-
Karmel Allison authored
* Refactor and use class-based model for Resnet * Linting * Cleanup * Cleanup in lieu of MNIST changes * Moving params to init function * Making learning_rate function * Testing remotely... * Testing remotely... * Testing remotely... * Testing remotely... * Testing remotely... * Respond to CR pt 1 * Respond to CR pt 2 * Respond to CR pt 3 * Respond to CR pt 4 * Adding batch norm vars in * Exclude batch norm vars as the default * Fixing CIFAR-10 naming * Adding multi-GPU code * Git rewind * Git add file * Manual revert * Fixing tests * Allowing input thread specification * Adding comments * Allowing input thread specification * Merging resnet files * Merging resnet files * Refactoring input methods to allow for Reed's improvements * Adding comments * Changing arg name * Removing contrib shuffle_and_repeat * Removing contrib shuffle_and_repeat * Removing contrib shuffle_and_repeat * Debugging * Removing with dependency on update_op * Updating comments. * Returning dataset directly * Adding newline * Adding num_gpus flag * Refining preprocessing, part 1 * Refinements to preprocessing resulting from multi-GPU tests * Reviving one-hot labels * Reviving one-hot labels * Fixing label shapes * Removing epoch leftovers * Adding random flip back in * Reverting unnecessary linting of test file * Respond to CR * Respond to CR * Respond to CR * Remove conversion to float * Remove conversion to float- comment * Making means full-scale * Pulling data.take under multi_gpu flag * Pulling data.take under multi_gpu flag- Cifar * Pulling data.take under multi_gpu flag- Cifar * Removing num_gpus * Removing num_gpus
a41f00ac
