![]() Sequential ( OrderedDict ()) manual_seed ( 666 )ĭefault_trainer = get_default_trainer () optimizer = torch. testsetup:` def get_default_trainer (): def train_step ( engine, batch ): return batch return Engine ( train_step ) # create default model for doctests default_model = nn. SGD (, lr = 0.1 ) # create default trainer for doctests # as handlers could be attached to the trainer, # each test must define his own trainer using `. ![]() zeros (, requires_grad = True ) default_optimizer = torch. ![]() From collections import OrderedDict import torch from torch import nn, optim from ignite.engine import * from ignite.handlers import * from trics import * from ignite.utils import * from import * from import * # create default evaluator for doctests def eval_step ( engine, batch ): return batch default_evaluator = Engine ( eval_step ) # create default optimizer for doctests param_tensor = torch. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |