* Add default PyTorch seeding and worker_init_fn to DataLoader
* generate seed using current RNG each time
* worker_seed <- main_proc_RNG_generated_seed + worker_id
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
Depending on how PyTorch is compiled, the source code for DataLoader
might not be fully available which can cause a spurious error in
test_dataloader.py
DataLoader now supports the constructor argument 'pin_memory'. When set
to true, tensors in the sample are copied to pinned memory. This happens
in a background thread when num_workers > 1.
