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Reducing train_batch_tokens; 10k OOMs on 0.4.1

This commit is contained in:
Bryan McCann 2018-10-23 17:44:39 -07:00
parent 38ce8ac161
commit f835558916
1 changed files with 1 additions and 1 deletions
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2
arguments.py
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@ -31,7 +31,7 @@ def parse():
parser.add_argument('--train_tasks', nargs='+', type=str, help='tasks to use for training', required=True)
parser.add_argument('--train_iterations', nargs='+', type=int, help='number of iterations to focus on each task')
parser.add_argument('--train_batch_tokens', nargs='+', default=[10000], type=int, help='Number of tokens to use for dynamic batching, corresponging to tasks in train tasks')
parser.add_argument('--train_batch_tokens', nargs='+', default=[9000], type=int, help='Number of tokens to use for dynamic batching, corresponging to tasks in train tasks')
parser.add_argument('--jump_start', default=0, type=int, help='number of iterations to give jump started tasks')
parser.add_argument('--n_jump_start', default=0, type=int, help='how many tasks to jump start (presented in order)')
parser.add_argument('--num_print', default=15, type=int, help='how many validation examples with greedy output to print to std out')