1. Advisor
  2. Poutyne
  3. functions
  4. poutyne.framework.experiment.Experiment
View all Poutyne analysis

How to use the poutyne.framework.experiment.Experiment function in Poutyne

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

Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.

github GRAAL-Research / poutyne / poutyne / framework / experiment.py View on Github external
batch_metrics = [] if batch_metrics is None else batch_metrics
        epoch_metrics = [] if epoch_metrics is None else epoch_metrics

        loss_function = self._get_loss_function(loss_function, module, task)
        batch_metrics = self._get_batch_metrics(batch_metrics, module, task)
        epoch_metrics = self._get_epoch_metrics(epoch_metrics, module, task)
        self._set_monitor(monitor_metric, monitor_mode, task)

        self.model = Model(module, optimizer, loss_function, batch_metrics=batch_metrics, epoch_metrics=epoch_metrics)
        if device is not None:
            self.model.to(device)

        join_dir = lambda x: os.path.join(directory, x)

        self.best_checkpoint_filename = join_dir(Experiment.BEST_CHECKPOINT_FILENAME)
        self.best_checkpoint_tmp_filename = join_dir(Experiment.BEST_CHECKPOINT_TMP_FILENAME)
        self.model_checkpoint_filename = join_dir(Experiment.MODEL_CHECKPOINT_FILENAME)
        self.model_checkpoint_tmp_filename = join_dir(Experiment.MODEL_CHECKPOINT_TMP_FILENAME)
        self.optimizer_checkpoint_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_FILENAME)
        self.optimizer_checkpoint_tmp_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_TMP_FILENAME)
        self.log_filename = join_dir(Experiment.LOG_FILENAME)
        self.tensorboard_directory = join_dir(Experiment.TENSORBOARD_DIRECTORY)
        self.epoch_filename = join_dir(Experiment.EPOCH_FILENAME)
        self.epoch_tmp_filename = join_dir(Experiment.EPOCH_TMP_FILENAME)
        self.lr_scheduler_filename = join_dir(Experiment.LR_SCHEDULER_FILENAME)
        self.lr_scheduler_tmp_filename = join_dir(Experiment.LR_SCHEDULER_TMP_FILENAME)
        self.test_log_filename = join_dir(Experiment.TEST_LOG_FILENAME)
github GRAAL-Research / poutyne / poutyne / framework / experiment.py View on Github external
loss_function = self._get_loss_function(loss_function, module, task)
        batch_metrics = self._get_batch_metrics(batch_metrics, module, task)
        epoch_metrics = self._get_epoch_metrics(epoch_metrics, module, task)
        self._set_monitor(monitor_metric, monitor_mode, task)

        self.model = Model(module, optimizer, loss_function, batch_metrics=batch_metrics, epoch_metrics=epoch_metrics)
        if device is not None:
            self.model.to(device)

        join_dir = lambda x: os.path.join(directory, x)

        self.best_checkpoint_filename = join_dir(Experiment.BEST_CHECKPOINT_FILENAME)
        self.best_checkpoint_tmp_filename = join_dir(Experiment.BEST_CHECKPOINT_TMP_FILENAME)
        self.model_checkpoint_filename = join_dir(Experiment.MODEL_CHECKPOINT_FILENAME)
        self.model_checkpoint_tmp_filename = join_dir(Experiment.MODEL_CHECKPOINT_TMP_FILENAME)
        self.optimizer_checkpoint_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_FILENAME)
        self.optimizer_checkpoint_tmp_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_TMP_FILENAME)
        self.log_filename = join_dir(Experiment.LOG_FILENAME)
        self.tensorboard_directory = join_dir(Experiment.TENSORBOARD_DIRECTORY)
        self.epoch_filename = join_dir(Experiment.EPOCH_FILENAME)
        self.epoch_tmp_filename = join_dir(Experiment.EPOCH_TMP_FILENAME)
        self.lr_scheduler_filename = join_dir(Experiment.LR_SCHEDULER_FILENAME)
        self.lr_scheduler_tmp_filename = join_dir(Experiment.LR_SCHEDULER_TMP_FILENAME)
        self.test_log_filename = join_dir(Experiment.TEST_LOG_FILENAME)
github GRAAL-Research / poutyne / poutyne / framework / experiment.py View on Github external
self._set_monitor(monitor_metric, monitor_mode, task)

        self.model = Model(module, optimizer, loss_function, batch_metrics=batch_metrics, epoch_metrics=epoch_metrics)
        if device is not None:
            self.model.to(device)

