Comments (1)
Updating torch solved the issue
from sparseconvnet.
Related Issues (20)
- how to transfer batch of (B,C,H,W) to sparse tensor? DenseToSparse()? HOT 1
- File "/home/libo/SparseConvNet/sparseconvnet/maxPooling.py", line 85, in forward self.pool_size == input.spatial_size).all() AssertionError Segmentation fault (core dumped) HOT 2
- can't get the same results in paper HOT 2
- sparseconvnet.SCN ImportError HOT 1
- Some questions about operational efficiency
- About the parameters of InputLayer HOT 3
- Dense to Sparse for input is quite slow
- AttributeError: module 'sparseconvnet.SCN' has no attribute 'Metadata_2' HOT 3
- RuntimeError: CUDA error: an illegal memory access was encountered HOT 2
- voxel input HOT 1
- Cloning face an error
- undefined symbol: _ZNSt15__exception_ptr13exception_ptr10_M_releaseEv HOT 2
- How to compute FLOPs for spraseconvnet HOT 3
- RuntimeError: expected scalar type Long but found Float HOT 5
- Building failure related to gcc version
- RuntimeError: expected scalar type Long but found Float
- Dilated convolution HOT 1
- Directly applying convolution HOT 1
- Rewrite for convolution operation
- Output with empty tensor
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from sparseconvnet.