Issue corrected NiftyNet package path in niftynet/layer/channel_sparse_convolution.py
@@ -10,7 +10,7 @@ from niftynet.utilities.misc_common import look_up_operations
from niftynet.layer import layer_util
import numpy as np
-class ChannelSparseDeconvLayer(layer.deconvolution.DeconvLayer):
+class ChannelSparseDeconvLayer(niftynet.layer.deconvolution.DeconvLayer):
""" 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
@@ -96,7 +96,7 @@ class ChannelSparseDeconvLayer(layer.deconvolution.DeconvLayer):
name='add_bias')
return output_tensor
-class ChannelSparseConvLayer(layer.convolution.ConvLayer):
+class ChannelSparseConvLayer(niftynet.layer.convolution.ConvLayer):
""" 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
