code: def __init__(self, out_channels, kernel_size, strides, padding):
      super(DecoderBlock, self).__init__()
      self.conv3d = Conv3DTranspose(
          out_channels,
          kernel_size,
          strides=strides,
          padding=padding,
          use_bias=False,
      )
      self.instnorm = InstanceNormalization()
      self.activation = LeakyReLU(0.01)
  
imports: import logging
  import numpy
  from dipy.data import get_fnames
  from dipy.testing.decorators import doctest_skip_parser
  from dipy.utils.optpkg import optional_package
  from dipy.nn.utils import normalize, unnormalize, set_logger_level
label_desc: Use image node_id 1 to create a new DecoderBlock object from inherited base classes: Layer with example: obj = DecoderBlock(out_channels, kernel_size, strides, padding)