-
由 Taylor Robie 提交于
* port changes from previous branch now that transformer util changes are in master fix incorrect count correct (hopefully) treatment of batch_size set eval_metrics to a dummy function for now add some comments start bringing metrics to transformer TPU resolve logits shape metrics are now working except for tf.py_func metrics increase batch_size for tpu, and create summary host call fix host call reduce tpu default batch size further tune batch sizes add minibatch loss to summary handle case of single_iteration_train_steps > number points in an epoch begin to incorporate hooks add sleep workarounds disable hooks altogether generalize host call function and move to newly created tpu utils module remove all traces of params as an object switch from to address some PR comments, and change the number of data points. minor tweaks add tpu dry run for testing, and use matmul for TPU embedding infeed/outfeed queue issue is fixed. Sleeps are no longer necessary add some documentation. cleanup and address PR comments delint add accelerator __init__ fix embedding missed PR comment address PR comments fix validator bug rewrite cloud storage validator, and add oauth dependency to requirements.txt * delint
2eeb85fe
This project manages its dependencies using pip.
进一步了解