How to use the torchgan.logging.logger.Logger function in torchgan

To help you get started, we’ve selected a few torchgan examples, based on popular ways it is used in public projects.

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torchgan / torchgan / torchgan / trainer / trainer.py View on Github

self.optimizer_names.append(opt_name)
            model_params = getattr(self, key).parameters()
            if "args" in opt:
                setattr(self, opt_name, (opt["name"](model_params, **opt["args"])))
            else:
                setattr(self, opt_name, (opt["name"](model_params)))
            if "scheduler" in opt:
                sched = opt["scheduler"]
                if "args" in sched:
                    self.schedulers.append(
                        sched["name"](getattr(self, opt_name), **sched["args"])
                    )
                else:
                    self.schedulers.append(sched["name"](getattr(self, opt_name)))

        self.logger = Logger(
            self,
            losses_list,
            metrics_list,
            log_dir=log_dir,
            nrow=nrow,
            test_noise=test_noise,
        )

        self._store_loss_maps()
        self._store_metric_maps()

torchgan / torchgan / torchgan / trainer / parallel_trainer.py View on Github

self.optimizer_names.append(opt_name)
            model_params = getattr(self, key).parameters()
            if "args" in opt:
                setattr(self, opt_name, (opt["name"](model_params, **opt["args"])))
            else:
                setattr(self, opt_name, (opt["name"](model_params)))
            if "scheduler" in opt:
                sched = opt["scheduler"]
                if "args" in sched:
                    self.schedulers.append(
                        sched["name"](getattr(self, opt_name), **sched["args"])
                    )
                else:
                    self.schedulers.append(sched["name"](getattr(self, opt_name)))

        self.logger = Logger(
            self,
            losses_list,
            metrics_list,
            log_dir=log_dir,
            nrow=nrow,
            test_noise=test_noise,
        )

        self._store_loss_maps()
        self._store_metric_maps()

How to use the torchgan.logging.logger.Logger function in torchgan

To help you get started, we’ve selected a few torchgan examples, based on popular ways it is used in public projects.

torchgan

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