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Method __init__

code/networks/nnunet.py:98–158  ·  view source on GitHub ↗

stacks ConvDropoutNormLReLU layers. initial_stride will only be applied to first layer in the stack. The other parameters affect all layers :param input_feature_channels: :param output_feature_channels: :param num_convs: :param dilation: :param kernel

(self, input_feature_channels, output_feature_channels, num_convs,
                 conv_op=nn.Conv2d, conv_kwargs=None,
                 norm_op=nn.BatchNorm2d, norm_op_kwargs=None,
                 dropout_op=nn.Dropout2d, dropout_op_kwargs=None,
                 nonlin=nn.LeakyReLU, nonlin_kwargs=None, first_stride=None, basic_block=ConvDropoutNormNonlin)

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Calls 1

__init__Method · 0.45

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