Issue corrected another NiftyNet package path in niftynet/layer/channel_sparse_convolution.py
@@ -162,7 +162,7 @@ class ChannelSparseConvLayer(niftynet.layer.convolution.ConvLayer):
name='add_bias')
return output_tensor
-class ChannelSparseBNLayer(layer.bn.BNLayer):
+class ChannelSparseBNLayer(niftynet.layer.bn.BNLayer):
""" Channel sparse convolutions perform convolulations over
a subset of image channels and generate a subset of output
channels. This enables spatial dropout without wasted computations
