* Use Welford's algorithm when reducing along inner dimension for THCTensor's variance fn
* Use accreals in THCTensor's varInnermostDim
* Skip cuda tests if no cuda
* Variance testing
* Add torch.take and Tensor.put_
These are similar to numpy.take and numpy.put. The take function allows
you to linearly index into a tensor without viewing it as a 1D tensor
first. The output has the same shape as the indices. The put function
copies value into a tensor also using linear indices.
* tensor: Ensure that the tensor is contiguous before pinning (#3266)
pin_memory() was producing out-of-order tensor when the given
tensor was transposed, i.e. in column-major order.
This commit fixes this by calling contiguous() before pinning.
* test: add contiguous test for pin_memory (#3266)
* with the size=1 case, impossible to do single point check, replace with isContiguousRange
* fix stride in desc; fix undef scope
* add test for this case for cudnn
* assertTrue
test_FloatTensor_qr_big test is still a bit flaky on K80. Increasing tolerance to improve reliability as tests are moved around and results change for this test.
Here's the command I used to invoke autopep8 (in parallel!):
git ls-files | grep '\.py$' | xargs -n1 -P`nproc` autopep8 -i
Several rules are ignored in setup.cfg. The goal is to let autopep8
handle everything which it can handle safely, and to disable any rules
which are tricky or controversial to address. We may want to come back
and re-enable some of these rules later, but I'm trying to make this
patch as safe as possible.
Also configures flake8 to match pep8's behavior.
Also configures TravisCI to check the whole project for lint.
* Fix error in ELU backward
* Add --seed flag for testst st
* Add test for BatchNorm eval
* Fix autograd.backward docs
* Support cc flags in cuDNN search
* Fix IndexSelect backward formula
