chan_in, chan_in, next(it)), ResidualUnit(chan_in, chan_in, next(it)), nn.ELU(), CausalConv1d(chan_in, chan_out, 2 * stride, stride = stride) ) Loading @@ -269,7 +268,6 @@ def DecoderBlock(chan_in, chan_out, stride, cycle_dilations = (1, 3, 9)): it = cycle(cycle_dilations) return nn.Sequential( nn.ELU(), CausalConvTranspose1d(chan_in, chan_out, 2 * stride, stride = stride), ResidualUnit(chan_out, chan_out, next(it)), ResidualUnit(chan_out, chan_out, next(it)), 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 = '0.7.1', version = '0.7.2', license='MIT', description = 'AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch', author = 'Phil Wang', Loading Loading
audiolm_pytorch/soundstream.py +1 −3 Original line number Diff line number Diff line Loading @@ -246,10 +246,10 @@ class CausalConvTranspose1d(nn.Module): def ResidualUnit(chan_in, chan_out, dilation, kernel_size = 7): return Residual(nn.Sequential( nn.ELU(), CausalConv1d(chan_in, chan_out, kernel_size, dilation = dilation), nn.ELU(), CausalConv1d(chan_out, chan_out, 1), nn.ELU() )) def EncoderBlock(chan_in, chan_out, stride, cycle_dilations = (1, 3, 9)): Loading @@ -258,7 +258,6 @@ def EncoderBlock(chan_in, chan_out, stride, cycle_dilations = (1, 3, 9)): ResidualUnit(chan_in, chan_in, next(it)), ResidualUnit(chan_in, chan_in, next(it)), ResidualUnit(chan_in, chan_in, next(it)), nn.ELU(), CausalConv1d(chan_in, chan_out, 2 * stride, stride = stride) ) Loading @@ -269,7 +268,6 @@ def DecoderBlock(chan_in, chan_out, stride, cycle_dilations = (1, 3, 9)): it = cycle(cycle_dilations) return nn.Sequential( nn.ELU(), CausalConvTranspose1d(chan_in, chan_out, 2 * stride, stride = stride), ResidualUnit(chan_out, chan_out, next(it)), ResidualUnit(chan_out, chan_out, next(it)), 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 = '0.7.1', version = '0.7.2', license='MIT', description = 'AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch', author = 'Phil Wang', Loading