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Replace torch.no_grad() with torch.inference_mode() #245

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Sep 1, 2022
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Replace torch.no_grad() with torch.inference_mode() #245

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4 changes: 2 additions & 2 deletions examples/hf_transformers/text_classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -124,7 +124,7 @@ def train_one_epoch(training_box, epoch, log_freq):
metric_logger.meters['sample/s'].update(batch_size / (time.time() - start_time))


@torch.no_grad()
@torch.inference_mode()
def evaluate(model, data_loader, metric, is_regression, accelerator, title=None, header='Test: '):
if title is not None:
logger.info(title)
Expand Down Expand Up @@ -170,7 +170,7 @@ def train(teacher_model, student_model, dataset_dict, is_regression, ckpt_dir_pa
training_box.post_process()


@torch.no_grad()
@torch.inference_mode()
def predict_private(model, dataset_dict, label_names_dict, is_regression, accelerator,
private_configs, private_output_dir_path):
logger.info('Start prediction for private dataset(s)')
Expand Down