Fixes for Issue #31

PyTorch/sparseconvnet/convolution.py

@@ -54,10 +54,6 @@ class ConvolutionFunction(Function):
     def backward(ctx, grad_output):
         grad_input=Variable(grad_output.data.new())
         grad_weight=Variable(grad_output.data.new().resize_as_(ctx.weight).zero_())
-        if ctx.bias is None:
-            grad_bias=None
-        else:
-            grad_bias = Variable(grad_output.data.new().resize_as_(bias).zero_())
         if ctx.bias is None:
             grad_bias=None
         else:

PyTorch/sparseconvnet/deconvolution.py

@@ -127,4 +127,6 @@ class Deconvolution(Module):
         return s
 
     def input_spatial_size(self, out_size):
-        return (out_size - 1) * self.filter_stride + self.filter_size
+        in_size = (out_size - self.filter_size) / self.filter_stride + 1
+        assert ((in_size - 1) * self.filter_stride + self.filter_size == out_size).all()
+        return in_size