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Minor fix
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@ -41,7 +41,7 @@ class Conformer(Transformer):
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cnn_module_kernel (int): Kernel size of convolution module
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cnn_module_kernel (int): Kernel size of convolution module
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normalize_before (bool): whether to use layer_norm before the first block.
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normalize_before (bool): whether to use layer_norm before the first block.
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vgg_frontend (bool): whether to use vgg frontend.
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vgg_frontend (bool): whether to use vgg frontend.
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""" # noqa E501
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"""
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def __init__(
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def __init__(
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self,
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self,
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@ -872,7 +872,7 @@ class ConvolutionModule(nn.Module):
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kernel_size (int): Kernerl size of conv layers.
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kernel_size (int): Kernerl size of conv layers.
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bias (bool): Whether to use bias in conv layers (default=True).
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bias (bool): Whether to use bias in conv layers (default=True).
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""" # noqa
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"""
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def __init__(
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def __init__(
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self, channels: int, kernel_size: int, bias: bool = True
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self, channels: int, kernel_size: int, bias: bool = True
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