        join_dir = lambda x: os.path.join(directory, x)

        self.best_checkpoint_filename = join_dir(Experiment.BEST_CHECKPOINT_FILENAME)
        self.best_checkpoint_tmp_filename = join_dir(Experiment.BEST_CHECKPOINT_TMP_FILENAME)
        self.model_checkpoint_filename = join_dir(Experiment.MODEL_CHECKPOINT_FILENAME)
        self.model_checkpoint_tmp_filename = join_dir(Experiment.MODEL_CHECKPOINT_TMP_FILENAME)
        self.optimizer_checkpoint_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_FILENAME)
        self.optimizer_checkpoint_tmp_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_TMP_FILENAME)
        self.log_filename = join_dir(Experiment.LOG_FILENAME)
        self.tensorboard_directory = join_dir(Experiment.TENSORBOARD_DIRECTORY)
        self.epoch_filename = join_dir(Experiment.EPOCH_FILENAME)
        self.epoch_tmp_filename = join_dir(Experiment.EPOCH_TMP_FILENAME)
        self.lr_scheduler_filename = join_dir(Experiment.LR_SCHEDULER_FILENAME)
        self.lr_scheduler_tmp_filename = join_dir(Experiment.LR_SCHEDULER_TMP_FILENAME)
        self.test_log_filename = join_dir(Experiment.TEST_LOG_FILENAME)
github GRAAL-Research / poutyne / poutyne / framework / experiment.py View on Github external
epoch_metrics = self._get_epoch_metrics(epoch_metrics, module, task)
        self._set_monitor(monitor_metric, monitor_mode, task)

        self.model = Model(module, optimizer, loss_function, batch_metrics=batch_metrics, epoch_metrics=epoch_metrics)
        if device is not None:
            self.model.to(device)

        join_dir = lambda x: os.path.join(directory, x)

        self.best_checkpoint_filename = join_dir(Experiment.BEST_CHECKPOINT_FILENAME)
        self.best_checkpoint_tmp_filename = join_dir(Experiment.BEST_CHECKPOINT_TMP_FILENAME)
        self.model_checkpoint_filename = join_dir(Experiment.MODEL_CHECKPOINT_FILENAME)
        self.model_checkpoint_tmp_filename = join_dir(Experiment.MODEL_CHECKPOINT_TMP_FILENAME)
        self.optimizer_checkpoint_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_FILENAME)
        self.optimizer_checkpoint_tmp_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_TMP_FILENAME)
        self.log_filename = join_dir(Experiment.LOG_FILENAME)
        self.tensorboard_directory = join_dir(Experiment.TENSORBOARD_DIRECTORY)
        self.epoch_filename = join_dir(Experiment.EPOCH_FILENAME)
        self.epoch_tmp_filename = join_dir(Experiment.EPOCH_TMP_FILENAME)
        self.lr_scheduler_filename = join_dir(Experiment.LR_SCHEDULER_FILENAME)
        self.lr_scheduler_tmp_filename = join_dir(Experiment.LR_SCHEDULER_TMP_FILENAME)
        self.test_log_filename = join_dir(Experiment.TEST_LOG_FILENAME)
github GRAAL-Research / poutyne / poutyne / framework / experiment.py View on Github external
loss_function = self._get_loss_function(loss_function, module, task)
        batch_metrics = self._get_batch_metrics(batch_metrics, module, task)
        epoch_metrics = self._get_epoch_metrics(epoch_metrics, module, task)
        self._set_monitor(monitor_metric, monitor_mode, task)

        self.model = Model(module, optimizer, loss_function, batch_metrics=batch_metrics, epoch_metrics=epoch_metrics)
        if device is not None:
            self.model.to(device)

        join_dir = lambda x: os.path.join(directory, x)

