Support index parameters with Cuda*Tensor.

These modules check the type explicitly for CudaTensor
rather than the regular expression.  There are other
modules that have this identical check, but do operations
on the resulting type which may or may not be support
(i.e. require more checking), so I didn't change them.
These should be safe because the index type is independent
of the type being checking.

1 files changed, 1 insertions, 1 deletions

diff --git a/Min.lua b/Min.lua
index 252f52e..3a3e4a8 100644
--- a/Min.lua
+++ b/Min.lua
@@ -21,7 +21,7 @@ end
 function Min:_lazyInit()
    self._output = self._output or self.output.new()
    if not self._indices then
-      if torch.type(self.output) == 'torch.CudaTensor' then
+      if torch.typename(self.output):find('torch%.Cuda.*Tensor') then
          self._indices = torch.CudaLongTensor and torch.CudaLongTensor() or torch.CudaTensor()
       else
          self._indices = torch.LongTensor()