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module: error checkingBugs related to incorrect/lacking error checkingBugs related to incorrect/lacking error checkingtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
Description
- THNN errors (say exactly which function has failed) - depends on the C API
- double backward without
save_variables=True - accept int as real for float types
- constructing variables with non-tensor objects
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torch.catprintsTODO:torch.cat(torch.Tensor(128), torch.Tensor(128)) - CUDA OOM when constructing tensors says the arguments were invalid
- out of range errors
- inconsistent tensor size
- use of variables in torch.xxx APIs expecting tensors
- Convolution with invalid input sizes
- torch.cat (on variables) when given a.cat((b), 1) # a and b are 2D
- torch.cat when given different tensor types. torch.cat((a,b)) where a is LongTensor and b is FloatTensor for example.
- when autograd.Function.forward returns something other than a tensor or tuple(tensor)
- when MyFunction.backward() takes the incorrect number of arguments
- addbmm
output tensor of incorrect size at /Users/soumith/code/pytorch/torch/lib/TH/generic/THTensorMath.c:1040
RuntimeError: out of range at /Users/soumith/anaconda/conda-bld/pytorch-0.1.4_1475478983079/work/torch/lib/TH/generic/THTensor.c:350
hughperkins, Shuailong, cdluminate, kielpins and fepegarhughperkins and Shuailong
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module: error checkingBugs related to incorrect/lacking error checkingBugs related to incorrect/lacking error checkingtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module