        self.best_checkpoint_filename = join_dir(Experiment.BEST_CHECKPOINT_FILENAME)
        self.best_checkpoint_tmp_filename = join_dir(Experiment.BEST_CHECKPOINT_TMP_FILENAME)
        self.model_checkpoint_filename = join_dir(Experiment.MODEL_CHECKPOINT_FILENAME)
        self.model_checkpoint_tmp_filename = join_dir(Experiment.MODEL_CHECKPOINT_TMP_FILENAME)
        self.optimizer_checkpoint_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_FILENAME)
        self.optimizer_checkpoint_tmp_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_TMP_FILENAME)
        self.log_filename = join_dir(Experiment.LOG_FILENAME)
        self.tensorboard_directory = join_dir(Experiment.TENSORBOARD_DIRECTORY)
        self.epoch_filename = join_dir(Experiment.EPOCH_FILENAME)
        self.epoch_tmp_filename = join_dir(Experiment.EPOCH_TMP_FILENAME)
        self.lr_scheduler_filename = join_dir(Experiment.LR_SCHEDULER_FILENAME)
        self.lr_scheduler_tmp_filename = join_dir(Experiment.LR_SCHEDULER_TMP_FILENAME)
        self.test_log_filename = join_dir(Experiment.TEST_LOG_FILENAME)
github GRAAL-Research / poutyne / poutyne / framework / experiment.py View on Github external
self.model.to(device)

        join_dir = lambda x: os.path.join(directory, x)

        self.best_checkpoint_filename = join_dir(Experiment.BEST_CHECKPOINT_FILENAME)
        self.best_checkpoint_tmp_filename = join_dir(Experiment.BEST_CHECKPOINT_TMP_FILENAME)
        self.model_checkpoint_filename = join_dir(Experiment.MODEL_CHECKPOINT_FILENAME)
        self.model_checkpoint_tmp_filename = join_dir(Experiment.MODEL_CHECKPOINT_TMP_FILENAME)
        self.optimizer_checkpoint_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_FILENAME)
        self.optimizer_checkpoint_tmp_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_TMP_FILENAME)
        self.log_filename = join_dir(Experiment.LOG_FILENAME)
        self.tensorboard_directory = join_dir(Experiment.TENSORBOARD_DIRECTORY)
        self.epoch_filename = join_dir(Experiment.EPOCH_FILENAME)
        self.epoch_tmp_filename = join_dir(Experiment.EPOCH_TMP_FILENAME)
        self.lr_scheduler_filename = join_dir(Experiment.LR_SCHEDULER_FILENAME)
        self.lr_scheduler_tmp_filename = join_dir(Experiment.LR_SCHEDULER_TMP_FILENAME)
        self.test_log_filename = join_dir(Experiment.TEST_LOG_FILENAME)
github GRAAL-Research / poutyne / poutyne / framework / experiment.py View on Github external
self.model = Model(module, optimizer, loss_function, batch_metrics=batch_metrics, epoch_metrics=epoch_metrics)
        if device is not None:
            self.model.to(device)

        join_dir = lambda x: os.path.join(directory, x)

        self.best_checkpoint_filename = join_dir(Experiment.BEST_CHECKPOINT_FILENAME)
        self.best_checkpoint_tmp_filename = join_dir(Experiment.BEST_CHECKPOINT_TMP_FILENAME)
        self.model_checkpoint_filename = join_dir(Experiment.MODEL_CHECKPOINT_FILENAME)
        self.model_checkpoint_tmp_filename = join_dir(Experiment.MODEL_CHECKPOINT_TMP_FILENAME)
        self.optimizer_checkpoint_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_FILENAME)
        self.optimizer_checkpoint_tmp_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_TMP_FILENAME)
        self.log_filename = join_dir(Experiment.LOG_FILENAME)
        self.tensorboard_directory = join_dir(Experiment.TENSORBOARD_DIRECTORY)
        self.epoch_filename = join_dir(Experiment.EPOCH_FILENAME)
        self.epoch_tmp_filename = join_dir(Experiment.EPOCH_TMP_FILENAME)
        self.lr_scheduler_filename = join_dir(Experiment.LR_SCHEDULER_FILENAME)
        self.lr_scheduler_tmp_filename = join_dir(Experiment.LR_SCHEDULER_TMP_FILENAME)
        self.test_log_filename = join_dir(Experiment.TEST_LOG_FILENAME)
github GRAAL-Research / poutyne / poutyne / framework / experiment.py View on Github external
batch_metrics = self._get_batch_metrics(batch_metrics, module, task)
        epoch_metrics = self._get_epoch_metrics(epoch_metrics, module, task)
        self._set_monitor(monitor_metric, monitor_mode, task)

        self.model = Model(module, optimizer, loss_function, batch_metrics=batch_metrics, epoch_metrics=epoch_metrics)
        if device is not None:
            self.model.to(device)

        join_dir = lambda x: os.path.join(directory, x)

        self.best_checkpoint_filename = join_dir(Experiment.BEST_CHECKPOINT_FILENAME)
        self.best_checkpoint_tmp_filename = join_dir(Experiment.BEST_CHECKPOINT_TMP_FILENAME)
        self.model_checkpoint_filename = join_dir(Experiment.MODEL_CHECKPOINT_FILENAME)
        self.model_checkpoint_tmp_filename = join_dir(Experiment.MODEL_CHECKPOINT_TMP_FILENAME)
        self.optimizer_checkpoint_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_FILENAME)
        self.optimizer_checkpoint_tmp_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_TMP_FILENAME)
        self.log_filename = join_dir(Experiment.LOG_FILENAME)
        self.tensorboard_directory = join_dir(Experiment.TENSORBOARD_DIRECTORY)
        self.epoch_filename = join_dir(Experiment.EPOCH_FILENAME)
        self.epoch_tmp_filename = join_dir(Experiment.EPOCH_TMP_FILENAME)
        self.lr_scheduler_filename = join_dir(Experiment.LR_SCHEDULER_FILENAME)
        self.lr_scheduler_tmp_filename = join_dir(Experiment.LR_SCHEDULER_TMP_FILENAME)
        self.test_log_filename = join_dir(Experiment.TEST_LOG_FILENAME)
github GRAAL-Research / poutyne / poutyne / framework / experiment.py View on Github external
if device is not None:
            self.model.to(device)

        join_dir = lambda x: os.path.join(directory, x)

        self.best_checkpoint_filename = join_dir(Experiment.BEST_CHECKPOINT_FILENAME)
        self.best_checkpoint_tmp_filename = join_dir(Experiment.BEST_CHECKPOINT_TMP_FILENAME)
        self.model_checkpoint_filename = join_dir(Experiment.MODEL_CHECKPOINT_FILENAME)
        self.model_checkpoint_tmp_filename = join_dir(Experiment.MODEL_CHECKPOINT_TMP_FILENAME)
        self.optimizer_checkpoint_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_FILENAME)
        self.optimizer_checkpoint_tmp_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_TMP_FILENAME)
        self.log_filename = join_dir(Experiment.LOG_FILENAME)
        self.tensorboard_directory = join_dir(Experiment.TENSORBOARD_DIRECTORY)
        self.epoch_filename = join_dir(Experiment.EPOCH_FILENAME)
        self.epoch_tmp_filename = join_dir(Experiment.EPOCH_TMP_FILENAME)
        self.lr_scheduler_filename = join_dir(Experiment.LR_SCHEDULER_FILENAME)
        self.lr_scheduler_tmp_filename = join_dir(Experiment.LR_SCHEDULER_TMP_FILENAME)
        self.test_log_filename = join_dir(Experiment.TEST_LOG_FILENAME)
github GRAAL-Research / poutyne / poutyne / framework / experiment.py View on Github external
join_dir = lambda x: os.path.join(directory, x)

        self.best_checkpoint_filename = join_dir(Experiment.BEST_CHECKPOINT_FILENAME)
        self.best_checkpoint_tmp_filename = join_dir(Experiment.BEST_CHECKPOINT_TMP_FILENAME)
        self.model_checkpoint_filename = join_dir(Experiment.MODEL_CHECKPOINT_FILENAME)
        self.model_checkpoint_tmp_filename = join_dir(Experiment.MODEL_CHECKPOINT_TMP_FILENAME)
        self.optimizer_checkpoint_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_FILENAME)
        self.optimizer_checkpoint_tmp_filename = join_dir(Experiment.OPTIMIZER_CHECKPOINT_TMP_FILENAME)
        self.log_filename = join_dir(Experiment.LOG_FILENAME)
        self.tensorboard_directory = join_dir(Experiment.TENSORBOARD_DIRECTORY)
        self.epoch_filename = join_dir(Experiment.EPOCH_FILENAME)
        self.epoch_tmp_filename = join_dir(Experiment.EPOCH_TMP_FILENAME)
        self.lr_scheduler_filename = join_dir(Experiment.LR_SCHEDULER_FILENAME)
        self.lr_scheduler_tmp_filename = join_dir(Experiment.LR_SCHEDULER_TMP_FILENAME)
        self.test_log_filename = join_dir(Experiment.TEST_LOG_FILENAME)

Poutyne

A simplified framework and utilities for PyTorch.

GitHub
LGPL-3.0
Latest version published 9 days ago

Package Health Score

81 / 100
Full package analysis

Popular Poutyne functions

Similar packages